VISOAL by vhcardenas

¿Qué es un Data Warehouse?

2024-06-19T11:59:00.000-07:00

Un data warehouse es un sistema diseñado para el análisis y reporte de datos. Su objetivo principal es permitir a las empresas tomar decisiones informadas basadas en los datos que recopilan y almacenan permite generar informes y realizar pronósticos de manera oportuna. A diferencia de las bases de datos operacionales, que están optimizadas para transacciones rápidas y frecuentes, es decir insertar, actualizar y eliminar datos, los data warehouses están optimizados para realizar consultas complejas y análisis de grandes volúmenes de datos.

Características de un Data Warehouse

Integración de Datos: Reúne datos de múltiples fuentes, como bases de datos transaccionales, sistemas ERP, CRM, archivos planos, etc. Esta integración permite tener una visión unificada de la información.
Orientación a Sujetos: Los datos se organizan en torno a temas o áreas de interés, como ventas, finanzas, marketing, etc., en lugar de estar organizados por transacciones individuales.
Histórico y Temporal: Almacena datos históricos para permitir análisis de tendencias a lo largo del tiempo. Esto significa que puedes analizar cómo ha cambiado la información en el tiempo.
No Volátil: Una vez que los datos se almacenan en el data warehouse, generalmente no se modifican. Esto asegura que los análisis sean consistentes y repetibles.
Optimización para Consultas: Está diseñado para realizar consultas complejas y grandes volúmenes de datos de manera rápida y eficiente.

Componentes de un Data Warehouse

ETL (Extracción, Transformación y Carga):
Almacenamiento de Datos: Es la base de datos central donde se almacenan todos los datos integrados y transformados.
Herramientas de Consulta y Reportes: Herramientas que permiten a los usuarios finales realizar consultas y generar informes basados en los datos almacenados.
OLAP (Procesamiento Analítico en Línea): Herramientas y tecnologías que permiten analizar los datos desde múltiples perspectivas. Por ejemplo, puedes analizar ventas por región, por producto, por periodo de tiempo, etc.

Modelos de Data Warehouse

Los modelos de almacén de datos se refieren a los diseños y estructuras arquitectónicos utilizados para organizar y gestionar datos dentro de un entorno de almacenamiento de datos . Estos modelos dictan cómo se almacenan, acceden y utilizan los datos con fines analíticos. Las secciones principales de un modelo incluyen:

Almacén virtual: compuesto por bases de datos separadas que se pueden consultar colectivamente, lo que permite a los usuarios acceder a los datos como si estuvieran almacenados en un único almacén.
Data Mart: centrado en funciones o departamentos comerciales específicos, que contiene subconjuntos de datos diseñados para el análisis.
Almacén de datos empresariales: repositorio completo que integra datos de diversas fuentes en una organización, respaldando análisis e informes en toda la empresa.

Reorganización de datos para un Data Warehouse

En un Data Warehouse se usa la normalización y desnormalización de datos como una forma de reorganización de los datos, cumpliendo dos requisitos principales, el primero es eliminar la redundancia de datos y proteger la dependencia de los datos y por otro lado, la desnormalización aumenta la funcionalidad de la infraestructura del sistema de base de datos.

Diseño de un Data Warehouse

Al diseñar un data warehouse se suele tener en cuenta dos enfoques populares y ampliamente utilizados que son las metodologías Kimball y de Inmon. Cada metodología tiene sus propias filosofías y estrategias para la construcción y gestión de almacenes de datos. Mencionemos de que se trata cada una de ellas:

Metodología de Kimball

La metodología de Ralph Kimball es conocida como el enfoque dimensional o de «bottom-up» (de abajo hacia arriba).

Principios Básicos

Enfoque Dimensional: La metodología de Kimball se centra en el diseño de modelos dimensionales, que consisten en hechos y dimensiones. Los hechos son eventos de negocio que se registran, y las dimensiones son los contextos alrededor de esos hechos.
Data Marts: Se comienza con la creación de data marts específicos para áreas de negocio particulares (ventas, finanzas, marketing, etc.). Estos data marts están diseñados para resolver necesidades de análisis particulares y se integran entre sí para formar el data warehouse global.
Conformación de Dimensiones: Las dimensiones son compartidas entre los diferentes data marts, lo que permite una visión coherente y consistente de la información en toda la organización.
ETL: Se implementa un proceso de ETL (Extracción, Transformación y Carga) para alimentar los data marts con datos provenientes de las distintas fuentes operacionales.

Metodología de Inmon

La metodología de Bill Inmon es conocida como el enfoque corporativo o de «top-down» (de arriba hacia abajo).

Principios Básicos

Enfoque Corporativo: La metodología de Inmon se centra en crear un data warehouse centralizado y normalizado desde el inicio, que sirva como una única fuente de verdad para toda la organización.
Modelo Relacional Normalizado: El data warehouse se diseña utilizando un modelo relacional altamente normalizado (3NF). Esto minimiza la redundancia y asegura la integridad de los datos.
Data Marts Derivados: Los data marts se crean posteriormente a partir del data warehouse central. Estos data marts pueden estar desnormalizados y diseñados para satisfacer necesidades específicas de análisis.
ETL: Un robusto proceso de ETL es necesario para integrar los datos de las diversas fuentes operacionales en el data warehouse central.

Beneficios de un Data Warehouse

En conclución un data warehouse es una herramienta poderosa para el análisis y la toma de decisiones basada en datos, permitiendo a las empresas aprovechar al máximo la información que recopilan, sus beneficios son:

Mejora en la Toma de Decisiones: Al tener acceso a datos integrados y consolidados, las empresas pueden tomar decisiones más informadas y estratégicas.
Análisis de Tendencias: Facilita el análisis de datos históricos para identificar tendencias y patrones.
Eficiencia Operativa: Reduce el tiempo y esfuerzo necesarios para realizar análisis de datos.
Acceso Rápido a Información: Permite realizar consultas y generar reportes de manera rápida y eficiente.

Revisión y optimización continua del Rendimiento de SQL Server

2024-05-15T12:10:00.000-07:00

Para asegurar el funcionamiento óptimo de las consultas y transacciones en una base de datos SQL Server, es crucial revisar y optimizar varios aspectos del sistema. Aquí te dejo una lista de 10 puntos clave que podrías considerar:

1. Revisar y Optimizar los Índices

Identificar Índices Faltantes: Usa Dynamic Management Views (DMVs) como sys.dm_db_missing_index_details para identificar índices que podrían mejorar el rendimiento de las consultas.
Revisar la Fragmentación de Índices: Verifica la fragmentación de los índices y reorganízalos o reconstruye aquellos con alta fragmentación utilizando sys.dm_db_index_physical_stats.

2. Análisis de Consultas

Revisar los Planes de Ejecución: Utiliza el comando SET STATISTICS PROFILE ON o el SQL Server Management Studio (SSMS) para obtener y analizar los planes de ejecución de las consultas.
Buscar Consultas Costosas: Utiliza sys.dm_exec_query_stats para encontrar las consultas que consumen más recursos.

3. Optimización de Consultas

**Evitar SELECT * **: Selecciona únicamente las columnas necesarias en tus consultas.
Uso de JOINs Eficientes: Asegúrate de que los JOIN sean necesarios y optimizados. Utiliza índices en las columnas involucradas en los JOIN.

4. Monitorear y Gestionar la Contención y Bloqueos

Identificar y Resolver Bloqueos: Utiliza sys.dm_exec_requests y sys.dm_tran_locks para identificar y resolver bloqueos.
Transacciones Cortas: Mantén las transacciones lo más cortas posible para reducir la probabilidad de bloqueos.

5. Configuración de la Base de Datos

Ajustes de Parámetros: Revisa y ajusta parámetros clave como el tamaño de tempdb, el Max Degree of Parallelism (MAXDOP), y el Cost Threshold for Parallelism.
Autogrowth de Archivos: Configura el crecimiento automático de archivos de base de datos para evitar fragmentación y problemas de rendimiento.

6. Revisión de Estadísticas

Actualizar Estadísticas Regularmente: Utiliza UPDATE STATISTICS para asegurarte de que las estadísticas estén actualizadas, lo cual es crucial para que el optimizador de consultas elija el mejor plan de ejecución.

7. Monitorear y Optimizar el uso de TempDB

Distribuir archivos TempDB: Asegúrate de que tempdb esté configurado con múltiples archivos de datos para mejorar el rendimiento.
Monitorear el Uso: Utiliza DMVs como sys.dm_db_task_space_usage y sys.dm_db_session_space_usage para monitorear el uso de tempdb.

8. Uso Eficiente de Recursos

Memory Grants: Verifica y ajusta los memory grants para consultas que consumen mucha memoria usando DMVs como sys.dm_exec_query_memory_grants.
Buffer Pool: Monitorea el uso del buffer pool y asegúrate de que esté suficientemente dimensionado para evitar paginaciones innecesarias.

9. Monitoreo de Rendimiento

CPU y IO: Utiliza herramientas como el Monitor de Rendimiento de Windows y las vistas de administración dinámica (DMVs) para monitorear el uso de CPU y disco.
Batch Requests/Sec: Monitorea la cantidad de batch requests por segundo, ya que es un buen indicador de la carga de trabajo del servidor.

10. Implementación de Buenas Prácticas de Diseño

Normalización y Desnormalización: Asegúrate de que las tablas estén correctamente normalizadas para evitar redundancia, pero desnormaliza cuando sea necesario para mejorar el rendimiento de ciertas consultas.
Uso de Procedimientos Almacenados: Utiliza procedimientos almacenados para encapsular lógica compleja de consultas y mejorar la seguridad y el rendimiento.

Implementación de Script de Monitoreo Básico

A continuación, te dejo un script básico que puedes usar para obtener información clave sobre el rendimiento de tu servidor SQL Server:

-- Consultas de alto consumo de recursos
SELECT TOP 10
    total_worker_time / execution_count AS AvgCPUTime,
    total_elapsed_time / execution_count AS AvgElapsedTime,
    total_logical_reads / execution_count AS AvgLogicalReads,
    execution_count,
    statement_text,
    query_hash
FROM
(
    SELECT
        qs.*,
        SUBSTRING(st.text, (qs.statement_start_offset / 2) + 1,
        ((CASE qs.statement_end_offset
            WHEN -1 THEN DATALENGTH(st.text)
            ELSE qs.statement_end_offset
        END - qs.statement_start_offset) / 2) + 1) AS statement_text
    FROM
        sys.dm_exec_query_stats qs
    CROSS APPLY
        sys.dm_exec_sql_text(qs.sql_handle) st
) AS sub
ORDER BY AvgCPUTime DESC;

-- Fragmentación de índices
SELECT
    dbschemas.[name] AS SchemaName,
    dbtables.[name] AS TableName,
    dbindexes.[name] AS IndexName,
    indexstats.avg_fragmentation_in_percent,
    indexstats.page_count
FROM 
    sys.dm_db_index_physical_stats(DB_ID(), NULL, NULL, NULL, 'LIMITED') AS indexstats
INNER JOIN 
    sys.tables dbtables ON dbtables.[object_id] = indexstats.[object_id]
INNER JOIN 
    sys.schemas dbschemas ON dbtables.[schema_id] = dbschemas.[schema_id]
INNER JOIN 
    sys.indexes dbindexes ON dbindexes.[object_id] = indexstats.[object_id]
WHERE 
    indexstats.avg_fragmentation_in_percent > 10 AND indexstats.page_count > 1000
ORDER BY 
    indexstats.avg_fragmentation_in_percent DESC;

-- Bloqueos actuales
SELECT
    r.blocking_session_id AS BlockingSessionID,
    r.session_id AS BlockedSessionID,
    l.resource_type AS ResourceType,
    DB_NAME(r.database_id) AS DatabaseName,
    OBJECT_NAME(l.resource_associated_entity_id, r.database_id) AS ObjectName,
    r.start_time AS RequestStartTime,
    s1.host_name AS BlockingHostName,
    s1.login_name AS BlockingLoginName,
    s2.host_name AS BlockedHostName,
    s2.login_name AS BlockedLoginName,
    s1.program_name AS BlockingProgramName,
    s2.program_name AS BlockedProgramName,
    st.text AS BlockedSQLText
FROM
    sys.dm_exec_requests r
JOIN
    sys.dm_exec_sessions s1 ON r.blocking_session_id = s1.session_id
JOIN
    sys.dm_exec_sessions s2 ON r.session_id = s2.session_id
JOIN
    sys.dm_tran_locks l ON r.session_id = l.request_session_id
CROSS APPLY
    sys.dm_exec_sql_text(r.sql_handle) AS st
WHERE
    r.blocking_session_id <> 0
ORDER BY
    BlockingSessionID, BlockedSessionID;

-- Consultas con alta memoria grant
SELECT
    session_id,
    request_id,
    grant_time,
    requested_memory_kb,
    granted_memory_kb,
    used_memory_kb,
    max_used_memory_kb
FROM
    sys.dm_exec_query_memory_grants
ORDER BY
    requested_memory_kb DESC;

La revisión y optimización continua del rendimiento de SQL Server son esenciales para mantener la eficiencia y la estabilidad del sistema. Asegúrate de implementar monitoreo proactivo y realizar ajustes basados en el análisis de datos para prevenir problemas de rendimiento antes de que afecten significativamente a los usuarios finales.

Introducción al análisis de datos

2023-11-03T17:44:00.016-07:00

Introducción

Fuente: Microsoft

Como analista de datos, está en un viaje. Piensa en todos los datos que se generan cada día y están disponibles en tu organización, desde datos transaccionales en bases de datos tradicionales, hasta datos de telemetría de los servicios que utilizas, pasando por las señales que recibes de diferentes áreas como las redes sociales.

Por ejemplo, las empresas de ventas de hoy en día recopilan y almacenan cantidades masivas de datos que rastrean los artículos que se buscaron y se compraron, las páginas que visitaron en su sitio, los pasillos en los que compra productos, los hábitos de gasto de los clientes y mucho más.

Con los datos y la información como el activo más estratégico de un negocio, el desafío subyacente que enfrentan las organizaciones hoy en día es comprender y utilizar sus datos para afectar positivamente el cambio dentro del negocio. Las empresas continúan luchando por usar sus datos de manera significativa y productiva, lo que afecta su capacidad de actuar.

Una empresa que vende un producto o servicio debe poder usar sus grandes cantidades de datos e información de tal manera que impacte en el negocio, incluyendo:

· seguimiento de inventario

· Identificar hábitos de compra.

· Detección de tendencias y patrones de usuarios.

· Recomendar compras

· Determinación de optimizaciones de precios

· Identificar y detener el fraude

Además, es posible que esté buscando patrones de venta diarios/mensuales. Los segmentos de datos comunes que quizás desee examinar incluyen día tras día, semana tras semana y mes tras mes para que pueda comparar cómo han sido las ventas con respecto a dónde estaban en la misma semana del año pasado, por ejemplo.

La clave para desbloquear estos datos es poder contar una historia con ellos. En el mundo empresarial altamente competitivo y vertiginoso de hoy en día, la elaboración de informes que cuenten esa historia es lo que ayuda a los líderes empresariales a tomar medidas sobre los datos. Los tomadores de decisiones comerciales dependen de una historia precisa para impulsar mejores decisiones comerciales. Cuanto más rápido una empresa pueda tomar decisiones precisas, más competitivas serán y mejores ventajas tendrán. Sin la historia, es difícil entender lo que los datos intentan decirte.

Sin embargo, tener datos por sí solo no es suficiente. Debe poder actuar sobre los datos para afectar el cambio dentro del negocio. Esa acción podría implicar la reasignación de recursos dentro del negocio para satisfacer una necesidad, o podría ser identificar una campaña fallida y saber cuándo cambiar de rumbo. En estas situaciones es importante contar una historia con sus datos.

El desafío subyacente al que se enfrentan las empresas hoy en día es comprender y utilizar sus datos de tal manera que impacte en su negocio y, en última instancia, en sus resultados. Debe poder ver los datos y facilitar decisiones comerciales confiables. Luego, necesita la capacidad de mirar las métricas y comprender claramente el significado detrás de esas métricas.

Este requisito puede parecer desalentador, pero es una tarea que puede realizar. Su primer paso es asociarse con expertos en datos dentro de su organización, como ingenieros de datos y científicos de datos, para ayudarlo a obtener los datos que necesita para contar esa historia. Pida a estos expertos que participen en ese viaje de datos con usted.

Su viaje de contar una historia con datos también se relaciona con la construcción de esa cultura de datos dentro de su organización. Si bien contar la historia es importante, el lugar donde se cuenta esa historia también es crucial, asegurando que la historia se cuente a las personas adecuadas. Además, asegúrese de que las personas puedan descubrir la historia, que sepan dónde encontrarla y que sea parte de las interacciones regulares.

El análisis de datos existe para ayudar a superar estos desafíos y puntos débiles y, en última instancia, ayudar a las empresas a encontrar información y descubrir el valor oculto en grandes cantidades de datos a través de la narración de historias. A medida que siga leyendo, aprenderá cómo usar y aplicar habilidades analíticas para ir más allá de un solo informe y ayudar a impactar e influir en su organización al contar historias con datos e impulsar esa cultura de datos.

Descripción general del análisis de datos

Antes de que los datos puedan usarse para contar una historia, deben pasar por un proceso que los haga utilizables en la historia. El análisis de datos es el proceso de identificar, limpiar, transformar y modelar datos para descubrir información significativa y útil. Luego, los datos se elaboran en una historia a través de informes para el análisis para respaldar el proceso crítico de toma de decisiones.

A medida que el mundo se vuelve más impulsado por los datos, la narración a través del análisis de datos se está convirtiendo en un componente y aspecto vital de las empresas grandes y pequeñas. Es la razón por la que las organizaciones continúan contratando analistas de datos.

Las empresas basadas en datos toman decisiones basadas en la historia que cuentan sus datos, y en el mundo actual basado en datos, los datos no se utilizan en todo su potencial, un desafío al que se enfrentan la mayoría de las empresas. El análisis de datos es, y debería ser, un aspecto crítico de todas las organizaciones para ayudar a determinar el impacto en su negocio, incluida la evaluación de la opinión del cliente, la realización de estudios de mercado y de productos, y la identificación de tendencias u otras perspectivas de datos.

Si bien el proceso de análisis de datos se centra en las tareas de limpieza, modelado y visualización de datos, no se debe subestimar el concepto de análisis de datos y su importancia para el negocio. Para analizar los datos, los componentes centrales de la analítica se dividen en las siguientes categorías:

Descriptivo
Diagnóstico
Profético
Preceptivo
Cognitivo

Analítica descriptiva

El análisis descriptivo ayuda a responder preguntas sobre lo que sucedió en función de los datos históricos. Las técnicas de análisis descriptivo resumen grandes conjuntos de datos para describir los resultados a las partes interesadas.

Al desarrollar indicadores clave de rendimiento (KPI), estas estrategias pueden ayudar a rastrear el éxito o el fracaso de los objetivos clave. Las métricas como el retorno de la inversión (ROI) se utilizan en muchas industrias y se desarrollan métricas especializadas para realizar un seguimiento del rendimiento en industrias específicas.

Un ejemplo de análisis descriptivo es generar informes para proporcionar una vista de los datos financieros y de ventas de una organización.

Análisis de diagnóstico

Los análisis de diagnóstico ayudan a responder preguntas sobre por qué sucedieron los eventos. Las técnicas de análisis de diagnóstico complementan el análisis descriptivo básico y utilizan los resultados del análisis descriptivo para descubrir la causa de estos eventos. Luego, los indicadores de desempeño se investigan más a fondo para descubrir por qué estos eventos mejoraron o empeoraron. Generalmente, este proceso ocurre en tres pasos:

· Identificar anomalías en los datos. Estas anomalías pueden ser cambios inesperados en una métrica o en un mercado en particular.

· Recopile datos relacionados con estas anomalías.

· Utilice técnicas estadísticas para descubrir relaciones y tendencias que expliquen estas anomalías.

Analítica predictiva

El análisis predictivo ayuda a responder preguntas sobre lo que sucederá en el futuro. Las técnicas de análisis predictivo utilizan datos históricos para identificar tendencias y determinar si es probable que se repitan. Las herramientas analíticas predictivas brindan información valiosa sobre lo que podría suceder en el futuro. Las técnicas incluyen una variedad de técnicas estadísticas y de aprendizaje automático, como redes neuronales, árboles de decisión y regresión.

Analítica prescriptiva

El análisis prescriptivo ayuda a responder preguntas sobre qué acciones se deben tomar para lograr una meta o un objetivo. Mediante el uso de información de análisis predictivo, las organizaciones pueden tomar decisiones basadas en datos. Esta técnica permite a las empresas tomar decisiones informadas ante la incertidumbre. Las técnicas de análisis prescriptivo se basan en el aprendizaje automático como una de las estrategias para encontrar patrones en grandes conjuntos de datos. Al analizar decisiones y eventos pasados, las organizaciones pueden estimar la probabilidad de diferentes resultados.

Analítica cognitiva

El análisis cognitivo intenta extraer inferencias de datos y patrones existentes, derivar conclusiones basadas en bases de conocimiento existentes y luego agregar estos hallazgos nuevamente a la base de conocimiento para inferencias futuras, un ciclo de retroalimentación de autoaprendizaje. El análisis cognitivo lo ayuda a saber qué podría suceder si las circunstancias cambian y determinar cómo podría manejar estas situaciones.

Las inferencias no son consultas estructuradas basadas en una base de datos de reglas; más bien, son hipótesis no estructuradas que se recopilan de varias fuentes y se expresan con diversos grados de confianza. Los análisis cognitivos efectivos dependen de algoritmos de aprendizaje automático y utilizarán varios conceptos de procesamiento de lenguaje natural para dar sentido a las fuentes de datos no explotadas anteriormente, como los registros de conversación del centro de llamadas y las reseñas de productos.

Roles en los datos

Contar una historia con los datos es un viaje que normalmente no comienza contigo. Los datos deben venir de alguna parte. Obtener esos datos en un lugar que pueda utilizar requiere un esfuerzo que probablemente esté fuera de su alcance, especialmente en consideración de la empresa.

Las aplicaciones y los proyectos actuales pueden ser grandes e intrincados y, a menudo, implican el uso de habilidades y conocimientos de numerosas personas. Cada persona aporta un talento y experiencia únicos, compartiendo el esfuerzo de trabajar juntos y coordinar tareas y responsabilidades para ver un proyecto desde el concepto hasta la producción.

En el pasado reciente, roles como analistas comerciales y desarrolladores de inteligencia comercial eran el estándar para el procesamiento y la comprensión de datos. Sin embargo, la expansión excesiva del tamaño y los diferentes tipos de datos ha provocado que estos roles evolucionen hacia conjuntos de habilidades más especializados que modernizan y agilizan los procesos de ingeniería y análisis de datos.

Las siguientes secciones destacan estos diferentes roles en los datos y la responsabilidad específica en el espectro general de descubrimiento y comprensión de datos:

Analista de negocios
Analista de datos
Ingeniero de datos
Científico de datos
Administrador de base de datos

Analista de negocios

Si bien existen algunas similitudes entre un analista de datos y un analista de negocios, el diferenciador clave entre los dos roles es lo que hacen con los datos. Un analista de negocios está más cerca del negocio y es un especialista en interpretar los datos que provienen de la visualización. A menudo, los roles de analista de datos y analista de negocios pueden ser responsabilidad de una sola persona.

Analista de datos

Un analista de datos permite a las empresas maximizar el valor de sus activos de datos a través de herramientas de visualización e informes como Microsoft Power BI. Los analistas de datos son responsables de perfilar, limpiar y transformar los datos. Sus responsabilidades también incluyen el diseño y la creación de modelos de datos escalables y efectivos, y la habilitación e implementación de capacidades de análisis avanzado en informes para análisis. Un analista de datos trabaja con las partes interesadas pertinentes para identificar los datos apropiados y necesarios y los requisitos de informes, y luego se les asigna la tarea de convertir los datos sin procesar en información relevante y significativa.

Un analista de datos también es responsable de la administración de los activos de Power BI, incluidos los informes, los paneles, las áreas de trabajo y los conjuntos de datos subyacentes que se usan en los informes. Tienen la tarea de implementar y configurar los procedimientos de seguridad adecuados, junto con los requisitos de las partes interesadas, para garantizar la protección de todos los activos de Power BI y sus datos.

Los analistas de datos trabajan con ingenieros de datos para determinar y ubicar fuentes de datos adecuadas que cumplan con los requisitos de las partes interesadas. Además, los analistas de datos trabajan con el ingeniero de datos y el administrador de la base de datos para garantizar que el analista tenga acceso adecuado a las fuentes de datos necesarias. El analista de datos también trabaja con el ingeniero de datos para identificar nuevos procesos o mejorar los procesos existentes para recopilar datos para el análisis.

Ingeniero de datos

Los ingenieros de datos aprovisionan y configuran tecnologías de plataforma de datos que están en las instalaciones y en la nube. Gestionan y aseguran el flujo de datos estructurados y no estructurados de múltiples fuentes. Las plataformas de datos que utilizan pueden incluir bases de datos relacionales, bases de datos no relacionales, flujos de datos y almacenes de archivos. Los ingenieros de datos también se aseguran de que los servicios de datos se integren de forma segura y sin problemas en las plataformas de datos.

Las responsabilidades principales de los ingenieros de datos incluyen el uso de herramientas y servicios de datos locales y en la nube para ingerir, extraer y transformar datos de múltiples fuentes. Los ingenieros de datos colaboran con las partes interesadas del negocio para identificar y cumplir con los requisitos de datos. Diseñan e implementan soluciones.

Si bien puede existir cierta alineación en las tareas y responsabilidades de un ingeniero de datos y un administrador de base de datos, el alcance del trabajo de un ingeniero de datos va mucho más allá de cuidar una base de datos y el servidor donde está alojada y probablemente no incluye la administración general de datos operativos.

Un ingeniero de datos agrega un valor tremendo a los proyectos de inteligencia comercial y ciencia de datos. Cuando el ingeniero de datos reúne datos, lo que a menudo se describe como disputa de datos, los proyectos avanzan más rápido porque los científicos de datos pueden concentrarse en sus propias áreas de trabajo.

Como analista de datos, trabajaría en estrecha colaboración con un ingeniero de datos para asegurarse de que pueda acceder a la variedad de fuentes de datos estructurados y no estructurados, ya que lo ayudarán a optimizar los modelos de datos, que normalmente se sirven desde un almacén de datos o un lago de datos modernos. .

Tanto los administradores de bases de datos como los profesionales de inteligencia comercial pueden hacer la transición a un rol de ingeniero de datos; necesitan aprender las herramientas y la tecnología que se utilizan para procesar grandes cantidades de datos.

Científico de datos

Los científicos de datos realizan análisis avanzados para extraer valor de los datos. Su trabajo puede variar desde el análisis descriptivo hasta el análisis predictivo. El análisis descriptivo evalúa los datos a través de un proceso conocido como análisis exploratorio de datos (EDA). El análisis predictivo se utiliza en el aprendizaje automático para aplicar técnicas de modelado que pueden detectar anomalías o patrones. Estos análisis son partes importantes de los modelos de pronóstico.

Los análisis descriptivos y predictivos son solo aspectos parciales del trabajo de los científicos de datos. Algunos científicos de datos pueden trabajar en el ámbito del aprendizaje profundo, realizando experimentos iterativos para resolver un problema de datos complejo mediante el uso de algoritmos personalizados.

La evidencia anecdótica sugiere que la mayor parte del trabajo en un proyecto de ciencia de datos se gasta en disputas de datos e ingeniería de características. Los científicos de datos pueden acelerar el proceso de experimentación cuando los ingenieros de datos usan sus habilidades para manejar los datos con éxito.

En la superficie, podría parecer que un científico de datos y un analista de datos están muy separados en el trabajo que realizan, pero esta conjetura no es cierta. Un científico de datos analiza los datos para determinar las preguntas que necesitan respuestas y, a menudo, ideará una hipótesis o un experimento y luego recurrirá al analista de datos para que lo ayude con la visualización y el informe de datos.

Administrador de base de datos

Un administrador de base de datos implementa y administra los aspectos operativos de las soluciones de plataforma de datos híbridas y nativas de la nube que se basan en los servicios de datos de Microsoft Azure y Microsoft SQL Server. Un administrador de base de datos es responsable de la disponibilidad general y el rendimiento constante y las optimizaciones de las soluciones de base de datos. Trabajan con las partes interesadas para identificar e implementar las políticas, las herramientas y los procesos para los planes de copia de seguridad y recuperación de datos.

El rol de un administrador de base de datos es diferente del rol de un ingeniero de datos. Un administrador de base de datos supervisa y gestiona el estado general de una base de datos y el hardware en el que reside, mientras que un ingeniero de datos participa en el proceso de disputa de datos, en otras palabras, ingesta, transformación, validación y limpieza de datos para satisfacer las necesidades comerciales. y requisitos.

El administrador de la base de datos también es responsable de administrar la seguridad general de los datos, otorgando y restringiendo el acceso y los privilegios de los usuarios a los datos según lo determinen las necesidades y los requisitos comerciales.

Modelado de datos y funciones en Dax con PowerBI

2023-10-28T13:39:00.011-07:00

En Microsoft Power BI, el modelo de datos respalda el desarrollo de informes y tableros. Para producir los informes y tableros correctos, debe tener una comprensión clara de las preguntas que harán los usuarios de su informe y tablero. Su próximo enfoque debe estar en el diseño del modelo de datos que mejor admita las visualizaciones en sus informes y tableros. Una vez que haya llegado al diseño de un modelo, estará listo para usar Power BI Desktop para desarrollar el modelo.

Al desarrollar el modelo, completará las siguientes tareas:

· Conectar a datos

· Transformar y preparar datos

· Defina la lógica empresarial agregando cálculos de Expresiones de análisis de datos (DAX)

· Aplique permisos de datos con seguridad a nivel de fila agregando roles

· Publicar el modelo en Power BI

En este video llegamos hasta la aplicación de cálculos para desarrollar la lógica empresarial.

Grupos de alta disponibilidad en el SQL Server

2023-10-26T13:34:00.009-07:00

SQL Server incluye varias opciones para la implementación de alta disponibilidad. Una de estas opciones son los grupos de alta disponibilidad.

Grupos de disponibilidad AlwaysOn

El AlwaysOn aprovecha la tecnología de Failover Cluster de Windows (WSFC) para proporcionar a nivel de base de datos de alta disponibilidad. Aunque los grupos de disponibilidad son conceptualmente similar a la creación de reflejo de base de datos, que ofrecen una forma más robusta de la protección de las bases de datos, y también proporcionan una funcionalidad más avanzada.

Para crear un grupo de disponibilidad de AlwaysOn, es necesario crear primero un WSFC y añadir servidores SQL 2,014 como miembros del clúster de SQL Server de host. El WSFC apoya el grupo de disponibilidad mediante el control de la salud de las réplicas y la gestión de conmutación por error. Tenga en cuenta que, a pesar de que los grupos de disponibilidad AlwaysOn utilizan WSFC, no es necesario instalar SQL Server como una instancia de clúster; cada miembro del grupo de disponibilidad está instalado como una instancia independiente y tiene su propio almacenamiento dedicado. No hay ningún requisito para el almacenamiento compartido con grupos de disponibilidad AlwaysOn.

Introducción a Microsoft Fabric.

2023-10-25T09:43:00.000-07:00

Como una navaja suiza pero esta vez para el análisis de datos, llega Microsoft Fabric, que cubre desde el movimiento de datos hasta la ciencia de datos, el análisis en tiempo real y la inteligencia empresarial. Ofrece un conjunto completo de servicios que incluye un lago de datos, ingeniería de datos e integración de datos, todo en un solo lugar.

Con Fabric, no es necesario agrupar diferentes servicios de varios proveedores. En su lugar, puede disfrutar de un producto muy integrado, de un extremo a otro y fácil de usar diseñado para simplificar las necesidades de análisis.

La plataforma se basa en un Software como servicio (SaaS), que lleva la simplicidad y la integración a un nuevo nivel.

Manejo de inventario con Excel

2023-09-25T13:26:00.015-07:00

En esta grabación vemos como valiendonos de la función BuscarV, la función Sumar.Si y del formato de tabla en Excel creamos un inventario automatico devolviendo el stock actual de nuestros productos a partir de las entrdas y salidas.

Procedimientos, manejo de errores, triggers y transacciones.

2023-08-02T13:21:00.005-07:00

Grabación del Webinar donde reunimos a varios jóvenes que quieren aprender o reforzar sus conocimientos en SQL Server, en nuestra serie de charlas toca el turno de hablar del poder de SQL Server y en este caso completamos el tema de procedimientos y luego hablamos del manejo de transacciones y finalizamos las sesión hablando de triggers

Diapositiva patron en Power Point

2023-06-05T09:53:00.034-07:00

Crear una Diapositiva Patron en Power Point - YouTube

Un patrón de un vestido es un molde que sirve para cortar y coser las piezas de tela que forman una prenda, de la misma manera en power point se puede crear un patrón de diapositiva que contiene imágenes, el fondo, color de letra que se usan como base de nuestra presentación. En este vídeo te explicamos como crear un patrón, los pasos son:

En la pestaña Vista, haz clic en Patrón de diapositivas. En la vista Patrón de diapositivas, el patrón de diapositivas aparece en la parte superior del panel de miniaturas con los diseños relacionados debajo de él.
Haz clic para seleccionar la diapositiva patrón y luego en Diseño del patrón en la pestaña Patrón de diapositivas.
Haz las actualizaciones que quieras.
Para quitar los diseños de diapositiva integrados que acompañan al patrón de diapositiva predeterminado, en el panel de miniaturas de diapositivas, haz clic con el botón derecho en cada diseño de que quieras eliminar y luego haz clic Eliminar el diseño.
Para establecer la orientación de página de todas las diapositivas de la presentación, en la pestaña Patrón de diapositivas, haz clic en Orientación de la diapositiva y haz clic en Vertical u Horizontal.
En la pestaña Archivo, haz clic en Guardar como.
En el cuadro Nombre de archivo, escribe un nombre de archivo.
En la lista Guardar como tipo, haz clic en Plantilla de PowerPoint y luego en Guardar.

