How to use
getMaxParallelism
method
in
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment

Best Java code snippets using org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.getMaxParallelism (Showing top 3 results out of 315)

Common ways to obtain StreamExecutionEnvironment

private void myMethod () {
 StreamExecutionEnvironment s =StreamExecutionEnvironment.getExecutionEnvironment()
StreamExecutionEnvironment.createLocalEnvironment()
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}

@Test
public void shouldSetMaxParallelismStreaming() {
 FlinkPipelineOptions options = PipelineOptionsFactory.as(FlinkPipelineOptions.class);
 options.setRunner(TestFlinkRunner.class);
 options.setMaxParallelism(42);
 StreamExecutionEnvironment sev =
   FlinkExecutionEnvironments.createStreamExecutionEnvironment(
     options, Collections.emptyList());
 assertThat(options.getMaxParallelism(), is(42));
 assertThat(sev.getMaxParallelism(), is(42));
}

try {
 int parallelism =
   context.getExecutionEnvironment().getMaxParallelism() > 0
     ? context.getExecutionEnvironment().getMaxParallelism()
     : context.getExecutionEnvironment().getParallelism();
 UnboundedSourceWrapperNoValueWithRecordId<T, ?> sourceWrapper =

try {
 int parallelism =
   context.getExecutionEnvironment().getMaxParallelism() > 0
     ? context.getExecutionEnvironment().getMaxParallelism()
     : context.getExecutionEnvironment().getParallelism();
 UnboundedSourceWrapper<T, ?> sourceWrapper =

Javadoc

Gets the maximum degree of parallelism defined for the program.

The maximum degree of parallelism specifies the upper limit for dynamic scaling. It also defines the number of key groups used for partitioned state.

Popular methods of StreamExecutionEnvironment

execute
getExecutionEnvironment
Creates an execution environment that represents the context in which the program is currently execu
addSource
Ads a data source with a custom type information thus opening a DataStream. Only in very special cas
getConfig
Gets the config object.
enableCheckpointing
Enables checkpointing for the streaming job. The distributed state of the streaming dataflow will be
setStreamTimeCharacteristic
Sets the time characteristic for all streams create from this environment, e.g., processing time, ev
setParallelism
Sets the parallelism for operations executed through this environment. Setting a parallelism of x he
fromElements
Creates a new data stream that contains the given elements. The elements must all be of the same typ
setStateBackend
Sets the state backend that describes how to store and checkpoint operator state. It defines both wh
createLocalEnvironment
Creates a LocalStreamEnvironment. The local execution environment will run the program in a multi-th
fromCollection
Creates a data stream from the given iterator.Because the iterator will remain unmodified until the
getCheckpointConfig
Gets the checkpoint config, which defines values like checkpoint interval, delay between checkpoints

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How to use getMaxParallelismmethodin org.apache.flink.streaming.api.environment.StreamExecutionEnvironment

Best Java code snippets using org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.getMaxParallelism (Showing top 3 results out of 315)

How to use
getMaxParallelism
method
in
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment