spark-instrumented-optimizer/sql/core/src/main
Yin Huai 67bd8e3c21 [SQL] Set outputPartitioning of BroadcastHashJoin correctly.
I think we will not generate the plan triggering this bug at this moment. But, let me explain it...

Right now, we are using `left.outputPartitioning` as the `outputPartitioning` of a `BroadcastHashJoin`. We may have a wrong physical plan for cases like...
```sql
SELECT l.key, count(*)
FROM (SELECT key, count(*) as cnt
      FROM src
      GROUP BY key) l // This is buildPlan
JOIN r // This is the streamedPlan
ON (l.cnt = r.value)
GROUP BY l.key
```
Let's say we have a `BroadcastHashJoin` on `l` and `r`. For this case, we will pick `l`'s `outputPartitioning` for the `outputPartitioning`of the `BroadcastHashJoin` on `l` and `r`. Also, because the last `GROUP BY` is using `l.key` as the key, we will not introduce an `Exchange` for this aggregation. However, `r`'s outputPartitioning may not match the required distribution of the last `GROUP BY` and we fail to group data correctly.

JIRA is being reindexed. I will create a JIRA ticket once it is back online.

Author: Yin Huai <huai@cse.ohio-state.edu>

Closes #1735 from yhuai/BroadcastHashJoin and squashes the following commits:

96d9cb3 [Yin Huai] Set outputPartitioning correctly.
2014-08-02 13:16:41 -07:00
..
java/org/apache/spark/sql/api/java [SPARK-2179][SQL] A minor refactoring Java data type APIs (2179 follow-up). 2014-08-01 11:14:53 -07:00
scala/org/apache/spark/sql [SQL] Set outputPartitioning of BroadcastHashJoin correctly. 2014-08-02 13:16:41 -07:00