Ejemplos de Consultas y Procedimientos Almacenados en Mysql

2023-02-26T18:29:00.005-08:00

Use northwind;

-- Consultas de una tabla
-- Consulta de selección a la tabla de clientes

Select Customerid, Companyname
, ContactName, ContactTitle, Country
from customers;

-- Filtrar la tabla
Select Customerid, Companyname
, ContactName, ContactTitle, Country
from customers where CustomerID='BERGS';

Select Customerid, Companyname
, ContactName, ContactTitle, Country
from customers where CustomerID like '_A%';
-- uso del like
Select Customerid, Companyname
, ContactName, ContactTitle, Country
from customers where CustomerID like '%S'
or Country='UK';

-- Uso del between
Select productid, productname, unitprice
from products
where unitprice>=20 and unitprice <=30;

Select productid, productname, unitprice
from products
where unitprice between 20 and 30;

Select orderid, orderdate
from orders
where orderdate between '1997-01-01' and '1997-12-31';

-- Solo mostrar solo valores únicos
Select distinct country, city from customers;

-- Usar Ordenar y limit

Select productid, productname, unitprice
from products
order by unitprice desc
limit 10;

-- Join entre tablas ISO-ANSI 82
Select customers.Customerid, Customers.Companyname,
Customers.Country, Orders.Orderid, Orders.Orderdate
from Customers, Orders
where Customers.Customerid=Orders.Customerid
and customers.country='France';

Select c.Customerid, c.Companyname,
c.Country, o.Orderid, o.Orderdate
from Customers as c inner join Orders as o
on c.Customerid=o.Customerid
where o.orderid is null;

-- Join entre tablas ISO-ANSI 92
Select count(*)
from Orders as o cross join Customers as c;

-- Full join
Select c.Customerid, c.Companyname,
c.Country, o.Orderid, o.Orderdate
from Customers as c inner join Orders as o
on c.Customerid=o.Customerid
UNION
Select c.Customerid, c.Companyname,
c.Country, o.Orderid, o.Orderdate
from Customers as c left outer join Orders as o
on c.Customerid=o.Customerid
UNION
Select c.Customerid, c.Companyname,
c.Country, o.Orderid, o.Orderdate
from Customers as c right outer join Orders as o
on c.Customerid=o.Customerid
;

-- Obtener ventas de northwind
Create view view_sales
as
Select c.companyname, c.country, o.orderid, o.orderdate
,ca.categoryname, p.productname, d.unitprice, d.quantity
, d.unitprice * d.quantity as Sales
from customers as c inner join orders as o
on c.customerid=o.customerid
inner join orderdetails as d
on o.orderid=d.orderid
inner join products as p
on d.productid=p.productid
inner join categories as ca
on p.categoryid=ca.categoryid;

Select country, SUM(Sales) as Sale from view_sales
group by country;

Select companyname, SUM(Sales) as Sale from view_sales
group by companyname;

Select Year(orderdate) as Anio,
Month(orderdate) as Mes,
SUM(Sales) as Sale
from view_sales
group by Year(orderdate), Month(orderdate);

/*
Crear una consulta que devuelva cuantas ordenes despacho el empleado Nancy Davolio al cliente de
código 'ANTON'
*/
Select o.orderid, o.orderdate, e.firstname, e.lastname
, c.companyname, c.customerid
from employees as e inner join orders as o
on e.employeeid=o.employeeid
inner join customers as c
on o.customerid=c.customerid
where e.lastname='Davolio' and c.customerid='Rattc';

--Creación de procedimientos almacenados

Delimiter $$
Create procedure proc_ordenesCliente ( IN par_codigocliente varchar(5))
Begin
Select c.companyname, o.orderid, o.orderdate
from customers as c inner join orders as o
on c.customerid=o.customerid
where c.customerid=par_codigocliente;
End
$$
Delimiter ;

Call proc_ordenesCliente ('ALFKI');

-- Crear un procedimiento que inserte datos a customers

Delimiter $$
Create procedure proc_insert_customers (IN PCustomerID varchar(5),
IN PCompanyname varchar(60) , IN PContactTitle varchar(30)
, IN PAddress varchar(120), IN PCity varchar(50)
, IN PRegion varchar(60), IN PPostalCode varchar(60), IN PCountry varchar(50)
, IN PPhone varchar(60), IN PFax varchar(60))
Begin
Insert into Customers (CustomerID, Companyname, ContactTitle
, Address, City, Region, PostalCode, Country, Phone, Fax)
values
(PCustomerID, PCompanyname, PContactTitle
, PAddress, PCity, PRegion, PPostalCode, PCountry, PPhone, PFax);
End
$$
Delimiter ;

-- Ejecutar el procedimiento que inserta datos

Call proc_insert_customers ('ABCD1','Empresa Inc','Dr.','Ciudad'
,'Guatemala','Central','01005','Guatemala','1020-3040','4050-6070');

-- Consultar el dato insertado

Select * from customers;

procedimiento contará y devolverá el numero de ordenes de un cliente
Borrará un cliente si no tiene ordenes

Delimiter ##
Create procedure proc_contarordenes (In PCodigoCliene varchar(6),
out Pnumero bigint)
Begin
Select count(*)
into Pnumero
from Orders
where customerid=PCodigoCliene;
End
##

Delimiter ;

Delimiter ##
Create procedure proc_eliminarCliente (PCodigoCliente varchar(5))
Begin
Declare var_numero bigint;
Call proc_contarordenes (PCodigoCliente, var_numero);
if var_numero=0 then
Delete from customers where customerid=PCodigoCliente;
else
Select 'No es posible borrar este cliente porque tiene ordenes' as mensaje;
end if;
End
##

Delimiter ;

-- Ejecutar procedimiento

Set sql_safe_updates=0;
call proc_eliminarCliente ('ABCD1');
Select * from customers;

Script de Creación de Base de Datos Northwind en Mysql

2023-02-26T18:27:00.003-08:00

-- MySQL Administrator dump 1.4

-- ------------------------------------------------------

-- Server version 5.1.49-1ubuntu8.1

/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;

/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;

/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;

-- Create schema Northwind

DROP DATABASE IF EXISTS Northwind;
CREATE DATABASE Northwind;
USE Northwind;

-- Definition of table `Categories`

DROP TABLE IF EXISTS `Categories`;
CREATE TABLE `Categories` (
`CategoryID` int(11) NOT NULL AUTO_INCREMENT,
`CategoryName` varchar(15) NOT NULL,
`Description` longtext,
`Picture` longblob,
PRIMARY KEY (`CategoryID`),
KEY `Categories_CategoryName` (`CategoryName`)
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8;

-- Dumping data for table `Categories`

INSERT INTO `Categories` (`CategoryID`,`CategoryName`,`Description`,`Picture`) VALUES

(1,'Beverages','Soft drinks, coffees, teas, beers, and ales',NULL),

(2,'Condiments','Sweet and savory sauces, relishes, spreads, and seasonings',NULL),

(3,'Confections','Desserts, candies, and sweet breads',NULL),

(4,'Dairy Products','Cheeses',NULL),

(5,'Grains/Cereals','Breads, crackers, pasta, and cereal',NULL),

(6,'Meat/Poultry','Prepared meats',NULL),

(7,'Produce','Dried fruit and bean curd',NULL),

(8,'Seafood','Seaweed and fish',NULL);

-- Definition of table `CustomerCustomerDemo`

DROP TABLE IF EXISTS `CustomerCustomerDemo`;

CREATE TABLE `CustomerCustomerDemo` (

`CustomerID` char(5) NOT NULL,

`CustomerTypeID` char(10) NOT NULL,

PRIMARY KEY (`CustomerID`,`CustomerTypeID`),

KEY `FK_CustomerCustomerDemo` (`CustomerTypeID`),

KEY `FK_CustomerCustomerDemo_Customers` (`CustomerID`),

CONSTRAINT `FK_CustomerCustomerDemo` FOREIGN KEY (`CustomerTypeID`) REFERENCES `CustomerDemographics` (`CustomerTypeID`) ON DELETE NO ACTION ON UPDATE NO ACTION,

CONSTRAINT `FK_CustomerCustomerDemo_Customers` FOREIGN KEY (`CustomerID`) REFERENCES `Customers` (`CustomerID`) ON DELETE NO ACTION ON UPDATE NO ACTION

) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- Dumping data for table `CustomerCustomerDemo`

-- Definition of table `CustomerDemographics`

DROP TABLE IF EXISTS `CustomerDemographics`;

CREATE TABLE `CustomerDemographics` (

`CustomerTypeID` char(10) NOT NULL,

`CustomerDesc` longtext,

PRIMARY KEY (`CustomerTypeID`)

) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- Dumping data for table `CustomerDemographics`

-- Definition of table `Customers`

DROP TABLE IF EXISTS `Customers`;

CREATE TABLE `Customers` (

`CustomerID` char(5) NOT NULL,

`CompanyName` varchar(40) NOT NULL,

`ContactName` varchar(30) DEFAULT NULL,

`ContactTitle` varchar(30) DEFAULT NULL,

`Address` varchar(60) DEFAULT NULL,

`City` varchar(15) DEFAULT NULL,

`Region` varchar(15) DEFAULT NULL,

`PostalCode` varchar(10) DEFAULT NULL,

`Country` varchar(15) DEFAULT NULL,

`Phone` varchar(24) DEFAULT NULL,

`Fax` varchar(24) DEFAULT NULL,

PRIMARY KEY (`CustomerID`),

KEY `Customers_City` (`City`),

KEY `Customers_CompanyName` (`CompanyName`),

KEY `Customers_PostalCode` (`PostalCode`),

KEY `Customers_Region` (`Region`)

) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- Dumping data for table `Customers`

INSERT INTO `Customers` (`CustomerID`,`CompanyName`,`ContactName`,`ContactTitle`,`Address`,`City`,`Region`,`PostalCode`,`Country`,`Phone`,`Fax`) VALUES

('ALFKI','Alfreds Futterkiste','Maria Anders','Sales Representative','Obere Str. 57','Berlin','','12209','Germany','030-0074321','030-0076545'),

('ANATR','Ana Trujillo Emparedados y helados','Ana Trujillo','Owner','Avda. de la Constituci?n 2222','M?xico D.F.','','05021','Mexico','(5) 555-4729','(5) 555-3745'),

('ANTON','Antonio Moreno Taquer?a','Antonio Moreno','Owner','Mataderos 2312','M?xico D.F.','','05023','Mexico','(5) 555-3932',''),

('AROUT','Around the Horn','Thomas Hardy','Sales Representative','120 Hanover Sq.','London','','WA1 1DP','UK','(171) 555-7788','(171) 555-6750'),

('BERGS','Berglunds snabbk?p','Christina Berglund','Order Administrator','Berguvsv?gen 8','Lule?','','S-958 22','Sweden','0921-12 34 65','0921-12 34 67'),

('BLAUS','Blauer See Delikatessen','Hanna Moos','Sales Representative','Forsterstr. 57','Mannheim','','68306','Germany','0621-08460','0621-08924'),

('BLONP','Blondesddsl p?re et fils','Fr?d?rique Citeaux','Marketing Manager','24, place Kl?ber','Strasbourg','','67000','France','88.60.15.31','88.60.15.32'),

('BOLID','B?lido Comidas preparadas','Mart?n Sommer','Owner','C/ Araquil, 67','Madrid','','28023','Spain','(91) 555 22 82','(91) 555 91 99'),

('BONAP','Bon app\'','Laurence Lebihan','Owner','12, rue des Bouchers','Marseille','','13008','France','91.24.45.40','91.24.45.41'),

('BOTTM','Bottom-Dollar Markets','Elizabeth Lincoln','Accounting Manager','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada','(604) 555-4729','(604) 555-3745'),

('BSBEV','B\'s Beverages','Victoria Ashworth','Sales Representative','Fauntleroy Circus','London','','EC2 5NT','UK','(171) 555-1212',''),

('CACTU','Cactus Comidas para llevar','Patricio Simpson','Sales Agent','Cerrito 333','Buenos Aires','','1010','Argentina','(1) 135-5555','(1) 135-4892'),

('CENTC','Centro comercial Moctezuma','Francisco Chang','Marketing Manager','Sierras de Granada 9993','M?xico D.F.','','05022','Mexico','(5) 555-3392','(5) 555-7293'),

('CHOPS','Chop-suey Chinese','Yang Wang','Owner','Hauptstr. 29','Bern','','3012','Switzerland','0452-076545',''),

('COMMI','Com?rcio Mineiro','Pedro Afonso','Sales Associate','Av. dos Lus?adas, 23','Sao Paulo','SP','05432-043','Brazil','(11) 555-7647',''),

('CONSH','Consolidated Holdings','Elizabeth Brown','Sales Representative','Berkeley Gardens 12 Brewery','London','','WX1 6LT','UK','(171) 555-2282','(171) 555-9199'),

('DRACD','Drachenblut Delikatessen','Sven Ottlieb','Order Administrator','Walserweg 21','Aachen','','52066','Germany','0241-039123','0241-059428'),

('DUMON','Du monde entier','Janine Labrune','Owner','67, rue des Cinquante Otages','Nantes','','44000','France','40.67.88.88','40.67.89.89'),

('EASTC','Eastern Connection','Ann Devon','Sales Agent','35 King George','London','','WX3 6FW','UK','(171) 555-0297','(171) 555-3373'),

('ERNSH','Ernst Handel','Roland Mendel','Sales Manager','Kirchgasse 6','Graz','','8010','Austria','7675-3425','7675-3426'),

('FAMIA','Familia Arquibaldo','Aria Cruz','Marketing Assistant','Rua Or?s, 92','Sao Paulo','SP','05442-030','Brazil','(11) 555-9857',''),

('FISSA','FISSA Fabrica Inter. Salchichas S.A.','Diego Roel','Accounting Manager','C/ Moralzarzal, 86','Madrid','','28034','Spain','(91) 555 94 44','(91) 555 55 93'),

('FOLIG','Folies gourmandes','Martine Ranc?','Assistant Sales Agent','184, chauss?e de Tournai','Lille','','59000','France','20.16.10.16','20.16.10.17'),

('FOLKO','Folk och f? HB','Maria Larsson','Owner','?kergatan 24','Br?cke','','S-844 67','Sweden','0695-34 67 21',''),

('FRANK','Frankenversand','Peter Franken','Marketing Manager','Berliner Platz 43','M?nchen','','80805','Germany','089-0877310','089-0877451'),

('FRANR','France restauration','Carine Schmitt','Marketing Manager','54, rue Royale','Nantes','','44000','France','40.32.21.21','40.32.21.20'),

('FRANS','Franchi S.p.A.','Paolo Accorti','Sales Representative','Via Monte Bianco 34','Torino','','10100','Italy','011-4988260','011-4988261'),

('FURIB','Furia Bacalhau e Frutos do Mar','Lino Rodriguez','Sales Manager','Jardim das rosas n. 32','Lisboa','','1675','Portugal','(1) 354-2534','(1) 354-2535'),

('GALED','Galer?a del gastr?nomo','Eduardo Saavedra','Marketing Manager','Rambla de Catalu?a, 23','Barcelona','','08022','Spain','(93) 203 4560','(93) 203 4561'),

('GODOS','Godos Cocina T?pica','Jos? Pedro Freyre','Sales Manager','C/ Romero, 33','Sevilla','','41101','Spain','(95) 555 82 82',''),

('GOURL','Gourmet Lanchonetes','Andr? Fonseca','Sales Associate','Av. Brasil, 442','Campinas','SP','04876-786','Brazil','(11) 555-9482',''),

('GREAL','Great Lakes Food Market','Howard Snyder','Marketing Manager','2732 Baker Blvd.','Eugene','OR','97403','USA','(503) 555-7555',''),

('GROSR','GROSELLA-Restaurante','Manuel Pereira','Owner','5? Ave. Los Palos Grandes','Caracas','DF','1081','Venezuela','(2) 283-2951','(2) 283-3397'),

('HANAR','Hanari Carnes','Mario Pontes','Accounting Manager','Rua do Pa?o, 67','Rio de Janeiro','RJ','05454-876','Brazil','(21) 555-0091','(21) 555-8765'),

('HILAA','HILARION-Abastos','Carlos Hern?ndez','Sales Representative','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist?bal','T?chira','5022','Venezuela','(5) 555-1340','(5) 555-1948'),

('HUNGC','Hungry Coyote Import Store','Yoshi Latimer','Sales Representative','City Center Plaza 516 Main St.','Elgin','OR','97827','USA','(503) 555-6874','(503) 555-2376'),

('HUNGO','Hungry Owl All-Night Grocers','Patricia McKenna','Sales Associate','8 Johnstown Road','Cork','Co. Cork','','Ireland','2967 542','2967 3333'),

('ISLAT','Island Trading','Helen Bennett','Marketing Manager','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK','(198) 555-8888',''),

('KOENE','K?niglich Essen','Philip Cramer','Sales Associate','Maubelstr. 90','Brandenburg','','14776','Germany','0555-09876',''),

('LACOR','La corne d\'abondance','Daniel Tonini','Sales Representative','67, avenue de l\'Europe','Versailles','','78000','France','30.59.84.10','30.59.85.11'),

('LAMAI','La maison d\'Asie','Annette Roulet','Sales Manager','1 rue Alsace-Lorraine','Toulouse','','31000','France','61.77.61.10','61.77.61.11'),

('LAUGB','Laughing Bacchus Wine Cellars','Yoshi Tannamuri','Marketing Assistant','1900 Oak St.','Vancouver','BC','V3F 2K1','Canada','(604) 555-3392','(604) 555-7293'),

('LAZYK','Lazy K Kountry Store','John Steel','Marketing Manager','12 Orchestra Terrace','Walla Walla','WA','99362','USA','(509) 555-7969','(509) 555-6221'),

('LEHMS','Lehmanns Marktstand','Renate Messner','Sales Representative','Magazinweg 7','Frankfurt a.M.','','60528','Germany','069-0245984','069-0245874'),

('LETSS','Let\'s Stop N Shop','Jaime Yorres','Owner','87 Polk St. Suite 5','San Francisco','CA','94117','USA','(415) 555-5938',''),

('LILAS','LILA-Supermercado','Carlos Gonz?lez','Accounting Manager','Carrera 52 con Ave. Bol?var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela','(9) 331-6954','(9) 331-7256'),

('LINOD','LINO-Delicateses','Felipe Izquierdo','Owner','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela','(8) 34-56-12','(8) 34-93-93'),

('LONEP','Lonesome Pine Restaurant','Fran Wilson','Sales Manager','89 Chiaroscuro Rd.','Portland','OR','97219','USA','(503) 555-9573','(503) 555-9646'),

('MAGAA','Magazzini Alimentari Riuniti','Giovanni Rovelli','Marketing Manager','Via Ludovico il Moro 22','Bergamo','','24100','Italy','035-640230','035-640231'),

('MAISD','Maison Dewey','Catherine Dewey','Sales Agent','Rue Joseph-Bens 532','Bruxelles','','B-1180','Belgium','(02) 201 24 67','(02) 201 24 68'),

('MEREP','M?re Paillarde','Jean Fresni?re','Marketing Assistant','43 rue St. Laurent','Montr?al','Qu?bec','H1J 1C3','Canada','(514) 555-8054','(514) 555-8055'),

('MORGK','Morgenstern Gesundkost','Alexander Feuer','Marketing Assistant','Heerstr. 22','Leipzig','','04179','Germany','0342-023176',''),

('NORTS','North/South','Simon Crowther','Sales Associate','South House 300 Queensbridge','London','','SW7 1RZ','UK','(171) 555-7733','(171) 555-2530'),

('OCEAN','Oc?ano Atl?ntico Ltda.','Yvonne Moncada','Sales Agent','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires','','1010','Argentina','(1) 135-5333','(1) 135-5535'),

('OLDWO','Old World Delicatessen','Rene Phillips','Sales Representative','2743 Bering St.','Anchorage','AK','99508','USA','(907) 555-7584','(907) 555-2880'),

('OTTIK','Ottilies K?seladen','Henriette Pfalzheim','Owner','Mehrheimerstr. 369','K?ln','','50739','Germany','0221-0644327','0221-0765721'),

('PARIS','Paris sp?cialit?s','Marie Bertrand','Owner','265, boulevard Charonne','Paris','','75012','France','(1) 42.34.22.66','(1) 42.34.22.77'),

('PERIC','Pericles Comidas cl?sicas','Guillermo Fern?ndez','Sales Representative','Calle Dr. Jorge Cash 321','M?xico D.F.','','05033','Mexico','(5) 552-3745','(5) 545-3745'),

('PICCO','Piccolo und mehr','Georg Pipps','Sales Manager','Geislweg 14','Salzburg','','5020','Austria','6562-9722','6562-9723'),

('PRINI','Princesa Isabel Vinhos','Isabel de Castro','Sales Representative','Estrada da sa?de n. 58','Lisboa','','1756','Portugal','(1) 356-5634',''),

('QUEDE','Que Del?cia','Bernardo Batista','Accounting Manager','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil','(21) 555-4252','(21) 555-4545'),

('QUEEN','Queen Cozinha','L?cia Carvalho','Marketing Assistant','Alameda dos Can?rios, 891','Sao Paulo','SP','05487-020','Brazil','(11) 555-1189',''),

('QUICK','QUICK-Stop','Horst Kloss','Accounting Manager','Taucherstra?e 10','Cunewalde','','01307','Germany','0372-035188',''),

('RANCH','Rancho grande','Sergio Guti?rrez','Sales Representative','Av. del Libertador 900','Buenos Aires','','1010','Argentina','(1) 123-5555','(1) 123-5556'),

('RATTC','Rattlesnake Canyon Grocery','Paula Wilson','Assistant Sales Representative','2817 Milton Dr.','Albuquerque','NM','87110','USA','(505) 555-5939','(505) 555-3620'),

('REGGC','Reggiani Caseifici','Maurizio Moroni','Sales Associate','Strada Provinciale 124','Reggio Emilia','','42100','Italy','0522-556721','0522-556722'),

('RICAR','Ricardo Adocicados','Janete Limeira','Assistant Sales Agent','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil','(21) 555-3412',''),

('RICSU','Richter Supermarkt','Michael Holz','Sales Manager','Grenzacherweg 237','Gen?ve','','1203','Switzerland','0897-034214',''),

('ROMEY','Romero y tomillo','Alejandra Camino','Accounting Manager','Gran V?a, 1','Madrid','','28001','Spain','(91) 745 6200','(91) 745 6210'),

('SANTG','Sant? Gourmet','Jonas Bergulfsen','Owner','Erling Skakkes gate 78','Stavern','','4110','Norway','07-98 92 35','07-98 92 47'),

('SAVEA','Save-a-lot Markets','Jose Pavarotti','Sales Representative','187 Suffolk Ln.','Boise','ID','83720','USA','(208) 555-8097',''),

('SEVES','Seven Seas Imports','Hari Kumar','Sales Manager','90 Wadhurst Rd.','London','','OX15 4NB','UK','(171) 555-1717','(171) 555-5646'),

('SIMOB','Simons bistro','Jytte Petersen','Owner','Vinb?ltet 34','Kobenhavn','','1734','Denmark','31 12 34 56','31 13 35 57'),

('SPECD','Sp?cialit?s du monde','Dominique Perrier','Marketing Manager','25, rue Lauriston','Paris','','75016','France','(1) 47.55.60.10','(1) 47.55.60.20'),

('SPLIR','Split Rail Beer & Ale','Art Braunschweiger','Sales Manager','P.O. Box 555','Lander','WY','82520','USA','(307) 555-4680','(307) 555-6525'),

('SUPRD','Supr?mes d?lices','Pascale Cartrain','Accounting Manager','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium','(071) 23 67 22 20','(071) 23 67 22 21'),

('THEBI','The Big Cheese','Liz Nixon','Marketing Manager','89 Jefferson Way Suite 2','Portland','OR','97201','USA','(503) 555-3612',''),

('THECR','The Cracker Box','Liu Wong','Marketing Assistant','55 Grizzly Peak Rd.','Butte','MT','59801','USA','(406) 555-5834','(406) 555-8083'),

('TOMSP','Toms Spezialit?ten','Karin Josephs','Marketing Manager','Luisenstr. 48','M?nster','','44087','Germany','0251-031259','0251-035695'),

('TORTU','Tortuga Restaurante','Miguel Angel Paolino','Owner','Avda. Azteca 123','M?xico D.F.','','05033','Mexico','(5) 555-2933',''),

('TRADH','Tradi??o Hipermercados','Anabela Domingues','Sales Representative','Av. In?s de Castro, 414','Sao Paulo','SP','05634-030','Brazil','(11) 555-2167','(11) 555-2168'),

('TRAIH','Trail\'s Head Gourmet Provisioners','Helvetius Nagy','Sales Associate','722 DaVinci Blvd.','Kirkland','WA','98034','USA','(206) 555-8257','(206) 555-2174'),

('VAFFE','Vaffeljernet','Palle Ibsen','Sales Manager','Smagsloget 45','?rhus','','8200','Denmark','86 21 32 43','86 22 33 44'),

('VICTE','Victuailles en stock','Mary Saveley','Sales Agent','2, rue du Commerce','Lyon','','69004','France','78.32.54.86','78.32.54.87'),

('VINET','Vins et alcools Chevalier','Paul Henriot','Accounting Manager','59 rue de l\'Abbaye','Reims','','51100','France','26.47.15.10','26.47.15.11'),

('WANDK','Die Wandernde Kuh','Rita M?ller','Sales Representative','Adenauerallee 900','Stuttgart','','70563','Germany','0711-020361','0711-035428'),

('WARTH','Wartian Herkku','Pirkko Koskitalo','Accounting Manager','Torikatu 38','Oulu','','90110','Finland','981-443655','981-443655'),

('WELLI','Wellington Importadora','Paula Parente','Sales Manager','Rua do Mercado, 12','Resende','SP','08737-363','Brazil','(14) 555-8122',''),

('WHITC','White Clover Markets','Karl Jablonski','Owner','305 - 14th Ave. S. Suite 3B','Seattle','WA','98128','USA','(206) 555-4112','(206) 555-4115'),

('WILMK','Wilman Kala','Matti Karttunen','Owner/Marketing Assistant','Keskuskatu 45','Helsinki','','21240','Finland','90-224 8858','90-224 8858'),

('WOLZA','Wolski Zajazd','Zbyszek Piestrzeniewicz','Owner','ul. Filtrowa 68','Warszawa','','01-012','Poland','(26) 642-7012','(26) 642-7012');

-- Definition of table `EmployeeTerritories`

DROP TABLE IF EXISTS `EmployeeTerritories`;

CREATE TABLE `EmployeeTerritories` (

`EmployeeID` int(11) NOT NULL,

`TerritoryID` varchar(20) NOT NULL,

PRIMARY KEY (`EmployeeID`,`TerritoryID`),

KEY `FK_EmployeeTerritories_Territories` (`TerritoryID`),

CONSTRAINT `FK_EmployeeTerritories_Employees` FOREIGN KEY (`EmployeeID`) REFERENCES `Employees` (`EmployeeID`) ON DELETE NO ACTION ON UPDATE NO ACTION,

CONSTRAINT `FK_EmployeeTerritories_Territories` FOREIGN KEY (`TerritoryID`) REFERENCES `Territories` (`TerritoryID`) ON DELETE NO ACTION ON UPDATE NO ACTION

) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- Dumping data for table `EmployeeTerritories`

INSERT INTO `EmployeeTerritories` (`EmployeeID`,`TerritoryID`) VALUES

(5,'10019'),

(5,'10038'),

(5,'11747'),

(5,'14450'),

(2,'1581'),

(2,'1730'),

(2,'1833'),

(8,'19428'),

(1,'19713'),

(4,'20852'),

(2,'2116'),

(2,'2139'),

(2,'2184'),

(4,'27403'),

(4,'27511'),

(5,'2903'),

(3,'30346'),

(9,'3049'),

(3,'31406'),

(3,'32859'),

(3,'33607'),

(9,'3801'),

(2,'40222'),

(8,'44122'),

(8,'45839'),

(9,'48075'),

(9,'48084'),

(9,'48304'),

(8,'53404'),

(9,'55113'),

(9,'55439'),

(7,'60179'),

(7,'60601'),

(1,'6897'),

(5,'7960'),

(7,'80202'),

(7,'80909'),

(6,'85014'),

(6,'85251'),

(5,'8837'),

(7,'90405'),

(7,'94025'),

(7,'94105'),

(7,'95008'),

(7,'95054'),

(7,'95060'),

(6,'98004'),

(6,'98052'),

(6,'98104');

-- Definition of table `Employees`

DROP TABLE IF EXISTS `Employees`;

CREATE TABLE `Employees` (

`EmployeeID` int(11) NOT NULL AUTO_INCREMENT,

`LastName` varchar(20) NOT NULL,

`FirstName` varchar(10) NOT NULL,

`Title` varchar(30) DEFAULT NULL,

`TitleOfCourtesy` varchar(25) DEFAULT NULL,

`BirthDate` datetime DEFAULT NULL,

`HireDate` datetime DEFAULT NULL,

`Address` varchar(60) DEFAULT NULL,

`City` varchar(15) DEFAULT NULL,

`Region` varchar(15) DEFAULT NULL,

`PostalCode` varchar(10) DEFAULT NULL,

`Country` varchar(15) DEFAULT NULL,

`HomePhone` varchar(24) DEFAULT NULL,

`Extension` varchar(4) DEFAULT NULL,

`Photo` longblob,

`Notes` longtext,

`ReportsTo` int(11) DEFAULT NULL,

`PhotoPath` varchar(255) DEFAULT NULL,

PRIMARY KEY (`EmployeeID`),

KEY `Employees_LastName` (`LastName`),

KEY `Employees_PostalCode` (`PostalCode`),

KEY `FK_Employees_Employees` (`ReportsTo`),

CONSTRAINT `FK_Employees_Employees` FOREIGN KEY (`ReportsTo`) REFERENCES `Employees` (`EmployeeID`) ON DELETE NO ACTION ON UPDATE NO ACTION

) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8;

-- Dumping data for table `Employees`

INSERT INTO `Employees` (`EmployeeID`,`LastName`,`FirstName`,`Title`,`TitleOfCourtesy`,`BirthDate`,`HireDate`,`Address`,`City`,`Region`,`PostalCode`,`Country`,`HomePhone`,`Extension`,`Photo`,`Notes`,`ReportsTo`,`PhotoPath`) VALUES

(1,'Davolio','Nancy','Sales Representative','Ms.','1948-12-08 00:00:00','1992-05-01 00:00:00','507 - 20th Ave. E.\r\nApt. 2A','Seattle','WA','98122','USA','(206) 555-9857','5467',NULL,'Education includes a BA in psychology from Colorado State University in 1970. She also completed \"The Art of the Cold Call.\" Nancy is a member of Toastmasters International.',2,'http://accweb/emmployees/davolio.bmp'),

(2,'Fuller','Andrew','Vice President, Sales','Dr.','1952-02-19 00:00:00','1992-08-14 00:00:00','908 W. Capital Way','Tacoma','WA','98401','USA','(206) 555-9482','3457',NULL,'Andrew received his BTS commercial in 1974 and a Ph.D. in international marketing from the University of Dallas in 1981. He is fluent in French and Italian and reads German. He joined the company as a sales representative, was promoted to sales manager in January 1992 and to vice president of sales in March 1993. Andrew is a member of the Sales Management Roundtable, the Seattle Chamber of Commerce, and the Pacific Rim Importers Association.',NULL,'http://accweb/emmployees/fuller.bmp'),

(3,'Leverling','Janet','Sales Representative','Ms.','1963-08-30 00:00:00','1992-04-01 00:00:00','722 Moss Bay Blvd.','Kirkland','WA','98033','USA','(206) 555-3412','3355',NULL,'Janet has a BS degree in chemistry from Boston College (1984). She has also completed a certificate program in food retailing management. Janet was hired as a sales associate in 1991 and promoted to sales representative in February 1992.',2,'http://accweb/emmployees/leverling.bmp'),

(4,'Peacock','Margaret','Sales Representative','Mrs.','1937-09-19 00:00:00','1993-05-03 00:00:00','4110 Old Redmond Rd.','Redmond','WA','98052','USA','(206) 555-8122','5176',NULL,'Margaret holds a BA in English literature from Concordia College (1958) and an MA from the American Institute of Culinary Arts (1966). She was assigned to the London office temporarily from July through November 1992.',2,'http://accweb/emmployees/peacock.bmp'),

(5,'Buchanan','Steven','Sales Manager','Mr.','1955-03-04 00:00:00','1993-10-17 00:00:00','14 Garrett Hill','London','','SW1 8JR','UK','(71) 555-4848','3453',NULL,'Steven Buchanan graduated from St. Andrews University, Scotland, with a BSC degree in 1976. Upon joining the company as a sales representative in 1992, he spent 6 months in an orientation program at the Seattle office and then returned to his permanent post in London. He was promoted to sales manager in March 1993. Mr. Buchanan has completed the courses \"Successful Telemarketing\" and \"International Sales Management.\" He is fluent in French.',2,'http://accweb/emmployees/buchanan.bmp'),

(6,'Suyama','Michael','Sales Representative','Mr.','1963-07-02 00:00:00','1993-10-17 00:00:00','Coventry House\r\nMiner Rd.','London','','EC2 7JR','UK','(71) 555-7773','428',NULL,'Michael is a graduate of Sussex University (MA, economics, 1983) and the University of California at Los Angeles (MBA, marketing, 1986). He has also taken the courses \"Multi-Cultural Selling\" and \"Time Management for the Sales Professional.\" He is fluent in Japanese and can read and write French, Portuguese, and Spanish.',5,'http://accweb/emmployees/davolio.bmp'),

(7,'King','Robert','Sales Representative','Mr.','1960-05-29 00:00:00','1994-01-02 00:00:00','Edgeham Hollow\r\nWinchester Way','London','','RG1 9SP','UK','(71) 555-5598','465',NULL,'Robert King served in the Peace Corps and traveled extensively before completing his degree in English at the University of Michigan in 1992, the year he joined the company. After completing a course entitled \"Selling in Europe,\" he was transferred to the London office in March 1993.',5,'http://accweb/emmployees/davolio.bmp'),

(8,'Callahan','Laura','Inside Sales Coordinator','Ms.','1958-01-09 00:00:00','1994-03-05 00:00:00','4726 - 11th Ave. N.E.','Seattle','WA','98105','USA','(206) 555-1189','2344',NULL,'Laura received a BA in psychology from the University of Washington. She has also completed a course in business French. She reads and writes French.',2,'http://accweb/emmployees/davolio.bmp'),

(9,'Dodsworth','Anne','Sales Representative','Ms.','1966-01-27 00:00:00','1994-11-15 00:00:00','7 Houndstooth Rd.','London','','WG2 7LT','UK','(71) 555-4444','452',NULL,'Anne has a BA degree in English from St. Lawrence College. She is fluent in French and German.',5,'http://accweb/emmployees/davolio.bmp');

