[
https://issues.apache.org/jira/browse/SPARK-5001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
hanhonggen updated SPARK-5001:
------------------------------
Comment: was deleted
(was: I think it's impossible to make sure that all jobs generated in spark
streaming will finish orderly. My patch may be not a proper way. But the
current logic of Spark Streaming is too rough.)
> BlockRDD removed unreasonablly in streaming
> -------------------------------------------
>
> Key: SPARK-5001
> URL: https://issues.apache.org/jira/browse/SPARK-5001
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.0.2, 1.1.1, 1.2.0
> Reporter: hanhonggen
> Attachments:
> fix_bug_BlockRDD_removed_not_reasonablly_in_streaming.patch
>
>
> I've counted messages using kafkainputstream of spark-1.1.1. The test app
> failed when the latter batch job completed sooner than the previous. In the
> source code, BlockRDDs older than (time-rememberDuration) will be removed in
> cleanMetaData after one job completed. And the previous job will abort due to
> block not found.The relevant log are as follows:
> 2014-12-25
> 14:07:12(Logging.scala:59)[sparkDriver-akka.actor.default-dispatcher-14] INFO
> :Starting job streaming job 1419487632000 ms.0 from job set of time
> 1419487632000 ms
> 2014-12-25
> 14:07:15(Logging.scala:59)[sparkDriver-akka.actor.default-dispatcher-14] INFO
> :Starting job streaming job 1419487635000 ms.0 from job set of time
> 1419487635000 ms
> 2014-12-25
> 14:07:15(Logging.scala:59)[sparkDriver-akka.actor.default-dispatcher-15] INFO
> :Finished job streaming job 1419487635000 ms.0 from job set of time
> 1419487635000 ms
> 2014-12-25
> 14:07:15(Logging.scala:59)[sparkDriver-akka.actor.default-dispatcher-16] INFO
> :Removing blocks of RDD BlockRDD[3028] at createStream at TestKafka.java:144
> of time 1419487635000 ms from DStream clearMetadata
> java.lang.Exception: Could not compute split, block input-0-1419487631400 not
> found for 3028
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
