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123,500
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java
ConnectedStreams.keyBy
public ConnectedStreams<IN1, IN2> keyBy(int[] keyPositions1, int[] keyPositions2) { return new ConnectedStreams<>(environment, inputStream1.keyBy(keyPositions1), inputStream2.keyBy(keyPositions2)); }
java
public ConnectedStreams<IN1, IN2> keyBy(int[] keyPositions1, int[] keyPositions2) { return new ConnectedStreams<>(environment, inputStream1.keyBy(keyPositions1), inputStream2.keyBy(keyPositions2)); }
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KeyBy operation for connected data stream. Assigns keys to the elements of input1 and input2 according to keyPositions1 and keyPositions2. @param keyPositions1 The fields used to group the first input stream. @param keyPositions2 The fields used to group the second input stream. @return The grouped {@link ConnectedStr...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java#L137-L140
123,501
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java
ConnectedStreams.keyBy
public ConnectedStreams<IN1, IN2> keyBy(KeySelector<IN1, ?> keySelector1, KeySelector<IN2, ?> keySelector2) { return new ConnectedStreams<>(environment, inputStream1.keyBy(keySelector1), inputStream2.keyBy(keySelector2)); }
java
public ConnectedStreams<IN1, IN2> keyBy(KeySelector<IN1, ?> keySelector1, KeySelector<IN2, ?> keySelector2) { return new ConnectedStreams<>(environment, inputStream1.keyBy(keySelector1), inputStream2.keyBy(keySelector2)); }
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KeyBy operation for connected data stream. Assigns keys to the elements of input1 and input2 using keySelector1 and keySelector2. @param keySelector1 The {@link KeySelector} used for grouping the first input @param keySelector2 The {@link KeySelector} used for grouping the second input @return The partitioned {@link C...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java#L189-L192
123,502
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java
ConnectedStreams.keyBy
public <KEY> ConnectedStreams<IN1, IN2> keyBy( KeySelector<IN1, KEY> keySelector1, KeySelector<IN2, KEY> keySelector2, TypeInformation<KEY> keyType) { return new ConnectedStreams<>( environment, inputStream1.keyBy(keySelector1, keyType), inputStream2.keyBy(keySelector2, keyType)); }
java
public <KEY> ConnectedStreams<IN1, IN2> keyBy( KeySelector<IN1, KEY> keySelector1, KeySelector<IN2, KEY> keySelector2, TypeInformation<KEY> keyType) { return new ConnectedStreams<>( environment, inputStream1.keyBy(keySelector1, keyType), inputStream2.keyBy(keySelector2, keyType)); }
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KeyBy operation for connected data stream. Assigns keys to the elements of input1 and input2 using keySelector1 and keySelector2 with explicit type information for the common key type. @param keySelector1 The {@link KeySelector} used for grouping the first input @param keySelector2 The {@link KeySelector} used for gro...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java#L206-L214
123,503
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/ChannelWriterOutputView.java
ChannelWriterOutputView.close
public List<MemorySegment> close() throws IOException { // send off set last segment writeSegment(getCurrentSegment(), getCurrentPositionInSegment(), true); clear(); // close the writer and gather all segments final LinkedBlockingQueue<MemorySegment> queue = this.writer.getReturnQueue(); this.writer.clo...
java
public List<MemorySegment> close() throws IOException { // send off set last segment writeSegment(getCurrentSegment(), getCurrentPositionInSegment(), true); clear(); // close the writer and gather all segments final LinkedBlockingQueue<MemorySegment> queue = this.writer.getReturnQueue(); this.writer.clo...
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Closes this OutputView, closing the underlying writer and returning all memory segments. @return A list containing all memory segments originally supplied to this view. @throws IOException Thrown, if the underlying writer could not be properly closed.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/ChannelWriterOutputView.java#L139-L161
123,504
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/state/MapStateDescriptor.java
MapStateDescriptor.getKeySerializer
public TypeSerializer<UK> getKeySerializer() { final TypeSerializer<Map<UK, UV>> rawSerializer = getSerializer(); if (!(rawSerializer instanceof MapSerializer)) { throw new IllegalStateException("Unexpected serializer type."); } return ((MapSerializer<UK, UV>) rawSerializer).getKeySerializer(); }
java
public TypeSerializer<UK> getKeySerializer() { final TypeSerializer<Map<UK, UV>> rawSerializer = getSerializer(); if (!(rawSerializer instanceof MapSerializer)) { throw new IllegalStateException("Unexpected serializer type."); } return ((MapSerializer<UK, UV>) rawSerializer).getKeySerializer(); }
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Gets the serializer for the keys in the state. @return The serializer for the keys in the state.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/state/MapStateDescriptor.java#L99-L106
123,505
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperator.java
WindowOperator.isElementLate
protected boolean isElementLate(StreamRecord<IN> element){ return (windowAssigner.isEventTime()) && (element.getTimestamp() + allowedLateness <= internalTimerService.currentWatermark()); }
java
protected boolean isElementLate(StreamRecord<IN> element){ return (windowAssigner.isEventTime()) && (element.getTimestamp() + allowedLateness <= internalTimerService.currentWatermark()); }
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Decide if a record is currently late, based on current watermark and allowed lateness. @param element The element to check @return The element for which should be considered when sideoutputs
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperator.java#L585-L588
123,506
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperator.java
WindowOperator.deleteCleanupTimer
protected void deleteCleanupTimer(W window) { long cleanupTime = cleanupTime(window); if (cleanupTime == Long.MAX_VALUE) { // no need to clean up because we didn't set one return; } if (windowAssigner.isEventTime()) { triggerContext.deleteEventTimeTimer(cleanupTime); } else { triggerContext.delete...
java
protected void deleteCleanupTimer(W window) { long cleanupTime = cleanupTime(window); if (cleanupTime == Long.MAX_VALUE) { // no need to clean up because we didn't set one return; } if (windowAssigner.isEventTime()) { triggerContext.deleteEventTimeTimer(cleanupTime); } else { triggerContext.delete...
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Deletes the cleanup timer set for the contents of the provided window. @param window the window whose state to discard
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperator.java#L614-L625
123,507
apache/flink
flink-table/flink-table-common/src/main/java/org/apache/flink/table/descriptors/Rowtime.java
Rowtime.watermarksPeriodicBounded
public Rowtime watermarksPeriodicBounded(long delay) { internalProperties.putString(ROWTIME_WATERMARKS_TYPE, ROWTIME_WATERMARKS_TYPE_VALUE_PERIODIC_BOUNDED); internalProperties.putLong(ROWTIME_WATERMARKS_DELAY, delay); return this; }
java
public Rowtime watermarksPeriodicBounded(long delay) { internalProperties.putString(ROWTIME_WATERMARKS_TYPE, ROWTIME_WATERMARKS_TYPE_VALUE_PERIODIC_BOUNDED); internalProperties.putLong(ROWTIME_WATERMARKS_DELAY, delay); return this; }
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Sets a built-in watermark strategy for rowtime attributes which are out-of-order by a bounded time interval. <p>Emits watermarks which are the maximum observed timestamp minus the specified delay. @param delay delay in milliseconds
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-common/src/main/java/org/apache/flink/table/descriptors/Rowtime.java#L110-L114
123,508
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/accumulators/AccumulatorSnapshot.java
AccumulatorSnapshot.deserializeUserAccumulators
public Map<String, Accumulator<?, ?>> deserializeUserAccumulators(ClassLoader classLoader) throws IOException, ClassNotFoundException { return userAccumulators.deserializeValue(classLoader); }
java
public Map<String, Accumulator<?, ?>> deserializeUserAccumulators(ClassLoader classLoader) throws IOException, ClassNotFoundException { return userAccumulators.deserializeValue(classLoader); }
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Gets the user-defined accumulators values. @return the serialized map
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/accumulators/AccumulatorSnapshot.java#L66-L68
123,509
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/window/grouping/WindowsGrouping.java
WindowsGrouping.reset
public void reset() { nextWindow = null; watermark = Long.MIN_VALUE; triggerWindowStartIndex = 0; emptyWindowTriggered = true; resetBuffer(); }
java
public void reset() { nextWindow = null; watermark = Long.MIN_VALUE; triggerWindowStartIndex = 0; emptyWindowTriggered = true; resetBuffer(); }
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Reset for next group.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/window/grouping/WindowsGrouping.java#L95-L101
123,510
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/window/grouping/WindowsGrouping.java
WindowsGrouping.hasTriggerWindow
public boolean hasTriggerWindow() { skipEmptyWindow(); Preconditions.checkState(watermark == Long.MIN_VALUE || nextWindow != null, "next trigger window cannot be null."); return nextWindow != null && nextWindow.getEnd() <= watermark; }
java
public boolean hasTriggerWindow() { skipEmptyWindow(); Preconditions.checkState(watermark == Long.MIN_VALUE || nextWindow != null, "next trigger window cannot be null."); return nextWindow != null && nextWindow.getEnd() <= watermark; }
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Check if there are windows could be triggered according to the current watermark. @return true when there are windows to be triggered. It is designed to be idempotent.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/window/grouping/WindowsGrouping.java#L125-L130
123,511
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/netty/CreditBasedPartitionRequestClientHandler.java
CreditBasedPartitionRequestClientHandler.userEventTriggered
@Override public void userEventTriggered(ChannelHandlerContext ctx, Object msg) throws Exception { if (msg instanceof RemoteInputChannel) { boolean triggerWrite = inputChannelsWithCredit.isEmpty(); inputChannelsWithCredit.add((RemoteInputChannel) msg); if (triggerWrite) { writeAndFlushNextMessageIfPos...
java
@Override public void userEventTriggered(ChannelHandlerContext ctx, Object msg) throws Exception { if (msg instanceof RemoteInputChannel) { boolean triggerWrite = inputChannelsWithCredit.isEmpty(); inputChannelsWithCredit.add((RemoteInputChannel) msg); if (triggerWrite) { writeAndFlushNextMessageIfPos...
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Triggered by notifying credit available in the client handler pipeline. <p>Enqueues the input channel and will trigger write&flush unannounced credits for this input channel if it is the first one in the queue.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/netty/CreditBasedPartitionRequestClientHandler.java#L187-L200
123,512
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/netty/CreditBasedPartitionRequestClientHandler.java
CreditBasedPartitionRequestClientHandler.writeAndFlushNextMessageIfPossible
private void writeAndFlushNextMessageIfPossible(Channel channel) { if (channelError.get() != null || !channel.isWritable()) { return; } while (true) { RemoteInputChannel inputChannel = inputChannelsWithCredit.poll(); // The input channel may be null because of the write callbacks // that are execute...
java
private void writeAndFlushNextMessageIfPossible(Channel channel) { if (channelError.get() != null || !channel.isWritable()) { return; } while (true) { RemoteInputChannel inputChannel = inputChannelsWithCredit.poll(); // The input channel may be null because of the write callbacks // that are execute...
