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apache/flink
|
flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
|
Graph.translateVertexValues
|
public <NEW> Graph<K, NEW, EV> translateVertexValues(TranslateFunction<VV, NEW> translator) throws Exception {
return run(new TranslateVertexValues<>(translator));
}
|
java
|
public <NEW> Graph<K, NEW, EV> translateVertexValues(TranslateFunction<VV, NEW> translator) throws Exception {
return run(new TranslateVertexValues<>(translator));
}
|
[
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"TranslateVertexValues",
"<>",
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] |
Translate {@link Vertex} values using the given {@link MapFunction}.
@param translator implements conversion from {@code VV} to {@code NEW}
@param <NEW> new vertex value type
@return graph with translated vertex values
@throws Exception
|
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"Translate",
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"}",
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L642-L644
|
train
|
Translates the vertex values of the graph.
|
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30526
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apache/flink
|
flink-formats/flink-parquet/src/main/java/org/apache/flink/formats/parquet/utils/ParquetRecordReader.java
|
ParquetRecordReader.reachEnd
|
public boolean reachEnd() throws IOException {
// check if we have a read row that was not returned yet
if (readRecord != null && !readRecordReturned) {
return false;
}
// check if there are more rows to be read
if (numReadRecords >= numTotalRecords) {
return true;
}
// try to read next row
return !readNextRecord();
}
|
java
|
public boolean reachEnd() throws IOException {
// check if we have a read row that was not returned yet
if (readRecord != null && !readRecordReturned) {
return false;
}
// check if there are more rows to be read
if (numReadRecords >= numTotalRecords) {
return true;
}
// try to read next row
return !readNextRecord();
}
|
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Checks if the record reader returned all records.
This method must be called before a record can be returned.
@return False if there are more records to be read. True if all records have been returned.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-formats/flink-parquet/src/main/java/org/apache/flink/formats/parquet/utils/ParquetRecordReader.java#L197-L208
|
train
|
Checks if the underlying stream is reached the end of the file.
|
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apache/flink
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flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/SortMergeFullOuterJoinIterator.java
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SortMergeFullOuterJoinIterator.bufferRows1
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private void bufferRows1() throws IOException {
BinaryRow copy = key1.copy();
buffer1.reset();
do {
buffer1.add(row1);
} while (nextRow1() && keyComparator.compare(key1, copy) == 0);
buffer1.complete();
}
|
java
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private void bufferRows1() throws IOException {
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buffer1.reset();
do {
buffer1.add(row1);
} while (nextRow1() && keyComparator.compare(key1, copy) == 0);
buffer1.complete();
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/SortMergeFullOuterJoinIterator.java#L127-L134
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train
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java
|
IOUtil.readBytes
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public static byte[] readBytes(String path)
{
try
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if (IOAdapter == null) return readBytesFromFileInputStream(new FileInputStream(path));
InputStream is = IOAdapter.open(path);
if (is instanceof FileInputStream)
return readBytesFromFileInputStream((FileInputStream) is);
else
return readBytesFromOtherInputStream(is);
}
catch (Exception e)
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logger.warning("读取" + path + "时发生异常" + e);
}
return null;
}
|
java
|
public static byte[] readBytes(String path)
{
try
{
if (IOAdapter == null) return readBytesFromFileInputStream(new FileInputStream(path));
InputStream is = IOAdapter.open(path);
if (is instanceof FileInputStream)
return readBytesFromFileInputStream((FileInputStream) is);
else
return readBytesFromOtherInputStream(is);
}
catch (Exception e)
{
logger.warning("读取" + path + "时发生异常" + e);
}
return null;
}
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将整个文件读取为字节数组
@param path
@return
|
[
"将整个文件读取为字节数组"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/io/IOUtil.java#L174-L192
|
train
|
read bytes from file
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/io/CsvReader.java
|
CsvReader.ignoreComments
|
public CsvReader ignoreComments(String commentPrefix) {
if (commentPrefix == null || commentPrefix.length() == 0) {
throw new IllegalArgumentException("The comment prefix must not be null or an empty string");
}
this.commentPrefix = commentPrefix;
return this;
}
|
java
|
public CsvReader ignoreComments(String commentPrefix) {
if (commentPrefix == null || commentPrefix.length() == 0) {
throw new IllegalArgumentException("The comment prefix must not be null or an empty string");
}
this.commentPrefix = commentPrefix;
return this;
}
|
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Configures the string that starts comments.
By default comments will be treated as invalid lines.
This function only recognizes comments which start at the beginning of the line!
@param commentPrefix The string that starts the comments.
@return The CSV reader instance itself, to allow for fluent function chaining.
|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/io/CsvReader.java#L156-L163
|
train
|
Ignore comments from the file.
|
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apache/flink
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flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/FlinkKafkaProducerBase.java
|
FlinkKafkaProducerBase.getKafkaProducer
|
@VisibleForTesting
protected <K, V> KafkaProducer<K, V> getKafkaProducer(Properties props) {
return new KafkaProducer<>(props);
}
|
java
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@VisibleForTesting
protected <K, V> KafkaProducer<K, V> getKafkaProducer(Properties props) {
return new KafkaProducer<>(props);
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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/FlinkKafkaProducerBase.java#L203-L206
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train
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Returns a KafkaProducer instance.
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alibaba/canal
|
client-adapter/launcher/src/main/java/com/alibaba/otter/canal/adapter/launcher/monitor/remote/DbRemoteConfigLoader.java
|
DbRemoteConfigLoader.startMonitor
|
@Override
public void startMonitor() {
// 监听application.yml变化
executor.scheduleWithFixedDelay(() -> {
try {
loadRemoteConfig();
} catch (Throwable e) {
logger.error("scan remote application.yml failed", e);
}
}, 10, 3, TimeUnit.SECONDS);
// 监听adapter变化
executor.scheduleWithFixedDelay(() -> {
try {
loadRemoteAdapterConfigs();
} catch (Throwable e) {
logger.error("scan remote adapter configs failed", e);
}
}, 10, 3, TimeUnit.SECONDS);
}
|
java
|
@Override
public void startMonitor() {
// 监听application.yml变化
executor.scheduleWithFixedDelay(() -> {
try {
loadRemoteConfig();
} catch (Throwable e) {
logger.error("scan remote application.yml failed", e);
}
}, 10, 3, TimeUnit.SECONDS);
// 监听adapter变化
executor.scheduleWithFixedDelay(() -> {
try {
loadRemoteAdapterConfigs();
} catch (Throwable e) {
logger.error("scan remote adapter configs failed", e);
}
}, 10, 3, TimeUnit.SECONDS);
}
|
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启动监听数据库变化
|
[
"启动监听数据库变化"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/launcher/src/main/java/com/alibaba/otter/canal/adapter/launcher/monitor/remote/DbRemoteConfigLoader.java#L218-L237
|
train
|
Start the monitor.
|
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30526
] |
apache/spark
|
common/network-common/src/main/java/org/apache/spark/network/server/TransportRequestHandler.java
|
TransportRequestHandler.processStreamUpload
|
private void processStreamUpload(final UploadStream req) {
assert (req.body() == null);
try {
RpcResponseCallback callback = new RpcResponseCallback() {
@Override
public void onSuccess(ByteBuffer response) {
respond(new RpcResponse(req.requestId, new NioManagedBuffer(response)));
}
@Override
public void onFailure(Throwable e) {
respond(new RpcFailure(req.requestId, Throwables.getStackTraceAsString(e)));
}
};
TransportFrameDecoder frameDecoder = (TransportFrameDecoder)
channel.pipeline().get(TransportFrameDecoder.HANDLER_NAME);
ByteBuffer meta = req.meta.nioByteBuffer();
StreamCallbackWithID streamHandler = rpcHandler.receiveStream(reverseClient, meta, callback);
if (streamHandler == null) {
throw new NullPointerException("rpcHandler returned a null streamHandler");
}
StreamCallbackWithID wrappedCallback = new StreamCallbackWithID() {
@Override
public void onData(String streamId, ByteBuffer buf) throws IOException {
streamHandler.onData(streamId, buf);
}
@Override
public void onComplete(String streamId) throws IOException {
try {
streamHandler.onComplete(streamId);
callback.onSuccess(ByteBuffer.allocate(0));
} catch (Exception ex) {
IOException ioExc = new IOException("Failure post-processing complete stream;" +
" failing this rpc and leaving channel active", ex);
callback.onFailure(ioExc);
streamHandler.onFailure(streamId, ioExc);
}
}
@Override
public void onFailure(String streamId, Throwable cause) throws IOException {
callback.onFailure(new IOException("Destination failed while reading stream", cause));
streamHandler.onFailure(streamId, cause);
}
@Override
public String getID() {
return streamHandler.getID();
}
};
if (req.bodyByteCount > 0) {
StreamInterceptor<RequestMessage> interceptor = new StreamInterceptor<>(
this, wrappedCallback.getID(), req.bodyByteCount, wrappedCallback);
frameDecoder.setInterceptor(interceptor);
} else {
wrappedCallback.onComplete(wrappedCallback.getID());
}
} catch (Exception e) {
logger.error("Error while invoking RpcHandler#receive() on RPC id " + req.requestId, e);
respond(new RpcFailure(req.requestId, Throwables.getStackTraceAsString(e)));
// We choose to totally fail the channel, rather than trying to recover as we do in other
// cases. We don't know how many bytes of the stream the client has already sent for the
// stream, it's not worth trying to recover.
channel.pipeline().fireExceptionCaught(e);
} finally {
req.meta.release();
}
}
|
java
|
private void processStreamUpload(final UploadStream req) {
assert (req.body() == null);
try {
RpcResponseCallback callback = new RpcResponseCallback() {
@Override
public void onSuccess(ByteBuffer response) {
respond(new RpcResponse(req.requestId, new NioManagedBuffer(response)));
}
@Override
public void onFailure(Throwable e) {
respond(new RpcFailure(req.requestId, Throwables.getStackTraceAsString(e)));
}
};
TransportFrameDecoder frameDecoder = (TransportFrameDecoder)
channel.pipeline().get(TransportFrameDecoder.HANDLER_NAME);
ByteBuffer meta = req.meta.nioByteBuffer();
StreamCallbackWithID streamHandler = rpcHandler.receiveStream(reverseClient, meta, callback);
if (streamHandler == null) {
throw new NullPointerException("rpcHandler returned a null streamHandler");
}
StreamCallbackWithID wrappedCallback = new StreamCallbackWithID() {
@Override
public void onData(String streamId, ByteBuffer buf) throws IOException {
streamHandler.onData(streamId, buf);
}
@Override
public void onComplete(String streamId) throws IOException {
try {
streamHandler.onComplete(streamId);
callback.onSuccess(ByteBuffer.allocate(0));
} catch (Exception ex) {
IOException ioExc = new IOException("Failure post-processing complete stream;" +
" failing this rpc and leaving channel active", ex);
callback.onFailure(ioExc);
streamHandler.onFailure(streamId, ioExc);
}
}
@Override
public void onFailure(String streamId, Throwable cause) throws IOException {
callback.onFailure(new IOException("Destination failed while reading stream", cause));
streamHandler.onFailure(streamId, cause);
}
@Override
public String getID() {
return streamHandler.getID();
}
};
if (req.bodyByteCount > 0) {
StreamInterceptor<RequestMessage> interceptor = new StreamInterceptor<>(
this, wrappedCallback.getID(), req.bodyByteCount, wrappedCallback);
frameDecoder.setInterceptor(interceptor);
} else {
wrappedCallback.onComplete(wrappedCallback.getID());
}
} catch (Exception e) {
logger.error("Error while invoking RpcHandler#receive() on RPC id " + req.requestId, e);
respond(new RpcFailure(req.requestId, Throwables.getStackTraceAsString(e)));
// We choose to totally fail the channel, rather than trying to recover as we do in other
// cases. We don't know how many bytes of the stream the client has already sent for the
// stream, it's not worth trying to recover.
channel.pipeline().fireExceptionCaught(e);
} finally {
req.meta.release();
}
}
|
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] |
Handle a request from the client to upload a stream of data.
|
[
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"to",
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"."
] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/server/TransportRequestHandler.java#L172-L240
|
train
|
Process a stream upload request.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/slotmanager/SlotManager.java
|
SlotManager.internalRequestSlot
|
private void internalRequestSlot(PendingSlotRequest pendingSlotRequest) throws ResourceManagerException {
final ResourceProfile resourceProfile = pendingSlotRequest.getResourceProfile();
TaskManagerSlot taskManagerSlot = findMatchingSlot(resourceProfile);
if (taskManagerSlot != null) {
allocateSlot(taskManagerSlot, pendingSlotRequest);
} else {
Optional<PendingTaskManagerSlot> pendingTaskManagerSlotOptional = findFreeMatchingPendingTaskManagerSlot(resourceProfile);
if (!pendingTaskManagerSlotOptional.isPresent()) {
pendingTaskManagerSlotOptional = allocateResource(resourceProfile);
}
pendingTaskManagerSlotOptional.ifPresent(pendingTaskManagerSlot -> assignPendingTaskManagerSlot(pendingSlotRequest, pendingTaskManagerSlot));
}
}
|
java
|
private void internalRequestSlot(PendingSlotRequest pendingSlotRequest) throws ResourceManagerException {
final ResourceProfile resourceProfile = pendingSlotRequest.getResourceProfile();
TaskManagerSlot taskManagerSlot = findMatchingSlot(resourceProfile);
if (taskManagerSlot != null) {
allocateSlot(taskManagerSlot, pendingSlotRequest);
} else {
Optional<PendingTaskManagerSlot> pendingTaskManagerSlotOptional = findFreeMatchingPendingTaskManagerSlot(resourceProfile);
if (!pendingTaskManagerSlotOptional.isPresent()) {
pendingTaskManagerSlotOptional = allocateResource(resourceProfile);
}
pendingTaskManagerSlotOptional.ifPresent(pendingTaskManagerSlot -> assignPendingTaskManagerSlot(pendingSlotRequest, pendingTaskManagerSlot));
}
}
|
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Tries to allocate a slot for the given slot request. If there is no slot available, the
resource manager is informed to allocate more resources and a timeout for the request is
registered.
@param pendingSlotRequest to allocate a slot for
@throws ResourceManagerException if the resource manager cannot allocate more resource
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/slotmanager/SlotManager.java#L709-L724
|
train
|
Internal method to allocate a slot for the given request.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/operators/GroupReduceDriver.java
|
GroupReduceDriver.prepare
|
@Override
public void prepare() throws Exception {
TaskConfig config = this.taskContext.getTaskConfig();
if (config.getDriverStrategy() != DriverStrategy.SORTED_GROUP_REDUCE) {
throw new Exception("Unrecognized driver strategy for GroupReduce driver: " + config.getDriverStrategy().name());
}
final Counter numRecordsIn = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
this.serializer = this.taskContext.<IT>getInputSerializer(0).getSerializer();
this.comparator = this.taskContext.getDriverComparator(0);
this.input = new CountingMutableObjectIterator<>(this.taskContext.<IT>getInput(0), numRecordsIn);
ExecutionConfig executionConfig = taskContext.getExecutionConfig();
this.objectReuseEnabled = executionConfig.isObjectReuseEnabled();
if (LOG.isDebugEnabled()) {
LOG.debug("GroupReduceDriver object reuse: " + (this.objectReuseEnabled ? "ENABLED" : "DISABLED") + ".");
}
}
|
java
|
@Override
public void prepare() throws Exception {
TaskConfig config = this.taskContext.getTaskConfig();
if (config.getDriverStrategy() != DriverStrategy.SORTED_GROUP_REDUCE) {
throw new Exception("Unrecognized driver strategy for GroupReduce driver: " + config.getDriverStrategy().name());
}
final Counter numRecordsIn = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
this.serializer = this.taskContext.<IT>getInputSerializer(0).getSerializer();
this.comparator = this.taskContext.getDriverComparator(0);
this.input = new CountingMutableObjectIterator<>(this.taskContext.<IT>getInput(0), numRecordsIn);
ExecutionConfig executionConfig = taskContext.getExecutionConfig();
this.objectReuseEnabled = executionConfig.isObjectReuseEnabled();
if (LOG.isDebugEnabled()) {
LOG.debug("GroupReduceDriver object reuse: " + (this.objectReuseEnabled ? "ENABLED" : "DISABLED") + ".");
}
}
|
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[
"--------------------------------------------------------------------------------------------"
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/GroupReduceDriver.java#L89-L107
|
train
|
Prepare the task context.
