Github user tdas commented on the issue:
https://github.com/apache/spark/pull/17179
Aah. Let me test with that then. At least if this breaks there should be a
test that fails.
On Fri, Mar 17, 2017 at 1:10 PM, Shixiong Zhu <[email protected]>
wrote:
> *@zsxwing* commented on this pull request.
> ------------------------------
>
> In sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/
> FlatMapGroupsWithStateExec.scala
> <https://github.com/apache/spark/pull/17179#discussion_r106736186>:
>
> > + child.execute().mapPartitionsWithStateStore[InternalRow](
> + getStateId.checkpointLocation,
> + getStateId.operatorId,
> + getStateId.batchId,
> + groupingAttributes.toStructType,
> + stateAttributes.toStructType,
> + sqlContext.sessionState,
> + Some(sqlContext.streams.stateStoreCoordinator)) { case (store,
iterator) =>
> + val updater = new StateStoreUpdater(store)
> +
> + // Generate a iterator that returns the rows grouped by the
grouping function
> + // Note that this code ensures that the filtering for timeout
occurs only after
> + // all the data has been processed. This is to ensure that the
timeout information of all
> + // the keys with data is updated before they are processed for
timeouts.
> + val outputIterator =
> + Seq(
>
> The parameter in Iterator.++ is call-by-name: def ++[B >: A](that: =>
> GenTraversableOnce[B]): Iterator[B]
>
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