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https://issues.apache.org/jira/browse/SPARK-6211?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14353737#comment-14353737
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Tathagata Das commented on SPARK-6211:
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That a good point. That requires the kafka-assembly. Fortunately, the
external/kafka-assembly project already exists, that create the JAR. All you
need to figure out how to add that the generated kafka-assembly.jar to the Java
class path when pyspark is called for running tests.
1. bin/pyspark already calls bin/spark-submit, which can take the
kafka-assembly jar as --jars <path-to-jar>.
2. The python tests are run with bin/python/run-tests, which calls bin/pyspark.
Please take a look at those to figure out how we can pass on the kafka assembly
with --jars for the kafka python tests.
Does that make sense?
> Test Python Kafka API using Python unit tests
> ---------------------------------------------
>
> Key: SPARK-6211
> URL: https://issues.apache.org/jira/browse/SPARK-6211
> Project: Spark
> Issue Type: Test
> Components: Streaming, Tests
> Reporter: Tathagata Das
> Assignee: Saisai Shao
> Priority: Critical
>
> This is tricky in python because the KafkaStreamSuiteBase (which has the
> functionality of creating embedded kafka clusters) is in the test package,
> which is not in the python path. To fix that, we have to ways.
> 1. Add test jar to classpath in python test. Thats kind of trickier.
> 2. Bring that into the src package (maybe renamed as KafkaTestUtils), and
> then wrap that in python to use it from python.
> If (2) does not add any extra test dependencies to the main Kafka pom, then 2
> should be simpler to do.
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