cloud-fan commented on a change in pull request #26434: [SPARK-29544] [SQL]
optimize skewed partition based on data size
URL: https://github.com/apache/spark/pull/26434#discussion_r355966211
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -410,6 +410,28 @@ object SQLConf {
.booleanConf
.createWithDefault(true)
+ val ADAPTIVE_EXECUTION_SKEWED_JOIN_ENABLED =
+ buildConf("spark.sql.adaptive.optimizeSkewedJoin.enabled")
+ .doc("When true and adaptive execution is enabled, a skewed join is
automatically handled at " +
+ "runtime.")
+ .booleanConf
+ .createWithDefault(true)
+
+ val ADAPTIVE_EXECUTION_SKEWED_PARTITION_SIZE_THRESHOLD =
+
buildConf("spark.sql.adaptive.optimizeSkewedJoin.skewedPartitionSizeThreshold")
+ .doc("Configures the minimum size in bytes for a partition that is
considered as a skewed " +
+ "partition in adaptive skewed join.")
+ .longConf
Review comment:
nit:
```
.bytesConf(ByteUnit.BYTE)
.createWithDefault(64 * 1024 * 1024)
```
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