There are several ways to wait for a Crawler to complete. The easiest is to poll the state of the Crawler using a Glue:GetCrawler step. If the output is READY then move on, otherwise wait for a period and check again.

Remember to add the Output from the Glue:GetCrawler step. This allows us to check it in the Choice State.

In the Choice State test that the $testCrawlerState.Crawler.State is equal to the string constant READY.


@Component
@RequiredArgsConstructor
public class MyService {
private final MyFirstDependency firstDependency;
private final MySecondDependency secondDependency;

private MyThirdDependency optionalDependency;
}


    org.springframework.cloud
    spring-cloud-starter-sleuth
    2.1.0.RELEASE

The issue is that Spring Sleuth prevents the JMSListener from being registered as per:
Jms listeners not running

To fix use version 2.1.1.RELEASE of spring-cloud-starter-sleuth:

    org.springframework.cloud
    spring-cloud-starter-sleuth
    2.1.1.RELEASE

unknown option: -plugins

To fix, change:

# execute
exec "$LINUX/pharo" \
-plugins "$LINUX" \
-encoding utf8 \
-vm-display-X11 \
"$image"

To:

# execute
exec "$LINUX/pharo" \
--plugins "$LINUX" \
--encoding utf8 \
"$image"

Here’s a snippet to encode and decode a column from the Titanic training set:

from sklearn.preprocessing import LabelEncoder

encoder = LabelEncoder()
sex_cat = train_df["Sex"]
sex_cat_encoded = encoder.fit_transform(sex_cat)
print(encoder.inverse_transform(sex_cat_encoded))
# print(encoder.inverse_transform(sex_cat)) This will give you the error


A blogger and a coder with a pedantic passion for performance. My work has spanned army intelligence systems, dot.com era startups, financial institutions and innovative product companies. Currently the Lead Performance Eng. for Azul Systems by day, and main contributor to kickass lock free data structures library JCTools by night.

We will take a deep dive into the guts of Honest-Profiler, an unbiased sampling CPU profiler for the JVM, and the JVM internals which enable it to work.

• Introduction: CPU profiling, sampling and biases explained.

• How does it hang together? interrupts, non-blocking code and an unofficial API

• Sampling the instruction pointer: how it works and limits of accuracy

• Walking the stack: demangling a mixed Java/native stack, challenges and limitations

• Reading a profile: flat profile vs. tree profile vs. flamegraphs

The talk will include some counter examples from other profilers(JVisualVM/JMC/YourKit/ZVision).

See you there!

If we want to make sure our communities continue to be as awesome and welcoming as they are, we need to take steps to ensure our events and on-line spaces stay safe. The easiest of which is the implementation and enforcement of an anti-harassment policy.

How easy is it? You can lift, almost word for word, a policy from the Geek Feminism Wiki. We’ve done so at the Jozi JUG.

If your group hasn’t instituted an anti-harassment policy, email the organizers and let them know they need one and where to get it!

Duke gives the thumbs up to safe communities

Docker

New to Java and keen on learning about MongoDB? The Next Gen talk is just for you! RSVP and details on Meetup.

MongoDB

Next Gen : The Jozi JUG Code Dojo Second Kata

The Jozi JUG code dojo’s second white belt kata will be explained.

The Dojo is a totally free place where new Java developers in South Africa can learn modern techniques of the Java ecosystem.

The kata includes explaining the code of the first kata, modifying the program and pushing the code to github.

Come on over!

History of JavaScript and new exciting features of Nashorn and Project Avatar

JavaScript is all the rage! If you have not heard of node-this-node-that there where have you been?

Not to want to miss all the attention, Oracle has put its brightest minds in upgrading Java’s JavaScript engines with 95% Java-To-Node compatibility.

Join Rory as we discover the history of JavaScript and the new exciting features of Nashorn and “Project Avatar”

See you there!