[
https://issues.apache.org/jira/browse/SPARK-26500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
EdisonWang resolved SPARK-26500.
--------------------------------
Resolution: Not A Problem
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