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/template/engine/thymeleaf/ThymeleafEngine.java
|
ThymeleafEngine.createEngine
|
private static org.thymeleaf.TemplateEngine createEngine(TemplateConfig config) {
if (null == config) {
config = new TemplateConfig();
}
ITemplateResolver resolver = null;
switch (config.getResourceMode()) {
case CLASSPATH:
final ClassLoaderTemplateResolver classLoaderResolver = new ClassLoaderTemplateResolver();
classLoaderResolver.setCharacterEncoding(config.getCharsetStr());
classLoaderResolver.setTemplateMode(TemplateMode.HTML);
classLoaderResolver.setPrefix(StrUtil.addSuffixIfNot(config.getPath(), "/"));
resolver = classLoaderResolver;
break;
case FILE:
final FileTemplateResolver fileResolver = new FileTemplateResolver();
fileResolver.setCharacterEncoding(config.getCharsetStr());
fileResolver.setTemplateMode(TemplateMode.HTML);
fileResolver.setPrefix(StrUtil.addSuffixIfNot(config.getPath(), "/"));
resolver = fileResolver;
break;
case WEB_ROOT:
final FileTemplateResolver webRootResolver = new FileTemplateResolver();
webRootResolver.setCharacterEncoding(config.getCharsetStr());
webRootResolver.setTemplateMode(TemplateMode.HTML);
webRootResolver.setPrefix(StrUtil.addSuffixIfNot(FileUtil.getAbsolutePath(FileUtil.file(FileUtil.getWebRoot(), config.getPath())), "/"));
resolver = webRootResolver;
break;
case STRING:
resolver = new StringTemplateResolver();
break;
case COMPOSITE:
resolver = new DefaultTemplateResolver();
break;
default:
resolver = new DefaultTemplateResolver();
break;
}
final org.thymeleaf.TemplateEngine engine = new org.thymeleaf.TemplateEngine();
engine.setTemplateResolver(resolver);
return engine;
}
|
java
|
private static org.thymeleaf.TemplateEngine createEngine(TemplateConfig config) {
if (null == config) {
config = new TemplateConfig();
}
ITemplateResolver resolver = null;
switch (config.getResourceMode()) {
case CLASSPATH:
final ClassLoaderTemplateResolver classLoaderResolver = new ClassLoaderTemplateResolver();
classLoaderResolver.setCharacterEncoding(config.getCharsetStr());
classLoaderResolver.setTemplateMode(TemplateMode.HTML);
classLoaderResolver.setPrefix(StrUtil.addSuffixIfNot(config.getPath(), "/"));
resolver = classLoaderResolver;
break;
case FILE:
final FileTemplateResolver fileResolver = new FileTemplateResolver();
fileResolver.setCharacterEncoding(config.getCharsetStr());
fileResolver.setTemplateMode(TemplateMode.HTML);
fileResolver.setPrefix(StrUtil.addSuffixIfNot(config.getPath(), "/"));
resolver = fileResolver;
break;
case WEB_ROOT:
final FileTemplateResolver webRootResolver = new FileTemplateResolver();
webRootResolver.setCharacterEncoding(config.getCharsetStr());
webRootResolver.setTemplateMode(TemplateMode.HTML);
webRootResolver.setPrefix(StrUtil.addSuffixIfNot(FileUtil.getAbsolutePath(FileUtil.file(FileUtil.getWebRoot(), config.getPath())), "/"));
resolver = webRootResolver;
break;
case STRING:
resolver = new StringTemplateResolver();
break;
case COMPOSITE:
resolver = new DefaultTemplateResolver();
break;
default:
resolver = new DefaultTemplateResolver();
break;
}
final org.thymeleaf.TemplateEngine engine = new org.thymeleaf.TemplateEngine();
engine.setTemplateResolver(resolver);
return engine;
}
|
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] |
创建引擎
@param config 模板配置
@return {@link TemplateEngine}
|
[
"创建引擎"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/template/engine/thymeleaf/ThymeleafEngine.java#L66-L108
|
train
|
Creates a new engine based on the given template config.
|
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/AllWindowedStream.java
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AllWindowedStream.max
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public SingleOutputStreamOperator<T> max(String field) {
return aggregate(new ComparableAggregator<>(field, input.getType(), AggregationFunction.AggregationType.MAX, false, input.getExecutionConfig()));
}
|
java
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public SingleOutputStreamOperator<T> max(String field) {
return aggregate(new ComparableAggregator<>(field, input.getType(), AggregationFunction.AggregationType.MAX, false, input.getExecutionConfig()));
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/AllWindowedStream.java#L1498-L1500
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train
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Max aggregation for Comparable type
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/net/NetworkUtils.java
|
NetworkUtils.getIp4NonLoopbackAddressOfThisMachine
|
public InetAddress getIp4NonLoopbackAddressOfThisMachine() {
for (NetworkInterface iface : networkInterfaceProvider.getNetworkInterfaces()) {
final InetAddress ip4NonLoopback = iface.getIp4NonLoopBackOnly();
if (ip4NonLoopback != null) {
return ip4NonLoopback;
}
}
throw new WebDriverException("Could not find a non-loopback ip4 address for this machine");
}
|
java
|
public InetAddress getIp4NonLoopbackAddressOfThisMachine() {
for (NetworkInterface iface : networkInterfaceProvider.getNetworkInterfaces()) {
final InetAddress ip4NonLoopback = iface.getIp4NonLoopBackOnly();
if (ip4NonLoopback != null) {
return ip4NonLoopback;
}
}
throw new WebDriverException("Could not find a non-loopback ip4 address for this machine");
}
|
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Returns a non-loopback IP4 hostname of the local host.
@return A string hostName
|
[
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/net/NetworkUtils.java#L98-L106
|
train
|
Get the IP4 address of the non - loopback network interface that is not loopback.
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/config/ConfigFileApplicationListener.java
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ConfigFileApplicationListener.addPropertySources
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protected void addPropertySources(ConfigurableEnvironment environment,
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new Loader(environment, resourceLoader).load();
}
|
java
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protected void addPropertySources(ConfigurableEnvironment environment,
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/context/config/ConfigFileApplicationListener.java#L210-L214
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train
|
Add property sources to the environment.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/annotation/AnnotationUtil.java
|
AnnotationUtil.getRetentionPolicy
|
public static RetentionPolicy getRetentionPolicy(Class<? extends Annotation> annotationType) {
final Retention retention = annotationType.getAnnotation(Retention.class);
if (null == retention) {
return RetentionPolicy.CLASS;
}
return retention.value();
}
|
java
|
public static RetentionPolicy getRetentionPolicy(Class<? extends Annotation> annotationType) {
final Retention retention = annotationType.getAnnotation(Retention.class);
if (null == retention) {
return RetentionPolicy.CLASS;
}
return retention.value();
}
|
[
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获取注解类的保留时间，可选值 SOURCE（源码时），CLASS（编译时），RUNTIME（运行时），默认为 CLASS
@param annotationType 注解类
@return 保留时间枚举
|
[
"获取注解类的保留时间，可选值",
"SOURCE（源码时），CLASS（编译时），RUNTIME（运行时），默认为",
"CLASS"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/annotation/AnnotationUtil.java#L147-L153
|
train
|
Gets the retention policy from an annotation.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java
|
IoUtil.readLines
|
public static void readLines(Reader reader, LineHandler lineHandler) throws IORuntimeException {
Assert.notNull(reader);
Assert.notNull(lineHandler);
// 从返回的内容中读取所需内容
final BufferedReader bReader = getReader(reader);
String line = null;
try {
while ((line = bReader.readLine()) != null) {
lineHandler.handle(line);
}
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
java
|
public static void readLines(Reader reader, LineHandler lineHandler) throws IORuntimeException {
Assert.notNull(reader);
Assert.notNull(lineHandler);
// 从返回的内容中读取所需内容
final BufferedReader bReader = getReader(reader);
String line = null;
try {
while ((line = bReader.readLine()) != null) {
lineHandler.handle(line);
}
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
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按行读取数据，针对每行的数据做处理<br>
{@link Reader}自带编码定义，因此读取数据的编码跟随其编码。
@param reader {@link Reader}
@param lineHandler 行处理接口，实现handle方法用于编辑一行的数据后入到指定地方
@throws IORuntimeException IO异常
|
[
"按行读取数据，针对每行的数据做处理<br",
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"自带编码定义，因此读取数据的编码跟随其编码。"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L714-L728
|
train
|
Reads the lines from the specified reader and calls the specified LineHandler for each line.
|
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apache/flink
|
flink-clients/src/main/java/org/apache/flink/client/cli/CliFrontendParser.java
|
CliFrontendParser.getRunOptionsWithoutDeprecatedOptions
|
private static Options getRunOptionsWithoutDeprecatedOptions(Options options) {
Options o = getProgramSpecificOptionsWithoutDeprecatedOptions(options);
o.addOption(SAVEPOINT_PATH_OPTION);
return o.addOption(SAVEPOINT_ALLOW_NON_RESTORED_OPTION);
}
|
java
|
private static Options getRunOptionsWithoutDeprecatedOptions(Options options) {
Options o = getProgramSpecificOptionsWithoutDeprecatedOptions(options);
o.addOption(SAVEPOINT_PATH_OPTION);
return o.addOption(SAVEPOINT_ALLOW_NON_RESTORED_OPTION);
}
|
[
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] |
--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-clients/src/main/java/org/apache/flink/client/cli/CliFrontendParser.java#L242-L246
|
train
|
Returns the options that are not deprecated.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobGraph.java
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JobGraph.addUserJarBlobKey
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public void addUserJarBlobKey(PermanentBlobKey key) {
if (key == null) {
throw new IllegalArgumentException();
}
if (!userJarBlobKeys.contains(key)) {
userJarBlobKeys.add(key);
}
}
|
java
|
public void addUserJarBlobKey(PermanentBlobKey key) {
if (key == null) {
throw new IllegalArgumentException();
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if (!userJarBlobKeys.contains(key)) {
userJarBlobKeys.add(key);
}
}
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path of the JAR file required to run the job on a task manager
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobGraph.java#L540-L548
|
train
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Add a BlobKey to the UserJarBlobKey list.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/Img.java
|
Img.flip
|
public Img flip() {
final BufferedImage image = getValidSrcImg();
int width = image.getWidth();
int height = image.getHeight();
final BufferedImage targetImg = new BufferedImage(width, height, getTypeInt());
Graphics2D graphics2d = targetImg.createGraphics();
graphics2d.drawImage(image, 0, 0, width, height, width, 0, 0, height, null);
graphics2d.dispose();
this.targetImage = targetImg;
return this;
}
|
java
|
public Img flip() {
final BufferedImage image = getValidSrcImg();
int width = image.getWidth();
int height = image.getHeight();
final BufferedImage targetImg = new BufferedImage(width, height, getTypeInt());
Graphics2D graphics2d = targetImg.createGraphics();
graphics2d.drawImage(image, 0, 0, width, height, width, 0, 0, height, null);
graphics2d.dispose();
this.targetImage = targetImg;
return this;
}
|
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水平翻转图像
@return this
|
[
"水平翻转图像"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/Img.java#L489-L499
|
train
|
Flips the image.
|
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apache/spark
|
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
|
ColumnVector.getDoubles
|
public double[] getDoubles(int rowId, int count) {
double[] res = new double[count];
for (int i = 0; i < count; i++) {
res[i] = getDouble(rowId + i);
}
return res;
}
|
java
|
public double[] getDoubles(int rowId, int count) {
double[] res = new double[count];
for (int i = 0; i < count; i++) {
res[i] = getDouble(rowId + i);
}
return res;
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L200-L206
|
train
|
Gets the double array from the specified row.
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netty/netty
|
example/src/main/java/io/netty/example/http/upload/HttpUploadClient.java
|
HttpUploadClient.formpost
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private static List<InterfaceHttpData> formpost(
Bootstrap bootstrap,
String host, int port, URI uriSimple, File file, HttpDataFactory factory,
List<Entry<String, String>> headers) throws Exception {
// XXX /formpost
// Start the connection attempt.
ChannelFuture future = bootstrap.connect(SocketUtils.socketAddress(host, port));
// Wait until the connection attempt succeeds or fails.
Channel channel = future.sync().channel();
// Prepare the HTTP request.
HttpRequest request = new DefaultHttpRequest(HttpVersion.HTTP_1_1, HttpMethod.POST, uriSimple.toASCIIString());
// Use the PostBody encoder
HttpPostRequestEncoder bodyRequestEncoder =
new HttpPostRequestEncoder(factory, request, false); // false => not multipart
// it is legal to add directly header or cookie into the request until finalize
for (Entry<String, String> entry : headers) {
request.headers().set(entry.getKey(), entry.getValue());
}
// add Form attribute
bodyRequestEncoder.addBodyAttribute("getform", "POST");
bodyRequestEncoder.addBodyAttribute("info", "first value");
bodyRequestEncoder.addBodyAttribute("secondinfo", "secondvalue ���&");
bodyRequestEncoder.addBodyAttribute("thirdinfo", textArea);
bodyRequestEncoder.addBodyAttribute("fourthinfo", textAreaLong);
bodyRequestEncoder.addBodyFileUpload("myfile", file, "application/x-zip-compressed", false);
// finalize request
request = bodyRequestEncoder.finalizeRequest();
// Create the bodylist to be reused on the last version with Multipart support
List<InterfaceHttpData> bodylist = bodyRequestEncoder.getBodyListAttributes();
// send request
channel.write(request);
// test if request was chunked and if so, finish the write
if (bodyRequestEncoder.isChunked()) { // could do either request.isChunked()
// either do it through ChunkedWriteHandler
channel.write(bodyRequestEncoder);
}
channel.flush();
// Do not clear here since we will reuse the InterfaceHttpData on the next request
// for the example (limit action on client side). Take this as a broadcast of the same
// request on both Post actions.
//
// On standard program, it is clearly recommended to clean all files after each request
// bodyRequestEncoder.cleanFiles();
// Wait for the server to close the connection.
channel.closeFuture().sync();
return bodylist;
}
|
java
|
private static List<InterfaceHttpData> formpost(
Bootstrap bootstrap,
String host, int port, URI uriSimple, File file, HttpDataFactory factory,
List<Entry<String, String>> headers) throws Exception {
// XXX /formpost
// Start the connection attempt.
ChannelFuture future = bootstrap.connect(SocketUtils.socketAddress(host, port));
// Wait until the connection attempt succeeds or fails.
Channel channel = future.sync().channel();
// Prepare the HTTP request.
HttpRequest request = new DefaultHttpRequest(HttpVersion.HTTP_1_1, HttpMethod.POST, uriSimple.toASCIIString());
// Use the PostBody encoder
HttpPostRequestEncoder bodyRequestEncoder =
new HttpPostRequestEncoder(factory, request, false); // false => not multipart
// it is legal to add directly header or cookie into the request until finalize
for (Entry<String, String> entry : headers) {
request.headers().set(entry.getKey(), entry.getValue());
}
// add Form attribute
bodyRequestEncoder.addBodyAttribute("getform", "POST");
bodyRequestEncoder.addBodyAttribute("info", "first value");
bodyRequestEncoder.addBodyAttribute("secondinfo", "secondvalue ���&");
bodyRequestEncoder.addBodyAttribute("thirdinfo", textArea);
bodyRequestEncoder.addBodyAttribute("fourthinfo", textAreaLong);
bodyRequestEncoder.addBodyFileUpload("myfile", file, "application/x-zip-compressed", false);
// finalize request
request = bodyRequestEncoder.finalizeRequest();
// Create the bodylist to be reused on the last version with Multipart support
List<InterfaceHttpData> bodylist = bodyRequestEncoder.getBodyListAttributes();
// send request
channel.write(request);
// test if request was chunked and if so, finish the write
if (bodyRequestEncoder.isChunked()) { // could do either request.isChunked()
// either do it through ChunkedWriteHandler
channel.write(bodyRequestEncoder);
}
channel.flush();
// Do not clear here since we will reuse the InterfaceHttpData on the next request
// for the example (limit action on client side). Take this as a broadcast of the same
// request on both Post actions.
//
// On standard program, it is clearly recommended to clean all files after each request
// bodyRequestEncoder.cleanFiles();
// Wait for the server to close the connection.
channel.closeFuture().sync();
return bodylist;
}
|
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] |
Standard post without multipart but already support on Factory (memory management)
@return the list of HttpData object (attribute and file) to be reused on next post
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/example/src/main/java/io/netty/example/http/upload/HttpUploadClient.java#L204-L260
|
train
|
Form post a file to a server.
|
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apache/spark
|
common/network-common/src/main/java/org/apache/spark/network/server/OneForOneStreamManager.java
|
OneForOneStreamManager.registerStream
|
public long registerStream(String appId, Iterator<ManagedBuffer> buffers, Channel channel) {
long myStreamId = nextStreamId.getAndIncrement();
streams.put(myStreamId, new StreamState(appId, buffers, channel));
return myStreamId;
}
|
java
|
public long registerStream(String appId, Iterator<ManagedBuffer> buffers, Channel channel) {
long myStreamId = nextStreamId.getAndIncrement();
streams.put(myStreamId, new StreamState(appId, buffers, channel));
return myStreamId;
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/server/OneForOneStreamManager.java#L198-L202
|
train
|
Registers a new stream.
|
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looly/hutool
|
hutool-log/src/main/java/cn/hutool/log/StaticLog.java
|
StaticLog.debug
|
public static void debug(Log log, String format, Object... arguments) {
if (false == log(log, Level.DEBUG, null, format, arguments)) {
log.debug(format, arguments);
}
}
|
java
|
public static void debug(Log log, String format, Object... arguments) {
if (false == log(log, Level.DEBUG, null, format, arguments)) {
log.debug(format, arguments);
}
}
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Debug等级日志，小于Info
@param log 日志对象
@param format 格式文本，{} 代表变量
@param arguments 变量对应的参数
|
[
"Debug等级日志，小于Info"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-log/src/main/java/cn/hutool/log/StaticLog.java#L64-L68
|
train
|
Logs a message at the DEBUG level.
|
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30526
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apache/incubator-shardingsphere
|
sharding-proxy/sharding-proxy-backend/src/main/java/org/apache/shardingsphere/shardingproxy/backend/schema/LogicSchemas.java
|
LogicSchemas.getLogicSchema
|
public LogicSchema getLogicSchema(final String schemaName) {
return Strings.isNullOrEmpty(schemaName) ? null : logicSchemas.get(schemaName);
}
|
java
|
public LogicSchema getLogicSchema(final String schemaName) {
return Strings.isNullOrEmpty(schemaName) ? null : logicSchemas.get(schemaName);
}
|
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] |
Get logic schema.
@param schemaName schema name
@return sharding schema
|
[
"Get",
"logic",
"schema",
"."
