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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/TransformMatrixDictionary.java
|
TransformMatrixDictionary.getFrequency
|
public int getFrequency(String from, String to)
{
return getFrequency(convert(from), convert(to));
}
|
java
|
public int getFrequency(String from, String to)
{
return getFrequency(convert(from), convert(to));
}
|
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获取转移频次
@param from
@param to
@return
|
[
"获取转移频次"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/TransformMatrixDictionary.java#L43-L46
|
train
|
Gets the frequency of a sequence from a sequence of tokens to a sequence of tokens.
|
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30526
] |
looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/servlet/multipart/UploadFileHeader.java
|
UploadFileHeader.getDataFieldValue
|
private String getDataFieldValue(String dataHeader, String fieldName) {
String value = null;
String token = StrUtil.format("{}=\"", fieldName);
int pos = dataHeader.indexOf(token);
if (pos > 0) {
int start = pos + token.length();
int end = dataHeader.indexOf('"', start);
if ((start > 0) && (end > 0)) {
value = dataHeader.substring(start, end);
}
}
return value;
}
|
java
|
private String getDataFieldValue(String dataHeader, String fieldName) {
String value = null;
String token = StrUtil.format("{}=\"", fieldName);
int pos = dataHeader.indexOf(token);
if (pos > 0) {
int start = pos + token.length();
int end = dataHeader.indexOf('"', start);
if ((start > 0) && (end > 0)) {
value = dataHeader.substring(start, end);
}
}
return value;
}
|
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] |
获得头信息字符串字符串中指定的值
@param dataHeader 头信息
@param fieldName 字段名
@return 字段值
|
[
"获得头信息字符串字符串中指定的值"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/servlet/multipart/UploadFileHeader.java#L102-L114
|
train
|
Returns the value of a single field in the data header.
|
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30526
] |
apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/TaskExecutor.java
|
TaskExecutor.submitTask
|
@Override
public CompletableFuture<Acknowledge> submitTask(
TaskDeploymentDescriptor tdd,
JobMasterId jobMasterId,
Time timeout) {
try {
final JobID jobId = tdd.getJobId();
final JobManagerConnection jobManagerConnection = jobManagerTable.get(jobId);
if (jobManagerConnection == null) {
final String message = "Could not submit task because there is no JobManager " +
"associated for the job " + jobId + '.';
log.debug(message);
throw new TaskSubmissionException(message);
}
if (!Objects.equals(jobManagerConnection.getJobMasterId(), jobMasterId)) {
final String message = "Rejecting the task submission because the job manager leader id " +
jobMasterId + " does not match the expected job manager leader id " +
jobManagerConnection.getJobMasterId() + '.';
log.debug(message);
throw new TaskSubmissionException(message);
}
if (!taskSlotTable.tryMarkSlotActive(jobId, tdd.getAllocationId())) {
final String message = "No task slot allocated for job ID " + jobId +
" and allocation ID " + tdd.getAllocationId() + '.';
log.debug(message);
throw new TaskSubmissionException(message);
}
// re-integrate offloaded data:
try {
tdd.loadBigData(blobCacheService.getPermanentBlobService());
} catch (IOException | ClassNotFoundException e) {
throw new TaskSubmissionException("Could not re-integrate offloaded TaskDeploymentDescriptor data.", e);
}
// deserialize the pre-serialized information
final JobInformation jobInformation;
final TaskInformation taskInformation;
try {
jobInformation = tdd.getSerializedJobInformation().deserializeValue(getClass().getClassLoader());
taskInformation = tdd.getSerializedTaskInformation().deserializeValue(getClass().getClassLoader());
} catch (IOException | ClassNotFoundException e) {
throw new TaskSubmissionException("Could not deserialize the job or task information.", e);
}
if (!jobId.equals(jobInformation.getJobId())) {
throw new TaskSubmissionException(
"Inconsistent job ID information inside TaskDeploymentDescriptor (" +
