spark-instrumented-optimizer/sql/catalyst/src/main
Ioana Delaney fbe4216e1e [SPARK-20233][SQL] Apply star-join filter heuristics to dynamic programming join enumeration
## What changes were proposed in this pull request?

Implements star-join filter to reduce the search space for dynamic programming join enumeration. Consider the following join graph:

```
T1       D1 - T2 - T3
  \     /
    F1
     |
    D2

star-join: {F1, D1, D2}
non-star: {T1, T2, T3}
```
The following join combinations will be generated:
```
level 0: (F1), (D1), (D2), (T1), (T2), (T3)
level 1: {F1, D1}, {F1, D2}, {T2, T3}
level 2: {F1, D1, D2}
level 3: {F1, D1, D2, T1}, {F1, D1, D2, T2}
level 4: {F1, D1, D2, T1, T2}, {F1, D1, D2, T2, T3 }
level 6: {F1, D1, D2, T1, T2, T3}
```

## How was this patch tested?

New test suite ```StarJOinCostBasedReorderSuite.scala```.

Author: Ioana Delaney <ioanamdelaney@gmail.com>

Closes #17546 from ioana-delaney/starSchemaCBOv3.
2017-04-13 22:27:04 +08:00
..
antlr4/org/apache/spark/sql/catalyst/parser [SPARK-19518][SQL] IGNORE NULLS in first / last in SQL 2017-04-10 17:45:27 +02:00
java/org/apache/spark/sql [SPARK-20057][SS] Renamed KeyedState to GroupState in mapGroupsWithState 2017-03-22 12:30:36 -07:00
scala/org/apache/spark/sql [SPARK-20233][SQL] Apply star-join filter heuristics to dynamic programming join enumeration 2017-04-13 22:27:04 +08:00