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Tries to write&flush unannounced credits for the next input channel in queue. <p>This method may be called by the first input channel enqueuing, or the complete future's callback in previous input channel, or the channel writability changed event.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/netty/CreditBasedPartitionRequestClientHandler.java#L338-L366
123,513
apache/flink
flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08PartitionDiscoverer.java
Kafka08PartitionDiscoverer.getPartitionLeadersForTopics
public List<KafkaTopicPartitionLeader> getPartitionLeadersForTopics(List<String> topics) { List<KafkaTopicPartitionLeader> partitions = new LinkedList<>(); retryLoop: for (int retry = 0; retry < numRetries; retry++) { brokersLoop: for (int arrIdx = 0; arrIdx < seedBrokerAddresses.length; arrIdx++) { LOG.inf...
java
public List<KafkaTopicPartitionLeader> getPartitionLeadersForTopics(List<String> topics) { List<KafkaTopicPartitionLeader> partitions = new LinkedList<>(); retryLoop: for (int retry = 0; retry < numRetries; retry++) { brokersLoop: for (int arrIdx = 0; arrIdx < seedBrokerAddresses.length; arrIdx++) { LOG.inf...
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Send request to Kafka to get partitions for topics. @param topics The name of the topics.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08PartitionDiscoverer.java#L184-L241
123,514
apache/flink
flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08PartitionDiscoverer.java
Kafka08PartitionDiscoverer.useNextAddressAsNewContactSeedBroker
private void useNextAddressAsNewContactSeedBroker() { if (++currentContactSeedBrokerIndex == seedBrokerAddresses.length) { currentContactSeedBrokerIndex = 0; } URL newContactUrl = NetUtils.getCorrectHostnamePort(seedBrokerAddresses[currentContactSeedBrokerIndex]); this.consumer = new SimpleConsumer(newConta...
java
private void useNextAddressAsNewContactSeedBroker() { if (++currentContactSeedBrokerIndex == seedBrokerAddresses.length) { currentContactSeedBrokerIndex = 0; } URL newContactUrl = NetUtils.getCorrectHostnamePort(seedBrokerAddresses[currentContactSeedBrokerIndex]); this.consumer = new SimpleConsumer(newConta...
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Re-establish broker connection using the next available seed broker address.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08PartitionDiscoverer.java#L246-L253
123,515
apache/flink
flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08PartitionDiscoverer.java
Kafka08PartitionDiscoverer.brokerToNode
private static Node brokerToNode(Broker broker) { return new Node(broker.id(), broker.host(), broker.port()); }
java
private static Node brokerToNode(Broker broker) { return new Node(broker.id(), broker.host(), broker.port()); }
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Turn a broker instance into a node instance. @param broker broker instance @return Node representing the given broker
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08PartitionDiscoverer.java#L261-L263
123,516
apache/flink
flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08PartitionDiscoverer.java
Kafka08PartitionDiscoverer.validateSeedBrokers
private static void validateSeedBrokers(String[] seedBrokers, Exception exception) { if (!(exception instanceof ClosedChannelException)) { return; } int unknownHosts = 0; for (String broker : seedBrokers) { URL brokerUrl = NetUtils.getCorrectHostnamePort(broker.trim()); try { InetAddress.getByName(...
java
private static void validateSeedBrokers(String[] seedBrokers, Exception exception) { if (!(exception instanceof ClosedChannelException)) { return; } int unknownHosts = 0; for (String broker : seedBrokers) { URL brokerUrl = NetUtils.getCorrectHostnamePort(broker.trim()); try { InetAddress.getByName(...
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Validate that at least one seed broker is valid in case of a ClosedChannelException. @param seedBrokers array containing the seed brokers e.g. ["host1:port1", "host2:port2"] @param exception instance
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08PartitionDiscoverer.java#L275-L293
123,517
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/sort/SortUtil.java
SortUtil.maxNormalizedKey
public static void maxNormalizedKey(MemorySegment target, int offset, int numBytes) { //write max value. for (int i = 0; i < numBytes; i++) { target.put(offset + i, (byte) -1); } }
java
public static void maxNormalizedKey(MemorySegment target, int offset, int numBytes) { //write max value. for (int i = 0; i < numBytes; i++) { target.put(offset + i, (byte) -1); } }
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Max unsigned byte is -1.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/sort/SortUtil.java#L49-L54
123,518
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/sort/SortUtil.java
SortUtil.putDecimalNormalizedKey
public static void putDecimalNormalizedKey( Decimal record, MemorySegment target, int offset, int len) { assert record.getPrecision() <= Decimal.MAX_COMPACT_PRECISION; putLongNormalizedKey(record.toUnscaledLong(), target, offset, len); }
java
public static void putDecimalNormalizedKey( Decimal record, MemorySegment target, int offset, int len) { assert record.getPrecision() <= Decimal.MAX_COMPACT_PRECISION; putLongNormalizedKey(record.toUnscaledLong(), target, offset, len); }
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Just support the compact precision decimal.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/sort/SortUtil.java#L90-L94
123,519
apache/flink
flink-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/api/java/hadoop/mapreduce/utils/HadoopUtils.java
HadoopUtils.mergeHadoopConf
public static void mergeHadoopConf(Configuration hadoopConfig) { // we have to load the global configuration here, because the HadoopInputFormatBase does not // have access to a Flink configuration object org.apache.flink.configuration.Configuration flinkConfiguration = GlobalConfiguration.loadConfiguration(); ...
java
public static void mergeHadoopConf(Configuration hadoopConfig) { // we have to load the global configuration here, because the HadoopInputFormatBase does not // have access to a Flink configuration object org.apache.flink.configuration.Configuration flinkConfiguration = GlobalConfiguration.loadConfiguration(); ...
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Merge HadoopConfiguration into Configuration. This is necessary for the HDFS configuration.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/api/java/hadoop/mapreduce/utils/HadoopUtils.java#L37-L51
123,520
apache/flink
flink-table/flink-table-common/src/main/java/org/apache/flink/table/plan/stats/TableStats.java
TableStats.copy
public TableStats copy() { TableStats copy = new TableStats(this.rowCount); for (Map.Entry<String, ColumnStats> entry : this.colStats.entrySet()) { copy.colStats.put(entry.getKey(), entry.getValue().copy()); } return copy; }
java
public TableStats copy() { TableStats copy = new TableStats(this.rowCount); for (Map.Entry<String, ColumnStats> entry : this.colStats.entrySet()) { copy.colStats.put(entry.getKey(), entry.getValue().copy()); } return copy; }
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Create a deep copy of "this" instance. @return a deep copy
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-common/src/main/java/org/apache/flink/table/plan/stats/TableStats.java#L63-L69
123,521
apache/flink
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java
PojoSerializer.getRegisteredSubclassesFromExecutionConfig
private static LinkedHashSet<Class<?>> getRegisteredSubclassesFromExecutionConfig( Class<?> basePojoClass, ExecutionConfig executionConfig) { LinkedHashSet<Class<?>> subclassesInRegistrationOrder = new LinkedHashSet<>(executionConfig.getRegisteredPojoTypes().size()); for (Class<?> registeredClass : execution...
java
private static LinkedHashSet<Class<?>> getRegisteredSubclassesFromExecutionConfig( Class<?> basePojoClass, ExecutionConfig executionConfig) { LinkedHashSet<Class<?>> subclassesInRegistrationOrder = new LinkedHashSet<>(executionConfig.getRegisteredPojoTypes().size()); for (Class<?> registeredClass : execution...
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Extracts the subclasses of the base POJO class registered in the execution config.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java#L1001-L1017
123,522
apache/flink
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java
PojoSerializer.createRegisteredSubclassTags
private static LinkedHashMap<Class<?>, Integer> createRegisteredSubclassTags(LinkedHashSet<Class<?>> registeredSubclasses) { final LinkedHashMap<Class<?>, Integer> classToTag = new LinkedHashMap<>(); int id = 0; for (Class<?> registeredClass : registeredSubclasses) { classToTag.put(registeredClass, id); id...
java
private static LinkedHashMap<Class<?>, Integer> createRegisteredSubclassTags(LinkedHashSet<Class<?>> registeredSubclasses) { final LinkedHashMap<Class<?>, Integer> classToTag = new LinkedHashMap<>(); int id = 0; for (Class<?> registeredClass : registeredSubclasses) { classToTag.put(registeredClass, id); id...
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Builds map of registered subclasses to their class tags. Class tags will be integers starting from 0, assigned incrementally with the order of provided subclasses.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java#L1023-L1033
123,523
apache/flink
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java
PojoSerializer.createRegisteredSubclassSerializers
private static TypeSerializer<?>[] createRegisteredSubclassSerializers( LinkedHashSet<Class<?>> registeredSubclasses, ExecutionConfig executionConfig) { final TypeSerializer<?>[] subclassSerializers = new TypeSerializer[registeredSubclasses.size()]; int i = 0; for (Class<?> registeredClass : registeredSub...
java
private static TypeSerializer<?>[] createRegisteredSubclassSerializers( LinkedHashSet<Class<?>> registeredSubclasses, ExecutionConfig executionConfig) { final TypeSerializer<?>[] subclassSerializers = new TypeSerializer[registeredSubclasses.size()]; int i = 0; for (Class<?> registeredClass : registeredSub...
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Creates an array of serializers for provided list of registered subclasses. Order of returned serializers will correspond to order of provided subclasses.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java#L1039-L1052
123,524
apache/flink
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java
PojoSerializer.getSubclassSerializer
TypeSerializer<?> getSubclassSerializer(Class<?> subclass) { TypeSerializer<?> result = subclassSerializerCache.get(subclass); if (result == null) { result = createSubclassSerializer(subclass); subclassSerializerCache.put(subclass, result); } return result; }
java
TypeSerializer<?> getSubclassSerializer(Class<?> subclass) { TypeSerializer<?> result = subclassSerializerCache.get(subclass); if (result == null) { result = createSubclassSerializer(subclass); subclassSerializerCache.put(subclass, result); } return result; }
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Fetches cached serializer for a non-registered subclass; also creates the serializer if it doesn't exist yet. This method is also exposed to package-private access for testing purposes.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java#L1061-L1068
123,525
apache/flink
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java
PojoSerializer.buildSnapshot
private static <T> PojoSerializerSnapshot<T> buildSnapshot( Class<T> pojoType, LinkedHashMap<Class<?>, Integer> registeredSubclassesToTags, TypeSerializer<?>[] registeredSubclassSerializers, Field[] fields, TypeSerializer<?>[] fieldSerializers, Map<Class<?>, TypeSerializer<?>> nonRegisteredSubclassSer...
java
private static <T> PojoSerializerSnapshot<T> buildSnapshot( Class<T> pojoType, LinkedHashMap<Class<?>, Integer> registeredSubclassesToTags, TypeSerializer<?>[] registeredSubclassSerializers, Field[] fields, TypeSerializer<?>[] fieldSerializers, Map<Class<?>, TypeSerializer<?>> nonRegisteredSubclassSer...
