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3.26
3.68
flink_SubtaskStateStats_m0_rdh
/** * Returns the size of the checkpointed state at this subtask. * * @return Checkpoint state size of the sub task. */ public long m0() { return stateSize; }
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flink_SubtaskStateStats_getPersistedData_rdh
/** * * @return the total number of persisted bytes during the checkpoint. */ public long getPersistedData() { return persistedData; }
3.26
flink_SubtaskStateStats_getEndToEndDuration_rdh
/** * Computes the duration since the given trigger timestamp. * * <p>If the trigger timestamp is greater than the ACK timestamp, this returns <code>0</code>. * * @param triggerTimestamp * Trigger timestamp of the checkpoint. * @return Duration since the given trigger timestamp. */ public long getEndToEndDura...
3.26
flink_SubtaskStateStats_getProcessedData_rdh
/** * * @return the total number of processed bytes during the checkpoint. */ public long getProcessedData() { return processedData; }
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flink_SubtaskStateStats_getCheckpointedSize_rdh
/** * Returns the incremental state size. * * @return The incremental state size. */ public long getCheckpointedSize() { return checkpointedSize; }
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flink_SubtaskStateStats_getAckTimestamp_rdh
/** * Returns the timestamp when the acknowledgement of this subtask was received at the * coordinator. * * @return ACK timestamp at the coordinator. */ public long getAckTimestamp() { return ackTimestamp; }
3.26
flink_AbstractHeapPriorityQueue_clear_rdh
/** * Clears the queue. */ public void clear() { final int arrayOffset = getHeadElementIndex(); Arrays.fill(queue, arrayOffset, arrayOffset + size, null); size = 0; }
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flink_AbstractHeapPriorityQueue_iterator_rdh
/** * Returns an iterator over the elements in this queue. The iterator does not return the * elements in any particular order. * * @return an iterator over the elements in this queue. */ @Nonnull @Override public CloseableIterator<T> iterator() { return new HeapIterator(); }
3.26
flink_GatewayRetriever_getNow_rdh
/** * Returns the currently retrieved gateway if there is such an object. Otherwise it returns an * empty optional. * * @return Optional object to retrieve */ default Optional<T> getNow() { CompletableFuture<T> leaderFuture = getFuture(); if (leaderFuture != null) { ...
3.26
flink_TimeIntervalTypeInfo_hashCode_rdh
// ---------------------------------------------------------------------------------------------- @Override public int hashCode() { return Objects.hash(clazz, serializer, comparatorClass); }
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flink_CoreOptions_fileSystemConnectionLimit_rdh
/** * The total number of input plus output connections that a file system for the given scheme may * open. Unlimited be default. */ public static ConfigOption<Integer> fileSystemConnectionLimit(String scheme) { return ConfigOptions.key(("fs." + scheme) + ".limit.total").intType().defaultValue(-1); }
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flink_CoreOptions_fileSystemConnectionLimitTimeout_rdh
/** * If any connection limit is configured, this option can be optionally set to define after * which time (in milliseconds) stream opening fails with a timeout exception, if no stream * connection becomes available. Unlimited timeout be default. */ public static Con...
3.26
flink_CoreOptions_fileSystemConnectionLimitOut_rdh
/** * The total number of output connections that a file system for the given scheme may open. * Unlimited be default. */ public static ConfigOption<Integer> fileSystemConnectionLimitOut(String scheme) { return ConfigOptions.key(("fs." + scheme) + ".limit.output").intType().defaultValue(-1); }
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flink_CoreOptions_fileSystemConnectionLimitIn_rdh
/** * The total number of input connections that a file system for the given scheme may open. * Unlimited be default. */ public static ConfigOption<Integer> fileSystemConnectionLimitIn(String scheme) { return ConfigOptions.key(("fs." + scheme) + ".limit.input").intType().defaultValue(-1); }
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flink_CoreOptions_fileSystemConnectionLimitStreamInactivityTimeout_rdh
/** * If any connection limit is configured, this option can be optionally set to define after * which time (in milliseconds) inactive streams are reclaimed. This option can help to prevent * that inactive streams make up the full pool of limited connections, and no further * connections can be established. Unlimit...