] |
f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-proxy/sharding-proxy-backend/src/main/java/org/apache/shardingsphere/shardingproxy/backend/schema/LogicSchemas.java#L142-L144
|
train
|
Gets the logic schema.
|
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networknt/light-4j
|
security/src/main/java/com/networknt/security/JwtIssuer.java
|
JwtIssuer.getDefaultJwtClaims
|
public static JwtClaims getDefaultJwtClaims() {
JwtClaims claims = new JwtClaims();
claims.setIssuer(jwtConfig.getIssuer());
claims.setAudience(jwtConfig.getAudience());
claims.setExpirationTimeMinutesInTheFuture(jwtConfig.getExpiredInMinutes());
claims.setGeneratedJwtId(); // a unique identifier for the token
claims.setIssuedAtToNow(); // when the token was issued/created (now)
claims.setNotBeforeMinutesInThePast(2); // time before which the token is not yet valid (2 minutes ago)
claims.setClaim("version", jwtConfig.getVersion());
return claims;
}
|
java
|
public static JwtClaims getDefaultJwtClaims() {
JwtClaims claims = new JwtClaims();
claims.setIssuer(jwtConfig.getIssuer());
claims.setAudience(jwtConfig.getAudience());
claims.setExpirationTimeMinutesInTheFuture(jwtConfig.getExpiredInMinutes());
claims.setGeneratedJwtId(); // a unique identifier for the token
claims.setIssuedAtToNow(); // when the token was issued/created (now)
claims.setNotBeforeMinutesInThePast(2); // time before which the token is not yet valid (2 minutes ago)
claims.setClaim("version", jwtConfig.getVersion());
return claims;
}
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@return JwtClaims
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/security/src/main/java/com/networknt/security/JwtIssuer.java#L99-L112
|
train
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Returns the default jwt claims.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dependency/perceptron/parser/KBeamArcEagerDependencyParser.java
|
KBeamArcEagerDependencyParser.evaluate
|
public double[] evaluate(String testCorpus) throws IOException, ExecutionException, InterruptedException
{
Options options = parser.options;
options.goldFile = testCorpus;
File tmpTemplate = File.createTempFile("pred-" + new Date().getTime(), ".conll");
tmpTemplate.deleteOnExit();
options.predFile = tmpTemplate.getAbsolutePath();
options.outputFile = options.predFile;
File scoreFile = File.createTempFile("score-" + new Date().getTime(), ".txt");
scoreFile.deleteOnExit();
parser.parseConllFile(testCorpus, options.outputFile, options.rootFirst, options.beamWidth, true,
options.lowercase, 1, false, scoreFile.getAbsolutePath());
return Evaluator.evaluate(options.goldFile, options.predFile, options.punctuations);
}
|
java
|
public double[] evaluate(String testCorpus) throws IOException, ExecutionException, InterruptedException
{
Options options = parser.options;
options.goldFile = testCorpus;
File tmpTemplate = File.createTempFile("pred-" + new Date().getTime(), ".conll");
tmpTemplate.deleteOnExit();
options.predFile = tmpTemplate.getAbsolutePath();
options.outputFile = options.predFile;
File scoreFile = File.createTempFile("score-" + new Date().getTime(), ".txt");
scoreFile.deleteOnExit();
parser.parseConllFile(testCorpus, options.outputFile, options.rootFirst, options.beamWidth, true,
options.lowercase, 1, false, scoreFile.getAbsolutePath());
return Evaluator.evaluate(options.goldFile, options.predFile, options.punctuations);
}
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标准化评测
@param testCorpus 测试语料
@return 包含UF、LF的数组
@throws IOException
@throws ExecutionException
@throws InterruptedException
|
[
"标准化评测"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dependency/perceptron/parser/KBeamArcEagerDependencyParser.java#L96-L109
|
train
|
Evaluate the CIS corpus.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/memory/MemoryManager.java
|
MemoryManager.releaseAll
|
public void releaseAll(Object owner) {
if (owner == null) {
return;
}
// -------------------- BEGIN CRITICAL SECTION -------------------
synchronized (lock) {
if (isShutDown) {
throw new IllegalStateException("Memory manager has been shut down.");
}
// get all segments
final Set<MemorySegment> segments = allocatedSegments.remove(owner);
// all segments may have been freed previously individually
if (segments == null || segments.isEmpty()) {
return;
}
// free each segment
if (isPreAllocated) {
for (MemorySegment seg : segments) {
memoryPool.returnSegmentToPool(seg);
}
}
else {
for (MemorySegment seg : segments) {
seg.free();
}
numNonAllocatedPages += segments.size();
}
segments.clear();
}
// -------------------- END CRITICAL SECTION -------------------
}
|
java
|
public void releaseAll(Object owner) {
if (owner == null) {
return;
}
// -------------------- BEGIN CRITICAL SECTION -------------------
synchronized (lock) {
if (isShutDown) {
throw new IllegalStateException("Memory manager has been shut down.");
}
// get all segments
final Set<MemorySegment> segments = allocatedSegments.remove(owner);
// all segments may have been freed previously individually
if (segments == null || segments.isEmpty()) {
return;
}
// free each segment
if (isPreAllocated) {
for (MemorySegment seg : segments) {
memoryPool.returnSegmentToPool(seg);
}
}
else {
for (MemorySegment seg : segments) {
seg.free();
}
numNonAllocatedPages += segments.size();
}
segments.clear();
}
// -------------------- END CRITICAL SECTION -------------------
}
|
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Releases all memory segments for the given owner.
@param owner The owner memory segments are to be released.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/memory/MemoryManager.java#L472-L507
|
train
|
Releases all memory segments allocated by the given owner.
|
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apache/flink
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flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/drivers/parameter/Util.java
|
Util.checkParameter
|
public static void checkParameter(boolean condition, @Nullable Object errorMessage) {
if (!condition) {
throw new ProgramParametrizationException(String.valueOf(errorMessage));
}
}
|
java
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public static void checkParameter(boolean condition, @Nullable Object errorMessage) {
if (!condition) {
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Checks the given boolean condition, and throws an {@code ProgramParametrizationException} if
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@throws ProgramParametrizationException Thrown, if the condition is violated.
@see Preconditions#checkNotNull(Object, String)
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/drivers/parameter/Util.java#L49-L53
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train
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Check parameter.
|
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apache/spark
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common/network-common/src/main/java/org/apache/spark/network/server/TransportRequestHandler.java
|
TransportRequestHandler.respond
|
private ChannelFuture respond(Encodable result) {
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|
java
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private ChannelFuture respond(Encodable result) {
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channel.close();
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});
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/server/TransportRequestHandler.java#L256-L267
|
train
|
Sends a response to the server.
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alibaba/canal
|
parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/tsdb/DatabaseTableMeta.java
|
DatabaseTableMeta.dumpTableMeta
|
private boolean dumpTableMeta(MysqlConnection connection, final CanalEventFilter filter) {
try {
ResultSetPacket packet = connection.query("show databases");
List<String> schemas = new ArrayList<String>();
for (String schema : packet.getFieldValues()) {
schemas.add(schema);
}
for (String schema : schemas) {
// filter views
packet = connection.query("show full tables from `" + schema + "` where Table_type = 'BASE TABLE'");
List<String> tables = new ArrayList<String>();
for (String table : packet.getFieldValues()) {
if ("BASE TABLE".equalsIgnoreCase(table)) {
continue;
}
String fullName = schema + "." + table;
if (blackFilter == null || !blackFilter.filter(fullName)) {
if (filter == null || filter.filter(fullName)) {
tables.add(table);
}
}
}
if (tables.isEmpty()) {
continue;
}
StringBuilder sql = new StringBuilder();
for (String table : tables) {
sql.append("show create table `" + schema + "`.`" + table + "`;");
}
List<ResultSetPacket> packets = connection.queryMulti(sql.toString());
for (ResultSetPacket onePacket : packets) {
if (onePacket.getFieldValues().size() > 1) {
String oneTableCreateSql = onePacket.getFieldValues().get(1);
memoryTableMeta.apply(INIT_POSITION, schema, oneTableCreateSql, null);
}
}
}
return true;
} catch (IOException e) {
throw new CanalParseException(e);
}
}
|
java
|
private boolean dumpTableMeta(MysqlConnection connection, final CanalEventFilter filter) {
try {
ResultSetPacket packet = connection.query("show databases");
List<String> schemas = new ArrayList<String>();
for (String schema : packet.getFieldValues()) {
schemas.add(schema);
}
for (String schema : schemas) {
// filter views
packet = connection.query("show full tables from `" + schema + "` where Table_type = 'BASE TABLE'");
List<String> tables = new ArrayList<String>();
for (String table : packet.getFieldValues()) {
if ("BASE TABLE".equalsIgnoreCase(table)) {
continue;
}
String fullName = schema + "." + table;
if (blackFilter == null || !blackFilter.filter(fullName)) {
if (filter == null || filter.filter(fullName)) {
tables.add(table);
}
}
}
if (tables.isEmpty()) {
continue;
}
StringBuilder sql = new StringBuilder();
for (String table : tables) {
sql.append("show create table `" + schema + "`.`" + table + "`;");
}
List<ResultSetPacket> packets = connection.queryMulti(sql.toString());
for (ResultSetPacket onePacket : packets) {
if (onePacket.getFieldValues().size() > 1) {
String oneTableCreateSql = onePacket.getFieldValues().get(1);
memoryTableMeta.apply(INIT_POSITION, schema, oneTableCreateSql, null);
}
}
}
return true;
} catch (IOException e) {
throw new CanalParseException(e);
}
}
|
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初始化的时候dump一下表结构
|
[
"初始化的时候dump一下表结构"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/tsdb/DatabaseTableMeta.java#L197-L243
|
train
|
Dump table meta.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/logging/LogLevelMapping.java
|
LogLevelMapping.getName
|
public static String getName(Level level) {
Level normalized = normalize(level);
return normalized == Level.FINE ? DEBUG : normalized.getName();
}
|
java
|
public static String getName(Level level) {
Level normalized = normalize(level);
return normalized == Level.FINE ? DEBUG : normalized.getName();
}
|
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Converts the JDK level to a name supported by Selenium.
@param level log level to get the string name of
@return string name representation of the level selenium supports
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[
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/logging/LogLevelMapping.java#L76-L79
|
train
|
Returns the name of the given level.
|
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30526
] |
looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/digest/HMac.java
|
HMac.digest
|
public byte[] digest(byte[] data) {
byte[] result;
try {
result = mac.doFinal(data);
} finally {
mac.reset();
}
return result;
}
|
java
|
public byte[] digest(byte[] data) {
byte[] result;
try {
result = mac.doFinal(data);
} finally {
mac.reset();
}
return result;
}
|
[
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] |
生成摘要
@param data 数据bytes
@return 摘要bytes
|
[
"生成摘要"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/digest/HMac.java#L173-L181
|
train
|
Computes the MD5 digest of the given byte array.
|
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flink-core/src/main/java/org/apache/flink/api/common/operators/AbstractUdfOperator.java
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AbstractUdfOperator.emptyClassArray
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protected static <U> Class<U>[] emptyClassArray() {
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return array;
}
|
java
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protected static <U> Class<U>[] emptyClassArray() {
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Class<U>[] array = new Class[0];
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/AbstractUdfOperator.java#L154-L158
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train
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java
|
HttpHeaders.setHost
|
@Deprecated
public static void setHost(HttpMessage message, String value) {
message.headers().set(HttpHeaderNames.HOST, value);
}
|
java
|
@Deprecated
public static void setHost(HttpMessage message, String value) {
message.headers().set(HttpHeaderNames.HOST, value);
}
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@deprecated Use {@link #set(CharSequence, Object)} instead.
@see #setHost(HttpMessage, CharSequence)
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/HttpHeaders.java#L1024-L1027
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train
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Sets the Host header of the given message.
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apache/flink
|
flink-connectors/flink-connector-kafka/src/main/java/org/apache/flink/streaming/connectors/kafka/FlinkKafkaProducer.java
|
FlinkKafkaProducer.abortTransactions
|
private void abortTransactions(Set<String> transactionalIds) {
for (String transactionalId : transactionalIds) {
try (FlinkKafkaInternalProducer<byte[], byte[]> kafkaProducer =
initTransactionalProducer(transactionalId, false)) {
// it suffice to call initTransactions - this will abort any lingering transactions
kafkaProducer.initTransactions();
}
}
}
|
java
|
private void abortTransactions(Set<String> transactionalIds) {
for (String transactionalId : transactionalIds) {
try (FlinkKafkaInternalProducer<byte[], byte[]> kafkaProducer =
initTransactionalProducer(transactionalId, false)) {
// it suffice to call initTransactions - this will abort any lingering transactions
kafkaProducer.initTransactions();
}
}
}
|
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] |
----------------------------------- Utilities --------------------------
|
[
"-----------------------------------",
"Utilities",
"--------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka/src/main/java/org/apache/flink/streaming/connectors/kafka/FlinkKafkaProducer.java#L901-L909
|
train
|
Abort all transactions with transactionalIds
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/AbstractFilterRegistrationBean.java
|
AbstractFilterRegistrationBean.setUrlPatterns
|
public void setUrlPatterns(Collection<String> urlPatterns) {
Assert.notNull(urlPatterns, "UrlPatterns must not be null");
this.urlPatterns = new LinkedHashSet<>(urlPatterns);
}
|
java
|
public void setUrlPatterns(Collection<String> urlPatterns) {
Assert.notNull(urlPatterns, "UrlPatterns must not be null");
this.urlPatterns = new LinkedHashSet<>(urlPatterns);
}
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Set the URL patterns that the filter will be registered against. This will replace
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@param urlPatterns the URL patterns
@see #setServletRegistrationBeans
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/AbstractFilterRegistrationBean.java#L142-L145
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train
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Sets the URL patterns to be used in the URL.
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30526
] |
looly/hutool
|
hutool-cron/src/main/java/cn/hutool/cron/pattern/matcher/ValueMatcherBuilder.java
|
ValueMatcherBuilder.build
|
public static ValueMatcher build(String value, ValueParser parser) {
if (isMatchAllStr(value)) {
//兼容Quartz的"?"表达式，不会出现互斥情况，与"*"作用相同
return new AlwaysTrueValueMatcher();
}
List<Integer> values = parseArray(value, parser);
if (values.size() == 0) {
throw new CronException("Invalid field: [{}]", value);
}
if (parser instanceof DayOfMonthValueParser) {
//考虑每月的天数不同，且存在闰年情况，日匹配单独使用
return new DayOfMonthValueMatcher(values);
}else if(parser instanceof YearValueParser){
//考虑年数字太大，不适合boolean数组，单独使用列表遍历匹配
return new YearValueMatcher(values);
}else {
return new BoolArrayValueMatcher(values);
}
}
|
java
|
public static ValueMatcher build(String value, ValueParser parser) {
if (isMatchAllStr(value)) {
//兼容Quartz的"?"表达式，不会出现互斥情况，与"*"作用相同
return new AlwaysTrueValueMatcher();
}
List<Integer> values = parseArray(value, parser);
if (values.size() == 0) {
throw new CronException("Invalid field: [{}]", value);
}
if (parser instanceof DayOfMonthValueParser) {
//考虑每月的天数不同，且存在闰年情况，日匹配单独使用
return new DayOfMonthValueMatcher(values);
}else if(parser instanceof YearValueParser){
//考虑年数字太大，不适合boolean数组，单独使用列表遍历匹配
return new YearValueMatcher(values);
}else {
return new BoolArrayValueMatcher(values);
}
}
|
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] |
处理定时任务表达式每个时间字段<br>
多个时间使用逗号分隔
@param value 某个时间字段
@param parser 针对这个时间字段的解析器
@return List
|
[
"处理定时任务表达式每个时间字段<br",
">",
"多个时间使用逗号分隔"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cron/src/main/java/cn/hutool/cron/pattern/matcher/ValueMatcherBuilder.java#L29-L49
|
train
|
Build a value matcher from a string.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatServletWebServerFactory.java
|
TomcatServletWebServerFactory.setEngineValves
|
public void setEngineValves(Collection<? extends Valve> engineValves) {
Assert.notNull(engineValves, "Valves must not be null");
this.engineValves = new ArrayList<>(engineValves);
}
|
java
|
public void setEngineValves(Collection<? extends Valve> engineValves) {
Assert.notNull(engineValves, "Valves must not be null");
this.engineValves = new ArrayList<>(engineValves);
}
|
[
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] |
Set {@link Valve}s that should be applied to the Tomcat {@link Engine}. Calling
this method will replace any existing valves.