tdd.getJobId() + " vs. " + jobInformation.getJobId() + ")");
}
TaskMetricGroup taskMetricGroup = taskManagerMetricGroup.addTaskForJob(
jobInformation.getJobId(),
jobInformation.getJobName(),
taskInformation.getJobVertexId(),
tdd.getExecutionAttemptId(),
taskInformation.getTaskName(),
tdd.getSubtaskIndex(),
tdd.getAttemptNumber());
InputSplitProvider inputSplitProvider = new RpcInputSplitProvider(
jobManagerConnection.getJobManagerGateway(),
taskInformation.getJobVertexId(),
tdd.getExecutionAttemptId(),
taskManagerConfiguration.getTimeout());
TaskManagerActions taskManagerActions = jobManagerConnection.getTaskManagerActions();
CheckpointResponder checkpointResponder = jobManagerConnection.getCheckpointResponder();
GlobalAggregateManager aggregateManager = jobManagerConnection.getGlobalAggregateManager();
LibraryCacheManager libraryCache = jobManagerConnection.getLibraryCacheManager();
ResultPartitionConsumableNotifier resultPartitionConsumableNotifier = jobManagerConnection.getResultPartitionConsumableNotifier();
PartitionProducerStateChecker partitionStateChecker = jobManagerConnection.getPartitionStateChecker();
final TaskLocalStateStore localStateStore = localStateStoresManager.localStateStoreForSubtask(
jobId,
tdd.getAllocationId(),
taskInformation.getJobVertexId(),
tdd.getSubtaskIndex());
final JobManagerTaskRestore taskRestore = tdd.getTaskRestore();
final TaskStateManager taskStateManager = new TaskStateManagerImpl(
jobId,
tdd.getExecutionAttemptId(),
localStateStore,
taskRestore,
checkpointResponder);
Task task = new Task(
jobInformation,
taskInformation,
tdd.getExecutionAttemptId(),
tdd.getAllocationId(),
tdd.getSubtaskIndex(),
tdd.getAttemptNumber(),
tdd.getProducedPartitions(),
tdd.getInputGates(),
tdd.getTargetSlotNumber(),
taskExecutorServices.getMemoryManager(),
taskExecutorServices.getIOManager(),
taskExecutorServices.getNetworkEnvironment(),
taskExecutorServices.getKvStateService(),
taskExecutorServices.getBroadcastVariableManager(),
taskExecutorServices.getTaskEventDispatcher(),
taskStateManager,
taskManagerActions,
inputSplitProvider,
checkpointResponder,
aggregateManager,
blobCacheService,
libraryCache,
fileCache,
taskManagerConfiguration,
taskMetricGroup,
resultPartitionConsumableNotifier,
partitionStateChecker,
getRpcService().getExecutor());
log.info("Received task {}.", task.getTaskInfo().getTaskNameWithSubtasks());
boolean taskAdded;
try {
taskAdded = taskSlotTable.addTask(task);
} catch (SlotNotFoundException | SlotNotActiveException e) {
throw new TaskSubmissionException("Could not submit task.", e);
}
if (taskAdded) {
task.startTaskThread();
return CompletableFuture.completedFuture(Acknowledge.get());
} else {
final String message = "TaskManager already contains a task for id " +
task.getExecutionId() + '.';
log.debug(message);
throw new TaskSubmissionException(message);
}
} catch (TaskSubmissionException e) {
return FutureUtils.completedExceptionally(e);
}
}
|
java
|
@Override
public CompletableFuture<Acknowledge> submitTask(
TaskDeploymentDescriptor tdd,
JobMasterId jobMasterId,
Time timeout) {
try {
final JobID jobId = tdd.getJobId();
final JobManagerConnection jobManagerConnection = jobManagerTable.get(jobId);
if (jobManagerConnection == null) {
final String message = "Could not submit task because there is no JobManager " +
"associated for the job " + jobId + '.';
log.debug(message);
throw new TaskSubmissionException(message);
}
if (!Objects.equals(jobManagerConnection.getJobMasterId(), jobMasterId)) {
final String message = "Rejecting the task submission because the job manager leader id " +
jobMasterId + " does not match the expected job manager leader id " +
jobManagerConnection.getJobMasterId() + '.';
log.debug(message);
throw new TaskSubmissionException(message);
}
if (!taskSlotTable.tryMarkSlotActive(jobId, tdd.getAllocationId())) {
final String message = "No task slot allocated for job ID " + jobId +
" and allocation ID " + tdd.getAllocationId() + '.';
log.debug(message);
throw new TaskSubmissionException(message);
}
// re-integrate offloaded data:
try {
tdd.loadBigData(blobCacheService.getPermanentBlobService());
} catch (IOException | ClassNotFoundException e) {
throw new TaskSubmissionException("Could not re-integrate offloaded TaskDeploymentDescriptor data.", e);
}
// deserialize the pre-serialized information
final JobInformation jobInformation;
final TaskInformation taskInformation;
try {
jobInformation = tdd.getSerializedJobInformation().deserializeValue(getClass().getClassLoader());
taskInformation = tdd.getSerializedTaskInformation().deserializeValue(getClass().getClassLoader());
} catch (IOException | ClassNotFoundException e) {
throw new TaskSubmissionException("Could not deserialize the job or task information.", e);
}
if (!jobId.equals(jobInformation.getJobId())) {
throw new TaskSubmissionException(
"Inconsistent job ID information inside TaskDeploymentDescriptor (" +
tdd.getJobId() + " vs. " + jobInformation.getJobId() + ")");
}
TaskMetricGroup taskMetricGroup = taskManagerMetricGroup.addTaskForJob(
jobInformation.getJobId(),
jobInformation.getJobName(),
taskInformation.getJobVertexId(),
tdd.getExecutionAttemptId(),
taskInformation.getTaskName(),
tdd.getSubtaskIndex(),
tdd.getAttemptNumber());
InputSplitProvider inputSplitProvider = new RpcInputSplitProvider(
jobManagerConnection.getJobManagerGateway(),
taskInformation.getJobVertexId(),
tdd.getExecutionAttemptId(),
taskManagerConfiguration.getTimeout());
TaskManagerActions taskManagerActions = jobManagerConnection.getTaskManagerActions();
CheckpointResponder checkpointResponder = jobManagerConnection.getCheckpointResponder();
GlobalAggregateManager aggregateManager = jobManagerConnection.getGlobalAggregateManager();
LibraryCacheManager libraryCache = jobManagerConnection.getLibraryCacheManager();
ResultPartitionConsumableNotifier resultPartitionConsumableNotifier = jobManagerConnection.getResultPartitionConsumableNotifier();
PartitionProducerStateChecker partitionStateChecker = jobManagerConnection.getPartitionStateChecker();
final TaskLocalStateStore localStateStore = localStateStoresManager.localStateStoreForSubtask(
jobId,
tdd.getAllocationId(),
taskInformation.getJobVertexId(),
tdd.getSubtaskIndex());
final JobManagerTaskRestore taskRestore = tdd.getTaskRestore();
final TaskStateManager taskStateManager = new TaskStateManagerImpl(
jobId,
tdd.getExecutionAttemptId(),
localStateStore,
taskRestore,
checkpointResponder);
Task task = new Task(
jobInformation,
taskInformation,
tdd.getExecutionAttemptId(),
tdd.getAllocationId(),
tdd.getSubtaskIndex(),
tdd.getAttemptNumber(),
tdd.getProducedPartitions(),
tdd.getInputGates(),
tdd.getTargetSlotNumber(),
taskExecutorServices.getMemoryManager(),
taskExecutorServices.getIOManager(),
taskExecutorServices.getNetworkEnvironment(),
taskExecutorServices.getKvStateService(),
taskExecutorServices.getBroadcastVariableManager(),
taskExecutorServices.getTaskEventDispatcher(),
taskStateManager,
taskManagerActions,
inputSplitProvider,
checkpointResponder,
aggregateManager,
blobCacheService,
libraryCache,
fileCache,
taskManagerConfiguration,
taskMetricGroup,
resultPartitionConsumableNotifier,
partitionStateChecker,
getRpcService().getExecutor());
log.info("Received task {}.", task.getTaskInfo().getTaskNameWithSubtasks());
boolean taskAdded;
try {
taskAdded = taskSlotTable.addTask(task);
} catch (SlotNotFoundException | SlotNotActiveException e) {
throw new TaskSubmissionException("Could not submit task.", e);
}
if (taskAdded) {
task.startTaskThread();
return CompletableFuture.completedFuture(Acknowledge.get());
} else {
final String message = "TaskManager already contains a task for id " +
task.getExecutionId() + '.';
log.debug(message);
throw new TaskSubmissionException(message);
}
} catch (TaskSubmissionException e) {
return FutureUtils.completedExceptionally(e);
}
}
|
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----------------------------------------------------------------------
|
[
"----------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskexecutor/TaskExecutor.java#L433-L582
|
train
|
Submits a task to the job manager.