-- Definition of table `OrderDetails`

DROP TABLE IF EXISTS `OrderDetails`;

CREATE TABLE `OrderDetails` (

`OrderID` int(11) NOT NULL,

`ProductID` int(11) NOT NULL,

`UnitPrice` double NOT NULL DEFAULT '0',

`Quantity` smallint(6) NOT NULL DEFAULT '0',

`Discount` double NOT NULL DEFAULT '0',

PRIMARY KEY (`OrderID`,`ProductID`),

KEY `OrderDetails_OrderID` (`OrderID`),

KEY `OrderDetails_OrdersOrder_Details` (`OrderID`),

KEY `OrderDetails_ProductID` (`ProductID`),

KEY `OrderDetails_ProductsOrder_Details` (`ProductID`),

CONSTRAINT `FK_Order_Details_Orders` FOREIGN KEY (`OrderID`) REFERENCES `Orders` (`OrderID`) ON DELETE NO ACTION ON UPDATE NO ACTION,

CONSTRAINT `FK_Order_Details_Products` FOREIGN KEY (`ProductID`) REFERENCES `Products` (`ProductID`) ON DELETE NO ACTION ON UPDATE NO ACTION

) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- Dumping data for table `OrderDetails`

INSERT INTO `OrderDetails` (`OrderID`,`ProductID`,`UnitPrice`,`Quantity`,`Discount`) VALUES

(10248,11,14,12,0),

(10248,42,9.8,10,0),

(10248,72,34.8,5,0),

(10249,14,18.6,9,0),

(10249,51,42.4,40,0),

(10250,41,7.7,10,0),

(10250,51,42.4,35,0.15000001),

(10250,65,16.8,15,0.15000001),

(10251,22,16.8,6,0.05),

(10251,57,15.6,15,0.05),

(10251,65,16.8,20,0),

(10252,20,64.8,40,0.05),

(10252,33,2,25,0.05),

(10252,60,27.2,40,0),

(10253,31,10,20,0),

(10253,39,14.4,42,0),

(10253,49,16,40,0),

(10254,24,3.6,15,0.15000001),

(10254,55,19.2,21,0.15000001),

(10254,74,8,21,0),

(10255,2,15.2,20,0),

(10255,16,13.9,35,0),

(10255,36,15.2,25,0),

(10255,59,44,30,0),

(10256,53,26.2,15,0),

(10256,77,10.4,12,0),

(10257,27,35.1,25,0),

(10257,39,14.4,6,0),

(10257,77,10.4,15,0),

(10258,2,15.2,50,0.2),

(10258,5,17,65,0.2),

(10258,32,25.6,6,0.2),

(10259,21,8,10,0),

(10259,37,20.8,1,0),

(10260,41,7.7,16,0.25),

(10260,57,15.6,50,0),

(10260,62,39.4,15,0.25),

(10260,70,12,21,0.25),

(10261,21,8,20,0),

(10261,35,14.4,20,0),

(10262,5,17,12,0.2),

(10262,7,24,15,0),

(10262,56,30.4,2,0),

(10263,16,13.9,60,0.25),

(10263,24,3.6,28,0),

(10263,30,20.7,60,0.25),

(10263,74,8,36,0.25),

(10264,2,15.2,35,0),

(10264,41,7.7,25,0.15000001),

(10265,17,31.2,30,0),

(10265,70,12,20,0),

(10266,12,30.4,12,0.05),

(10267,40,14.7,50,0),

(10267,59,44,70,0.15000001),

(10267,76,14.4,15,0.15000001),

(10268,29,99,10,0),

(10268,72,27.8,4,0),

(10269,33,2,60,0.05),

(10269,72,27.8,20,0.05),

(10270,36,15.2,30,0),

(10270,43,36.8,25,0),

(10271,33,2,24,0),

(10272,20,64.8,6,0),

(10272,31,10,40,0),

(10272,72,27.8,24,0),

(10273,10,24.8,24,0.05),

(10273,31,10,15,0.05),

(10273,33,2,20,0),

(10273,40,14.7,60,0.05),

(10273,76,14.4,33,0.05),

(10274,71,17.2,20,0),

(10274,72,27.8,7,0),

(10275,24,3.6,12,0.05),

(10275,59,44,6,0.05),

(10276,10,24.8,15,0),

(10276,13,4.8,10,0),

(10277,28,36.4,20,0),

(10277,62,39.4,12,0),

(10278,44,15.5,16,0),

(10278,59,44,15,0),

(10278,63,35.1,8,0),

(10278,73,12,25,0),

(10279,17,31.2,15,0.25),

(10280,24,3.6,12,0),

(10280,55,19.2,20,0),

(10280,75,6.2,30,0),

(10281,19,7.3,1,0),

(10281,24,3.6,6,0),

(10281,35,14.4,4,0),

(10282,30,20.7,6,0),

(10282,57,15.6,2,0),

(10283,15,12.4,20,0),

(10283,19,7.3,18,0),

(10283,60,27.2,35,0),

(10283,72,27.8,3,0),

(10284,27,35.1,15,0.25),

(10284,44,15.5,21,0),

(10284,60,27.2,20,0.25),

(10284,67,11.2,5,0.25),

(10285,1,14.4,45,0.2),

(10285,40,14.7,40,0.2),

(10285,53,26.2,36,0.2),

(10286,35,14.4,100,0),

(10286,62,39.4,40,0),

(10287,16,13.9,40,0.15000001),

(10287,34,11.2,20,0),

(10287,46,9.6,15,0.15000001),

(10288,54,5.9,10,0.1),

(10288,68,10,3,0.1),

(10289,3,8,30,0),

(10289,64,26.6,9,0),

(10290,5,17,20,0),

(10290,29,99,15,0),

(10290,49,16,15,0),

(10290,77,10.4,10,0),

(10291,13,4.8,20,0.1),

(10291,44,15.5,24,0.1),

(10291,51,42.4,2,0.1),

(10292,20,64.8,20,0),

(10293,18,50,12,0),

(10293,24,3.6,10,0),

(10293,63,35.1,5,0),

(10293,75,6.2,6,0),

(10294,1,14.4,18,0),

(10294,17,31.2,15,0),

(10294,43,36.8,15,0),

(10294,60,27.2,21,0),

(10294,75,6.2,6,0),

(10295,56,30.4,4,0),

(10296,11,16.8,12,0),

(10296,16,13.9,30,0),

(10296,69,28.8,15,0),

(10297,39,14.4,60,0),

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(11077,77,13,2,0);

-- Definition of table `Orders`

DROP TABLE IF EXISTS `Orders`;

CREATE TABLE `Orders` (

`OrderID` int(11) NOT NULL AUTO_INCREMENT,

`CustomerID` char(5) DEFAULT NULL,

`EmployeeID` int(11) DEFAULT NULL,

`OrderDate` datetime DEFAULT NULL,

`RequiredDate` datetime DEFAULT NULL,

`ShippedDate` datetime DEFAULT NULL,

`ShipVia` int(11) DEFAULT NULL,

`Freight` double DEFAULT '0',

`ShipName` varchar(40) DEFAULT NULL,

`ShipAddress` varchar(60) DEFAULT NULL,

`ShipCity` varchar(15) DEFAULT NULL,

`ShipRegion` varchar(15) DEFAULT NULL,

`ShipPostalCode` varchar(10) DEFAULT NULL,

`ShipCountry` varchar(15) DEFAULT NULL,

PRIMARY KEY (`OrderID`),

KEY `Orders_CustomerID` (`CustomerID`),

KEY `Orders_CustomersOrders` (`CustomerID`),

KEY `Orders_EmployeeID` (`EmployeeID`),

KEY `Orders_EmployeesOrders` (`EmployeeID`),

KEY `Orders_OrderDate` (`OrderDate`),

KEY `Orders_ShippedDate` (`ShippedDate`),

KEY `Orders_ShippersOrders` (`ShipVia`),

KEY `Orders_ShipPostalCode` (`ShipPostalCode`),

KEY `FK_Orders_Customers` (`CustomerID`),

CONSTRAINT `FK_Orders_Customers` FOREIGN KEY (`CustomerID`) REFERENCES `Customers` (`CustomerID`) ON DELETE NO ACTION ON UPDATE NO ACTION,

CONSTRAINT `FK_Orders_Employees` FOREIGN KEY (`EmployeeID`) REFERENCES `Employees` (`EmployeeID`) ON DELETE NO ACTION ON UPDATE NO ACTION,

CONSTRAINT `FK_Orders_Shippers` FOREIGN KEY (`ShipVia`) REFERENCES `Shippers` (`ShipperID`) ON DELETE NO ACTION ON UPDATE NO ACTION

) ENGINE=InnoDB AUTO_INCREMENT=11078 DEFAULT CHARSET=utf8;

-- Dumping data for table `Orders`

INSERT INTO `Orders` (`OrderID`,`CustomerID`,`EmployeeID`,`OrderDate`,`RequiredDate`,`ShippedDate`,`ShipVia`,`Freight`,`ShipName`,`ShipAddress`,`ShipCity`,`ShipRegion`,`ShipPostalCode`,`ShipCountry`) VALUES

(10248,'VINET',5,'1996-07-04 00:00:00','1996-08-01 00:00:00','1996-07-16 00:00:00',3,32.38,'Vins et alcools Chevalier','59 rue de l\'Abbaye','Reims','','51100','France'),

(10249,'TOMSP',6,'1996-07-05 00:00:00','1996-08-16 00:00:00','1996-07-10 00:00:00',1,11.61,'Toms Spezialit ten','Luisenstr. 48','M nster','','44087','Germany'),

(10250,'HANAR',4,'1996-07-08 00:00:00','1996-08-05 00:00:00','1996-07-12 00:00:00',2,65.83,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10251,'VICTE',3,'1996-07-08 00:00:00','1996-08-05 00:00:00','1996-07-15 00:00:00',1,41.34,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10252,'SUPRD',4,'1996-07-09 00:00:00','1996-08-06 00:00:00','1996-07-11 00:00:00',2,51.3,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10253,'HANAR',3,'1996-07-10 00:00:00','1996-07-24 00:00:00','1996-07-16 00:00:00',2,58.17,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10254,'CHOPS',5,'1996-07-11 00:00:00','1996-08-08 00:00:00','1996-07-23 00:00:00',2,22.98,'Chop-suey Chinese','Hauptstr. 31','Bern','','3012','Switzerland'),

(10255,'RICSU',9,'1996-07-12 00:00:00','1996-08-09 00:00:00','1996-07-15 00:00:00',3,148.33,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(10256,'WELLI',3,'1996-07-15 00:00:00','1996-08-12 00:00:00','1996-07-17 00:00:00',2,13.97,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10257,'HILAA',4,'1996-07-16 00:00:00','1996-08-13 00:00:00','1996-07-22 00:00:00',3,81.91,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10258,'ERNSH',1,'1996-07-17 00:00:00','1996-08-14 00:00:00','1996-07-23 00:00:00',1,140.51,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10259,'CENTC',4,'1996-07-18 00:00:00','1996-08-15 00:00:00','1996-07-25 00:00:00',3,3.25,'Centro comercial Moctezuma','Sierras de Granada 9993','M xico D.F.','','5022','Mexico'),

(10260,'OTTIK',4,'1996-07-19 00:00:00','1996-08-16 00:00:00','1996-07-29 00:00:00',1,55.09,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(10261,'QUEDE',4,'1996-07-19 00:00:00','1996-08-16 00:00:00','1996-07-30 00:00:00',2,3.05,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10262,'RATTC',8,'1996-07-22 00:00:00','1996-08-19 00:00:00','1996-07-25 00:00:00',3,48.29,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10263,'ERNSH',9,'1996-07-23 00:00:00','1996-08-20 00:00:00','1996-07-31 00:00:00',3,146.06,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10264,'FOLKO',6,'1996-07-24 00:00:00','1996-08-21 00:00:00','1996-08-23 00:00:00',3,3.67,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10265,'BLONP',2,'1996-07-25 00:00:00','1996-08-22 00:00:00','1996-08-12 00:00:00',1,55.28,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10266,'WARTH',3,'1996-07-26 00:00:00','1996-09-06 00:00:00','1996-07-31 00:00:00',3,25.73,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10267,'FRANK',4,'1996-07-29 00:00:00','1996-08-26 00:00:00','1996-08-06 00:00:00',1,208.58,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10268,'GROSR',8,'1996-07-30 00:00:00','1996-08-27 00:00:00','1996-08-02 00:00:00',3,66.29,'GROSELLA-Restaurante','5 Ave. Los Palos Grandes','Caracas','DF','1081','Venezuela'),

(10269,'WHITC',5,'1996-07-31 00:00:00','1996-08-14 00:00:00','1996-08-09 00:00:00',1,4.56,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10270,'WARTH',1,'1996-08-01 00:00:00','1996-08-29 00:00:00','1996-08-02 00:00:00',1,136.54,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10271,'SPLIR',6,'1996-08-01 00:00:00','1996-08-29 00:00:00','1996-08-30 00:00:00',2,4.54,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10272,'RATTC',6,'1996-08-02 00:00:00','1996-08-30 00:00:00','1996-08-06 00:00:00',2,98.03,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10273,'QUICK',3,'1996-08-05 00:00:00','1996-09-02 00:00:00','1996-08-12 00:00:00',3,76.07,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10274,'VINET',6,'1996-08-06 00:00:00','1996-09-03 00:00:00','1996-08-16 00:00:00',1,6.01,'Vins et alcools Chevalier','59 rue de l\'Abbaye','Reims','','51100','France'),

(10275,'MAGAA',1,'1996-08-07 00:00:00','1996-09-04 00:00:00','1996-08-09 00:00:00',1,26.93,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10276,'TORTU',8,'1996-08-08 00:00:00','1996-08-22 00:00:00','1996-08-14 00:00:00',3,13.84,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10277,'MORGK',2,'1996-08-09 00:00:00','1996-09-06 00:00:00','1996-08-13 00:00:00',3,125.77,'Morgenstern Gesundkost','Heerstr. 22','Leipzig','','4179','Germany'),

(10278,'BERGS',8,'1996-08-12 00:00:00','1996-09-09 00:00:00','1996-08-16 00:00:00',2,92.69,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10279,'LEHMS',8,'1996-08-13 00:00:00','1996-09-10 00:00:00','1996-08-16 00:00:00',2,25.83,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10280,'BERGS',2,'1996-08-14 00:00:00','1996-09-11 00:00:00','1996-09-12 00:00:00',1,8.98,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10281,'ROMEY',4,'1996-08-14 00:00:00','1996-08-28 00:00:00','1996-08-21 00:00:00',1,2.94,'Romero y tomillo','Gran V a, 1','Madrid','','28001','Spain'),

(10282,'ROMEY',4,'1996-08-15 00:00:00','1996-09-12 00:00:00','1996-08-21 00:00:00',1,12.69,'Romero y tomillo','Gran V a, 1','Madrid','','28001','Spain'),

(10283,'LILAS',3,'1996-08-16 00:00:00','1996-09-13 00:00:00','1996-08-23 00:00:00',3,84.81,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10284,'LEHMS',4,'1996-08-19 00:00:00','1996-09-16 00:00:00','1996-08-27 00:00:00',1,76.56,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10285,'QUICK',1,'1996-08-20 00:00:00','1996-09-17 00:00:00','1996-08-26 00:00:00',2,76.83,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10286,'QUICK',8,'1996-08-21 00:00:00','1996-09-18 00:00:00','1996-08-30 00:00:00',3,229.24,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10287,'RICAR',8,'1996-08-22 00:00:00','1996-09-19 00:00:00','1996-08-28 00:00:00',3,12.76,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10288,'REGGC',4,'1996-08-23 00:00:00','1996-09-20 00:00:00','1996-09-03 00:00:00',1,7.45,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10289,'BSBEV',7,'1996-08-26 00:00:00','1996-09-23 00:00:00','1996-08-28 00:00:00',3,22.77,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10290,'COMMI',8,'1996-08-27 00:00:00','1996-09-24 00:00:00','1996-09-03 00:00:00',1,79.7,'Com rcio Mineiro','Av. dos Lus adas, 23','Sao Paulo','SP','05432-043','Brazil'),

(10291,'QUEDE',6,'1996-08-27 00:00:00','1996-09-24 00:00:00','1996-09-04 00:00:00',2,6.4,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10292,'TRADH',1,'1996-08-28 00:00:00','1996-09-25 00:00:00','1996-09-02 00:00:00',2,1.35,'Tradi ao Hipermercados','Av. In s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'),

(10293,'TORTU',1,'1996-08-29 00:00:00','1996-09-26 00:00:00','1996-09-11 00:00:00',3,21.18,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10294,'RATTC',4,'1996-08-30 00:00:00','1996-09-27 00:00:00','1996-09-05 00:00:00',2,147.26,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10295,'VINET',2,'1996-09-02 00:00:00','1996-09-30 00:00:00','1996-09-10 00:00:00',2,1.15,'Vins et alcools Chevalier','59 rue de l\'Abbaye','Reims','','51100','France'),

(10296,'LILAS',6,'1996-09-03 00:00:00','1996-10-01 00:00:00','1996-09-11 00:00:00',1,0.12,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10297,'BLONP',5,'1996-09-04 00:00:00','1996-10-16 00:00:00','1996-09-10 00:00:00',2,5.74,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10298,'HUNGO',6,'1996-09-05 00:00:00','1996-10-03 00:00:00','1996-09-11 00:00:00',2,168.22,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10299,'RICAR',4,'1996-09-06 00:00:00','1996-10-04 00:00:00','1996-09-13 00:00:00',2,29.76,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10300,'MAGAA',2,'1996-09-09 00:00:00','1996-10-07 00:00:00','1996-09-18 00:00:00',2,17.68,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10301,'WANDK',8,'1996-09-09 00:00:00','1996-10-07 00:00:00','1996-09-17 00:00:00',2,45.08,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10302,'SUPRD',4,'1996-09-10 00:00:00','1996-10-08 00:00:00','1996-10-09 00:00:00',2,6.27,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10303,'GODOS',7,'1996-09-11 00:00:00','1996-10-09 00:00:00','1996-09-18 00:00:00',2,107.83,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(10304,'TORTU',1,'1996-09-12 00:00:00','1996-10-10 00:00:00','1996-09-17 00:00:00',2,63.79,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10305,'OLDWO',8,'1996-09-13 00:00:00','1996-10-11 00:00:00','1996-10-09 00:00:00',3,257.62,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10306,'ROMEY',1,'1996-09-16 00:00:00','1996-10-14 00:00:00','1996-09-23 00:00:00',3,7.56,'Romero y tomillo','Gran V a, 1','Madrid','','28001','Spain'),

(10307,'LONEP',2,'1996-09-17 00:00:00','1996-10-15 00:00:00','1996-09-25 00:00:00',2,0.56,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'),

(10308,'ANATR',7,'1996-09-18 00:00:00','1996-10-16 00:00:00','1996-09-24 00:00:00',3,1.61,'Ana Trujillo Emparedados y helados','Avda. de la Constituci n 2222','M xico D.F.','','5021','Mexico'),

(10309,'HUNGO',3,'1996-09-19 00:00:00','1996-10-17 00:00:00','1996-10-23 00:00:00',1,47.3,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10310,'THEBI',8,'1996-09-20 00:00:00','1996-10-18 00:00:00','1996-09-27 00:00:00',2,17.52,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'),

(10311,'DUMON',1,'1996-09-20 00:00:00','1996-10-04 00:00:00','1996-09-26 00:00:00',3,24.69,'Du monde entier','67, rue des Cinquante Otages','Nantes','','44000','France'),

(10312,'WANDK',2,'1996-09-23 00:00:00','1996-10-21 00:00:00','1996-10-03 00:00:00',2,40.26,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10313,'QUICK',2,'1996-09-24 00:00:00','1996-10-22 00:00:00','1996-10-04 00:00:00',2,1.96,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10314,'RATTC',1,'1996-09-25 00:00:00','1996-10-23 00:00:00','1996-10-04 00:00:00',2,74.16,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10315,'ISLAT',4,'1996-09-26 00:00:00','1996-10-24 00:00:00','1996-10-03 00:00:00',2,41.76,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10316,'RATTC',1,'1996-09-27 00:00:00','1996-10-25 00:00:00','1996-10-08 00:00:00',3,150.15,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10317,'LONEP',6,'1996-09-30 00:00:00','1996-10-28 00:00:00','1996-10-10 00:00:00',1,12.69,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'),

(10318,'ISLAT',8,'1996-10-01 00:00:00','1996-10-29 00:00:00','1996-10-04 00:00:00',2,4.73,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10319,'TORTU',7,'1996-10-02 00:00:00','1996-10-30 00:00:00','1996-10-11 00:00:00',3,64.5,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10320,'WARTH',5,'1996-10-03 00:00:00','1996-10-17 00:00:00','1996-10-18 00:00:00',3,34.57,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10321,'ISLAT',3,'1996-10-03 00:00:00','1996-10-31 00:00:00','1996-10-11 00:00:00',2,3.43,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10322,'PERIC',7,'1996-10-04 00:00:00','1996-11-01 00:00:00','1996-10-23 00:00:00',3,0.4,'Pericles Comidas cl sicas','Calle Dr. Jorge Cash 321','M xico D.F.','','5033','Mexico'),

(10323,'KOENE',4,'1996-10-07 00:00:00','1996-11-04 00:00:00','1996-10-14 00:00:00',1,4.88,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10324,'SAVEA',9,'1996-10-08 00:00:00','1996-11-05 00:00:00','1996-10-10 00:00:00',1,214.27,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10325,'KOENE',1,'1996-10-09 00:00:00','1996-10-23 00:00:00','1996-10-14 00:00:00',3,64.86,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10326,'BOLID',4,'1996-10-10 00:00:00','1996-11-07 00:00:00','1996-10-14 00:00:00',2,77.92,'B lido Comidas preparadas','C/ Araquil, 67','Madrid','','28023','Spain'),

(10327,'FOLKO',2,'1996-10-11 00:00:00','1996-11-08 00:00:00','1996-10-14 00:00:00',1,63.36,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10328,'FURIB',4,'1996-10-14 00:00:00','1996-11-11 00:00:00','1996-10-17 00:00:00',3,87.03,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa','','1675','Portugal'),

(10329,'SPLIR',4,'1996-10-15 00:00:00','1996-11-26 00:00:00','1996-10-23 00:00:00',2,191.67,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10330,'LILAS',3,'1996-10-16 00:00:00','1996-11-13 00:00:00','1996-10-28 00:00:00',1,12.75,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10331,'BONAP',9,'1996-10-16 00:00:00','1996-11-27 00:00:00','1996-10-21 00:00:00',1,10.19,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10332,'MEREP',3,'1996-10-17 00:00:00','1996-11-28 00:00:00','1996-10-21 00:00:00',2,52.84,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10333,'WARTH',5,'1996-10-18 00:00:00','1996-11-15 00:00:00','1996-10-25 00:00:00',3,0.59,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10334,'VICTE',8,'1996-10-21 00:00:00','1996-11-18 00:00:00','1996-10-28 00:00:00',2,8.56,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10335,'HUNGO',7,'1996-10-22 00:00:00','1996-11-19 00:00:00','1996-10-24 00:00:00',2,42.11,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10336,'PRINI',7,'1996-10-23 00:00:00','1996-11-20 00:00:00','1996-10-25 00:00:00',2,15.51,'Princesa Isabel Vinhos','Estrada da sa de n. 58','Lisboa','','1756','Portugal'),

(10337,'FRANK',4,'1996-10-24 00:00:00','1996-11-21 00:00:00','1996-10-29 00:00:00',3,108.26,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10338,'OLDWO',4,'1996-10-25 00:00:00','1996-11-22 00:00:00','1996-10-29 00:00:00',3,84.21,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10339,'MEREP',2,'1996-10-28 00:00:00','1996-11-25 00:00:00','1996-11-04 00:00:00',2,15.66,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10340,'BONAP',1,'1996-10-29 00:00:00','1996-11-26 00:00:00','1996-11-08 00:00:00',3,166.31,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10341,'SIMOB',7,'1996-10-29 00:00:00','1996-11-26 00:00:00','1996-11-05 00:00:00',3,26.78,'Simons bistro','Vinb ltet 34','Kobenhavn','','1734','Denmark'),

(10342,'FRANK',4,'1996-10-30 00:00:00','1996-11-13 00:00:00','1996-11-04 00:00:00',2,54.83,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10343,'LEHMS',4,'1996-10-31 00:00:00','1996-11-28 00:00:00','1996-11-06 00:00:00',1,110.37,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10344,'WHITC',4,'1996-11-01 00:00:00','1996-11-29 00:00:00','1996-11-05 00:00:00',2,23.29,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10345,'QUICK',2,'1996-11-04 00:00:00','1996-12-02 00:00:00','1996-11-11 00:00:00',2,249.06,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10346,'RATTC',3,'1996-11-05 00:00:00','1996-12-17 00:00:00','1996-11-08 00:00:00',3,142.08,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10347,'FAMIA',4,'1996-11-06 00:00:00','1996-12-04 00:00:00','1996-11-08 00:00:00',3,3.1,'Familia Arquibaldo','Rua Or s, 92','Sao Paulo','SP','05442-030','Brazil'),

(10348,'WANDK',4,'1996-11-07 00:00:00','1996-12-05 00:00:00','1996-11-15 00:00:00',2,0.78,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10349,'SPLIR',7,'1996-11-08 00:00:00','1996-12-06 00:00:00','1996-11-15 00:00:00',1,8.63,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10350,'LAMAI',6,'1996-11-11 00:00:00','1996-12-09 00:00:00','1996-12-03 00:00:00',2,64.19,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10351,'ERNSH',1,'1996-11-11 00:00:00','1996-12-09 00:00:00','1996-11-20 00:00:00',1,162.33,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10352,'FURIB',3,'1996-11-12 00:00:00','1996-11-26 00:00:00','1996-11-18 00:00:00',3,1.3,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa','','1675','Portugal'),

(10353,'PICCO',7,'1996-11-13 00:00:00','1996-12-11 00:00:00','1996-11-25 00:00:00',3,360.63,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10354,'PERIC',8,'1996-11-14 00:00:00','1996-12-12 00:00:00','1996-11-20 00:00:00',3,53.8,'Pericles Comidas cl sicas','Calle Dr. Jorge Cash 321','M xico D.F.','','5033','Mexico'),

(10355,'AROUT',6,'1996-11-15 00:00:00','1996-12-13 00:00:00','1996-11-20 00:00:00',1,41.95,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10356,'WANDK',6,'1996-11-18 00:00:00','1996-12-16 00:00:00','1996-11-27 00:00:00',2,36.71,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10357,'LILAS',1,'1996-11-19 00:00:00','1996-12-17 00:00:00','1996-12-02 00:00:00',3,34.88,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10358,'LAMAI',5,'1996-11-20 00:00:00','1996-12-18 00:00:00','1996-11-27 00:00:00',1,19.64,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10359,'SEVES',5,'1996-11-21 00:00:00','1996-12-19 00:00:00','1996-11-26 00:00:00',3,288.43,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10360,'BLONP',4,'1996-11-22 00:00:00','1996-12-20 00:00:00','1996-12-02 00:00:00',3,131.7,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10361,'QUICK',1,'1996-11-22 00:00:00','1996-12-20 00:00:00','1996-12-03 00:00:00',2,183.17,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10362,'BONAP',3,'1996-11-25 00:00:00','1996-12-23 00:00:00','1996-11-28 00:00:00',1,96.04,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10363,'DRACD',4,'1996-11-26 00:00:00','1996-12-24 00:00:00','1996-12-04 00:00:00',3,30.54,'Drachenblut Delikatessen','Walserweg 21','Aachen','','52066','Germany'),

(10364,'EASTC',1,'1996-11-26 00:00:00','1997-01-07 00:00:00','1996-12-04 00:00:00',1,71.97,'Eastern Connection','35 King George','London','','WX3 6FW','UK'),

(10365,'ANTON',3,'1996-11-27 00:00:00','1996-12-25 00:00:00','1996-12-02 00:00:00',2,22,'Antonio Moreno Taquer a','Mataderos 2312','M xico D.F.','','5023','Mexico'),

(10366,'GALED',8,'1996-11-28 00:00:00','1997-01-09 00:00:00','1996-12-30 00:00:00',2,10.14,'Galer a del gastron mo','Rambla de Catalu a, 23','Barcelona','','8022','Spain'),

(10367,'VAFFE',7,'1996-11-28 00:00:00','1996-12-26 00:00:00','1996-12-02 00:00:00',3,13.55,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10368,'ERNSH',2,'1996-11-29 00:00:00','1996-12-27 00:00:00','1996-12-02 00:00:00',2,101.95,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10369,'SPLIR',8,'1996-12-02 00:00:00','1996-12-30 00:00:00','1996-12-09 00:00:00',2,195.68,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10370,'CHOPS',6,'1996-12-03 00:00:00','1996-12-31 00:00:00','1996-12-27 00:00:00',2,1.17,'Chop-suey Chinese','Hauptstr. 31','Bern','','3012','Switzerland'),

(10371,'LAMAI',1,'1996-12-03 00:00:00','1996-12-31 00:00:00','1996-12-24 00:00:00',1,0.45,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10372,'QUEEN',5,'1996-12-04 00:00:00','1997-01-01 00:00:00','1996-12-09 00:00:00',2,890.78,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10373,'HUNGO',4,'1996-12-05 00:00:00','1997-01-02 00:00:00','1996-12-11 00:00:00',3,124.12,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10374,'WOLZA',1,'1996-12-05 00:00:00','1997-01-02 00:00:00','1996-12-09 00:00:00',3,3.94,'Wolski Zajazd','ul. Filtrowa 68','Warszawa','','01-012','Poland'),

(10375,'HUNGC',3,'1996-12-06 00:00:00','1997-01-03 00:00:00','1996-12-09 00:00:00',2,20.12,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'),

(10376,'MEREP',1,'1996-12-09 00:00:00','1997-01-06 00:00:00','1996-12-13 00:00:00',2,20.39,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10377,'SEVES',1,'1996-12-09 00:00:00','1997-01-06 00:00:00','1996-12-13 00:00:00',3,22.21,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10378,'FOLKO',5,'1996-12-10 00:00:00','1997-01-07 00:00:00','1996-12-19 00:00:00',3,5.44,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10379,'QUEDE',2,'1996-12-11 00:00:00','1997-01-08 00:00:00','1996-12-13 00:00:00',1,45.03,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10380,'HUNGO',8,'1996-12-12 00:00:00','1997-01-09 00:00:00','1997-01-16 00:00:00',3,35.03,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10381,'LILAS',3,'1996-12-12 00:00:00','1997-01-09 00:00:00','1996-12-13 00:00:00',3,7.99,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10382,'ERNSH',4,'1996-12-13 00:00:00','1997-01-10 00:00:00','1996-12-16 00:00:00',1,94.77,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10383,'AROUT',8,'1996-12-16 00:00:00','1997-01-13 00:00:00','1996-12-18 00:00:00',3,34.24,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10384,'BERGS',3,'1996-12-16 00:00:00','1997-01-13 00:00:00','1996-12-20 00:00:00',3,168.64,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10385,'SPLIR',1,'1996-12-17 00:00:00','1997-01-14 00:00:00','1996-12-23 00:00:00',2,30.96,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10386,'FAMIA',9,'1996-12-18 00:00:00','1997-01-01 00:00:00','1996-12-25 00:00:00',3,13.99,'Familia Arquibaldo','Rua Or s, 92','Sao Paulo','SP','05442-030','Brazil'),

(10387,'SANTG',1,'1996-12-18 00:00:00','1997-01-15 00:00:00','1996-12-20 00:00:00',2,93.63,'Sant Gourmet','Erling Skakkes gate 78','Stavern','','4110','Norway'),

(10388,'SEVES',2,'1996-12-19 00:00:00','1997-01-16 00:00:00','1996-12-20 00:00:00',1,34.86,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10389,'BOTTM',4,'1996-12-20 00:00:00','1997-01-17 00:00:00','1996-12-24 00:00:00',2,47.42,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10390,'ERNSH',6,'1996-12-23 00:00:00','1997-01-20 00:00:00','1996-12-26 00:00:00',1,126.38,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10391,'DRACD',3,'1996-12-23 00:00:00','1997-01-20 00:00:00','1996-12-31 00:00:00',3,5.45,'Drachenblut Delikatessen','Walserweg 21','Aachen','','52066','Germany'),

(10392,'PICCO',2,'1996-12-24 00:00:00','1997-01-21 00:00:00','1997-01-01 00:00:00',3,122.46,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10393,'SAVEA',1,'1996-12-25 00:00:00','1997-01-22 00:00:00','1997-01-03 00:00:00',3,126.56,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10394,'HUNGC',1,'1996-12-25 00:00:00','1997-01-22 00:00:00','1997-01-03 00:00:00',3,30.34,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'),

(10395,'HILAA',6,'1996-12-26 00:00:00','1997-01-23 00:00:00','1997-01-03 00:00:00',1,184.41,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10396,'FRANK',1,'1996-12-27 00:00:00','1997-01-10 00:00:00','1997-01-06 00:00:00',3,135.35,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10397,'PRINI',5,'1996-12-27 00:00:00','1997-01-24 00:00:00','1997-01-02 00:00:00',1,60.26,'Princesa Isabel Vinhos','Estrada da sa de n. 58','Lisboa','','1756','Portugal'),

(10398,'SAVEA',2,'1996-12-30 00:00:00','1997-01-27 00:00:00','1997-01-09 00:00:00',3,89.16,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10399,'VAFFE',8,'1996-12-31 00:00:00','1997-01-14 00:00:00','1997-01-08 00:00:00',3,27.36,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10400,'EASTC',1,'1997-01-01 00:00:00','1997-01-29 00:00:00','1997-01-16 00:00:00',3,83.93,'Eastern Connection','35 King George','London','','WX3 6FW','UK'),

