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[SPARK-13274] Fix Aggregator Links on GroupedDataset Scala API #11158

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[SPARK-13274] Fix Aggregator Links on GroupedDataset Scala API #11158

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12 changes: 8 additions & 4 deletions sql/core/src/main/scala/org/apache/spark/sql/GroupedDataset.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,8 @@ class GroupedDataset[K, V] private[sql](
*
* This function does not support partial aggregation, and as a result requires shuffling all
* the data in the [[Dataset]]. If an application intends to perform an aggregation over each
* key, it is best to use the reduce function or an [[Aggregator]].
* key, it is best to use the reduce function or an
* [[org.apache.spark.sql.expressions#Aggregator Aggregator]].
*
* Internally, the implementation will spill to disk if any given group is too large to fit into
* memory. However, users must take care to avoid materializing the whole iterator for a group
Expand All @@ -128,7 +129,8 @@ class GroupedDataset[K, V] private[sql](
*
* This function does not support partial aggregation, and as a result requires shuffling all
* the data in the [[Dataset]]. If an application intends to perform an aggregation over each
* key, it is best to use the reduce function or an [[Aggregator]].
* key, it is best to use the reduce function or an
* [[org.apache.spark.sql.expressions#Aggregator Aggregator]].
*
* Internally, the implementation will spill to disk if any given group is too large to fit into
* memory. However, users must take care to avoid materializing the whole iterator for a group
Expand All @@ -148,7 +150,8 @@ class GroupedDataset[K, V] private[sql](
*
* This function does not support partial aggregation, and as a result requires shuffling all
* the data in the [[Dataset]]. If an application intends to perform an aggregation over each
* key, it is best to use the reduce function or an [[Aggregator]].
* key, it is best to use the reduce function or an
* [[org.apache.spark.sql.expressions#Aggregator Aggregator]].
*
* Internally, the implementation will spill to disk if any given group is too large to fit into
* memory. However, users must take care to avoid materializing the whole iterator for a group
Expand All @@ -169,7 +172,8 @@ class GroupedDataset[K, V] private[sql](
*
* This function does not support partial aggregation, and as a result requires shuffling all
* the data in the [[Dataset]]. If an application intends to perform an aggregation over each
* key, it is best to use the reduce function or an [[Aggregator]].
* key, it is best to use the reduce function or an
* [[org.apache.spark.sql.expressions#Aggregator Aggregator]].
*
* Internally, the implementation will spill to disk if any given group is too large to fit into
* memory. However, users must take care to avoid materializing the whole iterator for a group
Expand Down