Uses of Package
org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators

Packages that use org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer   
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans   
org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans   
org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators   
org.apache.pig.backend.hadoop.streaming   
org.apache.pig.backend.local.executionengine.physicalLayer.relationalOperators   
org.apache.pig.impl.streaming   
 

Classes in org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators used by org.apache.pig.backend.hadoop.executionengine.mapReduceLayer
PODistinct
          Find the distinct set of tuples in a bag.
POFilter
          This is an implementation of the Filter operator.
POForEach
           
POFRJoin
          The operator models the join keys using the Local Rearrange operators which are configured with the plan specified by the user.
POGlobalRearrange
          Dummy operator to test MRCompiler.
POLimit
           
POLoad
          The load operator which is used in two ways: 1) As a local operator it can be used to load files 2) In the Map Reduce setting, it is used to create jobs from MapReduce operators which keep the loads and stores in the Map and Reduce Plans till the job is created
POLocalRearrange
          The local rearrange operator is a part of the co-group implementation.
POPackage
          The package operator that packages the globally rearranged tuples into output format as required by co-group.
POSort
          This implementation is applicable for both the physical plan and for the local backend, as the conversion of physical to mapreduce would see the SORT operator and take necessary steps to convert it to a quantile and a sort job.
POSplit
          The MapReduce Split operator.
POStore
          The store operator which is used in two ways: 1) As a local operator it can be used to store files 2) In the Map Reduce setting, it is used to create jobs from MapReduce operators which keep the loads and stores in the Map and Reduce Plans till the job is created
POStream
           
POUnion
          The union operator that combines the two inputs into a single stream.
 

Classes in org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators used by org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans
POSort
          This implementation is applicable for both the physical plan and for the local backend, as the conversion of physical to mapreduce would see the SORT operator and take necessary steps to convert it to a quantile and a sort job.
 

Classes in org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators used by org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans
POCombinerPackage
          The package operator that packages the globally rearranged tuples into output format after the combiner stage.
PODistinct
          Find the distinct set of tuples in a bag.
POFilter
          This is an implementation of the Filter operator.
POForEach
           
POFRJoin
          The operator models the join keys using the Local Rearrange operators which are configured with the plan specified by the user.
POGlobalRearrange
          Dummy operator to test MRCompiler.
POJoinPackage
           
POLimit
           
POLoad
          The load operator which is used in two ways: 1) As a local operator it can be used to load files 2) In the Map Reduce setting, it is used to create jobs from MapReduce operators which keep the loads and stores in the Map and Reduce Plans till the job is created
POLocalRearrange
          The local rearrange operator is a part of the co-group implementation.
POLocalRearrangeForIllustrate
          The local rearrange operator is a part of the co-group implementation.
POOptimizedForEach
          A specialized version of POForeach with the difference that in getNext(), it knows that "input" has already been attached by its input operator which SHOULD be POJoinPackage
POPackage
          The package operator that packages the globally rearranged tuples into output format as required by co-group.
POPreCombinerLocalRearrange
          A specialized local rearrange operator which behaves like the regular local rearrange in the getNext() as far as getting its input and constructing the "key" out of the input.
PORead
          This operator is used to read tuples from a databag in memory.
POSort
          This implementation is applicable for both the physical plan and for the local backend, as the conversion of physical to mapreduce would see the SORT operator and take necessary steps to convert it to a quantile and a sort job.
POSplit
          The MapReduce Split operator.
POStore
          The store operator which is used in two ways: 1) As a local operator it can be used to store files 2) In the Map Reduce setting, it is used to create jobs from MapReduce operators which keep the loads and stores in the Map and Reduce Plans till the job is created
POStream
           
POUnion
          The union operator that combines the two inputs into a single stream.
 

Classes in org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators used by org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators
PODistinct
          Find the distinct set of tuples in a bag.
POForEach
           
POLocalRearrange
          The local rearrange operator is a part of the co-group implementation.
POLocalRearrangeForIllustrate
          The local rearrange operator is a part of the co-group implementation.
POOptimizedForEach
          A specialized version of POForeach with the difference that in getNext(), it knows that "input" has already been attached by its input operator which SHOULD be POJoinPackage
POPackage
          The package operator that packages the globally rearranged tuples into output format as required by co-group.
POSort
          This implementation is applicable for both the physical plan and for the local backend, as the conversion of physical to mapreduce would see the SORT operator and take necessary steps to convert it to a quantile and a sort job.
 

Classes in org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators used by org.apache.pig.backend.hadoop.streaming
POStream
           
 

Classes in org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators used by org.apache.pig.backend.local.executionengine.physicalLayer.relationalOperators
POStream
           
 

Classes in org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators used by org.apache.pig.impl.streaming
POStream
           
 



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