Marcel Kornacker d7e22f44bb Partitioned hash joins ...

- added PlanNode.numNodes, PlanNode.avgRowSize and PlanNode.computeStats()
- fixing up some cardinality estimates
- Planner now tries to do a cost-based decision between broadcast join and join with full repartitioning (both inputs)
- ExchangeNode now distinguishes between its input and output row descriptor: the output potentially contains more tuples
- fixed problem related to cancellation and concurrent hash table builds.

Not included:
- partitioned joins that take advantage of existing partitions of the inputs; those will have to wait for a follow-on change

2014-01-08 10:49:29 -08:00

..

queries/PlannerTest

Partitioned hash joins

2014-01-08 10:49:29 -08:00

functional-planner_core.csv

Update benchmark tests to run against generic workload, data loading with scale factor, +more

2014-01-08 10:44:22 -08:00

functional-planner_dimensions.csv

Update benchmark tests to run against generic workload, data loading with scale factor, +more

2014-01-08 10:44:22 -08:00

functional-planner_exhaustive.csv

Update benchmark tests to run against generic workload, data loading with scale factor, +more

2014-01-08 10:44:22 -08:00

functional-planner_pairwise.csv

Update benchmark tests to run against generic workload, data loading with scale factor, +more

2014-01-08 10:44:22 -08:00