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flink_PrioritizedOperatorSubtaskState_getPrioritizedRawOperatorState_rdh
/** * Returns an immutable list with all alternative snapshots to restore the raw operator state, * in the order in which we should attempt to restore. */ @Nonnull public List<StateObjectCollection<OperatorStateHandle>> getPrioritizedRawOperatorState() { return prioritizedRawOperatorState; }
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flink_PrioritizedOperatorSubtaskState_getPrioritizedManagedOperatorState_rdh
// ----------------------------------------------------------------------------------------------------------------- /** * Returns an immutable list with all alternative snapshots to restore the managed operator * state, in the order in which we should attempt to restore. */@Nonnull public List<StateObjectCollection...
3.26
flink_PrioritizedOperatorSubtaskState_resolvePrioritizedAlternatives_rdh
/** * This helper method resolves the dependencies between the ground truth of the operator * state obtained from the job manager and potential alternatives for recovery, e.g. from a * task-local source. */ <T extends StateObject> List<StateObjectCollection<T>> resolvePrioritizedAlternatives(StateObjectCollection<T...
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flink_PrioritizedOperatorSubtaskState_getJobManagerManagedOperatorState_rdh
// ----------------------------------------------------------------------------------------------------------------- /** * Returns the managed operator state from the job manager, which represents the ground truth * about what this state should represent. This is the alternative with lowest priority. */ @Nonnull pub...
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flink_PrioritizedOperatorSubtaskState_computePrioritizedAlternatives_rdh
/** * This method creates an alternative recovery option by replacing as much job manager state * with higher prioritized (=local) alternatives as possible. * * @param jobManagerState * the state that the task got assigned from the job manager (this * state lives in remote storage). * @param alternativesByPr...
3.26
flink_PrioritizedOperatorSubtaskState_isRestored_rdh
// ----------------------------------------------------------------------------------------------------------------- /** * Returns true if this was created for a restored operator, false otherwise. Restored operators * are operators that participated in a previous checkpoint, even if they did not emit any state * sn...
3.26
flink_PrioritizedOperatorSubtaskState_getPrioritizedRawKeyedState_rdh
/** * Returns an immutable list with all alternative snapshots to restore the raw keyed state, in * the order in which we should attempt to restore. */ @Nonnull public List<StateObjectCollection<KeyedStateHandle>> getPrioritizedRawKeyedState() { return prioritizedRawKeyedState; }
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flink_PrioritizedOperatorSubtaskState_m0_rdh
/** * Returns the managed keyed state from the job manager, which represents the ground truth about * what this state should represent. This is the alternative with lowest priority. */ @Nonnull public StateObjectCollection<KeyedStateHandle> m0() { return lastElement(prioritizedManagedKeyedState); }
3.26
flink_HadoopRecoverableFsDataOutputStream_waitUntilLeaseIsRevoked_rdh
/** * Called when resuming execution after a failure and waits until the lease of the file we are * resuming is free. * * <p>The lease of the file we are resuming writing/committing to may still belong to the * process that failed previously and whose state we are recovering. * * @param path * The path to the...
3.26
flink_HadoopRecoverableFsDataOutputStream_revokeLeaseByFileSystem_rdh
/** * Resolve the real path of FileSystem if it is {@link ViewFileSystem} and revoke the lease of * the file we are resuming with different FileSystem. * * @param path * The path to the file we want to resume writing to. */ private static boolean revokeLeaseByFileSystem(final FileSystem fs, final Path path) t...
3.26
flink_HadoopRecoverableFsDataOutputStream_safelyTruncateFile_rdh
// ------------------------------------------------------------------------ // Reflection utils for truncation // These are needed to compile against Hadoop versions before // Hadoop 2.7, which have no truncation calls for HDFS. // ------------------------------------------------------------------------ private static ...