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Build and return a snapshot of the serializer's parameters and currently cached serializers.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java#L1107-L1127
123,526
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/generated/CompileUtils.java
CompileUtils.compile
public static <T> Class<T> compile(ClassLoader cl, String name, String code) { Tuple2<ClassLoader, String> cacheKey = Tuple2.of(cl, name); Class<?> clazz = COMPILED_CACHE.getIfPresent(cacheKey); if (clazz == null) { clazz = doCompile(cl, name, code); COMPILED_CACHE.put(cacheKey, clazz); } //noinspection...
java
public static <T> Class<T> compile(ClassLoader cl, String name, String code) { Tuple2<ClassLoader, String> cacheKey = Tuple2.of(cl, name); Class<?> clazz = COMPILED_CACHE.getIfPresent(cacheKey); if (clazz == null) { clazz = doCompile(cl, name, code); COMPILED_CACHE.put(cacheKey, clazz); } //noinspection...
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Compiles a generated code to a Class. @param cl the ClassLoader used to load the class @param name the class name @param code the generated code @param <T> the class type @return the compiled class
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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123,527
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/generated/CompileUtils.java
CompileUtils.addLineNumber
private static String addLineNumber(String code) { String[] lines = code.split("\n"); StringBuilder builder = new StringBuilder(); for (int i = 0; i < lines.length; i++) { builder.append("/* ").append(i + 1).append(" */").append(lines[i]).append("\n"); } return builder.toString(); }
java
private static String addLineNumber(String code) { String[] lines = code.split("\n"); StringBuilder builder = new StringBuilder(); for (int i = 0; i < lines.length; i++) { builder.append("/* ").append(i + 1).append(" */").append(lines[i]).append("\n"); } return builder.toString(); }
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To output more information when an error occurs. Generally, when cook fails, it shows which line is wrong. This line number starts at 1.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/generated/CompileUtils.java#L96-L103
123,528
apache/flink
flink-core/src/main/java/org/apache/flink/util/AbstractCloseableRegistry.java
AbstractCloseableRegistry.addCloseableInternal
protected final void addCloseableInternal(Closeable closeable, T metaData) { synchronized (getSynchronizationLock()) { closeableToRef.put(closeable, metaData); } }
java
protected final void addCloseableInternal(Closeable closeable, T metaData) { synchronized (getSynchronizationLock()) { closeableToRef.put(closeable, metaData); } }
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Adds a mapping to the registry map, respecting locking.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/AbstractCloseableRegistry.java#L153-L157
123,529
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/SortMergeFullOuterJoinIterator.java
SortMergeFullOuterJoinIterator.bufferRows1
private void bufferRows1() throws IOException { BinaryRow copy = key1.copy(); buffer1.reset(); do { buffer1.add(row1); } while (nextRow1() && keyComparator.compare(key1, copy) == 0); buffer1.complete(); }
java
private void bufferRows1() throws IOException { BinaryRow copy = key1.copy(); buffer1.reset(); do { buffer1.add(row1); } while (nextRow1() && keyComparator.compare(key1, copy) == 0); buffer1.complete(); }
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Buffer rows from iterator1 with same key.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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123,530
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/SortMergeFullOuterJoinIterator.java
SortMergeFullOuterJoinIterator.bufferRows2
private void bufferRows2() throws IOException { BinaryRow copy = key2.copy(); buffer2.reset(); do { buffer2.add(row2); } while (nextRow2() && keyComparator.compare(key2, copy) == 0); buffer2.complete(); }
java
private void bufferRows2() throws IOException { BinaryRow copy = key2.copy(); buffer2.reset(); do { buffer2.add(row2); } while (nextRow2() && keyComparator.compare(key2, copy) == 0); buffer2.complete(); }
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Buffer rows from iterator2 with same key.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/SortMergeFullOuterJoinIterator.java#L139-L146
123,531
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/typeutils/TypeSerializerSchemaCompatibility.java
TypeSerializerSchemaCompatibility.compatibleWithReconfiguredSerializer
public static <T> TypeSerializerSchemaCompatibility<T> compatibleWithReconfiguredSerializer(TypeSerializer<T> reconfiguredSerializer) { return new TypeSerializerSchemaCompatibility<>( Type.COMPATIBLE_WITH_RECONFIGURED_SERIALIZER, Preconditions.checkNotNull(reconfiguredSerializer)); }
java
public static <T> TypeSerializerSchemaCompatibility<T> compatibleWithReconfiguredSerializer(TypeSerializer<T> reconfiguredSerializer) { return new TypeSerializerSchemaCompatibility<>( Type.COMPATIBLE_WITH_RECONFIGURED_SERIALIZER, Preconditions.checkNotNull(reconfiguredSerializer)); }
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Returns a result that indicates a reconfigured version of the new serializer is compatible, and should be used instead of the original new serializer. @param reconfiguredSerializer the reconfigured version of the new serializer. @return a result that indicates a reconfigured version of the new serializer is compatible...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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123,532
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointProperties.java
CheckpointProperties.forCheckpoint
public static CheckpointProperties forCheckpoint(CheckpointRetentionPolicy policy) { switch (policy) { case NEVER_RETAIN_AFTER_TERMINATION: return CHECKPOINT_NEVER_RETAINED; case RETAIN_ON_FAILURE: return CHECKPOINT_RETAINED_ON_FAILURE; case RETAIN_ON_CANCELLATION: return CHECKPOINT_RETAINED_ON_C...
java
public static CheckpointProperties forCheckpoint(CheckpointRetentionPolicy policy) { switch (policy) { case NEVER_RETAIN_AFTER_TERMINATION: return CHECKPOINT_NEVER_RETAINED; case RETAIN_ON_FAILURE: return CHECKPOINT_RETAINED_ON_FAILURE; case RETAIN_ON_CANCELLATION: return CHECKPOINT_RETAINED_ON_C...
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Creates the checkpoint properties for a checkpoint. <p>Checkpoints may be queued in case too many other checkpoints are currently happening. They are garbage collected automatically, except when the owning job terminates in state {@link JobStatus#FAILED}. The user is required to configure the clean up behaviour on job...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointProperties.java#L314-L325
123,533
apache/flink
flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/drivers/parameter/LongParameter.java
LongParameter.setMinimumValue
public LongParameter setMinimumValue(long minimumValue) { if (hasMaximumValue) { Util.checkParameter(minimumValue <= maximumValue, "Minimum value (" + minimumValue + ") must be less than or equal to maximum (" + maximumValue + ")"); } this.hasMinimumValue = true; this.minimumValue = minimumValue; ret...
java
public LongParameter setMinimumValue(long minimumValue) { if (hasMaximumValue) { Util.checkParameter(minimumValue <= maximumValue, "Minimum value (" + minimumValue + ") must be less than or equal to maximum (" + maximumValue + ")"); } this.hasMinimumValue = true; this.minimumValue = minimumValue; ret...
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Set the minimum value. <p>If a maximum value has been set then the minimum value must not be greater than the maximum value. @param minimumValue the minimum value @return this
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/drivers/parameter/LongParameter.java#L73-L83
123,534
apache/flink
flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/drivers/parameter/LongParameter.java
LongParameter.setMaximumValue
public LongParameter setMaximumValue(long maximumValue) { if (hasMinimumValue) { Util.checkParameter(maximumValue >= minimumValue, "Maximum value (" + maximumValue + ") must be greater than or equal to minimum (" + minimumValue + ")"); } this.hasMaximumValue = true; this.maximumValue = maximumValue; ...
java
public LongParameter setMaximumValue(long maximumValue) { if (hasMinimumValue) { Util.checkParameter(maximumValue >= minimumValue, "Maximum value (" + maximumValue + ") must be greater than or equal to minimum (" + minimumValue + ")"); } this.hasMaximumValue = true; this.maximumValue = maximumValue; ...
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Set the maximum value. <p>If a minimum value has been set then the maximum value must not be less than the minimum value. @param maximumValue the maximum value @return this
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/drivers/parameter/LongParameter.java#L94-L104
123,535
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/WriteSinkFunction.java
WriteSinkFunction.cleanFile
protected void cleanFile(String path) { try { PrintWriter writer; writer = new PrintWriter(path); writer.print(""); writer.close(); } catch (FileNotFoundException e) { throw new RuntimeException("An error occurred while cleaning the file: " + e.getMessage(), e); } }
java
protected void cleanFile(String path) { try { PrintWriter writer; writer = new PrintWriter(path); writer.print(""); writer.close(); } catch (FileNotFoundException e) { throw new RuntimeException("An error occurred while cleaning the file: " + e.getMessage(), e); } }
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Creates target file if it does not exist, cleans it if it exists. @param path is the path to the location where the tuples are written
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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123,536
apache/flink
flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/state/ImmutableMapState.java
ImmutableMapState.iterator
@Override public Iterator<Map.Entry<K, V>> iterator() { return Collections.unmodifiableSet(state.entrySet()).iterator(); }
java
@Override public Iterator<Map.Entry<K, V>> iterator() { return Collections.unmodifiableSet(state.entrySet()).iterator(); }
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Iterates over all the mappings in the state. The iterator cannot remove elements. @return A read-only iterator over all the mappings in the state.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-queryable-state/flink-queryable-state-client-java/src/main/java/org/apache/flink/queryablestate/client/state/ImmutableMapState.java#L111-L114
123,537
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/files/StaticFileServerHandler.java
StaticFileServerHandler.sendNotModified
public static void sendNotModified(ChannelHandlerContext ctx) { FullHttpResponse response = new DefaultFullHttpResponse(HTTP_1_1, NOT_MODIFIED); setDateHeader(response); // close the connection as soon as the error message is sent. ctx.writeAndFlush(response).addListener(ChannelFutureListener.CLOSE); }
java
public static void sendNotModified(ChannelHandlerContext ctx) { FullHttpResponse response = new DefaultFullHttpResponse(HTTP_1_1, NOT_MODIFIED); setDateHeader(response); // close the connection as soon as the error message is sent. ctx.writeAndFlush(response).addListener(ChannelFutureListener.CLOSE); }
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Send the "304 Not Modified" response. This response can be used when the file timestamp is the same as what the browser is sending up. @param ctx The channel context to write the response to.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/files/StaticFileServerHandler.java#L324-L330
123,538
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/files/StaticFileServerHandler.java
StaticFileServerHandler.setContentTypeHeader
public static void setContentTypeHeader(HttpResponse response, File file) { String mimeType = MimeTypes.getMimeTypeForFileName(file.getName()); String mimeFinal = mimeType != null ? mimeType : MimeTypes.getDefaultMimeType(); response.headers().set(CONTENT_TYPE, mimeFinal); }
java
public static void setContentTypeHeader(HttpResponse response, File file) { String mimeType = MimeTypes.getMimeTypeForFileName(file.getName()); String mimeFinal = mimeType != null ? mimeType : MimeTypes.getDefaultMimeType(); response.headers().set(CONTENT_TYPE, mimeFinal); }
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Sets the content type header for the HTTP Response. @param response HTTP response @param file file to extract content type
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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123,539
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/Plan.java
Plan.addDataSink
public void addDataSink(GenericDataSinkBase<?> sink) { checkNotNull(sink, "The data sink must not be null."); if (!this.sinks.contains(sink)) { this.sinks.add(sink); } }
java
public void addDataSink(GenericDataSinkBase<?> sink) { checkNotNull(sink, "The data sink must not be null."); if (!this.sinks.contains(sink)) { this.sinks.add(sink); } }
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Adds a data sink to the set of sinks in this program. @param sink The data sink to add.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/Plan.java#L199-L205
123,540
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/Plan.java
Plan.accept
@Override public void accept(Visitor<Operator<?>> visitor) { for (GenericDataSinkBase<?> sink : this.sinks) { sink.accept(visitor); } }
java
@Override public void accept(Visitor<Operator<?>> visitor) { for (GenericDataSinkBase<?> sink : this.sinks) { sink.accept(visitor); } }
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Traverses the job depth first from all data sinks on towards the sources. @see Visitable#accept(Visitor)
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/Plan.java#L326-L331
123,541
apache/flink
flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/plan/nodes/exec/NodeResourceConfig.java
NodeResourceConfig.calOperatorParallelism
public static int calOperatorParallelism(double rowCount, Configuration tableConf) { int maxParallelism = getOperatorMaxParallelism(tableConf); int minParallelism = getOperatorMinParallelism(tableConf); int resultParallelism = (int) (rowCount / getRowCountPerPartition(tableConf)); return Math.max(Math.min(resul...
