JoshRosen commented on code in PR #37104:
URL: https://github.com/apache/spark/pull/37104#discussion_r916167619
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sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
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@@ -3024,12 +3024,15 @@ object SQLConf {
val TOP_K_SORT_FALLBACK_THRESHOLD =
buildConf("spark.sql.execution.topKSortFallbackThreshold")
- .doc("In SQL queries with a SORT followed by a LIMIT like " +
+ .doc("In SQL queries with a SORT followed by a LIMIT or maximum number
of rows exists like " +
"'SELECT x FROM t ORDER BY y LIMIT m', if m is under this threshold,
do a top-K sort" +
" in memory, otherwise do a global sort which spills to disk if
necessary.")
.version("2.4.0")
.intConf
- .createWithDefault(ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH)
+ .checkValue(_ <= ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH,
+ "The top-K sort fallback threshold should be less than or equal to " +
+ s"${ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH}.")
+ .createWithDefault(5000000)
Review Comment:
+1; I don't think we should change the default in this PR.
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