3.26
flink_CoGroupWithSolutionSetSecondDriver_m0_rdh
// -------------------------------------------------------------------------------------------- @Override @SuppressWarnings("unchecked") public void m0() throws Exception { final TypeComparator<IT2> solutionSetComparator; // grab a handle to the hash table from the iteration broker if (taskContext instanceof AbstractI...
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flink_CoGroupWithSolutionSetSecondDriver_setup_rdh
// -------------------------------------------------------------------------------------------- @Override public void setup(TaskContext<CoGroupFunction<IT1, IT2, OT>, OT> context) { this.taskContext = context; this.running = true; }
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flink_ExecutionFailureHandler_getFailureHandlingResult_rdh
/** * Return result of failure handling. Can be a set of task vertices to restart and a delay of * the restarting. Or that the failure is not recoverable and the reason for it. * * @param failedExecution * is the failed execution * @param cause * of the task failure * @param timestamp * of the task failu...
3.26
flink_ExecutionFailureHandler_getGlobalFailureHandlingResult_rdh
/** * Return result of failure handling on a global failure. Can be a set of task vertices to * restart and a delay of the restarting. Or that the failure is not recoverable and the reason * for it. * * @param cause * of the task failure * @param timestamp * of the task failure * @return result of the fail...
3.26
flink_BooleanValueComparator_supportsSerializationWithKeyNormalization_rdh
// -------------------------------------------------------------------------------------------- // unsupported normalization // -------------------------------------------------------------------------------------------- @Override public boolean supportsSerializationWithKeyNormalization() { return false; }
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flink_AnswerFormatter_format_rdh
/** * TPC-DS answer set has three kind of formats, recognize them and convert to unified format. * * @param originFile * origin answer set file from TPC-DS. * @param destFile * file to save formatted answer set. * @throws Exception */ private static void format(File originFile, File destFile) throws Excepti...
3.26
flink_PythonCsvUtils_createCsvBulkWriterFactory_rdh
/** * Util for creating a {@link BulkWriter.Factory} that wraps {@link CsvBulkWriter#forSchema}. */ public static BulkWriter.Factory<RowData> createCsvBulkWriterFactory(CsvSchema schema, DataType physicalDataType) { return CsvFileFormatFactory.createCsvBulkWriterFactory(schema, ((RowType) (physicalDataType.getL...
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flink_PythonCsvUtils_createRowDataToCsvFormatConverterContext_rdh
/** * Util for creating a {@link RowDataToCsvConverters.RowDataToCsvConverter.RowDataToCsvFormatConverterContext}. */ public static RowDataToCsvFormatConverterContext createRowDataToCsvFormatConverterContext(CsvMapper mapper, ContainerNode<?> container) { return new RowDataToCsvConverters.RowDataToCsvConverter.Ro...
3.26
flink_PythonCsvUtils_createCsvReaderFormat_rdh
/** * Util for creating a {@link CsvReaderFormat}. */ public static CsvReaderFormat<Object> createCsvReaderFormat(CsvSchema schema, DataType dataType) { Preconditions.checkArgument(dataType.getLogicalType() instanceof RowType); return new CsvReaderFormat<>(CsvMapper::new, ignored -> schema, JsonNode.c...
3.26
flink_SubtaskConnectionDescriptor_getInputSubtaskIndex_rdh
// ------------------------------------------------------------------------ public int getInputSubtaskIndex() { return inputSubtaskIndex; }
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flink_SubtaskConnectionDescriptor_write_rdh
// ------------------------------------------------------------------------ // Serialization // ------------------------------------------------------------------------ @Override public void write(DataOutputView out) { throw new UnsupportedOperationException("This method should never be called"); }
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flink_DataSourceTask_initOutputs_rdh
/** * Creates a writer for each output. Creates an OutputCollector which forwards its input to all * writers. The output collector applies the configured shipping strategy. */ private void initOutputs(UserCodeClassLoader cl) throws Exception { this.chainedTasks = new ArrayList<ChainedDriver<?, ?>>(); this.ev...
