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Packages that use MapReduceOper | |
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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 |
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Methods in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer that return MapReduceOper | |
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MapReduceOper |
MRCompiler.getSortJob(POSort sort,
MapReduceOper quantJob,
FileSpec lFile,
FileSpec quantFile,
int rp,
Pair<Integer,Byte>[] fields)
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Methods in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer that return types with arguments of type MapReduceOper | |
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Pair<MapReduceOper,Integer> |
MRCompiler.getQuantileJob(POSort inpSort,
MapReduceOper prevJob,
FileSpec lFile,
FileSpec quantFile,
int rp,
Pair<Integer,Byte>[] fields)
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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 | |
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void |
MRCompiler.connectMapToReduceLimitedSort(MapReduceOper mro,
MapReduceOper sortMROp)
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Pair<MapReduceOper,Integer> |
MRCompiler.getQuantileJob(POSort inpSort,
MapReduceOper prevJob,
FileSpec lFile,
FileSpec quantFile,
int rp,
Pair<Integer,Byte>[] fields)
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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)
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void |
MRCompiler.simpleConnectMapToReduce(MapReduceOper mro)
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void |
CombinerOptimizer.visitMROp(MapReduceOper mr)
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void |
KeyTypeDiscoveryVisitor.visitMROp(MapReduceOper mr)
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void |
SampleOptimizer.visitMROp(MapReduceOper mr)
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Uses of MapReduceOper in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans |
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Methods in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans with parameters of type MapReduceOper | |
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protected String[] |
DotMRPrinter.getAttributes(MapReduceOper op)
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protected String |
DotMRPrinter.getName(MapReduceOper op)
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protected Collection<DotMRPrinter.InnerPlan> |
DotMRPrinter.getNestedPlans(MapReduceOper op)
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void |
EndOfAllInputSetter.visitMROp(MapReduceOper mr)
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void |
MROpPlanVisitor.visitMROp(MapReduceOper mr)
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void |
MRPrinter.visitMROp(MapReduceOper mr)
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void |
POPackageAnnotator.visitMROp(MapReduceOper mr)
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Constructor parameters in org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans with type arguments of type MapReduceOper | |
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MROpPlanVisitor(MROperPlan plan,
PlanWalker<MapReduceOper,MROperPlan> walker)
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