@param engineValves the valves to set
|
[
"Set",
"{"
] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/tomcat/TomcatServletWebServerFactory.java#L496-L499
|
train
|
Sets the list of engine valves to use.
|
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30526
] |
looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java
|
SqlConnRunner.page
|
public PageResult<Entity> page(Connection conn, Collection<String> fields, Entity where, Page page) throws SQLException {
checkConn(conn);
//查询全部
if(null == page){
List<Entity> entityList = this.find(conn, fields, where, new EntityListHandler());
final PageResult<Entity> pageResult = new PageResult<Entity>(0, entityList.size(), entityList.size());
pageResult.addAll(entityList);
return pageResult;
}
final int count = count(conn, where);
PageResultHandler pageResultHandler = PageResultHandler.create(new PageResult<Entity>(page.getPageNumber(), page.getPageSize(), count));
return this.page(conn, fields, where, page, pageResultHandler);
}
|
java
|
public PageResult<Entity> page(Connection conn, Collection<String> fields, Entity where, Page page) throws SQLException {
checkConn(conn);
//查询全部
if(null == page){
List<Entity> entityList = this.find(conn, fields, where, new EntityListHandler());
final PageResult<Entity> pageResult = new PageResult<Entity>(0, entityList.size(), entityList.size());
pageResult.addAll(entityList);
return pageResult;
}
final int count = count(conn, where);
PageResultHandler pageResultHandler = PageResultHandler.create(new PageResult<Entity>(page.getPageNumber(), page.getPageSize(), count));
return this.page(conn, fields, where, page, pageResultHandler);
}
|
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] |
分页查询<br>
此方法不会关闭Connection
@param conn 数据库连接对象
@param fields 返回的字段列表，null则返回所有字段
@param where 条件实体类（包含表名）
@param page 分页对象
@return 结果对象
@throws SQLException SQL执行异常
|
[
"分页查询<br",
">",
"此方法不会关闭Connection"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/SqlConnRunner.java#L528-L542
|
train
|
Gets a page of entities in the database.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.tail
|
public static void tail(File file, LineHandler handler) {
tail(file, CharsetUtil.CHARSET_UTF_8, handler);
}
|
java
|
public static void tail(File file, LineHandler handler) {
tail(file, CharsetUtil.CHARSET_UTF_8, handler);
}
|
[
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"(",
"file",
",",
"CharsetUtil",
".",
"CHARSET_UTF_8",
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"handler",
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";",
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] |
文件内容跟随器，实现类似Linux下"tail -f"命令功能<br>
此方法会阻塞当前线程
@param file 文件
@param handler 行处理器
|
[
"文件内容跟随器，实现类似Linux下",
"tail",
"-",
"f",
"命令功能<br",
">",
"此方法会阻塞当前线程"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L3472-L3474
|
train
|
Reads the tail of the file using the given LineHandler.
|
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/filesystem/StreamingFileSink.java
|
StreamingFileSink.initializeState
|
@Override
public void initializeState(FunctionInitializationContext context) throws Exception {
final int subtaskIndex = getRuntimeContext().getIndexOfThisSubtask();
this.buckets = bucketsBuilder.createBuckets(subtaskIndex);
final OperatorStateStore stateStore = context.getOperatorStateStore();
bucketStates = stateStore.getListState(BUCKET_STATE_DESC);
maxPartCountersState = stateStore.getUnionListState(MAX_PART_COUNTER_STATE_DESC);
if (context.isRestored()) {
buckets.initializeState(bucketStates, maxPartCountersState);
}
}
|
java
|
@Override
public void initializeState(FunctionInitializationContext context) throws Exception {
final int subtaskIndex = getRuntimeContext().getIndexOfThisSubtask();
this.buckets = bucketsBuilder.createBuckets(subtaskIndex);
final OperatorStateStore stateStore = context.getOperatorStateStore();
bucketStates = stateStore.getListState(BUCKET_STATE_DESC);
maxPartCountersState = stateStore.getUnionListState(MAX_PART_COUNTER_STATE_DESC);
if (context.isRestored()) {
buckets.initializeState(bucketStates, maxPartCountersState);
}
}
|
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] |
--------------------------- Sink Methods -----------------------------
|
[
"---------------------------",
"Sink",
"Methods",
"-----------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/filesystem/StreamingFileSink.java#L324-L336
|
train
|
Initialize the state of the operation.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/summarize/aggregation/SummaryAggregatorFactory.java
|
SummaryAggregatorFactory.create
|
@SuppressWarnings("unchecked")
public static <T, R> Aggregator<T, R> create(Class<T> type) {
if (type == Long.class) {
return (Aggregator<T, R>) new LongSummaryAggregator();
}
else if (type == LongValue.class) {
return (Aggregator<T, R>) new ValueSummaryAggregator.LongValueSummaryAggregator();
}
else if (type == Integer.class) {
return (Aggregator<T, R>) new IntegerSummaryAggregator();
}
else if (type == IntValue.class) {
return (Aggregator<T, R>) new ValueSummaryAggregator.IntegerValueSummaryAggregator();
}
else if (type == Double.class) {
return (Aggregator<T, R>) new DoubleSummaryAggregator();
}
else if (type == DoubleValue.class) {
return (Aggregator<T, R>) new ValueSummaryAggregator.DoubleValueSummaryAggregator();
}
else if (type == Float.class) {
return (Aggregator<T, R>) new FloatSummaryAggregator();
}
else if (type == FloatValue.class) {
return (Aggregator<T, R>) new ValueSummaryAggregator.FloatValueSummaryAggregator();
}
else if (type == Short.class) {
return (Aggregator<T, R>) new ShortSummaryAggregator();
}
else if (type == ShortValue.class) {
return (Aggregator<T, R>) new ValueSummaryAggregator.ShortValueSummaryAggregator();
}
else if (type == Boolean.class) {
return (Aggregator<T, R>) new BooleanSummaryAggregator();
}
else if (type == BooleanValue.class) {
return (Aggregator<T, R>) new ValueSummaryAggregator.BooleanValueSummaryAggregator();
}
else if (type == String.class) {
return (Aggregator<T, R>) new StringSummaryAggregator();
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else if (type == StringValue.class) {
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java
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@SuppressWarnings("unchecked")
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else if (type == Boolean.class) {
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else if (type == String.class) {
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else if (type == StringValue.class) {
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// rather than error for unsupported types do something very generic
return (Aggregator<T, R>) new ObjectSummaryAggregator();
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Create a SummaryAggregator for the supplied type.
@param <T> the type to aggregate
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/summarize/aggregation/SummaryAggregatorFactory.java#L53-L101
|
train
|
Creates an instance of the specified type.
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/interval/IntervalNode.java
|
IntervalNode.findOverlappingRanges
|
protected static List<Intervalable> findOverlappingRanges(IntervalNode node, Intervalable interval)
{
if (node != null)
{
return node.findOverlaps(interval);
}
return Collections.emptyList();
}
|
java
|
protected static List<Intervalable> findOverlappingRanges(IntervalNode node, Intervalable interval)
{
if (node != null)
{
return node.findOverlaps(interval);
}
return Collections.emptyList();
}
|
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是对IntervalNode.findOverlaps(Intervalable)的一个包装，防止NPE
@see com.hankcs.hanlp.algorithm.ahocorasick.interval.IntervalNode#findOverlaps(Intervalable)
@param node
@param interval
@return
|
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a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/algorithm/ahocorasick/interval/IntervalNode.java#L207-L214
|
train
|
Find overlapping ranges.
|
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java/client/src/org/openqa/selenium/interactions/touch/TouchActions.java
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TouchActions.scroll
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public TouchActions scroll(int xOffset, int yOffset) {
if (touchScreen != null) {
action.addAction(new ScrollAction(touchScreen, xOffset, yOffset));
}
return this;
}
|
java
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public TouchActions scroll(int xOffset, int yOffset) {
if (touchScreen != null) {
action.addAction(new ScrollAction(touchScreen, xOffset, yOffset));
}
return this;
}
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Allows the view to be scrolled by an x and y offset.
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@param yOffset The vertical offset relative to the viewport
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7af172729f17b20269c8ca4ea6f788db48616535
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https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/interactions/touch/TouchActions.java#L158-L163
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train
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Scroll the screen.
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apache/spark
|
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java
|
HiveSessionImplwithUGI.setSessionUGI
|
public void setSessionUGI(String owner) throws HiveSQLException {
if (owner == null) {
throw new HiveSQLException("No username provided for impersonation");
}
if (UserGroupInformation.isSecurityEnabled()) {
try {
sessionUgi = UserGroupInformation.createProxyUser(
owner, UserGroupInformation.getLoginUser());
} catch (IOException e) {
throw new HiveSQLException("Couldn't setup proxy user", e);
}
} else {
sessionUgi = UserGroupInformation.createRemoteUser(owner);
}
}
|
java
|
public void setSessionUGI(String owner) throws HiveSQLException {
if (owner == null) {
throw new HiveSQLException("No username provided for impersonation");
}
if (UserGroupInformation.isSecurityEnabled()) {
try {
sessionUgi = UserGroupInformation.createProxyUser(
owner, UserGroupInformation.getLoginUser());
} catch (IOException e) {
throw new HiveSQLException("Couldn't setup proxy user", e);
}
} else {
sessionUgi = UserGroupInformation.createRemoteUser(owner);
}
}
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setup appropriate UGI for the session
|
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java#L65-L79
|
train
|
Set the session UGI.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobGraph.java
|
JobGraph.addUserArtifact
|
public void addUserArtifact(String name, DistributedCache.DistributedCacheEntry file) {
if (file == null) {
throw new IllegalArgumentException();
}
userArtifacts.putIfAbsent(name, file);
}
|
java
|
public void addUserArtifact(String name, DistributedCache.DistributedCacheEntry file) {
if (file == null) {
throw new IllegalArgumentException();
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userArtifacts.putIfAbsent(name, file);
}
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Adds the path of a custom file required to run the job on a task manager.
@param name a name under which this artifact will be accessible through {@link DistributedCache}
@param file path of a custom file required to run the job on a task manager
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/JobGraph.java#L517-L523
|
train
|
Add a user artifact to the cache.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/reader/AbstractReader.java
|
AbstractReader.registerTaskEventListener
|
@Override
public void registerTaskEventListener(EventListener<TaskEvent> listener, Class<? extends TaskEvent> eventType) {
taskEventHandler.subscribe(listener, eventType);
}
|
java
|
@Override
public void registerTaskEventListener(EventListener<TaskEvent> listener, Class<? extends TaskEvent> eventType) {
taskEventHandler.subscribe(listener, eventType);
}
|
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/reader/AbstractReader.java#L66-L69
|
train
|
Register an event listener for the specified event type.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/watch/WatchMonitor.java
|
WatchMonitor.create
|
public static WatchMonitor create(URI uri, WatchEvent.Kind<?>... events){
return create(uri, 0, events);
}
|
java
|
public static WatchMonitor create(URI uri, WatchEvent.Kind<?>... events){
return create(uri, 0, events);
}
|
[
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"return",
"create",
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"uri",
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] |
创建并初始化监听
@param uri URI
@param events 监听的事件列表
@return 监听对象
|
[
"创建并初始化监听"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/watch/WatchMonitor.java#L109-L111
|
train
|
Creates a new watch monitor that will watch the given URI and add the given events to it.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/MemoryLogger.java
|
MemoryLogger.getGarbageCollectorStatsAsString
|
public static String getGarbageCollectorStatsAsString(List<GarbageCollectorMXBean> gcMXBeans) {
StringBuilder bld = new StringBuilder("Garbage collector stats: ");
for (GarbageCollectorMXBean bean : gcMXBeans) {
bld.append('[').append(bean.getName()).append(", GC TIME (ms): ").append(bean.getCollectionTime());
bld.append(", GC COUNT: ").append(bean.getCollectionCount()).append(']');
bld.append(", ");
}
if (!gcMXBeans.isEmpty()) {
bld.setLength(bld.length() - 2);
}
return bld.toString();
}
|
java
|
public static String getGarbageCollectorStatsAsString(List<GarbageCollectorMXBean> gcMXBeans) {
StringBuilder bld = new StringBuilder("Garbage collector stats: ");
for (GarbageCollectorMXBean bean : gcMXBeans) {
bld.append('[').append(bean.getName()).append(", GC TIME (ms): ").append(bean.getCollectionTime());
bld.append(", GC COUNT: ").append(bean.getCollectionCount()).append(']');
bld.append(", ");
}
if (!gcMXBeans.isEmpty()) {
bld.setLength(bld.length() - 2);
}
return bld.toString();
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/MemoryLogger.java#L231-L246
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train
|
Get the garbage collector stats as string.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java
|
RowTypeInfo.projectFields
|
public static RowTypeInfo projectFields(RowTypeInfo rowType, int[] fieldMapping) {
TypeInformation[] fieldTypes = new TypeInformation[fieldMapping.length];
String[] fieldNames = new String[fieldMapping.length];
for (int i = 0; i < fieldMapping.length; i++) {
fieldTypes[i] = rowType.getTypeAt(fieldMapping[i]);
fieldNames[i] = rowType.getFieldNames()[fieldMapping[i]];
}
return new RowTypeInfo(fieldTypes, fieldNames);
}
|
java
|
public static RowTypeInfo projectFields(RowTypeInfo rowType, int[] fieldMapping) {
TypeInformation[] fieldTypes = new TypeInformation[fieldMapping.length];
String[] fieldNames = new String[fieldMapping.length];
for (int i = 0; i < fieldMapping.length; i++) {
fieldTypes[i] = rowType.getTypeAt(fieldMapping[i]);
fieldNames[i] = rowType.getFieldNames()[fieldMapping[i]];
}
return new RowTypeInfo(fieldTypes, fieldNames);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java#L388-L396
|
train
|
Project the fields of the given row type and fieldMapping into a RowTypeInfo.
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apache/spark
|
core/src/main/java/org/apache/spark/io/NioBufferedFileInputStream.java
|
NioBufferedFileInputStream.refill
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private boolean refill() throws IOException {
if (!byteBuffer.hasRemaining()) {
byteBuffer.clear();
int nRead = 0;
while (nRead == 0) {
nRead = fileChannel.read(byteBuffer);
}
if (nRead < 0) {
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byteBuffer.flip();
}
return true;
}
|
java
|
private boolean refill() throws IOException {
if (!byteBuffer.hasRemaining()) {
byteBuffer.clear();
int nRead = 0;
while (nRead == 0) {
nRead = fileChannel.read(byteBuffer);
}
if (nRead < 0) {
return false;
}
byteBuffer.flip();
}
return true;
}
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Checks weather data is left to be read from the input stream.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/io/NioBufferedFileInputStream.java#L56-L69
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train
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refill the underlying file
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] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/dictionary/DictionaryMaker.java
|
DictionaryMaker.loadAsItemList
|
public static List<Item> loadAsItemList(String path)
{
List<Item> itemList = new LinkedList<Item>();
try
{
BufferedReader br = new BufferedReader(new InputStreamReader(IOAdapter == null ? new FileInputStream(path) :
IOAdapter.open(path), "UTF-8"));
String line;
while ((line = br.readLine()) != null)
{
Item item = Item.create(line);
if (item == null)
{
logger.warning("使用【" + line + "】创建Item失败");
return null;
// continue;
}
itemList.add(item);
}
}
catch (Exception e)
{
logger.warning("读取词典" + path + "发生异常" + e);
return null;
}
return itemList;
}
|
java
|
public static List<Item> loadAsItemList(String path)
{
List<Item> itemList = new LinkedList<Item>();
try
{
BufferedReader br = new BufferedReader(new InputStreamReader(IOAdapter == null ? new FileInputStream(path) :
IOAdapter.open(path), "UTF-8"));
String line;
while ((line = br.readLine()) != null)
{
Item item = Item.create(line);
if (item == null)
{
logger.warning("使用【" + line + "】创建Item失败");
return null;
// continue;
}
itemList.add(item);
}
}
catch (Exception e)
{
logger.warning("读取词典" + path + "发生异常" + e);
return null;
}
return itemList;
}
|
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读取所有条目
@param path
@return
|
[
"读取所有条目"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/dictionary/DictionaryMaker.java#L99-L126
|
train
|
Load as item list.
|
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apache/flink
|
flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java
|
Configuration.setStrings
|
public void setStrings(String name, String... values) {
set(name, StringUtils.arrayToString(values));
}
|
java
|
public void setStrings(String name, String... values) {
set(name, StringUtils.arrayToString(values));
}
|
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Set the array of string values for the <code>name</code> property as
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@param name property name.
@param values The values
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java#L2142-L2144
|
train
|
Sets the value of the specified property to the specified Strings.
|
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/spdy/SpdySession.java
|
SpdySession.hasReceivedReply
|
boolean hasReceivedReply(int streamId) {
StreamState state = activeStreams.get(streamId);
return state != null && state.hasReceivedReply();
}
|
java
|
boolean hasReceivedReply(int streamId) {
StreamState state = activeStreams.get(streamId);
return state != null && state.hasReceivedReply();
}
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/*
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no need to synchronize access to the StreamState
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/spdy/SpdySession.java#L136-L139
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train
|
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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) {
try {
CredentialEntry entry = provider.getCredentialEntry(name);
if (entry != null) {
pass = entry.getCredential();
break;
}
}
catch (IOException ioe) {
throw new IOException("Can't get key " + name + " from key provider" +
"of type: " + provider.getClass().getName() + ".", ioe);
}
}
}
}
catch (IOException ioe) {
throw new IOException("Configuration problem with provider path.", ioe);
}
return pass;
}
|
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) {
try {
CredentialEntry entry = provider.getCredentialEntry(name);
if (entry != null) {
pass = entry.getCredential();
break;
}
}
catch (IOException ioe) {
throw new IOException("Can't get key " + name + " from key provider" +
"of type: " + provider.getClass().getName() + ".", ioe);
}
}
}
}
catch (IOException ioe) {
throw new IOException("Configuration problem with provider path.", ioe);
}
return pass;
}
|
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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
|
train
|
Get the password from the credential providers.
|
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/streamstatus/StatusWatermarkValve.java
|
StatusWatermarkValve.inputWatermark
|
public void inputWatermark(Watermark watermark, int channelIndex) {
// ignore the input watermark if its input channel, or all input channels are idle (i.e. overall the valve is idle).
if (lastOutputStreamStatus.isActive() && channelStatuses[channelIndex].streamStatus.isActive()) {
long watermarkMillis = watermark.getTimestamp();
// if the input watermark's value is less than the last received watermark for its input channel, ignore it also.
if (watermarkMillis > channelStatuses[channelIndex].watermark) {
channelStatuses[channelIndex].watermark = watermarkMillis;
// previously unaligned input channels are now aligned if its watermark has caught up
if (!channelStatuses[channelIndex].isWatermarkAligned && watermarkMillis >= lastOutputWatermark) {
channelStatuses[channelIndex].isWatermarkAligned = true;
}
// now, attempt to find a new min watermark across all aligned channels
findAndOutputNewMinWatermarkAcrossAlignedChannels();
}
}
}
|
java
|
public void inputWatermark(Watermark watermark, int channelIndex) {
// ignore the input watermark if its input channel, or all input channels are idle (i.e. overall the valve is idle).
if (lastOutputStreamStatus.isActive() && channelStatuses[channelIndex].streamStatus.isActive()) {
long watermarkMillis = watermark.getTimestamp();
// if the input watermark's value is less than the last received watermark for its input channel, ignore it also.
if (watermarkMillis > channelStatuses[channelIndex].watermark) {
channelStatuses[channelIndex].watermark = watermarkMillis;
// previously unaligned input channels are now aligned if its watermark has caught up
if (!channelStatuses[channelIndex].isWatermarkAligned && watermarkMillis >= lastOutputWatermark) {
channelStatuses[channelIndex].isWatermarkAligned = true;
}
// now, attempt to find a new min watermark across all aligned channels
findAndOutputNewMinWatermarkAcrossAlignedChannels();
}
}
}
|
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Feed a {@link Watermark} into the valve. If the input triggers the valve to output a new Watermark,
{@link ValveOutputHandler#handleWatermark(Watermark)} will be called to process the new Watermark.