3.26
flink_DataSourceTask_initInputFormat_rdh
/** * Initializes the InputFormat implementation and configuration. * * @throws RuntimeException * Throws if instance of InputFormat implementation can not be * obtained. */ private void initInputFormat() { ClassLoader userCodeClassLoader = getUserCodeClassLoader(); // obtain task configuration (inclu...
3.26
flink_DataSourceTask_getLogString_rdh
/** * Utility function that composes a string for logging purposes. The string includes the given * message and the index of the task in its task group together with the number of tasks in the * task group. * * @param message * The main message for the log. * @param taskName * The name of the task. * @retu...
3.26
flink_BlobCacheService_setBlobServerAddress_rdh
/** * Sets the address of the {@link BlobServer}. * * @param blobServerAddress * address of the {@link BlobServer}. */ public void setBlobServerAddress(InetSocketAddress blobServerAddress) { permanentBlobCache.setBlobServerAddress(blobServerAddress); transientBlobCache.setBlobServerAddress(blobServerAdd...
3.26
flink_HiveParserDDLSemanticAnalyzer_getPartitionSpec_rdh
// get partition metadata public static Map<String, String> getPartitionSpec(HiveParserASTNode ast) { HiveParserASTNode partNode = null; // if this ast has only one child, then no partition spec specified. if (ast.getChildCount() == 1) { return null; } // if ast has two children // the 2nd child could be partition spec...
3.26
flink_HiveParserDDLSemanticAnalyzer_getFullyQualifiedName_rdh
// generate a name of the form a.b.c public static String getFullyQualifiedName(HiveParserASTNode ast) { if (ast.getChildCount() == 0) { return ast.getText(); } else if (ast.getChildCount() == 2) { return (getFullyQualifiedName(((HiveParserASTNode) (ast.getChild(0)))) + ".") + getFullyQualifiedName(((HiveParserASTNode...
3.26
flink_HiveParserDDLSemanticAnalyzer_validatePartitionValues_rdh
/** * Certain partition values are are used by hive. e.g. the default partition in dynamic * partitioning and the intermediate partition values used in the archiving process. Naturally, * prohibit the user from creating partitions with these reserved values. The check that this * function is more restrictive than t...
3.26
flink_HiveParserDDLSemanticAnalyzer_getColPath_rdh
// get the column path // return column name if exists, column could be DOT separated. // example: lintString.$elem$.myint // return table name for column name if no column has been specified. public static String getColPath(HiveParserASTNode node, String dbName, String tableName, Map<String, String> partSpec) { // if ...
3.26
flink_HiveParserDDLSemanticAnalyzer_getPartitionSpecs_rdh
// Get the partition specs from the tree private List<Map<String, String>> getPartitionSpecs(CommonTree ast) { List<Map<String, String>> partSpecs = new ArrayList<>(); // get partition metadata if partition specified for (int childIndex = 0; childIndex < ast.getChildCount(); childIndex++) { HiveParserASTNode v202 = ((...
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flink_HiveParserDDLSemanticAnalyzer_convertAlterTableAddParts_rdh
/** * Add one or more partitions to a table. Useful when the data has been copied to the right * location by some other process. */ private Operation convertAlterTableAddParts(String[] qualified, CommonTree ast) { // ^(TOK_ALTERTABLE_ADDPARTS identifier ifNotExists? // alterStatementSuffixAddPartitionsElement+) bool...
3.26
flink_HiveParserDDLSemanticAnalyzer_convertDescribeTable_rdh
/** * A query like this will generate a tree as follows "describe formatted default.maptable * partition (b=100) id;" TOK_TABTYPE TOK_TABNAME --> root for tablename, 2 child nodes mean DB * specified default maptable TOK_PARTSPEC --> root node for partition spec. else columnName * TOK_PARTVAL b 100 id --> root node...
