GitHub user seyfe opened a pull request:
https://github.com/apache/spark/pull/15706
[SPARK-18189] [Core] Fix serialization issue in KeyValueGroupedDataset
## What changes were proposed in this pull request?
Likewise
[DataSet.scala](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala#L156)
KeyValueGroupedDataset should mark the queryExecution as transient.
As mentioned in the Jira ticket, without @transient we saw serialization
issues like
```
Caused by: java.io.NotSerializableException:
org.apache.spark.sql.execution.QueryExecution
Serialization stack:
- object not serializable (class:
org.apache.spark.sql.execution.QueryExecution, value: ==
```
## How was this patch tested?
Run the query which is specified in the Jira ticket before and after:
```
val a =
spark.createDataFrame(sc.parallelize(Seq((1,2),(3,4)))).as[(Int,Int)]
val grouped = a.groupByKey(
{x:(Int,Int)=>x._1}
)
val mappedGroups = grouped.mapGroups((k,x)=>
{(k,1)}
)
val yyy = sc.broadcast(1)
val last = mappedGroups.rdd.map(xx=>
{ val simpley = yyy.value 1 }
)
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/seyfe/spark keyvaluegrouped_serialization
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15706.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #15706
----
commit 07160b93130ba58c29e516368354fea86e5e8865
Author: Ergin Seyfe <[email protected]>
Date: 2016-11-01T00:02:35Z
Make queryExecution transient for KeyValueGroupedDataset
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