spark-instrumented-optimizer/sql/catalyst/src
wangzhenhua 321b4f03bc [SPARK-20366][SQL] Fix recursive join reordering: inside joins are not reordered
## What changes were proposed in this pull request?

If a plan has multi-level successive joins, e.g.:
```
         Join
         /   \
     Union   t5
      /   \
    Join  t4
    /   \
  Join  t3
  /  \
 t1   t2
```
Currently we fail to reorder the inside joins, i.e. t1, t2, t3.

In join reorder, we use `OrderedJoin` to indicate a join has been ordered, such that when transforming down the plan, these joins don't need to be rerodered again.

But there's a problem in the definition of `OrderedJoin`:
The real join node is a parameter, but not a child. This breaks the transform procedure because `mapChildren` applies transform function on parameters which should be children.

In this patch, we change `OrderedJoin` to a class having the same structure as a join node.

## How was this patch tested?

Add a corresponding test case.

Author: wangzhenhua <wangzhenhua@huawei.com>

Closes #17668 from wzhfy/recursiveReorder.
2017-04-18 20:12:21 +08:00
..
main [SPARK-20366][SQL] Fix recursive join reordering: inside joins are not reordered 2017-04-18 20:12:21 +08:00
test [SPARK-20366][SQL] Fix recursive join reordering: inside joins are not reordered 2017-04-18 20:12:21 +08:00