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apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java
MiniCluster.createMetricRegistry
protected MetricRegistryImpl createMetricRegistry(Configuration config) { return new MetricRegistryImpl( MetricRegistryConfiguration.fromConfiguration(config), ReporterSetup.fromConfiguration(config)); }
java
protected MetricRegistryImpl createMetricRegistry(Configuration config) { return new MetricRegistryImpl( MetricRegistryConfiguration.fromConfiguration(config), ReporterSetup.fromConfiguration(config)); }
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Factory method to create the metric registry for the mini cluster. @param config The configuration of the mini cluster
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java#L697-L701
124,301
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java
MiniCluster.createRpcService
protected RpcService createRpcService( AkkaRpcServiceConfiguration akkaRpcServiceConfig, boolean remoteEnabled, String bindAddress) { final Config akkaConfig; if (remoteEnabled) { akkaConfig = AkkaUtils.getAkkaConfig(akkaRpcServiceConfig.getConfiguration(), bindAddress, 0); } else { akkaConfig = ...
java
protected RpcService createRpcService( AkkaRpcServiceConfiguration akkaRpcServiceConfig, boolean remoteEnabled, String bindAddress) { final Config akkaConfig; if (remoteEnabled) { akkaConfig = AkkaUtils.getAkkaConfig(akkaRpcServiceConfig.getConfiguration(), bindAddress, 0); } else { akkaConfig = ...
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Factory method to instantiate the RPC service. @param akkaRpcServiceConfig The default RPC timeout for asynchronous "ask" requests. @param remoteEnabled True, if the RPC service should be reachable from other (remote) RPC services. @param bindAddress The address to bind the RPC service to. Only relevant when "remoteEn...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java#L715-L733
124,302
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphHasherV2.java
StreamGraphHasherV2.generateNodeHash
private boolean generateNodeHash( StreamNode node, HashFunction hashFunction, Map<Integer, byte[]> hashes, boolean isChainingEnabled, StreamGraph streamGraph) { // Check for user-specified ID String userSpecifiedHash = node.getTransformationUID(); if (userSpecifiedHash == null) { // Check that...
java
private boolean generateNodeHash( StreamNode node, HashFunction hashFunction, Map<Integer, byte[]> hashes, boolean isChainingEnabled, StreamGraph streamGraph) { // Check for user-specified ID String userSpecifiedHash = node.getTransformationUID(); if (userSpecifiedHash == null) { // Check that...
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Generates a hash for the node and returns whether the operation was successful. @param node The node to generate the hash for @param hashFunction The hash function to use @param hashes The current state of generated hashes @return <code>true</code> if the node hash has been generated. <code>false</code>,...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphHasherV2.java#L144-L196
124,303
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphHasherV2.java
StreamGraphHasherV2.generateUserSpecifiedHash
private byte[] generateUserSpecifiedHash(StreamNode node, Hasher hasher) { hasher.putString(node.getTransformationUID(), Charset.forName("UTF-8")); return hasher.hash().asBytes(); }
java
private byte[] generateUserSpecifiedHash(StreamNode node, Hasher hasher) { hasher.putString(node.getTransformationUID(), Charset.forName("UTF-8")); return hasher.hash().asBytes(); }
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Generates a hash from a user-specified ID.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphHasherV2.java#L201-L205
124,304
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphHasherV2.java
StreamGraphHasherV2.generateDeterministicHash
private byte[] generateDeterministicHash( StreamNode node, Hasher hasher, Map<Integer, byte[]> hashes, boolean isChainingEnabled, StreamGraph streamGraph) { // Include stream node to hash. We use the current size of the computed // hashes as the ID. We cannot use the node's ID, because it is // as...
java
private byte[] generateDeterministicHash( StreamNode node, Hasher hasher, Map<Integer, byte[]> hashes, boolean isChainingEnabled, StreamGraph streamGraph) { // Include stream node to hash. We use the current size of the computed // hashes as the ID. We cannot use the node's ID, because it is // as...
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Generates a deterministic hash from node-local properties and input and output edges.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/StreamGraphHasherV2.java#L211-L267
124,305
apache/flink
flink-core/src/main/java/org/apache/flink/util/MathUtils.java
MathUtils.murmurHash
public static int murmurHash(int code) { code *= 0xcc9e2d51; code = Integer.rotateLeft(code, 15); code *= 0x1b873593; code = Integer.rotateLeft(code, 13); code = code * 5 + 0xe6546b64; code ^= 4; code = bitMix(code); if (code >= 0) { return code; } else if (code != Integer.MIN_VALUE) { retu...
java
public static int murmurHash(int code) { code *= 0xcc9e2d51; code = Integer.rotateLeft(code, 15); code *= 0x1b873593; code = Integer.rotateLeft(code, 13); code = code * 5 + 0xe6546b64; code ^= 4; code = bitMix(code); if (code >= 0) { return code; } else if (code != Integer.MIN_VALUE) { retu...
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This function hashes an integer value. <p>It is crucial to use different hash functions to partition data across machines and the internal partitioning of data structures. This hash function is intended for partitioning across machines. @param code The integer to be hashed. @return The non-negative hash code for the ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/MathUtils.java#L134-L154
124,306
apache/flink
flink-core/src/main/java/org/apache/flink/util/MathUtils.java
MathUtils.roundUpToPowerOfTwo
public static int roundUpToPowerOfTwo(int x) { x = x - 1; x |= x >> 1; x |= x >> 2; x |= x >> 4; x |= x >> 8; x |= x >> 16; return x + 1; }
java
public static int roundUpToPowerOfTwo(int x) { x = x - 1; x |= x >> 1; x |= x >> 2; x |= x >> 4; x |= x >> 8; x |= x >> 16; return x + 1; }
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Round the given number to the next power of two. @param x number to round @return x rounded up to the next power of two
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/MathUtils.java#L161-L169
124,307
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/StackTraceSampleService.java
StackTraceSampleService.requestStackTraceSample
public CompletableFuture<List<StackTraceElement[]>> requestStackTraceSample( final StackTraceSampleableTask task, @Nonnegative final int numSamples, final Time delayBetweenSamples, final int maxStackTraceDepth) { checkNotNull(task, "task must not be null"); checkArgument(numSamples > 0, "numSamples mus...
java
public CompletableFuture<List<StackTraceElement[]>> requestStackTraceSample( final StackTraceSampleableTask task, @Nonnegative final int numSamples, final Time delayBetweenSamples, final int maxStackTraceDepth) { checkNotNull(task, "task must not be null"); checkArgument(numSamples > 0, "numSamples mus...
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Returns a future that completes with a given number of stack trace samples of a task thread. @param task The task to be sampled from. @param numSamples The number of samples. @param delayBetweenSamples The time to wait between taking samples. @param maxStackTraceDepth The maximum depth of the ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/StackTraceSampleService.java#L60-L77
124,308
apache/flink
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/NoFetchingInput.java
NoFetchingInput.require
@Override protected int require(int required) throws KryoException { if(required > capacity) { throw new KryoException("Buffer too small: capacity: " + capacity + ", " + "required: " + required); } position = 0; int bytesRead = 0; int count; while(true){ count = fill(buffer, bytesRead, required...
java
@Override protected int require(int required) throws KryoException { if(required > capacity) { throw new KryoException("Buffer too small: capacity: " + capacity + ", " + "required: " + required); } position = 0; int bytesRead = 0; int count; while(true){ count = fill(buffer, bytesRead, required...
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Require makes sure that at least required number of bytes are kept in the buffer. If not, then it will load exactly the difference between required and currently available number of bytes. Thus, it will only load the data which is required and never prefetch data. @param required the number of bytes being available in...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/NoFetchingInput.java#L65-L89
124,309
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/MultipleIdsMessageAcknowledgingSourceBase.java
MultipleIdsMessageAcknowledgingSourceBase.acknowledgeIDs
@Override protected final void acknowledgeIDs(long checkpointId, Set<UId> uniqueIds) { LOG.debug("Acknowledging ids for checkpoint {}", checkpointId); Iterator<Tuple2<Long, List<SessionId>>> iterator = sessionIdsPerSnapshot.iterator(); while (iterator.hasNext()) { final Tuple2<Long, List<SessionId>> next = it...
java
@Override protected final void acknowledgeIDs(long checkpointId, Set<UId> uniqueIds) { LOG.debug("Acknowledging ids for checkpoint {}", checkpointId); Iterator<Tuple2<Long, List<SessionId>>> iterator = sessionIdsPerSnapshot.iterator(); while (iterator.hasNext()) { final Tuple2<Long, List<SessionId>> next = it...
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Acknowledges the session ids. @param checkpointId The id of the current checkout to acknowledge ids for. @param uniqueIds The checkpointed unique ids which are ignored here. They only serve as a means of de-duplicating messages when the acknowledgment after a checkpoint fails.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/MultipleIdsMessageAcknowledgingSourceBase.java#L114-L127
124,310
apache/flink
flink-table/flink-table-common/src/main/java/org/apache/flink/table/functions/UserDefinedFunction.java
UserDefinedFunction.functionIdentifier
public final String functionIdentifier() { final String md5 = EncodingUtils.hex(EncodingUtils.md5(EncodingUtils.encodeObjectToString(this))); return getClass().getCanonicalName().replace('.', '$').concat("$").concat(md5); }
java
public final String functionIdentifier() { final String md5 = EncodingUtils.hex(EncodingUtils.md5(EncodingUtils.encodeObjectToString(this))); return getClass().getCanonicalName().replace('.', '$').concat("$").concat(md5); }
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Returns a unique, serialized representation for this function.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-common/src/main/java/org/apache/flink/table/functions/UserDefinedFunction.java#L36-L39
124,311
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/JobID.java
JobID.fromHexString
public static JobID fromHexString(String hexString) { try { return new JobID(StringUtils.hexStringToByte(hexString)); } catch (Exception e) { throw new IllegalArgumentException("Cannot parse JobID from \"" + hexString + "\". The expected format is " + "[0-9a-fA-F]{32}, e.g. fd72014d4c864993a2e5a9287b4a9c5...
java
public static JobID fromHexString(String hexString) { try { return new JobID(StringUtils.hexStringToByte(hexString)); } catch (Exception e) { throw new IllegalArgumentException("Cannot parse JobID from \"" + hexString + "\". The expected format is " + "[0-9a-fA-F]{32}, e.g. fd72014d4c864993a2e5a9287b4a9c5...
