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[SPARK-8160][SQL]Support using external sorting to run aggregate #6875

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[SPARK-8160][SQL]Support using external sorting to run aggregate #6875

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674b66c
add sortmerge-aggregate
lianhuiwang Jun 18, 2015
daab5ba
rm unused file
lianhuiwang Jun 18, 2015
44a3e62
fix scala style
lianhuiwang Jun 18, 2015
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9 changes: 9 additions & 0 deletions sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -54,6 +54,7 @@ private[spark] object SQLConf {
// considered hints and may be ignored by future versions of Spark SQL.
val EXTERNAL_SORT = "spark.sql.planner.externalSort"
val SORTMERGE_JOIN = "spark.sql.planner.sortMergeJoin"
val SORTMERGE_AGGREGATE = "spark.sql.planner.sortMergeAggregate"

// This is only used for the thriftserver
val THRIFTSERVER_POOL = "spark.sql.thriftserver.scheduler.pool"
Expand Down Expand Up @@ -170,6 +171,14 @@ private[sql] class SQLConf extends Serializable with CatalystConf {
*/
private[spark] def sortMergeJoinEnabled: Boolean = getConf(SORTMERGE_JOIN, "false").toBoolean

/**
* Sort merge aggregate would sort the group key first, then iterate a group to get aggregation,
* then move to next group. Using sort merge aggregate can save a lot of memory usage compared
* to HashAggregate.
*/
private[spark] def sortMergeAggregateEnabled: Boolean =
getConf(SORTMERGE_AGGREGATE, "false").toBoolean

/**
* When set to true, Spark SQL will use the Janino at runtime to generate custom bytecode
* that evaluates expressions found in queries. In general this custom code runs much faster
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