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https://issues.apache.org/jira/browse/SPARK-19364?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Milkowski updated SPARK-19364:
-------------------------------------
Environment:
ubuntu unix
spark 2.0.2
application is java
was:
ubuntu unix
spar 2.0.2
application is java
> Some Blocks in Storage Persists Forever
> ---------------------------------------
>
> Key: SPARK-19364
> URL: https://issues.apache.org/jira/browse/SPARK-19364
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.0.2
> Environment: ubuntu unix
> spark 2.0.2
> application is java
> Reporter: Andrew Milkowski
>
> running standard kinesis stream ingestion with a java spark app and creating
> dstream after running for some time some block streams seem to persist
> forever and never cleaned up and this eventually leads to memory depletion on
> workers
> we even tried cleaning RDD's with the following:
> cleaner = ssc.sparkContext().sc().cleaner().get();
> filtered.foreachRDD(new VoidFunction<JavaRDD<String>>() {
> @Override
> public void call(JavaRDD<String> rdd) throws Exception {
> cleaner.doCleanupRDD(rdd.id(), true);
> }
> });
> despite above blocks do persis still, this can be seen in spark admin UI
> for instance
> input-0-1485362233945 1 ip-<>:34245 Memory Serialized 1442.5
> KB
> above block stays and is never cleaned up
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