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Parses a JobID from the given string. @param hexString string representation of a JobID @return Parsed JobID @throws IllegalArgumentException if the JobID could not be parsed from the given string
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/JobID.java#L107-L114
124,312
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/rank/AbstractTopNFunction.java
AbstractTopNFunction.initRankEnd
protected long initRankEnd(BaseRow row) throws Exception { if (isConstantRankEnd) { return rankEnd; } else { Long rankEndValue = rankEndState.value(); long curRankEnd = rankEndFetcher.apply(row); if (rankEndValue == null) { rankEnd = curRankEnd; rankEndState.update(rankEnd); return rankEnd; ...
java
protected long initRankEnd(BaseRow row) throws Exception { if (isConstantRankEnd) { return rankEnd; } else { Long rankEndValue = rankEndState.value(); long curRankEnd = rankEndFetcher.apply(row); if (rankEndValue == null) { rankEnd = curRankEnd; rankEndState.update(rankEnd); return rankEnd; ...
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Initialize rank end. @param row input record @return rank end @throws Exception
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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/rank/AbstractTopNFunction.java#L189-L208
124,313
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/rank/AbstractTopNFunction.java
AbstractTopNFunction.checkSortKeyInBufferRange
protected boolean checkSortKeyInBufferRange(BaseRow sortKey, TopNBuffer buffer) { Comparator<BaseRow> comparator = buffer.getSortKeyComparator(); Map.Entry<BaseRow, Collection<BaseRow>> worstEntry = buffer.lastEntry(); if (worstEntry == null) { // return true if the buffer is empty. return true; } else { ...
java
protected boolean checkSortKeyInBufferRange(BaseRow sortKey, TopNBuffer buffer) { Comparator<BaseRow> comparator = buffer.getSortKeyComparator(); Map.Entry<BaseRow, Collection<BaseRow>> worstEntry = buffer.lastEntry(); if (worstEntry == null) { // return true if the buffer is empty. return true; } else { ...
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Checks whether the record should be put into the buffer. @param sortKey sortKey to test @param buffer buffer to add @return true if the record should be put into the buffer.
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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/rank/AbstractTopNFunction.java#L217-L232
124,314
apache/flink
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java
NFA.open
public void open(RuntimeContext cepRuntimeContext, Configuration conf) throws Exception { for (State<T> state : getStates()) { for (StateTransition<T> transition : state.getStateTransitions()) { IterativeCondition condition = transition.getCondition(); FunctionUtils.setFunctionRuntimeContext(condition, cep...
java
public void open(RuntimeContext cepRuntimeContext, Configuration conf) throws Exception { for (State<T> state : getStates()) { for (StateTransition<T> transition : state.getStateTransitions()) { IterativeCondition condition = transition.getCondition(); FunctionUtils.setFunctionRuntimeContext(condition, cep...
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Initialization method for the NFA. It is called before any element is passed and thus suitable for one time setup work. @param cepRuntimeContext runtime context of the enclosing operator @param conf The configuration containing the parameters attached to the contract.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java#L179-L187
124,315
apache/flink
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java
NFA.close
public void close() throws Exception { for (State<T> state : getStates()) { for (StateTransition<T> transition : state.getStateTransitions()) { IterativeCondition condition = transition.getCondition(); FunctionUtils.closeFunction(condition); } } }
java
public void close() throws Exception { for (State<T> state : getStates()) { for (StateTransition<T> transition : state.getStateTransitions()) { IterativeCondition condition = transition.getCondition(); FunctionUtils.closeFunction(condition); } } }
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Tear-down method for the NFA.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java#L192-L199
124,316
apache/flink
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java
NFA.process
public Collection<Map<String, List<T>>> process( final SharedBufferAccessor<T> sharedBufferAccessor, final NFAState nfaState, final T event, final long timestamp, final AfterMatchSkipStrategy afterMatchSkipStrategy, final TimerService timerService) throws Exception { try (EventWrapper eventWrapper =...
java
public Collection<Map<String, List<T>>> process( final SharedBufferAccessor<T> sharedBufferAccessor, final NFAState nfaState, final T event, final long timestamp, final AfterMatchSkipStrategy afterMatchSkipStrategy, final TimerService timerService) throws Exception { try (EventWrapper eventWrapper =...
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Processes the next input event. If some of the computations reach a final state then the resulting event sequences are returned. If computations time out and timeout handling is activated, then the timed out event patterns are returned. <p>If computations reach a stop state, the path forward is discarded and currently...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java#L220-L230
124,317
apache/flink
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java
NFA.extractCurrentMatches
private Map<String, List<EventId>> extractCurrentMatches( final SharedBufferAccessor<T> sharedBufferAccessor, final ComputationState computationState) throws Exception { if (computationState.getPreviousBufferEntry() == null) { return new HashMap<>(); } List<Map<String, List<EventId>>> paths = sharedBuff...
java
private Map<String, List<EventId>> extractCurrentMatches( final SharedBufferAccessor<T> sharedBufferAccessor, final ComputationState computationState) throws Exception { if (computationState.getPreviousBufferEntry() == null) { return new HashMap<>(); } List<Map<String, List<EventId>>> paths = sharedBuff...
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Extracts all the sequences of events from the start to the given computation state. An event sequence is returned as a map which contains the events and the names of the states to which the events were mapped. @param sharedBufferAccessor The accessor to {@link SharedBuffer} from which to extract the matches @param com...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/nfa/NFA.java#L765-L783
124,318
apache/flink
flink-formats/flink-json/src/main/java/org/apache/flink/formats/json/JsonRowSchemaConverter.java
JsonRowSchemaConverter.convert
@SuppressWarnings("unchecked") public static <T> TypeInformation<T> convert(String jsonSchema) { Preconditions.checkNotNull(jsonSchema, "JSON schema"); final ObjectMapper mapper = new ObjectMapper(); mapper.getFactory() .enable(JsonParser.Feature.ALLOW_COMMENTS) .enable(JsonParser.Feature.ALLOW_UNQUOTED_FI...
java
@SuppressWarnings("unchecked") public static <T> TypeInformation<T> convert(String jsonSchema) { Preconditions.checkNotNull(jsonSchema, "JSON schema"); final ObjectMapper mapper = new ObjectMapper(); mapper.getFactory() .enable(JsonParser.Feature.ALLOW_COMMENTS) .enable(JsonParser.Feature.ALLOW_UNQUOTED_FI...
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Converts a JSON schema into Flink's type information. Throws an exception if the schema cannot converted because of loss of precision or too flexible schema. <p>The converter can resolve simple schema references to solve those cases where entities are defined at the beginning and then used throughout a document.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-formats/flink-json/src/main/java/org/apache/flink/formats/json/JsonRowSchemaConverter.java#L97-L113
124,319
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/TaskExecutionState.java
TaskExecutionState.getError
public Throwable getError(ClassLoader userCodeClassloader) { if (this.throwable == null) { return null; } else { return this.throwable.deserializeError(userCodeClassloader); } }
java
public Throwable getError(ClassLoader userCodeClassloader) { if (this.throwable == null) { return null; } else { return this.throwable.deserializeError(userCodeClassloader); } }
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Gets the attached exception, which is in serialized form. Returns null, if the status update is no failure with an associated exception. @param userCodeClassloader The classloader that can resolve user-defined exceptions. @return The attached exception, or null, if none.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/TaskExecutionState.java#L130-L137
124,320
apache/flink
flink-filesystems/flink-swift-fs-hadoop/src/main/java/org/apache/hadoop/conf/Configuration.java
Configuration.getPasswordFromCredentialProviders
protected char[] getPasswordFromCredentialProviders(String name) throws IOException { char[] pass = null; try { List<CredentialProvider> providers = CredentialProviderFactory.getProviders(this); if (providers != null) { for (CredentialProvider provider : providers) { ...
java
protected char[] getPasswordFromCredentialProviders(String name) throws IOException { char[] pass = null; try { List<CredentialProvider> providers = CredentialProviderFactory.getProviders(this); if (providers != null) { for (CredentialProvider provider : providers) { ...
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Try and resolve the provided element name as a credential provider alias. @param name alias of the provisioned credential @return password or null if not found @throws IOException
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-swift-fs-hadoop/src/main/java/org/apache/hadoop/conf/Configuration.java#L1929-L1957
124,321
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/operators/IterativeDataSet.java
IterativeDataSet.closeWith
public DataSet<T> closeWith(DataSet<T> iterationResult) { return new BulkIterationResultSet<T>(getExecutionEnvironment(), getType(), this, iterationResult); }
java
public DataSet<T> closeWith(DataSet<T> iterationResult) { return new BulkIterationResultSet<T>(getExecutionEnvironment(), getType(), this, iterationResult); }
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Closes the iteration. This method defines the end of the iterative program part. @param iterationResult The data set that will be fed back to the next iteration. @return The DataSet that represents the result of the iteration, after the computation has terminated. @see DataSet#iterate(int)
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/IterativeDataSet.java#L63-L65
124,322
apache/flink
flink-core/src/main/java/org/apache/flink/util/AbstractID.java
AbstractID.getBytes
public byte[] getBytes() { byte[] bytes = new byte[SIZE]; longToByteArray(lowerPart, bytes, 0); longToByteArray(upperPart, bytes, SIZE_OF_LONG); return bytes; }
java
public byte[] getBytes() { byte[] bytes = new byte[SIZE]; longToByteArray(lowerPart, bytes, 0); longToByteArray(upperPart, bytes, SIZE_OF_LONG); return bytes; }
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Gets the bytes underlying this ID. @return The bytes underlying this ID.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/AbstractID.java#L123-L128
124,323
apache/flink
flink-core/src/main/java/org/apache/flink/util/AbstractID.java
AbstractID.toHexString
public final String toHexString() { if (this.hexString == null) { final byte[] ba = new byte[SIZE]; longToByteArray(this.lowerPart, ba, 0); longToByteArray(this.upperPart, ba, SIZE_OF_LONG); this.hexString = StringUtils.byteToHexString(ba); } return this.hexString; }
java
public final String toHexString() { if (this.hexString == null) { final byte[] ba = new byte[SIZE]; longToByteArray(this.lowerPart, ba, 0); longToByteArray(this.upperPart, ba, SIZE_OF_LONG); this.hexString = StringUtils.byteToHexString(ba); } return this.hexString; }
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Returns pure String representation of the ID in hexadecimal. This method should be used to construct things like paths etc., that require a stable representation and is therefore final.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/AbstractID.java#L134-L144
124,324
apache/flink
flink-core/src/main/java/org/apache/flink/util/AbstractID.java
AbstractID.byteArrayToLong
private static long byteArrayToLong(byte[] ba, int offset) { long l = 0; for (int i = 0; i < SIZE_OF_LONG; ++i) { l |= (ba[offset + SIZE_OF_LONG - 1 - i] & 0xffL) << (i << 3); } return l; }
java
private static long byteArrayToLong(byte[] ba, int offset) { long l = 0; for (int i = 0; i < SIZE_OF_LONG; ++i) { l |= (ba[offset + SIZE_OF_LONG - 1 - i] & 0xffL) << (i << 3); } return l; }
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Converts the given byte array to a long. @param ba the byte array to be converted @param offset the offset indicating at which byte inside the array the conversion shall begin @return the long variable
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/AbstractID.java#L193-L201
124,325
apache/flink
flink-core/src/main/java/org/apache/flink/util/AbstractID.java
AbstractID.longToByteArray
private static void longToByteArray(long l, byte[] ba, int offset) { for (int i = 0; i < SIZE_OF_LONG; ++i) { final int shift = i << 3; // i * 8 ba[offset + SIZE_OF_LONG - 1 - i] = (byte) ((l & (0xffL << shift)) >>> shift); } }
java
private static void longToByteArray(long l, byte[] ba, int offset) { for (int i = 0; i < SIZE_OF_LONG; ++i) { final int shift = i << 3; // i * 8 ba[offset + SIZE_OF_LONG - 1 - i] = (byte) ((l & (0xffL << shift)) >>> shift); } }
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Converts a long to a byte array. @param l the long variable to be converted @param ba the byte array to store the result the of the conversion @param offset offset indicating at what position inside the byte array the result of the conversion shall be stored
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/AbstractID.java#L210-L215
124,326
apache/flink
flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/KafkaTopicPartitionAssigner.java
KafkaTopicPartitionAssigner.assign
public static int assign(KafkaTopicPartition partition, int numParallelSubtasks) { int startIndex = ((partition.getTopic().hashCode() * 31) & 0x7FFFFFFF) % numParallelSubtasks; // here, the assumption is that the id of Kafka partitions are always ascending // starting from 0, and therefore can be used directly a...