java
public static int calOperatorParallelism(double rowCount, Configuration tableConf) { int maxParallelism = getOperatorMaxParallelism(tableConf); int minParallelism = getOperatorMinParallelism(tableConf); int resultParallelism = (int) (rowCount / getRowCountPerPartition(tableConf)); return Math.max(Math.min(resul...
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Calculates operator parallelism based on rowcount of the operator. @param rowCount rowCount of the operator @param tableConf Configuration. @return the result of operator parallelism.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/plan/nodes/exec/NodeResourceConfig.java#L74-L79
123,542
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java
CheckpointStatsTracker.createSnapshot
public CheckpointStatsSnapshot createSnapshot() { CheckpointStatsSnapshot snapshot = latestSnapshot; // Only create a new snapshot if dirty and no update in progress, // because we don't want to block the coordinator. if (dirty && statsReadWriteLock.tryLock()) { try { // Create a new snapshot snapsh...
java
public CheckpointStatsSnapshot createSnapshot() { CheckpointStatsSnapshot snapshot = latestSnapshot; // Only create a new snapshot if dirty and no update in progress, // because we don't want to block the coordinator. if (dirty && statsReadWriteLock.tryLock()) { try { // Create a new snapshot snapsh...
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Creates a new snapshot of the available stats. @return The latest statistics snapshot.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java#L157-L180
123,543
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java
CheckpointStatsTracker.reportPendingCheckpoint
PendingCheckpointStats reportPendingCheckpoint( long checkpointId, long triggerTimestamp, CheckpointProperties props) { ConcurrentHashMap<JobVertexID, TaskStateStats> taskStateStats = createEmptyTaskStateStatsMap(); PendingCheckpointStats pending = new PendingCheckpointStats( checkpointId, trigge...
java
PendingCheckpointStats reportPendingCheckpoint( long checkpointId, long triggerTimestamp, CheckpointProperties props) { ConcurrentHashMap<JobVertexID, TaskStateStats> taskStateStats = createEmptyTaskStateStatsMap(); PendingCheckpointStats pending = new PendingCheckpointStats( checkpointId, trigge...
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Creates a new pending checkpoint tracker. @param checkpointId ID of the checkpoint. @param triggerTimestamp Trigger timestamp of the checkpoint. @param props The checkpoint properties. @return Tracker for statistics gathering.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java#L194-L220
123,544
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java
CheckpointStatsTracker.reportRestoredCheckpoint
void reportRestoredCheckpoint(RestoredCheckpointStats restored) { checkNotNull(restored, "Restored checkpoint"); statsReadWriteLock.lock(); try { counts.incrementRestoredCheckpoints(); latestRestoredCheckpoint = restored; dirty = true; } finally { statsReadWriteLock.unlock(); } }
java
void reportRestoredCheckpoint(RestoredCheckpointStats restored) { checkNotNull(restored, "Restored checkpoint"); statsReadWriteLock.lock(); try { counts.incrementRestoredCheckpoints(); latestRestoredCheckpoint = restored; dirty = true; } finally { statsReadWriteLock.unlock(); } }
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Callback when a checkpoint is restored. @param restored The restored checkpoint stats.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java#L227-L239
123,545
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java
CheckpointStatsTracker.reportCompletedCheckpoint
private void reportCompletedCheckpoint(CompletedCheckpointStats completed) { statsReadWriteLock.lock(); try { latestCompletedCheckpoint = completed; counts.incrementCompletedCheckpoints(); history.replacePendingCheckpointById(completed); summary.updateSummary(completed); dirty = true; } finally ...
java
private void reportCompletedCheckpoint(CompletedCheckpointStats completed) { statsReadWriteLock.lock(); try { latestCompletedCheckpoint = completed; counts.incrementCompletedCheckpoints(); history.replacePendingCheckpointById(completed); summary.updateSummary(completed); dirty = true; } finally ...
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Callback when a checkpoint completes. @param completed The completed checkpoint stats.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java#L246-L260
123,546
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java
CheckpointStatsTracker.reportFailedCheckpoint
private void reportFailedCheckpoint(FailedCheckpointStats failed) { statsReadWriteLock.lock(); try { counts.incrementFailedCheckpoints(); history.replacePendingCheckpointById(failed); dirty = true; } finally { statsReadWriteLock.unlock(); } }
java
private void reportFailedCheckpoint(FailedCheckpointStats failed) { statsReadWriteLock.lock(); try { counts.incrementFailedCheckpoints(); history.replacePendingCheckpointById(failed); dirty = true; } finally { statsReadWriteLock.unlock(); } }
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Callback when a checkpoint fails. @param failed The failed checkpoint stats.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java#L267-L277
123,547
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java
CheckpointStatsTracker.registerMetrics
private void registerMetrics(MetricGroup metricGroup) { metricGroup.gauge(NUMBER_OF_CHECKPOINTS_METRIC, new CheckpointsCounter()); metricGroup.gauge(NUMBER_OF_IN_PROGRESS_CHECKPOINTS_METRIC, new InProgressCheckpointsCounter()); metricGroup.gauge(NUMBER_OF_COMPLETED_CHECKPOINTS_METRIC, new CompletedCheckpointsCoun...
java
private void registerMetrics(MetricGroup metricGroup) { metricGroup.gauge(NUMBER_OF_CHECKPOINTS_METRIC, new CheckpointsCounter()); metricGroup.gauge(NUMBER_OF_IN_PROGRESS_CHECKPOINTS_METRIC, new InProgressCheckpointsCounter()); metricGroup.gauge(NUMBER_OF_COMPLETED_CHECKPOINTS_METRIC, new CompletedCheckpointsCoun...
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Register the exposed metrics. @param metricGroup Metric group to use for the metrics.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/CheckpointStatsTracker.java#L355-L365
123,548
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/io/DelimitedInputFormat.java
DelimitedInputFormat.configure
@Override public void configure(Configuration parameters) { super.configure(parameters); // the if() clauses are to prevent the configure() method from // overwriting the values set by the setters if (Arrays.equals(delimiter, new byte[] {'\n'})) { String delimString = parameters.getString(RECORD_DELIMITER...
java
@Override public void configure(Configuration parameters) { super.configure(parameters); // the if() clauses are to prevent the configure() method from // overwriting the values set by the setters if (Arrays.equals(delimiter, new byte[] {'\n'})) { String delimString = parameters.getString(RECORD_DELIMITER...
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Configures this input format by reading the path to the file from the configuration and the string that defines the record delimiter. @param parameters The configuration object to read the parameters from.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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123,549
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/io/DelimitedInputFormat.java
DelimitedInputFormat.fillBuffer
private boolean fillBuffer(int offset) throws IOException { int maxReadLength = this.readBuffer.length - offset; // special case for reading the whole split. if (this.splitLength == FileInputFormat.READ_WHOLE_SPLIT_FLAG) { int read = this.stream.read(this.readBuffer, offset, maxReadLength); if (read == -1) ...
java
private boolean fillBuffer(int offset) throws IOException { int maxReadLength = this.readBuffer.length - offset; // special case for reading the whole split. if (this.splitLength == FileInputFormat.READ_WHOLE_SPLIT_FLAG) { int read = this.stream.read(this.readBuffer, offset, maxReadLength); if (read == -1) ...
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Fills the read buffer with bytes read from the file starting from an offset.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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123,550
apache/flink
flink-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/hadoopcompatibility/mapred/wrapper/HadoopTupleUnwrappingIterator.java
HadoopTupleUnwrappingIterator.set
@Override public void set(final Iterator<Tuple2<KEY, VALUE>> iterator) { this.iterator = iterator; if (this.hasNext()) { final Tuple2<KEY, VALUE> tuple = iterator.next(); this.curKey = keySerializer.copy(tuple.f0); this.firstValue = tuple.f1; this.atFirst = true; } else { this.atFirst = false; }...
java
@Override public void set(final Iterator<Tuple2<KEY, VALUE>> iterator) { this.iterator = iterator; if (this.hasNext()) { final Tuple2<KEY, VALUE> tuple = iterator.next(); this.curKey = keySerializer.copy(tuple.f0); this.firstValue = tuple.f1; this.atFirst = true; } else { this.atFirst = false; }...
