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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/09/05 03:38:00 UTC
[jira] [Updated] (FLINK-10205) Batch Job: InputSplit Fault tolerant
for DataSourceTask
[ https://issues.apache.org/jira/browse/FLINK-10205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated FLINK-10205:
-----------------------------------
Labels: pull-request-available (was: )
> Batch Job: InputSplit Fault tolerant for DataSourceTask
> -------------------------------------------------------
>
> Key: FLINK-10205
> URL: https://issues.apache.org/jira/browse/FLINK-10205
> Project: Flink
> Issue Type: Sub-task
> Components: JobManager
> Reporter: JIN SUN
> Assignee: JIN SUN
> Priority: Major
> Labels: pull-request-available
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> Today DataSource Task pull InputSplits from JobManager to achieve better performance, however, when a DataSourceTask failed and rerun, it will not get the same splits as its previous version. this will introduce inconsistent result or even data corruption.
> Furthermore, if there are two executions run at the same time (in batch scenario), this two executions should process same splits.
> we need to fix the issue to make the inputs of a DataSourceTask deterministic. The propose is save all splits into ExecutionVertex and DataSourceTask will pull split from there.
>
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