java
public static int assign(KafkaTopicPartition partition, int numParallelSubtasks) { int startIndex = ((partition.getTopic().hashCode() * 31) & 0x7FFFFFFF) % numParallelSubtasks; // here, the assumption is that the id of Kafka partitions are always ascending // starting from 0, and therefore can be used directly a...
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Returns the index of the target subtask that a specific Kafka partition should be assigned to. <p>The resulting distribution of partitions of a single topic has the following contract: <ul> <li>1. Uniformly distributed across subtasks</li> <li>2. Partitions are round-robin distributed (strictly clockwise w.r.t. ascend...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/KafkaTopicPartitionAssigner.java#L51-L57
124,327
apache/flink
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/gsa/GatherSumApplyIteration.java
GatherSumApplyIteration.withEdges
public static <K, VV, EV, M> GatherSumApplyIteration<K, VV, EV, M> withEdges(DataSet<Edge<K, EV>> edges, GatherFunction<VV, EV, M> gather, SumFunction<VV, EV, M> sum, ApplyFunction<K, VV, M> apply, int maximumNumberOfIterations) { return new GatherSumApplyIteration<>(gather, sum, apply, edges, maximumNumberOfIte...
java
public static <K, VV, EV, M> GatherSumApplyIteration<K, VV, EV, M> withEdges(DataSet<Edge<K, EV>> edges, GatherFunction<VV, EV, M> gather, SumFunction<VV, EV, M> sum, ApplyFunction<K, VV, M> apply, int maximumNumberOfIterations) { return new GatherSumApplyIteration<>(gather, sum, apply, edges, maximumNumberOfIte...
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Creates a new gather-sum-apply iteration operator for graphs. @param edges The edge DataSet @param gather The gather function of the GSA iteration @param sum The sum function of the GSA iteration @param apply The apply function of the GSA iteration @param maximumNumberOfIterations The maximum number of iterations ex...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,328
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/rank/TopNBuffer.java
TopNBuffer.put
public int put(BaseRow sortKey, BaseRow value) { currentTopNum += 1; // update treeMap Collection<BaseRow> collection = treeMap.get(sortKey); if (collection == null) { collection = valueSupplier.get(); treeMap.put(sortKey, collection); } collection.add(value); return collection.size(); }
java
public int put(BaseRow sortKey, BaseRow value) { currentTopNum += 1; // update treeMap Collection<BaseRow> collection = treeMap.get(sortKey); if (collection == null) { collection = valueSupplier.get(); treeMap.put(sortKey, collection); } collection.add(value); return collection.size(); }
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Appends a record into the buffer. @param sortKey sort key with which the specified value is to be associated @param value record which is to be appended @return the size of the collection under the sortKey.
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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/rank/TopNBuffer.java#L58-L68
124,329
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/rank/TopNBuffer.java
TopNBuffer.removeAll
void removeAll(BaseRow sortKey) { Collection<BaseRow> list = treeMap.get(sortKey); if (list != null) { currentTopNum -= list.size(); treeMap.remove(sortKey); } }
java
void removeAll(BaseRow sortKey) { Collection<BaseRow> list = treeMap.get(sortKey); if (list != null) { currentTopNum -= list.size(); treeMap.remove(sortKey); } }
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Removes all record list from the buffer under the sortKey. @param sortKey key to remove
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,330
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/rank/TopNBuffer.java
TopNBuffer.removeLast
BaseRow removeLast() { Map.Entry<BaseRow, Collection<BaseRow>> last = treeMap.lastEntry(); BaseRow lastElement = null; if (last != null) { Collection<BaseRow> list = last.getValue(); lastElement = getLastElement(list); if (lastElement != null) { if (list.remove(lastElement)) { currentTopNum -= 1...
java
BaseRow removeLast() { Map.Entry<BaseRow, Collection<BaseRow>> last = treeMap.lastEntry(); BaseRow lastElement = null; if (last != null) { Collection<BaseRow> list = last.getValue(); lastElement = getLastElement(list); if (lastElement != null) { if (list.remove(lastElement)) { currentTopNum -= 1...
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Removes the last record of the last Entry in the buffer. @return removed record
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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/rank/TopNBuffer.java#L122-L138
124,331
apache/flink
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/rank/TopNBuffer.java
TopNBuffer.getElement
BaseRow getElement(int rank) { int curRank = 0; Iterator<Map.Entry<BaseRow, Collection<BaseRow>>> iter = treeMap.entrySet().iterator(); while (iter.hasNext()) { Map.Entry<BaseRow, Collection<BaseRow>> entry = iter.next(); Collection<BaseRow> list = entry.getValue(); Iterator<BaseRow> listIter = list.ite...
java
BaseRow getElement(int rank) { int curRank = 0; Iterator<Map.Entry<BaseRow, Collection<BaseRow>>> iter = treeMap.entrySet().iterator(); while (iter.hasNext()) { Map.Entry<BaseRow, Collection<BaseRow>> entry = iter.next(); Collection<BaseRow> list = entry.getValue(); Iterator<BaseRow> listIter = list.ite...
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Gets record which rank is given value. @param rank rank value to search @return the record which rank is given value
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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/rank/TopNBuffer.java#L146-L163
124,332
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.partitionCustom
public <K> DataStream<T> partitionCustom(Partitioner<K> partitioner, int field) { Keys.ExpressionKeys<T> outExpressionKeys = new Keys.ExpressionKeys<>(new int[]{field}, getType()); return partitionCustom(partitioner, outExpressionKeys); }
java
public <K> DataStream<T> partitionCustom(Partitioner<K> partitioner, int field) { Keys.ExpressionKeys<T> outExpressionKeys = new Keys.ExpressionKeys<>(new int[]{field}, getType()); return partitionCustom(partitioner, outExpressionKeys); }
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Partitions a tuple DataStream on the specified key fields using a custom partitioner. This method takes the key position to partition on, and a partitioner that accepts the key type. <p>Note: This method works only on single field keys. @param partitioner The partitioner to assign partitions to keys. @param field The...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L355-L358
124,333
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.partitionCustom
public <K> DataStream<T> partitionCustom(Partitioner<K> partitioner, KeySelector<T, K> keySelector) { return setConnectionType(new CustomPartitionerWrapper<>(clean(partitioner), clean(keySelector))); }
java
public <K> DataStream<T> partitionCustom(Partitioner<K> partitioner, KeySelector<T, K> keySelector) { return setConnectionType(new CustomPartitionerWrapper<>(clean(partitioner), clean(keySelector))); }
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Partitions a DataStream on the key returned by the selector, using a custom partitioner. This method takes the key selector to get the key to partition on, and a partitioner that accepts the key type. <p>Note: This method works only on single field keys, i.e. the selector cannot return tuples of fields. @param partit...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L391-L394
124,334
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.partitionCustom
private <K> DataStream<T> partitionCustom(Partitioner<K> partitioner, Keys<T> keys) { KeySelector<T, K> keySelector = KeySelectorUtil.getSelectorForOneKey(keys, partitioner, getType(), getExecutionConfig()); return setConnectionType( new CustomPartitionerWrapper<>( clean(partitioner), clean(keySele...
java
private <K> DataStream<T> partitionCustom(Partitioner<K> partitioner, Keys<T> keys) { KeySelector<T, K> keySelector = KeySelectorUtil.getSelectorForOneKey(keys, partitioner, getType(), getExecutionConfig()); return setConnectionType( new CustomPartitionerWrapper<>( clean(partitioner), clean(keySele...
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private helper method for custom partitioning
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L397-L404
124,335
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.assignTimestamps
@Deprecated public SingleOutputStreamOperator<T> assignTimestamps(TimestampExtractor<T> extractor) { // match parallelism to input, otherwise dop=1 sources could lead to some strange // behaviour: the watermark will creep along very slowly because the elements // from the source go to each extraction operator ro...
java
@Deprecated public SingleOutputStreamOperator<T> assignTimestamps(TimestampExtractor<T> extractor) { // match parallelism to input, otherwise dop=1 sources could lead to some strange // behaviour: the watermark will creep along very slowly because the elements // from the source go to each extraction operator ro...
