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Yi Zhang commented on SPARK-41650: ---------------------------------- [~gurwls223] , [~viirya] can you help look into this? > json expressions much slower in optimized mode > ---------------------------------------------- > > Key: SPARK-41650 > URL: https://issues.apache.org/jira/browse/SPARK-41650 > Project: Spark > Issue Type: Bug > Components: Spark Core, Structured Streaming > Affects Versions: 3.2.2 > Reporter: Yi Zhang > Priority: Major > > I noticed spark structured streaming reading from Kafka json string into > struct type is much slower in spark-3.1+ than spark-3.0. Profiling reveals > the json expressions in spark-3.0 mostly on evaluate subExpr, while > spark-3.1/3.2 spent a lot time on writeField. > Suspect this may be related to SPARK-32948, so I tried with add a bogus > option > from_json($"value", mySchema, Map("bogus_key"-> "bogus_value") > this turns off the optimization and the performance is much better. For > reference, > for same amount #records, it is 30 seconds vs. 3 minute on a task processing > 500k records. This is big difference for a streaming job. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org