org.apache.flink.streaming.api.graph.StreamGraphGenerator Java Examples
The following examples show how to use
org.apache.flink.streaming.api.graph.StreamGraphGenerator.
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Example #1
Source File: ExecutorUtils.java From flink with Apache License 2.0 | 6 votes |
/** * Generate {@link StreamGraph} by {@link StreamGraphGenerator}. */ public static StreamGraph generateStreamGraph( StreamExecutionEnvironment execEnv, List<Transformation<?>> transformations) { if (transformations.size() <= 0) { throw new IllegalStateException("No operators defined in streaming topology. Cannot generate StreamGraph."); } StreamGraphGenerator generator = new StreamGraphGenerator(transformations, execEnv.getConfig(), execEnv.getCheckpointConfig()) .setStateBackend(execEnv.getStateBackend()) .setChaining(execEnv.isChainingEnabled()) .setUserArtifacts(execEnv.getCachedFiles()) .setTimeCharacteristic(execEnv.getStreamTimeCharacteristic()) .setDefaultBufferTimeout(execEnv.getBufferTimeout()); return generator.generate(); }
Example #2
Source File: KeyedStream.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
/** * Creates a new {@link KeyedStream} using the given {@link KeySelector} * to partition operator state by key. * * @param dataStream * Base stream of data * @param keySelector * Function for determining state partitions */ public KeyedStream(DataStream<T> dataStream, KeySelector<T, KEY> keySelector, TypeInformation<KEY> keyType) { this( dataStream, new PartitionTransformation<>( dataStream.getTransformation(), new KeyGroupStreamPartitioner<>(keySelector, StreamGraphGenerator.DEFAULT_LOWER_BOUND_MAX_PARALLELISM)), keySelector, keyType); }
Example #3
Source File: StreamExecutionEnvironment.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
/** * Getter of the {@link org.apache.flink.streaming.api.graph.StreamGraph} of the streaming job. * * @return The streamgraph representing the transformations */ @Internal public StreamGraph getStreamGraph() { if (transformations.size() <= 0) { throw new IllegalStateException("No operators defined in streaming topology. Cannot execute."); } return StreamGraphGenerator.generate(this, transformations); }
Example #4
Source File: StreamTransformation.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
/** * Sets the maximum parallelism for this stream transformation. * * @param maxParallelism Maximum parallelism for this stream transformation. */ public void setMaxParallelism(int maxParallelism) { Preconditions.checkArgument(maxParallelism > 0 && maxParallelism <= StreamGraphGenerator.UPPER_BOUND_MAX_PARALLELISM, "Maximum parallelism must be between 1 and " + StreamGraphGenerator.UPPER_BOUND_MAX_PARALLELISM + ". Found: " + maxParallelism); this.maxParallelism = maxParallelism; }
Example #5
Source File: KeyedStream.java From flink with Apache License 2.0 | 5 votes |
/** * Creates a new {@link KeyedStream} using the given {@link KeySelector} * to partition operator state by key. * * @param dataStream * Base stream of data * @param keySelector * Function for determining state partitions */ public KeyedStream(DataStream<T> dataStream, KeySelector<T, KEY> keySelector, TypeInformation<KEY> keyType) { this( dataStream, new PartitionTransformation<>( dataStream.getTransformation(), new KeyGroupStreamPartitioner<>(keySelector, StreamGraphGenerator.DEFAULT_LOWER_BOUND_MAX_PARALLELISM)), keySelector, keyType); }
Example #6
Source File: StreamExecutionEnvironment.java From flink with Apache License 2.0 | 5 votes |
private StreamGraphGenerator getStreamGraphGenerator() { if (transformations.size() <= 0) { throw new IllegalStateException("No operators defined in streaming topology. Cannot execute."); } return new StreamGraphGenerator(transformations, config, checkpointCfg) .setStateBackend(defaultStateBackend) .setChaining(isChainingEnabled) .setUserArtifacts(cacheFile) .setTimeCharacteristic(timeCharacteristic) .setDefaultBufferTimeout(bufferTimeout); }
Example #7
Source File: StreamExecutor.java From flink with Apache License 2.0 | 5 votes |
@Override public Pipeline createPipeline(List<Transformation<?>> transformations, TableConfig tableConfig, String jobName) { if (transformations.size() <= 0) { throw new IllegalStateException("No operators defined in streaming topology. Cannot generate StreamGraph."); } return new StreamGraphGenerator( transformations, executionEnvironment.getConfig(), executionEnvironment.getCheckpointConfig()) .setStateBackend(executionEnvironment.getStateBackend()) .setChaining(executionEnvironment.isChainingEnabled()) .setUserArtifacts(executionEnvironment.getCachedFiles()) .setTimeCharacteristic(executionEnvironment.getStreamTimeCharacteristic()) .setDefaultBufferTimeout(executionEnvironment.getBufferTimeout()) .setJobName(jobName) .generate(); }
Example #8
Source File: KeyedStream.java From flink with Apache License 2.0 | 5 votes |
/** * Creates a new {@link KeyedStream} using the given {@link KeySelector} * to partition operator state by key. * * @param dataStream * Base stream of data * @param keySelector * Function for determining state partitions */ public KeyedStream(DataStream<T> dataStream, KeySelector<T, KEY> keySelector, TypeInformation<KEY> keyType) { this( dataStream, new PartitionTransformation<>( dataStream.getTransformation(), new KeyGroupStreamPartitioner<>(keySelector, StreamGraphGenerator.DEFAULT_LOWER_BOUND_MAX_PARALLELISM)), keySelector, keyType); }
Example #9
Source File: StreamExecutionEnvironment.java From flink with Apache License 2.0 | 5 votes |
private StreamGraphGenerator getStreamGraphGenerator() { if (transformations.size() <= 0) { throw new IllegalStateException("No operators defined in streaming topology. Cannot execute."); } return new StreamGraphGenerator(transformations, config, checkpointCfg) .setStateBackend(defaultStateBackend) .setChaining(isChainingEnabled) .setUserArtifacts(cacheFile) .setTimeCharacteristic(timeCharacteristic) .setDefaultBufferTimeout(bufferTimeout); }