You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/08/21 14:30:00 UTC
[jira] [Assigned] (SPARK-40150) Dynamically merge File Splits
[ https://issues.apache.org/jira/browse/SPARK-40150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-40150:
------------------------------------
Assignee: Apache Spark
> Dynamically merge File Splits
> -----------------------------
>
> Key: SPARK-40150
> URL: https://issues.apache.org/jira/browse/SPARK-40150
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Jackey Lee
> Assignee: Apache Spark
> Priority: Major
>
> We currently use maxPartitionBytes and minPartitionNum to split files and use openCostInBytes to merge file splits. But these are static configurations, and the same configuration does not work in all scenarios.
> This PR attempts to dynamically merge file splits, taking into the concurrency while processing more data in one task.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org