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Set the Flink iterator to wrap. @param iterator The Flink iterator to wrap.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/hadoopcompatibility/mapred/wrapper/HadoopTupleUnwrappingIterator.java#L54-L65
123,551
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/operators/sort/QuickSort.java
QuickSort.fix
private static void fix(IndexedSortable s, int pN, int pO, int rN, int rO) { if (s.compare(pN, pO, rN, rO) > 0) { s.swap(pN, pO, rN, rO); } }
java
private static void fix(IndexedSortable s, int pN, int pO, int rN, int rO) { if (s.compare(pN, pO, rN, rO) > 0) { s.swap(pN, pO, rN, rO); } }
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Fix the records into sorted order, swapping when the first record is greater than the second record. @param s paged sortable @param pN page number of first record @param pO page offset of first record @param rN page number of second record @param rO page offset of second record
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/sort/QuickSort.java#L39-L43
123,552
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/window/triggers/ProcessingTimeTriggers.java
ProcessingTimeTriggers.every
public static <W extends Window> AfterFirstElementPeriodic<W> every(Duration time) { return new AfterFirstElementPeriodic<>(time.toMillis()); }
java
public static <W extends Window> AfterFirstElementPeriodic<W> every(Duration time) { return new AfterFirstElementPeriodic<>(time.toMillis()); }
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Creates a trigger that fires by a certain interval after reception of the first element. @param time the certain interval
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/window/triggers/ProcessingTimeTriggers.java#L66-L68
123,553
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/SocketClientSink.java
SocketClientSink.invoke
@Override public void invoke(IN value) throws Exception { byte[] msg = schema.serialize(value); try { outputStream.write(msg); if (autoFlush) { outputStream.flush(); } } catch (IOException e) { // if no re-tries are enable, fail immediately if (maxNumRetries == 0) { throw new IOExceptio...
java
@Override public void invoke(IN value) throws Exception { byte[] msg = schema.serialize(value); try { outputStream.write(msg); if (autoFlush) { outputStream.flush(); } } catch (IOException e) { // if no re-tries are enable, fail immediately if (maxNumRetries == 0) { throw new IOExceptio...
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Called when new data arrives to the sink, and forwards it to Socket. @param value The value to write to the socket.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/SocketClientSink.java#L143-L219
123,554
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/PendingCheckpointStats.java
PendingCheckpointStats.reportSubtaskStats
boolean reportSubtaskStats(JobVertexID jobVertexId, SubtaskStateStats subtask) { TaskStateStats taskStateStats = taskStats.get(jobVertexId); if (taskStateStats != null && taskStateStats.reportSubtaskStats(subtask)) { currentNumAcknowledgedSubtasks++; latestAcknowledgedSubtask = subtask; currentStateSize ...
java
boolean reportSubtaskStats(JobVertexID jobVertexId, SubtaskStateStats subtask) { TaskStateStats taskStateStats = taskStats.get(jobVertexId); if (taskStateStats != null && taskStateStats.reportSubtaskStats(subtask)) { currentNumAcknowledgedSubtasks++; latestAcknowledgedSubtask = subtask; currentStateSize ...
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Reports statistics for a single subtask. @param jobVertexId ID of the task/operator the subtask belongs to. @param subtask The statistics for the subtask. @return <code>true</code> if successfully reported or <code>false</code> otherwise.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/PendingCheckpointStats.java#L120-L138
123,555
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/PendingCheckpointStats.java
PendingCheckpointStats.reportCompletedCheckpoint
CompletedCheckpointStats.DiscardCallback reportCompletedCheckpoint(String externalPointer) { CompletedCheckpointStats completed = new CompletedCheckpointStats( checkpointId, triggerTimestamp, props, numberOfSubtasks, new HashMap<>(taskStats), currentNumAcknowledgedSubtasks, currentStateSize, c...
java
CompletedCheckpointStats.DiscardCallback reportCompletedCheckpoint(String externalPointer) { CompletedCheckpointStats completed = new CompletedCheckpointStats( checkpointId, triggerTimestamp, props, numberOfSubtasks, new HashMap<>(taskStats), currentNumAcknowledgedSubtasks, currentStateSize, c...
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Reports a successfully completed pending checkpoint. @param externalPointer Optional external storage path if checkpoint was externalized. @return Callback for the {@link CompletedCheckpoint} instance to notify about disposal.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/PendingCheckpointStats.java#L146-L162
123,556
apache/flink
flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java
OptimizerNode.setBroadcastInputs
public void setBroadcastInputs(Map<Operator<?>, OptimizerNode> operatorToNode, ExecutionMode defaultExchangeMode) { // skip for Operators that don't support broadcast variables if (!(getOperator() instanceof AbstractUdfOperator<?, ?>)) { return; } // get all broadcast inputs AbstractUdfOperator<?, ?> ope...
java
public void setBroadcastInputs(Map<Operator<?>, OptimizerNode> operatorToNode, ExecutionMode defaultExchangeMode) { // skip for Operators that don't support broadcast variables if (!(getOperator() instanceof AbstractUdfOperator<?, ?>)) { return; } // get all broadcast inputs AbstractUdfOperator<?, ?> ope...
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This function connects the operators that produce the broadcast inputs to this operator. @param operatorToNode The map from program operators to optimizer nodes. @param defaultExchangeMode The data exchange mode to use, if the operator does not specify one. @throws CompilerException
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java#L177-L194
123,557
apache/flink
flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java
OptimizerNode.setParallelism
public void setParallelism(int parallelism) { if (parallelism < 1 && parallelism != ExecutionConfig.PARALLELISM_DEFAULT) { throw new IllegalArgumentException("Parallelism of " + parallelism + " is invalid."); } this.parallelism = parallelism; }
java
public void setParallelism(int parallelism) { if (parallelism < 1 && parallelism != ExecutionConfig.PARALLELISM_DEFAULT) { throw new IllegalArgumentException("Parallelism of " + parallelism + " is invalid."); } this.parallelism = parallelism; }
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Sets the parallelism for this optimizer node. The parallelism denotes how many parallel instances of the operator will be spawned during the execution. @param parallelism The parallelism to set. If this value is {@link ExecutionConfig#PARALLELISM_DEFAULT} then the system will take the default number of parallel instan...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java#L394-L399
123,558
apache/flink
flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java
OptimizerNode.computeUnionOfInterestingPropertiesFromSuccessors
public void computeUnionOfInterestingPropertiesFromSuccessors() { List<DagConnection> conns = getOutgoingConnections(); if (conns.size() == 0) { // no incoming, we have none ourselves this.intProps = new InterestingProperties(); } else { this.intProps = conns.get(0).getInterestingProperties().clone(); ...
java
public void computeUnionOfInterestingPropertiesFromSuccessors() { List<DagConnection> conns = getOutgoingConnections(); if (conns.size() == 0) { // no incoming, we have none ourselves this.intProps = new InterestingProperties(); } else { this.intProps = conns.get(0).getInterestingProperties().clone(); ...
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Computes all the interesting properties that are relevant to this node. The interesting properties are a union of the interesting properties on each outgoing connection. However, if two interesting properties on the outgoing connections overlap, the interesting properties will occur only once in this set. For that, thi...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java#L546-L558
123,559
apache/flink
flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java
OptimizerNode.areBranchCompatible
protected boolean areBranchCompatible(PlanNode plan1, PlanNode plan2) { if (plan1 == null || plan2 == null) { throw new NullPointerException(); } // if there is no open branch, the children are always compatible. // in most plans, that will be the dominant case if (this.hereJoinedBranches == null || thi...
java
protected boolean areBranchCompatible(PlanNode plan1, PlanNode plan2) { if (plan1 == null || plan2 == null) { throw new NullPointerException(); } // if there is no open branch, the children are always compatible. // in most plans, that will be the dominant case if (this.hereJoinedBranches == null || thi...
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Checks whether to candidate plans for the sub-plan of this node are comparable. The two alternative plans are comparable, if a) There is no branch in the sub-plan of this node b) Both candidates have the same candidate as the child at the last open branch. @param plan1 The root node of the first candidate plan. @para...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-optimizer/src/main/java/org/apache/flink/optimizer/dag/OptimizerNode.java#L970-L990
123,560
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/heartbeat/HeartbeatServices.java
HeartbeatServices.createHeartbeatManager
public <I, O> HeartbeatManager<I, O> createHeartbeatManager( ResourceID resourceId, HeartbeatListener<I, O> heartbeatListener, ScheduledExecutor scheduledExecutor, Logger log) { return new HeartbeatManagerImpl<>( heartbeatTimeout, resourceId, heartbeatListener, scheduledExecutor, scheduledExec...
java
public <I, O> HeartbeatManager<I, O> createHeartbeatManager( ResourceID resourceId, HeartbeatListener<I, O> heartbeatListener, ScheduledExecutor scheduledExecutor, Logger log) { return new HeartbeatManagerImpl<>( heartbeatTimeout, resourceId, heartbeatListener, scheduledExecutor, scheduledExec...
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Creates a heartbeat manager which does not actively send heartbeats. @param resourceId Resource Id which identifies the owner of the heartbeat manager @param heartbeatListener Listener which will be notified upon heartbeat timeouts for registered targets @param scheduledExecutor Scheduled executor to be used for sched...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/heartbeat/HeartbeatServices.java#L61-L74
123,561
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/heartbeat/HeartbeatServices.java
HeartbeatServices.createHeartbeatManagerSender
public <I, O> HeartbeatManager<I, O> createHeartbeatManagerSender( ResourceID resourceId, HeartbeatListener<I, O> heartbeatListener, ScheduledExecutor scheduledExecutor, Logger log) { return new HeartbeatManagerSenderImpl<>( heartbeatInterval, heartbeatTimeout, resourceId, heartbeatListener, s...
java
public <I, O> HeartbeatManager<I, O> createHeartbeatManagerSender( ResourceID resourceId, HeartbeatListener<I, O> heartbeatListener, ScheduledExecutor scheduledExecutor, Logger log) { return new HeartbeatManagerSenderImpl<>( heartbeatInterval, heartbeatTimeout, resourceId, heartbeatListener, s...
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Creates a heartbeat manager which actively sends heartbeats to monitoring targets. @param resourceId Resource Id which identifies the owner of the heartbeat manager @param heartbeatListener Listener which will be notified upon heartbeat timeouts for registered targets @param scheduledExecutor Scheduled executor to be ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/heartbeat/HeartbeatServices.java#L88-L102
123,562
apache/flink
flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/ShardConsumer.java
ShardConsumer.adjustRunLoopFrequency
protected long adjustRunLoopFrequency(long processingStartTimeNanos, long processingEndTimeNanos) throws InterruptedException { long endTimeNanos = processingEndTimeNanos; if (fetchIntervalMillis != 0) { long processingTimeNanos = processingEndTimeNanos - processingStartTimeNanos; long sleepTimeMillis = fet...
java
protected long adjustRunLoopFrequency(long processingStartTimeNanos, long processingEndTimeNanos) throws InterruptedException { long endTimeNanos = processingEndTimeNanos; if (fetchIntervalMillis != 0) { long processingTimeNanos = processingEndTimeNanos - processingStartTimeNanos; long sleepTimeMillis = fet...
