diff options
Diffstat (limited to 'sql')
| -rw-r--r-- | sql/core/src/main/scala/org/apache/spark/sql/GroupedDataset.scala | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/GroupedDataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/GroupedDataset.scala index c0e28f2dc5..53cb8eb524 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/GroupedDataset.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/GroupedDataset.scala @@ -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 @@ -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 @@ -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 @@ -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 |