@param watermark the watermark to feed to the valve
@param channelIndex the index of the channel that the fed watermark belongs to (index starting from 0)
|
[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/streamstatus/StatusWatermarkValve.java#L96-L114
|
train
|
This method is called by the client when an input watermark is received for a particular channel. It will ignore the input watermark if it is not idle and all input channels are idle.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/IterUtil.java
|
IterUtil.getFirst
|
public static <T> T getFirst(Iterable<T> iterable) {
if (null != iterable) {
return getFirst(iterable.iterator());
}
return null;
}
|
java
|
public static <T> T getFirst(Iterable<T> iterable) {
if (null != iterable) {
return getFirst(iterable.iterator());
}
return null;
}
|
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获取集合的第一个元素
@param <T> 集合元素类型
@param iterable {@link Iterable}
@return 第一个元素
|
[
"获取集合的第一个元素"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/IterUtil.java#L497-L502
|
train
|
Gets the first element of the iterable.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/word/TfIdf.java
|
TfIdf.idf
|
public static <TERM> Map<TERM, Double> idf(Iterable<Iterable<TERM>> documentVocabularies,
boolean smooth, boolean addOne)
{
Map<TERM, Integer> df = new HashMap<TERM, Integer>();
int d = smooth ? 1 : 0;
int a = addOne ? 1 : 0;
int n = d;
for (Iterable<TERM> documentVocabulary : documentVocabularies)
{
n += 1;
for (TERM term : documentVocabulary)
{
Integer t = df.get(term);
if (t == null) t = d;
df.put(term, t + 1);
}
}
Map<TERM, Double> idf = new HashMap<TERM, Double>();
for (Map.Entry<TERM, Integer> e : df.entrySet())
{
TERM term = e.getKey();
double f = e.getValue();
idf.put(term, Math.log(n / f) + a);
}
return idf;
}
|
java
|
public static <TERM> Map<TERM, Double> idf(Iterable<Iterable<TERM>> documentVocabularies,
boolean smooth, boolean addOne)
{
Map<TERM, Integer> df = new HashMap<TERM, Integer>();
int d = smooth ? 1 : 0;
int a = addOne ? 1 : 0;
int n = d;
for (Iterable<TERM> documentVocabulary : documentVocabularies)
{
n += 1;
for (TERM term : documentVocabulary)
{
Integer t = df.get(term);
if (t == null) t = d;
df.put(term, t + 1);
}
}
Map<TERM, Double> idf = new HashMap<TERM, Double>();
for (Map.Entry<TERM, Integer> e : df.entrySet())
{
TERM term = e.getKey();
double f = e.getValue();
idf.put(term, Math.log(n / f) + a);
}
return idf;
}
|
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一系列文档的倒排词频
@param documentVocabularies 词表
@param smooth 平滑参数，视作额外有一个文档，该文档含有smooth个每个词语
@param addOne tf-idf加一平滑
@param <TERM> 词语类型
@return 一个词语->倒排文档的Map
|
[
"一系列文档的倒排词频"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/word/TfIdf.java#L132-L157
|
train
|
Get a map of term - > value pairs for a Sequence.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/slotmanager/SlotManager.java
|
SlotManager.handleFreeSlot
|
private void handleFreeSlot(TaskManagerSlot freeSlot) {
Preconditions.checkState(freeSlot.getState() == TaskManagerSlot.State.FREE);
PendingSlotRequest pendingSlotRequest = findMatchingRequest(freeSlot.getResourceProfile());
if (null != pendingSlotRequest) {
allocateSlot(freeSlot, pendingSlotRequest);
} else {
freeSlots.put(freeSlot.getSlotId(), freeSlot);
}
}
|
java
|
private void handleFreeSlot(TaskManagerSlot freeSlot) {
Preconditions.checkState(freeSlot.getState() == TaskManagerSlot.State.FREE);
PendingSlotRequest pendingSlotRequest = findMatchingRequest(freeSlot.getResourceProfile());
if (null != pendingSlotRequest) {
allocateSlot(freeSlot, pendingSlotRequest);
} else {
freeSlots.put(freeSlot.getSlotId(), freeSlot);
}
}
|
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Handles a free slot. It first tries to find a pending slot request which can be fulfilled.
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@param freeSlot to find a new slot request for
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/slotmanager/SlotManager.java#L850-L860
|
train
|
Handles a free slot event.
|
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alibaba/canal
|
parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/local/BinLogFileQueue.java
|
BinLogFileQueue.getNextFile
|
public File getNextFile(File pre) {
try {
lock.lockInterruptibly();
if (exception != null) {
throw exception;
}
if (binlogs.size() == 0) {
return null;
} else {
if (pre == null) {// 第一次
return binlogs.get(0);
} else {
int index = seek(pre);
if (index < binlogs.size() - 1) {
return binlogs.get(index + 1);
} else {
return null;
}
}
}
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
return null;
} finally {
lock.unlock();
}
}
|
java
|
public File getNextFile(File pre) {
try {
lock.lockInterruptibly();
if (exception != null) {
throw exception;
}
if (binlogs.size() == 0) {
return null;
} else {
if (pre == null) {// 第一次
return binlogs.get(0);
} else {
int index = seek(pre);
if (index < binlogs.size() - 1) {
return binlogs.get(index + 1);
} else {
return null;
}
}
}
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
return null;
} finally {
lock.unlock();
}
}
|
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] |
根据前一个文件，获取符合条件的下一个binlog文件
@param pre
@return
|
[
"根据前一个文件，获取符合条件的下一个binlog文件"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/local/BinLogFileQueue.java#L85-L112
|
train
|
Gets the next file in the list.
|
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.getLong64
|
public final long getLong64(final int pos) {
final int position = origin + pos;
if (pos + 7 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 7)));
byte[] buf = buffer;
return ((long) (0xff & buf[position])) | ((long) (0xff & buf[position + 1]) << 8)
| ((long) (0xff & buf[position + 2]) << 16) | ((long) (0xff & buf[position + 3]) << 24)
| ((long) (0xff & buf[position + 4]) << 32) | ((long) (0xff & buf[position + 5]) << 40)
| ((long) (0xff & buf[position + 6]) << 48) | ((long) (buf[position + 7]) << 56);
}
|
java
|
public final long getLong64(final int pos) {
final int position = origin + pos;
if (pos + 7 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 7)));
byte[] buf = buffer;
return ((long) (0xff & buf[position])) | ((long) (0xff & buf[position + 1]) << 8)
| ((long) (0xff & buf[position + 2]) << 16) | ((long) (0xff & buf[position + 3]) << 24)
| ((long) (0xff & buf[position + 4]) << 32) | ((long) (0xff & buf[position + 5]) << 40)
| ((long) (0xff & buf[position + 6]) << 48) | ((long) (buf[position + 7]) << 56);
}
|
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Return 64-bit signed long from buffer. (little-endian)
@see mysql-5.1.60/include/my_global.h - sint8korr
|
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8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L837-L848
|
train
|
Gets a 64 - bit long from the buffer.
|
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/webservice/SoapClient.java
|
SoapClient.setMethod
|
public SoapClient setMethod(String methodName, String namespaceURI) {
final List<String> methodNameList = StrUtil.split(methodName, ':');
final QName qName;
if (2 == methodNameList.size()) {
qName = new QName(namespaceURI, methodNameList.get(1), methodNameList.get(0));
} else {
qName = new QName(namespaceURI, methodName);
}
return setMethod(qName);
}
|
java
|
public SoapClient setMethod(String methodName, String namespaceURI) {
final List<String> methodNameList = StrUtil.split(methodName, ':');
final QName qName;
if (2 == methodNameList.size()) {
qName = new QName(namespaceURI, methodNameList.get(1), methodNameList.get(0));
} else {
qName = new QName(namespaceURI, methodName);
}
return setMethod(qName);
}
|
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设置请求方法<br>
方法名自动识别前缀，前缀和方法名使用“:”分隔<br>
当识别到前缀后，自动添加xmlns属性，关联到传入的namespaceURI
@param methodName 方法名（可有前缀也可无）
@param namespaceURI 命名空间URI
@return this
|
[
"设置请求方法<br",
">",
"方法名自动识别前缀，前缀和方法名使用“",
":",
"”分隔<br",
">",
"当识别到前缀后，自动添加xmlns属性，关联到传入的namespaceURI"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/webservice/SoapClient.java#L268-L277
|
train
|
Sets the method name and namespace URI.
|
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networknt/light-4j
|
client/src/main/java/com/networknt/client/http/Light4jHttpClientProvider.java
|
Light4jHttpClientProvider.createHttpClientConnection
|
private ClientConnection createHttpClientConnection(final StreamConnection connection, final OptionMap options, final ByteBufferPool bufferPool) {
try {
Class<?> cls = Class.forName("io.undertow.client.http.HttpClientConnection");
Constructor<?> o = cls.getDeclaredConstructor(StreamConnection.class, OptionMap.class, ByteBufferPool.class);
o.setAccessible(true);
return (ClientConnection) o.newInstance(connection, options, bufferPool);
}catch(Exception e) {
logger.error(e.getMessage(), e);
}
return null;
}
|
java
|
private ClientConnection createHttpClientConnection(final StreamConnection connection, final OptionMap options, final ByteBufferPool bufferPool) {
try {
Class<?> cls = Class.forName("io.undertow.client.http.HttpClientConnection");
Constructor<?> o = cls.getDeclaredConstructor(StreamConnection.class, OptionMap.class, ByteBufferPool.class);
o.setAccessible(true);
return (ClientConnection) o.newInstance(connection, options, bufferPool);
}catch(Exception e) {
logger.error(e.getMessage(), e);
}
return null;
}
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/*
Create instances of "io.undertow.client.http.HttpClientConnection" using reflections
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/client/src/main/java/com/networknt/client/http/Light4jHttpClientProvider.java#L175-L189
|
train
|
Creates a new HTTP client connection.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/backpressure/BackPressureStatsTrackerImpl.java
|
BackPressureStatsTrackerImpl.triggerStackTraceSampleInternal
|
private boolean triggerStackTraceSampleInternal(final ExecutionJobVertex vertex) {
assert(Thread.holdsLock(lock));
if (shutDown) {
return false;
}
if (!pendingStats.contains(vertex) &&
!vertex.getGraph().getState().isGloballyTerminalState()) {
Executor executor = vertex.getGraph().getFutureExecutor();
// Only trigger if still active job
if (executor != null) {
pendingStats.add(vertex);
if (LOG.isDebugEnabled()) {
LOG.debug("Triggering stack trace sample for tasks: " + Arrays.toString(vertex.getTaskVertices()));
}
CompletableFuture<StackTraceSample> sample = coordinator.triggerStackTraceSample(
vertex.getTaskVertices(),
numSamples,
delayBetweenSamples,
MAX_STACK_TRACE_DEPTH);
sample.handleAsync(new StackTraceSampleCompletionCallback(vertex), executor);
return true;
}
}
return false;
}
|
java
|
private boolean triggerStackTraceSampleInternal(final ExecutionJobVertex vertex) {
assert(Thread.holdsLock(lock));
if (shutDown) {
return false;
}
if (!pendingStats.contains(vertex) &&
!vertex.getGraph().getState().isGloballyTerminalState()) {
Executor executor = vertex.getGraph().getFutureExecutor();
// Only trigger if still active job
if (executor != null) {
pendingStats.add(vertex);
if (LOG.isDebugEnabled()) {
LOG.debug("Triggering stack trace sample for tasks: " + Arrays.toString(vertex.getTaskVertices()));
}
CompletableFuture<StackTraceSample> sample = coordinator.triggerStackTraceSample(
vertex.getTaskVertices(),
numSamples,
delayBetweenSamples,
MAX_STACK_TRACE_DEPTH);
sample.handleAsync(new StackTraceSampleCompletionCallback(vertex), executor);
return true;
}
}
return false;
}
|
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] |
Triggers a stack trace sample for a operator to gather the back pressure
statistics. If there is a sample in progress for the operator, the call
is ignored.
@param vertex Operator to get the stats for.
@return Flag indicating whether a sample with triggered.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/backpressure/BackPressureStatsTrackerImpl.java#L174-L207
|
train
|
Trigger a stack trace sample for a given execution job vertex.
|
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apache/flink
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flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/io/HeaderlessChannelWriterOutputView.java
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HeaderlessChannelWriterOutputView.close
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java
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@Override
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/watch/WatchMonitor.java
|
WatchMonitor.registerPath
|
private void registerPath(Path path, int maxDepth) {
try {
final WatchKey key = path.register(watchService, ArrayUtil.isEmpty(this.events) ? EVENTS_ALL : this.events);
watchKeyPathMap.put(key, path);
if(maxDepth > 1) {
//遍历所有子目录并加入监听
Files.walkFileTree(path, EnumSet.noneOf(FileVisitOption.class), maxDepth, new SimpleFileVisitor<Path>(){
@Override
public FileVisitResult postVisitDirectory(Path dir, IOException exc) throws IOException {
registerPath(dir, 0);//继续添加目录
return super.postVisitDirectory(dir, exc);
}
});
}
} catch (IOException e) {
if(e instanceof AccessDeniedException) {
//对于禁止访问的目录，跳过监听
return;
}
throw new WatchException(e);
}
}
|
java
|
private void registerPath(Path path, int maxDepth) {
try {
final WatchKey key = path.register(watchService, ArrayUtil.isEmpty(this.events) ? EVENTS_ALL : this.events);
watchKeyPathMap.put(key, path);
if(maxDepth > 1) {
//遍历所有子目录并加入监听
Files.walkFileTree(path, EnumSet.noneOf(FileVisitOption.class), maxDepth, new SimpleFileVisitor<Path>(){
@Override
public FileVisitResult postVisitDirectory(Path dir, IOException exc) throws IOException {
registerPath(dir, 0);//继续添加目录
return super.postVisitDirectory(dir, exc);
}
});
}
} catch (IOException e) {
if(e instanceof AccessDeniedException) {
//对于禁止访问的目录，跳过监听
return;
}
throw new WatchException(e);
}
}
|
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] |
将指定路径加入到监听中
@param path 路径
@param maxDepth 递归下层目录的最大深度
@return {@link WatchKey}
|
[
"将指定路径加入到监听中"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/watch/WatchMonitor.java#L447-L468
|
train
|
Register a path with the watch service.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/DbUtil.java
|
DbUtil.close
|
public static void close(Object... objsToClose) {
for (Object obj : objsToClose) {
if (obj instanceof AutoCloseable) {
IoUtil.close((AutoCloseable) obj);
} else if (obj instanceof Closeable) {
IoUtil.close((Closeable) obj);
} else {
try {
if (obj != null) {
if (obj instanceof ResultSet) {
((ResultSet) obj).close();
} else if (obj instanceof Statement) {
((Statement) obj).close();
} else if (obj instanceof PreparedStatement) {
((PreparedStatement) obj).close();
} else if (obj instanceof Connection) {
((Connection) obj).close();
} else {
log.warn("Object {} not a ResultSet or Statement or PreparedStatement or Connection!", obj.getClass().getName());
}
}
} catch (SQLException e) {
// ignore
}
}
}
}
|
java
|
public static void close(Object... objsToClose) {
for (Object obj : objsToClose) {
if (obj instanceof AutoCloseable) {
IoUtil.close((AutoCloseable) obj);
} else if (obj instanceof Closeable) {
IoUtil.close((Closeable) obj);
} else {
try {
if (obj != null) {
if (obj instanceof ResultSet) {
((ResultSet) obj).close();
} else if (obj instanceof Statement) {
((Statement) obj).close();
} else if (obj instanceof PreparedStatement) {
((PreparedStatement) obj).close();
} else if (obj instanceof Connection) {
((Connection) obj).close();
} else {
log.warn("Object {} not a ResultSet or Statement or PreparedStatement or Connection!", obj.getClass().getName());
}
}
} catch (SQLException e) {
// ignore
}
}
}
}
|
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] |
连续关闭一系列的SQL相关对象<br>
这些对象必须按照顺序关闭，否则会出错。
@param objsToClose 需要关闭的对象
|
[
"连续关闭一系列的SQL相关对象<br",
">",
"这些对象必须按照顺序关闭，否则会出错。"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/DbUtil.java#L155-L181
|
train
|
Close the specified objects.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot-tools/spring-boot-loader-tools/src/main/java/org/springframework/boot/loader/tools/MainClassFinder.java
|
MainClassFinder.findMainClass
|
public static String findMainClass(JarFile jarFile, String classesLocation)
throws IOException {
return doWithMainClasses(jarFile, classesLocation, MainClass::getName);
}
|
java
|
public static String findMainClass(JarFile jarFile, String classesLocation)
throws IOException {
return doWithMainClasses(jarFile, classesLocation, MainClass::getName);
}
|
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@param jarFile the jar file to search
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@return the main class or {@code null}
@throws IOException if the jar file cannot be read
|
[
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-tools/spring-boot-loader-tools/src/main/java/org/springframework/boot/loader/tools/MainClassFinder.java#L173-L176
|
train
|
Find the main class name from the given JAR file.
