[ https://issues.apache.org/jira/browse/SPARK-46092?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated SPARK-46092: ----------------------------------- Labels: pull-request-available (was: ) > Overflow in Parquet row group filter creation causes incorrect results > ---------------------------------------------------------------------- > > Key: SPARK-46092 > URL: https://issues.apache.org/jira/browse/SPARK-46092 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.5.0 > Reporter: Johan Lasperas > Priority: Major > Labels: pull-request-available > > While the parquet readers don't support reading parquet values into larger > Spark types, it's possible to trigger an overflow when creating a Parquet row > group filter that will then incorrectly skip row groups and bypass the > exception in the reader, > Repro: > {code:java} > Seq(0).toDF("a").write.parquet(path) > spark.read.schema("a LONG").parquet(path).where(s"a < > ${Long.MaxValue}").collect(){code} > This succeeds and returns no results. This should either fail if the Parquet > reader doesn't support the upcast from int to long or produce result `[0]` if > it does. -- 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