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Extracts a timestamp from an element and assigns it as the internal timestamp of that element. The internal timestamps are, for example, used to to event-time window operations. <p>If you know that the timestamps are strictly increasing you can use an {@link AscendingTimestampExtractor}. Otherwise, you should provide ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L841-L850
124,336
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.assignTimestampsAndWatermarks
public SingleOutputStreamOperator<T> assignTimestampsAndWatermarks( AssignerWithPeriodicWatermarks<T> timestampAndWatermarkAssigner) { // match parallelism to input, otherwise dop=1 sources could lead to some strange // behaviour: the watermark will creep along very slowly because the elements // from the sou...
java
public SingleOutputStreamOperator<T> assignTimestampsAndWatermarks( AssignerWithPeriodicWatermarks<T> timestampAndWatermarkAssigner) { // match parallelism to input, otherwise dop=1 sources could lead to some strange // behaviour: the watermark will creep along very slowly because the elements // from the sou...
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Assigns timestamps to the elements in the data stream and periodically creates watermarks to signal event time progress. <p>This method creates watermarks periodically (for example every second), based on the watermarks indicated by the given watermark generator. Even when no new elements in the stream arrive, the giv...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L883-L897
124,337
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.assignTimestampsAndWatermarks
public SingleOutputStreamOperator<T> assignTimestampsAndWatermarks( AssignerWithPunctuatedWatermarks<T> timestampAndWatermarkAssigner) { // match parallelism to input, otherwise dop=1 sources could lead to some strange // behaviour: the watermark will creep along very slowly because the elements // from the s...
java
public SingleOutputStreamOperator<T> assignTimestampsAndWatermarks( AssignerWithPunctuatedWatermarks<T> timestampAndWatermarkAssigner) { // match parallelism to input, otherwise dop=1 sources could lead to some strange // behaviour: the watermark will creep along very slowly because the elements // from the s...
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Assigns timestamps to the elements in the data stream and creates watermarks to signal event time progress based on the elements themselves. <p>This method creates watermarks based purely on stream elements. For each element that is handled via {@link AssignerWithPunctuatedWatermarks#extractTimestamp(Object, long)}, t...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L926-L940
124,338
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.writeAsCsv
@SuppressWarnings("unchecked") @PublicEvolving public <X extends Tuple> DataStreamSink<T> writeAsCsv( String path, WriteMode writeMode, String rowDelimiter, String fieldDelimiter) { Preconditions.checkArgument( getType().isTupleType(), "The writeAsCsv() method can only be used on data streams of t...
java
@SuppressWarnings("unchecked") @PublicEvolving public <X extends Tuple> DataStreamSink<T> writeAsCsv( String path, WriteMode writeMode, String rowDelimiter, String fieldDelimiter) { Preconditions.checkArgument( getType().isTupleType(), "The writeAsCsv() method can only be used on data streams of t...
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Writes a DataStream to the file specified by the path parameter. The writing is performed periodically every millis milliseconds. <p>For every field of an element of the DataStream the result of {@link Object#toString()} is written. This method can only be used on data streams of tuples. @param path the path pointing...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L1104-L1125
124,339
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.writeUsingOutputFormat
@PublicEvolving public DataStreamSink<T> writeUsingOutputFormat(OutputFormat<T> format) { return addSink(new OutputFormatSinkFunction<>(format)); }
java
@PublicEvolving public DataStreamSink<T> writeUsingOutputFormat(OutputFormat<T> format) { return addSink(new OutputFormatSinkFunction<>(format)); }
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Writes the dataStream into an output, described by an OutputFormat. <p>The output is not participating in Flink's checkpointing! <p>For writing to a file system periodically, the use of the "flink-connector-filesystem" is recommended. @param format The output format @return The closed DataStream
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L1157-L1160
124,340
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.transform
@PublicEvolving public <R> SingleOutputStreamOperator<R> transform(String operatorName, TypeInformation<R> outTypeInfo, OneInputStreamOperator<T, R> operator) { // read the output type of the input Transform to coax out errors about MissingTypeInfo transformation.getOutputType(); OneInputTransformation<T, R> r...
java
@PublicEvolving public <R> SingleOutputStreamOperator<R> transform(String operatorName, TypeInformation<R> outTypeInfo, OneInputStreamOperator<T, R> operator) { // read the output type of the input Transform to coax out errors about MissingTypeInfo transformation.getOutputType(); OneInputTransformation<T, R> r...
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Method for passing user defined operators along with the type information that will transform the DataStream. @param operatorName name of the operator, for logging purposes @param outTypeInfo the output type of the operator @param operator the object containing the transformation logic @param <R> type of the return st...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L1176-L1195
124,341
apache/flink
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
DataStream.setConnectionType
protected DataStream<T> setConnectionType(StreamPartitioner<T> partitioner) { return new DataStream<>(this.getExecutionEnvironment(), new PartitionTransformation<>(this.getTransformation(), partitioner)); }
java
protected DataStream<T> setConnectionType(StreamPartitioner<T> partitioner) { return new DataStream<>(this.getExecutionEnvironment(), new PartitionTransformation<>(this.getTransformation(), partitioner)); }
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Internal function for setting the partitioner for the DataStream. @param partitioner Partitioner to set. @return The modified DataStream.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L1204-L1206
124,342
apache/flink
flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples/statemachine/generator/EventsGenerator.java
EventsGenerator.next
public Event next(int minIp, int maxIp) { final double p = rnd.nextDouble(); if (p * 1000 >= states.size()) { // create a new state machine final int nextIP = rnd.nextInt(maxIp - minIp) + minIp; if (!states.containsKey(nextIP)) { EventTypeAndState eventAndState = State.Initial.randomTransition(rnd); ...
java
public Event next(int minIp, int maxIp) { final double p = rnd.nextDouble(); if (p * 1000 >= states.size()) { // create a new state machine final int nextIP = rnd.nextInt(maxIp - minIp) + minIp; if (!states.containsKey(nextIP)) { EventTypeAndState eventAndState = State.Initial.randomTransition(rnd); ...
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Creates a new random event. This method randomly pick either one of its currently running state machines, or start a new state machine for a random IP address. <p>With {@link #errorProb} probability, the generated event will be from an illegal state transition of one of the currently running state machines. @param mi...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples/statemachine/generator/EventsGenerator.java#L83-L133
124,343
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/util/Hardware.java
Hardware.getSizeOfPhysicalMemoryForWindows
private static long getSizeOfPhysicalMemoryForWindows() { BufferedReader bi = null; try { Process proc = Runtime.getRuntime().exec("wmic memorychip get capacity"); bi = new BufferedReader(new InputStreamReader(proc.getInputStream())); String line = bi.readLine(); if (line == null) { return -1L; ...
java
private static long getSizeOfPhysicalMemoryForWindows() { BufferedReader bi = null; try { Process proc = Runtime.getRuntime().exec("wmic memorychip get capacity"); bi = new BufferedReader(new InputStreamReader(proc.getInputStream())); String line = bi.readLine(); if (line == null) { return -1L; ...
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Returns the size of the physical memory in bytes on Windows. @return the size of the physical memory in bytes or {@code -1}, if the size could not be determined
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/util/Hardware.java#L228-L267
124,344
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.map
public <R> MapOperator<T, R> map(MapFunction<T, R> mapper) { if (mapper == null) { throw new NullPointerException("Map function must not be null."); } String callLocation = Utils.getCallLocationName(); TypeInformation<R> resultType = TypeExtractor.getMapReturnTypes(mapper, getType(), callLocation, true); ...
java
public <R> MapOperator<T, R> map(MapFunction<T, R> mapper) { if (mapper == null) { throw new NullPointerException("Map function must not be null."); } String callLocation = Utils.getCallLocationName(); TypeInformation<R> resultType = TypeExtractor.getMapReturnTypes(mapper, getType(), callLocation, true); ...
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Applies a Map transformation on this DataSet. <p>The transformation calls a {@link org.apache.flink.api.common.functions.MapFunction} for each element of the DataSet. Each MapFunction call returns exactly one element. @param mapper The MapFunction that is called for each element of the DataSet. @return A MapOperator ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L210-L218
124,345
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.mapPartition
public <R> MapPartitionOperator<T, R> mapPartition(MapPartitionFunction<T, R> mapPartition) { if (mapPartition == null) { throw new NullPointerException("MapPartition function must not be null."); } String callLocation = Utils.getCallLocationName(); TypeInformation<R> resultType = TypeExtractor.getMapPartit...
java
public <R> MapPartitionOperator<T, R> mapPartition(MapPartitionFunction<T, R> mapPartition) { if (mapPartition == null) { throw new NullPointerException("MapPartition function must not be null."); } String callLocation = Utils.getCallLocationName(); TypeInformation<R> resultType = TypeExtractor.getMapPartit...
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Applies a Map-style operation to the entire partition of the data. The function is called once per parallel partition of the data, and the entire partition is available through the given Iterator. The number of elements that each instance of the MapPartition function sees is non deterministic and depends on the paralle...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L237-L245
124,346
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.collect
public List<T> collect() throws Exception { final String id = new AbstractID().toString(); final TypeSerializer<T> serializer = getType().createSerializer(getExecutionEnvironment().getConfig()); this.output(new Utils.CollectHelper<>(id, serializer)).name("collect()"); JobExecutionResult res = getExecutionEnvir...
java
public List<T> collect() throws Exception { final String id = new AbstractID().toString(); final TypeSerializer<T> serializer = getType().createSerializer(getExecutionEnvironment().getConfig()); this.output(new Utils.CollectHelper<>(id, serializer)).name("collect()"); JobExecutionResult res = getExecutionEnvir...
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Convenience method to get the elements of a DataSet as a List. As DataSet can contain a lot of data, this method should be used with caution. @return A List containing the elements of the DataSet
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L408-L427
124,347
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.minBy
@SuppressWarnings({ "unchecked", "rawtypes" }) public ReduceOperator<T> minBy(int... fields) { if (!getType().isTupleType()) { throw new InvalidProgramException("DataSet#minBy(int...) only works on Tuple types."); } return new ReduceOperator<>(this, new SelectByMinFunction( (TupleTypeInfo) getType(), fie...
java
@SuppressWarnings({ "unchecked", "rawtypes" }) public ReduceOperator<T> minBy(int... fields) { if (!getType().isTupleType()) { throw new InvalidProgramException("DataSet#minBy(int...) only works on Tuple types."); } return new ReduceOperator<>(this, new SelectByMinFunction( (TupleTypeInfo) getType(), fie...