(10401,'RATTC',1,'1997-01-01 00:00:00','1997-01-29 00:00:00','1997-01-10 00:00:00',1,12.51,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10402,'ERNSH',8,'1997-01-02 00:00:00','1997-02-13 00:00:00','1997-01-10 00:00:00',2,67.88,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10403,'ERNSH',4,'1997-01-03 00:00:00','1997-01-31 00:00:00','1997-01-09 00:00:00',3,73.79,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10404,'MAGAA',2,'1997-01-03 00:00:00','1997-01-31 00:00:00','1997-01-08 00:00:00',1,155.97,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10405,'LINOD',1,'1997-01-06 00:00:00','1997-02-03 00:00:00','1997-01-22 00:00:00',1,34.82,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10406,'QUEEN',7,'1997-01-07 00:00:00','1997-02-18 00:00:00','1997-01-13 00:00:00',1,108.04,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10407,'OTTIK',2,'1997-01-07 00:00:00','1997-02-04 00:00:00','1997-01-30 00:00:00',2,91.48,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(10408,'FOLIG',8,'1997-01-08 00:00:00','1997-02-05 00:00:00','1997-01-14 00:00:00',1,11.26,'Folies gourmandes','184, chauss e de Tournai','Lille','','59000','France'),

(10409,'OCEAN',3,'1997-01-09 00:00:00','1997-02-06 00:00:00','1997-01-14 00:00:00',1,29.83,'Oc ano Atl ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires','','1010','Argentina'),

(10410,'BOTTM',3,'1997-01-10 00:00:00','1997-02-07 00:00:00','1997-01-15 00:00:00',3,2.4,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10411,'BOTTM',9,'1997-01-10 00:00:00','1997-02-07 00:00:00','1997-01-21 00:00:00',3,23.65,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10412,'WARTH',8,'1997-01-13 00:00:00','1997-02-10 00:00:00','1997-01-15 00:00:00',2,3.77,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10413,'LAMAI',3,'1997-01-14 00:00:00','1997-02-11 00:00:00','1997-01-16 00:00:00',2,95.66,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10414,'FAMIA',2,'1997-01-14 00:00:00','1997-02-11 00:00:00','1997-01-17 00:00:00',3,21.48,'Familia Arquibaldo','Rua Or s, 92','Sao Paulo','SP','05442-030','Brazil'),

(10415,'HUNGC',3,'1997-01-15 00:00:00','1997-02-12 00:00:00','1997-01-24 00:00:00',1,0.2,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'),

(10416,'WARTH',8,'1997-01-16 00:00:00','1997-02-13 00:00:00','1997-01-27 00:00:00',3,22.72,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10417,'SIMOB',4,'1997-01-16 00:00:00','1997-02-13 00:00:00','1997-01-28 00:00:00',3,70.29,'Simons bistro','Vinb ltet 34','Kobenhavn','','1734','Denmark'),

(10418,'QUICK',4,'1997-01-17 00:00:00','1997-02-14 00:00:00','1997-01-24 00:00:00',1,17.55,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10419,'RICSU',4,'1997-01-20 00:00:00','1997-02-17 00:00:00','1997-01-30 00:00:00',2,137.35,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(10420,'WELLI',3,'1997-01-21 00:00:00','1997-02-18 00:00:00','1997-01-27 00:00:00',1,44.12,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10421,'QUEDE',8,'1997-01-21 00:00:00','1997-03-04 00:00:00','1997-01-27 00:00:00',1,99.23,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10422,'FRANS',2,'1997-01-22 00:00:00','1997-02-19 00:00:00','1997-01-31 00:00:00',1,3.02,'Franchi S.p.A.','Via Monte Bianco 34','Torino','','10100','Italy'),

(10423,'GOURL',6,'1997-01-23 00:00:00','1997-02-06 00:00:00','1997-02-24 00:00:00',3,24.5,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(10424,'MEREP',7,'1997-01-23 00:00:00','1997-02-20 00:00:00','1997-01-27 00:00:00',2,370.61,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10425,'LAMAI',6,'1997-01-24 00:00:00','1997-02-21 00:00:00','1997-02-14 00:00:00',2,7.93,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10426,'GALED',4,'1997-01-27 00:00:00','1997-02-24 00:00:00','1997-02-06 00:00:00',1,18.69,'Galer a del gastron mo','Rambla de Catalu a, 23','Barcelona','','8022','Spain'),

(10427,'PICCO',4,'1997-01-27 00:00:00','1997-02-24 00:00:00','1997-03-03 00:00:00',2,31.29,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10428,'REGGC',7,'1997-01-28 00:00:00','1997-02-25 00:00:00','1997-02-04 00:00:00',1,11.09,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10429,'HUNGO',3,'1997-01-29 00:00:00','1997-03-12 00:00:00','1997-02-07 00:00:00',2,56.63,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10430,'ERNSH',4,'1997-01-30 00:00:00','1997-02-13 00:00:00','1997-02-03 00:00:00',1,458.78,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10431,'BOTTM',4,'1997-01-30 00:00:00','1997-02-13 00:00:00','1997-02-07 00:00:00',2,44.17,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10432,'SPLIR',3,'1997-01-31 00:00:00','1997-02-14 00:00:00','1997-02-07 00:00:00',2,4.34,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10433,'PRINI',3,'1997-02-03 00:00:00','1997-03-03 00:00:00','1997-03-04 00:00:00',3,73.83,'Princesa Isabel Vinhos','Estrada da sa de n. 58','Lisboa','','1756','Portugal'),

(10434,'FOLKO',3,'1997-02-03 00:00:00','1997-03-03 00:00:00','1997-02-13 00:00:00',2,17.92,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10435,'CONSH',8,'1997-02-04 00:00:00','1997-03-18 00:00:00','1997-02-07 00:00:00',2,9.21,'Consolidated Holdings','Berkeley Gardens 12 Brewery','London','','WX1 6LT','UK'),

(10436,'BLONP',3,'1997-02-05 00:00:00','1997-03-05 00:00:00','1997-02-11 00:00:00',2,156.66,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10437,'WARTH',8,'1997-02-05 00:00:00','1997-03-05 00:00:00','1997-02-12 00:00:00',1,19.97,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10438,'TOMSP',3,'1997-02-06 00:00:00','1997-03-06 00:00:00','1997-02-14 00:00:00',2,8.24,'Toms Spezialit ten','Luisenstr. 48','M nster','','44087','Germany'),

(10439,'MEREP',6,'1997-02-07 00:00:00','1997-03-07 00:00:00','1997-02-10 00:00:00',3,4.07,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10440,'SAVEA',4,'1997-02-10 00:00:00','1997-03-10 00:00:00','1997-02-28 00:00:00',2,86.53,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10441,'OLDWO',3,'1997-02-10 00:00:00','1997-03-24 00:00:00','1997-03-14 00:00:00',2,73.02,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10442,'ERNSH',3,'1997-02-11 00:00:00','1997-03-11 00:00:00','1997-02-18 00:00:00',2,47.94,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10443,'REGGC',8,'1997-02-12 00:00:00','1997-03-12 00:00:00','1997-02-14 00:00:00',1,13.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10444,'BERGS',3,'1997-02-12 00:00:00','1997-03-12 00:00:00','1997-02-21 00:00:00',3,3.5,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10445,'BERGS',3,'1997-02-13 00:00:00','1997-03-13 00:00:00','1997-02-20 00:00:00',1,9.3,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10446,'TOMSP',6,'1997-02-14 00:00:00','1997-03-14 00:00:00','1997-02-19 00:00:00',1,14.68,'Toms Spezialit ten','Luisenstr. 48','M nster','','44087','Germany'),

(10447,'RICAR',4,'1997-02-14 00:00:00','1997-03-14 00:00:00','1997-03-07 00:00:00',2,68.66,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10448,'RANCH',4,'1997-02-17 00:00:00','1997-03-17 00:00:00','1997-02-24 00:00:00',2,38.82,'Rancho grande','Av. del Libertador 900','Buenos Aires','','1010','Argentina'),

(10449,'BLONP',3,'1997-02-18 00:00:00','1997-03-18 00:00:00','1997-02-27 00:00:00',2,53.3,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10450,'VICTE',8,'1997-02-19 00:00:00','1997-03-19 00:00:00','1997-03-11 00:00:00',2,7.23,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10451,'QUICK',4,'1997-02-19 00:00:00','1997-03-05 00:00:00','1997-03-12 00:00:00',3,189.09,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10452,'SAVEA',8,'1997-02-20 00:00:00','1997-03-20 00:00:00','1997-02-26 00:00:00',1,140.26,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10453,'AROUT',1,'1997-02-21 00:00:00','1997-03-21 00:00:00','1997-02-26 00:00:00',2,25.36,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10454,'LAMAI',4,'1997-02-21 00:00:00','1997-03-21 00:00:00','1997-02-25 00:00:00',3,2.74,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10455,'WARTH',8,'1997-02-24 00:00:00','1997-04-07 00:00:00','1997-03-03 00:00:00',2,180.45,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10456,'KOENE',8,'1997-02-25 00:00:00','1997-04-08 00:00:00','1997-02-28 00:00:00',2,8.12,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10457,'KOENE',2,'1997-02-25 00:00:00','1997-03-25 00:00:00','1997-03-03 00:00:00',1,11.57,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10458,'SUPRD',7,'1997-02-26 00:00:00','1997-03-26 00:00:00','1997-03-04 00:00:00',3,147.06,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10459,'VICTE',4,'1997-02-27 00:00:00','1997-03-27 00:00:00','1997-02-28 00:00:00',2,25.09,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10460,'FOLKO',8,'1997-02-28 00:00:00','1997-03-28 00:00:00','1997-03-03 00:00:00',1,16.27,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10461,'LILAS',1,'1997-02-28 00:00:00','1997-03-28 00:00:00','1997-03-05 00:00:00',3,148.61,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10462,'CONSH',2,'1997-03-03 00:00:00','1997-03-31 00:00:00','1997-03-18 00:00:00',1,6.17,'Consolidated Holdings','Berkeley Gardens 12 Brewery','London','','WX1 6LT','UK'),

(10463,'SUPRD',5,'1997-03-04 00:00:00','1997-04-01 00:00:00','1997-03-06 00:00:00',3,14.78,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10464,'FURIB',4,'1997-03-04 00:00:00','1997-04-01 00:00:00','1997-03-14 00:00:00',2,89,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa','','1675','Portugal'),

(10465,'VAFFE',1,'1997-03-05 00:00:00','1997-04-02 00:00:00','1997-03-14 00:00:00',3,145.04,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10466,'COMMI',4,'1997-03-06 00:00:00','1997-04-03 00:00:00','1997-03-13 00:00:00',1,11.93,'Com rcio Mineiro','Av. dos Lus adas, 23','Sao Paulo','SP','05432-043','Brazil'),

(10467,'MAGAA',8,'1997-03-06 00:00:00','1997-04-03 00:00:00','1997-03-11 00:00:00',2,4.93,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10468,'KOENE',3,'1997-03-07 00:00:00','1997-04-04 00:00:00','1997-03-12 00:00:00',3,44.12,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10469,'WHITC',1,'1997-03-10 00:00:00','1997-04-07 00:00:00','1997-03-14 00:00:00',1,60.18,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10470,'BONAP',4,'1997-03-11 00:00:00','1997-04-08 00:00:00','1997-03-14 00:00:00',2,64.56,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10471,'BSBEV',2,'1997-03-11 00:00:00','1997-04-08 00:00:00','1997-03-18 00:00:00',3,45.59,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10472,'SEVES',8,'1997-03-12 00:00:00','1997-04-09 00:00:00','1997-03-19 00:00:00',1,4.2,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10473,'ISLAT',1,'1997-03-13 00:00:00','1997-03-27 00:00:00','1997-03-21 00:00:00',3,16.37,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10474,'PERIC',5,'1997-03-13 00:00:00','1997-04-10 00:00:00','1997-03-21 00:00:00',2,83.49,'Pericles Comidas cl sicas','Calle Dr. Jorge Cash 321','M xico D.F.','','5033','Mexico'),

(10475,'SUPRD',9,'1997-03-14 00:00:00','1997-04-11 00:00:00','1997-04-04 00:00:00',1,68.52,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10476,'HILAA',8,'1997-03-17 00:00:00','1997-04-14 00:00:00','1997-03-24 00:00:00',3,4.41,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10477,'PRINI',5,'1997-03-17 00:00:00','1997-04-14 00:00:00','1997-03-25 00:00:00',2,13.02,'Princesa Isabel Vinhos','Estrada da sa de n. 58','Lisboa','','1756','Portugal'),

(10478,'VICTE',2,'1997-03-18 00:00:00','1997-04-01 00:00:00','1997-03-26 00:00:00',3,4.81,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10479,'RATTC',3,'1997-03-19 00:00:00','1997-04-16 00:00:00','1997-03-21 00:00:00',3,708.95,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10480,'FOLIG',6,'1997-03-20 00:00:00','1997-04-17 00:00:00','1997-03-24 00:00:00',2,1.35,'Folies gourmandes','184, chauss e de Tournai','Lille','','59000','France'),

(10481,'RICAR',8,'1997-03-20 00:00:00','1997-04-17 00:00:00','1997-03-25 00:00:00',2,64.33,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10482,'LAZYK',1,'1997-03-21 00:00:00','1997-04-18 00:00:00','1997-04-10 00:00:00',3,7.48,'Lazy K Kountry Store','12 Orchestra Terrace','Walla Walla','WA','99362','USA'),

(10483,'WHITC',7,'1997-03-24 00:00:00','1997-04-21 00:00:00','1997-04-25 00:00:00',2,15.28,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10484,'BSBEV',3,'1997-03-24 00:00:00','1997-04-21 00:00:00','1997-04-01 00:00:00',3,6.88,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10485,'LINOD',4,'1997-03-25 00:00:00','1997-04-08 00:00:00','1997-03-31 00:00:00',2,64.45,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10486,'HILAA',1,'1997-03-26 00:00:00','1997-04-23 00:00:00','1997-04-02 00:00:00',2,30.53,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10487,'QUEEN',2,'1997-03-26 00:00:00','1997-04-23 00:00:00','1997-03-28 00:00:00',2,71.07,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10488,'FRANK',8,'1997-03-27 00:00:00','1997-04-24 00:00:00','1997-04-02 00:00:00',2,4.93,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10489,'PICCO',6,'1997-03-28 00:00:00','1997-04-25 00:00:00','1997-04-09 00:00:00',2,5.29,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10490,'HILAA',7,'1997-03-31 00:00:00','1997-04-28 00:00:00','1997-04-03 00:00:00',2,210.19,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10491,'FURIB',8,'1997-03-31 00:00:00','1997-04-28 00:00:00','1997-04-08 00:00:00',3,16.96,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa','','1675','Portugal'),

(10492,'BOTTM',3,'1997-04-01 00:00:00','1997-04-29 00:00:00','1997-04-11 00:00:00',1,62.89,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10493,'LAMAI',4,'1997-04-02 00:00:00','1997-04-30 00:00:00','1997-04-10 00:00:00',3,10.64,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10494,'COMMI',4,'1997-04-02 00:00:00','1997-04-30 00:00:00','1997-04-09 00:00:00',2,65.99,'Com rcio Mineiro','Av. dos Lus adas, 23','Sao Paulo','SP','05432-043','Brazil'),

(10495,'LAUGB',3,'1997-04-03 00:00:00','1997-05-01 00:00:00','1997-04-11 00:00:00',3,4.65,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'),

(10496,'TRADH',7,'1997-04-04 00:00:00','1997-05-02 00:00:00','1997-04-07 00:00:00',2,46.77,'Tradi ao Hipermercados','Av. In s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'),

(10497,'LEHMS',7,'1997-04-04 00:00:00','1997-05-02 00:00:00','1997-04-07 00:00:00',1,36.21,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10498,'HILAA',8,'1997-04-07 00:00:00','1997-05-05 00:00:00','1997-04-11 00:00:00',2,29.75,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10499,'LILAS',4,'1997-04-08 00:00:00','1997-05-06 00:00:00','1997-04-16 00:00:00',2,102.02,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10500,'LAMAI',6,'1997-04-09 00:00:00','1997-05-07 00:00:00','1997-04-17 00:00:00',1,42.68,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10501,'BLAUS',9,'1997-04-09 00:00:00','1997-05-07 00:00:00','1997-04-16 00:00:00',3,8.85,'Blauer See Delikatessen','Forsterstr. 57','Mannheim','','68306','Germany'),

(10502,'PERIC',2,'1997-04-10 00:00:00','1997-05-08 00:00:00','1997-04-29 00:00:00',1,69.32,'Pericles Comidas cl sicas','Calle Dr. Jorge Cash 321','M xico D.F.','','5033','Mexico'),

(10503,'HUNGO',6,'1997-04-11 00:00:00','1997-05-09 00:00:00','1997-04-16 00:00:00',2,16.74,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10504,'WHITC',4,'1997-04-11 00:00:00','1997-05-09 00:00:00','1997-04-18 00:00:00',3,59.13,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10505,'MEREP',3,'1997-04-14 00:00:00','1997-05-12 00:00:00','1997-04-21 00:00:00',3,7.13,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10506,'KOENE',9,'1997-04-15 00:00:00','1997-05-13 00:00:00','1997-05-02 00:00:00',2,21.19,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10507,'ANTON',7,'1997-04-15 00:00:00','1997-05-13 00:00:00','1997-04-22 00:00:00',1,47.45,'Antonio Moreno Taquer a','Mataderos 2312','M xico D.F.','','5023','Mexico'),

(10508,'OTTIK',1,'1997-04-16 00:00:00','1997-05-14 00:00:00','1997-05-13 00:00:00',2,4.99,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(10509,'BLAUS',4,'1997-04-17 00:00:00','1997-05-15 00:00:00','1997-04-29 00:00:00',1,0.15,'Blauer See Delikatessen','Forsterstr. 57','Mannheim','','68306','Germany'),

(10510,'SAVEA',6,'1997-04-18 00:00:00','1997-05-16 00:00:00','1997-04-28 00:00:00',3,367.63,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10511,'BONAP',4,'1997-04-18 00:00:00','1997-05-16 00:00:00','1997-04-21 00:00:00',3,350.64,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10512,'FAMIA',7,'1997-04-21 00:00:00','1997-05-19 00:00:00','1997-04-24 00:00:00',2,3.53,'Familia Arquibaldo','Rua Or s, 92','Sao Paulo','SP','05442-030','Brazil'),

(10513,'WANDK',7,'1997-04-22 00:00:00','1997-06-03 00:00:00','1997-04-28 00:00:00',1,105.65,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10514,'ERNSH',3,'1997-04-22 00:00:00','1997-05-20 00:00:00','1997-05-16 00:00:00',2,789.95,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10515,'QUICK',2,'1997-04-23 00:00:00','1997-05-07 00:00:00','1997-05-23 00:00:00',1,204.47,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10516,'HUNGO',2,'1997-04-24 00:00:00','1997-05-22 00:00:00','1997-05-01 00:00:00',3,62.78,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10517,'NORTS',3,'1997-04-24 00:00:00','1997-05-22 00:00:00','1997-04-29 00:00:00',3,32.07,'North/South','South House 300 Queensbridge','London','','SW7 1RZ','UK'),

(10518,'TORTU',4,'1997-04-25 00:00:00','1997-05-09 00:00:00','1997-05-05 00:00:00',2,218.15,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10519,'CHOPS',6,'1997-04-28 00:00:00','1997-05-26 00:00:00','1997-05-01 00:00:00',3,91.76,'Chop-suey Chinese','Hauptstr. 31','Bern','','3012','Switzerland'),

(10520,'SANTG',7,'1997-04-29 00:00:00','1997-05-27 00:00:00','1997-05-01 00:00:00',1,13.37,'Sant Gourmet','Erling Skakkes gate 78','Stavern','','4110','Norway'),

(10521,'CACTU',8,'1997-04-29 00:00:00','1997-05-27 00:00:00','1997-05-02 00:00:00',2,17.22,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires','','1010','Argentina'),

(10522,'LEHMS',4,'1997-04-30 00:00:00','1997-05-28 00:00:00','1997-05-06 00:00:00',1,45.33,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10523,'SEVES',7,'1997-05-01 00:00:00','1997-05-29 00:00:00','1997-05-30 00:00:00',2,77.63,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10524,'BERGS',1,'1997-05-01 00:00:00','1997-05-29 00:00:00','1997-05-07 00:00:00',2,244.79,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10525,'BONAP',1,'1997-05-02 00:00:00','1997-05-30 00:00:00','1997-05-23 00:00:00',2,11.06,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10526,'WARTH',4,'1997-05-05 00:00:00','1997-06-02 00:00:00','1997-05-15 00:00:00',2,58.59,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10527,'QUICK',7,'1997-05-05 00:00:00','1997-06-02 00:00:00','1997-05-07 00:00:00',1,41.9,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10528,'GREAL',6,'1997-05-06 00:00:00','1997-05-20 00:00:00','1997-05-09 00:00:00',2,3.35,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(10529,'MAISD',5,'1997-05-07 00:00:00','1997-06-04 00:00:00','1997-05-09 00:00:00',2,66.69,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles','','B-1180','Belgium'),

(10530,'PICCO',3,'1997-05-08 00:00:00','1997-06-05 00:00:00','1997-05-12 00:00:00',2,339.22,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10531,'OCEAN',7,'1997-05-08 00:00:00','1997-06-05 00:00:00','1997-05-19 00:00:00',1,8.12,'Oc ano Atl ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires','','1010','Argentina'),

(10532,'EASTC',7,'1997-05-09 00:00:00','1997-06-06 00:00:00','1997-05-12 00:00:00',3,74.46,'Eastern Connection','35 King George','London','','WX3 6FW','UK'),

(10533,'FOLKO',8,'1997-05-12 00:00:00','1997-06-09 00:00:00','1997-05-22 00:00:00',1,188.04,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10534,'LEHMS',8,'1997-05-12 00:00:00','1997-06-09 00:00:00','1997-05-14 00:00:00',2,27.94,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10535,'ANTON',4,'1997-05-13 00:00:00','1997-06-10 00:00:00','1997-05-21 00:00:00',1,15.64,'Antonio Moreno Taquer a','Mataderos 2312','M xico D.F.','','5023','Mexico'),

(10536,'LEHMS',3,'1997-05-14 00:00:00','1997-06-11 00:00:00','1997-06-06 00:00:00',2,58.88,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10537,'RICSU',1,'1997-05-14 00:00:00','1997-05-28 00:00:00','1997-05-19 00:00:00',1,78.85,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(10538,'BSBEV',9,'1997-05-15 00:00:00','1997-06-12 00:00:00','1997-05-16 00:00:00',3,4.87,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10539,'BSBEV',6,'1997-05-16 00:00:00','1997-06-13 00:00:00','1997-05-23 00:00:00',3,12.36,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10540,'QUICK',3,'1997-05-19 00:00:00','1997-06-16 00:00:00','1997-06-13 00:00:00',3,1007.64,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10541,'HANAR',2,'1997-05-19 00:00:00','1997-06-16 00:00:00','1997-05-29 00:00:00',1,68.65,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10542,'KOENE',1,'1997-05-20 00:00:00','1997-06-17 00:00:00','1997-05-26 00:00:00',3,10.95,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10543,'LILAS',8,'1997-05-21 00:00:00','1997-06-18 00:00:00','1997-05-23 00:00:00',2,48.17,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10544,'LONEP',4,'1997-05-21 00:00:00','1997-06-18 00:00:00','1997-05-30 00:00:00',1,24.91,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'),

(10545,'LAZYK',8,'1997-05-22 00:00:00','1997-06-19 00:00:00','1997-06-26 00:00:00',2,11.92,'Lazy K Kountry Store','12 Orchestra Terrace','Walla Walla','WA','99362','USA'),

(10546,'VICTE',1,'1997-05-23 00:00:00','1997-06-20 00:00:00','1997-05-27 00:00:00',3,194.72,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10547,'SEVES',3,'1997-05-23 00:00:00','1997-06-20 00:00:00','1997-06-02 00:00:00',2,178.43,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10548,'TOMSP',3,'1997-05-26 00:00:00','1997-06-23 00:00:00','1997-06-02 00:00:00',2,1.43,'Toms Spezialit ten','Luisenstr. 48','M nster','','44087','Germany'),

(10549,'QUICK',5,'1997-05-27 00:00:00','1997-06-10 00:00:00','1997-05-30 00:00:00',1,171.24,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10550,'GODOS',7,'1997-05-28 00:00:00','1997-06-25 00:00:00','1997-06-06 00:00:00',3,4.32,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(10551,'FURIB',4,'1997-05-28 00:00:00','1997-07-09 00:00:00','1997-06-06 00:00:00',3,72.95,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa','','1675','Portugal'),

(10552,'HILAA',2,'1997-05-29 00:00:00','1997-06-26 00:00:00','1997-06-05 00:00:00',1,83.22,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10553,'WARTH',2,'1997-05-30 00:00:00','1997-06-27 00:00:00','1997-06-03 00:00:00',2,149.49,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10554,'OTTIK',4,'1997-05-30 00:00:00','1997-06-27 00:00:00','1997-06-05 00:00:00',3,120.97,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(10555,'SAVEA',6,'1997-06-02 00:00:00','1997-06-30 00:00:00','1997-06-04 00:00:00',3,252.49,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10556,'SIMOB',2,'1997-06-03 00:00:00','1997-07-15 00:00:00','1997-06-13 00:00:00',1,9.8,'Simons bistro','Vinb ltet 34','Kobenhavn','','1734','Denmark'),

(10557,'LEHMS',9,'1997-06-03 00:00:00','1997-06-17 00:00:00','1997-06-06 00:00:00',2,96.72,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10558,'AROUT',1,'1997-06-04 00:00:00','1997-07-02 00:00:00','1997-06-10 00:00:00',2,72.97,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10559,'BLONP',6,'1997-06-05 00:00:00','1997-07-03 00:00:00','1997-06-13 00:00:00',1,8.05,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10560,'FRANK',8,'1997-06-06 00:00:00','1997-07-04 00:00:00','1997-06-09 00:00:00',1,36.65,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10561,'FOLKO',2,'1997-06-06 00:00:00','1997-07-04 00:00:00','1997-06-09 00:00:00',2,242.21,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10562,'REGGC',1,'1997-06-09 00:00:00','1997-07-07 00:00:00','1997-06-12 00:00:00',1,22.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10563,'RICAR',2,'1997-06-10 00:00:00','1997-07-22 00:00:00','1997-06-24 00:00:00',2,60.43,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10564,'RATTC',4,'1997-06-10 00:00:00','1997-07-08 00:00:00','1997-06-16 00:00:00',3,13.75,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10565,'MEREP',8,'1997-06-11 00:00:00','1997-07-09 00:00:00','1997-06-18 00:00:00',2,7.15,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10566,'BLONP',9,'1997-06-12 00:00:00','1997-07-10 00:00:00','1997-06-18 00:00:00',1,88.4,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10567,'HUNGO',1,'1997-06-12 00:00:00','1997-07-10 00:00:00','1997-06-17 00:00:00',1,33.97,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10568,'GALED',3,'1997-06-13 00:00:00','1997-07-11 00:00:00','1997-07-09 00:00:00',3,6.54,'Galer a del gastron mo','Rambla de Catalu a, 23','Barcelona','','8022','Spain'),

(10569,'RATTC',5,'1997-06-16 00:00:00','1997-07-14 00:00:00','1997-07-11 00:00:00',1,58.98,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10570,'MEREP',3,'1997-06-17 00:00:00','1997-07-15 00:00:00','1997-06-19 00:00:00',3,188.99,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10571,'ERNSH',8,'1997-06-17 00:00:00','1997-07-29 00:00:00','1997-07-04 00:00:00',3,26.06,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10572,'BERGS',3,'1997-06-18 00:00:00','1997-07-16 00:00:00','1997-06-25 00:00:00',2,116.43,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10573,'ANTON',7,'1997-06-19 00:00:00','1997-07-17 00:00:00','1997-06-20 00:00:00',3,84.84,'Antonio Moreno Taquer a','Mataderos 2312','M xico D.F.','','5023','Mexico'),

(10574,'TRAIH',4,'1997-06-19 00:00:00','1997-07-17 00:00:00','1997-06-30 00:00:00',2,37.6,'Trail\'s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'),

(10575,'MORGK',5,'1997-06-20 00:00:00','1997-07-04 00:00:00','1997-06-30 00:00:00',1,127.34,'Morgenstern Gesundkost','Heerstr. 22','Leipzig','','4179','Germany'),

(10576,'TORTU',3,'1997-06-23 00:00:00','1997-07-07 00:00:00','1997-06-30 00:00:00',3,18.56,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10577,'TRAIH',9,'1997-06-23 00:00:00','1997-08-04 00:00:00','1997-06-30 00:00:00',2,25.41,'Trail\'s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'),

(10578,'BSBEV',4,'1997-06-24 00:00:00','1997-07-22 00:00:00','1997-07-25 00:00:00',3,29.6,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10579,'LETSS',1,'1997-06-25 00:00:00','1997-07-23 00:00:00','1997-07-04 00:00:00',2,13.73,'Let\'s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'),

(10580,'OTTIK',4,'1997-06-26 00:00:00','1997-07-24 00:00:00','1997-07-01 00:00:00',3,75.89,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(10581,'FAMIA',3,'1997-06-26 00:00:00','1997-07-24 00:00:00','1997-07-02 00:00:00',1,3.01,'Familia Arquibaldo','Rua Or s, 92','Sao Paulo','SP','05442-030','Brazil'),

(10582,'BLAUS',3,'1997-06-27 00:00:00','1997-07-25 00:00:00','1997-07-14 00:00:00',2,27.71,'Blauer See Delikatessen','Forsterstr. 57','Mannheim','','68306','Germany'),

(10583,'WARTH',2,'1997-06-30 00:00:00','1997-07-28 00:00:00','1997-07-04 00:00:00',2,7.28,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10584,'BLONP',4,'1997-06-30 00:00:00','1997-07-28 00:00:00','1997-07-04 00:00:00',1,59.14,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10585,'WELLI',7,'1997-07-01 00:00:00','1997-07-29 00:00:00','1997-07-10 00:00:00',1,13.41,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10586,'REGGC',9,'1997-07-02 00:00:00','1997-07-30 00:00:00','1997-07-09 00:00:00',1,0.48,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10587,'QUEDE',1,'1997-07-02 00:00:00','1997-07-30 00:00:00','1997-07-09 00:00:00',1,62.52,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10588,'QUICK',2,'1997-07-03 00:00:00','1997-07-31 00:00:00','1997-07-10 00:00:00',3,194.67,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10589,'GREAL',8,'1997-07-04 00:00:00','1997-08-01 00:00:00','1997-07-14 00:00:00',2,4.42,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(10590,'MEREP',4,'1997-07-07 00:00:00','1997-08-04 00:00:00','1997-07-14 00:00:00',3,44.77,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10591,'VAFFE',1,'1997-07-07 00:00:00','1997-07-21 00:00:00','1997-07-16 00:00:00',1,55.92,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10592,'LEHMS',3,'1997-07-08 00:00:00','1997-08-05 00:00:00','1997-07-16 00:00:00',1,32.1,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10593,'LEHMS',7,'1997-07-09 00:00:00','1997-08-06 00:00:00','1997-08-13 00:00:00',2,174.2,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10594,'OLDWO',3,'1997-07-09 00:00:00','1997-08-06 00:00:00','1997-07-16 00:00:00',2,5.24,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10595,'ERNSH',2,'1997-07-10 00:00:00','1997-08-07 00:00:00','1997-07-14 00:00:00',1,96.78,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10596,'WHITC',8,'1997-07-11 00:00:00','1997-08-08 00:00:00','1997-08-12 00:00:00',1,16.34,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10597,'PICCO',7,'1997-07-11 00:00:00','1997-08-08 00:00:00','1997-07-18 00:00:00',3,35.12,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10598,'RATTC',1,'1997-07-14 00:00:00','1997-08-11 00:00:00','1997-07-18 00:00:00',3,44.42,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10599,'BSBEV',6,'1997-07-15 00:00:00','1997-08-26 00:00:00','1997-07-21 00:00:00',3,29.98,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10600,'HUNGC',4,'1997-07-16 00:00:00','1997-08-13 00:00:00','1997-07-21 00:00:00',1,45.13,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'),

(10601,'HILAA',7,'1997-07-16 00:00:00','1997-08-27 00:00:00','1997-07-22 00:00:00',1,58.3,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10602,'VAFFE',8,'1997-07-17 00:00:00','1997-08-14 00:00:00','1997-07-22 00:00:00',2,2.92,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10603,'SAVEA',8,'1997-07-18 00:00:00','1997-08-15 00:00:00','1997-08-08 00:00:00',2,48.77,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10604,'FURIB',1,'1997-07-18 00:00:00','1997-08-15 00:00:00','1997-07-29 00:00:00',1,7.46,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa','','1675','Portugal'),

(10605,'MEREP',1,'1997-07-21 00:00:00','1997-08-18 00:00:00','1997-07-29 00:00:00',2,379.13,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10606,'TRADH',4,'1997-07-22 00:00:00','1997-08-19 00:00:00','1997-07-31 00:00:00',3,79.4,'Tradi ao Hipermercados','Av. In s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'),

(10607,'SAVEA',5,'1997-07-22 00:00:00','1997-08-19 00:00:00','1997-07-25 00:00:00',1,200.24,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10608,'TOMSP',4,'1997-07-23 00:00:00','1997-08-20 00:00:00','1997-08-01 00:00:00',2,27.79,'Toms Spezialit ten','Luisenstr. 48','M nster','','44087','Germany'),

(10609,'DUMON',7,'1997-07-24 00:00:00','1997-08-21 00:00:00','1997-07-30 00:00:00',2,1.85,'Du monde entier','67, rue des Cinquante Otages','Nantes','','44000','France'),

(10610,'LAMAI',8,'1997-07-25 00:00:00','1997-08-22 00:00:00','1997-08-06 00:00:00',1,26.78,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10611,'WOLZA',6,'1997-07-25 00:00:00','1997-08-22 00:00:00','1997-08-01 00:00:00',2,80.65,'Wolski Zajazd','ul. Filtrowa 68','Warszawa','','01-012','Poland'),

(10612,'SAVEA',1,'1997-07-28 00:00:00','1997-08-25 00:00:00','1997-08-01 00:00:00',2,544.08,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10613,'HILAA',4,'1997-07-29 00:00:00','1997-08-26 00:00:00','1997-08-01 00:00:00',2,8.11,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10614,'BLAUS',8,'1997-07-29 00:00:00','1997-08-26 00:00:00','1997-08-01 00:00:00',3,1.93,'Blauer See Delikatessen','Forsterstr. 57','Mannheim','','68306','Germany'),

(10615,'WILMK',2,'1997-07-30 00:00:00','1997-08-27 00:00:00','1997-08-06 00:00:00',3,0.75,'Wilman Kala','Keskuskatu 45','Helsinki','','21240','Finland'),

