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Posted to issues@spark.apache.org by "Sean R. Owen (Jira)" <ji...@apache.org> on 2020/01/08 14:24:00 UTC
[jira] [Updated] (SPARK-30410) Calculating size of table having
large number of partitions causes flooding logs
[ https://issues.apache.org/jira/browse/SPARK-30410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean R. Owen updated SPARK-30410:
---------------------------------
Priority: Trivial (was: Minor)
> Calculating size of table having large number of partitions causes flooding logs
> --------------------------------------------------------------------------------
>
> Key: SPARK-30410
> URL: https://issues.apache.org/jira/browse/SPARK-30410
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.4.5, 3.0.0
> Reporter: Zhenhua Wang
> Priority: Trivial
>
> For a partitioned table, if the number of partitions are very large, e.g. tens of thousands or even larger, calculating its total size causes flooding logs.
> The flooding happens in:
> # `calculateLocationSize` prints the starting and ending for calculating the location size, and it is called per partition;
> # `bulkListLeafFiles` prints all partition paths.
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