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Selects an element with minimum value. <p>The minimum is computed over the specified fields in lexicographical order. <p><strong>Example 1</strong>: Given a data set with elements <code>[0, 1], [1, 0]</code>, the results will be: <ul> <li><code>minBy(0)</code>: <code>[0, 1]</code></li> <li><code>minBy(1)</code>: <cod...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L522-L530
124,348
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.maxBy
@SuppressWarnings({ "unchecked", "rawtypes" }) public ReduceOperator<T> maxBy(int... fields) { if (!getType().isTupleType()) { throw new InvalidProgramException("DataSet#maxBy(int...) only works on Tuple types."); } return new ReduceOperator<>(this, new SelectByMaxFunction( (TupleTypeInfo) getType(), fiel...
java
@SuppressWarnings({ "unchecked", "rawtypes" }) public ReduceOperator<T> maxBy(int... fields) { if (!getType().isTupleType()) { throw new InvalidProgramException("DataSet#maxBy(int...) only works on Tuple types."); } return new ReduceOperator<>(this, new SelectByMaxFunction( (TupleTypeInfo) getType(), fiel...
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Selects an element with maximum value. <p>The maximum is computed over the specified fields in lexicographical order. <p><strong>Example 1</strong>: Given a data set with elements <code>[0, 1], [1, 0]</code>, the results will be: <ul> <li><code>maxBy(0)</code>: <code>[1, 0]</code></li> <li><code>maxBy(1)</code>: <cod...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L558-L566
124,349
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.coGroup
public <R> CoGroupOperator.CoGroupOperatorSets<T, R> coGroup(DataSet<R> other) { return new CoGroupOperator.CoGroupOperatorSets<>(this, other); }
java
public <R> CoGroupOperator.CoGroupOperatorSets<T, R> coGroup(DataSet<R> other) { return new CoGroupOperator.CoGroupOperatorSets<>(this, other); }
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Initiates a CoGroup transformation. <p>A CoGroup transformation combines the elements of two {@link DataSet DataSets} into one DataSet. It groups each DataSet individually on a key and gives groups of both DataSets with equal keys together into a {@link org.apache.flink.api.common.functions.RichCoGroupFunction}. If a ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1009-L1011
124,350
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.union
public UnionOperator<T> union(DataSet<T> other){ return new UnionOperator<>(this, other, Utils.getCallLocationName()); }
java
public UnionOperator<T> union(DataSet<T> other){ return new UnionOperator<>(this, other, Utils.getCallLocationName()); }
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Creates a union of this DataSet with an other DataSet. The other DataSet must be of the same data type. @param other The other DataSet which is unioned with the current DataSet. @return The resulting DataSet.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1241-L1243
124,351
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.partitionByHash
public PartitionOperator<T> partitionByHash(int... fields) { return new PartitionOperator<>(this, PartitionMethod.HASH, new Keys.ExpressionKeys<>(fields, getType()), Utils.getCallLocationName()); }
java
public PartitionOperator<T> partitionByHash(int... fields) { return new PartitionOperator<>(this, PartitionMethod.HASH, new Keys.ExpressionKeys<>(fields, getType()), Utils.getCallLocationName()); }
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Hash-partitions a DataSet on the specified key fields. <p><b>Important:</b>This operation shuffles the whole DataSet over the network and can take significant amount of time. @param fields The field indexes on which the DataSet is hash-partitioned. @return The partitioned DataSet.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1257-L1259
124,352
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.partitionByHash
public <K extends Comparable<K>> PartitionOperator<T> partitionByHash(KeySelector<T, K> keyExtractor) { final TypeInformation<K> keyType = TypeExtractor.getKeySelectorTypes(keyExtractor, getType()); return new PartitionOperator<>(this, PartitionMethod.HASH, new Keys.SelectorFunctionKeys<>(clean(keyExtractor), this....
java
public <K extends Comparable<K>> PartitionOperator<T> partitionByHash(KeySelector<T, K> keyExtractor) { final TypeInformation<K> keyType = TypeExtractor.getKeySelectorTypes(keyExtractor, getType()); return new PartitionOperator<>(this, PartitionMethod.HASH, new Keys.SelectorFunctionKeys<>(clean(keyExtractor), this....
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Partitions a DataSet using the specified KeySelector. <p><b>Important:</b>This operation shuffles the whole DataSet over the network and can take significant amount of time. @param keyExtractor The KeyExtractor with which the DataSet is hash-partitioned. @return The partitioned DataSet. @see KeySelector
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1283-L1286
124,353
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.partitionByRange
public PartitionOperator<T> partitionByRange(int... fields) { return new PartitionOperator<>(this, PartitionMethod.RANGE, new Keys.ExpressionKeys<>(fields, getType()), Utils.getCallLocationName()); }
java
public PartitionOperator<T> partitionByRange(int... fields) { return new PartitionOperator<>(this, PartitionMethod.RANGE, new Keys.ExpressionKeys<>(fields, getType()), Utils.getCallLocationName()); }
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Range-partitions a DataSet on the specified key fields. <p><b>Important:</b>This operation requires an extra pass over the DataSet to compute the range boundaries and shuffles the whole DataSet over the network. This can take significant amount of time. @param fields The field indexes on which the DataSet is range-pa...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1297-L1299
124,354
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.partitionCustom
public <K> PartitionOperator<T> partitionCustom(Partitioner<K> partitioner, int field) { return new PartitionOperator<>(this, new Keys.ExpressionKeys<>(new int[] {field}, getType()), clean(partitioner), Utils.getCallLocationName()); }
java
public <K> PartitionOperator<T> partitionCustom(Partitioner<K> partitioner, int field) { return new PartitionOperator<>(this, new Keys.ExpressionKeys<>(new int[] {field}, getType()), clean(partitioner), Utils.getCallLocationName()); }
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Partitions a tuple DataSet on the specified key fields using a custom partitioner. This method takes the key position to partition on, and a partitioner that accepts the key type. <p>Note: This method works only on single field keys. @param partitioner The partitioner to assign partitions to keys. @param field The fi...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1340-L1342
124,355
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.partitionCustom
public <K extends Comparable<K>> PartitionOperator<T> partitionCustom(Partitioner<K> partitioner, KeySelector<T, K> keyExtractor) { final TypeInformation<K> keyType = TypeExtractor.getKeySelectorTypes(keyExtractor, getType()); return new PartitionOperator<>(this, new Keys.SelectorFunctionKeys<>(keyExtractor, getTyp...
java
public <K extends Comparable<K>> PartitionOperator<T> partitionCustom(Partitioner<K> partitioner, KeySelector<T, K> keyExtractor) { final TypeInformation<K> keyType = TypeExtractor.getKeySelectorTypes(keyExtractor, getType()); return new PartitionOperator<>(this, new Keys.SelectorFunctionKeys<>(keyExtractor, getTyp...
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Partitions a DataSet on the key returned by the selector, using a custom partitioner. This method takes the key selector to get the key to partition on, and a partitioner that accepts the key type. <p>Note: This method works only on single field keys, i.e. the selector cannot return tuples of fields. @param partition...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,356
apache/flink
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
DataSet.sortPartition
public <K> SortPartitionOperator<T> sortPartition(KeySelector<T, K> keyExtractor, Order order) { final TypeInformation<K> keyType = TypeExtractor.getKeySelectorTypes(keyExtractor, getType()); return new SortPartitionOperator<>(this, new Keys.SelectorFunctionKeys<>(clean(keyExtractor), getType(), keyType), order, Ut...
java
public <K> SortPartitionOperator<T> sortPartition(KeySelector<T, K> keyExtractor, Order order) { final TypeInformation<K> keyType = TypeExtractor.getKeySelectorTypes(keyExtractor, getType()); return new SortPartitionOperator<>(this, new Keys.SelectorFunctionKeys<>(clean(keyExtractor), getType(), keyType), order, Ut...
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Locally sorts the partitions of the DataSet on the extracted key in the specified order. The DataSet can be sorted on multiple values by returning a tuple from the KeySelector. <p>Note that no additional sort keys can be appended to a KeySelector sort keys. To sort the partitions by multiple values using KeySelector, ...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1430-L1433
124,357
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java
StateDescriptor.getDefaultValue
public T getDefaultValue() { if (defaultValue != null) { if (serializer != null) { return serializer.copy(defaultValue); } else { throw new IllegalStateException("Serializer not yet initialized."); } } else { return null; } }
java
public T getDefaultValue() { if (defaultValue != null) { if (serializer != null) { return serializer.copy(defaultValue); } else { throw new IllegalStateException("Serializer not yet initialized."); } } else { return null; } }
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Returns the default value.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java#L176-L186
124,358
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java
StateDescriptor.setQueryable
public void setQueryable(String queryableStateName) { Preconditions.checkArgument( ttlConfig.getUpdateType() == StateTtlConfig.UpdateType.Disabled, "Queryable state is currently not supported with TTL"); if (this.queryableStateName == null) { this.queryableStateName = Preconditions.checkNotNull(queryableSt...
java
public void setQueryable(String queryableStateName) { Preconditions.checkArgument( ttlConfig.getUpdateType() == StateTtlConfig.UpdateType.Disabled, "Queryable state is currently not supported with TTL"); if (this.queryableStateName == null) { this.queryableStateName = Preconditions.checkNotNull(queryableSt...
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Sets the name for queries of state created from this descriptor. <p>If a name is set, the created state will be published for queries during runtime. The name needs to be unique per job. If there is another state instance published under the same name, the job will fail during runtime. @param queryableStateName State...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java#L211-L220
124,359
apache/flink
flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java
StateDescriptor.initializeSerializerUnlessSet
public void initializeSerializerUnlessSet(ExecutionConfig executionConfig) { if (serializer == null) { checkState(typeInfo != null, "no serializer and no type info"); // instantiate the serializer serializer = typeInfo.createSerializer(executionConfig); // we can drop the type info now, no longer needed...
java
public void initializeSerializerUnlessSet(ExecutionConfig executionConfig) { if (serializer == null) { checkState(typeInfo != null, "no serializer and no type info"); // instantiate the serializer serializer = typeInfo.createSerializer(executionConfig); // we can drop the type info now, no longer needed...
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Initializes the serializer, unless it has been initialized before. @param executionConfig The execution config to use when creating the serializer.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,360
apache/flink
flink-connectors/flink-jdbc/src/main/java/org/apache/flink/api/java/io/jdbc/JDBCInputFormat.java
JDBCInputFormat.nextRecord
@Override public Row nextRecord(Row row) throws IOException { try { if (!hasNext) { return null; } for (int pos = 0; pos < row.getArity(); pos++) { row.setField(pos, resultSet.getObject(pos + 1)); } //update hasNext after we've read the record hasNext = resultSet.next(); return row; } ...
java
@Override public Row nextRecord(Row row) throws IOException { try { if (!hasNext) { return null; } for (int pos = 0; pos < row.getArity(); pos++) { row.setField(pos, resultSet.getObject(pos + 1)); } //update hasNext after we've read the record hasNext = resultSet.next(); return row; } ...