(10616,'GREAL',1,'1997-07-31 00:00:00','1997-08-28 00:00:00','1997-08-05 00:00:00',2,116.53,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(10617,'GREAL',4,'1997-07-31 00:00:00','1997-08-28 00:00:00','1997-08-04 00:00:00',2,18.53,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(10618,'MEREP',1,'1997-08-01 00:00:00','1997-09-12 00:00:00','1997-08-08 00:00:00',1,154.68,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10619,'MEREP',3,'1997-08-04 00:00:00','1997-09-01 00:00:00','1997-08-07 00:00:00',3,91.05,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10620,'LAUGB',2,'1997-08-05 00:00:00','1997-09-02 00:00:00','1997-08-14 00:00:00',3,0.94,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'),

(10621,'ISLAT',4,'1997-08-05 00:00:00','1997-09-02 00:00:00','1997-08-11 00:00:00',2,23.73,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10622,'RICAR',4,'1997-08-06 00:00:00','1997-09-03 00:00:00','1997-08-11 00:00:00',3,50.97,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10623,'FRANK',8,'1997-08-07 00:00:00','1997-09-04 00:00:00','1997-08-12 00:00:00',2,97.18,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany');

(10624,'THECR',4,'1997-08-07 00:00:00','1997-09-04 00:00:00','1997-08-19 00:00:00',2,94.8,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'),

(10625,'ANATR',3,'1997-08-08 00:00:00','1997-09-05 00:00:00','1997-08-14 00:00:00',1,43.9,'Ana Trujillo Emparedados y helados','Avda. de la Constituci n 2222','M xico D.F.','','5021','Mexico'),

(10626,'BERGS',1,'1997-08-11 00:00:00','1997-09-08 00:00:00','1997-08-20 00:00:00',2,138.69,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10627,'SAVEA',8,'1997-08-11 00:00:00','1997-09-22 00:00:00','1997-08-21 00:00:00',3,107.46,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10628,'BLONP',4,'1997-08-12 00:00:00','1997-09-09 00:00:00','1997-08-20 00:00:00',3,30.36,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10629,'GODOS',4,'1997-08-12 00:00:00','1997-09-09 00:00:00','1997-08-20 00:00:00',3,85.46,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(10630,'KOENE',1,'1997-08-13 00:00:00','1997-09-10 00:00:00','1997-08-19 00:00:00',2,32.35,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10631,'LAMAI',8,'1997-08-14 00:00:00','1997-09-11 00:00:00','1997-08-15 00:00:00',1,0.87,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10632,'WANDK',8,'1997-08-14 00:00:00','1997-09-11 00:00:00','1997-08-19 00:00:00',1,41.38,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10633,'ERNSH',7,'1997-08-15 00:00:00','1997-09-12 00:00:00','1997-08-18 00:00:00',3,477.9,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10634,'FOLIG',4,'1997-08-15 00:00:00','1997-09-12 00:00:00','1997-08-21 00:00:00',3,487.38,'Folies gourmandes','184, chauss e de Tournai','Lille','','59000','France'),

(10635,'MAGAA',8,'1997-08-18 00:00:00','1997-09-15 00:00:00','1997-08-21 00:00:00',3,47.46,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10636,'WARTH',4,'1997-08-19 00:00:00','1997-09-16 00:00:00','1997-08-26 00:00:00',1,1.15,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10637,'QUEEN',6,'1997-08-19 00:00:00','1997-09-16 00:00:00','1997-08-26 00:00:00',1,201.29,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10638,'LINOD',3,'1997-08-20 00:00:00','1997-09-17 00:00:00','1997-09-01 00:00:00',1,158.44,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10639,'SANTG',7,'1997-08-20 00:00:00','1997-09-17 00:00:00','1997-08-27 00:00:00',3,38.64,'Sant Gourmet','Erling Skakkes gate 78','Stavern','','4110','Norway'),

(10640,'WANDK',4,'1997-08-21 00:00:00','1997-09-18 00:00:00','1997-08-28 00:00:00',1,23.55,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10641,'HILAA',4,'1997-08-22 00:00:00','1997-09-19 00:00:00','1997-08-26 00:00:00',2,179.61,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10642,'SIMOB',7,'1997-08-22 00:00:00','1997-09-19 00:00:00','1997-09-05 00:00:00',3,41.89,'Simons bistro','Vinb ltet 34','Kobenhavn','','1734','Denmark'),

(10643,'ALFKI',6,'1997-08-25 00:00:00','1997-09-22 00:00:00','1997-09-02 00:00:00',1,29.46,'Alfreds Futterkiste','Obere Str. 57','Berlin','','12209','Germany'),

(10644,'WELLI',3,'1997-08-25 00:00:00','1997-09-22 00:00:00','1997-09-01 00:00:00',2,0.14,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10645,'HANAR',4,'1997-08-26 00:00:00','1997-09-23 00:00:00','1997-09-02 00:00:00',1,12.41,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10646,'HUNGO',9,'1997-08-27 00:00:00','1997-10-08 00:00:00','1997-09-03 00:00:00',3,142.33,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10647,'QUEDE',4,'1997-08-27 00:00:00','1997-09-10 00:00:00','1997-09-03 00:00:00',2,45.54,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10648,'RICAR',5,'1997-08-28 00:00:00','1997-10-09 00:00:00','1997-09-09 00:00:00',2,14.25,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10649,'MAISD',5,'1997-08-28 00:00:00','1997-09-25 00:00:00','1997-08-29 00:00:00',3,6.2,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles','','B-1180','Belgium'),

(10650,'FAMIA',5,'1997-08-29 00:00:00','1997-09-26 00:00:00','1997-09-03 00:00:00',3,176.81,'Familia Arquibaldo','Rua Or s, 92','Sao Paulo','SP','05442-030','Brazil'),

(10651,'WANDK',8,'1997-09-01 00:00:00','1997-09-29 00:00:00','1997-09-11 00:00:00',2,20.6,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10652,'GOURL',4,'1997-09-01 00:00:00','1997-09-29 00:00:00','1997-09-08 00:00:00',2,7.14,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(10653,'FRANK',1,'1997-09-02 00:00:00','1997-09-30 00:00:00','1997-09-19 00:00:00',1,93.25,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10654,'BERGS',5,'1997-09-02 00:00:00','1997-09-30 00:00:00','1997-09-11 00:00:00',1,55.26,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10655,'REGGC',1,'1997-09-03 00:00:00','1997-10-01 00:00:00','1997-09-11 00:00:00',2,4.41,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10656,'GREAL',6,'1997-09-04 00:00:00','1997-10-02 00:00:00','1997-09-10 00:00:00',1,57.15,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(10657,'SAVEA',2,'1997-09-04 00:00:00','1997-10-02 00:00:00','1997-09-15 00:00:00',2,352.69,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10658,'QUICK',4,'1997-09-05 00:00:00','1997-10-03 00:00:00','1997-09-08 00:00:00',1,364.15,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10659,'QUEEN',7,'1997-09-05 00:00:00','1997-10-03 00:00:00','1997-09-10 00:00:00',2,105.81,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10660,'HUNGC',8,'1997-09-08 00:00:00','1997-10-06 00:00:00','1997-10-15 00:00:00',1,111.29,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'),

(10661,'HUNGO',7,'1997-09-09 00:00:00','1997-10-07 00:00:00','1997-09-15 00:00:00',3,17.55,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10662,'LONEP',3,'1997-09-09 00:00:00','1997-10-07 00:00:00','1997-09-18 00:00:00',2,1.28,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'),

(10663,'BONAP',2,'1997-09-10 00:00:00','1997-09-24 00:00:00','1997-10-03 00:00:00',2,113.15,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10664,'FURIB',1,'1997-09-10 00:00:00','1997-10-08 00:00:00','1997-09-19 00:00:00',3,1.27,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa','','1675','Portugal'),

(10665,'LONEP',1,'1997-09-11 00:00:00','1997-10-09 00:00:00','1997-09-17 00:00:00',2,26.31,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'),

(10666,'RICSU',7,'1997-09-12 00:00:00','1997-10-10 00:00:00','1997-09-22 00:00:00',2,232.42,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(10667,'ERNSH',7,'1997-09-12 00:00:00','1997-10-10 00:00:00','1997-09-19 00:00:00',1,78.09,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10668,'WANDK',1,'1997-09-15 00:00:00','1997-10-13 00:00:00','1997-09-23 00:00:00',2,47.22,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(10669,'SIMOB',2,'1997-09-15 00:00:00','1997-10-13 00:00:00','1997-09-22 00:00:00',1,24.39,'Simons bistro','Vinb ltet 34','Kobenhavn','','1734','Denmark'),

(10670,'FRANK',4,'1997-09-16 00:00:00','1997-10-14 00:00:00','1997-09-18 00:00:00',1,203.48,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10671,'FRANR',1,'1997-09-17 00:00:00','1997-10-15 00:00:00','1997-09-24 00:00:00',1,30.34,'France restauration','54, rue Royale','Nantes','','44000','France'),

(10672,'BERGS',9,'1997-09-17 00:00:00','1997-10-01 00:00:00','1997-09-26 00:00:00',2,95.75,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10673,'WILMK',2,'1997-09-18 00:00:00','1997-10-16 00:00:00','1997-09-19 00:00:00',1,22.76,'Wilman Kala','Keskuskatu 45','Helsinki','','21240','Finland'),

(10674,'ISLAT',4,'1997-09-18 00:00:00','1997-10-16 00:00:00','1997-09-30 00:00:00',2,0.9,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10675,'FRANK',5,'1997-09-19 00:00:00','1997-10-17 00:00:00','1997-09-23 00:00:00',2,31.85,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10676,'TORTU',2,'1997-09-22 00:00:00','1997-10-20 00:00:00','1997-09-29 00:00:00',2,2.01,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10677,'ANTON',1,'1997-09-22 00:00:00','1997-10-20 00:00:00','1997-09-26 00:00:00',3,4.03,'Antonio Moreno Taquer a','Mataderos 2312','M xico D.F.','','5023','Mexico'),

(10678,'SAVEA',7,'1997-09-23 00:00:00','1997-10-21 00:00:00','1997-10-16 00:00:00',3,388.98,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10679,'BLONP',8,'1997-09-23 00:00:00','1997-10-21 00:00:00','1997-09-30 00:00:00',3,27.94,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10680,'OLDWO',1,'1997-09-24 00:00:00','1997-10-22 00:00:00','1997-09-26 00:00:00',1,26.61,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10681,'GREAL',3,'1997-09-25 00:00:00','1997-10-23 00:00:00','1997-09-30 00:00:00',3,76.13,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(10682,'ANTON',3,'1997-09-25 00:00:00','1997-10-23 00:00:00','1997-10-01 00:00:00',2,36.13,'Antonio Moreno Taquer a','Mataderos 2312','M xico D.F.','','5023','Mexico'),

(10683,'DUMON',2,'1997-09-26 00:00:00','1997-10-24 00:00:00','1997-10-01 00:00:00',1,4.4,'Du monde entier','67, rue des Cinquante Otages','Nantes','','44000','France'),

(10684,'OTTIK',3,'1997-09-26 00:00:00','1997-10-24 00:00:00','1997-09-30 00:00:00',1,145.63,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(10685,'GOURL',4,'1997-09-29 00:00:00','1997-10-13 00:00:00','1997-10-03 00:00:00',2,33.75,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(10686,'PICCO',2,'1997-09-30 00:00:00','1997-10-28 00:00:00','1997-10-08 00:00:00',1,96.5,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10687,'HUNGO',9,'1997-09-30 00:00:00','1997-10-28 00:00:00','1997-10-30 00:00:00',2,296.43,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10688,'VAFFE',4,'1997-10-01 00:00:00','1997-10-15 00:00:00','1997-10-07 00:00:00',2,299.09,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10689,'BERGS',1,'1997-10-01 00:00:00','1997-10-29 00:00:00','1997-10-07 00:00:00',2,13.42,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10690,'HANAR',1,'1997-10-02 00:00:00','1997-10-30 00:00:00','1997-10-03 00:00:00',1,15.8,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10691,'QUICK',2,'1997-10-03 00:00:00','1997-11-14 00:00:00','1997-10-22 00:00:00',2,810.05,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10692,'ALFKI',4,'1997-10-03 00:00:00','1997-10-31 00:00:00','1997-10-13 00:00:00',2,61.02,'Alfred\'s Futterkiste','Obere Str. 57','Berlin','','12209','Germany'),

(10693,'WHITC',3,'1997-10-06 00:00:00','1997-10-20 00:00:00','1997-10-10 00:00:00',3,139.34,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10694,'QUICK',8,'1997-10-06 00:00:00','1997-11-03 00:00:00','1997-10-09 00:00:00',3,398.36,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10695,'WILMK',7,'1997-10-07 00:00:00','1997-11-18 00:00:00','1997-10-14 00:00:00',1,16.72,'Wilman Kala','Keskuskatu 45','Helsinki','','21240','Finland'),

(10696,'WHITC',8,'1997-10-08 00:00:00','1997-11-19 00:00:00','1997-10-14 00:00:00',3,102.55,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10697,'LINOD',3,'1997-10-08 00:00:00','1997-11-05 00:00:00','1997-10-14 00:00:00',1,45.52,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10698,'ERNSH',4,'1997-10-09 00:00:00','1997-11-06 00:00:00','1997-10-17 00:00:00',1,272.47,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10699,'MORGK',3,'1997-10-09 00:00:00','1997-11-06 00:00:00','1997-10-13 00:00:00',3,0.58,'Morgenstern Gesundkost','Heerstr. 22','Leipzig','','4179','Germany'),

(10700,'SAVEA',3,'1997-10-10 00:00:00','1997-11-07 00:00:00','1997-10-16 00:00:00',1,65.1,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10701,'HUNGO',6,'1997-10-13 00:00:00','1997-10-27 00:00:00','1997-10-15 00:00:00',3,220.31,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10702,'ALFKI',4,'1997-10-13 00:00:00','1997-11-24 00:00:00','1997-10-21 00:00:00',1,23.94,'Alfred\'s Futterkiste','Obere Str. 57','Berlin','','12209','Germany'),

(10703,'FOLKO',6,'1997-10-14 00:00:00','1997-11-11 00:00:00','1997-10-20 00:00:00',2,152.3,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10704,'QUEEN',6,'1997-10-14 00:00:00','1997-11-11 00:00:00','1997-11-07 00:00:00',1,4.78,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10705,'HILAA',9,'1997-10-15 00:00:00','1997-11-12 00:00:00','1997-11-18 00:00:00',2,3.52,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10706,'OLDWO',8,'1997-10-16 00:00:00','1997-11-13 00:00:00','1997-10-21 00:00:00',3,135.63,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10707,'AROUT',4,'1997-10-16 00:00:00','1997-10-30 00:00:00','1997-10-23 00:00:00',3,21.74,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10708,'THEBI',6,'1997-10-17 00:00:00','1997-11-28 00:00:00','1997-11-05 00:00:00',2,2.96,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'),

(10709,'GOURL',1,'1997-10-17 00:00:00','1997-11-14 00:00:00','1997-11-20 00:00:00',3,210.8,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(10710,'FRANS',1,'1997-10-20 00:00:00','1997-11-17 00:00:00','1997-10-23 00:00:00',1,4.98,'Franchi S.p.A.','Via Monte Bianco 34','Torino','','10100','Italy'),

(10711,'SAVEA',5,'1997-10-21 00:00:00','1997-12-02 00:00:00','1997-10-29 00:00:00',2,52.41,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10712,'HUNGO',3,'1997-10-21 00:00:00','1997-11-18 00:00:00','1997-10-31 00:00:00',1,89.93,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10713,'SAVEA',1,'1997-10-22 00:00:00','1997-11-19 00:00:00','1997-10-24 00:00:00',1,167.05,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10714,'SAVEA',5,'1997-10-22 00:00:00','1997-11-19 00:00:00','1997-10-27 00:00:00',3,24.49,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10715,'BONAP',3,'1997-10-23 00:00:00','1997-11-06 00:00:00','1997-10-29 00:00:00',1,63.2,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10716,'RANCH',4,'1997-10-24 00:00:00','1997-11-21 00:00:00','1997-10-27 00:00:00',2,22.57,'Rancho grande','Av. del Libertador 900','Buenos Aires','','1010','Argentina'),

(10717,'FRANK',1,'1997-10-24 00:00:00','1997-11-21 00:00:00','1997-10-29 00:00:00',2,59.25,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10718,'KOENE',1,'1997-10-27 00:00:00','1997-11-24 00:00:00','1997-10-29 00:00:00',3,170.88,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10719,'LETSS',8,'1997-10-27 00:00:00','1997-11-24 00:00:00','1997-11-05 00:00:00',2,51.44,'Let\'s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'),

(10720,'QUEDE',8,'1997-10-28 00:00:00','1997-11-11 00:00:00','1997-11-05 00:00:00',2,9.53,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10721,'QUICK',5,'1997-10-29 00:00:00','1997-11-26 00:00:00','1997-10-31 00:00:00',3,48.92,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10722,'SAVEA',8,'1997-10-29 00:00:00','1997-12-10 00:00:00','1997-11-04 00:00:00',1,74.58,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10723,'WHITC',3,'1997-10-30 00:00:00','1997-11-27 00:00:00','1997-11-25 00:00:00',1,21.72,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10724,'MEREP',8,'1997-10-30 00:00:00','1997-12-11 00:00:00','1997-11-05 00:00:00',2,57.75,'M re Paillarde','43 rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada'),

(10725,'FAMIA',4,'1997-10-31 00:00:00','1997-11-28 00:00:00','1997-11-05 00:00:00',3,10.83,'Familia Arquibaldo','Rua Or s, 92','Sao Paulo','SP','05442-030','Brazil'),

(10726,'EASTC',4,'1997-11-03 00:00:00','1997-11-17 00:00:00','1997-12-05 00:00:00',1,16.56,'Eastern Connection','35 King George','London','','WX3 6FW','UK'),

(10727,'REGGC',2,'1997-11-03 00:00:00','1997-12-01 00:00:00','1997-12-05 00:00:00',1,89.9,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10728,'QUEEN',4,'1997-11-04 00:00:00','1997-12-02 00:00:00','1997-11-11 00:00:00',2,58.33,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10729,'LINOD',8,'1997-11-04 00:00:00','1997-12-16 00:00:00','1997-11-14 00:00:00',3,141.06,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10730,'BONAP',5,'1997-11-05 00:00:00','1997-12-03 00:00:00','1997-11-14 00:00:00',1,20.12,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10731,'CHOPS',7,'1997-11-06 00:00:00','1997-12-04 00:00:00','1997-11-14 00:00:00',1,96.65,'Chop-suey Chinese','Hauptstr. 31','Bern','','3012','Switzerland'),

(10732,'BONAP',3,'1997-11-06 00:00:00','1997-12-04 00:00:00','1997-11-07 00:00:00',1,16.97,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10733,'BERGS',1,'1997-11-07 00:00:00','1997-12-05 00:00:00','1997-11-10 00:00:00',3,110.11,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10734,'GOURL',2,'1997-11-07 00:00:00','1997-12-05 00:00:00','1997-11-12 00:00:00',3,1.63,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(10735,'LETSS',6,'1997-11-10 00:00:00','1997-12-08 00:00:00','1997-11-21 00:00:00',2,45.97,'Let\'s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'),

(10736,'HUNGO',9,'1997-11-11 00:00:00','1997-12-09 00:00:00','1997-11-21 00:00:00',2,44.1,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10737,'VINET',2,'1997-11-11 00:00:00','1997-12-09 00:00:00','1997-11-18 00:00:00',2,7.79,'Vins et alcools Chevalier','59 rue de l\'Abbaye','Reims','','51100','France'),

(10738,'SPECD',2,'1997-11-12 00:00:00','1997-12-10 00:00:00','1997-11-18 00:00:00',1,2.91,'Sp cialit s du monde','25, rue Lauriston','Paris','','75016','France'),

(10739,'VINET',3,'1997-11-12 00:00:00','1997-12-10 00:00:00','1997-11-17 00:00:00',3,11.08,'Vins et alcools Chevalier','59 rue de l\'Abbaye','Reims','','51100','France'),

(10740,'WHITC',4,'1997-11-13 00:00:00','1997-12-11 00:00:00','1997-11-25 00:00:00',2,81.88,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10741,'AROUT',4,'1997-11-14 00:00:00','1997-11-28 00:00:00','1997-11-18 00:00:00',3,10.96,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10742,'BOTTM',3,'1997-11-14 00:00:00','1997-12-12 00:00:00','1997-11-18 00:00:00',3,243.73,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10743,'AROUT',1,'1997-11-17 00:00:00','1997-12-15 00:00:00','1997-11-21 00:00:00',2,23.72,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10744,'VAFFE',6,'1997-11-17 00:00:00','1997-12-15 00:00:00','1997-11-24 00:00:00',1,69.19,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10745,'QUICK',9,'1997-11-18 00:00:00','1997-12-16 00:00:00','1997-11-27 00:00:00',1,3.52,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10746,'CHOPS',1,'1997-11-19 00:00:00','1997-12-17 00:00:00','1997-11-21 00:00:00',3,31.43,'Chop-suey Chinese','Hauptstr. 31','Bern','','3012','Switzerland'),

(10747,'PICCO',6,'1997-11-19 00:00:00','1997-12-17 00:00:00','1997-11-26 00:00:00',1,117.33,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10748,'SAVEA',3,'1997-11-20 00:00:00','1997-12-18 00:00:00','1997-11-28 00:00:00',1,232.55,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10749,'ISLAT',4,'1997-11-20 00:00:00','1997-12-18 00:00:00','1997-12-19 00:00:00',2,61.53,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10750,'WARTH',9,'1997-11-21 00:00:00','1997-12-19 00:00:00','1997-11-24 00:00:00',1,79.3,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10751,'RICSU',3,'1997-11-24 00:00:00','1997-12-22 00:00:00','1997-12-03 00:00:00',3,130.79,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(10752,'NORTS',2,'1997-11-24 00:00:00','1997-12-22 00:00:00','1997-11-28 00:00:00',3,1.39,'North/South','South House 300 Queensbridge','London','','SW7 1RZ','UK'),

(10753,'FRANS',3,'1997-11-25 00:00:00','1997-12-23 00:00:00','1997-11-27 00:00:00',1,7.7,'Franchi S.p.A.','Via Monte Bianco 34','Torino','','10100','Italy'),

(10754,'MAGAA',6,'1997-11-25 00:00:00','1997-12-23 00:00:00','1997-11-27 00:00:00',3,2.38,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10755,'BONAP',4,'1997-11-26 00:00:00','1997-12-24 00:00:00','1997-11-28 00:00:00',2,16.71,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10756,'SPLIR',8,'1997-11-27 00:00:00','1997-12-25 00:00:00','1997-12-02 00:00:00',2,73.21,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10757,'SAVEA',6,'1997-11-27 00:00:00','1997-12-25 00:00:00','1997-12-15 00:00:00',1,8.19,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10758,'RICSU',3,'1997-11-28 00:00:00','1997-12-26 00:00:00','1997-12-04 00:00:00',3,138.17,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(10759,'ANATR',3,'1997-11-28 00:00:00','1997-12-26 00:00:00','1997-12-12 00:00:00',3,11.99,'Ana Trujillo Emparedados y helados','Avda. de la Constituci n 2222','M xico D.F.','','5021','Mexico'),

(10760,'MAISD',4,'1997-12-01 00:00:00','1997-12-29 00:00:00','1997-12-10 00:00:00',1,155.64,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles','','B-1180','Belgium'),

(10761,'RATTC',5,'1997-12-02 00:00:00','1997-12-30 00:00:00','1997-12-08 00:00:00',2,18.66,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10762,'FOLKO',3,'1997-12-02 00:00:00','1997-12-30 00:00:00','1997-12-09 00:00:00',1,328.74,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10763,'FOLIG',3,'1997-12-03 00:00:00','1997-12-31 00:00:00','1997-12-08 00:00:00',3,37.35,'Folies gourmandes','184, chauss e de Tournai','Lille','','59000','France'),

(10764,'ERNSH',6,'1997-12-03 00:00:00','1997-12-31 00:00:00','1997-12-08 00:00:00',3,145.45,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10765,'QUICK',3,'1997-12-04 00:00:00','1998-01-01 00:00:00','1997-12-09 00:00:00',3,42.74,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10766,'OTTIK',4,'1997-12-05 00:00:00','1998-01-02 00:00:00','1997-12-09 00:00:00',1,157.55,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(10767,'SUPRD',4,'1997-12-05 00:00:00','1998-01-02 00:00:00','1997-12-15 00:00:00',3,1.59,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10768,'AROUT',3,'1997-12-08 00:00:00','1998-01-05 00:00:00','1997-12-15 00:00:00',2,146.32,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10769,'VAFFE',3,'1997-12-08 00:00:00','1998-01-05 00:00:00','1997-12-12 00:00:00',1,65.06,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10770,'HANAR',8,'1997-12-09 00:00:00','1998-01-06 00:00:00','1997-12-17 00:00:00',3,5.32,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10771,'ERNSH',9,'1997-12-10 00:00:00','1998-01-07 00:00:00','1998-01-02 00:00:00',2,11.19,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10772,'LEHMS',3,'1997-12-10 00:00:00','1998-01-07 00:00:00','1997-12-19 00:00:00',2,91.28,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10773,'ERNSH',1,'1997-12-11 00:00:00','1998-01-08 00:00:00','1997-12-16 00:00:00',3,96.43,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10774,'FOLKO',4,'1997-12-11 00:00:00','1997-12-25 00:00:00','1997-12-12 00:00:00',1,48.2,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10775,'THECR',7,'1997-12-12 00:00:00','1998-01-09 00:00:00','1997-12-26 00:00:00',1,20.25,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'),

(10776,'ERNSH',1,'1997-12-15 00:00:00','1998-01-12 00:00:00','1997-12-18 00:00:00',3,351.53,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10777,'GOURL',7,'1997-12-15 00:00:00','1997-12-29 00:00:00','1998-01-21 00:00:00',2,3.01,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(10778,'BERGS',3,'1997-12-16 00:00:00','1998-01-13 00:00:00','1997-12-24 00:00:00',1,6.79,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10779,'MORGK',3,'1997-12-16 00:00:00','1998-01-13 00:00:00','1998-01-14 00:00:00',2,58.13,'Morgenstern Gesundkost','Heerstr. 22','Leipzig','','4179','Germany'),

(10780,'LILAS',2,'1997-12-16 00:00:00','1997-12-30 00:00:00','1997-12-25 00:00:00',1,42.13,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10781,'WARTH',2,'1997-12-17 00:00:00','1998-01-14 00:00:00','1997-12-19 00:00:00',3,73.16,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(10782,'CACTU',9,'1997-12-17 00:00:00','1998-01-14 00:00:00','1997-12-22 00:00:00',3,1.1,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires','','1010','Argentina'),

(10783,'HANAR',4,'1997-12-18 00:00:00','1998-01-15 00:00:00','1997-12-19 00:00:00',2,124.98,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10784,'MAGAA',4,'1997-12-18 00:00:00','1998-01-15 00:00:00','1997-12-22 00:00:00',3,70.09,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10785,'GROSR',1,'1997-12-18 00:00:00','1998-01-15 00:00:00','1997-12-24 00:00:00',3,1.51,'GROSELLA-Restaurante','5 Ave. Los Palos Grandes','Caracas','DF','1081','Venezuela'),

(10786,'QUEEN',8,'1997-12-19 00:00:00','1998-01-16 00:00:00','1997-12-23 00:00:00',1,110.87,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10787,'LAMAI',2,'1997-12-19 00:00:00','1998-01-02 00:00:00','1997-12-26 00:00:00',1,249.93,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10788,'QUICK',1,'1997-12-22 00:00:00','1998-01-19 00:00:00','1998-01-19 00:00:00',2,42.7,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10789,'FOLIG',1,'1997-12-22 00:00:00','1998-01-19 00:00:00','1997-12-31 00:00:00',2,100.6,'Folies gourmandes','184, chauss e de Tournai','Lille','','59000','France'),

(10790,'GOURL',6,'1997-12-22 00:00:00','1998-01-19 00:00:00','1997-12-26 00:00:00',1,28.23,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(10791,'FRANK',6,'1997-12-23 00:00:00','1998-01-20 00:00:00','1998-01-01 00:00:00',2,16.85,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10792,'WOLZA',1,'1997-12-23 00:00:00','1998-01-20 00:00:00','1997-12-31 00:00:00',3,23.79,'Wolski Zajazd','ul. Filtrowa 68','Warszawa','','01-012','Poland'),

(10793,'AROUT',3,'1997-12-24 00:00:00','1998-01-21 00:00:00','1998-01-08 00:00:00',3,4.52,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10794,'QUEDE',6,'1997-12-24 00:00:00','1998-01-21 00:00:00','1998-01-02 00:00:00',1,21.49,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10795,'ERNSH',8,'1997-12-24 00:00:00','1998-01-21 00:00:00','1998-01-20 00:00:00',2,126.66,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10796,'HILAA',3,'1997-12-25 00:00:00','1998-01-22 00:00:00','1998-01-14 00:00:00',1,26.52,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10797,'DRACD',7,'1997-12-25 00:00:00','1998-01-22 00:00:00','1998-01-05 00:00:00',2,33.35,'Drachenblut Delikatessen','Walserweg 21','Aachen','','52066','Germany'),

(10798,'ISLAT',2,'1997-12-26 00:00:00','1998-01-23 00:00:00','1998-01-05 00:00:00',1,2.33,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10799,'KOENE',9,'1997-12-26 00:00:00','1998-02-06 00:00:00','1998-01-05 00:00:00',3,30.76,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10800,'SEVES',1,'1997-12-26 00:00:00','1998-01-23 00:00:00','1998-01-05 00:00:00',3,137.44,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10801,'BOLID',4,'1997-12-29 00:00:00','1998-01-26 00:00:00','1997-12-31 00:00:00',2,97.09,'B lido Comidas preparadas','C/ Araquil, 67','Madrid','','28023','Spain'),

(10802,'SIMOB',4,'1997-12-29 00:00:00','1998-01-26 00:00:00','1998-01-02 00:00:00',2,257.26,'Simons bistro','Vinb ltet 34','Kobenhavn','','1734','Denmark'),

(10803,'WELLI',4,'1997-12-30 00:00:00','1998-01-27 00:00:00','1998-01-06 00:00:00',1,55.23,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10804,'SEVES',6,'1997-12-30 00:00:00','1998-01-27 00:00:00','1998-01-07 00:00:00',2,27.33,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10805,'THEBI',2,'1997-12-30 00:00:00','1998-01-27 00:00:00','1998-01-09 00:00:00',3,237.34,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'),

(10806,'VICTE',3,'1997-12-31 00:00:00','1998-01-28 00:00:00','1998-01-05 00:00:00',2,22.11,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10807,'FRANS',4,'1997-12-31 00:00:00','1998-01-28 00:00:00','1998-01-30 00:00:00',1,1.36,'Franchi S.p.A.','Via Monte Bianco 34','Torino','','10100','Italy'),

(10808,'OLDWO',2,'1998-01-01 00:00:00','1998-01-29 00:00:00','1998-01-09 00:00:00',3,45.53,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10809,'WELLI',7,'1998-01-01 00:00:00','1998-01-29 00:00:00','1998-01-07 00:00:00',1,4.87,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10810,'LAUGB',2,'1998-01-01 00:00:00','1998-01-29 00:00:00','1998-01-07 00:00:00',3,4.33,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'),

(10811,'LINOD',8,'1998-01-02 00:00:00','1998-01-30 00:00:00','1998-01-08 00:00:00',1,31.22,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10812,'REGGC',5,'1998-01-02 00:00:00','1998-01-30 00:00:00','1998-01-12 00:00:00',1,59.78,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10813,'RICAR',1,'1998-01-05 00:00:00','1998-02-02 00:00:00','1998-01-09 00:00:00',1,47.38,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10814,'VICTE',3,'1998-01-05 00:00:00','1998-02-02 00:00:00','1998-01-14 00:00:00',3,130.94,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10815,'SAVEA',2,'1998-01-05 00:00:00','1998-02-02 00:00:00','1998-01-14 00:00:00',3,14.62,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10816,'GREAL',4,'1998-01-06 00:00:00','1998-02-03 00:00:00','1998-02-04 00:00:00',2,719.78,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(10817,'KOENE',3,'1998-01-06 00:00:00','1998-01-20 00:00:00','1998-01-13 00:00:00',2,306.07,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10818,'MAGAA',7,'1998-01-07 00:00:00','1998-02-04 00:00:00','1998-01-12 00:00:00',3,65.48,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10819,'CACTU',2,'1998-01-07 00:00:00','1998-02-04 00:00:00','1998-01-16 00:00:00',3,19.76,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires','','1010','Argentina'),

(10820,'RATTC',3,'1998-01-07 00:00:00','1998-02-04 00:00:00','1998-01-13 00:00:00',2,37.52,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10821,'SPLIR',1,'1998-01-08 00:00:00','1998-02-05 00:00:00','1998-01-15 00:00:00',1,36.68,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10822,'TRAIH',6,'1998-01-08 00:00:00','1998-02-05 00:00:00','1998-01-16 00:00:00',3,7,'Trail\'s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'),

(10823,'LILAS',5,'1998-01-09 00:00:00','1998-02-06 00:00:00','1998-01-13 00:00:00',2,163.97,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10824,'FOLKO',8,'1998-01-09 00:00:00','1998-02-06 00:00:00','1998-01-30 00:00:00',1,1.23,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10825,'DRACD',1,'1998-01-09 00:00:00','1998-02-06 00:00:00','1998-01-14 00:00:00',1,79.25,'Drachenblut Delikatessen','Walserweg 21','Aachen','','52066','Germany'),

(10826,'BLONP',6,'1998-01-12 00:00:00','1998-02-09 00:00:00','1998-02-06 00:00:00',1,7.09,'Blondel p re et fils','24, place Kl ber','Strasbourg','','67000','France'),

(10827,'BONAP',1,'1998-01-12 00:00:00','1998-01-26 00:00:00','1998-02-06 00:00:00',2,63.54,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10828,'RANCH',9,'1998-01-13 00:00:00','1998-01-27 00:00:00','1998-02-04 00:00:00',1,90.85,'Rancho grande','Av. del Libertador 900','Buenos Aires','','1010','Argentina'),

(10829,'ISLAT',9,'1998-01-13 00:00:00','1998-02-10 00:00:00','1998-01-23 00:00:00',1,154.72,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10830,'TRADH',4,'1998-01-13 00:00:00','1998-02-24 00:00:00','1998-01-21 00:00:00',2,81.83,'Tradi ao Hipermercados','Av. In s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'),

