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Posted to issues@spark.apache.org by "ant_nebula (JIRA)" <ji...@apache.org> on 2018/07/03 01:39:00 UTC
[jira] [Updated] (SPARK-24727) The cache 100 in CodeGenerator is
too small for streaming
[ https://issues.apache.org/jira/browse/SPARK-24727?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ant_nebula updated SPARK-24727:
-------------------------------
Description:
private val cache = CacheBuilder.newBuilder().maximumSize(100).build
The cache 100 in org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator is too small for realtime streaming calculation, although is ok for offline calculation. Because realtime streaming calculation is mostly more complex is one driver, and performance sensitive.
I suggest spark support configging for user with default 100, such as spark.codegen.cache.
was:
private val cache = CacheBuilder.newBuilder().maximumSize(100).build
The cache 100 in org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator is too small for realtime streaming calculation, although is ok for realtime calculation. Because realtime streaming calculation is mostly more complex is one driver.
I suggest spark support configging for user with default 100, such as spark.codegen.cache.
> The cache 100 in CodeGenerator is too small for streaming
> ---------------------------------------------------------
>
> Key: SPARK-24727
> URL: https://issues.apache.org/jira/browse/SPARK-24727
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: ant_nebula
> Priority: Major
>
> private val cache = CacheBuilder.newBuilder().maximumSize(100).build
> The cache 100 in org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator is too small for realtime streaming calculation, although is ok for offline calculation. Because realtime streaming calculation is mostly more complex is one driver, and performance sensitive.
> I suggest spark support configging for user with default 100, such as spark.codegen.cache.
>
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