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Stores the next resultSet row in a tuple. @param row row to be reused. @return row containing next {@link Row} @throws java.io.IOException
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,361
apache/flink
flink-table/flink-table-api-java/src/main/java/org/apache/flink/table/catalog/GenericInMemoryCatalog.java
GenericInMemoryCatalog.validatePartitionSpec
private CatalogTable validatePartitionSpec(ObjectPath tablePath, CatalogPartitionSpec partitionSpec) throws TableNotExistException, TableNotPartitionedException, PartitionSpecInvalidException { CatalogTable table = validatePartitionedTable(tablePath); List<String> partitionKeys = table.getPartitionKeys(); Map...
java
private CatalogTable validatePartitionSpec(ObjectPath tablePath, CatalogPartitionSpec partitionSpec) throws TableNotExistException, TableNotPartitionedException, PartitionSpecInvalidException { CatalogTable table = validatePartitionedTable(tablePath); List<String> partitionKeys = table.getPartitionKeys(); Map...
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Validate the partitioned table and partitionSpec.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-api-java/src/main/java/org/apache/flink/table/catalog/GenericInMemoryCatalog.java#L465-L488
124,362
apache/flink
flink-table/flink-table-api-java/src/main/java/org/apache/flink/table/catalog/GenericInMemoryCatalog.java
GenericInMemoryCatalog.validatePartitionedTable
private CatalogTable validatePartitionedTable(ObjectPath tablePath) throws TableNotExistException, TableNotPartitionedException { CatalogBaseTable baseTable = getTable(tablePath); if (!(baseTable instanceof CatalogTable)) { throw new CatalogException( String.format("%s in Catalog %s is not a CatalogTable...
java
private CatalogTable validatePartitionedTable(ObjectPath tablePath) throws TableNotExistException, TableNotPartitionedException { CatalogBaseTable baseTable = getTable(tablePath); if (!(baseTable instanceof CatalogTable)) { throw new CatalogException( String.format("%s in Catalog %s is not a CatalogTable...
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Validate the partitioned table.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-api-java/src/main/java/org/apache/flink/table/catalog/GenericInMemoryCatalog.java#L493-L510
124,363
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/ResultSubpartition.java
ResultSubpartition.increaseBuffersInBacklog
protected void increaseBuffersInBacklog(BufferConsumer buffer) { assert Thread.holdsLock(buffers); if (buffer != null && buffer.isBuffer()) { buffersInBacklog++; } }
java
protected void increaseBuffersInBacklog(BufferConsumer buffer) { assert Thread.holdsLock(buffers); if (buffer != null && buffer.isBuffer()) { buffersInBacklog++; } }
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Increases the number of non-event buffers by one after adding a non-event buffer into this subpartition.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,364
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.lookupSelectHints
void lookupSelectHints( SqlSelect select, SqlParserPos pos, Collection<SqlMoniker> hintList) { IdInfo info = idPositions.get(pos.toString()); if ((info == null) || (info.scope == null)) { SqlNode fromNode = select.getFrom(); final SqlValidatorScope fromScope = getFromScope(select); lookupFromHints(fr...
java
void lookupSelectHints( SqlSelect select, SqlParserPos pos, Collection<SqlMoniker> hintList) { IdInfo info = idPositions.get(pos.toString()); if ((info == null) || (info.scope == null)) { SqlNode fromNode = select.getFrom(); final SqlValidatorScope fromScope = getFromScope(select); lookupFromHints(fr...
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Looks up completion hints for a syntactically correct select SQL that has been parsed into an expression tree. @param select the Select node of the parsed expression tree @param pos indicates the position in the sql statement we want to get completion hints for @param hintList list of {@link SqlMoniker} (sql id...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L686-L699
124,365
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.lookupNameCompletionHints
public final void lookupNameCompletionHints( SqlValidatorScope scope, List<String> names, SqlParserPos pos, Collection<SqlMoniker> hintList) { // Remove the last part of name - it is a dummy List<String> subNames = Util.skipLast(names); if (subNames.size() > 0) { // If there's a prefix, resolve it to ...
java
public final void lookupNameCompletionHints( SqlValidatorScope scope, List<String> names, SqlParserPos pos, Collection<SqlMoniker> hintList) { // Remove the last part of name - it is a dummy List<String> subNames = Util.skipLast(names); if (subNames.size() > 0) { // If there's a prefix, resolve it to ...
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Populates a list of all the valid alternatives for an identifier. @param scope Validation scope @param names Components of the identifier @param pos position @param hintList a list of valid options
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L789-L853
124,366
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateNamespace
protected void validateNamespace(final SqlValidatorNamespace namespace, RelDataType targetRowType) { namespace.validate(targetRowType); if (namespace.getNode() != null) { setValidatedNodeType(namespace.getNode(), namespace.getType()); } }
java
protected void validateNamespace(final SqlValidatorNamespace namespace, RelDataType targetRowType) { namespace.validate(targetRowType); if (namespace.getNode() != null) { setValidatedNodeType(namespace.getNode(), namespace.getType()); } }
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Validates a namespace. @param namespace Namespace @param targetRowType Desired row type, must not be null, may be the data type 'unknown'.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L980-L986
124,367
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.createSourceSelectForUpdate
protected SqlSelect createSourceSelectForUpdate(SqlUpdate call) { final SqlNodeList selectList = new SqlNodeList(SqlParserPos.ZERO); selectList.add(SqlIdentifier.star(SqlParserPos.ZERO)); int ordinal = 0; for (SqlNode exp : call.getSourceExpressionList()) { // Force unique aliases to avoid a duplicate for Y ...
java
protected SqlSelect createSourceSelectForUpdate(SqlUpdate call) { final SqlNodeList selectList = new SqlNodeList(SqlParserPos.ZERO); selectList.add(SqlIdentifier.star(SqlParserPos.ZERO)); int ordinal = 0; for (SqlNode exp : call.getSourceExpressionList()) { // Force unique aliases to avoid a duplicate for Y ...
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Creates the SELECT statement that putatively feeds rows into an UPDATE statement to be updated. @param call Call to the UPDATE operator @return select statement
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L1484-L1504
124,368
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.createSourceSelectForDelete
protected SqlSelect createSourceSelectForDelete(SqlDelete call) { final SqlNodeList selectList = new SqlNodeList(SqlParserPos.ZERO); selectList.add(SqlIdentifier.star(SqlParserPos.ZERO)); SqlNode sourceTable = call.getTargetTable(); if (call.getAlias() != null) { sourceTable = SqlValidatorUtil.addAlias( ...
java
protected SqlSelect createSourceSelectForDelete(SqlDelete call) { final SqlNodeList selectList = new SqlNodeList(SqlParserPos.ZERO); selectList.add(SqlIdentifier.star(SqlParserPos.ZERO)); SqlNode sourceTable = call.getTargetTable(); if (call.getAlias() != null) { sourceTable = SqlValidatorUtil.addAlias( ...
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Creates the SELECT statement that putatively feeds rows into a DELETE statement to be deleted. @param call Call to the DELETE operator @return select statement
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L1513-L1525
124,369
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.getTableConstructorRowType
RelDataType getTableConstructorRowType( SqlCall values, SqlValidatorScope scope) { final List<SqlNode> rows = values.getOperandList(); assert rows.size() >= 1; final List<RelDataType> rowTypes = new ArrayList<>(); for (final SqlNode row : rows) { assert row.getKind() == SqlKind.ROW; SqlCall rowConstru...
java
RelDataType getTableConstructorRowType( SqlCall values, SqlValidatorScope scope) { final List<SqlNode> rows = values.getOperandList(); assert rows.size() >= 1; final List<RelDataType> rowTypes = new ArrayList<>(); for (final SqlNode row : rows) { assert row.getKind() == SqlKind.ROW; SqlCall rowConstru...
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Returns null if there is no common type. E.g. if the rows have a different number of columns.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L1531-L1559
124,370
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.deriveTypeImpl
RelDataType deriveTypeImpl( SqlValidatorScope scope, SqlNode operand) { DeriveTypeVisitor v = new DeriveTypeVisitor(scope); final RelDataType type = operand.accept(v); return Objects.requireNonNull(scope.nullifyType(operand, type)); }
java
RelDataType deriveTypeImpl( SqlValidatorScope scope, SqlNode operand) { DeriveTypeVisitor v = new DeriveTypeVisitor(scope); final RelDataType type = operand.accept(v); return Objects.requireNonNull(scope.nullifyType(operand, type)); }
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Derives the type of a node, never null.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L1640-L1646
124,371
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.addToSelectList
protected void addToSelectList( List<SqlNode> list, Set<String> aliases, List<Map.Entry<String, RelDataType>> fieldList, SqlNode exp, SqlValidatorScope scope, final boolean includeSystemVars) { String alias = SqlValidatorUtil.getAlias(exp, -1); String uniqueAlias = SqlValidatorUtil.uniquify( alia...
java
protected void addToSelectList( List<SqlNode> list, Set<String> aliases, List<Map.Entry<String, RelDataType>> fieldList, SqlNode exp, SqlValidatorScope scope, final boolean includeSystemVars) { String alias = SqlValidatorUtil.getAlias(exp, -1); String uniqueAlias = SqlValidatorUtil.uniquify( alia...
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Adds an expression to a select list, ensuring that its alias does not clash with any existing expressions on the list.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L1836-L1852
124,372
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.registerNamespace
protected void registerNamespace( SqlValidatorScope usingScope, String alias, SqlValidatorNamespace ns, boolean forceNullable) { namespaces.put(ns.getNode(), ns); if (usingScope != null) { usingScope.addChild(ns, alias, forceNullable); } }
java
protected void registerNamespace( SqlValidatorScope usingScope, String alias, SqlValidatorNamespace ns, boolean forceNullable) { namespaces.put(ns.getNode(), ns); if (usingScope != null) { usingScope.addChild(ns, alias, forceNullable); } }
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Registers a new namespace, and adds it as a child of its parent scope. Derived class can override this method to tinker with namespaces as they are created. @param usingScope Parent scope (which will want to look for things in this namespace) @param alias Alias by which parent will refer to this namespace @...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L1939-L1948
124,373
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.getAgg
private SqlNode getAgg(SqlSelect select) { final SelectScope selectScope = getRawSelectScope(select); if (selectScope != null) { final List<SqlNode> selectList = selectScope.getExpandedSelectList(); if (selectList != null) { return aggFinder.findAgg(selectList); } } return aggFinder.findAgg(select....
java
private SqlNode getAgg(SqlSelect select) { final SelectScope selectScope = getRawSelectScope(select); if (selectScope != null) { final List<SqlNode> selectList = selectScope.getExpandedSelectList(); if (selectList != null) { return aggFinder.findAgg(selectList); } } return aggFinder.findAgg(select....
