blob: 15d971610b7f31b091925dbaece2c27238196e92 [file] [log] [blame]
#--------------------------------------------------
# There are 1 DAGs in the session
#--------------------------------------------------
#--------------------------------------------------
# TEZ DAG plan: pig-0_scope-0
#--------------------------------------------------
Tez vertex scope-24 -> Tez vertex scope-32,
Tez vertex scope-32 -> Tez vertex scope-22,
Tez vertex scope-22
Tez vertex scope-24
# Plan on vertex
Local Rearrange[tuple]{tuple}(false) - scope-34 -> scope-32
| |
| Project[tuple][*] - scope-33
|
|---a: Load(file:///tmp/input1:org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MergeJoinIndexer('org.apache.pig.test.TestMapSideCogroup$DummyCollectableLoader','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','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','a_1-0','scope','false')) - scope-31
Tez vertex scope-32
# Plan on vertex
POValueOutputTez - scope-38 -> [scope-22]
|
|---New For Each(true)[bag] - scope-37
| |
| Project[tuple][1] - scope-36
|
|---Package(Packager)[tuple]{tuple} - scope-35
Tez vertex scope-22
# Plan on vertex
c: Store(file:///tmp/pigoutput:org.apache.pig.builtin.PigStorage) - scope-21
|
|---c: MergeCogroupTez[tuple] - scope-20 <- scope-32
|
|---a: New For Each(false,false)[bag] - scope-7
| |
| Cast[int] - scope-2
| |
| |---Project[bytearray][0] - scope-1
| |
| Cast[int] - scope-5
| |
| |---Project[bytearray][1] - scope-4
|
|---a: Load(file:///tmp/input1:org.apache.pig.test.TestMapSideCogroup$DummyCollectableLoader) - scope-0