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InputDeclarer.grouping
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How to use
grouping
method
in
backtype.storm.topology.InputDeclarer

Best Java code snippets using backtype.storm.topology.InputDeclarer.grouping (Showing top 10 results out of 315)

origin: alibaba/jstorm

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}
origin: alibaba/jstorm

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}                
origin: alibaba/jstorm

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}
origin: alibaba/mdrill

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}                
origin: com.n3twork.storm/storm-core

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}                
origin: com.n3twork.storm/storm-core

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}                
origin: com.n3twork.storm/storm-core

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}                
origin: com.alibaba.jstorm/jstorm-core

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}
origin: com.alibaba.jstorm/jstorm-core

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}
origin: com.alibaba.jstorm/jstorm-core

@Override
public void declare(InputDeclarer declarer) {
  declarer.grouping(stream, grouping);
}                
backtype.storm.topologyInputDeclarergrouping

Popular methods of InputDeclarer

  • shuffleGrouping
    Recommend to use localOrShuffleGrouping Tuples are randomly distributed across the bolt's tasks in a
  • directGrouping
    A stream grouped this way means that the producer of the tuple decides which task of the consumer wi
  • fieldsGrouping
    The stream is partitioned by the fields specified in the grouping.
  • globalGrouping
    The entire stream goes to a single one of the bolt's tasks. Specifically, it goes to the task with t
  • allGrouping
    The stream is replicated across all the bolt's tasks. Use this grouping with care.
  • customGrouping
    A custom stream grouping by implementing the CustomStreamGrouping interface.
  • noneGrouping
    This grouping specifies that you don't care how the stream is grouped.
  • localOrShuffleGrouping
    There are 3 kind of tasks. (1) The tasks run on the same worker process, this kind of tasks have the
  • localFirstGrouping

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