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If there is at least one call to an aggregate function, returns the first.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L2789-L2798
124,374
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.registerOperandSubQueries
private void registerOperandSubQueries( SqlValidatorScope parentScope, SqlCall call, int operandOrdinal) { SqlNode operand = call.operand(operandOrdinal); if (operand == null) { return; } if (operand.getKind().belongsTo(SqlKind.QUERY) && call.getOperator().argumentMustBeScalar(operandOrdinal)) { ...
java
private void registerOperandSubQueries( SqlValidatorScope parentScope, SqlCall call, int operandOrdinal) { SqlNode operand = call.operand(operandOrdinal); if (operand == null) { return; } if (operand.getKind().belongsTo(SqlKind.QUERY) && call.getOperator().argumentMustBeScalar(operandOrdinal)) { ...
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Registers any sub-queries inside a given call operand, and converts the operand to a scalar sub-query if the operator requires it. @param parentScope Parent scope @param call Call @param operandOrdinal Ordinal of operand within call @see SqlOperator#argumentMustBeScalar(int)
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L2856-L2873
124,375
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateNoAggs
private void validateNoAggs(AggFinder aggFinder, SqlNode node, String clause) { final SqlCall agg = aggFinder.findAgg(node); if (agg == null) { return; } final SqlOperator op = agg.getOperator(); if (op == SqlStdOperatorTable.OVER) { throw newValidationError(agg, RESOURCE.windowedAggregateIllegalI...
java
private void validateNoAggs(AggFinder aggFinder, SqlNode node, String clause) { final SqlCall agg = aggFinder.findAgg(node); if (agg == null) { return; } final SqlOperator op = agg.getOperator(); if (op == SqlStdOperatorTable.OVER) { throw newValidationError(agg, RESOURCE.windowedAggregateIllegalI...
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Throws an error if there is an aggregate or windowed aggregate in the given clause. @param aggFinder Finder for the particular kind(s) of aggregate function @param node Parse tree @param clause Name of clause: "WHERE", "GROUP BY", "ON"
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3208-L3225
124,376
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateSelect
protected void validateSelect( SqlSelect select, RelDataType targetRowType) { assert targetRowType != null; // Namespace is either a select namespace or a wrapper around one. final SelectNamespace ns = getNamespace(select).unwrap(SelectNamespace.class); // Its rowtype is null, meaning it hasn't been val...
java
protected void validateSelect( SqlSelect select, RelDataType targetRowType) { assert targetRowType != null; // Namespace is either a select namespace or a wrapper around one. final SelectNamespace ns = getNamespace(select).unwrap(SelectNamespace.class); // Its rowtype is null, meaning it hasn't been val...
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Validates a SELECT statement. @param select Select statement @param targetRowType Desired row type, must not be null, may be the data type 'unknown'.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3252-L3336
124,377
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.isRolledUpColumnAllowedInAgg
private boolean isRolledUpColumnAllowedInAgg(SqlIdentifier identifier, SqlValidatorScope scope, SqlCall aggCall, SqlNode parent) { Pair<String, String> pair = findTableColumnPair(identifier, scope); if (pair == null) { return true; } String tableAlias = pair.left; String columnName = pair.right; Tab...
java
private boolean isRolledUpColumnAllowedInAgg(SqlIdentifier identifier, SqlValidatorScope scope, SqlCall aggCall, SqlNode parent) { Pair<String, String> pair = findTableColumnPair(identifier, scope); if (pair == null) { return true; } String tableAlias = pair.left; String columnName = pair.right; Tab...
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Returns true iff the given column is valid inside the given aggCall.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3456-L3473
124,378
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.isRolledUpColumn
private boolean isRolledUpColumn(SqlIdentifier identifier, SqlValidatorScope scope) { Pair<String, String> pair = findTableColumnPair(identifier, scope); if (pair == null) { return false; } String tableAlias = pair.left; String columnName = pair.right; Table table = findTable(tableAlias); if (table ...
java
private boolean isRolledUpColumn(SqlIdentifier identifier, SqlValidatorScope scope) { Pair<String, String> pair = findTableColumnPair(identifier, scope); if (pair == null) { return false; } String tableAlias = pair.left; String columnName = pair.right; Table table = findTable(tableAlias); if (table ...
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Returns true iff the given column is actually rolled up.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3477-L3492
124,379
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateModality
private void validateModality(SqlNode query) { final SqlModality modality = deduceModality(query); if (query instanceof SqlSelect) { final SqlSelect select = (SqlSelect) query; validateModality(select, modality, true); } else if (query.getKind() == SqlKind.VALUES) { switch (modality) { case STREAM: ...
java
private void validateModality(SqlNode query) { final SqlModality modality = deduceModality(query); if (query instanceof SqlSelect) { final SqlSelect select = (SqlSelect) query; validateModality(select, modality, true); } else if (query.getKind() == SqlKind.VALUES) { switch (modality) { case STREAM: ...
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Validates that a query can deliver the modality it promises. Only called on the top-most SELECT or set operator in the tree.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3550-L3571
124,380
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.deduceModality
private SqlModality deduceModality(SqlNode query) { if (query instanceof SqlSelect) { SqlSelect select = (SqlSelect) query; return select.getModifierNode(SqlSelectKeyword.STREAM) != null ? SqlModality.STREAM : SqlModality.RELATION; } else if (query.getKind() == SqlKind.VALUES) { return SqlModality....
java
private SqlModality deduceModality(SqlNode query) { if (query instanceof SqlSelect) { SqlSelect select = (SqlSelect) query; return select.getModifierNode(SqlSelectKeyword.STREAM) != null ? SqlModality.STREAM : SqlModality.RELATION; } else if (query.getKind() == SqlKind.VALUES) { return SqlModality....
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Return the intended modality of a SELECT or set-op.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3574-L3587
124,381
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.hasSortedPrefix
private boolean hasSortedPrefix(SelectScope scope, SqlNodeList orderList) { return isSortCompatible(scope, orderList.get(0), false); }
java
private boolean hasSortedPrefix(SelectScope scope, SqlNodeList orderList) { return isSortCompatible(scope, orderList.get(0), false); }
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Returns whether the prefix is sorted.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3675-L3677
124,382
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateOrderList
protected void validateOrderList(SqlSelect select) { // ORDER BY is validated in a scope where aliases in the SELECT clause // are visible. For example, "SELECT empno AS x FROM emp ORDER BY x" // is valid. SqlNodeList orderList = select.getOrderList(); if (orderList == null) { return; } if (!shouldAllo...
java
protected void validateOrderList(SqlSelect select) { // ORDER BY is validated in a scope where aliases in the SELECT clause // are visible. For example, "SELECT empno AS x FROM emp ORDER BY x" // is valid. SqlNodeList orderList = select.getOrderList(); if (orderList == null) { return; } if (!shouldAllo...
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Validates the ORDER BY clause of a SELECT statement. @param select Select statement
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3812-L3842
124,383
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateGroupByItem
private void validateGroupByItem(SqlSelect select, SqlNode groupByItem) { final SqlValidatorScope groupByScope = getGroupScope(select); groupByScope.validateExpr(groupByItem); }
java
private void validateGroupByItem(SqlSelect select, SqlNode groupByItem) { final SqlValidatorScope groupByScope = getGroupScope(select); groupByScope.validateExpr(groupByItem); }
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Validates an item in the GROUP BY clause of a SELECT statement. @param select Select statement @param groupByItem GROUP BY clause item
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,384
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateOrderItem
private void validateOrderItem(SqlSelect select, SqlNode orderItem) { switch (orderItem.getKind()) { case DESCENDING: validateFeature(RESOURCE.sQLConformance_OrderByDesc(), orderItem.getParserPosition()); validateOrderItem(select, ((SqlCall) orderItem).operand(0)); return; } final SqlVal...
java
private void validateOrderItem(SqlSelect select, SqlNode orderItem) { switch (orderItem.getKind()) { case DESCENDING: validateFeature(RESOURCE.sQLConformance_OrderByDesc(), orderItem.getParserPosition()); validateOrderItem(select, ((SqlCall) orderItem).operand(0)); return; } final SqlVal...
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Validates an item in the ORDER BY clause of a SELECT statement. @param select Select statement @param orderItem ORDER BY clause item
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L3861-L3873
124,385
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateGroupClause
protected void validateGroupClause(SqlSelect select) { SqlNodeList groupList = select.getGroup(); if (groupList == null) { return; } final String clause = "GROUP BY"; validateNoAggs(aggOrOverFinder, groupList, clause); final SqlValidatorScope groupScope = getGroupScope(select); inferUnknownTypes(unknow...
java
protected void validateGroupClause(SqlSelect select) { SqlNodeList groupList = select.getGroup(); if (groupList == null) { return; } final String clause = "GROUP BY"; validateNoAggs(aggOrOverFinder, groupList, clause); final SqlValidatorScope groupScope = getGroupScope(select); inferUnknownTypes(unknow...
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Validates the GROUP BY clause of a SELECT statement. This method is called even if no GROUP BY clause is present.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,386
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.handleScalarSubQuery
private void handleScalarSubQuery( SqlSelect parentSelect, SqlSelect selectItem, List<SqlNode> expandedSelectItems, Set<String> aliasList, List<Map.Entry<String, RelDataType>> fieldList) { // A scalar sub-query only has one output column. if (1 != selectItem.getSelectList().size()) { throw newValidatio...
java
private void handleScalarSubQuery( SqlSelect parentSelect, SqlSelect selectItem, List<SqlNode> expandedSelectItems, Set<String> aliasList, List<Map.Entry<String, RelDataType>> fieldList) { // A scalar sub-query only has one output column. if (1 != selectItem.getSelectList().size()) { throw newValidatio...
