InputDeclarer (Storm 2.2.0 API)

All Known Subinterfaces:

BoltDeclarer

All Known Implementing Classes:

TopologyBuilder.BoltGetter
```
public interface InputDeclarer<T extends InputDeclarer>
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`T`	`allGrouping(String componentId)` The stream is replicated across all the bolt’s tasks.
`T`	`allGrouping(String componentId, String streamId)` The stream is replicated across all the bolt’s tasks.
`T`	`customGrouping(String componentId, CustomStreamGrouping grouping)` A custom stream grouping by implementing the CustomStreamGrouping interface.
`T`	`customGrouping(String componentId, String streamId, CustomStreamGrouping grouping)` A custom stream grouping by implementing the CustomStreamGrouping interface.
`T`	`directGrouping(String componentId)` A stream grouped this way means that the producer of the tuple decides which task of the consumer will receive this tuple.
`T`	`directGrouping(String componentId, String streamId)` A stream grouped this way means that the producer of the tuple decides which task of the consumer will receive this tuple.
`T`	`fieldsGrouping(String componentId, Fields fields)` The stream is partitioned by the fields specified in the grouping.
`T`	`fieldsGrouping(String componentId, String streamId, Fields fields)` The stream is partitioned by the fields specified in the grouping.
`T`	`globalGrouping(String componentId)` The entire stream goes to a single one of the bolt’s tasks.
`T`	`globalGrouping(String componentId, String streamId)` The entire stream goes to a single one of the bolt’s tasks.
`T`	`grouping(GlobalStreamId id, Grouping grouping)`
`T`	`localOrShuffleGrouping(String componentId)` If the target bolt has one or more tasks in the same worker process, tuples will be shuffled to just those in-process tasks.
`T`	`localOrShuffleGrouping(String componentId, String streamId)` If the target bolt has one or more tasks in the same worker process, tuples will be shuffled to just those in-process tasks.
`T`	`noneGrouping(String componentId)` This grouping specifies that you don’t care how the stream is grouped.
`T`	`noneGrouping(String componentId, String streamId)` This grouping specifies that you don’t care how the stream is grouped.
`T`	`partialKeyGrouping(String componentId, Fields fields)` Tuples are passed to two hashing functions and each target task is decided based on the comparison of the state of candidate nodes.
`T`	`partialKeyGrouping(String componentId, String streamId, Fields fields)` Tuples are passed to two hashing functions and each target task is decided based on the comparison of the state of candidate nodes.
`T`	`shuffleGrouping(String componentId)` Tuples are randomly distributed across the bolt’s tasks in a way such that each bolt is guaranteed to get an equal number of tuples.
`T`	`shuffleGrouping(String componentId, String streamId)` Tuples are randomly distributed across the bolt’s tasks in a way such that each bolt is guaranteed to get an equal number of tuples.

- Method Detail
  - fieldsGrouping
```
T fieldsGrouping(String componentId,
                 Fields fields)
```
    The stream is partitioned by the fields specified in the grouping.
  - fieldsGrouping
```
T fieldsGrouping(String componentId,
                 String streamId,
                 Fields fields)
```
    The stream is partitioned by the fields specified in the grouping.
  - globalGrouping
```
T globalGrouping(String componentId)
```
    The entire stream goes to a single one of the bolt’s tasks. Specifically, it goes to the task with the lowest id.
  - globalGrouping
```
T globalGrouping(String componentId,
                 String streamId)
```
    The entire stream goes to a single one of the bolt’s tasks. Specifically, it goes to the task with the lowest id.
  - shuffleGrouping
```
T shuffleGrouping(String componentId)
```
    Tuples are randomly distributed across the bolt’s tasks in a way such that each bolt is guaranteed to get an equal number of tuples.
  - shuffleGrouping
```
T shuffleGrouping(String componentId,
                  String streamId)
```
    Tuples are randomly distributed across the bolt’s tasks in a way such that each bolt is guaranteed to get an equal number of tuples.
  - localOrShuffleGrouping
```
T localOrShuffleGrouping(String componentId)
```
    If the target bolt has one or more tasks in the same worker process, tuples will be shuffled to just those in-process tasks. Otherwise, this acts like a normal shuffle grouping.
  - localOrShuffleGrouping
```
T localOrShuffleGrouping(String componentId,
                         String streamId)
```
    If the target bolt has one or more tasks in the same worker process, tuples will be shuffled to just those in-process tasks. Otherwise, this acts like a normal shuffle grouping.
  - noneGrouping
```
T noneGrouping(String componentId)
```
    This grouping specifies that you don’t care how the stream is grouped.
  - noneGrouping
```
T noneGrouping(String componentId,
               String streamId)
```
    This grouping specifies that you don’t care how the stream is grouped.
  - allGrouping
```
T allGrouping(String componentId)
```
    The stream is replicated across all the bolt’s tasks. Use this grouping with care.
  - allGrouping
```
T allGrouping(String componentId,
              String streamId)
```
    The stream is replicated across all the bolt’s tasks. Use this grouping with care.
  - directGrouping
```
T directGrouping(String componentId)
```
    A stream grouped this way means that the producer of the tuple decides which task of the consumer will receive this tuple.
  - directGrouping
```
T directGrouping(String componentId,
                 String streamId)
```
    A stream grouped this way means that the producer of the tuple decides which task of the consumer will receive this tuple.
  - partialKeyGrouping
```
T partialKeyGrouping(String componentId,
                     Fields fields)
```
    Tuples are passed to two hashing functions and each target task is decided based on the comparison of the state of candidate nodes.
    See https://melmeric.files.wordpress.com/2014/11/the-power-of-both-choices-practical-load-balancing-for-distributed-stream -processing-engines.pdf
  - partialKeyGrouping
```
T partialKeyGrouping(String componentId,
                     String streamId,
                     Fields fields)
```
    Tuples are passed to two hashing functions and each target task is decided based on the comparison of the state of candidate nodes.
    See https://melmeric.files.wordpress.com/2014/11/the-power-of-both-choices-practical-load-balancing-for-distributed-stream -processing-engines.pdf
  - customGrouping
```
T customGrouping(String componentId,
                 CustomStreamGrouping grouping)
```
    A custom stream grouping by implementing the CustomStreamGrouping interface.
  - customGrouping
```
T customGrouping(String componentId,
                 String streamId,
                 CustomStreamGrouping grouping)
```
    A custom stream grouping by implementing the CustomStreamGrouping interface.
  - grouping
```
T grouping(GlobalStreamId id,
           Grouping grouping)
```

Interface InputDeclarer<T extends InputDeclarer>

Method Summary

Method Detail

fieldsGrouping

fieldsGrouping

globalGrouping

globalGrouping

shuffleGrouping

shuffleGrouping

localOrShuffleGrouping

localOrShuffleGrouping

noneGrouping

noneGrouping

allGrouping

allGrouping

directGrouping

directGrouping

partialKeyGrouping

partialKeyGrouping

customGrouping

customGrouping

grouping