|
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netty/netty
|
transport/src/main/java/io/netty/channel/socket/nio/NioDatagramChannel.java
|
NioDatagramChannel.block
|
@Override
public ChannelFuture block(
InetAddress multicastAddress, NetworkInterface networkInterface,
InetAddress sourceToBlock, ChannelPromise promise) {
checkJavaVersion();
if (multicastAddress == null) {
throw new NullPointerException("multicastAddress");
}
if (sourceToBlock == null) {
throw new NullPointerException("sourceToBlock");
}
if (networkInterface == null) {
throw new NullPointerException("networkInterface");
}
synchronized (this) {
if (memberships != null) {
List<MembershipKey> keys = memberships.get(multicastAddress);
for (MembershipKey key: keys) {
if (networkInterface.equals(key.networkInterface())) {
try {
key.block(sourceToBlock);
} catch (IOException e) {
promise.setFailure(e);
}
}
}
}
}
promise.setSuccess();
return promise;
}
|
java
|
@Override
public ChannelFuture block(
InetAddress multicastAddress, NetworkInterface networkInterface,
InetAddress sourceToBlock, ChannelPromise promise) {
checkJavaVersion();
if (multicastAddress == null) {
throw new NullPointerException("multicastAddress");
}
if (sourceToBlock == null) {
throw new NullPointerException("sourceToBlock");
}
if (networkInterface == null) {
throw new NullPointerException("networkInterface");
}
synchronized (this) {
if (memberships != null) {
List<MembershipKey> keys = memberships.get(multicastAddress);
for (MembershipKey key: keys) {
if (networkInterface.equals(key.networkInterface())) {
try {
key.block(sourceToBlock);
} catch (IOException e) {
promise.setFailure(e);
}
}
}
}
}
promise.setSuccess();
return promise;
}
|
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Block the given sourceToBlock address for the given multicastAddress on the given networkInterface
|
[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/socket/nio/NioDatagramChannel.java#L531-L563
|
train
|
Block the specified multicast address and network interface.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/RuntimeUtil.java
|
RuntimeUtil.exec
|
public static Process exec(String... cmds) {
if (ArrayUtil.isEmpty(cmds)) {
throw new NullPointerException("Command is empty !");
}
// 单条命令的情况
if (1 == cmds.length) {
final String cmd = cmds[0];
if (StrUtil.isBlank(cmd)) {
throw new NullPointerException("Command is empty !");
}
cmds = StrUtil.splitToArray(cmd, StrUtil.C_SPACE);
}
Process process;
try {
process = new ProcessBuilder(cmds).redirectErrorStream(true).start();
} catch (IOException e) {
throw new IORuntimeException(e);
}
return process;
}
|
java
|
public static Process exec(String... cmds) {
if (ArrayUtil.isEmpty(cmds)) {
throw new NullPointerException("Command is empty !");
}
// 单条命令的情况
if (1 == cmds.length) {
final String cmd = cmds[0];
if (StrUtil.isBlank(cmd)) {
throw new NullPointerException("Command is empty !");
}
cmds = StrUtil.splitToArray(cmd, StrUtil.C_SPACE);
}
Process process;
try {
process = new ProcessBuilder(cmds).redirectErrorStream(true).start();
} catch (IOException e) {
throw new IORuntimeException(e);
}
return process;
}
|
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执行命令<br>
命令带参数时参数可作为其中一个参数，也可以将命令和参数组合为一个字符串传入
@param cmds 命令
@return {@link Process}
|
[
"执行命令<br",
">",
"命令带参数时参数可作为其中一个参数，也可以将命令和参数组合为一个字符串传入"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/RuntimeUtil.java#L76-L97
|
train
|
Executes a command on the system.
|
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flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java
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Configuration.getTrimmed
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public String getTrimmed(String name, String defaultValue) {
String ret = getTrimmed(name);
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java
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public String getTrimmed(String name, String defaultValue) {
String ret = getTrimmed(name);
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Get the value of the <code>name</code> property as a trimmed <code>String</code>,
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-fs-hadoop-shaded/src/main/java/org/apache/hadoop/conf/Configuration.java#L1148-L1151
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train
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Returns the value of the property with the given name trimmed.
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alibaba/canal
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dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/event/RowsLogBuffer.java
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RowsLogBuffer.nextValue
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public final Serializable nextValue(final String columName, final int columnIndex, final int type, final int meta) {
return nextValue(columName, columnIndex, type, meta, false);
}
|
java
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public final Serializable nextValue(final String columName, final int columnIndex, final int type, final int meta) {
return nextValue(columName, columnIndex, type, meta, false);
}
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Extracting next field value from packed buffer.
@see mysql-5.1.60/sql/log_event.cc -
Rows_log_event::print_verbose_one_row
|
[
"Extracting",
"next",
"field",
"value",
"from",
"packed",
"buffer",
"."
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/event/RowsLogBuffer.java#L104-L106
|
train
|
Gets the next value from the database.
|
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/support/ui/FluentWait.java
|
FluentWait.until
|
@Override
public <V> V until(Function<? super T, V> isTrue) {
Instant end = clock.instant().plus(timeout);
Throwable lastException;
while (true) {
try {
V value = isTrue.apply(input);
if (value != null && (Boolean.class != value.getClass() || Boolean.TRUE.equals(value))) {
return value;
}
// Clear the last exception; if another retry or timeout exception would
// be caused by a false or null value, the last exception is not the
// cause of the timeout.
lastException = null;
} catch (Throwable e) {
lastException = propagateIfNotIgnored(e);
}
// Check the timeout after evaluating the function to ensure conditions
// with a zero timeout can succeed.
if (end.isBefore(clock.instant())) {
String message = messageSupplier != null ?
messageSupplier.get() : null;
String timeoutMessage = String.format(
"Expected condition failed: %s (tried for %d second(s) with %d milliseconds interval)",
message == null ? "waiting for " + isTrue : message,
timeout.getSeconds(), interval.toMillis());
throw timeoutException(timeoutMessage, lastException);
}
try {
sleeper.sleep(interval);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw new WebDriverException(e);
}
}
}
|
java
|
@Override
public <V> V until(Function<? super T, V> isTrue) {
Instant end = clock.instant().plus(timeout);
Throwable lastException;
while (true) {
try {
V value = isTrue.apply(input);
if (value != null && (Boolean.class != value.getClass() || Boolean.TRUE.equals(value))) {
return value;
}
// Clear the last exception; if another retry or timeout exception would
// be caused by a false or null value, the last exception is not the
// cause of the timeout.
lastException = null;
} catch (Throwable e) {
lastException = propagateIfNotIgnored(e);
}
// Check the timeout after evaluating the function to ensure conditions
// with a zero timeout can succeed.
if (end.isBefore(clock.instant())) {
String message = messageSupplier != null ?
messageSupplier.get() : null;
String timeoutMessage = String.format(
"Expected condition failed: %s (tried for %d second(s) with %d milliseconds interval)",
message == null ? "waiting for " + isTrue : message,
timeout.getSeconds(), interval.toMillis());
throw timeoutException(timeoutMessage, lastException);
}
try {
sleeper.sleep(interval);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw new WebDriverException(e);
}
}
}
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Repeatedly applies this instance's input value to the given function until one of the following
occurs:
<ol>
<li>the function returns neither null nor false</li>
<li>the function throws an unignored exception</li>
<li>the timeout expires</li>
<li>the current thread is interrupted</li>
</ol>
@param isTrue the parameter to pass to the {@link ExpectedCondition}
@param <V> The function's expected return type.
@return The function's return value if the function returned something different
from null or false before the timeout expired.
@throws TimeoutException If the timeout expires.
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/support/ui/FluentWait.java#L204-L244
|
train
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Wait until the condition is true.
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/java/tuple/Tuple7.java
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Tuple7.copy
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@Override
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java
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@Override
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/OpenSslX509KeyManagerFactory.java
|
OpenSslX509KeyManagerFactory.newEngineBased
|
public static OpenSslX509KeyManagerFactory newEngineBased(X509Certificate[] certificateChain, String password)
throws CertificateException, IOException,
KeyStoreException, NoSuchAlgorithmException, UnrecoverableKeyException {
KeyStore store = new OpenSslKeyStore(certificateChain.clone(), false);
store.load(null, null);
OpenSslX509KeyManagerFactory factory = new OpenSslX509KeyManagerFactory();
factory.init(store, password == null ? null : password.toCharArray());
return factory;
}
|
java
|
public static OpenSslX509KeyManagerFactory newEngineBased(X509Certificate[] certificateChain, String password)
throws CertificateException, IOException,
KeyStoreException, NoSuchAlgorithmException, UnrecoverableKeyException {
KeyStore store = new OpenSslKeyStore(certificateChain.clone(), false);
store.load(null, null);
OpenSslX509KeyManagerFactory factory = new OpenSslX509KeyManagerFactory();
factory.init(store, password == null ? null : password.toCharArray());
return factory;
}
|
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Create a new initialized {@link OpenSslX509KeyManagerFactory} which loads its {@link PrivateKey} directly from
an {@code OpenSSL engine} via the
<a href="https://www.openssl.org/docs/man1.1.0/crypto/ENGINE_load_private_key.html">ENGINE_load_private_key</a>
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|
[
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/OpenSslX509KeyManagerFactory.java#L252-L260
|
train
|
Create an OpenSslX509KeyManagerFactory that will create a new SSLEngine based X509KeyManagerFactory.
|
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/ssh/Sftp.java
|
Sftp.init
|
public void init(ChannelSftp channel, Charset charset) {
this.charset = charset;
try {
channel.setFilenameEncoding(charset.toString());
} catch (SftpException e) {
throw new JschRuntimeException(e);
}
this.channel = channel;
}
|
java
|
public void init(ChannelSftp channel, Charset charset) {
this.charset = charset;
try {
channel.setFilenameEncoding(charset.toString());
} catch (SftpException e) {
throw new JschRuntimeException(e);
}
this.channel = channel;
}
|
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初始化
@param channel {@link ChannelSftp}
@param charset 编码
|
[
"初始化"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/ssh/Sftp.java#L131-L139
|
train
|
Initializes the handle.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
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CollUtil.newCopyOnWriteArrayList
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public static <T> CopyOnWriteArrayList<T> newCopyOnWriteArrayList(Collection<T> collection) {
return (null == collection) ? (new CopyOnWriteArrayList<T>()) : (new CopyOnWriteArrayList<T>(collection));
}
|
java
|
public static <T> CopyOnWriteArrayList<T> newCopyOnWriteArrayList(Collection<T> collection) {
return (null == collection) ? (new CopyOnWriteArrayList<T>()) : (new CopyOnWriteArrayList<T>(collection));
}
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";",
"}"
] |
新建一个CopyOnWriteArrayList
@param <T> 集合元素类型
@param collection 集合
@return {@link CopyOnWriteArrayList}
|
[
"新建一个CopyOnWriteArrayList"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L706-L708
|
train
|
Creates a new instance of CopyOnWriteArrayList<T >.
|
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30526
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/system/ApplicationTemp.java
|
ApplicationTemp.getDir
|
public File getDir(String subDir) {
File dir = new File(getDir(), subDir);
dir.mkdirs();
return dir;
}
|
java
|
public File getDir(String subDir) {
File dir = new File(getDir(), subDir);
dir.mkdirs();
return dir;
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Return a sub-directory of the application temp.
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@return a sub-directory
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/system/ApplicationTemp.java#L66-L70
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train
|
Get a directory with the specified sub - directory.
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobMaster.java
|
JobMaster.suspend
|
public CompletableFuture<Acknowledge> suspend(final Exception cause) {
CompletableFuture<Acknowledge> suspendFuture = callAsyncWithoutFencing(
() -> suspendExecution(cause),
RpcUtils.INF_TIMEOUT);
return suspendFuture.whenComplete((acknowledge, throwable) -> stop());
}
|
java
|
public CompletableFuture<Acknowledge> suspend(final Exception cause) {
CompletableFuture<Acknowledge> suspendFuture = callAsyncWithoutFencing(
() -> suspendExecution(cause),
RpcUtils.INF_TIMEOUT);
return suspendFuture.whenComplete((acknowledge, throwable) -> stop());
}
|
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Suspending job, all the running tasks will be cancelled, and communication with other components
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<p>Mostly job is suspended because of the leadership has been revoked, one can be restart this job by
calling the {@link #start(JobMasterId)} method once we take the leadership back again.
<p>This method is executed asynchronously
@param cause The reason of why this job been suspended.
@return Future acknowledge indicating that the job has been suspended. Otherwise the future contains an exception
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/JobMaster.java#L323-L329
|
train
|
Suspend the execution of the cluster.
|
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java
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ConnectedStreams.keyBy
|
public ConnectedStreams<IN1, IN2> keyBy(String[] fields1, String[] fields2) {
return new ConnectedStreams<>(environment, inputStream1.keyBy(fields1),
inputStream2.keyBy(fields2));
}
|
java
|
public ConnectedStreams<IN1, IN2> keyBy(String[] fields1, String[] fields2) {
return new ConnectedStreams<>(environment, inputStream1.keyBy(fields1),
inputStream2.keyBy(fields2));
}
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KeyBy operation for connected data stream using key expressions.
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@param fields1
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@param fields2
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@return The grouped {@link ConnectedStreams}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/ConnectedStreams.java#L174-L177
|
train
|
KeyBy operation for connected data stream.
|
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netty/netty
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codec/src/main/java/io/netty/handler/codec/compression/Snappy.java
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Snappy.bitsToEncode
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private static int bitsToEncode(int value) {
int highestOneBit = Integer.highestOneBit(value);
int bitLength = 0;
while ((highestOneBit >>= 1) != 0) {
bitLength++;
}
return bitLength;
}
|
java
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private static int bitsToEncode(int value) {
int highestOneBit = Integer.highestOneBit(value);
int bitLength = 0;
while ((highestOneBit >>= 1) != 0) {
bitLength++;
}
return bitLength;
}
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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train
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/heartbeat/HeartbeatManagerImpl.java
|
HeartbeatManagerImpl.receiveHeartbeat
|
@Override
public void receiveHeartbeat(ResourceID heartbeatOrigin, I heartbeatPayload) {
if (!stopped) {
log.debug("Received heartbeat from {}.", heartbeatOrigin);
reportHeartbeat(heartbeatOrigin);
if (heartbeatPayload != null) {
heartbeatListener.reportPayload(heartbeatOrigin, heartbeatPayload);
}
}
}
|
java
|
@Override
public void receiveHeartbeat(ResourceID heartbeatOrigin, I heartbeatPayload) {
if (!stopped) {
log.debug("Received heartbeat from {}.", heartbeatOrigin);
reportHeartbeat(heartbeatOrigin);
if (heartbeatPayload != null) {
heartbeatListener.reportPayload(heartbeatOrigin, heartbeatPayload);
}
}
}
|
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] |
----------------------------------------------------------------------------------------------
|
[
"----------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/heartbeat/HeartbeatManagerImpl.java#L181-L191
|
train
|
Receives a heartbeat from the cluster.
|
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alibaba/canal
|
server/src/main/java/com/alibaba/otter/canal/server/embedded/CanalServerWithEmbedded.java
|
CanalServerWithEmbedded.getWithoutAck
|
@Override
public Message getWithoutAck(ClientIdentity clientIdentity, int batchSize) throws CanalServerException {
return getWithoutAck(clientIdentity, batchSize, null, null);
}
|
java
|
@Override
public Message getWithoutAck(ClientIdentity clientIdentity, int batchSize) throws CanalServerException {
return getWithoutAck(clientIdentity, batchSize, null, null);
}
|
[
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"Override",
"public",
"Message",
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] |
不指定 position 获取事件。canal 会记住此 client 最新的 position。 <br/>
如果是第一次 fetch，则会从 canal 中保存的最老一条数据开始输出。
<pre>
注意： meta获取和数据的获取需要保证顺序性，优先拿到meta的，一定也会是优先拿到数据，所以需要加同步. (不能出现先拿到meta，拿到第二批数据，这样就会导致数据顺序性出现问题)
</pre>
|
[
"不指定",
"position",
"获取事件。canal",
"会记住此",
"client",
"最新的",
"position。",
"<br",
"/",
">",
"如果是第一次",
"fetch，则会从",
"canal",
"中保存的最老一条数据开始输出。"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/server/src/main/java/com/alibaba/otter/canal/server/embedded/CanalServerWithEmbedded.java#L288-L291
|
train
|
Gets the message without an ack.
|
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java
|
SecureUtil.sign
|
public static Sign sign(SignAlgorithm algorithm, String privateKeyBase64, String publicKeyBase64) {
return new Sign(algorithm, privateKeyBase64, publicKeyBase64);
}
|
java
|
public static Sign sign(SignAlgorithm algorithm, String privateKeyBase64, String publicKeyBase64) {
return new Sign(algorithm, privateKeyBase64, publicKeyBase64);
}
|
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创建签名算法对象<br>
私钥和公钥同时为空时生成一对新的私钥和公钥<br>
私钥和公钥可以单独传入一个，如此则只能使用此钥匙来做签名或验证
@param algorithm 签名算法
@param privateKeyBase64 私钥Base64
@param publicKeyBase64 公钥Base64
@return {@link Sign}
@since 3.3.0
|
[
"创建签名算法对象<br",
">",
"私钥和公钥同时为空时生成一对新的私钥和公钥<br",
">",
"私钥和公钥可以单独传入一个，如此则只能使用此钥匙来做签名或验证"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L803-L805
|
train
|
Creates a sign object with the specified algorithm private key and public key base64 encoded string.
|
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30526
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/StringUtils.java
|
StringUtils.concatenateWithAnd
|
@Nullable
public static String concatenateWithAnd(@Nullable String s1, @Nullable String s2) {
if (s1 != null) {
return s2 == null ? s1 : s1 + " and " + s2;
}
else {
return s2;
}
}
|
java
|
@Nullable
public static String concatenateWithAnd(@Nullable String s1, @Nullable String s2) {
if (s1 != null) {
return s2 == null ? s1 : s1 + " and " + s2;
}
else {
return s2;
}
}
|
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If both string arguments are non-null, this method concatenates them with ' and '.
