andygrove opened a new issue, #4192: URL: https://github.com/apache/datafusion-comet/issues/4192
Sub-issue of #4098. ## Description Two tests fail in both \`Spark 4.1, JDK 17/auto [parquet]\` (Linux) and \`macos-14/Spark 4.1, JDK 17, Scala 2.13 [parquet]\`: - \`native reader - select struct field with user defined schema - native_datafusion\` - \`native reader - select struct field with user defined schema - native_iceberg_compat\` Symptom: \`Results do not match for query\`. The schema involved is \`c0: struct<y:int,x:string>\` over a parquet relation. Comet's native reader returns different rows than Spark. ## Suspected root cause Spark 4.1 likely changed how user-supplied struct schemas are reconciled with on-disk Parquet field order, or field pruning behaves differently. Compare Spark 4.0 vs 4.1 planning output for this query and check whether user-schema field-name-vs-position behavior changed in \`ParquetReadSupport\` or \`ParquetSchemaConverter\`. ## Where The test currently has \`assume(!isSpark41Plus, "https://github.com/apache/datafusion-comet/issues/4098";)\` in \`spark/src/test/scala/org/apache/comet/exec/CometNativeReaderSuite.scala\` (test name "native reader - select struct field with user defined schema"). -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