(10831,'SANTG',3,'1998-01-14 00:00:00','1998-02-11 00:00:00','1998-01-23 00:00:00',2,72.19,'Sant Gourmet','Erling Skakkes gate 78','Stavern','','4110','Norway'),

(10832,'LAMAI',2,'1998-01-14 00:00:00','1998-02-11 00:00:00','1998-01-19 00:00:00',2,43.26,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10833,'OTTIK',6,'1998-01-15 00:00:00','1998-02-12 00:00:00','1998-01-23 00:00:00',2,71.49,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(10834,'TRADH',1,'1998-01-15 00:00:00','1998-02-12 00:00:00','1998-01-19 00:00:00',3,29.78,'Tradi ao Hipermercados','Av. In s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'),

(10835,'ALFKI',1,'1998-01-15 00:00:00','1998-02-12 00:00:00','1998-01-21 00:00:00',3,69.53,'Alfred\'s Futterkiste','Obere Str. 57','Berlin','','12209','Germany'),

(10836,'ERNSH',7,'1998-01-16 00:00:00','1998-02-13 00:00:00','1998-01-21 00:00:00',1,411.88,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10837,'BERGS',9,'1998-01-16 00:00:00','1998-02-13 00:00:00','1998-01-23 00:00:00',3,13.32,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10838,'LINOD',3,'1998-01-19 00:00:00','1998-02-16 00:00:00','1998-01-23 00:00:00',3,59.28,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10839,'TRADH',3,'1998-01-19 00:00:00','1998-02-16 00:00:00','1998-01-22 00:00:00',3,35.43,'Tradi ao Hipermercados','Av. In s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'),

(10840,'LINOD',4,'1998-01-19 00:00:00','1998-03-02 00:00:00','1998-02-16 00:00:00',2,2.71,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10841,'SUPRD',5,'1998-01-20 00:00:00','1998-02-17 00:00:00','1998-01-29 00:00:00',2,424.3,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10842,'TORTU',1,'1998-01-20 00:00:00','1998-02-17 00:00:00','1998-01-29 00:00:00',3,54.42,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10843,'VICTE',4,'1998-01-21 00:00:00','1998-02-18 00:00:00','1998-01-26 00:00:00',2,9.26,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10844,'PICCO',8,'1998-01-21 00:00:00','1998-02-18 00:00:00','1998-01-26 00:00:00',2,25.22,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(10845,'QUICK',8,'1998-01-21 00:00:00','1998-02-04 00:00:00','1998-01-30 00:00:00',1,212.98,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10846,'SUPRD',2,'1998-01-22 00:00:00','1998-03-05 00:00:00','1998-01-23 00:00:00',3,56.46,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10847,'SAVEA',4,'1998-01-22 00:00:00','1998-02-05 00:00:00','1998-02-10 00:00:00',3,487.57,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10848,'CONSH',7,'1998-01-23 00:00:00','1998-02-20 00:00:00','1998-01-29 00:00:00',2,38.24,'Consolidated Holdings','Berkeley Gardens 12 Brewery','London','','WX1 6LT','UK'),

(10849,'KOENE',9,'1998-01-23 00:00:00','1998-02-20 00:00:00','1998-01-30 00:00:00',2,0.56,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10850,'VICTE',1,'1998-01-23 00:00:00','1998-03-06 00:00:00','1998-01-30 00:00:00',1,49.19,'Victuailles en stock','2, rue du Commerce','Lyon','','69004','France'),

(10851,'RICAR',5,'1998-01-26 00:00:00','1998-02-23 00:00:00','1998-02-02 00:00:00',1,160.55,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10852,'RATTC',8,'1998-01-26 00:00:00','1998-02-09 00:00:00','1998-01-30 00:00:00',1,174.05,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10853,'BLAUS',9,'1998-01-27 00:00:00','1998-02-24 00:00:00','1998-02-03 00:00:00',2,53.83,'Blauer See Delikatessen','Forsterstr. 57','Mannheim','','68306','Germany'),

(10854,'ERNSH',3,'1998-01-27 00:00:00','1998-02-24 00:00:00','1998-02-05 00:00:00',2,100.22,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10855,'OLDWO',3,'1998-01-27 00:00:00','1998-02-24 00:00:00','1998-02-04 00:00:00',1,170.97,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10856,'ANTON',3,'1998-01-28 00:00:00','1998-02-25 00:00:00','1998-02-10 00:00:00',2,58.43,'Antonio Moreno Taquer a','Mataderos 2312','M xico D.F.','','5023','Mexico'),

(10857,'BERGS',8,'1998-01-28 00:00:00','1998-02-25 00:00:00','1998-02-06 00:00:00',2,188.85,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10858,'LACOR',2,'1998-01-29 00:00:00','1998-02-26 00:00:00','1998-02-03 00:00:00',1,52.51,'La corne d\'abondance','67, avenue de l\'Europe','Versailles','','78000','France'),

(10859,'FRANK',1,'1998-01-29 00:00:00','1998-02-26 00:00:00','1998-02-02 00:00:00',2,76.1,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10860,'FRANR',3,'1998-01-29 00:00:00','1998-02-26 00:00:00','1998-02-04 00:00:00',3,19.26,'France restauration','54, rue Royale','Nantes','','44000','France'),

(10861,'WHITC',4,'1998-01-30 00:00:00','1998-02-27 00:00:00','1998-02-17 00:00:00',2,14.93,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10862,'LEHMS',8,'1998-01-30 00:00:00','1998-03-13 00:00:00','1998-02-02 00:00:00',2,53.23,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10863,'HILAA',4,'1998-02-02 00:00:00','1998-03-02 00:00:00','1998-02-17 00:00:00',2,30.26,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10864,'AROUT',4,'1998-02-02 00:00:00','1998-03-02 00:00:00','1998-02-09 00:00:00',2,3.04,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10865,'QUICK',2,'1998-02-02 00:00:00','1998-02-16 00:00:00','1998-02-12 00:00:00',1,348.14,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10866,'BERGS',5,'1998-02-03 00:00:00','1998-03-03 00:00:00','1998-02-12 00:00:00',1,109.11,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10867,'LONEP',6,'1998-02-03 00:00:00','1998-03-17 00:00:00','1998-02-11 00:00:00',1,1.93,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'),

(10868,'QUEEN',7,'1998-02-04 00:00:00','1998-03-04 00:00:00','1998-02-23 00:00:00',2,191.27,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10869,'SEVES',5,'1998-02-04 00:00:00','1998-03-04 00:00:00','1998-02-09 00:00:00',1,143.28,'Seven Seas Imports','90 Wadhurst Rd.','London','','OX15 4NB','UK'),

(10870,'WOLZA',5,'1998-02-04 00:00:00','1998-03-04 00:00:00','1998-02-13 00:00:00',3,12.04,'Wolski Zajazd','ul. Filtrowa 68','Warszawa','','01-012','Poland'),

(10871,'BONAP',9,'1998-02-05 00:00:00','1998-03-05 00:00:00','1998-02-10 00:00:00',2,112.27,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10872,'GODOS',5,'1998-02-05 00:00:00','1998-03-05 00:00:00','1998-02-09 00:00:00',2,175.32,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(10873,'WILMK',4,'1998-02-06 00:00:00','1998-03-06 00:00:00','1998-02-09 00:00:00',1,0.82,'Wilman Kala','Keskuskatu 45','Helsinki','','21240','Finland'),

(10874,'GODOS',5,'1998-02-06 00:00:00','1998-03-06 00:00:00','1998-02-11 00:00:00',2,19.58,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(10875,'BERGS',4,'1998-02-06 00:00:00','1998-03-06 00:00:00','1998-03-03 00:00:00',2,32.37,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10876,'BONAP',7,'1998-02-09 00:00:00','1998-03-09 00:00:00','1998-02-12 00:00:00',3,60.42,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10877,'RICAR',1,'1998-02-09 00:00:00','1998-03-09 00:00:00','1998-02-19 00:00:00',1,38.06,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(10878,'QUICK',4,'1998-02-10 00:00:00','1998-03-10 00:00:00','1998-02-12 00:00:00',1,46.69,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10879,'WILMK',3,'1998-02-10 00:00:00','1998-03-10 00:00:00','1998-02-12 00:00:00',3,8.5,'Wilman Kala','Keskuskatu 45','Helsinki','','21240','Finland'),

(10880,'FOLKO',7,'1998-02-10 00:00:00','1998-03-24 00:00:00','1998-02-18 00:00:00',1,88.01,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10881,'CACTU',4,'1998-02-11 00:00:00','1998-03-11 00:00:00','1998-02-18 00:00:00',1,2.84,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires','','1010','Argentina'),

(10882,'SAVEA',4,'1998-02-11 00:00:00','1998-03-11 00:00:00','1998-02-20 00:00:00',3,23.1,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10883,'LONEP',8,'1998-02-12 00:00:00','1998-03-12 00:00:00','1998-02-20 00:00:00',3,0.53,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'),

(10884,'LETSS',4,'1998-02-12 00:00:00','1998-03-12 00:00:00','1998-02-13 00:00:00',2,90.97,'Let\'s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'),

(10885,'SUPRD',6,'1998-02-12 00:00:00','1998-03-12 00:00:00','1998-02-18 00:00:00',3,5.64,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10886,'HANAR',1,'1998-02-13 00:00:00','1998-03-13 00:00:00','1998-03-02 00:00:00',1,4.99,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10887,'GALED',8,'1998-02-13 00:00:00','1998-03-13 00:00:00','1998-02-16 00:00:00',3,1.25,'Galer a del gastron mo','Rambla de Catalu a, 23','Barcelona','','8022','Spain'),

(10888,'GODOS',1,'1998-02-16 00:00:00','1998-03-16 00:00:00','1998-02-23 00:00:00',2,51.87,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(10889,'RATTC',9,'1998-02-16 00:00:00','1998-03-16 00:00:00','1998-02-23 00:00:00',3,280.61,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10890,'DUMON',7,'1998-02-16 00:00:00','1998-03-16 00:00:00','1998-02-18 00:00:00',1,32.76,'Du monde entier','67, rue des Cinquante Otages','Nantes','','44000','France'),

(10891,'LEHMS',7,'1998-02-17 00:00:00','1998-03-17 00:00:00','1998-02-19 00:00:00',2,20.37,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10892,'MAISD',4,'1998-02-17 00:00:00','1998-03-17 00:00:00','1998-02-19 00:00:00',2,120.27,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles','','B-1180','Belgium'),

(10893,'KOENE',9,'1998-02-18 00:00:00','1998-03-18 00:00:00','1998-02-20 00:00:00',2,77.78,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(10894,'SAVEA',1,'1998-02-18 00:00:00','1998-03-18 00:00:00','1998-02-20 00:00:00',1,116.13,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10895,'ERNSH',3,'1998-02-18 00:00:00','1998-03-18 00:00:00','1998-02-23 00:00:00',1,162.75,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10896,'MAISD',7,'1998-02-19 00:00:00','1998-03-19 00:00:00','1998-02-27 00:00:00',3,32.45,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles','','B-1180','Belgium'),

(10897,'HUNGO',3,'1998-02-19 00:00:00','1998-03-19 00:00:00','1998-02-25 00:00:00',2,603.54,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10898,'OCEAN',4,'1998-02-20 00:00:00','1998-03-20 00:00:00','1998-03-06 00:00:00',2,1.27,'Oc ano Atl ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires','','1010','Argentina'),

(10899,'LILAS',5,'1998-02-20 00:00:00','1998-03-20 00:00:00','1998-02-26 00:00:00',3,1.21,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10900,'WELLI',1,'1998-02-20 00:00:00','1998-03-20 00:00:00','1998-03-04 00:00:00',2,1.66,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10901,'HILAA',4,'1998-02-23 00:00:00','1998-03-23 00:00:00','1998-02-26 00:00:00',1,62.09,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10902,'FOLKO',1,'1998-02-23 00:00:00','1998-03-23 00:00:00','1998-03-03 00:00:00',1,44.15,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10903,'HANAR',3,'1998-02-24 00:00:00','1998-03-24 00:00:00','1998-03-04 00:00:00',3,36.71,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10904,'WHITC',3,'1998-02-24 00:00:00','1998-03-24 00:00:00','1998-02-27 00:00:00',3,162.95,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(10905,'WELLI',9,'1998-02-24 00:00:00','1998-03-24 00:00:00','1998-03-06 00:00:00',2,13.72,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10906,'WOLZA',4,'1998-02-25 00:00:00','1998-03-11 00:00:00','1998-03-03 00:00:00',3,26.29,'Wolski Zajazd','ul. Filtrowa 68','Warszawa','','01-012','Poland'),

(10907,'SPECD',6,'1998-02-25 00:00:00','1998-03-25 00:00:00','1998-02-27 00:00:00',3,9.19,'Sp cialit s du monde','25, rue Lauriston','Paris','','75016','France'),

(10908,'REGGC',4,'1998-02-26 00:00:00','1998-03-26 00:00:00','1998-03-06 00:00:00',2,32.96,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10909,'SANTG',1,'1998-02-26 00:00:00','1998-03-26 00:00:00','1998-03-10 00:00:00',2,53.05,'Sant Gourmet','Erling Skakkes gate 78','Stavern','','4110','Norway'),

(10910,'WILMK',1,'1998-02-26 00:00:00','1998-03-26 00:00:00','1998-03-04 00:00:00',3,38.11,'Wilman Kala','Keskuskatu 45','Helsinki','','21240','Finland'),

(10911,'GODOS',3,'1998-02-26 00:00:00','1998-03-26 00:00:00','1998-03-05 00:00:00',1,38.19,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(10912,'HUNGO',2,'1998-02-26 00:00:00','1998-03-26 00:00:00','1998-03-18 00:00:00',2,580.91,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10913,'QUEEN',4,'1998-02-26 00:00:00','1998-03-26 00:00:00','1998-03-04 00:00:00',1,33.05,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10914,'QUEEN',6,'1998-02-27 00:00:00','1998-03-27 00:00:00','1998-03-02 00:00:00',1,21.19,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10915,'TORTU',2,'1998-02-27 00:00:00','1998-03-27 00:00:00','1998-03-02 00:00:00',2,3.51,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(10916,'RANCH',1,'1998-02-27 00:00:00','1998-03-27 00:00:00','1998-03-09 00:00:00',2,63.77,'Rancho grande','Av. del Libertador 900','Buenos Aires','','1010','Argentina'),

(10917,'ROMEY',4,'1998-03-02 00:00:00','1998-03-30 00:00:00','1998-03-11 00:00:00',2,8.29,'Romero y tomillo','Gran V a, 1','Madrid','','28001','Spain'),

(10918,'BOTTM',3,'1998-03-02 00:00:00','1998-03-30 00:00:00','1998-03-11 00:00:00',3,48.83,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10919,'LINOD',2,'1998-03-02 00:00:00','1998-03-30 00:00:00','1998-03-04 00:00:00',2,19.8,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10920,'AROUT',4,'1998-03-03 00:00:00','1998-03-31 00:00:00','1998-03-09 00:00:00',2,29.61,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10921,'VAFFE',1,'1998-03-03 00:00:00','1998-04-14 00:00:00','1998-03-09 00:00:00',1,176.48,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10922,'HANAR',5,'1998-03-03 00:00:00','1998-03-31 00:00:00','1998-03-05 00:00:00',3,62.74,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10923,'LAMAI',7,'1998-03-03 00:00:00','1998-04-14 00:00:00','1998-03-13 00:00:00',3,68.26,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(10924,'BERGS',3,'1998-03-04 00:00:00','1998-04-01 00:00:00','1998-04-08 00:00:00',2,151.52,'Berglunds snabbk p','Berguvsv gen 8','Lule ','','S-958 22','Sweden'),

(10925,'HANAR',3,'1998-03-04 00:00:00','1998-04-01 00:00:00','1998-03-13 00:00:00',1,2.27,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10926,'ANATR',4,'1998-03-04 00:00:00','1998-04-01 00:00:00','1998-03-11 00:00:00',3,39.92,'Ana Trujillo Emparedados y helados','Avda. de la Constituci n 2222','M xico D.F.','','5021','Mexico'),

(10927,'LACOR',4,'1998-03-05 00:00:00','1998-04-02 00:00:00','1998-04-08 00:00:00',1,19.79,'La corne d\'abondance','67, avenue de l\'Europe','Versailles','','78000','France'),

(10928,'GALED',1,'1998-03-05 00:00:00','1998-04-02 00:00:00','1998-03-18 00:00:00',1,1.36,'Galer a del gastron mo','Rambla de Catalu a, 23','Barcelona','','8022','Spain'),

(10929,'FRANK',6,'1998-03-05 00:00:00','1998-04-02 00:00:00','1998-03-12 00:00:00',1,33.93,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(10930,'SUPRD',4,'1998-03-06 00:00:00','1998-04-17 00:00:00','1998-03-18 00:00:00',3,15.55,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(10931,'RICSU',4,'1998-03-06 00:00:00','1998-03-20 00:00:00','1998-03-19 00:00:00',2,13.6,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(10932,'BONAP',8,'1998-03-06 00:00:00','1998-04-03 00:00:00','1998-03-24 00:00:00',1,134.64,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10933,'ISLAT',6,'1998-03-06 00:00:00','1998-04-03 00:00:00','1998-03-16 00:00:00',3,54.15,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'),

(10934,'LEHMS',3,'1998-03-09 00:00:00','1998-04-06 00:00:00','1998-03-12 00:00:00',3,32.01,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(10935,'WELLI',4,'1998-03-09 00:00:00','1998-04-06 00:00:00','1998-03-18 00:00:00',3,47.59,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'),

(10936,'GREAL',3,'1998-03-09 00:00:00','1998-04-06 00:00:00','1998-03-18 00:00:00',2,33.68,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(10937,'CACTU',7,'1998-03-10 00:00:00','1998-03-24 00:00:00','1998-03-13 00:00:00',3,31.51,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires','','1010','Argentina'),

(10938,'QUICK',3,'1998-03-10 00:00:00','1998-04-07 00:00:00','1998-03-16 00:00:00',2,31.89,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10939,'MAGAA',2,'1998-03-10 00:00:00','1998-04-07 00:00:00','1998-03-13 00:00:00',2,76.33,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10940,'BONAP',8,'1998-03-11 00:00:00','1998-04-08 00:00:00','1998-03-23 00:00:00',3,19.77,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(10941,'SAVEA',7,'1998-03-11 00:00:00','1998-04-08 00:00:00','1998-03-20 00:00:00',2,400.81,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10942,'REGGC',9,'1998-03-11 00:00:00','1998-04-08 00:00:00','1998-03-18 00:00:00',3,17.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(10943,'BSBEV',4,'1998-03-11 00:00:00','1998-04-08 00:00:00','1998-03-19 00:00:00',2,2.17,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10944,'BOTTM',6,'1998-03-12 00:00:00','1998-03-26 00:00:00','1998-03-13 00:00:00',3,52.92,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10945,'MORGK',4,'1998-03-12 00:00:00','1998-04-09 00:00:00','1998-03-18 00:00:00',1,10.22,'Morgenstern Gesundkost','Heerstr. 22','Leipzig','','4179','Germany'),

(10946,'VAFFE',1,'1998-03-12 00:00:00','1998-04-09 00:00:00','1998-03-19 00:00:00',2,27.2,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10947,'BSBEV',3,'1998-03-13 00:00:00','1998-04-10 00:00:00','1998-03-16 00:00:00',2,3.26,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(10948,'GODOS',3,'1998-03-13 00:00:00','1998-04-10 00:00:00','1998-03-19 00:00:00',3,23.39,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(10949,'BOTTM',2,'1998-03-13 00:00:00','1998-04-10 00:00:00','1998-03-17 00:00:00',3,74.44,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10950,'MAGAA',1,'1998-03-16 00:00:00','1998-04-13 00:00:00','1998-03-23 00:00:00',2,2.5,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo','','24100','Italy'),

(10951,'RICSU',9,'1998-03-16 00:00:00','1998-04-27 00:00:00','1998-04-07 00:00:00',2,30.85,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(10952,'ALFKI',1,'1998-03-16 00:00:00','1998-04-27 00:00:00','1998-03-24 00:00:00',1,40.42,'Alfred\'s Futterkiste','Obere Str. 57','Berlin','','12209','Germany'),

(10953,'AROUT',9,'1998-03-16 00:00:00','1998-03-30 00:00:00','1998-03-25 00:00:00',2,23.72,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(10954,'LINOD',5,'1998-03-17 00:00:00','1998-04-28 00:00:00','1998-03-20 00:00:00',1,27.91,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(10955,'FOLKO',8,'1998-03-17 00:00:00','1998-04-14 00:00:00','1998-03-20 00:00:00',2,3.26,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10956,'BLAUS',6,'1998-03-17 00:00:00','1998-04-28 00:00:00','1998-03-20 00:00:00',2,44.65,'Blauer See Delikatessen','Forsterstr. 57','Mannheim','','68306','Germany'),

(10957,'HILAA',8,'1998-03-18 00:00:00','1998-04-15 00:00:00','1998-03-27 00:00:00',3,105.36,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10958,'OCEAN',7,'1998-03-18 00:00:00','1998-04-15 00:00:00','1998-03-27 00:00:00',2,49.56,'Oc ano Atl ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires','','1010','Argentina'),

(10959,'GOURL',6,'1998-03-18 00:00:00','1998-04-29 00:00:00','1998-03-23 00:00:00',2,4.98,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(10960,'HILAA',3,'1998-03-19 00:00:00','1998-04-02 00:00:00','1998-04-08 00:00:00',1,2.08,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10961,'QUEEN',8,'1998-03-19 00:00:00','1998-04-16 00:00:00','1998-03-30 00:00:00',1,104.47,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(10962,'QUICK',8,'1998-03-19 00:00:00','1998-04-16 00:00:00','1998-03-23 00:00:00',2,275.79,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10963,'FURIB',9,'1998-03-19 00:00:00','1998-04-16 00:00:00','1998-03-26 00:00:00',3,2.7,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa','','1675','Portugal'),

(10964,'SPECD',3,'1998-03-20 00:00:00','1998-04-17 00:00:00','1998-03-24 00:00:00',2,87.38,'Sp cialit s du monde','25, rue Lauriston','Paris','','75016','France'),

(10965,'OLDWO',6,'1998-03-20 00:00:00','1998-04-17 00:00:00','1998-03-30 00:00:00',3,144.38,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(10966,'CHOPS',4,'1998-03-20 00:00:00','1998-04-17 00:00:00','1998-04-08 00:00:00',1,27.19,'Chop-suey Chinese','Hauptstr. 31','Bern','','3012','Switzerland'),

(10967,'TOMSP',2,'1998-03-23 00:00:00','1998-04-20 00:00:00','1998-04-02 00:00:00',2,62.22,'Toms Spezialit ten','Luisenstr. 48','M nster','','44087','Germany'),

(10968,'ERNSH',1,'1998-03-23 00:00:00','1998-04-20 00:00:00','1998-04-01 00:00:00',3,74.6,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10969,'COMMI',1,'1998-03-23 00:00:00','1998-04-20 00:00:00','1998-03-30 00:00:00',2,0.21,'Com rcio Mineiro','Av. dos Lus adas, 23','Sao Paulo','SP','05432-043','Brazil'),

(10970,'BOLID',9,'1998-03-24 00:00:00','1998-04-07 00:00:00','1998-04-24 00:00:00',1,16.16,'B lido Comidas preparadas','C/ Araquil, 67','Madrid','','28023','Spain'),

(10971,'FRANR',2,'1998-03-24 00:00:00','1998-04-21 00:00:00','1998-04-02 00:00:00',2,121.82,'France restauration','54, rue Royale','Nantes','','44000','France'),

(10972,'LACOR',4,'1998-03-24 00:00:00','1998-04-21 00:00:00','1998-03-26 00:00:00',2,0.02,'La corne d\'abondance','67, avenue de l\'Europe','Versailles','','78000','France'),

(10973,'LACOR',6,'1998-03-24 00:00:00','1998-04-21 00:00:00','1998-03-27 00:00:00',2,15.17,'La corne d\'abondance','67, avenue de l\'Europe','Versailles','','78000','France'),

(10974,'SPLIR',3,'1998-03-25 00:00:00','1998-04-08 00:00:00','1998-04-03 00:00:00',3,12.96,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'),

(10975,'BOTTM',1,'1998-03-25 00:00:00','1998-04-22 00:00:00','1998-03-27 00:00:00',3,32.27,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10976,'HILAA',1,'1998-03-25 00:00:00','1998-05-06 00:00:00','1998-04-03 00:00:00',1,37.97,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(10977,'FOLKO',8,'1998-03-26 00:00:00','1998-04-23 00:00:00','1998-04-10 00:00:00',3,208.5,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10978,'MAISD',9,'1998-03-26 00:00:00','1998-04-23 00:00:00','1998-04-23 00:00:00',2,32.82,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles','','B-1180','Belgium'),

(10979,'ERNSH',8,'1998-03-26 00:00:00','1998-04-23 00:00:00','1998-03-31 00:00:00',2,353.07,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10980,'FOLKO',4,'1998-03-27 00:00:00','1998-05-08 00:00:00','1998-04-17 00:00:00',1,1.26,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10981,'HANAR',1,'1998-03-27 00:00:00','1998-04-24 00:00:00','1998-04-02 00:00:00',2,193.37,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(10982,'BOTTM',2,'1998-03-27 00:00:00','1998-04-24 00:00:00','1998-04-08 00:00:00',1,14.01,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(10983,'SAVEA',2,'1998-03-27 00:00:00','1998-04-24 00:00:00','1998-04-06 00:00:00',2,657.54,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10984,'SAVEA',1,'1998-03-30 00:00:00','1998-04-27 00:00:00','1998-04-03 00:00:00',3,211.22,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(10985,'HUNGO',2,'1998-03-30 00:00:00','1998-04-27 00:00:00','1998-04-02 00:00:00',1,91.51,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(10986,'OCEAN',8,'1998-03-30 00:00:00','1998-04-27 00:00:00','1998-04-21 00:00:00',2,217.86,'Oc ano Atl ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires','','1010','Argentina'),

(10987,'EASTC',8,'1998-03-31 00:00:00','1998-04-28 00:00:00','1998-04-06 00:00:00',1,185.48,'Eastern Connection','35 King George','London','','WX3 6FW','UK'),

(10988,'RATTC',3,'1998-03-31 00:00:00','1998-04-28 00:00:00','1998-04-10 00:00:00',2,61.14,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'),

(10989,'QUEDE',2,'1998-03-31 00:00:00','1998-04-28 00:00:00','1998-04-02 00:00:00',1,34.76,'Que Del cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'),

(10990,'ERNSH',2,'1998-04-01 00:00:00','1998-05-13 00:00:00','1998-04-07 00:00:00',3,117.61,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(10991,'QUICK',1,'1998-04-01 00:00:00','1998-04-29 00:00:00','1998-04-07 00:00:00',1,38.51,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10992,'THEBI',1,'1998-04-01 00:00:00','1998-04-29 00:00:00','1998-04-03 00:00:00',3,4.27,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'),

(10993,'FOLKO',7,'1998-04-01 00:00:00','1998-04-29 00:00:00','1998-04-10 00:00:00',3,8.81,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(10994,'VAFFE',2,'1998-04-02 00:00:00','1998-04-16 00:00:00','1998-04-09 00:00:00',3,65.53,'Vaffeljernet','Smagsloget 45',' rhus','','8200','Denmark'),

(10995,'PERIC',1,'1998-04-02 00:00:00','1998-04-30 00:00:00','1998-04-06 00:00:00',3,46,'Pericles Comidas cl sicas','Calle Dr. Jorge Cash 321','M xico D.F.','','5033','Mexico'),

(10996,'QUICK',4,'1998-04-02 00:00:00','1998-04-30 00:00:00','1998-04-10 00:00:00',2,1.12,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(10997,'LILAS',8,'1998-04-03 00:00:00','1998-05-15 00:00:00','1998-04-13 00:00:00',2,73.91,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(10998,'WOLZA',8,'1998-04-03 00:00:00','1998-04-17 00:00:00','1998-04-17 00:00:00',2,20.31,'Wolski Zajazd','ul. Filtrowa 68','Warszawa','','01-012','Poland'),

(10999,'OTTIK',6,'1998-04-03 00:00:00','1998-05-01 00:00:00','1998-04-10 00:00:00',2,96.35,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(11000,'RATTC',2,'1998-04-06 00:00:00','1998-05-04 00:00:00','1998-04-14 00:00:00',3,55.12,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA');

(11001,'FOLKO',2,'1998-04-06 00:00:00','1998-05-04 00:00:00','1998-04-14 00:00:00',2,197.3,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(11002,'SAVEA',4,'1998-04-06 00:00:00','1998-05-04 00:00:00','1998-04-16 00:00:00',1,141.16,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(11003,'THECR',3,'1998-04-06 00:00:00','1998-05-04 00:00:00','1998-04-08 00:00:00',3,14.91,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'),

(11004,'MAISD',3,'1998-04-07 00:00:00','1998-05-05 00:00:00','1998-04-20 00:00:00',1,44.84,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles','','B-1180','Belgium'),

(11005,'WILMK',2,'1998-04-07 00:00:00','1998-05-05 00:00:00','1998-04-10 00:00:00',1,0.75,'Wilman Kala','Keskuskatu 45','Helsinki','','21240','Finland'),

(11006,'GREAL',3,'1998-04-07 00:00:00','1998-05-05 00:00:00','1998-04-15 00:00:00',2,25.19,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(11007,'PRINI',8,'1998-04-08 00:00:00','1998-05-06 00:00:00','1998-04-13 00:00:00',2,202.24,'Princesa Isabel Vinhos','Estrada da sa de n. 58','Lisboa','','1756','Portugal'),

(11008,'ERNSH',7,'1998-04-08 00:00:00','1998-05-06 00:00:00','0000-00-00 00:00:00',3,79.46,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(11009,'GODOS',2,'1998-04-08 00:00:00','1998-05-06 00:00:00','1998-04-10 00:00:00',1,59.11,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(11010,'REGGC',2,'1998-04-09 00:00:00','1998-05-07 00:00:00','1998-04-21 00:00:00',2,28.71,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(11011,'ALFKI',3,'1998-04-09 00:00:00','1998-05-07 00:00:00','1998-04-13 00:00:00',1,1.21,'Alfred\'s Futterkiste','Obere Str. 57','Berlin','','12209','Germany'),

(11012,'FRANK',1,'1998-04-09 00:00:00','1998-04-23 00:00:00','1998-04-17 00:00:00',3,242.95,'Frankenversand','Berliner Platz 43','M nchen','','80805','Germany'),

(11013,'ROMEY',2,'1998-04-09 00:00:00','1998-05-07 00:00:00','1998-04-10 00:00:00',1,32.99,'Romero y tomillo','Gran V a, 1','Madrid','','28001','Spain'),

(11014,'LINOD',2,'1998-04-10 00:00:00','1998-05-08 00:00:00','1998-04-15 00:00:00',3,23.6,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(11015,'SANTG',2,'1998-04-10 00:00:00','1998-04-24 00:00:00','1998-04-20 00:00:00',2,4.62,'Sant Gourmet','Erling Skakkes gate 78','Stavern','','4110','Norway'),

(11016,'AROUT',9,'1998-04-10 00:00:00','1998-05-08 00:00:00','1998-04-13 00:00:00',2,33.8,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'),

(11017,'ERNSH',9,'1998-04-13 00:00:00','1998-05-11 00:00:00','1998-04-20 00:00:00',2,754.26,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(11018,'LONEP',4,'1998-04-13 00:00:00','1998-05-11 00:00:00','1998-04-16 00:00:00',2,11.65,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'),

(11019,'RANCH',6,'1998-04-13 00:00:00','1998-05-11 00:00:00','0000-00-00 00:00:00',3,3.17,'Rancho grande','Av. del Libertador 900','Buenos Aires','','1010','Argentina'),

(11020,'OTTIK',2,'1998-04-14 00:00:00','1998-05-12 00:00:00','1998-04-16 00:00:00',2,43.3,'Ottilies K seladen','Mehrheimerstr. 369','K ln','','50739','Germany'),

(11021,'QUICK',3,'1998-04-14 00:00:00','1998-05-12 00:00:00','1998-04-21 00:00:00',1,297.18,'QUICK-Stop','Taucherstra e 10','Cunewalde','','1307','Germany'),

(11022,'HANAR',9,'1998-04-14 00:00:00','1998-05-12 00:00:00','1998-05-04 00:00:00',2,6.27,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(11023,'BSBEV',1,'1998-04-14 00:00:00','1998-04-28 00:00:00','1998-04-24 00:00:00',2,123.83,'B\'s Beverages','Fauntleroy Circus','London','','EC2 5NT','UK'),

(11024,'EASTC',4,'1998-04-15 00:00:00','1998-05-13 00:00:00','1998-04-20 00:00:00',1,74.36,'Eastern Connection','35 King George','London','','WX3 6FW','UK'),

(11025,'WARTH',6,'1998-04-15 00:00:00','1998-05-13 00:00:00','1998-04-24 00:00:00',3,29.17,'Wartian Herkku','Torikatu 38','Oulu','','90110','Finland'),

(11026,'FRANS',4,'1998-04-15 00:00:00','1998-05-13 00:00:00','1998-04-28 00:00:00',1,47.09,'Franchi S.p.A.','Via Monte Bianco 34','Torino','','10100','Italy'),

(11027,'BOTTM',1,'1998-04-16 00:00:00','1998-05-14 00:00:00','1998-04-20 00:00:00',1,52.52,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(11028,'KOENE',2,'1998-04-16 00:00:00','1998-05-14 00:00:00','1998-04-22 00:00:00',1,29.59,'K niglich Essen','Maubelstr. 90','Brandenburg','','14776','Germany'),

(11029,'CHOPS',4,'1998-04-16 00:00:00','1998-05-14 00:00:00','1998-04-27 00:00:00',1,47.84,'Chop-suey Chinese','Hauptstr. 31','Bern','','3012','Switzerland'),

(11030,'SAVEA',7,'1998-04-17 00:00:00','1998-05-15 00:00:00','1998-04-27 00:00:00',2,830.75,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(11031,'SAVEA',6,'1998-04-17 00:00:00','1998-05-15 00:00:00','1998-04-24 00:00:00',2,227.22,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(11032,'WHITC',2,'1998-04-17 00:00:00','1998-05-15 00:00:00','1998-04-23 00:00:00',3,606.19,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(11033,'RICSU',7,'1998-04-17 00:00:00','1998-05-15 00:00:00','1998-04-23 00:00:00',3,84.74,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(11034,'OLDWO',8,'1998-04-20 00:00:00','1998-06-01 00:00:00','1998-04-27 00:00:00',1,40.32,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'),