If only one of the arguments is non-null, this method returns the non-null argument.
If both arguments are null, this method returns null.
@param s1 The first string argument
@param s2 The second string argument
@return The concatenated string, or non-null argument, or null
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/StringUtils.java#L376-L384
|
train
|
Concatenate two strings.
|
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/CompressorHttp2ConnectionEncoder.java
|
CompressorHttp2ConnectionEncoder.nextReadableBuf
|
private static ByteBuf nextReadableBuf(EmbeddedChannel compressor) {
for (;;) {
final ByteBuf buf = compressor.readOutbound();
if (buf == null) {
return null;
}
if (!buf.isReadable()) {
buf.release();
continue;
}
return buf;
}
}
|
java
|
private static ByteBuf nextReadableBuf(EmbeddedChannel compressor) {
for (;;) {
final ByteBuf buf = compressor.readOutbound();
if (buf == null) {
return null;
}
if (!buf.isReadable()) {
buf.release();
continue;
}
return buf;
}
}
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/CompressorHttp2ConnectionEncoder.java#L306-L318
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train
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Read the next readable ByteBuf from the given channel.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java
|
BeanUtil.beanToMap
|
public static Map<String, Object> beanToMap(Object bean) {
return beanToMap(bean, false, false);
}
|
java
|
public static Map<String, Object> beanToMap(Object bean) {
return beanToMap(bean, false, false);
}
|
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对象转Map，不进行驼峰转下划线，不忽略值为空的字段
@param bean bean对象
@return Map
|
[
"对象转Map，不进行驼峰转下划线，不忽略值为空的字段"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java#L485-L487
|
train
|
Converts a bean to a map.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/swing/DesktopUtil.java
|
DesktopUtil.mail
|
public static void mail(String mailAddress) {
final Desktop dsktop = getDsktop();
try {
dsktop.mail(URLUtil.toURI(mailAddress));
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
java
|
public static void mail(String mailAddress) {
final Desktop dsktop = getDsktop();
try {
dsktop.mail(URLUtil.toURI(mailAddress));
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
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使用平台默认浏览器打开指定URL地址
@param mailAddress 邮件地址
|
[
"使用平台默认浏览器打开指定URL地址"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/swing/DesktopUtil.java#L89-L96
|
train
|
Creates a mail message with the specified address.
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/hashtable/BinaryHashTable.java
|
BinaryHashTable.tryProbe
|
public boolean tryProbe(BaseRow record) throws IOException {
if (!this.probeIterator.hasSource()) {
// set the current probe value when probeIterator is null at the begging.
this.probeIterator.setInstance(record);
}
// calculate the hash
BinaryRow probeKey = probeSideProjection.apply(record);
final int hash = hash(probeKey.hashCode(), this.currentRecursionDepth);
BinaryHashPartition p = this.partitionsBeingBuilt.get(hash % partitionsBeingBuilt.size());
// for an in-memory partition, process set the return iterators, else spill the probe records
if (p.isInMemory()) {
this.probeKey = probeKey;
this.probeRow = record;
p.bucketArea.startLookup(hash);
return true;
} else {
if (p.testHashBloomFilter(hash)) {
BinaryRow row = originProbeSideSerializer.baseRowToBinary(record);
p.insertIntoProbeBuffer(row);
}
return false;
}
}
|
java
|
public boolean tryProbe(BaseRow record) throws IOException {
if (!this.probeIterator.hasSource()) {
// set the current probe value when probeIterator is null at the begging.
this.probeIterator.setInstance(record);
}
// calculate the hash
BinaryRow probeKey = probeSideProjection.apply(record);
final int hash = hash(probeKey.hashCode(), this.currentRecursionDepth);
BinaryHashPartition p = this.partitionsBeingBuilt.get(hash % partitionsBeingBuilt.size());
// for an in-memory partition, process set the return iterators, else spill the probe records
if (p.isInMemory()) {
this.probeKey = probeKey;
this.probeRow = record;
p.bucketArea.startLookup(hash);
return true;
} else {
if (p.testHashBloomFilter(hash)) {
BinaryRow row = originProbeSideSerializer.baseRowToBinary(record);
p.insertIntoProbeBuffer(row);
}
return false;
}
}
|
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Find matched build side rows for a probe row.
@return return false if the target partition has spilled, we will spill this probe row too.
The row will be re-match in rebuild phase.
|
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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/hashtable/BinaryHashTable.java#L274-L298
|
train
|
Try to probe the given record.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/DataSet.java
|
DataSet.runOperation
|
public <X> DataSet<X> runOperation(CustomUnaryOperation<T, X> operation) {
Preconditions.checkNotNull(operation, "The custom operator must not be null.");
operation.setInput(this);
return operation.createResult();
}
|
java
|
public <X> DataSet<X> runOperation(CustomUnaryOperation<T, X> operation) {
Preconditions.checkNotNull(operation, "The custom operator must not be null.");
operation.setInput(this);
return operation.createResult();
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/DataSet.java#L1225-L1229
|
train
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Runs a custom unary operation on this DataSet.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java
|
MiniCluster.listJobs
|
public CompletableFuture<Collection<JobStatusMessage>> listJobs() {
return runDispatcherCommand(dispatcherGateway ->
dispatcherGateway
.requestMultipleJobDetails(rpcTimeout)
.thenApply(jobs ->
jobs.getJobs().stream()
.map(details -> new JobStatusMessage(details.getJobId(), details.getJobName(), details.getStatus(), details.getStartTime()))
.collect(Collectors.toList())));
}
|
java
|
public CompletableFuture<Collection<JobStatusMessage>> listJobs() {
return runDispatcherCommand(dispatcherGateway ->
dispatcherGateway
.requestMultipleJobDetails(rpcTimeout)
.thenApply(jobs ->
jobs.getJobs().stream()
.map(details -> new JobStatusMessage(details.getJobId(), details.getJobName(), details.getStatus(), details.getStartTime()))
.collect(Collectors.toList())));
}
|
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/minicluster/MiniCluster.java#L536-L544
|
train
|
List all jobs.
|
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apache/flink
|
flink-table/flink-table-common/src/main/java/org/apache/flink/table/sources/wmstrategies/WatermarkStrategy.java
|
WatermarkStrategy.toProperties
|
@Override
public Map<String, String> toProperties() {
Map<String, String> properties = new HashMap<>();
properties.put(Rowtime.ROWTIME_WATERMARKS_TYPE, Rowtime.ROWTIME_WATERMARKS_TYPE_VALUE_CUSTOM);
properties.put(Rowtime.ROWTIME_WATERMARKS_CLASS, this.getClass().getName());
properties.put(Rowtime.ROWTIME_WATERMARKS_SERIALIZED, EncodingUtils.encodeObjectToString(this));
return properties;
}
|
java
|
@Override
public Map<String, String> toProperties() {
Map<String, String> properties = new HashMap<>();
properties.put(Rowtime.ROWTIME_WATERMARKS_TYPE, Rowtime.ROWTIME_WATERMARKS_TYPE_VALUE_CUSTOM);
properties.put(Rowtime.ROWTIME_WATERMARKS_CLASS, this.getClass().getName());
properties.put(Rowtime.ROWTIME_WATERMARKS_SERIALIZED, EncodingUtils.encodeObjectToString(this));
return properties;
}
|
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This method is a default implementation that uses java serialization and it is discouraged.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-common/src/main/java/org/apache/flink/table/sources/wmstrategies/WatermarkStrategy.java#L43-L50
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train
|
Returns a map of properties that can be used to write the rowtime information to the database.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/UUID.java
|
UUID.digits
|
private static String digits(long val, int digits) {
long hi = 1L << (digits * 4);
return Long.toHexString(hi | (val & (hi - 1))).substring(1);
}
|
java
|
private static String digits(long val, int digits) {
long hi = 1L << (digits * 4);
return Long.toHexString(hi | (val & (hi - 1))).substring(1);
}
|
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] |
返回指定数字对应的hex值
@param val 值
@param digits 位
@return 值
|
[
"返回指定数字对应的hex值"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/UUID.java#L435-L438
|
train
|
Returns a string of digits.
|
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netty/netty
|
common/src/main/java/io/netty/util/concurrent/SingleThreadEventExecutor.java
|
SingleThreadEventExecutor.delayNanos
|
protected long delayNanos(long currentTimeNanos) {
ScheduledFutureTask<?> scheduledTask = peekScheduledTask();
if (scheduledTask == null) {
return SCHEDULE_PURGE_INTERVAL;
}
return scheduledTask.delayNanos(currentTimeNanos);
}
|
java
|
protected long delayNanos(long currentTimeNanos) {
ScheduledFutureTask<?> scheduledTask = peekScheduledTask();
if (scheduledTask == null) {
return SCHEDULE_PURGE_INTERVAL;
}
return scheduledTask.delayNanos(currentTimeNanos);
}
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/concurrent/SingleThreadEventExecutor.java#L438-L445
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train
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Returns the delay in nanoseconds.
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netty/netty
|
common/src/main/java/io/netty/util/NetUtil.java
|
NetUtil.getIPv6ByName
|
private static byte[] getIPv6ByName(CharSequence ip, boolean ipv4Mapped) {
final byte[] bytes = new byte[IPV6_BYTE_COUNT];
final int ipLength = ip.length();
int compressBegin = 0;
int compressLength = 0;
int currentIndex = 0;
int value = 0;
int begin = -1;
int i = 0;
int ipv6Separators = 0;
int ipv4Separators = 0;
int tmp;
boolean needsShift = false;
for (; i < ipLength; ++i) {
final char c = ip.charAt(i);
switch (c) {
case ':':
++ipv6Separators;
if (i - begin > IPV6_MAX_CHAR_BETWEEN_SEPARATOR ||
ipv4Separators > 0 || ipv6Separators > IPV6_MAX_SEPARATORS ||
currentIndex + 1 >= bytes.length) {
return null;
}
value <<= (IPV6_MAX_CHAR_BETWEEN_SEPARATOR - (i - begin)) << 2;
if (compressLength > 0) {
compressLength -= 2;
}
// The value integer holds at most 4 bytes from right (most significant) to left (least significant).
// The following bit shifting is used to extract and re-order the individual bytes to achieve a
// left (most significant) to right (least significant) ordering.
bytes[currentIndex++] = (byte) (((value & 0xf) << 4) | ((value >> 4) & 0xf));
bytes[currentIndex++] = (byte) ((((value >> 8) & 0xf) << 4) | ((value >> 12) & 0xf));
tmp = i + 1;
if (tmp < ipLength && ip.charAt(tmp) == ':') {
++tmp;
if (compressBegin != 0 || (tmp < ipLength && ip.charAt(tmp) == ':')) {
return null;
}
++ipv6Separators;
needsShift = ipv6Separators == 2 && value == 0;
compressBegin = currentIndex;
compressLength = bytes.length - compressBegin - 2;
++i;
}
value = 0;
begin = -1;
break;
case '.':
++ipv4Separators;
tmp = i - begin; // tmp is the length of the current segment.
if (tmp > IPV4_MAX_CHAR_BETWEEN_SEPARATOR
|| begin < 0
|| ipv4Separators > IPV4_SEPARATORS
|| (ipv6Separators > 0 && (currentIndex + compressLength < 12))
|| i + 1 >= ipLength
|| currentIndex >= bytes.length
|| ipv4Separators == 1 &&
// We also parse pure IPv4 addresses as IPv4-Mapped for ease of use.
((!ipv4Mapped || currentIndex != 0 && !isValidIPv4Mapped(bytes, currentIndex,
compressBegin, compressLength)) ||
(tmp == 3 && (!isValidNumericChar(ip.charAt(i - 1)) ||
!isValidNumericChar(ip.charAt(i - 2)) ||
!isValidNumericChar(ip.charAt(i - 3))) ||
tmp == 2 && (!isValidNumericChar(ip.charAt(i - 1)) ||
!isValidNumericChar(ip.charAt(i - 2))) ||
tmp == 1 && !isValidNumericChar(ip.charAt(i - 1))))) {
return null;
}
value <<= (IPV4_MAX_CHAR_BETWEEN_SEPARATOR - tmp) << 2;
// The value integer holds at most 3 bytes from right (most significant) to left (least significant).
// The following bit shifting is to restructure the bytes to be left (most significant) to
// right (least significant) while also accounting for each IPv4 digit is base 10.
begin = (value & 0xf) * 100 + ((value >> 4) & 0xf) * 10 + ((value >> 8) & 0xf);
if (begin < 0 || begin > 255) {
return null;
}
bytes[currentIndex++] = (byte) begin;
value = 0;
begin = -1;
break;
default:
if (!isValidHexChar(c) || (ipv4Separators > 0 && !isValidNumericChar(c))) {
return null;
}
if (begin < 0) {
begin = i;
} else if (i - begin > IPV6_MAX_CHAR_BETWEEN_SEPARATOR) {
return null;
}
// The value is treated as a sort of array of numbers because we are dealing with
// at most 4 consecutive bytes we can use bit shifting to accomplish this.
// The most significant byte will be encountered first, and reside in the right most
// position of the following integer
value += StringUtil.decodeHexNibble(c) << ((i - begin) << 2);
break;
}
}
final boolean isCompressed = compressBegin > 0;
// Finish up last set of data that was accumulated in the loop (or before the loop)
if (ipv4Separators > 0) {
if (begin > 0 && i - begin > IPV4_MAX_CHAR_BETWEEN_SEPARATOR ||
ipv4Separators != IPV4_SEPARATORS ||
currentIndex >= bytes.length) {
return null;
}
if (ipv6Separators == 0) {
compressLength = 12;
} else if (ipv6Separators >= IPV6_MIN_SEPARATORS &&
(!isCompressed && (ipv6Separators == 6 && ip.charAt(0) != ':') ||
isCompressed && (ipv6Separators < IPV6_MAX_SEPARATORS &&
(ip.charAt(0) != ':' || compressBegin <= 2)))) {
compressLength -= 2;
} else {
return null;
}
value <<= (IPV4_MAX_CHAR_BETWEEN_SEPARATOR - (i - begin)) << 2;
// The value integer holds at most 3 bytes from right (most significant) to left (least significant).
// The following bit shifting is to restructure the bytes to be left (most significant) to
// right (least significant) while also accounting for each IPv4 digit is base 10.
begin = (value & 0xf) * 100 + ((value >> 4) & 0xf) * 10 + ((value >> 8) & 0xf);
if (begin < 0 || begin > 255) {
return null;
}
bytes[currentIndex++] = (byte) begin;
} else {
tmp = ipLength - 1;
if (begin > 0 && i - begin > IPV6_MAX_CHAR_BETWEEN_SEPARATOR ||
ipv6Separators < IPV6_MIN_SEPARATORS ||
!isCompressed && (ipv6Separators + 1 != IPV6_MAX_SEPARATORS ||
ip.charAt(0) == ':' || ip.charAt(tmp) == ':') ||
isCompressed && (ipv6Separators > IPV6_MAX_SEPARATORS ||
(ipv6Separators == IPV6_MAX_SEPARATORS &&
(compressBegin <= 2 && ip.charAt(0) != ':' ||
compressBegin >= 14 && ip.charAt(tmp) != ':'))) ||
currentIndex + 1 >= bytes.length ||
begin < 0 && ip.charAt(tmp - 1) != ':' ||
compressBegin > 2 && ip.charAt(0) == ':') {
return null;
}
if (begin >= 0 && i - begin <= IPV6_MAX_CHAR_BETWEEN_SEPARATOR) {
value <<= (IPV6_MAX_CHAR_BETWEEN_SEPARATOR - (i - begin)) << 2;
}
// The value integer holds at most 4 bytes from right (most significant) to left (least significant).
// The following bit shifting is used to extract and re-order the individual bytes to achieve a
// left (most significant) to right (least significant) ordering.
bytes[currentIndex++] = (byte) (((value & 0xf) << 4) | ((value >> 4) & 0xf));
bytes[currentIndex++] = (byte) ((((value >> 8) & 0xf) << 4) | ((value >> 12) & 0xf));
}
i = currentIndex + compressLength;
if (needsShift || i >= bytes.length) {
// Right shift array
if (i >= bytes.length) {
++compressBegin;
}
for (i = currentIndex; i < bytes.length; ++i) {
for (begin = bytes.length - 1; begin >= compressBegin; --begin) {
bytes[begin] = bytes[begin - 1];
}
bytes[begin] = 0;
++compressBegin;
}
} else {
// Selectively move elements
for (i = 0; i < compressLength; ++i) {
begin = i + compressBegin;
currentIndex = begin + compressLength;
if (currentIndex < bytes.length) {
bytes[currentIndex] = bytes[begin];
bytes[begin] = 0;
} else {
break;
}
}
}
if (ipv4Separators > 0) {
// We only support IPv4-Mapped addresses [1] because IPv4-Compatible addresses are deprecated [2].
