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[SPARK-21884][SQL][BRANCH-2.2] Fix StackOverflowError on MetadataOnlyQuery #19094

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[SPARK-21884][SQL][BRANCH-2.2] Fix StackOverflowError on MetadataOnlyQuery #19094

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3 changes: 2 additions & 1 deletion sql/core/src/main/scala/org/apache/spark/sql/execution/OptimizeMetadataOnlyQuery.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,8 @@ case class OptimizeMetadataOnlyQuery(
case l @ LogicalRelation(fsRelation: HadoopFsRelation, _, _) =>
val partAttrs = getPartitionAttrs(fsRelation.partitionSchema.map(_.name), l)
val partitionData = fsRelation.location.listFiles(Nil, Nil)
LocalRelation(partAttrs, partitionData.map(_.values))
// `toArray` forces materialization to make the seq serializable
LocalRelation(partAttrs, partitionData.map(_.values).toArray)

case relation: HiveTableRelation =>
val partAttrs = getPartitionAttrs(relation.tableMeta.partitionColumnNames, relation)
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8 changes: 8 additions & 0 deletions sql/core/src/test/scala/org/apache/spark/sql/execution/OptimizeMetadataOnlyQuerySuite.scala
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Expand Up @@ -117,4 +117,12 @@ class OptimizeMetadataOnlyQuerySuite extends QueryTest with SharedSQLContext {
"select partcol1, max(partcol2) from srcpart where partcol1 = 0 group by rollup (partcol1)",
"select partcol2 from (select partcol2 from srcpart where partcol1 = 0 union all " +
"select partcol2 from srcpart where partcol1 = 1) t group by partcol2")

test("SPARK-21884 Fix StackOverflowError on MetadataOnlyQuery") {
withTable("t_1000") {
sql("CREATE TABLE t_1000 (a INT, p INT) USING PARQUET PARTITIONED BY (p)")
(1 to 1000).foreach(p => sql(s"ALTER TABLE t_1000 ADD PARTITION (p=$p)"))
sql("SELECT COUNT(DISTINCT p) FROM t_1000").collect()
}
}
}