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Processes SubQuery found in Select list. Checks that is actually Scalar sub-query and makes proper entries in each of the 3 lists used to create the final rowType entry. @param parentSelect base SqlSelect item @param selectItem child SqlSelect from select list @param expandedSelectItems Select items af...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,387
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.createTargetRowType
protected RelDataType createTargetRowType( SqlValidatorTable table, SqlNodeList targetColumnList, boolean append) { RelDataType baseRowType = table.getRowType(); if (targetColumnList == null) { return baseRowType; } List<RelDataTypeField> targetFields = baseRowType.getFieldList(); final List<Map.Entr...
java
protected RelDataType createTargetRowType( SqlValidatorTable table, SqlNodeList targetColumnList, boolean append) { RelDataType baseRowType = table.getRowType(); if (targetColumnList == null) { return baseRowType; } List<RelDataTypeField> targetFields = baseRowType.getFieldList(); final List<Map.Entr...
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Derives a row-type for INSERT and UPDATE operations. @param table Target table for INSERT/UPDATE @param targetColumnList List of target columns, or null if not specified @param append Whether to append fields to those in <code> baseRowType</code> @return Rowtype
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L4175-L4211
124,388
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.checkConstraint
private void checkConstraint( SqlValidatorTable validatorTable, SqlNode source, RelDataType targetRowType) { final ModifiableViewTable modifiableViewTable = validatorTable.unwrap(ModifiableViewTable.class); if (modifiableViewTable != null && source instanceof SqlCall) { final Table table = modifiableVie...
java
private void checkConstraint( SqlValidatorTable validatorTable, SqlNode source, RelDataType targetRowType) { final ModifiableViewTable modifiableViewTable = validatorTable.unwrap(ModifiableViewTable.class); if (modifiableViewTable != null && source instanceof SqlCall) { final Table table = modifiableVie...
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Validates insert values against the constraint of a modifiable view. @param validatorTable Table that may wrap a ModifiableViewTable @param source The values being inserted @param targetRowType The target type for the view
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,389
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.checkConstraint
private void checkConstraint( SqlValidatorTable validatorTable, SqlUpdate update, RelDataType targetRowType) { final ModifiableViewTable modifiableViewTable = validatorTable.unwrap(ModifiableViewTable.class); if (modifiableViewTable != null) { final Table table = modifiableViewTable.unwrap(Table.class);...
java
private void checkConstraint( SqlValidatorTable validatorTable, SqlUpdate update, RelDataType targetRowType) { final ModifiableViewTable modifiableViewTable = validatorTable.unwrap(ModifiableViewTable.class); if (modifiableViewTable != null) { final Table table = modifiableViewTable.unwrap(Table.class);...
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Validates updates against the constraint of a modifiable view. @param validatorTable A {@link SqlValidatorTable} that may wrap a ModifiableViewTable @param update The UPDATE parse tree node @param targetRowType The target type
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,390
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.getNthExpr
private SqlNode getNthExpr(SqlNode query, int ordinal, int sourceCount) { if (query instanceof SqlInsert) { SqlInsert insert = (SqlInsert) query; if (insert.getTargetColumnList() != null) { return insert.getTargetColumnList().get(ordinal); } else { return getNthExpr( insert.getSource(), ord...
java
private SqlNode getNthExpr(SqlNode query, int ordinal, int sourceCount) { if (query instanceof SqlInsert) { SqlInsert insert = (SqlInsert) query; if (insert.getTargetColumnList() != null) { return insert.getTargetColumnList().get(ordinal); } else { return getNthExpr( insert.getSource(), ord...
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Locates the n'th expression in an INSERT or UPDATE query. @param query Query @param ordinal Ordinal of expression @param sourceCount Number of expressions @return Ordinal'th expression, never null
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L4511-L4544
124,391
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateAccess
private void validateAccess( SqlNode node, SqlValidatorTable table, SqlAccessEnum requiredAccess) { if (table != null) { SqlAccessType access = table.getAllowedAccess(); if (!access.allowsAccess(requiredAccess)) { throw newValidationError(node, RESOURCE.accessNotAllowed(requiredAccess.name(), ...
java
private void validateAccess( SqlNode node, SqlValidatorTable table, SqlAccessEnum requiredAccess) { if (table != null) { SqlAccessType access = table.getAllowedAccess(); if (!access.allowsAccess(requiredAccess)) { throw newValidationError(node, RESOURCE.accessNotAllowed(requiredAccess.name(), ...
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Validates access to a table. @param table Table @param requiredAccess Access requested on table
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L4635-L4647
124,392
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.validateValues
protected void validateValues( SqlCall node, RelDataType targetRowType, final SqlValidatorScope scope) { assert node.getKind() == SqlKind.VALUES; final List<SqlNode> operands = node.getOperandList(); for (SqlNode operand : operands) { if (!(operand.getKind() == SqlKind.ROW)) { throw Util.needToImple...
java
protected void validateValues( SqlCall node, RelDataType targetRowType, final SqlValidatorScope scope) { assert node.getKind() == SqlKind.VALUES; final List<SqlNode> operands = node.getOperandList(); for (SqlNode operand : operands) { if (!(operand.getKind() == SqlKind.ROW)) { throw Util.needToImple...
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Validates a VALUES clause. @param node Values clause @param targetRowType Row type which expression must conform to @param scope Scope within which clause occurs
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L4656-L4745
124,393
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
SqlValidatorImpl.alias
private static String alias(SqlNode item) { assert item instanceof SqlCall; assert item.getKind() == SqlKind.AS; final SqlIdentifier identifier = ((SqlCall) item).operand(1); return identifier.getSimple(); }
java
private static String alias(SqlNode item) { assert item instanceof SqlCall; assert item.getKind() == SqlKind.AS; final SqlIdentifier identifier = ((SqlCall) item).operand(1); return identifier.getSimple(); }
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Returns the alias of a "expr AS alias" expression.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,394
apache/flink
flink-core/src/main/java/org/apache/flink/core/fs/EntropyInjector.java
EntropyInjector.createEntropyAware
public static OutputStreamAndPath createEntropyAware( FileSystem fs, Path path, WriteMode writeMode) throws IOException { // check and possibly inject entropy into the path final EntropyInjectingFileSystem efs = getEntropyFs(fs); final Path processedPath = efs == null ? path : resolveEntropy(path, efs, ...
java
public static OutputStreamAndPath createEntropyAware( FileSystem fs, Path path, WriteMode writeMode) throws IOException { // check and possibly inject entropy into the path final EntropyInjectingFileSystem efs = getEntropyFs(fs); final Path processedPath = efs == null ? path : resolveEntropy(path, efs, ...
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Handles entropy injection across regular and entropy-aware file systems. <p>If the given file system is entropy-aware (a implements {@link EntropyInjectingFileSystem}), then this method replaces the entropy marker in the path with random characters. The entropy marker is defined by {@link EntropyInjectingFileSystem#ge...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,395
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/state/filesystem/FsStateBackend.java
FsStateBackend.configure
@Override public FsStateBackend configure(Configuration config, ClassLoader classLoader) { return new FsStateBackend(this, config, classLoader); }
java
@Override public FsStateBackend configure(Configuration config, ClassLoader classLoader) { return new FsStateBackend(this, config, classLoader); }
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Creates a copy of this state backend that uses the values defined in the configuration for fields where that were not specified in this state backend. @param config the configuration @return The re-configured variant of the state backend
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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124,396
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/expressions/ExpressionResolver.java
ExpressionResolver.getResolverRules
public static List<ResolverRule> getResolverRules() { return Arrays.asList( ResolverRules.LOOKUP_CALL_BY_NAME, ResolverRules.FLATTEN_STAR_REFERENCE, ResolverRules.EXPAND_COLUMN_FUNCTIONS, ResolverRules.OVER_WINDOWS, ResolverRules.FIELD_RESOLVE, ResolverRules.FLATTEN_CALL, ResolverRules.RESOLVE_CA...
java
public static List<ResolverRule> getResolverRules() { return Arrays.asList( ResolverRules.LOOKUP_CALL_BY_NAME, ResolverRules.FLATTEN_STAR_REFERENCE, ResolverRules.EXPAND_COLUMN_FUNCTIONS, ResolverRules.OVER_WINDOWS, ResolverRules.FIELD_RESOLVE, ResolverRules.FLATTEN_CALL, ResolverRules.RESOLVE_CA...
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List of rules that will be applied during expression resolution.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/expressions/ExpressionResolver.java#L75-L85
124,397
apache/flink
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/expressions/ExpressionResolver.java
ExpressionResolver.resolveGroupWindow
public LogicalWindow resolveGroupWindow(GroupWindow window) { Expression alias = window.getAlias(); if (!(alias instanceof UnresolvedReferenceExpression)) { throw new ValidationException("Alias of group window should be an UnresolvedFieldReference"); } final String windowName = ((UnresolvedReferenceExpress...
java
public LogicalWindow resolveGroupWindow(GroupWindow window) { Expression alias = window.getAlias(); if (!(alias instanceof UnresolvedReferenceExpression)) { throw new ValidationException("Alias of group window should be an UnresolvedFieldReference"); } final String windowName = ((UnresolvedReferenceExpress...
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Converts an API class to a logical window for planning with expressions already resolved. @param window window to resolve @return logical window with expressions resolved
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/expressions/ExpressionResolver.java#L156-L196
124,398
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java
TaskSlotTable.start
public void start(SlotActions initialSlotActions) { this.slotActions = Preconditions.checkNotNull(initialSlotActions); timerService.start(this); started = true; }
java
public void start(SlotActions initialSlotActions) { this.slotActions = Preconditions.checkNotNull(initialSlotActions); timerService.start(this); started = true; }
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Start the task slot table with the given slot actions. @param initialSlotActions to use for slot actions
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java#L119-L125
124,399
apache/flink
flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java
TaskSlotTable.allocateSlot
public boolean allocateSlot(int index, JobID jobId, AllocationID allocationId, Time slotTimeout) { checkInit(); TaskSlot taskSlot = taskSlots.get(index); boolean result = taskSlot.allocate(jobId, allocationId); if (result) { // update the allocation id to task slot map allocationIDTaskSlotMap.put(alloc...
java
public boolean allocateSlot(int index, JobID jobId, AllocationID allocationId, Time slotTimeout) { checkInit(); TaskSlot taskSlot = taskSlots.get(index); boolean result = taskSlot.allocate(jobId, allocationId); if (result) { // update the allocation id to task slot map allocationIDTaskSlotMap.put(alloc...
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Allocate the slot with the given index for the given job and allocation id. Returns true if the slot could be allocated. Otherwise it returns false. @param index of the task slot to allocate @param jobId to allocate the task slot for @param allocationId identifying the allocation @param slotTimeout until the slot time...
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/slot/TaskSlotTable.java#L193-L219