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Adjusts loop timing to match target frequency if specified. @param processingStartTimeNanos The start time of the run loop "work" @param processingEndTimeNanos The end time of the run loop "work" @return The System.nanoTime() after the sleep (if any) @throws InterruptedException
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/ShardConsumer.java#L285-L298
123,563
apache/flink
flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/ShardConsumer.java
ShardConsumer.adaptRecordsToRead
private int adaptRecordsToRead(long runLoopTimeNanos, int numRecords, long recordBatchSizeBytes, int maxNumberOfRecordsPerFetch) { if (useAdaptiveReads && numRecords != 0 && runLoopTimeNanos != 0) { long averageRecordSizeBytes = recordBatchSizeBytes / numRecords; // Adjust number of records to fetch from the...
java
private int adaptRecordsToRead(long runLoopTimeNanos, int numRecords, long recordBatchSizeBytes, int maxNumberOfRecordsPerFetch) { if (useAdaptiveReads && numRecords != 0 && runLoopTimeNanos != 0) { long averageRecordSizeBytes = recordBatchSizeBytes / numRecords; // Adjust number of records to fetch from the...
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Calculates how many records to read each time through the loop based on a target throughput and the measured frequenecy of the loop. @param runLoopTimeNanos The total time of one pass through the loop @param numRecords The number of records of the last read operation @param recordBatchSizeBytes The total batch size of ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/ShardConsumer.java#L308-L326
123,564
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java
JobVertex.getInvokableClass
public Class<? extends AbstractInvokable> getInvokableClass(ClassLoader cl) { if (cl == null) { throw new NullPointerException("The classloader must not be null."); } if (invokableClassName == null) { return null; } try { return Class.forName(invokableClassName, true, cl).asSubclass(AbstractInvokabl...
java
public Class<? extends AbstractInvokable> getInvokableClass(ClassLoader cl) { if (cl == null) { throw new NullPointerException("The classloader must not be null."); } if (invokableClassName == null) { return null; } try { return Class.forName(invokableClassName, true, cl).asSubclass(AbstractInvokabl...
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Returns the invokable class which represents the task of this vertex @param cl The classloader used to resolve user-defined classes @return The invokable class, <code>null</code> if it is not set
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java#L257-L274
123,565
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java
JobVertex.setResources
public void setResources(ResourceSpec minResources, ResourceSpec preferredResources) { this.minResources = checkNotNull(minResources); this.preferredResources = checkNotNull(preferredResources); }
java
public void setResources(ResourceSpec minResources, ResourceSpec preferredResources) { this.minResources = checkNotNull(minResources); this.preferredResources = checkNotNull(preferredResources); }
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Sets the minimum and preferred resources for the task. @param minResources The minimum resource for the task. @param preferredResources The preferred resource for the task.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java#L339-L342
123,566
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java
JobVertex.setSlotSharingGroup
public void setSlotSharingGroup(SlotSharingGroup grp) { if (this.slotSharingGroup != null) { this.slotSharingGroup.removeVertexFromGroup(id); } this.slotSharingGroup = grp; if (grp != null) { grp.addVertexToGroup(id); } }
java
public void setSlotSharingGroup(SlotSharingGroup grp) { if (this.slotSharingGroup != null) { this.slotSharingGroup.removeVertexFromGroup(id); } this.slotSharingGroup = grp; if (grp != null) { grp.addVertexToGroup(id); } }
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Associates this vertex with a slot sharing group for scheduling. Different vertices in the same slot sharing group can run one subtask each in the same slot. @param grp The slot sharing group to associate the vertex with.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobVertex.java#L366-L375
123,567
apache/flink
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/types/valuearray/IntValueArray.java
IntValueArray.ensureCapacity
private void ensureCapacity(int minCapacity) { long currentCapacity = data.length; if (minCapacity <= currentCapacity) { return; } // increase capacity by at least ~50% long expandedCapacity = Math.max(minCapacity, currentCapacity + (currentCapacity >> 1)); int newCapacity = (int) Math.min(MAX_ARRAY_SI...
java
private void ensureCapacity(int minCapacity) { long currentCapacity = data.length; if (minCapacity <= currentCapacity) { return; } // increase capacity by at least ~50% long expandedCapacity = Math.max(minCapacity, currentCapacity + (currentCapacity >> 1)); int newCapacity = (int) Math.min(MAX_ARRAY_SI...
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If the size of the array is insufficient to hold the given capacity then copy the array into a new, larger array. @param minCapacity minimum required number of elements
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/types/valuearray/IntValueArray.java#L101-L118
123,568
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobManagerRunner.java
JobManagerRunner.unregisterJobFromHighAvailability
private void unregisterJobFromHighAvailability() { try { runningJobsRegistry.setJobFinished(jobGraph.getJobID()); } catch (Throwable t) { log.error("Could not un-register from high-availability services job {} ({})." + "Other JobManager's may attempt to recover it and re-execute it.", jobGraph.get...
java
private void unregisterJobFromHighAvailability() { try { runningJobsRegistry.setJobFinished(jobGraph.getJobID()); } catch (Throwable t) { log.error("Could not un-register from high-availability services job {} ({})." + "Other JobManager's may attempt to recover it and re-execute it.", jobGraph.get...
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Marks this runner's job as not running. Other JobManager will not recover the job after this call. <p>This method never throws an exception.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobManagerRunner.java#L265-L274
123,569
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/failover/FailoverRegion.java
FailoverRegion.failover
private void failover(long globalModVersionOfFailover) { if (!executionGraph.getRestartStrategy().canRestart()) { executionGraph.failGlobal(new FlinkException("RestartStrategy validate fail")); } else { JobStatus curStatus = this.state; if (curStatus.equals(JobStatus.RUNNING)) { cancel(globalModVersi...
java
private void failover(long globalModVersionOfFailover) { if (!executionGraph.getRestartStrategy().canRestart()) { executionGraph.failGlobal(new FlinkException("RestartStrategy validate fail")); } else { JobStatus curStatus = this.state; if (curStatus.equals(JobStatus.RUNNING)) { cancel(globalModVersi...
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Notice the region to failover,
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/failover/FailoverRegion.java#L121-L137
123,570
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/failover/FailoverRegion.java
FailoverRegion.cancel
private void cancel(final long globalModVersionOfFailover) { executionGraph.getJobMasterMainThreadExecutor().assertRunningInMainThread(); while (true) { JobStatus curStatus = this.state; if (curStatus.equals(JobStatus.RUNNING)) { if (transitionState(curStatus, JobStatus.CANCELLING)) { createTerminat...
java
private void cancel(final long globalModVersionOfFailover) { executionGraph.getJobMasterMainThreadExecutor().assertRunningInMainThread(); while (true) { JobStatus curStatus = this.state; if (curStatus.equals(JobStatus.RUNNING)) { if (transitionState(curStatus, JobStatus.CANCELLING)) { createTerminat...
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cancel all executions in this sub graph
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/failover/FailoverRegion.java#L140-L156
123,571
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/failover/FailoverRegion.java
FailoverRegion.reset
private void reset(long globalModVersionOfFailover) { try { // reset all connected ExecutionVertexes final Collection<CoLocationGroup> colGroups = new HashSet<>(); final long restartTimestamp = System.currentTimeMillis(); for (ExecutionVertex ev : connectedExecutionVertexes) { CoLocationGroup cgroup ...
java
private void reset(long globalModVersionOfFailover) { try { // reset all connected ExecutionVertexes final Collection<CoLocationGroup> colGroups = new HashSet<>(); final long restartTimestamp = System.currentTimeMillis(); for (ExecutionVertex ev : connectedExecutionVertexes) { CoLocationGroup cgroup ...
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reset all executions in this sub graph
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/failover/FailoverRegion.java#L172-L204
123,572
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/failover/FailoverRegion.java
FailoverRegion.restart
private void restart(long globalModVersionOfFailover) { try { if (transitionState(JobStatus.CREATED, JobStatus.RUNNING)) { // if we have checkpointed state, reload it into the executions if (executionGraph.getCheckpointCoordinator() != null) { // we restart the checkpoint scheduler for // i) enab...
java
private void restart(long globalModVersionOfFailover) { try { if (transitionState(JobStatus.CREATED, JobStatus.RUNNING)) { // if we have checkpointed state, reload it into the executions if (executionGraph.getCheckpointCoordinator() != null) { // we restart the checkpoint scheduler for // i) enab...
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restart all executions in this sub graph
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/failover/FailoverRegion.java#L207-L253
123,573
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java
ConfigurationParserUtils.getManagedMemorySize
public static long getManagedMemorySize(Configuration configuration) { long managedMemorySize; String managedMemorySizeDefaultVal = TaskManagerOptions.MANAGED_MEMORY_SIZE.defaultValue(); if (!configuration.getString(TaskManagerOptions.MANAGED_MEMORY_SIZE).equals(managedMemorySizeDefaultVal)) { try { manage...
java
public static long getManagedMemorySize(Configuration configuration) { long managedMemorySize; String managedMemorySizeDefaultVal = TaskManagerOptions.MANAGED_MEMORY_SIZE.defaultValue(); if (!configuration.getString(TaskManagerOptions.MANAGED_MEMORY_SIZE).equals(managedMemorySizeDefaultVal)) { try { manage...
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Parses the configuration to get the managed memory size and validates the value. @param configuration configuration object @return managed memory size (in megabytes)
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java#L41-L62
123,574
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java
ConfigurationParserUtils.getManagedMemoryFraction
public static float getManagedMemoryFraction(Configuration configuration) { float managedMemoryFraction = configuration.getFloat(TaskManagerOptions.MANAGED_MEMORY_FRACTION); checkConfigParameter(managedMemoryFraction > 0.0f && managedMemoryFraction < 1.0f, managedMemoryFraction, TaskManagerOptions.MANAGED_MEMOR...
java
public static float getManagedMemoryFraction(Configuration configuration) { float managedMemoryFraction = configuration.getFloat(TaskManagerOptions.MANAGED_MEMORY_FRACTION); checkConfigParameter(managedMemoryFraction > 0.0f && managedMemoryFraction < 1.0f, managedMemoryFraction, TaskManagerOptions.MANAGED_MEMOR...
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Parses the configuration to get the fraction of managed memory and validates the value. @param configuration configuration object @return fraction of managed memory
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java#L70-L78
123,575
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java
ConfigurationParserUtils.getMemoryType
public static MemoryType getMemoryType(Configuration configuration) { // check whether we use heap or off-heap memory final MemoryType memType; if (configuration.getBoolean(TaskManagerOptions.MEMORY_OFF_HEAP)) { memType = MemoryType.OFF_HEAP; } else { memType = MemoryType.HEAP; } return memType; }
java
public static MemoryType getMemoryType(Configuration configuration) { // check whether we use heap or off-heap memory final MemoryType memType; if (configuration.getBoolean(TaskManagerOptions.MEMORY_OFF_HEAP)) { memType = MemoryType.OFF_HEAP; } else { memType = MemoryType.HEAP; } return memType; }
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Parses the configuration to get the type of memory. @param configuration configuration object @return type of memory
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java#L86-L95
123,576
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java
ConfigurationParserUtils.getSlot
public static int getSlot(Configuration configuration) { int slots = configuration.getInteger(TaskManagerOptions.NUM_TASK_SLOTS, 1); // we need this because many configs have been written with a "-1" entry if (slots == -1) { slots = 1; } ConfigurationParserUtils.checkConfigParameter(slots >= 1, slots, Tas...
java
public static int getSlot(Configuration configuration) { int slots = configuration.getInteger(TaskManagerOptions.NUM_TASK_SLOTS, 1); // we need this because many configs have been written with a "-1" entry if (slots == -1) { slots = 1; } ConfigurationParserUtils.checkConfigParameter(slots >= 1, slots, Tas...
