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)

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

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

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

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

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

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

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

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

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

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

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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TreeSet is an implementation of SortedSet. All optional operations (adding and removing) are support
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