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https://issues.apache.org/jira/browse/SPARK-35744?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17366892#comment-17366892
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Erik Krogen commented on SPARK-35744:
-------------------------------------
[~steven.aerts] going a bit off topic from this JIRA, but out of curiosity --
is your work based off of SPARK-25789 / [PR
#22878|https://github.com/apache/spark/pull/22878]? We (LinkedIn) also maintain
an {{AvroEncoder}} for {{SpecificRecord}} classes which is based off of that
PR. We've also been planning to make another effort to push this upstream since
the attempt in #22878 eventually stalled. I'd be interested in learning more
about your work and potentially collaborating here.
> Performance degradation in avro SpecificRecordBuilders
> ------------------------------------------------------
>
> Key: SPARK-35744
> URL: https://issues.apache.org/jira/browse/SPARK-35744
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.2.0
> Reporter: Steven Aerts
> Priority: Minor
>
> Creating this bug to let you know that when we tested out spark 3.2.0 we saw
> a significant performance degradation where our code was handling Avro
> Specific Record objects. This slowed down some of our jobs with a factor 4.
> Spark 3.2.0 upsteps the avro version from 1.8.2 to 1.10.2.
> The degradation was caused by a change introduced in avro 1.9.0. This change
> degrades performance when creating avro specific records in certain
> classloader topologies, like the ones used in spark.
> We notified and [proposed|https://github.com/apache/avro/pull/1253] a simple
> fix upstream in the avro project. (Links contain more details)
> It is unclear for us how many other projects are using avro specific records
> in a spark context and will be impacted by this degradation.
> Feel free to close this issue if you think this issue is too much of a
> corner case.
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