Pajaraja commented on code in PR #49955:
URL: https://github.com/apache/spark/pull/49955#discussion_r2000904956
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sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
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@@ -4537,6 +4537,22 @@ object SQLConf {
.checkValues(LegacyBehaviorPolicy.values.map(_.toString))
.createWithDefault(LegacyBehaviorPolicy.CORRECTED.toString)
+ val CTE_RECURSION_LEVEL_LIMIT = buildConf("spark.sql.cteRecursionLevelLimit")
+ .doc("Maximum level of recursion that is allowed while executing a
recursive CTE definition." +
+ "If a query does not get exhausted before reaching this limit it fails.
Use -1 for " +
+ "unlimited.")
+ .version("4.0.0")
+ .intConf
+ .createWithDefault(100)
+
+ val CTE_RECURSION_ROW_LIMIT = buildConf("spark.sql.cteRecursionRowLimit")
+ .doc("Maximum number of rows that can be returned when executing a
recursive CTE definition." +
+ "If a query does not get exhausted before reaching this limit it fails.
Use -1 for " +
+ "unlimited.")
+ .version("4.0.0")
+ .intConf
+ .createWithDefault(1000)
Review Comment:
Peter suggested it in the case that the num of rows grows exponentially,
which I think makes sense. The default value should probably be bigger though.
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