(11035,'SUPRD',2,'1998-04-20 00:00:00','1998-05-18 00:00:00','1998-04-24 00:00:00',2,0.17,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(11036,'DRACD',8,'1998-04-20 00:00:00','1998-05-18 00:00:00','1998-04-22 00:00:00',3,149.47,'Drachenblut Delikatessen','Walserweg 21','Aachen','','52066','Germany'),

(11037,'GODOS',7,'1998-04-21 00:00:00','1998-05-19 00:00:00','1998-04-27 00:00:00',1,3.2,'Godos Cocina T pica','C/ Romero, 33','Sevilla','','41101','Spain'),

(11038,'SUPRD',1,'1998-04-21 00:00:00','1998-05-19 00:00:00','1998-04-30 00:00:00',2,29.59,'Supr mes d lices','Boulevard Tirou, 255','Charleroi','','B-6000','Belgium'),

(11039,'LINOD',1,'1998-04-21 00:00:00','1998-05-19 00:00:00','0000-00-00 00:00:00',2,65,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'),

(11040,'GREAL',4,'1998-04-22 00:00:00','1998-05-20 00:00:00','0000-00-00 00:00:00',3,18.84,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(11041,'CHOPS',3,'1998-04-22 00:00:00','1998-05-20 00:00:00','1998-04-28 00:00:00',2,48.22,'Chop-suey Chinese','Hauptstr. 31','Bern','','3012','Switzerland'),

(11042,'COMMI',2,'1998-04-22 00:00:00','1998-05-06 00:00:00','1998-05-01 00:00:00',1,29.99,'Com rcio Mineiro','Av. dos Lus adas, 23','Sao Paulo','SP','05432-043','Brazil'),

(11043,'SPECD',5,'1998-04-22 00:00:00','1998-05-20 00:00:00','1998-04-29 00:00:00',2,8.8,'Sp cialit s du monde','25, rue Lauriston','Paris','','75016','France'),

(11044,'WOLZA',4,'1998-04-23 00:00:00','1998-05-21 00:00:00','1998-05-01 00:00:00',1,8.72,'Wolski Zajazd','ul. Filtrowa 68','Warszawa','','01-012','Poland'),

(11045,'BOTTM',6,'1998-04-23 00:00:00','1998-05-21 00:00:00','0000-00-00 00:00:00',2,70.58,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(11046,'WANDK',8,'1998-04-23 00:00:00','1998-05-21 00:00:00','1998-04-24 00:00:00',2,71.64,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart','','70563','Germany'),

(11047,'EASTC',7,'1998-04-24 00:00:00','1998-05-22 00:00:00','1998-05-01 00:00:00',3,46.62,'Eastern Connection','35 King George','London','','WX3 6FW','UK'),

(11048,'BOTTM',7,'1998-04-24 00:00:00','1998-05-22 00:00:00','1998-04-30 00:00:00',3,24.12,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'),

(11049,'GOURL',3,'1998-04-24 00:00:00','1998-05-22 00:00:00','1998-05-04 00:00:00',1,8.34,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'),

(11050,'FOLKO',8,'1998-04-27 00:00:00','1998-05-25 00:00:00','1998-05-05 00:00:00',2,59.41,'Folk och f HB',' kergatan 24','Br cke','','S-844 67','Sweden'),

(11051,'LAMAI',7,'1998-04-27 00:00:00','1998-05-25 00:00:00','0000-00-00 00:00:00',3,2.79,'La maison d\'Asie','1 rue Alsace-Lorraine','Toulouse','','31000','France'),

(11052,'HANAR',3,'1998-04-27 00:00:00','1998-05-25 00:00:00','1998-05-01 00:00:00',1,67.26,'Hanari Carnes','Rua do Pa o, 67','Rio de Janeiro','RJ','05454-876','Brazil'),

(11053,'PICCO',2,'1998-04-27 00:00:00','1998-05-25 00:00:00','1998-04-29 00:00:00',2,53.05,'Piccolo und mehr','Geislweg 14','Salzburg','','5020','Austria'),

(11054,'CACTU',8,'1998-04-28 00:00:00','1998-05-26 00:00:00','0000-00-00 00:00:00',1,0.33,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires','','1010','Argentina'),

(11055,'HILAA',7,'1998-04-28 00:00:00','1998-05-26 00:00:00','1998-05-05 00:00:00',2,120.92,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist bal','T chira','5022','Venezuela'),

(11056,'EASTC',8,'1998-04-28 00:00:00','1998-05-12 00:00:00','1998-05-01 00:00:00',2,278.96,'Eastern Connection','35 King George','London','','WX3 6FW','UK'),

(11057,'NORTS',3,'1998-04-29 00:00:00','1998-05-27 00:00:00','1998-05-01 00:00:00',3,4.13,'North/South','South House 300 Queensbridge','London','','SW7 1RZ','UK'),

(11058,'BLAUS',9,'1998-04-29 00:00:00','1998-05-27 00:00:00','0000-00-00 00:00:00',3,31.14,'Blauer See Delikatessen','Forsterstr. 57','Mannheim','','68306','Germany'),

(11059,'RICAR',2,'1998-04-29 00:00:00','1998-06-10 00:00:00','0000-00-00 00:00:00',2,85.8,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'),

(11060,'FRANS',2,'1998-04-30 00:00:00','1998-05-28 00:00:00','1998-05-04 00:00:00',2,10.98,'Franchi S.p.A.','Via Monte Bianco 34','Torino','','10100','Italy'),

(11061,'GREAL',4,'1998-04-30 00:00:00','1998-06-11 00:00:00','0000-00-00 00:00:00',3,14.01,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'),

(11062,'REGGC',4,'1998-04-30 00:00:00','1998-05-28 00:00:00','0000-00-00 00:00:00',2,29.93,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia','','42100','Italy'),

(11063,'HUNGO',3,'1998-04-30 00:00:00','1998-05-28 00:00:00','1998-05-06 00:00:00',2,81.73,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork','','Ireland'),

(11064,'SAVEA',1,'1998-05-01 00:00:00','1998-05-29 00:00:00','1998-05-04 00:00:00',1,30.09,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'),

(11065,'LILAS',8,'1998-05-01 00:00:00','1998-05-29 00:00:00','0000-00-00 00:00:00',1,12.91,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(11066,'WHITC',7,'1998-05-01 00:00:00','1998-05-29 00:00:00','1998-05-04 00:00:00',2,44.72,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'),

(11067,'DRACD',1,'1998-05-04 00:00:00','1998-05-18 00:00:00','1998-05-06 00:00:00',2,7.98,'Drachenblut Delikatessen','Walserweg 21','Aachen','','52066','Germany'),

(11068,'QUEEN',8,'1998-05-04 00:00:00','1998-06-01 00:00:00','0000-00-00 00:00:00',2,81.75,'Queen Cozinha','Alameda dos Can rios, 891','Sao Paulo','SP','05487-020','Brazil'),

(11069,'TORTU',1,'1998-05-04 00:00:00','1998-06-01 00:00:00','1998-05-06 00:00:00',2,15.67,'Tortuga Restaurante','Avda. Azteca 123','M xico D.F.','','5033','Mexico'),

(11070,'LEHMS',2,'1998-05-05 00:00:00','1998-06-02 00:00:00','0000-00-00 00:00:00',1,136,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.','','60528','Germany'),

(11071,'LILAS',1,'1998-05-05 00:00:00','1998-06-02 00:00:00','0000-00-00 00:00:00',1,0.93,'LILA-Supermercado','Carrera 52 con Ave. Bol var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'),

(11072,'ERNSH',4,'1998-05-05 00:00:00','1998-06-02 00:00:00','0000-00-00 00:00:00',2,258.64,'Ernst Handel','Kirchgasse 6','Graz','','8010','Austria'),

(11073,'PERIC',2,'1998-05-05 00:00:00','1998-06-02 00:00:00','0000-00-00 00:00:00',2,24.95,'Pericles Comidas cl sicas','Calle Dr. Jorge Cash 321','M xico D.F.','','5033','Mexico'),

(11074,'SIMOB',7,'1998-05-06 00:00:00','1998-06-03 00:00:00','0000-00-00 00:00:00',2,18.44,'Simons bistro','Vinb ltet 34','Kobenhavn','','1734','Denmark'),

(11075,'RICSU',8,'1998-05-06 00:00:00','1998-06-03 00:00:00','0000-00-00 00:00:00',2,6.19,'Richter Supermarkt','Starenweg 5','Gen ve','','1204','Switzerland'),

(11076,'BONAP',4,'1998-05-06 00:00:00','1998-06-03 00:00:00','0000-00-00 00:00:00',2,38.28,'Bon app\'','12, rue des Bouchers','Marseille','','13008','France'),

(11077,'RATTC',1,'1998-05-06 00:00:00','1998-06-03 00:00:00','0000-00-00 00:00:00',2,8.53,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA');

-- Definition of table `Products`

DROP TABLE IF EXISTS `Products`;

CREATE TABLE `Products` (

`ProductID` int(11) NOT NULL AUTO_INCREMENT,

`ProductName` varchar(40) NOT NULL,

`SupplierID` int(11) DEFAULT NULL,

`CategoryID` int(11) DEFAULT NULL,

`QuantityPerUnit` varchar(20) DEFAULT NULL,

`UnitPrice` double DEFAULT '0',

`UnitsInStock` smallint(6) DEFAULT '0',

`UnitsOnOrder` smallint(6) DEFAULT '0',

`ReorderLevel` smallint(6) DEFAULT '0',

`Discontinued` tinyint(1) NOT NULL DEFAULT '0',

PRIMARY KEY (`ProductID`),

KEY `Products_CategoriesProducts` (`CategoryID`),

KEY `Products_CategoryID` (`CategoryID`),

KEY `Products_ProductName` (`ProductName`),

KEY `Products_SupplierID` (`SupplierID`),

KEY `Products_SuppliersProducts` (`SupplierID`),

CONSTRAINT `FK_Products_Categories` FOREIGN KEY (`CategoryID`) REFERENCES `Categories` (`CategoryID`) ON DELETE NO ACTION ON UPDATE NO ACTION,

CONSTRAINT `FK_Products_Suppliers` FOREIGN KEY (`SupplierID`) REFERENCES `Suppliers` (`SupplierID`) ON DELETE NO ACTION ON UPDATE NO ACTION

) ENGINE=InnoDB AUTO_INCREMENT=78 DEFAULT CHARSET=utf8;

-- Dumping data for table `Products`

INSERT INTO `Products` (`ProductID`,`ProductName`,`SupplierID`,`CategoryID`,`QuantityPerUnit`,`UnitPrice`,`UnitsInStock`,`UnitsOnOrder`,`ReorderLevel`,`Discontinued`) VALUES

(1,'Chai',1,1,'10 boxes x 20 bags',18,39,0,10,0),

(2,'Chang',1,1,'24 - 12 oz bottles',19,17,40,25,0),

(3,'Aniseed Syrup',1,2,'12 - 550 ml bottles',10,13,70,25,0),

(4,'Chef Anton\'s Cajun Seasoning',2,2,'48 - 6 oz jars',22,53,0,0,0),

(5,'Chef Anton\'s Gumbo Mix',2,2,'36 boxes',21.35,0,0,0,0),

(6,'Grandma\'s Boysenberry Spread',3,2,'12 - 8 oz jars',25,120,0,25,0),

(7,'Uncle Bob\'s Organic Dried Pears',3,7,'12 - 1 lb pkgs.',30,15,0,10,0),

(8,'Northwoods Cranberry Sauce',3,2,'12 - 12 oz jars',40,6,0,0,0),

(9,'Mishi Kobe Niku',4,6,'18 - 500 g pkgs.',97,29,0,0,0),

(10,'Ikura',4,8,'12 - 200 ml jars',31,31,0,0,0),

(11,'Queso Cabrales',5,4,'1 kg pkg.',21,22,30,30,0),

(12,'Queso Manchego La Pastora',5,4,'10 - 500 g pkgs.',38,86,0,0,0),

(13,'Konbu',6,8,'2 kg box',6,24,0,5,0),

(14,'Tofu',6,7,'40 - 100 g pkgs.',23.25,35,0,0,0),

(15,'Genen Shouyu',6,2,'24 - 250 ml bottles',15.5,39,0,5,0),

(16,'Pavlova',7,3,'32 - 500 g boxes',17.45,29,0,10,0),

(17,'Alice Mutton',7,6,'20 - 1 kg tins',39,0,0,0,0),

(18,'Carnarvon Tigers',7,8,'16 kg pkg.',62.5,42,0,0,0),

(19,'Teatime Chocolate Biscuits',8,3,'10 boxes x 12 pieces',9.2,25,0,5,0),

(20,'Sir Rodney\'s Marmalade',8,3,'30 gift boxes',81,40,0,0,0),

(21,'Sir Rodney\'s Scones',8,3,'24 pkgs. x 4 pieces',10,3,40,5,0),

(22,'Gustaf\'s Kn ckebr d',9,5,'24 - 500 g pkgs.',21,104,0,25,0),

(23,'Tunnbr d',9,5,'12 - 250 g pkgs.',9,61,0,25,0),

(24,'Guaran Fant stica',10,1,'12 - 355 ml cans',4.5,20,0,0,0),

(25,'NuNuCa Nu -Nougat-Creme',11,3,'20 - 450 g glasses',14,76,0,30,0),

(26,'Gumb r Gummib rchen',11,3,'100 - 250 g bags',31.23,15,0,0,0),

(27,'Schoggi Schokolade',11,3,'100 - 100 g pieces',43.9,49,0,30,0),

(28,'R ssle Sauerkraut',12,7,'25 - 825 g cans',45.6,26,0,0,0),

(29,'Th ringer Rostbratwurst',12,6,'50 bags x 30 sausgs.',123.79,0,0,0,0),

(30,'Nord-Ost Matjeshering',13,8,'10 - 200 g glasses',25.89,10,0,15,0),

(31,'Gorgonzola Telino',14,4,'12 - 100 g pkgs',12.5,0,70,20,0),

(32,'Mascarpone Fabioli',14,4,'24 - 200 g pkgs.',32,9,40,25,0),

(33,'Geitost',15,4,'500 g',2.5,112,0,20,0),

(34,'Sasquatch Ale',16,1,'24 - 12 oz bottles',14,111,0,15,0),

(35,'Steeleye Stout',16,1,'24 - 12 oz bottles',18,20,0,15,0),

(36,'Inlagd Sill',17,8,'24 - 250 g jars',19,112,0,20,0),

(37,'Gravad lax',17,8,'12 - 500 g pkgs.',26,11,50,25,0),

(38,'C te de Blaye',18,1,'12 - 75 cl bottles',263.5,17,0,15,0),

(39,'Chartreuse verte',18,1,'750 cc per bottle',18,69,0,5,0),

(40,'Boston Crab Meat',19,8,'24 - 4 oz tins',18.4,123,0,30,0),

(41,'Jack\'s New England Clam Chowder',19,8,'12 - 12 oz cans',9.65,85,0,10,0),

(42,'Singaporean Hokkien Fried Mee',20,5,'32 - 1 kg pkgs.',14,26,0,0,0),

(43,'Ipoh Coffee',20,1,'16 - 500 g tins',46,17,10,25,0),

(44,'Gula Malacca',20,2,'20 - 2 kg bags',19.45,27,0,15,0),

(45,'Rogede sild',21,8,'1k pkg.',9.5,5,70,15,0),

(46,'Spegesild',21,8,'4 - 450 g glasses',12,95,0,0,0),

(47,'Zaanse koeken',22,3,'10 - 4 oz boxes',9.5,36,0,0,0),

(48,'Chocolade',22,3,'10 pkgs.',12.75,15,70,25,0),

(49,'Maxilaku',23,3,'24 - 50 g pkgs.',20,10,60,15,0),

(50,'Valkoinen suklaa',23,3,'12 - 100 g bars',16.25,65,0,30,0),

(51,'Manjimup Dried Apples',24,7,'50 - 300 g pkgs.',53,20,0,10,0),

(52,'Filo Mix',24,5,'16 - 2 kg boxes',7,38,0,25,0),

(53,'Perth Pasties',24,6,'48 pieces',32.8,0,0,0,0),

(54,'Tourti re',25,6,'16 pies',7.45,21,0,10,0),

(55,'P t chinois',25,6,'24 boxes x 2 pies',24,115,0,20,0),

(56,'Gnocchi di nonna Alice',26,5,'24 - 250 g pkgs.',38,21,10,30,0),

(57,'Ravioli Angelo',26,5,'24 - 250 g pkgs.',19.5,36,0,20,0),

(58,'Escargots de Bourgogne',27,8,'24 pieces',13.25,62,0,20,0),

(59,'Raclette Courdavault',28,4,'5 kg pkg.',55,79,0,0,0),

(60,'Camembert Pierrot',28,4,'15 - 300 g rounds',34,19,0,0,0),

(61,'Sirop d\' rable',29,2,'24 - 500 ml bottles',28.5,113,0,25,0),

(62,'Tarte au sucre',29,3,'48 pies',49.3,17,0,0,0),

(63,'Vegie-spread',7,2,'15 - 625 g jars',43.9,24,0,5,0),

(64,'Wimmers gute Semmelkn del',12,5,'20 bags x 4 pieces',33.25,22,80,30,0),

(65,'Louisiana Fiery Hot Pepper Sauce',2,2,'32 - 8 oz bottles',21.05,76,0,0,0),

(66,'Louisiana Hot Spiced Okra',2,2,'24 - 8 oz jars',17,4,100,20,0),

(67,'Laughing Lumberjack Lager',16,1,'24 - 12 oz bottles',14,52,0,10,0),

(68,'Scottish Longbreads',8,3,'10 boxes x 8 pieces',12.5,6,10,15,0),

(69,'Gudbrandsdalsost',15,4,'10 kg pkg.',36,26,0,15,0),

(70,'Outback Lager',7,1,'24 - 355 ml bottles',15,15,10,30,0),

(71,'Flotemysost',15,4,'10 - 500 g pkgs.',21.5,26,0,0,0),

(72,'Mozzarella di Giovanni',14,4,'24 - 200 g pkgs.',34.8,14,0,0,0),

(73,'R d Kaviar',17,8,'24 - 150 g jars',15,101,0,5,0),

(74,'Longlife Tofu',4,7,'5 kg pkg.',10,4,20,5,0),

(75,'Rh nbr u Klosterbier',12,1,'24 - 0.5 l bottles',7.75,125,0,25,0),

(76,'Lakkalik ri',23,1,'500 ml',18,57,0,20,0),

(77,'Original Frankfurter gr ne So e',12,2,'12 boxes',13,32,0,15,0);

-- Definition of table `Region`

DROP TABLE IF EXISTS `Region`;

CREATE TABLE `Region` (

`RegionID` int(11) NOT NULL,

`RegionDescription` char(50) NOT NULL,

PRIMARY KEY (`RegionID`)

) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- Dumping data for table `Region`

INSERT INTO `Region` (`RegionID`,`RegionDescription`) VALUES

(1,'Eastern'),

(2,'Western'),

(3,'Northern'),

(4,'Southern');

-- Definition of table `Shippers`

DROP TABLE IF EXISTS `Shippers`;

CREATE TABLE `Shippers` (

`ShipperID` int(11) NOT NULL AUTO_INCREMENT,

`CompanyName` varchar(40) NOT NULL,

`Phone` varchar(24) DEFAULT NULL,

PRIMARY KEY (`ShipperID`)

) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;

-- Dumping data for table `Shippers`

INSERT INTO `Shippers` (`ShipperID`,`CompanyName`,`Phone`) VALUES

(1,'Speedy Express','(503) 555-9831'),

(2,'United Package','(503) 555-3199'),

(3,'Federal Shipping','(503) 555-9931');

-- Definition of table `Suppliers`

DROP TABLE IF EXISTS `Suppliers`;

CREATE TABLE `Suppliers` (

`SupplierID` int(11) NOT NULL AUTO_INCREMENT,

`CompanyName` varchar(40) NOT NULL,

`ContactName` varchar(30) DEFAULT NULL,

`ContactTitle` varchar(30) DEFAULT NULL,

`Address` varchar(60) DEFAULT NULL,

`City` varchar(15) DEFAULT NULL,

`Region` varchar(15) DEFAULT NULL,

`PostalCode` varchar(10) DEFAULT NULL,

`Country` varchar(15) DEFAULT NULL,

`Phone` varchar(24) DEFAULT NULL,

`Fax` varchar(24) DEFAULT NULL,

`HomePage` longtext,

PRIMARY KEY (`SupplierID`),

KEY `Suppliers_CompanyName` (`CompanyName`),

KEY `Suppliers_PostalCode` (`PostalCode`)

) ENGINE=InnoDB AUTO_INCREMENT=30 DEFAULT CHARSET=utf8;

-- Dumping data for table `Suppliers`

INSERT INTO `Suppliers` (`SupplierID`,`CompanyName`,`ContactName`,`ContactTitle`,`Address`,`City`,`Region`,`PostalCode`,`Country`,`Phone`,`Fax`,`HomePage`) VALUES

(1,'Exotic Liquids','Charlotte Cooper','Purchasing Manager','49 Gilbert St.','London','','EC1 4SD','UK','(171) 555-2222','',''),

(2,'New Orleans Cajun Delights','Shelley Burke','Order Administrator','P.O. Box 78934','New Orleans','LA','70117','USA','(100) 555-4822','','#CAJUN.HTM#'),

(3,'Grandma Kelly\'s Homestead','Regina Murphy','Sales Representative','707 Oxford Rd.','Ann Arbor','MI','48104','USA','(313) 555-5735','(313) 555-3349',''),

(4,'Tokyo Traders','Yoshi Nagase','Marketing Manager','9-8 Sekimai Musashino-shi','Tokyo','','100','Japan','(03) 3555-5011','',''),

(5,'Cooperativa de Quesos \'Las Cabras\'','Antonio del Valle Saavedra','Export Administrator','Calle del Rosal 4','Oviedo','Asturias','33007','Spain','(98) 598 76 54','',''),

(6,'Mayumi\'s','Mayumi Ohno','Marketing Representative','92 Setsuko Chuo-ku','Osaka','','545','Japan','(06) 431-7877','','Mayumi\'s (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/mayumi.htm#'),

(7,'Pavlova, Ltd.','Ian Devling','Marketing Manager','74 Rose St. Moonie Ponds','Melbourne','Victoria','3058','Australia','(03) 444-2343','(03) 444-6588',''),

(8,'Specialty Biscuits, Ltd.','Peter Wilson','Sales Representative','29 King\'s Way','Manchester','','M14 GSD','UK','(161) 555-4448','',''),

(9,'PB Kn ckebr d AB','Lars Peterson','Sales Agent','Kaloadagatan 13','G teborg','','S-345 67','Sweden','031-987 65 43','031-987 65 91',''),

(10,'Refrescos Americanas LTDA','Carlos Diaz','Marketing Manager','Av. das Americanas 12.890','Sao Paulo','','5442','Brazil','(11) 555 4640','',''),

(11,'Heli S waren GmbH & Co. KG','Petra Winkler','Sales Manager','Tiergartenstra e 5','Berlin','','10785','Germany','(010) 9984510','',''),

(12,'Plutzer Lebensmittelgro m rkte AG','Martin Bein','International Marketing Mgr.','Bogenallee 51','Frankfurt','','60439','Germany','(069) 992755','','Plutzer (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/plutzer.htm#'),

(13,'Nord-Ost-Fisch Handelsgesellschaft mbH','Sven Petersen','Coordinator Foreign Markets','Frahmredder 112a','Cuxhaven','','27478','Germany','(04721) 8713','(04721) 8714',''),

(14,'Formaggi Fortini s.r.l.','Elio Rossi','Sales Representative','Viale Dante, 75','Ravenna','','48100','Italy','(0544) 60323','(0544) 60603','#FORMAGGI.HTM#'),

(15,'Norske Meierier','Beate Vileid','Marketing Manager','Hatlevegen 5','Sandvika','','1320','Norway','(0)2-953010','',''),

(16,'Bigfoot Breweries','Cheryl Saylor','Regional Account Rep.','3400 - 8th Avenue Suite 210','Bend','OR','97101','USA','(503) 555-9931','',''),

(17,'Svensk Sj f da AB','Michael Bj rn','Sales Representative','Brovallav gen 231','Stockholm','','S-123 45','Sweden','08-123 45 67','',''),

(18,'Aux joyeux eccl siastiques','Guyl ne Nodier','Sales Manager','203, Rue des Francs-Bourgeois','Paris','','75004','France','(1) 03.83.00.68','(1) 03.83.00.62',''),

(19,'New England Seafood Cannery','Robb Merchant','Wholesale Account Agent','Order Processing Dept. 2100 Paul Revere Blvd.','Boston','MA','2134','USA','(617) 555-3267','(617) 555-3389',''),

(20,'Leka Trading','Chandra Leka','Owner','471 Serangoon Loop, Suite #402','Singapore','','512','Singapore','555-8787','',''),

(21,'Lyngbysild','Niels Petersen','Sales Manager','Lyngbysild Fiskebakken 10','Lyngby','','2800','Denmark','43844108','43844115',''),

(22,'Zaanse Snoepfabriek','Dirk Luchte','Accounting Manager','Verkoop Rijnweg 22','Zaandam','','9999 ZZ','Netherlands','(12345) 1212','(12345) 1210',''),

(23,'Karkki Oy','Anne Heikkonen','Product Manager','Valtakatu 12','Lappeenranta','','53120','Finland','(953) 10956','',''),

(24,'G\'day, Mate','Wendy Mackenzie','Sales Representative','170 Prince Edward Parade Hunter\'s Hill','Sydney','NSW','2042','Australia','(02) 555-5914','(02) 555-4873','G\'day Mate (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/gdaymate.htm#'),

(25,'Ma Maison','Jean-Guy Lauzon','Marketing Manager','2960 Rue St. Laurent','Montr al','Qu bec','H1J 1C3','Canada','(514) 555-9022','',''),

(26,'Pasta Buttini s.r.l.','Giovanni Giudici','Order Administrator','Via dei Gelsomini, 153','Salerno','','84100','Italy','(089) 6547665','(089) 6547667',''),

(27,'Escargots Nouveaux','Marie Delamare','Sales Manager','22, rue H. Voiron','Montceau','','71300','France','85.57.00.07','',''),

(28,'Gai p turage','Eliane Noz','Sales Representative','Bat. B 3, rue des Alpes','Annecy','','74000','France','38.76.98.06','38.76.98.58',''),

(29,'For ts d\' rables','Chantal Goulet','Accounting Manager','148 rue Chasseur','Ste-Hyacinthe','Qu bec','J2S 7S8','Canada','(514) 555-2955','(514) 555-2921','');

-- Definition of table `Territories`

DROP TABLE IF EXISTS `Territories`;

CREATE TABLE `Territories` (

`TerritoryID` varchar(20) NOT NULL,

`TerritoryDescription` char(50) NOT NULL,

`RegionID` int(11) NOT NULL,

PRIMARY KEY (`TerritoryID`),

KEY `FK_Territories_Region` (`RegionID`),

CONSTRAINT `FK_Territories_Region` FOREIGN KEY (`RegionID`) REFERENCES `Region` (`RegionID`) ON DELETE NO ACTION ON UPDATE NO ACTION

) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- Dumping data for table `Territories`

INSERT INTO `Territories` (`TerritoryID`,`TerritoryDescription`,`RegionID`) VALUES

('10019','New York',1),

('10038','New York',1),

('11747','Mellvile',1),

('14450','Fairport',1),

('1581','Westboro',1),

('1730','Bedford',1),

('1833','Georgetow',1),

('19428','Philadelphia',3),

('19713','Neward',1),

('20852','Rockville',1),

('2116','Boston',1),

('2139','Cambridge',1),

('2184','Braintree',1),

('27403','Greensboro',1),

('27511','Cary',1),

('2903','Providence',1),

('29202','Columbia',4),

('30346','Atlanta',4),

('3049','Hollis',3),

('31406','Savannah',4),

('32859','Orlando',4),

('33607','Tampa',4),

('3801','Portsmouth',3),

('40222','Louisville',1),

('44122','Beachwood',3),

('45839','Findlay',3),

('48075','Southfield',3),

('48084','Troy',3),

('48304','Bloomfield Hills',3),

('53404','Racine',3),

('55113','Roseville',3),

('55439','Minneapolis',3),

('60179','Hoffman Estates',2),

('60601','Chicago',2),

('6897','Wilton',1),

('72716','Bentonville',4),

('75234','Dallas',4),

('78759','Austin',4),

('7960','Morristown',1),

('80202','Denver',2),

('80909','Colorado Springs',2),

('85014','Phoenix',2),

('85251','Scottsdale',2),

('8837','Edison',1),

('90405','Santa Monica',2),

('94025','Menlo Park',2),

('94105','San Francisco',2),

('95008','Campbell',2),

('95054','Santa Clara',2),

('95060','Santa Cruz',2),

('98004','Bellevue',2),

('98052','Redmond',2),

('98104','Seattle',2);

/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;

/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;

/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;

/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;

/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;

/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;

/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;

¿Cómo trasladar valores entre procedimientos almacenados en MySQL?

2022-09-07T15:15:00.003-07:00

Para esta demostración estamos usando la base de datos de ejemplo de Northwind en Mysql que consiste en un sistema de pedidos, cuenta con las tablas Customers, Orders, OrderDetails, Products, Categories, Suppliers, Employees, entre otras.

En principio queremos crear un procedimiento que llame a otro procedimiento almacenado, así que vamos a crear dos procedimientos el primero solicita como parametro el código del cliente y contendra la instrucción para eliminar el cliente.

El segundo procedimiento también solicita el codigo del cliente y usa una condición para evaluar si el cliente tiene ordenes y si tiene indicara que no se puede eliminar el cliente pero si no tiene invocará al primer procedimiento almacenado, el código SQL debe de ser:

Procedimiento 1:
Delimiter $$
Create procedure Proc_DeleteCustomer (In Codigo varchar(5))
Begin
Delete from Customers where Customerid=Codigo;
End
$$
Delimiter ;

Procedimiento 2:

Delimiter $$
Create procedure Proc_QuitarCliente (In IDcliente varchar(5))
Begin
If (Select Count(*) from Orders where Customerid=IDCliente)>0 then
Select 'No se puede eliminar a este cliente';
else
Call Proc_DeleteCustomer (IDcliente);
end if;
End
$$
Delimiter ;

Ahora en un segundo ejercicio se necesita crear un procedimiento almacenado que inserte un nuevo registro en la tabla OrderDetails, dentro de los campos que se deben de insetar esta el Precio por Unidad al que se vende el producto pero este precio en vez de ingresarlo se debe de buscar del catalogo de productos, que es la tabla productos, a través de un procedimiento almacenado:

En resumen el primer procedimiento debe buscar el precio del producto y luego trasladarselo al segundo procedimiento, esto se puede hacer de dos formas, la primera forma es creando una tabla temporal que usen los dos procedimientos y que sirva para compartir el dato buscado. La segunda forma es usar los parametros de salida de los que disponemos en los procedimientos.

Forma con tabla temporal:

Procedimiento 1:

Delimiter $$
Create procedure Proc_ConsultarPrecio (In Codigo int)
Begin
drop temporary table if exists TablaTemporal;
create temporary table TablaTemporal as Select Unitprice from Products where ProductID=Codigo;
End
$$
Delimiter ;

Procedimiento 2:

Delimiter $$
Create procedure Proc_InsertarDetalle (In NumOrden Int, In NumProd int, In Cantidad int, In Descuento decimal(7,2))
Begin
Declare VarPrecio decimal(7,2);
Call Proc_ConsultarPrecio(NumProd) ;
Set VarPrecio= (Select UnitPrice from TablaTemporal);
Insert into Orderdetails (OrderID, ProductID, UnitPrice, Quantity, Discount)
Values (NumOrden, NumProd, VarPrecio, Cantidad, Descuento );
drop temporary table if exists TablaTemporal;
End
$$
Delimiter ;

Forma utilizando parametros de salida del procedimiento:

Procedimiento 1:

Delimiter $$
Create Procedure proc_consultar_precio (inout precio int,In CodProd int)
Begin
select unitprice into precio from products where productId = CodProd;
End
$$
Delimiter ;

Procedimiento 2:

Delimiter $$
Create Procedure Insert_Orderdetail(IN POrderId Int(11), IN PProductID int(11), PQuantity Int(6), PDiscount double)
Begin
Declare Variable1 decimal(7,2);
Call proc_consultar_precio(Variable1, PProductID);
Insert into Orderdetails(OrderId, ProductID, UnitPrice, Quantity, Discount)
Values(POrderId,PProductID,Variable1,PQuantity,Discount);
End
$$
Delimiter ;

Procedimiento 1:
Delimiter $$
Create procedure Proc_DeleteCustomer (In Codigo varchar(5))
Begin
Delete from Customers where Customerid=Codigo;
End
$$
Delimiter ;

Procedimiento 2:

Forma con tabla temporal:

Procedimiento 1:

Procedimiento 2:

Forma utilizando parametros de salida del procedimiento:

Procedimiento 1:

Delimiter $$
Create Procedure proc_consultar_precio (inout precio int,In CodProd int)
Begin
select unitprice into precio from products where productId = CodProd;
End
$$
Delimiter ;

Procedimiento 2:

Revisar planes de ejecución en MySql

2022-09-07T15:13:00.002-07:00

La sentencia EXPLAIN se usa en Mysql para proporciona información sobre cómo su base de datos ejecuta una consulta. En MySQL, EXPLAINse puede usar delante de una consulta que comienza con SELECT, INSERT, DELETE, REPLACEy UPDATE.

En lugar de la salida de resultados habitual, MySQL mostraría su plan de ejecución explicando qué procesos tienen lugar y en qué orden se ejecutan las sentencias.