|
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/operators/DataSink.java
|
DataSink.translateToDataFlow
|
protected GenericDataSinkBase<T> translateToDataFlow(Operator<T> input) {
// select the name (or create a default one)
String name = this.name != null ? this.name : this.format.toString();
GenericDataSinkBase<T> sink = new GenericDataSinkBase<>(this.format, new UnaryOperatorInformation<>(this.type, new NothingTypeInfo()), name);
// set input
sink.setInput(input);
// set parameters
if (this.parameters != null) {
sink.getParameters().addAll(this.parameters);
}
// set parallelism
if (this.parallelism > 0) {
// use specified parallelism
sink.setParallelism(this.parallelism);
} else {
// if no parallelism has been specified, use parallelism of input operator to enable chaining
sink.setParallelism(input.getParallelism());
}
if (this.sortKeyPositions != null) {
// configure output sorting
Ordering ordering = new Ordering();
for (int i = 0; i < this.sortKeyPositions.length; i++) {
ordering.appendOrdering(this.sortKeyPositions[i], null, this.sortOrders[i]);
}
sink.setLocalOrder(ordering);
}
return sink;
}
|
java
|
protected GenericDataSinkBase<T> translateToDataFlow(Operator<T> input) {
// select the name (or create a default one)
String name = this.name != null ? this.name : this.format.toString();
GenericDataSinkBase<T> sink = new GenericDataSinkBase<>(this.format, new UnaryOperatorInformation<>(this.type, new NothingTypeInfo()), name);
// set input
sink.setInput(input);
// set parameters
if (this.parameters != null) {
sink.getParameters().addAll(this.parameters);
}
// set parallelism
if (this.parallelism > 0) {
// use specified parallelism
sink.setParallelism(this.parallelism);
} else {
// if no parallelism has been specified, use parallelism of input operator to enable chaining
sink.setParallelism(input.getParallelism());
}
if (this.sortKeyPositions != null) {
// configure output sorting
Ordering ordering = new Ordering();
for (int i = 0; i < this.sortKeyPositions.length; i++) {
ordering.appendOrdering(this.sortKeyPositions[i], null, this.sortOrders[i]);
}
sink.setLocalOrder(ordering);
}
return sink;
}
|
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] |
--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/DataSink.java#L233-L262
|
train
|
Translates the given input operator to data flow.
|
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netty/netty
|
handler/src/main/java/io/netty/handler/traffic/TrafficCounter.java
|
TrafficCounter.writeTimeToWait
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@Deprecated
public long writeTimeToWait(final long size, final long limitTraffic, final long maxTime) {
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}
|
java
|
@Deprecated
public long writeTimeToWait(final long size, final long limitTraffic, final long maxTime) {
return writeTimeToWait(size, limitTraffic, maxTime, milliSecondFromNano());
}
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/traffic/TrafficCounter.java#L555-L558
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train
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Write time to wait.
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apache/spark
|
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/VariableLengthRowBasedKeyValueBatch.java
|
VariableLengthRowBasedKeyValueBatch.getKeyRow
|
@Override
public UnsafeRow getKeyRow(int rowId) {
assert(rowId >= 0);
assert(rowId < numRows);
if (keyRowId != rowId) { // if keyRowId == rowId, desired keyRow is already cached
long offset = keyOffsets[rowId];
int klen = Platform.getInt(base, offset - 4);
keyRow.pointTo(base, offset, klen);
// set keyRowId so we can check if desired row is cached
keyRowId = rowId;
}
return keyRow;
}
|
java
|
@Override
public UnsafeRow getKeyRow(int rowId) {
assert(rowId >= 0);
assert(rowId < numRows);
if (keyRowId != rowId) { // if keyRowId == rowId, desired keyRow is already cached
long offset = keyOffsets[rowId];
int klen = Platform.getInt(base, offset - 4);
keyRow.pointTo(base, offset, klen);
// set keyRowId so we can check if desired row is cached
keyRowId = rowId;
}
return keyRow;
}
|
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Returns the key row in this batch at `rowId`. Returned key row is reused across calls.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/VariableLengthRowBasedKeyValueBatch.java#L76-L88
|
train
|
Get the key row.
