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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/02/02 22:07:00 UTC
[jira] [Assigned] (SPARK-34336) Use GenericData as Avro
serialization data model can improve Avro write/read performance
[ https://issues.apache.org/jira/browse/SPARK-34336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-34336:
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Assignee: (was: Apache Spark)
> Use GenericData as Avro serialization data model can improve Avro write/read performance
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-34336
> URL: https://issues.apache.org/jira/browse/SPARK-34336
> Project: Spark
> Issue Type: Improvement
> Components: Input/Output, SQL
> Affects Versions: 3.1.2
> Reporter: Baohe Zhang
> Priority: Major
> Attachments: base_read.txt, base_write.txt, generic_data_read.txt, generic_data_write.txt, read_comparison.png, write_comparison.png
>
>
> We found that using "org.apache.avro.generic.GenericData" as Avro serialization data model in Avro writer can significantly improve Avro write performance and slightly improve Avro read performance.
> This optimization was originally put up by [~samkhan] in this PR https://github.com/apache/spark/pull/29354.
> We re-evaluated the change "Use GenericData instead of ReflectData when writing Avro data" in that PR and verified it can provide performance improvement in Avro write/read benchmarks.
> The base branch is today(2/2/21)'s branch-3.1.
> Besides current Avro read/write benchmarks, I also ran some extra benchmarks for nested structs and arrays read/write, these benchmarks were put up in this PR https://github.com/apache/spark/pull/29352 but haven't been merged.
> Benchmark results are added in the comment.
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