Uses of Class
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceOper

Packages that use MapReduceOper
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer   
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans   
 

Uses of MapReduceOper in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer
 

Methods in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer that return MapReduceOper
 MapReduceOper MRCompiler.getSortJob(POSort sort, MapReduceOper quantJob, FileSpec lFile, FileSpec quantFile, int rp, Pair<Integer,Byte>[] fields)
           
 

Methods in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer that return types with arguments of type MapReduceOper
 Pair<MapReduceOper,Integer> MRCompiler.getQuantileJob(POSort inpSort, MapReduceOper prevJob, FileSpec lFile, FileSpec quantFile, int rp, Pair<Integer,Byte>[] fields)
           
protected  Pair<MapReduceOper,Integer> MRCompiler.getSamplingJob(POSort sort, MapReduceOper prevJob, List<PhysicalPlan> transformPlans, FileSpec lFile, FileSpec sampleFile, int rp, List<PhysicalPlan> sortKeyPlans, String udfClassName, String[] udfArgs, String sampleLdrClassName)
          Create a sampling job to collect statistics by sampling an input file.
 Pair<MapReduceOper,Integer> MRCompiler.getSkewedJoinSampleJob(POSkewedJoin op, MapReduceOper prevJob, FileSpec lFile, FileSpec sampleFile, int rp)
          Create Sampling job for skewed join.
 

Methods in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer with parameters of type MapReduceOper
 void MRCompiler.connectMapToReduceLimitedSort(MapReduceOper mro, MapReduceOper sortMROp)
           
 Pair<MapReduceOper,Integer> MRCompiler.getQuantileJob(POSort inpSort, MapReduceOper prevJob, FileSpec lFile, FileSpec quantFile, int rp, Pair<Integer,Byte>[] fields)
           
protected  Pair<MapReduceOper,Integer> MRCompiler.getSamplingJob(POSort sort, MapReduceOper prevJob, List<PhysicalPlan> transformPlans, FileSpec lFile, FileSpec sampleFile, int rp, List<PhysicalPlan> sortKeyPlans, String udfClassName, String[] udfArgs, String sampleLdrClassName)
          Create a sampling job to collect statistics by sampling an input file.
 Pair<MapReduceOper,Integer> MRCompiler.getSkewedJoinSampleJob(POSkewedJoin op, MapReduceOper prevJob, FileSpec lFile, FileSpec sampleFile, int rp)
          Create Sampling job for skewed join.
 MapReduceOper MRCompiler.getSortJob(POSort sort, MapReduceOper quantJob, FileSpec lFile, FileSpec quantFile, int rp, Pair<Integer,Byte>[] fields)
           
 void MRCompiler.simpleConnectMapToReduce(MapReduceOper mro)
           
 void CombinerOptimizer.visitMROp(MapReduceOper mr)
           
 void KeyTypeDiscoveryVisitor.visitMROp(MapReduceOper mr)
           
 void SampleOptimizer.visitMROp(MapReduceOper mr)
           
 

Uses of MapReduceOper in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans
 

Methods in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans with parameters of type MapReduceOper
protected  String[] DotMRPrinter.getAttributes(MapReduceOper op)
           
protected  String DotMRPrinter.getName(MapReduceOper op)
           
protected  Collection<DotMRPrinter.InnerPlan> DotMRPrinter.getNestedPlans(MapReduceOper op)
           
 void EndOfAllInputSetter.visitMROp(MapReduceOper mr)
           
 void MROpPlanVisitor.visitMROp(MapReduceOper mr)
           
 void MRPrinter.visitMROp(MapReduceOper mr)
           
 void POPackageAnnotator.visitMROp(MapReduceOper mr)
           
 

Constructor parameters in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans with type arguments of type MapReduceOper
MROpPlanVisitor(MROperPlan plan, PlanWalker<MapReduceOper,MROperPlan> walker)
           
 



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