|
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alibaba/canal
|
client/src/main/java/com/alibaba/otter/canal/client/CanalConnectors.java
|
CanalConnectors.newClusterConnector
|
public static CanalConnector newClusterConnector(String zkServers, String destination, String username,
String password) {
ClusterCanalConnector canalConnector = new ClusterCanalConnector(username,
password,
destination,
new ClusterNodeAccessStrategy(destination, ZkClientx.getZkClient(zkServers)));
canalConnector.setSoTimeout(60 * 1000);
canalConnector.setIdleTimeout(60 * 60 * 1000);
return canalConnector;
}
|
java
|
public static CanalConnector newClusterConnector(String zkServers, String destination, String username,
String password) {
ClusterCanalConnector canalConnector = new ClusterCanalConnector(username,
password,
destination,
new ClusterNodeAccessStrategy(destination, ZkClientx.getZkClient(zkServers)));
canalConnector.setSoTimeout(60 * 1000);
canalConnector.setIdleTimeout(60 * 60 * 1000);
return canalConnector;
}
|
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创建带cluster模式的客户端链接，自动完成failover切换，服务器列表自动扫描
@param zkServers
@param destination
@param username
@param password
@return
|
[
"创建带cluster模式的客户端链接，自动完成failover切换，服务器列表自动扫描"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client/src/main/java/com/alibaba/otter/canal/client/CanalConnectors.java#L66-L75
|
train
|
Create a new ClusterCanalConnector
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/clusterframework/BootstrapTools.java
|
BootstrapTools.getStartCommand
|
public static String getStartCommand(String template,
Map<String, String> startCommandValues) {
for (Map.Entry<String, String> variable : startCommandValues
.entrySet()) {
template = template
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}
return template;
}
|
java
|
public static String getStartCommand(String template,
Map<String, String> startCommandValues) {
for (Map.Entry<String, String> variable : startCommandValues
.entrySet()) {
template = template
.replace("%" + variable.getKey() + "%", variable.getValue());
}
return template;
}
|
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Replaces placeholders in the template start command with values from startCommandValues.
<p>If the default template {@link ConfigConstants#DEFAULT_YARN_CONTAINER_START_COMMAND_TEMPLATE}
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<li><tt>java</tt> = path to the Java executable</li>
<li><tt>jvmmem</tt> = JVM memory limits and tweaks</li>
<li><tt>jvmopts</tt> = misc options for the Java VM</li>
<li><tt>logging</tt> = logging-related configuration settings</li>
<li><tt>class</tt> = main class to execute</li>
<li><tt>args</tt> = arguments for the main class</li>
<li><tt>redirects</tt> = output redirects</li>
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@param template
a template start command with placeholders
@param startCommandValues
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@return the start command with placeholders filled in
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/clusterframework/BootstrapTools.java#L507-L515
|
train
|
Get start command.
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/servlet/ServletUtil.java
|
ServletUtil.write
|
public static void write(HttpServletResponse response, String text, String contentType) {
response.setContentType(contentType);
Writer writer = null;
try {
writer = response.getWriter();
writer.write(text);
writer.flush();
} catch (IOException e) {
throw new UtilException(e);
} finally {
IoUtil.close(writer);
}
}
|
java
|
public static void write(HttpServletResponse response, String text, String contentType) {
response.setContentType(contentType);
Writer writer = null;
try {
writer = response.getWriter();
writer.write(text);
writer.flush();
} catch (IOException e) {
throw new UtilException(e);
} finally {
IoUtil.close(writer);
}
}
|
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返回数据给客户端
@param response 响应对象{@link HttpServletResponse}
@param text 返回的内容
@param contentType 返回的类型
|
[
"返回数据给客户端"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/servlet/ServletUtil.java#L480-L492
|
train
|
Write text to the response using the specified content type.
