Aaron Lewis created SPARK-29503: ----------------------------------- Summary: MapObjects doesn't copy Unsafe data when nested under Safe data Key: SPARK-29503 URL: https://issues.apache.org/jira/browse/SPARK-29503 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 2.1.1, 3.0.0 Reporter: Aaron Lewis
In order for MapObjects to operate safely, it checks to see if the result of the mapping function is an Unsafe type (UnsafeRow, UnsafeArrayData, UnsafeMapData) and performs a copy before writing it into MapObjects' output array. This is to protect against expressions which re-use the same native memory buffer to represent its result across evaluations; if the copy wasn't here, all results would be pointing to the same native buffer and would represent the last result written to the buffer. However, MapObjects misses this needed copy if the Unsafe data is nested below some safe structure, for instance a GenericArrrayData whose elements are all UnsafeRows. In this scenario, all elements of the GenericArrayData will be pointing to the same native UnsafeRow buffer which will hold the last value written to it. Right now, this bug seems to only occur when a `ProjectExec` goes down the `execute` path, as opposed to WholeStageCodegen's `produce` and `consume` path. Example Reproduction Code: {code:scala} import org.apache.spark.sql.catalyst.expressions.objects.MapObjects import org.apache.spark.sql.catalyst.expressions.CreateArray import org.apache.spark.sql.catalyst.expressions.Expression import org.apache.spark.sql.functions.{array, struct} import org.apache.spark.sql.Column import org.apache.spark.sql.types.ArrayType // For the purpose of demonstration, we need to disable WholeStage codegen spark.conf.set("spark.sql.codegen.wholeStage", "false") val exampleDS = spark.sparkContext.parallelize(Seq(Seq(1, 2, 3))).toDF("items") // Trivial example: Nest unsafe struct inside safe array // items: Seq[Int] => items.map{item => Seq(Struct(item))} val result = exampleDS.select( new Column(MapObjects( {item: Expression => array(struct(new Column(item))).expr}, $"items".expr, exampleDS.schema("items").dataType.asInstanceOf[ArrayType].elementType )) as "items" ) result.show(10, false) {code} Actual Output: {code:java} +---------------------------------------------------------+ |items | +---------------------------------------------------------+ |[WrappedArray([3]), WrappedArray([3]), WrappedArray([3])]| +---------------------------------------------------------+ {code} Expected Output: {code:java} +---------------------------------------------------------+ |items | +---------------------------------------------------------+ |[WrappedArray([1]), WrappedArray([2]), WrappedArray([3])]| +---------------------------------------------------------+ {code} We've confirmed that the bug exists on version 2.1.1 as well as on master (which I assume corresponds to version 3.0.0?) -- 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