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Posted to issues@spark.apache.org by "Jungtaek Lim (JIRA)" <ji...@apache.org> on 2018/08/24 07:47:00 UTC
[jira] [Comment Edited] (SPARK-25106) A new Kafka consumer gets
created for every batch
[ https://issues.apache.org/jira/browse/SPARK-25106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16591278#comment-16591278 ]
Jungtaek Lim edited comment on SPARK-25106 at 8/24/18 7:46 AM:
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I played with the project and looks like it is affected by SPARK-24987 (It will be available in 2.3.2).
Ran Consumer with attaching file leak detector ([http://file-leak-detector.kohsuke.org/]) for both 2.3.1 and 2.4.0-SNAPSHOT (SPARK-24987 is pulled), and 2.4.0-SNAPSHOT doesn't have this issue while I can reproduce this from 2.3.1.
[~aseigneurin]
Would you mind if you test again with either pull Spark 2.3.2 RC5 (in Spark dev mailing list) or build latest branch-2.3 of Spark source code, and see whether the issue is resolved or not?
was (Author: kabhwan):
I played with the project and looks like it is affected by [SPARK-24987|https://github.com/apache/spark/commit/b7fdf8eb2011ae76f0161caa9da91e29f52f05e4] (It will be available in 2.3.2).
Ran Consumer with attaching file leak detector ([http://file-leak-detector.kohsuke.org/]) for both 2.3.1 and 2.4.0-SNAPSHOT (SPARK-24987 is pulled), and 2.4.0-SNAPSHOT doesn't have this issue while I can reproduce this from 2.3.1.
[~aseigneurin]
Would you mind if you test again with either pull Spark 2.3.2 RC5 (in Spark dev mailing list) or build latest branch-2.3 of Spark source code, and see whether the issue is resolved or not?
> 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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