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Posted to issues@spark.apache.org by "EdisonWang (JIRA)" <ji...@apache.org> on 2019/03/22 08:42:00 UTC
[jira] [Closed] (SPARK-26500) Add conf to support ignore hdfs data
locality
[ https://issues.apache.org/jira/browse/SPARK-26500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
EdisonWang closed SPARK-26500.
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> Add conf to support ignore hdfs data locality
> ---------------------------------------------
>
> Key: SPARK-26500
> URL: https://issues.apache.org/jira/browse/SPARK-26500
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.4.0
> Reporter: EdisonWang
> Priority: Trivial
>
> When reading a large hive table/directory with thousands of files, it will cost up to several minutes or even hours to calculate data locality for each split in driver, while executors are in idle status.
> This situation is even worth when running in SparkThriftServer mode, because handleJobSubmitted(it will call getPreferedLocation) is handled in a single thread. One big sql will block all the following sqls.
> At the same time, most companies's internal networks are all gigabit network cards, so it is ok to read a data not locality.
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