|
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/seg/NShort/Path/NShortPath.java
|
NShortPath.calculate
|
private void calculate(Graph inGraph, int nValueKind)
{
initNShortPath(inGraph, nValueKind);
QueueElement tmpElement;
CQueue queWork = new CQueue();
double eWeight;
for (int nCurNode = 1; nCurNode < vertexCount; ++nCurNode)
{
// 将所有到当前结点（nCurNode)可能到达的边根据eWeight排序并压入队列
enQueueCurNodeEdges(queWork, nCurNode);
// 初始化当前结点所有边的eWeight值
for (int i = 0; i < N; ++i)
weightArray[nCurNode - 1][i] = Double.MAX_VALUE;
// 将queWork中的内容装入fromArray
tmpElement = queWork.deQueue();
if (tmpElement != null)
{
for (int i = 0; i < N; ++i)
{
eWeight = tmpElement.weight;
weightArray[nCurNode - 1][i] = eWeight;
do
{
fromArray[nCurNode - 1][i].enQueue(new QueueElement(tmpElement.from, tmpElement.index, 0));
tmpElement = queWork.deQueue();
if (tmpElement == null)
{
i = N;
break;
}
} while (tmpElement.weight == eWeight);
}
}
}
}
|
java
|
private void calculate(Graph inGraph, int nValueKind)
{
initNShortPath(inGraph, nValueKind);
QueueElement tmpElement;
CQueue queWork = new CQueue();
double eWeight;
for (int nCurNode = 1; nCurNode < vertexCount; ++nCurNode)
{
// 将所有到当前结点（nCurNode)可能到达的边根据eWeight排序并压入队列
enQueueCurNodeEdges(queWork, nCurNode);
// 初始化当前结点所有边的eWeight值
for (int i = 0; i < N; ++i)
weightArray[nCurNode - 1][i] = Double.MAX_VALUE;
// 将queWork中的内容装入fromArray
tmpElement = queWork.deQueue();
if (tmpElement != null)
{
for (int i = 0; i < N; ++i)
{
eWeight = tmpElement.weight;
weightArray[nCurNode - 1][i] = eWeight;
do
{
fromArray[nCurNode - 1][i].enQueue(new QueueElement(tmpElement.from, tmpElement.index, 0));
tmpElement = queWork.deQueue();
if (tmpElement == null)
{
i = N;
break;
}
} while (tmpElement.weight == eWeight);
}
}
}
}
|
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] |
计算出所有结点上可能的路径，为路径数据提供数据准备
@param inGraph 输入图
@param nValueKind 前N个结果
|
[
"计算出所有结点上可能的路径，为路径数据提供数据准备"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/seg/NShort/Path/NShortPath.java#L90-L128
|
train
|
Calculate the nValueKind of the nValueKind
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/core/fs/LimitedConnectionsFileSystem.java
|
LimitedConnectionsFileSystem.create
|
@Override
public FSDataOutputStream create(Path f, WriteMode overwriteMode) throws IOException {
return createOutputStream(() -> originalFs.create(f, overwriteMode));
}
|
java
|
@Override
public FSDataOutputStream create(Path f, WriteMode overwriteMode) throws IOException {
return createOutputStream(() -> originalFs.create(f, overwriteMode));
}
|
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/core/fs/LimitedConnectionsFileSystem.java#L270-L273
|
train
|
Create a file in the FS.
|
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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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] |
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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redisson/redisson
|
redisson/src/main/java/org/redisson/cache/AbstractCacheMap.java
|
AbstractCacheMap.remove
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@Override
public V remove(Object key) {
CachedValue<K, V> entry = map.remove(key);
if (entry != null) {
onValueRemove(entry);
if (!isValueExpired(entry)) {
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}
return null;
}
|
java
|
@Override
public V remove(Object key) {
CachedValue<K, V> entry = map.remove(key);
if (entry != null) {
onValueRemove(entry);
if (!isValueExpired(entry)) {
return (V) entry.getValue();
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}
return null;
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/*
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d3acc0249b2d5d658d36d99e2c808ce49332ea44
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https://github.com/redisson/redisson/blob/d3acc0249b2d5d658d36d99e2c808ce49332ea44/redisson/src/main/java/org/redisson/cache/AbstractCacheMap.java#L237-L247
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train
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Removes the value associated with the specified key from the cache.