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Parses the configuration to get the number of slots and validates the value. @param configuration configuration object @return the number of slots in task manager
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java#L103-L114
123,577
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java
ConfigurationParserUtils.checkConfigParameter
public static void checkConfigParameter(boolean condition, Object parameter, String name, String errorMessage) throws IllegalConfigurationException { if (!condition) { throw new IllegalConfigurationException("Invalid configuration value for " + name + " : " + parameter + " - " + errorMessage); } }
java
public static void checkConfigParameter(boolean condition, Object parameter, String name, String errorMessage) throws IllegalConfigurationException { if (!condition) { throw new IllegalConfigurationException("Invalid configuration value for " + name + " : " + parameter + " - " + errorMessage); } }
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Validates a condition for a config parameter and displays a standard exception, if the the condition does not hold. @param condition The condition that must hold. If the condition is false, an exception is thrown. @param parameter The parameter value. Will be shown in the exception message. @param ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/ConfigurationParserUtils.java#L127-L133
123,578
apache/flink
flink-yarn/src/main/java/org/apache/flink/yarn/highavailability/YarnHighAvailabilityServices.java
YarnHighAvailabilityServices.forSingleJobAppMaster
public static YarnHighAvailabilityServices forSingleJobAppMaster( Configuration flinkConfig, org.apache.hadoop.conf.Configuration hadoopConfig) throws IOException { checkNotNull(flinkConfig, "flinkConfig"); checkNotNull(hadoopConfig, "hadoopConfig"); final HighAvailabilityMode mode = HighAvailabilityMode....
java
public static YarnHighAvailabilityServices forSingleJobAppMaster( Configuration flinkConfig, org.apache.hadoop.conf.Configuration hadoopConfig) throws IOException { checkNotNull(flinkConfig, "flinkConfig"); checkNotNull(hadoopConfig, "hadoopConfig"); final HighAvailabilityMode mode = HighAvailabilityMode....
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Creates the high-availability services for a single-job Flink YARN application, to be used in the Application Master that runs both ResourceManager and JobManager. @param flinkConfig The Flink configuration. @param hadoopConfig The Hadoop configuration for the YARN cluster. @return The created high-availability serv...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-yarn/src/main/java/org/apache/flink/yarn/highavailability/YarnHighAvailabilityServices.java#L318-L336
123,579
apache/flink
flink-yarn/src/main/java/org/apache/flink/yarn/highavailability/YarnHighAvailabilityServices.java
YarnHighAvailabilityServices.forYarnTaskManager
public static YarnHighAvailabilityServices forYarnTaskManager( Configuration flinkConfig, org.apache.hadoop.conf.Configuration hadoopConfig) throws IOException { checkNotNull(flinkConfig, "flinkConfig"); checkNotNull(hadoopConfig, "hadoopConfig"); final HighAvailabilityMode mode = HighAvailabilityMode.fro...
java
public static YarnHighAvailabilityServices forYarnTaskManager( Configuration flinkConfig, org.apache.hadoop.conf.Configuration hadoopConfig) throws IOException { checkNotNull(flinkConfig, "flinkConfig"); checkNotNull(hadoopConfig, "hadoopConfig"); final HighAvailabilityMode mode = HighAvailabilityMode.fro...
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Creates the high-availability services for the TaskManagers participating in a Flink YARN application. @param flinkConfig The Flink configuration. @param hadoopConfig The Hadoop configuration for the YARN cluster. @return The created high-availability services. @throws IOException Thrown, if the high-availability s...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-yarn/src/main/java/org/apache/flink/yarn/highavailability/YarnHighAvailabilityServices.java#L349-L370
123,580
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/ChannelReaderInputView.java
ChannelReaderInputView.close
@Override public List<MemorySegment> close() throws IOException { if (this.closed) { throw new IllegalStateException("Already closed."); } this.closed = true; // re-collect all memory segments ArrayList<MemorySegment> list = this.freeMem; final MemorySegment current = getCurrentSegment(); if (current...
java
@Override public List<MemorySegment> close() throws IOException { if (this.closed) { throw new IllegalStateException("Already closed."); } this.closed = true; // re-collect all memory segments ArrayList<MemorySegment> list = this.freeMem; final MemorySegment current = getCurrentSegment(); if (current...
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Closes this InputView, closing the underlying reader and returning all memory segments. @return A list containing all memory segments originally supplied to this view. @throws IOException Thrown, if the underlying reader could not be properly closed.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/ChannelReaderInputView.java#L171-L199
123,581
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/ChannelReaderInputView.java
ChannelReaderInputView.sendReadRequest
protected void sendReadRequest(MemorySegment seg) throws IOException { if (this.numRequestsRemaining != 0) { this.reader.readBlock(seg); if (this.numRequestsRemaining != -1) { this.numRequestsRemaining--; } } else { // directly add it to the end of the return queue this.freeMem.add(seg); } }
java
protected void sendReadRequest(MemorySegment seg) throws IOException { if (this.numRequestsRemaining != 0) { this.reader.readBlock(seg); if (this.numRequestsRemaining != -1) { this.numRequestsRemaining--; } } else { // directly add it to the end of the return queue this.freeMem.add(seg); } }
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Sends a new read requests, if further requests remain. Otherwise, this method adds the segment directly to the readers return queue. @param seg The segment to use for the read request. @throws IOException Thrown, if the reader is in error.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/ChannelReaderInputView.java#L267-L277
123,582
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/typeinfo/TypeInformation.java
TypeInformation.of
public static <T> TypeInformation<T> of(Class<T> typeClass) { try { return TypeExtractor.createTypeInfo(typeClass); } catch (InvalidTypesException e) { throw new FlinkRuntimeException( "Cannot extract TypeInformation from Class alone, because generic parameters are missing. " + "Please use TypeInf...
java
public static <T> TypeInformation<T> of(Class<T> typeClass) { try { return TypeExtractor.createTypeInfo(typeClass); } catch (InvalidTypesException e) { throw new FlinkRuntimeException( "Cannot extract TypeInformation from Class alone, because generic parameters are missing. " + "Please use TypeInf...
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Creates a TypeInformation for the type described by the given class. <p>This method only works for non-generic types. For generic types, use the {@link #of(TypeHint)} method. @param typeClass The class of the type. @param <T> The generic type. @return The TypeInformation object for the type described by the hint.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/typeinfo/TypeInformation.java#L209-L220
123,583
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryArray.java
BinaryArray.calculateFixLengthPartSize
public static int calculateFixLengthPartSize(InternalType type) { if (type.equals(InternalTypes.BOOLEAN)) { return 1; } else if (type.equals(InternalTypes.BYTE)) { return 1; } else if (type.equals(InternalTypes.SHORT)) { return 2; } else if (type.equals(InternalTypes.INT)) { return 4; } else if (t...
java
public static int calculateFixLengthPartSize(InternalType type) { if (type.equals(InternalTypes.BOOLEAN)) { return 1; } else if (type.equals(InternalTypes.BYTE)) { return 1; } else if (type.equals(InternalTypes.SHORT)) { return 2; } else if (type.equals(InternalTypes.INT)) { return 4; } else if (t...
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It store real value when type is primitive. It store the length and offset of variable-length part when type is string, map, etc.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryArray.java#L59-L81
123,584
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java
ExecutionVertex.getPreferredLocationsBasedOnState
public Collection<CompletableFuture<TaskManagerLocation>> getPreferredLocationsBasedOnState() { TaskManagerLocation priorLocation; if (currentExecution.getTaskRestore() != null && (priorLocation = getLatestPriorLocation()) != null) { return Collections.singleton(CompletableFuture.completedFuture(priorLocation));...
java
public Collection<CompletableFuture<TaskManagerLocation>> getPreferredLocationsBasedOnState() { TaskManagerLocation priorLocation; if (currentExecution.getTaskRestore() != null && (priorLocation = getLatestPriorLocation()) != null) { return Collections.singleton(CompletableFuture.completedFuture(priorLocation));...
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Gets the preferred location to execute the current task execution attempt, based on the state that the execution attempt will resume. @return A size-one collection with the location preference, or null, if there is no location preference based on the state.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java#L504-L512
123,585
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java
ExecutionVertex.resetForNewExecution
public Execution resetForNewExecution(final long timestamp, final long originatingGlobalModVersion) throws GlobalModVersionMismatch { LOG.debug("Resetting execution vertex {} for new execution.", getTaskNameWithSubtaskIndex()); synchronized (priorExecutions) { // check if another global modification has been...
java
public Execution resetForNewExecution(final long timestamp, final long originatingGlobalModVersion) throws GlobalModVersionMismatch { LOG.debug("Resetting execution vertex {} for new execution.", getTaskNameWithSubtaskIndex()); synchronized (priorExecutions) { // check if another global modification has been...
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Archives the current Execution and creates a new Execution for this vertex. <p>This method atomically checks if the ExecutionGraph is still of an expected global mod. version and replaces the execution if that is the case. If the ExecutionGraph has increased its global mod. version in the meantime, this operation fail...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java#L586-L648
123,586
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java
ExecutionVertex.scheduleOrUpdateConsumers
void scheduleOrUpdateConsumers(ResultPartitionID partitionId) { final Execution execution = currentExecution; // Abort this request if there was a concurrent reset if (!partitionId.getProducerId().equals(execution.getAttemptId())) { return; } final IntermediateResultPartition partition = resultPartition...
java
void scheduleOrUpdateConsumers(ResultPartitionID partitionId) { final Execution execution = currentExecution; // Abort this request if there was a concurrent reset if (!partitionId.getProducerId().equals(execution.getAttemptId())) { return; } final IntermediateResultPartition partition = resultPartition...
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Schedules or updates the consumer tasks of the result partition with the given ID.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java#L707-L732
123,587
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java
ExecutionVertex.checkInputDependencyConstraints
boolean checkInputDependencyConstraints() { if (getInputDependencyConstraint() == InputDependencyConstraint.ANY) { // InputDependencyConstraint == ANY return IntStream.range(0, inputEdges.length).anyMatch(this::isInputConsumable); } else { // InputDependencyConstraint == ALL return IntStream.range(0, in...
java
boolean checkInputDependencyConstraints() { if (getInputDependencyConstraint() == InputDependencyConstraint.ANY) { // InputDependencyConstraint == ANY return IntStream.range(0, inputEdges.length).anyMatch(this::isInputConsumable); } else { // InputDependencyConstraint == ALL return IntStream.range(0, in...