3.26
flink_HiveParserDDLSemanticAnalyzer_convertShowFunctions_rdh
/** * Add the task according to the parsed command tree. This is used for the CLI command "SHOW * FUNCTIONS;". * * @param ast * The parsed command tree. */ private Operation convertShowFunctions(HiveParserASTNode ast) { if (ast.getChildCount() == 2) { assert ast.getChild(0).getType() == HiveASTParser.KW_LI...
3.26
flink_ExternalPythonKeyedProcessOperator_setCurrentKey_rdh
/** * As the beam state gRPC service will access the KeyedStateBackend in parallel with this * operator, we must override this method to prevent changing the current key of the * KeyedStateBackend while the beam service is handling requests. */ @Override public void setCurrentKey(Object key) { if (inBatchExecut...
3.26
flink_ExternalPythonKeyedProcessOperator_processTimer_rdh
/** * It is responsible to send timer data to python worker when a registered timer is fired. The * input data is a Row containing 4 fields: TimerFlag 0 for proc time, 1 for event time; * Timestamp of the fired timer; Current watermark and the key of the timer. * * @param timeDomain * The type of the timer. * ...
3.26
flink_AbstractCheckpointStats_getTaskStateStats_rdh
/** * Returns the task state stats for the given job vertex ID or <code>null</code> if no task with * such an ID is available. * * @param jobVertexId * Job vertex ID of the task stats to look up. * @return The task state stats instance for the given ID or <code>null</code>. */ public TaskStateStats getTaskStat...
3.26
flink_AbstractCheckpointStats_getAllTaskStateStats_rdh
/** * Returns all task state stats instances. * * @return All task state stats instances. */public Collection<TaskStateStats> getAllTaskStateStats() { return taskStats.values(); }
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flink_AbstractCheckpointStats_getLatestAckTimestamp_rdh
/** * Returns the ack timestamp of the latest acknowledged subtask or <code>-1</code> if none was * acknowledged yet. * * @return Ack timestamp of the latest acknowledged subtask or <code>-1</code>. */ public long getLatestAckTimestamp() { SubtaskStateStats subtask = getLatestAc...
3.26
flink_AbstractPagedInputView_getHeaderLength_rdh
/** * * @return header length. */ public int getHeaderLength() { return headerLength; }
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flink_AbstractPagedInputView_getCurrentSegment_rdh
// -------------------------------------------------------------------------------------------- // Page Management // -------------------------------------------------------------------------------------------- /** * Gets the memory segment that will be used to read the next bytes from. If the segment is * exactly ex...
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flink_AbstractPagedInputView_read_rdh
// -------------------------------------------------------------------------------------------- // Data Input Specific methods // -------------------------------------------------------------------------------------------- @Overridepublic int read(byte[] b) throws IOException { return read(b, 0, b.length); }
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flink_AbstractPagedInputView_clear_rdh
/** * Clears the internal state of the view. After this call, all read attempts will fail, until * the {@link #advance()} or {@link #seekInput(MemorySegment, int, int)} method have been * invoked. */ protected void clear() { this.currentSegment = null; this.positionInSegment = this.headerLength; this.l...
3.26
flink_AbstractPagedInputView_getCurrentSegmentLimit_rdh
/** * Gets the current limit in the memory segment. This value points to the byte one after the * last valid byte in the memory segment. * * @return The current limit in the memory segment. * @see #getCurrentPositionInSegment() */ public int getCurrentSegmentLimit() { return this.limitInSegment; } /** * The...
3.26
flink_AbstractPagedInputView_seekInput_rdh
/** * Sets the internal state of the view such that the next bytes will be read from the given * memory segment, starting at the given position. The memory segment will provide bytes up to * the given limit position. * * @param segment * The segment to read the next bytes from. * @param positionInSegment * ...
3.26
flink_AbstractPagedInputView_advance_rdh
/** * Advances the view to the next memory segment. The reading will continue after the header of * the next segment. This method uses {@link #nextSegment(MemorySegment)} and {@link #getLimitForSegment(MemorySegment)} to get the next segment and set its limit. * * @throws IOException * Thrown, if the next segmen...
