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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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org