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Check whether the InputDependencyConstraint is satisfied for this vertex. @return whether the input constraint is satisfied
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java#L767-L775
123,588
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java
ExecutionVertex.isInputConsumable
boolean isInputConsumable(int inputNumber) { return Arrays.stream(inputEdges[inputNumber]).map(ExecutionEdge::getSource).anyMatch( IntermediateResultPartition::isConsumable); }
java
boolean isInputConsumable(int inputNumber) { return Arrays.stream(inputEdges[inputNumber]).map(ExecutionEdge::getSource).anyMatch( IntermediateResultPartition::isConsumable); }
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Get whether an input of the vertex is consumable. An input is consumable when when any partition in it is consumable. Note that a BLOCKING result partition is only consumable when all partitions in the result are FINISHED. @return whether the input is consumable
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java#L785-L788
123,589
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java
ExecutionVertex.notifyStateTransition
void notifyStateTransition(Execution execution, ExecutionState newState, Throwable error) { // only forward this notification if the execution is still the current execution // otherwise we have an outdated execution if (currentExecution == execution) { getExecutionGraph().notifyExecutionChange(execution, newS...
java
void notifyStateTransition(Execution execution, ExecutionState newState, Throwable error) { // only forward this notification if the execution is still the current execution // otherwise we have an outdated execution if (currentExecution == execution) { getExecutionGraph().notifyExecutionChange(execution, newS...
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Simply forward this notification.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java#L813-L819
123,590
apache/flink
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/kryo/Serializers.java
Serializers.getContainedGenericTypes
private static void getContainedGenericTypes(CompositeType<?> typeInfo, List<GenericTypeInfo<?>> target) { for (int i = 0; i < typeInfo.getArity(); i++) { TypeInformation<?> type = typeInfo.getTypeAt(i); if (type instanceof CompositeType) { getContainedGenericTypes((CompositeType<?>) type, target); } els...
java
private static void getContainedGenericTypes(CompositeType<?> typeInfo, List<GenericTypeInfo<?>> target) { for (int i = 0; i < typeInfo.getArity(); i++) { TypeInformation<?> type = typeInfo.getTypeAt(i); if (type instanceof CompositeType) { getContainedGenericTypes((CompositeType<?>) type, target); } els...
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Returns all GenericTypeInfos contained in a composite type. @param typeInfo {@link CompositeType}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/kryo/Serializers.java#L135-L146
123,591
apache/flink
flink-filesystems/flink-s3-fs-base/src/main/java/org/apache/flink/fs/s3/common/utils/RefCountedTmpFileCreator.java
RefCountedTmpFileCreator.apply
@Override public RefCountedFile apply(File file) throws IOException { final File directory = tempDirectories[nextIndex()]; while (true) { try { if (file == null) { final File newFile = new File(directory, ".tmp_" + UUID.randomUUID()); final OutputStream out = Files.newOutputStream(newFile.toPath(...
java
@Override public RefCountedFile apply(File file) throws IOException { final File directory = tempDirectories[nextIndex()]; while (true) { try { if (file == null) { final File newFile = new File(directory, ".tmp_" + UUID.randomUUID()); final OutputStream out = Files.newOutputStream(newFile.toPath(...
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Gets the next temp file and stream to temp file. This creates the temp file atomically, making sure no previous file is overwritten. <p>This method is safe against concurrent use. @return A pair of temp file and output stream to that temp file. @throws IOException Thrown, if the stream to the temp file could not be o...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-s3-fs-base/src/main/java/org/apache/flink/fs/s3/common/utils/RefCountedTmpFileCreator.java#L72-L90
123,592
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/AsynchronousFileIOChannel.java
AsynchronousFileIOChannel.registerAllRequestsProcessedListener
protected boolean registerAllRequestsProcessedListener(NotificationListener listener) throws IOException { checkNotNull(listener); synchronized (listenerLock) { if (allRequestsProcessedListener == null) { // There was a race with the processing of the last outstanding request if (requestsNotReturned.get...
java
protected boolean registerAllRequestsProcessedListener(NotificationListener listener) throws IOException { checkNotNull(listener); synchronized (listenerLock) { if (allRequestsProcessedListener == null) { // There was a race with the processing of the last outstanding request if (requestsNotReturned.get...
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Registers a listener to be notified when all outstanding requests have been processed. <p> New requests can arrive right after the listener got notified. Therefore, it is not safe to assume that the number of outstanding requests is still zero after a notification unless there was a close right before the listener got...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/disk/iomanager/AsynchronousFileIOChannel.java#L266-L283
123,593
apache/flink
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java
ScatterGatherIteration.createResult
@Override public DataSet<Vertex<K, VV>> createResult() { if (this.initialVertices == null) { throw new IllegalStateException("The input data set has not been set."); } // prepare some type information TypeInformation<K> keyType = ((TupleTypeInfo<?>) initialVertices.getType()).getTypeAt(0); TypeInformatio...
java
@Override public DataSet<Vertex<K, VV>> createResult() { if (this.initialVertices == null) { throw new IllegalStateException("The input data set has not been set."); } // prepare some type information TypeInformation<K> keyType = ((TupleTypeInfo<?>) initialVertices.getType()).getTypeAt(0); TypeInformatio...
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Creates the operator that represents this scatter-gather graph computation. @return The operator that represents this scatter-gather graph computation.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java#L137-L179
123,594
apache/flink
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java
ScatterGatherIteration.buildScatterFunctionVerticesWithDegrees
private CoGroupOperator<?, ?, Tuple2<K, Message>> buildScatterFunctionVerticesWithDegrees( DeltaIteration<Vertex<K, Tuple3<VV, LongValue, LongValue>>, Vertex<K, Tuple3<VV, LongValue, LongValue>>> iteration, TypeInformation<Tuple2<K, Message>> messageTypeInfo, int whereArg, int equalToArg, DataSet<LongValue> nu...
java
private CoGroupOperator<?, ?, Tuple2<K, Message>> buildScatterFunctionVerticesWithDegrees( DeltaIteration<Vertex<K, Tuple3<VV, LongValue, LongValue>>, Vertex<K, Tuple3<VV, LongValue, LongValue>>> iteration, TypeInformation<Tuple2<K, Message>> messageTypeInfo, int whereArg, int equalToArg, DataSet<LongValue> nu...
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Method that builds the scatter function using a coGroup operator for a vertex containing degree information. It afterwards configures the function with a custom name and broadcast variables. @param iteration @param messageTypeInfo @param whereArg the argument for the where within the coGroup @param equalToArg the argu...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java#L497-L523
123,595
apache/flink
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java
ScatterGatherIteration.createResultSimpleVertex
private DataSet<Vertex<K, VV>> createResultSimpleVertex(EdgeDirection messagingDirection, TypeInformation<Tuple2<K, Message>> messageTypeInfo, DataSet<LongValue> numberOfVertices) { DataSet<Tuple2<K, Message>> messages; TypeInformation<Vertex<K, VV>> vertexTypes = initialVertices.getType(); final DeltaIterat...
java
private DataSet<Vertex<K, VV>> createResultSimpleVertex(EdgeDirection messagingDirection, TypeInformation<Tuple2<K, Message>> messageTypeInfo, DataSet<LongValue> numberOfVertices) { DataSet<Tuple2<K, Message>> messages; TypeInformation<Vertex<K, VV>> vertexTypes = initialVertices.getType(); final DeltaIterat...
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Creates the operator that represents this scatter-gather graph computation for a simple vertex. @param messagingDirection @param messageTypeInfo @param numberOfVertices @return the operator
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/spargel/ScatterGatherIteration.java#L559-L598
123,596
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/operators/Operator.java
Operator.setParallelism
public O setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 || parallelism == ExecutionConfig.PARALLELISM_DEFAULT, "The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default)."); this.parallelism = parallelism; @SuppressWarnings("unchecked") ...
java
public O setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 || parallelism == ExecutionConfig.PARALLELISM_DEFAULT, "The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default)."); this.parallelism = parallelism; @SuppressWarnings("unchecked") ...
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Sets the parallelism for this operator. The parallelism must be 1 or more. @param parallelism The parallelism for this operator. A value equal to {@link ExecutionConfig#PARALLELISM_DEFAULT} will use the system default. @return The operator with set parallelism.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/Operator.java#L121-L130
123,597
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/operators/Operator.java
Operator.setResources
private O setResources(ResourceSpec minResources, ResourceSpec preferredResources) { Preconditions.checkNotNull(minResources, "The min resources must be not null."); Preconditions.checkNotNull(preferredResources, "The preferred resources must be not null."); Preconditions.checkArgument(minResources.isValid() && ...
java
private O setResources(ResourceSpec minResources, ResourceSpec preferredResources) { Preconditions.checkNotNull(minResources, "The min resources must be not null."); Preconditions.checkNotNull(preferredResources, "The preferred resources must be not null."); Preconditions.checkArgument(minResources.isValid() && ...
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Sets the minimum and preferred resources for this operator. This overrides the default resources. The lower and upper resource limits will be considered in dynamic resource resize feature for future plan. @param minResources The minimum resources for this operator. @param preferredResources The preferred resources for...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/Operator.java#L145-L158
123,598
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/operators/Operator.java
Operator.setResources
private O setResources(ResourceSpec resources) { Preconditions.checkNotNull(resources, "The resources must be not null."); Preconditions.checkArgument(resources.isValid(), "The values in resources must be not less than 0."); this.minResources = resources; this.preferredResources = resources; @SuppressWarnin...
java
private O setResources(ResourceSpec resources) { Preconditions.checkNotNull(resources, "The resources must be not null."); Preconditions.checkArgument(resources.isValid(), "The values in resources must be not less than 0."); this.minResources = resources; this.preferredResources = resources; @SuppressWarnin...
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Sets the resources for this operator. This overrides the default minimum and preferred resources. @param resources The resources for this operator. @return The operator with set minimum and preferred resources.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/Operator.java#L166-L176
123,599
apache/flink
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/utils/proxy/GraphAlgorithmWrappingBase.java
GraphAlgorithmWrappingBase.setParallelism
public GraphAlgorithmWrappingBase<K, VV, EV, R> setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 || parallelism == PARALLELISM_DEFAULT, "The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default)."); this.parallelism = parallelism; return t...
java
public GraphAlgorithmWrappingBase<K, VV, EV, R> setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 || parallelism == PARALLELISM_DEFAULT, "The parallelism must be at least one, or ExecutionConfig.PARALLELISM_DEFAULT (use system default)."); this.parallelism = parallelism; return t...
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Set the parallelism for this algorithm's operators. This parameter is necessary because processing a small amount of data with high operator parallelism is slow and wasteful with memory and buffers. <p>Operator parallelism should be set to this given value unless processing asymptotically more data, in which case the ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/utils/proxy/GraphAlgorithmWrappingBase.java#L59-L66