You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Harish (JIRA)" <ji...@apache.org> on 2016/10/14 16:15:21 UTC
[jira] [Updated] (SPARK-17942) OpenJDK 64-Bit Server VM warning:
Try increasing the code cache size using -XX:ReservedCodeCacheSize=
[ https://issues.apache.org/jira/browse/SPARK-17942?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Harish updated SPARK-17942:
---------------------------
Priority: Minor (was: Major)
> OpenJDK 64-Bit Server VM warning: Try increasing the code cache size using -XX:ReservedCodeCacheSize=
> -----------------------------------------------------------------------------------------------------
>
> Key: SPARK-17942
> URL: https://issues.apache.org/jira/browse/SPARK-17942
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.0.1
> Reporter: Harish
> Priority: Minor
>
> My code snipped is in below location. In that snippet i had put only few columns, but in my test case i have data with 10M rows and 10,000 columns.
> http://stackoverflow.com/questions/39602596/convert-groupbykey-to-reducebykey-pyspark
> I see below message in spark 2.0.2 snapshot
> # Stderr of the node
> OpenJDK 64-Bit Server VM warning: CodeCache is full. Compiler has been disabled.
> OpenJDK 64-Bit Server VM warning: Try increasing the code cache size using -XX:ReservedCodeCacheSize=
> # stdout of the node
> CodeCache: size=245760Kb used=242680Kb max_used=242689Kb free=3079Kb
> bounds [0x00007f32c5000000, 0x00007f32d4000000, 0x00007f32d4000000]
> total_blobs=41388 nmethods=40792 adapters=501
> compilation: disabled (not enough contiguous free space left)
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org