3.26
flink_FactoryUtils_loadAndInvokeFactory_rdh
/** * Loads all factories for the given class using the {@link ServiceLoader} and attempts to * create an instance. * * @param factoryInterface * factory interface * @param factoryInvoker * factory invoker * @param defaultProvider * default factory provider * @param <R> * resource type * @param <F> ...
3.26
flink_QueryOperation_asSerializableString_rdh
/** * Returns a string that fully serializes this instance. The serialized string can be used for * storing the query in e.g. a {@link org.apache.flink.table.catalog.Catalog} as a view. * * @return detailed string for persisting in a catalog * @see Operation#asSummaryString() */ default String asSerializableStrin...
3.26
flink_ContinuousEnumerationSettings_toString_rdh
// ------------------------------------------------------------------------ @Override public String toString() { return (("ContinuousEnumerationSettings{" + "discoveryInterval=") + discoveryInterval) + '}'; }
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flink_DataSource_getSplitDataProperties_rdh
/** * Returns the {@link org.apache.flink.api.java.io.SplitDataProperties} for the {@link org.apache.flink.core.io.InputSplit}s of this DataSource for configurations. * * <p>SplitDataProperties can help to generate more efficient execution plans. * * <p><b> IMPORTANT: Incorrect configuration of SplitDataProperties...
3.26
flink_DataSource_getInputFormat_rdh
/** * Gets the input format that is executed by this data source. * * @return The input format that is executed by this data source. */ @Internal public InputFormat<OUT, ?> getInputFormat() { return this.inputFormat;}
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flink_DataSource_translateToDataFlow_rdh
// -------------------------------------------------------------------------------------------- protected GenericDataSourceBase<OUT, ?> translateToDataFlow() { String v0 = (this.name != null) ? this.name : ((("at " + dataSourceLocationName) + " (") + inputFormat.getClass().getNa...
3.26
flink_DataSource_getParameters_rdh
/** * * @return Configuration for the InputFormat. */public Configuration getParameters() { return this.parameters; }
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flink_DataSource_withParameters_rdh
/** * Pass a configuration to the InputFormat. * * @param parameters * Configuration parameters */ public DataSource<OUT> withParameters(Configuration parameters) { this.parameters = parameters; return this; }
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flink_FieldAccessorFactory_getAccessor_rdh
/** * Creates a {@link FieldAccessor} for the field that is given by a field expression, which can * be used to get and set the specified field on instances of this type. * * @param field * The field expression * @param config * Configuration object * @param <F> * The type of the field to access * @retu...
3.26
flink_AllWindowedStream_allowedLateness_rdh
/** * Sets the time by which elements are allowed to be late. Elements that arrive behind the * watermark by more than the specified time will be dropped. By default, the allowed lateness * is {@code 0L}. * * <p>Setting an allowed lateness is only valid for event-time windows. */ @PublicEvolving public AllWindowe...
3.26
flink_AllWindowedStream_m1_rdh
/** * Applies the given window function to each window. The window function is called for each * evaluation of the window. The output of the window function is interpreted as a regular * non-windowed stream. * * <p>Note that this function requires that all data in the windows is buffered until the window * is eva...
3.26
flink_AllWindowedStream_trigger_rdh
/** * Sets the {@code Trigger} that should be used to trigger window emission. */ @PublicEvolving public AllWindowedStream<T, W> trigger(Trigger<? super T, ? super W> trigger) { if ((windowAssigner instanceof MergingWindowAssigner) && (!trigger.canMerge())) { throw new UnsupportedOperationException("A me...
3.26
flink_AllWindowedStream_m0_rdh
/** * Applies the given window function to each window. The window function is called for each * evaluation of the window for each key individually. The output of the window function is * interpreted as a regular non-windowed stream. * * <p>Arriving data is incrementally aggregated using the given reducer. * * @...
3.26
flink_AllWindowedStream_apply_rdh
/** * Applies the given window function to each window. The window function is called for each * evaluation of the window for each key individually. The output of the window function is * interpreted as a regular non-windowed stream. * * <p>Arriving data is incrementally aggregated using t...
