blob: 9018a240c10607ba98c31f607edb36e149add417 [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