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Posted to issues@spark.apache.org by "Qifan Pu (JIRA)" <ji...@apache.org> on 2016/07/25 19:53:20 UTC
[jira] [Updated] (SPARK-16713) Limit codegen method size to 8KB
[ https://issues.apache.org/jira/browse/SPARK-16713?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Qifan Pu updated SPARK-16713:
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Description: Ideally, we would wish codegen methods to be less than 8KB for bytecode size. Beyond 8K JIT won't compile and can cause performance degradation. We have seen this for queries with wide schema (30+ fields), where agg_doAggregateWithKeys() can be more than 8K. This is also a major reason for performance regression when we enable fash aggregate hashmap (such as using VectorizedHashMapGenerator.scala). (was: Ideally, we would wish codegen methods to be less than 8KB for bytecode size. Beyond 8K JIT won't compile and can cause performance degradation. We have seen this for queries with wide schema (30+ fields). This is also a major reason for performance regression when we enable fash aggregate hashmap (such as using VectorizedHashMapGenerator.scala).)
> Limit codegen method size to 8KB
> --------------------------------
>
> Key: SPARK-16713
> URL: https://issues.apache.org/jira/browse/SPARK-16713
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, SQL
> Affects Versions: 2.0.0
> Reporter: Qifan Pu
>
> Ideally, we would wish codegen methods to be less than 8KB for bytecode size. Beyond 8K JIT won't compile and can cause performance degradation. We have seen this for queries with wide schema (30+ fields), where agg_doAggregateWithKeys() can be more than 8K. This is also a major reason for performance regression when we enable fash aggregate hashmap (such as using VectorizedHashMapGenerator.scala).
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