3.26
flink_AllWindowedStream_getExecutionEnvironment_rdh
// ------------------------------------------------------------------------ // Utilities // ------------------------------------------------------------------------ public StreamExecutionEnvironment getExecutionEnvironment() { return input.getExecutionEnvironment(); }
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flink_AllWindowedStream_minBy_rdh
/** * Applies an aggregation that gives the minimum element of the pojo data stream by the given * field expression for every window. A field expression is either the name of a public field or * a getter method with parentheses of the {@link DataStream DataStreams} underlying type. A dot * can be used to drill down...
3.26
flink_AllWindowedStream_aggregate_rdh
/** * Applies the given window function to each window. The window function is called for each * evaluation of the window for each key individually. The output of the window function is * interpreted as a regular non-windowed stream. * * <p>Arriving data is incrementally aggregated using the given aggregate functi...
3.26
flink_AllWindowedStream_sideOutputLateData_rdh
/** * Send late arriving data to the side output identified by the given {@link OutputTag}. Data is * considered late after the watermark has passed the end of the window plus the allowed * lateness set using {@link #allowedLateness(Time)}. * * <p>You can get the stream of late data using {...
3.26
flink_AllWindowedStream_process_rdh
/** * Applies the given window function to each window. The window function is called for each * evaluation of the window. The output of the window function is interpreted as a regular * non-windowed stream. * * <p>Note that this function requires that all data in the windows is buffered until the window * is eva...
3.26
flink_AllWindowedStream_sum_rdh
/** * Applies an aggregation that sums every window of the pojo data stream at the given field for * every window. * * <p>A field expression is either the name of a public field or a getter method with * parentheses of the stream's underlying type. A dot can be used to drill down into objects, as * in {@code "fie...
3.26
flink_AllWindowedStream_maxBy_rdh
/** * Applies an aggregation that gives the maximum element of the pojo data stream by the given * field expression for every window. A field expression is either the name of a public field or * a getter method with parentheses of the {@link DataStream}S underlying type. A dot can be * used to drill down into objec...
3.26
flink_AllWindowedStream_reduce_rdh
/** * Applies the given window function to each window. The window function is called for each * evaluation of the window for each key individually. The output of the window function is * interpreted as a regular non-windowed stream. * * <p>Arriving data is incrementally aggregated using the given reducer. * * @...
3.26
flink_AllWindowedStream_min_rdh
/** * Applies an aggregation that gives the minimum value of the pojo data stream at the given * field expression for every window. * * <p>A field expression is either the name of a public field or a getter method with * parentheses of the {@link DataStream}S underlying type. A dot can be used to drill down into ...
3.26
flink_AllWindowedStream_max_rdh
/** * Applies an aggregation that gives the maximum value of the pojo data stream at the given * field expression for every window. A field expression is either the name of a public field or * a getter method with parentheses of the {@link DataStream DataStreams} underlying type. A dot * can be used to drill down i...
3.26
flink_AllWindowedStream_evictor_rdh
/** * Sets the {@code Evictor} that should be used to evict elements from a window before emission. * * <p>Note: When using an evictor window performance will degrade significantly, since * incremental aggregation of window results cannot be used. */ @PublicEvolving public AllWindowedStream<T, W> evictor(Evictor<?...
3.26
flink_PartialCachingAsyncLookupProvider_of_rdh
/** * Build a {@link PartialCachingAsyncLookupProvider} from the specified {@link AsyncLookupFunction} and {@link LookupCache}. */ static PartialCachingAsyncLookupProvider of(AsyncLookupFunction asyncLookupFunction, LookupCache cache) { return new PartialCachingAsyncLookupProvider() { @Override pu...
3.26
flink_TaskExecutorManager_getTotalRegisteredResources_rdh
// --------------------------------------------------------------------------------------------- // slot / resource counts // --------------------------------------------------------------------------------------------- public ResourceProfile getTotalRegisteredResources() { return taskManagerRegistrations.values()....
