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

Best Java code snippets using backtype.storm.topology.InputDeclarer.localFirstGrouping (Showing top 12 results out of 315)

Common ways to obtain InputDeclarer

private void myMethod () {
 InputDeclarer i =BoltDeclarer boltDeclarer;String str;String str2;boltDeclarer.allGrouping(str, str2)
TopologyBuilder topologyBuilder;String str2;Number number;String str;topologyBuilder.setBolt(str2, new ExclamationBolt(), number).shuffleGrouping(str)
BoltDeclarer boltDeclarer;String str;boltDeclarer.shuffleGrouping(str)
Smart code suggestions by Tabnine
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(componentId, streamId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(component, streamId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(componentId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(componentId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(component);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(component, streamId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(component, streamId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(component, streamId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(componentId, streamId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(componentId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(componentId);
}

@Override
public void declare(InputDeclarer declarer) {
  declarer.localFirstGrouping(component);
}

Javadoc

There are 2 kind of tasks. (1) The tasks run on the same worker process, this kind of tasks have the highest priority. (2) The tasks run on the other worker process, lower priority

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.
grouping
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

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How to use localFirstGroupingmethodin backtype.storm.topology.InputDeclarer

Best Java code snippets using backtype.storm.topology.InputDeclarer.localFirstGrouping (Showing top 12 results out of 315)

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