La información más importante de la salida del Explain es una columna TYPE que explica el tipo de recorrido que realiza para obtener los datos, si esta consultando indices o montones de datos.

eq_ref, const

Realiza un recorrido de un B-tree para encontrar una fila (como INDEX UNIQUE SCAN) y trae las columnas adicionales desde la tabla si se necesitan (TABLE ACCESS BY INDEX ROWID). La base de datos emplea esta operación si una clave primaria o una restricción de unicidad aseguran que el criterio de búsqueda coincide sólo con una entrada. Cuando la columna “Extra” muestra “Using Index” (Usando un índice), significa que no se produce acceso a la tabla porque el índice tiene todos los datos requeridos.

ref, range

Realiza un recorrido del B-tree, lee los nodos hoja para encontrar todas las entradas del índice. (similar a INDEX RANGE SCAN) y obtiene las columnas adicionales desde la primera tabla almacenada si es necesario (TABLE ACCESS BY INDEX ROWID).

index

Lee el índice entero (todos las filas) en el orden del mismo (similar a INDEX FULL SCAN).

all

Lee la tabla entera (todas las filas y las columnas) tal y como se almacena en disco. Además de la tasa alta de I/O, un escaneo de tabla debe leer todas las filas desde la tabla así que también puede agregar una carga considerable para la CPU.

Usando índice (en la columna “Extra”)

Cuando la columna “Extra” muestra “Using Index” (Usando un índice), significa que no se produce acceso a la tabla porque el índice tiene todos los datos requeridos. En este caso se puede pensar en utilizar solamente el índice. Sin embargo, si se usa una agrupación de índice (por ejemplo, el índice PRIMARY cuando se utiliza InnoDB), “Using Index” no aparece en la columna “Extra” aunque técnicamente se trata sólo de un escaneo del índice.

Guía del Equipo de Respuesta a Incidentes, CERT, de la empresa francesa Société Générale (CERT SG) del 2011.

2022-01-03T10:01:00.001-08:00

Guía del Equipo de Respuesta a Incidentes, CERT, de la empresa francesa Société Générale (CERT SG) del 2011 ante el ataque a un sitio web de la organización.

Preparación:

Establecer contactos con proveedores de Internet y autoridades de la ley, y con el personal interno pertinente.
Crear un listado de protocolos y direcciones IP prioritarios.
Fortalecer la infraestructura de red objetivo de posibles ataques y optimizar su referencia para que un ataque pueda ser rápidamente identificado.
Ajustar la configuración de DNS en poco tiempo.
Establecer el coste de un ataque.

Identificación:

Revisar el origen de direcciones IP, puertos de destino, direcciones URL y banderas de protocolo, y sea específico acerca de lo que el ISP debe de bloquear.
Establecer si la compañía recibió una demanda de extorsión antes del ataque e identificar a los sospechosos.

Contención / reparación:

Desactivar los cuellos de botella de la aplicación, bloquear el tráfico DDoS, y cerrar el servicio cloud más cercano tanto como sea posible.
Establecer filtros de salida para bloquear las respuestas al tráfico DDoS.
Llamar a un CERT nacional y a la policía y suministrarles información detallada.

Secuelas / recuperación:

Consultar con los equipos de la red antes de establecer los servicios.
Evaluar lo que ha funcionado, y lo qué no y construir la experiencia de la recuperación de desastres.

Otra posible solucion es instalar un WAF (Web Application Firewall) que permita hacer un bloqueo mediante reglas de acceso de IPs, bloqueos por medio de identificacion de usuario, entre otras.

Preguntas sobre los métodos de Kanban y Scrum

2022-01-03T09:46:00.002-08:00

1. Catorce preguntas sobre los métodos de Kanban y Scrum, la respuesta correcta esta resaltada en negrita.

¿En qué empresa fue creado el método Kanban?

a. Hyundai

b. Toyota

c. Microsoft

d. Oracle

2. ¿A qué nos referimos cuando hablamos de un sprint es scrum?

a. Organización en tiempo y trabajo de una tarea

b. Organización de los recursos

c. Designación del Scrum Master

3. ¿Cada cuánto como mínimo se realizan reuniones en la metodología de scrum?

a. Cada día

b. Cada 12 horas

c. Cada mes

4. ¿Cuál es el time box para un Sprint?

a. 4 horas siempre.

b. 15 minutos.

c. Depende del producto, proyecto o servicio.

d. 2 horas siempre.

5. El Scrum Master es el responsable de asegurar que Scrum es entendido y adoptado

a. Verdadero.

b. Falso.

6. ¿Cuál de los siguientes es un valor del Manifiesto Ágil?

a. Equipo sobre el gestor de proyectos.

b. Responder al cambio sobre el seguimiento de un plan.

c. Siguiendo un plan sobre la respuesta al cambio.

d. La negociación del contrato sobre seguir un plan.

7. ¿Quién es el encargado de enseñar al equipo que debe permanecer dentro de los time-box en la Retrospectiva del Sprint?

a. Team.

b. Stakeholders.

c. Product Owner.

d. Scrum Master.

8. Los Scrum Masters se aseguran de que el Equipo Scrum trabaja ajustándose a la teoría, prácticas y reglas de Scrum.

a. Verdadero.

b. Falso.

9. Todos los Sprint pertenecientes a un mismo proyecto o producto tienen la misma definición de Done.

a. Verdadero.

b. Falso.

10. ¿Cuál de los siguientes es un principio de Scrum?

a. Equipo sobre el gestor de proyectos.

b. Responder al cambio sobre el seguimiento de un plan.

c. Siguiendo un plan sobre la respuesta al cambio.

d. La negociación del contrato sobre seguir un plan.

11. ¿El Scrum Master o Product Owner tienen el control sobre el desempeño del equipo de desarrollo?

a. El Scrum Master.

b. El Product Owner.

c. Ambos.

d. Ninguno.

12. Scrum prescribe cuatro eventos formales que están contenidos dentro del Sprint, estos enfocados en la inspección y adaptación del desarrollo del producto. Los eventos son:
1. Reunión de Planificación del Sprint (Sprint Planning Meeting)
2. Revisión del Sprint (Sprint Review)
3. Scrum Diario (Daily Scrum)
4. Retrospectiva del Sprint (Sprint Retrospective)

a. Solo 1 y 2.

b. Solo 1, 2 y 3.

c. Solo 1, 2 y 4.

d. Todas las opciones.

13. ¿Cuándo comienza el segundo Sprint?

a. Inmediatamente después del primer sprint.

b. Cuando el CEO decide.

c. Cuando el Team decide.

d. Antes de que el primer Sprint termine.

14. ¿Qué enunciado describe mejor la responsabilidad de un Scrum Master?

a. Mantener a los interesados sin intervención en el desarrollo

b. La gestión del equipo como gerente de proyeto

c. Coaching y Mentoring al Team

d. La gestión y asegurar que el trabajo cumpla con los compromisos adquiridos

Mover la TempDB de ubicación

2021-08-03T07:06:00.009-07:00

La TempDB es una de las bases de datos más importantes para SQL Server, ya que la mayoría de las operaciones que no caben en la memoria ocurren allí como uniones de enlaces, disparadores, orden por, etc.

Por su gran importancia, puede ser necesario mover a una unidad de disco con más espacio a esta base de datos, pero después de mover su TempDB a una nueva unidad, asegúrese de reiniciar los servicios de SQL Server.

Hay dos razones principales por las que TempDB necesita moverse de una unidad a otra.

Los archivos temporales crecen y la unidad existente no tiene suficiente espacio para acomodarlos
Mover la base de datos temporal a otro grupo de archivos que se encuentra en una unidad física diferente ayuda a mejorar la lectura del disco de la base de datos

Para mover la base de datos haga lo siguiente:

Primero obtenga el nombre lógico de los datos temporales y el archivo de registro.

Ahora use el nombre lógico en el siguiente script para mover la base de datos temporal a la nueva unidad.

Cuando ejecute el script anterior, verá el mensaje de que la consulta se ha ejecutado correctamente. Sin embargo, no habrá cambios en la configuración de la base de datos temporal. La ubicación de TempDB cambiará cuando SQL Server reinicie los servicios nuevamente.

¿Para que sirve Power Query Editor en PowerBi Desktop?

2020-12-07T15:39:00.001-08:00

En este video hacemos una introducción a el Power Query Editor de Power BI Desktop y aprendemos a manejar parametros.

¿De qué se trata Power BI Desktop?

2020-12-05T15:26:00.001-08:00

Prepara tableros para mostrar la situación de tu empresa de manera fácil.

Power BI Desktop te permite crear los mejores tableros de control para tu negocio o proyecto en poco tiempo y compartirlo con otras personas y dispositivos.

Instalación y Configuración del Reporting Services

2020-11-13T15:21:00.007-08:00

En este video procedemos a instalar y configurar el Reporting Services, además de crear un primer reporte de prueba.

Reporting Services (SSRS) del SQL Server proporciona un conjunto de herramientas y servicios locales que crean, implementan y administran informes móviles y paginados.

¿Cómo funciona la función YEAR() en el SQL Server?

2020-11-02T15:36:00.005-08:00

Hay muchas funciones diferentes relacionadas con la fecha y hora disponibles en SQL Server, como DAY, MONTH, YEAR, DATEDIFF, etc. .Por ejemplo, la función YEAR se puede utilizar para extraer el valor del año de una fecha, como en el siguiente ejemplo:

DECLARE @TRANSACTION_DATE DATETIME
SET @TRANSACTION_DATE=’2020-11-02 15:20:30′
SELECT YEAR(@TRANSACTION_DATE) AS TRANSACTION_YEAR

Pero ahora surge algo interesante, que pasa si ejecutamos la siguiente sentencia:

SELECT YEAR(555660/20) AS YEAR_VALUE

¿Por qué el resultado es el siguiente?

Resulta que SQL Server es compatible con el sistema de fechas que parten de1900, es decir cuando ingresa una fecha, la fecha se convierte en un número de serie que representa el número de días transcurridos desde el 1 de enero de 1900.
Entonces, si estamos haciendo la consulta SELECT YEAR(555660/20), estamos escribiendo SELECT YEAR(27783), sin embargo, el 27783 los toma como días a partir del 1 de enero de 1900, lo que equivale a la fecha 25/01/1976, y si a esta fecha se le extrae el año queda solo 1976 de allí el porqué del resultado.

Demostración del proceso de Autenticación en el SQL server.

2020-10-15T16:33:00.001-07:00

En este laboratorio vemos el proceso de autenticación hacia el SQL Server usando una cuenta de dominio de Active Directory.

Siguenos en nuestras redes sociales https://www.youtube.com/visoalgt https://twitter.com/victhorcardenas https://www.instagram.com/vh_cardenas/

Cambiar nombre del Servidor de SQL Server

2020-10-03T17:03:00.003-07:00

Recientemente tuve problemas al montar una replicación de SQL Server donde se había cambiado el nombre de los servidores pero no se había actualizado las instancias de SQL Server lo que impedía se realizara la replicación, esto da origen al siguiente post.
Un problema bastante común en SQL Server es cambiar el nombre del equipo o servidor donde está instalado nuestro SQL, esto provoca varios conflictos en nuestra instancia de SQL, no trabajan los asistentes, deja de funcionar la replicación entre servidores, hay varios problemas porque no podemos hacer referencia al nombre de la instancia porque esta ya no tiene el nombre correcto.
La explicación es s que durante la instalación de SQL Server se graba en la base de datos del sistema, master, el nombre del servidor. Cuando cambiamos el nombre del servidor, estos datos no se actualizan de forma automática en la base de datos master, con lo que la información se desfasa
Este nombre lo podemos consultar a través de la variable global @@SERVERNAME.
Luego de cambiar nombre del servidor entonces debemos en nuestro SQL Management Studio cambiar el nombre de nuestra instancia, para esto borramos el nombre del servidor anterior, nombre obtenido con consultar la variable @@SERVERNAME con un simple SELECT @@SERVERNAME, y luego agregamos nuevamente nuestro servidor con el nombre actual, el script es el siguiente:
Select @@SERVERgo
sp_dropserver ‘old_name’
go
sp_addserver ‘new_name’, ‘local’go
El nombre actual del servidor se obtiene de escribir en la linea de comandos de Windows la instrucción Hostname

Si se trata de una instancia con nombre las instrucciones deberían de ser:
sp_dropserver <old_name\instancename>; go
sp_addserver <new_name\instancename>, local; go

Tipos de dato espaciales de SQL Server

2020-07-10T17:06:00.001-07:00

SQL Server no tiene ningún problema en guardar información relacionada con coordenadas, para obtener posicionamientos es decir ubicaciones o calculo de áreas geográficas o geométricas, para esto se vale de dos tipos de dato, que son geometry y geography .

Hay que tener en cuenta que en la industria, los datos espaciales vienen en muchas formas, contamos con sistemas basados en ráster que representan los datos como una serie de píxeles o puntos. y también tenemos los sistemas basados en vectores que representan formas como una serie de pequeños segmentos de línea. El soporte espacial para SQL Server se basa en datos vectoriales.

También hay sistemas que se basan en la tecnología 2-D, 3-D y 4-D. SQL Server actualmente admite aplicaciones 2-D. Puede almacenar y recuperar información tridimensional, pero no la utiliza durante la realización de cálculos.

SQL Server admite dos tipos de datos espaciales:

El tipo de datos geometry que admite datos planos o euclidianos (tierra plana) y se ajusta a las características simples del Open Geospatial Consortium (OGC) para la especificación SQL versión 1.1.0 y cumple con SQL MM (estándar ISO).

Además, SQL Server admite el tipo de datos de geography , que almacena datos elipsoidales (tierra redonda), como las coordenadas de latitud y longitud del GPS.

Ambos tipos de datos se implementan como tipos de datos .NET Common Language Runtime (CLR) en SQL Server, es decir bajo un asembly.

Los tipos de datos de geometry y geography admiten dieciséis objetos de datos espaciales, o tipos de instancia. Sin embargo, solo once de estos tipos de instancias son instanciables ; puede crear y trabajar con estas instancias (o instanciarlas) en una base de datos. Estos casos se derivan ciertas propiedades de sus tipos de datos de los padres que los distinguen como Puntos , cadenas lineales, circularStrings , CompoundCurves , polígonos , CurvePolygons o como múltiples geometría o geografía instancias en un GeometryCollection .
El tipo de geografía tiene un tipo de instancia adicional,FullGlobe

Creemos algunas variables de tipo espacial como ejemplo :

–Empecemos por consultar los sistemas de referencias con los que cuenta el sql server

Use tempdb;
go

Select * from sys.spatial_reference_systems
go

Select * from sys.spatial_reference_systems
where spatial_reference_id=4326

SELECT DISTINCT unit_of_measure, unit_conversion_factor
FROM sys.spatial_reference_systems;
GO

—Dibujar una forma usando geometría

Declare @shape geometry;
Set @shape= geometry::STGeomFromText(‘POLYGON((10 10, 25 15, 35 15, 40 10, 10 10))’,0);
Select @shape
go

–Dibujar un Circulo

DECLARE @G geometry = ‘CIRCULARSTRING(1 1, 2 2, 3 1, 2 0, 1 1)’
Select @G

—Dibujar dos forma usando geometría

Declare @shape1 geometry;
Declare @shape2 geometry;
Set @shape1= geometry::STGeomFromText(‘POLYGON((10 10, 25 15, 35 15, 40 10, 10 10))’,0);
Set @shape2= geometry::STGeomFromText(‘POLYGON((10 10, 25 5, 35 5, 40 10, 10 10))’,0);
Select @shape1
Union all
Select @shape2
go

—Dibujar la dos formas juntas

–Dibujar un pentágono

DECLARE @Pentagon geography;
SET @Pentagon = geography::STPolyFromText(
‘POLYGON(( -77.0532219483429 38.870863029297695,
-77.05468297004701 38.87304314667469,
-77.05788016319276 38.872800914712734,
-77.05849170684814 38.870219840133124,
-77.05556273460198 38.8690670969195,
-77.0532219483429 38.870863029297695),
( -77.05582022666931 38.8702866652523,
-77.0569360256195 38.870734733163644,
-77.05673214773439 38.87170668418343,
-77.0554769039154 38.871848684516294,
-77.05491900444031 38.87097997215688,
-77.05582022666931 38.8702866652523))’,
4326);
SELECT @Pentagon;
GO

–Medir la distancia entre los Angeles y Nueva York

Declare @NewYork geography;
Declare @LosAngeles geography;
Set @NewYork= geography::STGeomFromText(‘POINT(-74.0007339 40.726966)’, 4326);
Set @LosAngeles= geography::STGeomFromText(‘POINT(-118.24585 34.083375)’, 4326);
Select @NewYork.STDistance(@LosAngeles);
go

–Metodo Tostring

DECLARE @Point geometry;
SET @Point = geometry::STPointFromText(‘POINT(10 20 15 5)’, 0);
SELECT @Point.ToString()
GO

–Entrada GML

DECLARE @Point geography;
SET @Point = geography::GeomFromGml(‘ 12 50 ‘,4326);
SELECT @Point;
GO

–Medir la distancia entre los Guatemala y Nueva York

Declare @NewYork geography;
Declare @Guatemala geography;
Set @NewYork= geography::STGeomFromText(‘POINT(-74.0007339 40.726966)’, 4326);
Set @Guatemala= geography::STGeomFromText(‘POINT(-90.2307587 15.7834711)’, 4326);
Select @NewYork.STDistance(@Guatemala);
GO

–Agregar una columna a una tabla con el tipo de dato geográfico y agregarle datos

Use Northwind
GO

Alter table customers
add GeogCol1 geography;
go
Alter table customers
add GeogCol2 as GeogCol1.STAsText()
go

–– Es posible también asignar un índice espacial para este tipo de datos

Create spatial index SIndx_Customers on Customers (GeogCol1)

Update Customers Set GeogCol1 =
geography::STGeomFromText(‘LINESTRING(-122.360 47.656, -122.343 47.656 )’, 4326) where customerid=’ALFKI’
GO

–Consultemos el registro

Select * from customers where customerid=’ALFKI’

Notas sobre nuevas características de SQL Server 2019

2020-07-08T16:43:00.003-07:00

Cuando un producto te gusta es emocionante ver la nueva versión y las mejoras que le han realizado.

SQL Server tiene un compromiso con el rendimiento, busca siempre mejorar el desempeño con respecto a las versiones anteriores y esto nuevamente lo logra en SQL server 2019, otro compromiso es también la inteligencia de datos sobre cualquier dato, este es uno de los principales aportes. que nos permite trabajar entre bases de datos relaciones y bases de datos de big data.

Podemos aplicar todo lo que sería inteligencia artificial y machine learning tanto con SQL server en modelos relacionales como apache spark en bases de datos nosql.

También se tiene soporte multiplataforma, con el clásico soporte para Windows, pero ahora con soporte para linux, docker y Kubernetes y diferentes lenguajes desde T-sql, java, php, python, ruby

Es una de las bases de datos de mejor rendimiento y más seguras en el mercado en los últimos años, SQL server es quien menos incidentes de seguridad tiene en la industria de base de datos y quizá la mejor herramienta en inteligencia de negocios, generando reportes y dashboard rápidamente.

Además se tiene que tener la cuenta el costo 10 veces más barato que Oracle y que el SQL Server incluye el motor de base de datos, el integration services, el Analysis Services, el reporting services, cosa que en otros gestores de base de datos se trabaja por módulos y cada modulo con un costo adicional.

Inteligencia de datos sobre todos los tipos de almacenamiento, se busca generar un hub de datos unificado en donde podemos tener consultas con diferentes plataformas o diferentes sistemas, también una administración centralizada a través de Azure data Studio, además que me permita hacer análisis de datos con aplicaciones inteligentes en bases de datos relacionales y no relacionales.

Entonces contamos con una ventaja competitiva con una plataforma de datos unificada,

conectándonos a datos en modelo relacional, nosql o sistemas de big data con hadoop, de estos datos de cualquier entorno podemos hacer inteligencia artificial o Machinne Learning usando Spark y SQL y todo a través de Azure Data Studio una herramienta multiplataforma.

Veamos un poco más a detalle cómo funciona la integración de SQL Server 2019 con big data, inteligencia de negocios, y Inteligencia artificial.

Primero: la virtualización de datos nos va permitir conectarnos a diferentes fuentes de datos sin necesidad de movernos o replicarlos, escalar todos los cálculos hacia esas tabla externas y tener un cache de los mismos.

Nosotros tenemos herramientas para hacer análisis y aplicaciones de negocios conectadas a nuestro motor de base de datos, tanto las herramientas de análisis como las aplicaciones de negocios van a invocar a un código Transact-sql seleccionando por ejemplo una tabla, esa tabla puede ser una tabla externa o local, si es externa puede residir en spark, en hdfs, en Oracle, y la comunicación a esas tablas externas va ser a través de un pools que controlará el procesamiento y un pool de datos para almacenar la información.

Segundo: En Big Data, tenemos a SQL Server con soporte para Spark y Data Lake, tenemos un portal de administración donde podemos manejar esql server, nuestro cluster de HDFS con seguridad integrada con active directory, con esto un sql server va a tener la capacidad de conectarse a un sistema de escalable y compartido de HDFS y también puede usarse compartido este hdfs con Spark

Tercero: Plataforma de Inteligencia Artificial completa primero con todo el concepto de contenedores administrados por API Rest y además usar dos plataformas para la fabricación de nuestros modelos con SQL Server Machinne Learning y spart Machinne Learning

Ahora enfoquémonos más hacia donde irán nuestras demostraciones, en lo que sería la medula espinal de nuestro SQL Server 2019, mejorando el rendimiento, la seguridad y la disponibilidad en la misión crítica.

Para todo lo que sería rendimiento en SQL server 2019 se tiene ahora Intelligent Query Processing, las herramientas anteriormente conocidas como Automatic Query Tunning cambiaron su nombre a Intelligent Query Processing para tenerlas todas dentro de una misma familia.

Esta familia de funciones de procesamiento inteligente de consultas (IQP) incluye funciones de amplio impacto que mejoran el rendimiento de las cargas de trabajo existentes con un mínimo esfuerzo de implementación para adoptar oor ejemplo Table Variable Deferred Compilation mejora el rendimiento hasta un 30%

También tenemos Bach Mode For Row Store que el principal beneficio de esta función es que mejora el rendimiento de las consultas analíticas y también reduce la utilización de la CPU de este tipo de consultas, antes esto solo se tenía para columnstore.

Aproximate QP es una nueva familia de características. Se agregaron para el manejo de grandes conjuntos de datos donde la capacidad de respuesta es más crítica que la precisión absoluta. Un ejemplo es calcular un COUNT (DISTINCT ()) en 10 mil millones de filas, para mostrar en una tabla. En este caso, la precisión absoluta no es importante, pero la capacidad de respuesta es crítica. La nueva función agregada APPROX_COUNT_DISTINCT devuelve el número aproximado de valores únicos no nulos en un grupo.

Memory Grant Feedback hace mejoras en los planes de ejecución en cache: El plan posterior a la ejecución de una consulta en SQL Server incluye la memoria mínima requerida necesaria para la ejecución y el tamaño de concesión de memoria ideal para que todas las filas quepan en la memoria. Tenemos problemas de rendimiento cuando los tamaños de concesión de memoria tienen un tamaño incorrecto. Obviamente si hay memoria asignada excesiva resultan en memoria desperdiciada y concurrencia reducida. Si la memoria es insuficiente causa desbordamiento costosos en el disco. Al abordar las cargas de trabajo repetitivas, la Memory Grant Feddback en modo por lotes recalcula la memoria real requerida para una consulta y luego actualiza el valor de concesión para el plan en caché. Cuando se ejecuta una instrucción de consulta idéntica, la consulta utiliza el tamaño de concesión de memoria revisado, mejorando el uso de la memoria.

Otra de las ventajas es mejoras en Always Encrypted con Secure Enclaves que permite hacer clasificación de datos y auditoria integrada directamente en el sql server.
Introducido en SQL Server 2016, Always Encrypted protege la confidencialidad de los datos confidenciales contra malware y usuarios no autorizados de SQL Server con altos privilegios . Los usuarios no autorizados con altos privilegios son DBA, administradores de computadoras, administradores de la nube o cualquier otra persona que tenga acceso legítimo a instancias de servidores, hardware, etc., pero que no deberían tener acceso a algunos o todos los datos reales.

Sin las mejoras discutidas en este artículo, Always Encrypted protege los datos cifrándolos en el lado del cliente y nunca permitiendo que los datos o las claves criptográficas correspondientes aparezcan en texto sin formato dentro del motor de SQL Server. Como resultado, la funcionalidad en columnas cifradas dentro de la base de datos está severamente restringida. Las únicas operaciones que SQL Server puede realizar en datos cifrados son las comparaciones de igualdad (solo disponibles con cifrado determinista). Todas las demás operaciones, incluidas las operaciones criptográficas (cifrado de datos inicial o rotación de clave) y / o cómputos ricos (por ejemplo, coincidencia de patrones) no son compatibles dentro de la base de datos. Los usuarios necesitan mover sus datos fuera de la base de datos para realizar estas operaciones en el lado del cliente.

Siempre cifrado con enclaves seguros resuelve estas limitaciones al permitir los cálculos en datos de texto sin formato dentro de un enclave seguro en el lado del servidor. Un enclave seguro es una región protegida de memoria dentro del proceso de SQL Server, y actúa como un entorno de ejecución confiable para procesar datos confidenciales dentro del motor de SQL Server. Un enclave seguro aparece como un cuadro negro para el resto del servidor SQL y otros procesos en la máquina de alojamiento. No hay forma de ver ningún dato o código dentro del enclave desde el exterior, incluso con un depurador.

Mejoras en el Always On, tengamos en cuenta cómo funciona Always On que permite tener una tolerancia de fallos mejorada, permite tener un servidor principal y nodos conectando a este replicando la data, si el nodo principal se cae inmediatamente pasa a pasivo y habilita uno de los nodos para continuar trabajando, pero mientras todo esta normal los nodos secundarios pueden ser leídos y utilizarse para conectar por ejemplo el reporting services, en sql server 2019 se pueden contar hasta con 6 nodos, uno de los problemas comunes era que el nodo principal soporta las operaciones del negocio con más actividad que los servidores secundarios fragmentaba más rápidos los índices, y entonces por ejemplo una tarea programada de mantenimiento de índices, levantaba un proceso sobre todos los nodos o servidores secundarios y esto levantaba bloqueos ocasionando los servidores sin poder realizar consultas, esto se mejora en sql server 2019 permitiendo contar con mantenimiento de índices en línea y también pudiéndose pausar y continuar, algo similar pasaba si implementábamos columnstoreindex.

Otro elemento importante es el soporte para cluster de Kubernetes que me permite contar con varios nodos que no necesariamente tienen que ser de Windows.

Contamos entonces con una plataforma de desarrollo moderna, más rápida, multiplataforma, para desarrollar en el entorno de nuestra predilección.

UTF-8: Las intercalaciones en SQL Server proporcionan reglas de clasificación, mayúsculas y minúsculas y propiedades de sensibilidad de acento para sus datos. Las intercalaciones que se usan con los tipos de datos de caracteres, como char y varchar , dictan la página de códigos y los caracteres correspondientes que se pueden representar para ese tipo de datos.

Alternativamente, comenzando con SQL Server 2019 (15.x), si se usa una intercalación habilitada para UTF-8 (_UTF8), los tipos de datos previamente no Unicode ( char y varchar ) se convierten en tipos de datos Unicode usando la codificación UTF-8. SQL Server 2019 (15.x) no cambia el comportamiento de los tipos de datos Unicode previamente existentes ( nchar , nvarchar y ntext ), que continúan utilizando la codificación UCS-2 o UTF-16.

Mejoras en el desarrollo, abarcando ahora más que solo Transact-sql, ahora podemos usar R, Python y java, en las bases de datos conectadas a graphos, mejoras en Machine Learning

Graphos es una base de datos de gráficos es un tipo de base de datos NoSQL que se basa en la teoría de gráficos. Las bases de datos de gráficos son ideales para almacenar datos que tienen relaciones complejas de muchos a muchos.

Si no conocen sobre una base de datos gráfica para tener una idea pensemos en el siguiente ejemplo: Las plataformas de redes sociales son uno de los mejores ejemplos de cómo funcionan las bases de datos gráficas. Considere un escenario donde a una persona le gusta un equipo de fútbol en particular. A un usuario también le pueden gustar uno o más estadios de fútbol. Alternativamente, un estadio de fútbol puede ser del agrado de múltiples usuarios. A los usuarios también les pueden gustar los estadios de fútbol y las ciudades. Un equipo de fútbol tiene un estadio local. Un estadio puede estar ubicado en una ciudad en particular y una ciudad puede tener múltiples estadios. Una base de datos gráfica es ideal para almacenar este tipo de información. Los usuarios, equipos, estadios y ciudades pueden implementarse como entidades o nodos. Por otro lado, los me gusta, el estadio local y las ciudades del estadio se pueden implementar como relaciones o bordes.

Como ya mencionamos el soporte multi-plataforma es muy importante agregando a las instancias en linux nuevas capacidades como la replicación, transacciones distribuidas y Machine Learning, además de soporte para LDAP, otra característica importante es el soporte en Always On Availability Groups para Kubernetes.

DBCC CLONEDATABASE

Genera un clon de una base de datos de solo esquema mediante DBCC CLONEDATABASE para investigar problemas de rendimiento relacionados con el optimizador de consultas.

El equipo de producto SQL ha realizado mejoras significativas en la funcionalidad, compatibilidad y rendimiento del índice de almacén de columnas durante SQL Server 2016 en función de los comentarios de los clientes.

sp_estimate_data_compression_savings

Cuando el equipo de SQL Server lanzó la compresión ROW y PAGE en SQL Server 2008, los clientes podían invocar sp_estimate_data_compression_savings procedimiento almacenado para estimar los ahorros de almacenamiento para la compresión ROW y PAGE. Tenga en cuenta que el ahorro de compresión fue solo una estimación basada en muestrear un subconjunto de filas de la tabla de origen y cargarlas en una tabla temporal y luego medir el tamaño de esta tabla temporal antes / después de la compresión.

Para la mayoría de los casos, la estimación del ahorro de compresión fue buena, excepto cuando los datos en la tabla de origen estaban sesgados. La mayoría de los clientes lo encontraron útil, ya que era una forma conveniente de ver los beneficios del almacenamiento. Sin embargo, como algunos de ustedes han descubierto, este procedimiento almacenado no se ha extendido para estimar los ahorros de almacenamiento del índice del almacén de columnas y que ahora aparecio en SQL Server 2019.

Una característica nueva y emocionante en SQL Server 2019 es sys.dm_db_page_info. Esta nueva función de administración dinámica (DMF) recupera la información de la página útil, como page_id, file_id, index_id, object_id, y page_type, que se puede utilizar para solucionar problemas y depurar problemas de rendimiento en SQL Server. Históricamente, la solución de problemas ha implicado el uso de la DBCC Page y el Dinamic Management Function no documentado sys.dm_db_page_allocations.

A diferencia de la página DBCC, que proporciona todo el contenido de una página, sys.dm_db_page_infosolo devuelve información de encabezado sobre las páginas. Afortunadamente, esto será suficiente para la mayoría de los escenarios de resolución de problemas y ajuste de rendimiento.

Azure data estudio, lanzado en septiembre 2018, multiplataforma disponible para mac, linux y Windows, es open source el codigo está disponible en Github,

Azure data estudio está enfocado a personas que pasan más tiempo desarrollando código, o personas que necesiten administrar sql server desde otro sistema operativo que no sea Windows,

SQL Management Studio está enfocado más a tareas administrativas, de seguridad, permite hacer reportes de Query store, sobre Windows,

Desde la versión 18.0 del SSMS se puede lanzar Azure Data Studio.

Características de Azue Data Studio:

Es más liviano, corre más rápido
Editor de código moderno, mejor intellisense
Object explorer similar al SSMS
Dashboards
Se puede exportar el resultado de un query a csv, xml, json, excel
notebooks, proyecto open source para phyton
Tiene una terminal integrada
Cuenta con Source Control git o github
Actualizaciones mensuales
Permite Creación de Snippets que sirve para auto-completar código frecuente

Esquemas en el SQL Server

2020-04-03T16:59:00.007-07:00

El comportamiento de los esquemas cambió desde SQL Server 2005, anteriormente estaban asociados a los usuarios, es decir cada usuario tenia su propio esquema; lo que ocasionaba objetos huérfanos al momento de eliminar un usuario, cada esquema ahora es un espacio de nombres distinto que existe de forma independientemente del usuario de base de datos que lo creó. Es decir, un esquema simplemente es un contenedor de objetos. Cualquier usuario puede ser propietario de un esquema, y esta propiedad es transferible.

Comportamiento nuevo

La separación de propiedad de los esquemas tiene consecuencias importantes:

La propiedad de los esquemas y de los elementos protegibles con ámbito de esquema es transferible.
Es posible mover objetos entre esquemas.
Un mismo esquema puede contener objetos que sean propiedad de varios usuarios de base de datos.
Varios usuarios de base de datos pueden compartir un mismo esquema predeterminado.
Se pueden administrar los permisos sobre esquemas y sobre elementos protegibles con mayor precisión que en las versiones anteriores.
Cualquier entidad de seguridad de base de datos puede ser propietaria de un esquema. Esto incluye roles y roles de aplicación.
Es posible eliminar un usuario de base de datos sin necesidad de eliminar objetos en un esquema correspondiente.
El código escrito para las versiones anteriores de SQL Server puede producir resultados incorrectos si el código considera que los esquemas son equivalentes a los usuarios de base de datos.
Las visas de catálogo diseñadas para versiones anteriores de SQL Server pueden devolver resultados incorrectos, incluidos sysobjects.
Cuando se crea un objeto de base de datos, si especifica una entidad de seguridad de dominio válida (usuario o grupo) como la propietaria del objeto, la entidad de seguridad de dominio se agregará a la base de datos como esquema. Esa entidad de seguridad de dominio será la propietaria del nuevo esquema.

Para crear un esquema mediante SQL Server Management Studio

En SQL Server Management Studio, abra el Explorador de objetos y expanda la carpeta Bases de datos.
Expanda la base de datos en la que se va a crear el esquema de la misma.
Haga clic con el botón secundario en la carpeta Seguridad, seleccione Nuevo y, a continuación, haga clic en Esquema.
En la página General, escriba un nombre para el nuevo esquema en el cuadro Nombre de esquema.
En el cuadro Propietario del esquema, escriba el nombre del usuario o función de base de datos que va a poseer el esquema.
Haga clic en Aceptar.

Para crear un esquema con Transact-SQL

En el Editor de consultas, conéctese a la base de datos en la que se va a crear el esquema de la base de datos; para ello, ejecute el siguiente comando de Transact-SQL:

USE <database name> GO
Cree el usuario ejecutando el siguiente comando de Transact-SQL:

CREATE SCHEMA <new schema name> AUTHORIZATION [new schema owner] ; GO