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flink_TaskExecutorManager_clearPendingTaskManagerSlots_rdh
/** * clear all pending task manager slots. */ public void clearPendingTaskManagerSlots() { if (!resourceAllocator.isSupported()) { return; } if (!pendingSlots.isEmpty()) { this.pendingSlots.clear(); declareNeededResourcesWithDelay(); } }
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flink_TaskExecutorManager_occupySlot_rdh
// --------------------------------------------------------------------------------------------- // TaskExecutor slot book-keeping // --------------------------------------------------------------------------------------------- public void occupySlot(InstanceID instanceId) { taskManagerRegistrations.get(instanceId)...
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flink_TaskExecutorManager_isTaskManagerRegistered_rdh
// --------------------------------------------------------------------------------------------- // TaskExecutor (un)registration // --------------------------------------------------------------------------------------------- public boolean isTaskManagerRegistered(InstanceID instanceId) { return taskManagerRegistr...
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flink_TaskExecutorManager_checkTaskManagerTimeoutsAndRedundancy_rdh
// --------------------------------------------------------------------------------------------- // TaskExecutor idleness / redundancy // --------------------------------------------------------------------------------------------- private void checkTaskManagerTimeoutsAndRedundancy() { if (!taskManagerRegistrations...
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flink_TaskExecutorManager_removePendingTaskManagerSlots_rdh
/** * remove unused pending task manager slots. * * @param unusedResourceCounter * the count of unused resources. */ public void removePendingTaskManagerSlots(ResourceCounter unusedResourceCounter) { if (!resourceAllocator.isSupported()) { return; } Preconditions.checkState(unusedResource...
3.26
flink_TaskExecutorManager_declareNeededResources_rdh
/** * DO NOT call this method directly. Use {@link #declareNeededResourcesWithDelay()} instead. */ private void declareNeededResources() { resourceAllocator.declareResourceNeeded(getResourceDeclaration()); }
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flink_TaskExecutorManager_allocateWorkers_rdh
/** * Allocate a number of workers based on the input param. * * @param workerNum * the number of workers to allocate * @return the number of successfully allocated workers */ private int allocateWorkers(int workerNum) { int allocatedWorkerNum = 0; for (int i = 0; i < workerNum; ++i) { if (all...
3.26
flink_StreamWindowSQLExample_createTempFile_rdh
/** * Creates a temporary file with the contents and returns the absolute path. */ private static String createTempFile(String contents) throws IOException { File tempFile = File.createTempFile("orders", ".csv"); tempFile.deleteOnExit(); FileUtils.writeFileUtf8(tempFile, contents); return tempFile.t...
3.26
flink_DoubleZeroConvergence_isConverged_rdh
/** * Returns true, if the aggregator value is zero, false otherwise. * * @param iteration * The number of the iteration superstep. Ignored in this case. * @param value * The aggregator value, which is compared to zero. * @return True, if the aggregator value is zero, false otherwise. */ @Override public bo...
3.26
flink_SortMergeResultPartition_writeLargeRecord_rdh
/** * Spills the large record into the target {@link PartitionedFile} as a separate data region. */ private void writeLargeRecord(ByteBuffer record, int targetSubpartition, DataType dataType, boolean isBroadcast) throws IOException { // a large record will be spilled to a separated data region fileWriter.startNewRegi...
3.26
flink_GroupReduceIterator_reduce_rdh
// ------------------------------------------------------------------------------------------- @Override public final void reduce(Iterable<IN> values, Collector<OUT> out) throws Exception { for (Iterator<OUT> iter = reduceGroup(values); iter.hasNext();) { out.collect(iter.next()); } }
3.26
flink_TypeInferenceUtil_createInvalidInputException_rdh
/** * Returns an exception for invalid input arguments. */ public static ValidationException createInvalidInputException(TypeInference typeInference, CallContext callContext, ValidationException cause) { return new ValidationException(String.format("Invalid input arguments. Expected signatures are:\n%s", generate...
3.26