cloud-fan commented on a change in pull request #20303: [SPARK-23128][SQL] A
new approach to do adaptive execution in Spark SQL
URL: https://github.com/apache/spark/pull/20303#discussion_r265890974
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -278,18 +278,23 @@ object SQLConf {
val ADAPTIVE_EXECUTION_ENABLED = buildConf("spark.sql.adaptive.enabled")
.doc("When true, enable adaptive query execution.")
.booleanConf
- .createWithDefault(false)
+ .createWithDefault(true)
val SHUFFLE_MIN_NUM_POSTSHUFFLE_PARTITIONS =
buildConf("spark.sql.adaptive.minNumPostShufflePartitions")
- .internal()
- .doc("The advisory minimal number of post-shuffle partitions provided to
" +
- "ExchangeCoordinator. This setting is used in our test to make sure we
" +
- "have enough parallelism to expose issues that will not be exposed
with a " +
- "single partition. When the value is a non-positive value, this
setting will " +
- "not be provided to ExchangeCoordinator.")
+ .doc("The advisory minimum number of post-shuffle partitions used in
adaptive execution.")
.intConf
- .createWithDefault(-1)
+ .checkValue(numPartitions => numPartitions > 0, "The minimum shuffle
partition number " +
Review comment:
super nit: we can simply write `_ > 0`
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