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https://issues.apache.org/jira/browse/SPARK-25106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16591834#comment-16591834
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Alexis Seigneurin commented on SPARK-25106:
-------------------------------------------
I just built the code from
[https://github.com/apache/spark/releases/tag/v2.3.2-rc5] and the issue seems
to be gone 👍
> A new Kafka consumer gets created for every batch
> -------------------------------------------------
>
> Key: SPARK-25106
> URL: https://issues.apache.org/jira/browse/SPARK-25106
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.3.1
> Reporter: Alexis Seigneurin
> Priority: Major
> Attachments: console.txt
>
>
> I have a fairly simple piece of code that reads from Kafka, applies some
> transformations - including applying a UDF - and writes the result to the
> console. Every time a batch is created, a new consumer is created (and not
> closed), eventually leading to a "too many open files" error.
> I created a test case, with the code available here:
> [https://github.com/aseigneurin/spark-kafka-issue]
> To reproduce:
> # Start Kafka and create a topic called "persons"
> # Run "Producer" to generate data
> # Run "Consumer"
> I am attaching the log where you can see a new consumer being initialized
> between every batch.
> Please note this issue does *not* appear with Spark 2.2.2, and it does not
> appear either when I don't apply the UDF.
> I am suspecting - although I did go far enough to confirm - that this issue
> is related to the improvement made in SPARK-23623.
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