public static interface MRRuntimeProtos.MRSplitsProtoOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description | 
|---|---|
MRRuntimeProtos.MRSplitProto | 
getSplits(int index)
repeated .MRSplitProto splits = 2; | 
int | 
getSplitsCount()
repeated .MRSplitProto splits = 2; | 
List<MRRuntimeProtos.MRSplitProto> | 
getSplitsList()
repeated .MRSplitProto splits = 2; | 
MRRuntimeProtos.MRSplitProtoOrBuilder | 
getSplitsOrBuilder(int index)
repeated .MRSplitProto splits = 2; | 
List<? extends MRRuntimeProtos.MRSplitProtoOrBuilder> | 
getSplitsOrBuilderList()
repeated .MRSplitProto splits = 2; | 
int | 
getVersion()
optional int32 version = 1; | 
boolean | 
hasVersion()
optional int32 version = 1; | 
boolean hasVersion()
optional int32 version = 1;int getVersion()
optional int32 version = 1;List<MRRuntimeProtos.MRSplitProto> getSplitsList()
repeated .MRSplitProto splits = 2;
 May be useful to have a single large field to serialize all splits and use CodedInputStream to read these efficiently (via a Writable/Hadoop serialization wrapper).
MRRuntimeProtos.MRSplitProto getSplits(int index)
repeated .MRSplitProto splits = 2;
 May be useful to have a single large field to serialize all splits and use CodedInputStream to read these efficiently (via a Writable/Hadoop serialization wrapper).
int getSplitsCount()
repeated .MRSplitProto splits = 2;
 May be useful to have a single large field to serialize all splits and use CodedInputStream to read these efficiently (via a Writable/Hadoop serialization wrapper).
List<? extends MRRuntimeProtos.MRSplitProtoOrBuilder> getSplitsOrBuilderList()
repeated .MRSplitProto splits = 2;
 May be useful to have a single large field to serialize all splits and use CodedInputStream to read these efficiently (via a Writable/Hadoop serialization wrapper).
MRRuntimeProtos.MRSplitProtoOrBuilder getSplitsOrBuilder(int index)
repeated .MRSplitProto splits = 2;
 May be useful to have a single large field to serialize all splits and use CodedInputStream to read these efficiently (via a Writable/Hadoop serialization wrapper).
Copyright © 2016 Apache Software Foundation. All rights reserved.