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Apache Spark commented on SPARK-34296: -------------------------------------- User 'AngersZhuuuu' has created a pull request for this issue: https://github.com/apache/spark/pull/31402 > AggregateWindowFunction#frame should not always use UnboundedPreceding > ---------------------------------------------------------------------- > > Key: SPARK-34296 > URL: https://issues.apache.org/jira/browse/SPARK-34296 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.0.2, 3.1.0, 3.2.0 > Reporter: Yuming Wang > Priority: Major > > How to reproduce this issue: > {code:sql} > CREATE TABLE test_unboundedpreceding(SELLER_ID INT) using parquet; > SELECT > DENSE_RANK() OVER ( > ORDER BY SELLER_ID ROWS BETWEEN 10 PRECEDING > AND CURRENT ROW > ) AS SELLER_RANK > FROM > test_unboundedpreceding > {code} > It will throw: > {noformat} > Error: Error running query: org.apache.spark.sql.AnalysisException: Window > Frame specifiedwindowframe(RowFrame, -10, currentrow$()) must match the > required frame specifiedwindowframe(RowFrame, unboundedpreceding$(), > currentrow$()); (state=,code=0) > {noformat} > Related code: > https://github.com/apache/spark/blob/cde697a479a2f67c6bc4281f39a1ab2ff6a9d17d/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala#L514 -- 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