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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