// [1] https://tools.ietf.org/html/rfc4291#section-2.5.5.2
// [2] https://tools.ietf.org/html/rfc4291#section-2.5.5.1
bytes[10] = bytes[11] = (byte) 0xff;
}
return bytes;
}
|
java
|
private static byte[] getIPv6ByName(CharSequence ip, boolean ipv4Mapped) {
final byte[] bytes = new byte[IPV6_BYTE_COUNT];
final int ipLength = ip.length();
int compressBegin = 0;
int compressLength = 0;
int currentIndex = 0;
int value = 0;
int begin = -1;
int i = 0;
int ipv6Separators = 0;
int ipv4Separators = 0;
int tmp;
boolean needsShift = false;
for (; i < ipLength; ++i) {
final char c = ip.charAt(i);
switch (c) {
case ':':
++ipv6Separators;
if (i - begin > IPV6_MAX_CHAR_BETWEEN_SEPARATOR ||
ipv4Separators > 0 || ipv6Separators > IPV6_MAX_SEPARATORS ||
currentIndex + 1 >= bytes.length) {
return null;
}
value <<= (IPV6_MAX_CHAR_BETWEEN_SEPARATOR - (i - begin)) << 2;
if (compressLength > 0) {
compressLength -= 2;
}
// The value integer holds at most 4 bytes from right (most significant) to left (least significant).
// The following bit shifting is used to extract and re-order the individual bytes to achieve a
// left (most significant) to right (least significant) ordering.
bytes[currentIndex++] = (byte) (((value & 0xf) << 4) | ((value >> 4) & 0xf));
bytes[currentIndex++] = (byte) ((((value >> 8) & 0xf) << 4) | ((value >> 12) & 0xf));
tmp = i + 1;
if (tmp < ipLength && ip.charAt(tmp) == ':') {
++tmp;
if (compressBegin != 0 || (tmp < ipLength && ip.charAt(tmp) == ':')) {
return null;
}
++ipv6Separators;
needsShift = ipv6Separators == 2 && value == 0;
compressBegin = currentIndex;
compressLength = bytes.length - compressBegin - 2;
++i;
}
value = 0;
begin = -1;
break;
case '.':
++ipv4Separators;
tmp = i - begin; // tmp is the length of the current segment.
if (tmp > IPV4_MAX_CHAR_BETWEEN_SEPARATOR
|| begin < 0
|| ipv4Separators > IPV4_SEPARATORS
|| (ipv6Separators > 0 && (currentIndex + compressLength < 12))
|| i + 1 >= ipLength
|| currentIndex >= bytes.length
|| ipv4Separators == 1 &&
// We also parse pure IPv4 addresses as IPv4-Mapped for ease of use.
((!ipv4Mapped || currentIndex != 0 && !isValidIPv4Mapped(bytes, currentIndex,
compressBegin, compressLength)) ||
(tmp == 3 && (!isValidNumericChar(ip.charAt(i - 1)) ||
!isValidNumericChar(ip.charAt(i - 2)) ||
!isValidNumericChar(ip.charAt(i - 3))) ||
tmp == 2 && (!isValidNumericChar(ip.charAt(i - 1)) ||
!isValidNumericChar(ip.charAt(i - 2))) ||
tmp == 1 && !isValidNumericChar(ip.charAt(i - 1))))) {
return null;
}
value <<= (IPV4_MAX_CHAR_BETWEEN_SEPARATOR - tmp) << 2;
// The value integer holds at most 3 bytes from right (most significant) to left (least significant).
// The following bit shifting is to restructure the bytes to be left (most significant) to
// right (least significant) while also accounting for each IPv4 digit is base 10.
begin = (value & 0xf) * 100 + ((value >> 4) & 0xf) * 10 + ((value >> 8) & 0xf);
if (begin < 0 || begin > 255) {
return null;
}
bytes[currentIndex++] = (byte) begin;
value = 0;
begin = -1;
break;
default:
if (!isValidHexChar(c) || (ipv4Separators > 0 && !isValidNumericChar(c))) {
return null;
}
if (begin < 0) {
begin = i;
} else if (i - begin > IPV6_MAX_CHAR_BETWEEN_SEPARATOR) {
return null;
}
// The value is treated as a sort of array of numbers because we are dealing with
// at most 4 consecutive bytes we can use bit shifting to accomplish this.
// The most significant byte will be encountered first, and reside in the right most
// position of the following integer
value += StringUtil.decodeHexNibble(c) << ((i - begin) << 2);
break;
}
}
final boolean isCompressed = compressBegin > 0;
// Finish up last set of data that was accumulated in the loop (or before the loop)
if (ipv4Separators > 0) {
if (begin > 0 && i - begin > IPV4_MAX_CHAR_BETWEEN_SEPARATOR ||
ipv4Separators != IPV4_SEPARATORS ||
currentIndex >= bytes.length) {
return null;
}
if (ipv6Separators == 0) {
compressLength = 12;
} else if (ipv6Separators >= IPV6_MIN_SEPARATORS &&
(!isCompressed && (ipv6Separators == 6 && ip.charAt(0) != ':') ||
isCompressed && (ipv6Separators < IPV6_MAX_SEPARATORS &&
(ip.charAt(0) != ':' || compressBegin <= 2)))) {
compressLength -= 2;
} else {
return null;
}
value <<= (IPV4_MAX_CHAR_BETWEEN_SEPARATOR - (i - begin)) << 2;
// The value integer holds at most 3 bytes from right (most significant) to left (least significant).
// The following bit shifting is to restructure the bytes to be left (most significant) to
// right (least significant) while also accounting for each IPv4 digit is base 10.
begin = (value & 0xf) * 100 + ((value >> 4) & 0xf) * 10 + ((value >> 8) & 0xf);
if (begin < 0 || begin > 255) {
return null;
}
bytes[currentIndex++] = (byte) begin;
} else {
tmp = ipLength - 1;
if (begin > 0 && i - begin > IPV6_MAX_CHAR_BETWEEN_SEPARATOR ||
ipv6Separators < IPV6_MIN_SEPARATORS ||
!isCompressed && (ipv6Separators + 1 != IPV6_MAX_SEPARATORS ||
ip.charAt(0) == ':' || ip.charAt(tmp) == ':') ||
isCompressed && (ipv6Separators > IPV6_MAX_SEPARATORS ||
(ipv6Separators == IPV6_MAX_SEPARATORS &&
(compressBegin <= 2 && ip.charAt(0) != ':' ||
compressBegin >= 14 && ip.charAt(tmp) != ':'))) ||
currentIndex + 1 >= bytes.length ||
begin < 0 && ip.charAt(tmp - 1) != ':' ||
compressBegin > 2 && ip.charAt(0) == ':') {
return null;
}
if (begin >= 0 && i - begin <= IPV6_MAX_CHAR_BETWEEN_SEPARATOR) {
value <<= (IPV6_MAX_CHAR_BETWEEN_SEPARATOR - (i - begin)) << 2;
}
// The value integer holds at most 4 bytes from right (most significant) to left (least significant).
// The following bit shifting is used to extract and re-order the individual bytes to achieve a
// left (most significant) to right (least significant) ordering.
bytes[currentIndex++] = (byte) (((value & 0xf) << 4) | ((value >> 4) & 0xf));
bytes[currentIndex++] = (byte) ((((value >> 8) & 0xf) << 4) | ((value >> 12) & 0xf));
}
i = currentIndex + compressLength;
if (needsShift || i >= bytes.length) {
// Right shift array
if (i >= bytes.length) {
++compressBegin;
}
for (i = currentIndex; i < bytes.length; ++i) {
for (begin = bytes.length - 1; begin >= compressBegin; --begin) {
bytes[begin] = bytes[begin - 1];
}
bytes[begin] = 0;
++compressBegin;
}
} else {
// Selectively move elements
for (i = 0; i < compressLength; ++i) {
begin = i + compressBegin;
currentIndex = begin + compressLength;
if (currentIndex < bytes.length) {
bytes[currentIndex] = bytes[begin];
bytes[begin] = 0;
} else {
break;
}
}
}
if (ipv4Separators > 0) {
// We only support IPv4-Mapped addresses [1] because IPv4-Compatible addresses are deprecated [2].
// [1] https://tools.ietf.org/html/rfc4291#section-2.5.5.2
// [2] https://tools.ietf.org/html/rfc4291#section-2.5.5.1
bytes[10] = bytes[11] = (byte) 0xff;
}
return bytes;
}
|
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Returns the byte array representation of a {@link CharSequence} IP address.
<p>
The {@code ipv4Mapped} parameter specifies how IPv4 addresses should be treated.
"IPv4 mapped" format as
defined in <a href="http://tools.ietf.org/html/rfc4291#section-2.5.5">rfc 4291 section 2</a> is supported.
@param ip {@link CharSequence} IP address to be converted to a {@link Inet6Address}
@param ipv4Mapped
<ul>
<li>{@code true} To allow IPv4 mapped inputs to be translated into {@link Inet6Address}</li>
<li>{@code false} Consider IPv4 mapped addresses as invalid.</li>
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@return byte array representation of the {@code ip} or {@code null} if not a valid IP address.
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/NetUtil.java#L741-L930
|
train
|
Get IPv6 by name.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/AbstractFilterRegistrationBean.java
|
AbstractFilterRegistrationBean.setServletNames
|
public void setServletNames(Collection<String> servletNames) {
Assert.notNull(servletNames, "ServletNames must not be null");
this.servletNames = new LinkedHashSet<>(servletNames);
}
|
java
|
public void setServletNames(Collection<String> servletNames) {
Assert.notNull(servletNames, "ServletNames must not be null");
this.servletNames = new LinkedHashSet<>(servletNames);
}
|
[
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"servletNames",
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] |
Set servlet names that the filter will be registered against. This will replace any
previously specified servlet names.
@param servletNames the servlet names
@see #setServletRegistrationBeans
@see #setUrlPatterns
|
[
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] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/AbstractFilterRegistrationBean.java#L112-L115
|
train
|
Sets the servlet names.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoFactory.java
|
MongoFactory.getDS
|
public static MongoDS getDS(Setting setting, String... groups) {
final String key = setting.getSettingPath() + GROUP_SEPRATER + ArrayUtil.join(groups, GROUP_SEPRATER);
MongoDS ds = dsMap.get(key);
if (null == ds) {
// 没有在池中加入之
ds = new MongoDS(setting, groups);
dsMap.put(key, ds);
}
return ds;
}
|
java
|
public static MongoDS getDS(Setting setting, String... groups) {
final String key = setting.getSettingPath() + GROUP_SEPRATER + ArrayUtil.join(groups, GROUP_SEPRATER);
MongoDS ds = dsMap.get(key);
if (null == ds) {
// 没有在池中加入之
ds = new MongoDS(setting, groups);
dsMap.put(key, ds);
}
return ds;
}
|
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获取MongoDB数据源<br>
@param setting 设定文件
@param groups 分组列表
@return MongoDB连接
|
[
"获取MongoDB数据源<br",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoFactory.java#L90-L100
|
train
|
Gets the DS object.
|
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apache/spark
|
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftCLIServiceClient.java
|
ThriftCLIServiceClient.getFunctions
|
@Override
public OperationHandle getFunctions(SessionHandle sessionHandle,
String catalogName, String schemaName, String functionName) throws HiveSQLException {
try {
TGetFunctionsReq req = new TGetFunctionsReq(sessionHandle.toTSessionHandle(), functionName);
req.setCatalogName(catalogName);
req.setSchemaName(schemaName);
TGetFunctionsResp resp = cliService.GetFunctions(req);
checkStatus(resp.getStatus());
TProtocolVersion protocol = sessionHandle.getProtocolVersion();
return new OperationHandle(resp.getOperationHandle(), protocol);
} catch (HiveSQLException e) {
throw e;
} catch (Exception e) {
throw new HiveSQLException(e);
}
}
|
java
|
@Override
public OperationHandle getFunctions(SessionHandle sessionHandle,
String catalogName, String schemaName, String functionName) throws HiveSQLException {
try {
TGetFunctionsReq req = new TGetFunctionsReq(sessionHandle.toTSessionHandle(), functionName);
req.setCatalogName(catalogName);
req.setSchemaName(schemaName);
TGetFunctionsResp resp = cliService.GetFunctions(req);
checkStatus(resp.getStatus());
TProtocolVersion protocol = sessionHandle.getProtocolVersion();
return new OperationHandle(resp.getOperationHandle(), protocol);
} catch (HiveSQLException e) {
throw e;
} catch (Exception e) {
throw new HiveSQLException(e);
}
}
|
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/* (non-Javadoc)
@see org.apache.hive.service.cli.ICLIService#getFunctions(org.apache.hive.service.cli.SessionHandle)
|
[
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftCLIServiceClient.java#L277-L293
|
train
|
Get a function from the given catalog and schema name.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionJobVertex.java
|
ExecutionJobVertex.connectToPredecessors
|
public void connectToPredecessors(Map<IntermediateDataSetID, IntermediateResult> intermediateDataSets) throws JobException {
List<JobEdge> inputs = jobVertex.getInputs();
if (LOG.isDebugEnabled()) {
LOG.debug(String.format("Connecting ExecutionJobVertex %s (%s) to %d predecessors.", jobVertex.getID(), jobVertex.getName(), inputs.size()));
}
for (int num = 0; num < inputs.size(); num++) {
JobEdge edge = inputs.get(num);
if (LOG.isDebugEnabled()) {
if (edge.getSource() == null) {
LOG.debug(String.format("Connecting input %d of vertex %s (%s) to intermediate result referenced via ID %s.",
num, jobVertex.getID(), jobVertex.getName(), edge.getSourceId()));
} else {
LOG.debug(String.format("Connecting input %d of vertex %s (%s) to intermediate result referenced via predecessor %s (%s).",
num, jobVertex.getID(), jobVertex.getName(), edge.getSource().getProducer().getID(), edge.getSource().getProducer().getName()));
}
}
// fetch the intermediate result via ID. if it does not exist, then it either has not been created, or the order
// in which this method is called for the job vertices is not a topological order
IntermediateResult ires = intermediateDataSets.get(edge.getSourceId());
if (ires == null) {
throw new JobException("Cannot connect this job graph to the previous graph. No previous intermediate result found for ID "
+ edge.getSourceId());
}
this.inputs.add(ires);
int consumerIndex = ires.registerConsumer();
for (int i = 0; i < parallelism; i++) {
ExecutionVertex ev = taskVertices[i];
ev.connectSource(num, ires, edge, consumerIndex);
}
}
}
|
java
|
public void connectToPredecessors(Map<IntermediateDataSetID, IntermediateResult> intermediateDataSets) throws JobException {
List<JobEdge> inputs = jobVertex.getInputs();
if (LOG.isDebugEnabled()) {
LOG.debug(String.format("Connecting ExecutionJobVertex %s (%s) to %d predecessors.", jobVertex.getID(), jobVertex.getName(), inputs.size()));
}
for (int num = 0; num < inputs.size(); num++) {
JobEdge edge = inputs.get(num);
if (LOG.isDebugEnabled()) {
if (edge.getSource() == null) {
LOG.debug(String.format("Connecting input %d of vertex %s (%s) to intermediate result referenced via ID %s.",
num, jobVertex.getID(), jobVertex.getName(), edge.getSourceId()));
} else {
LOG.debug(String.format("Connecting input %d of vertex %s (%s) to intermediate result referenced via predecessor %s (%s).",
num, jobVertex.getID(), jobVertex.getName(), edge.getSource().getProducer().getID(), edge.getSource().getProducer().getName()));
}
}
// fetch the intermediate result via ID. if it does not exist, then it either has not been created, or the order
// in which this method is called for the job vertices is not a topological order
IntermediateResult ires = intermediateDataSets.get(edge.getSourceId());
if (ires == null) {
throw new JobException("Cannot connect this job graph to the previous graph. No previous intermediate result found for ID "
+ edge.getSourceId());
}
this.inputs.add(ires);
int consumerIndex = ires.registerConsumer();
for (int i = 0; i < parallelism; i++) {
ExecutionVertex ev = taskVertices[i];
ev.connectSource(num, ires, edge, consumerIndex);
}
}
}
|
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---------------------------------------------------------------------------------------------
|
[
"---------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionJobVertex.java#L425-L463
|
train
|
Connect the job graph to the predecessors of the job vertices.
|
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looly/hutool
|
hutool-setting/src/main/java/cn/hutool/setting/AbsSetting.java
|
AbsSetting.getStrings
|
public String[] getStrings(String key, String group, String delimiter) {
final String value = getByGroup(key, group);
if (StrUtil.isBlank(value)) {
return null;
}
return StrUtil.split(value, delimiter);
}
|
java
|
public String[] getStrings(String key, String group, String delimiter) {
final String value = getByGroup(key, group);
if (StrUtil.isBlank(value)) {
return null;
}
return StrUtil.split(value, delimiter);
}
|
[
"public",
"String",
"[",
"]",
"getStrings",
"(",
"String",
"key",
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"group",
",",
"String",
"delimiter",
")",
"{",
"final",
"String",
"value",
"=",
"getByGroup",
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"key",
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";",
"}",
"return",
"StrUtil",
".",
"split",
"(",
"value",
",",
"delimiter",
")",
";",
"}"
] |
获得数组型
@param key 属性名
@param group 分组名
@param delimiter 分隔符
@return 属性值
|
[
"获得数组型"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-setting/src/main/java/cn/hutool/setting/AbsSetting.java#L136-L142
|
train
|
Returns an array of strings from the specified group.
|
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