gatorsmile commented on a change in pull request #27793: [SPARK-31037][SQL]
refine AQE config names
URL: https://github.com/apache/spark/pull/27793#discussion_r388135978
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -388,99 +397,99 @@ object SQLConf {
.internal()
.doc("Adaptive query execution is skipped when the query does not have
exchanges or " +
"sub-queries. By setting this config to true (together with " +
- s"'${ADAPTIVE_EXECUTION_ENABLED.key}' enabled), Spark will force apply
adaptive query " +
+ s"'${ADAPTIVE_EXECUTION_ENABLED.key}' set to true), Spark will force
apply adaptive query " +
"execution for all supported queries.")
.version("3.0.0")
.booleanConf
.createWithDefault(false)
- val REDUCE_POST_SHUFFLE_PARTITIONS_ENABLED =
- buildConf("spark.sql.adaptive.shuffle.reducePostShufflePartitions")
- .doc(s"When true and '${ADAPTIVE_EXECUTION_ENABLED.key}' is enabled,
this enables reducing " +
- "the number of post-shuffle partitions based on map output
statistics.")
+ val ADVISORY_PARTITION_SIZE_IN_BYTES =
+ buildConf("spark.sql.adaptive.advisoryPartitionSizeInBytes")
+ .doc("The advisory size in bytes of the shuffle partition during
adaptive optimization. " +
Review comment:
> The advisory size in bytes of the shuffle partition during adaptive
optimization (when '${ADAPTIVE_EXECUTION_ENABLED.key}' is true).
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