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/sql/SqlUtil.java
|
SqlUtil.blobToStr
|
public static String blobToStr(Blob blob, Charset charset) {
InputStream in = null;
try {
in = blob.getBinaryStream();
return IoUtil.read(in, charset);
} catch (SQLException e) {
throw new DbRuntimeException(e);
} finally {
IoUtil.close(in);
}
}
|
java
|
public static String blobToStr(Blob blob, Charset charset) {
InputStream in = null;
try {
in = blob.getBinaryStream();
return IoUtil.read(in, charset);
} catch (SQLException e) {
throw new DbRuntimeException(e);
} finally {
IoUtil.close(in);
}
}
|
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Blob字段值转字符串
@param blob {@link Blob}
@param charset 编码
@return 字符串
@since 3.0.6
|
[
"Blob字段值转字符串"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/sql/SqlUtil.java#L173-L183
|
train
|
Converts a blob to a string.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java
|
DateUtil.range
|
public static DateRange range(Date start, Date end, final DateField unit) {
return new DateRange(start, end, unit);
}
|
java
|
public static DateRange range(Date start, Date end, final DateField unit) {
return new DateRange(start, end, unit);
}
|
[
"public",
"static",
"DateRange",
"range",
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"Date",
"start",
",",
"Date",
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"return",
"new",
"DateRange",
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"start",
",",
"end",
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] |
创建日期范围生成器
@param start 起始日期时间
@param end 结束日期时间
@param unit 步进单位
@return {@link DateRange}
|
[
"创建日期范围生成器"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java#L1632-L1634
|
train
|
Creates a range of dates.
|
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flink-core/src/main/java/org/apache/flink/api/common/typeinfo/Types.java
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Types.EITHER
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public static <L, R> TypeInformation<Either<L, R>> EITHER(TypeInformation<L> leftType, TypeInformation<R> rightType) {
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java
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public static <L, R> TypeInformation<Either<L, R>> EITHER(TypeInformation<L> leftType, TypeInformation<R> rightType) {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/AliasOperationUtils.java
|
AliasOperationUtils.createAliasList
|
public static List<Expression> createAliasList(List<Expression> aliases, TableOperation child) {
TableSchema childSchema = child.getTableSchema();
if (aliases.size() > childSchema.getFieldCount()) {
throw new ValidationException("Aliasing more fields than we actually have.");
}
List<ValueLiteralExpression> fieldAliases = aliases.stream()
.map(f -> f.accept(aliasLiteralValidator))
.collect(Collectors.toList());
String[] childNames = childSchema.getFieldNames();
return IntStream.range(0, childNames.length)
.mapToObj(idx -> {
UnresolvedReferenceExpression oldField = new UnresolvedReferenceExpression(childNames[idx]);
if (idx < fieldAliases.size()) {
ValueLiteralExpression alias = fieldAliases.get(idx);
return new CallExpression(BuiltInFunctionDefinitions.AS, Arrays.asList(oldField, alias));
} else {
return oldField;
}
}).collect(Collectors.toList());
}
|
java
|
public static List<Expression> createAliasList(List<Expression> aliases, TableOperation child) {
TableSchema childSchema = child.getTableSchema();
if (aliases.size() > childSchema.getFieldCount()) {
throw new ValidationException("Aliasing more fields than we actually have.");
}
List<ValueLiteralExpression> fieldAliases = aliases.stream()
.map(f -> f.accept(aliasLiteralValidator))
.collect(Collectors.toList());
String[] childNames = childSchema.getFieldNames();
return IntStream.range(0, childNames.length)
.mapToObj(idx -> {
UnresolvedReferenceExpression oldField = new UnresolvedReferenceExpression(childNames[idx]);
if (idx < fieldAliases.size()) {
ValueLiteralExpression alias = fieldAliases.get(idx);
return new CallExpression(BuiltInFunctionDefinitions.AS, Arrays.asList(oldField, alias));
} else {
return oldField;
}
}).collect(Collectors.toList());
}
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Creates a list of valid alias expressions. Resulting expression might still contain
{@link UnresolvedReferenceExpression}.
@param aliases aliases to validate
@param child relational operation on top of which to apply the aliases
@return validated list of aliases
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/operations/AliasOperationUtils.java#L55-L77
|
train
|
Creates a list of aliases for a given child table operation.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/throwable/ThrowableClassifier.java
|
ThrowableClassifier.getThrowableType
|
public static ThrowableType getThrowableType(Throwable cause) {
final ThrowableAnnotation annotation = cause.getClass().getAnnotation(ThrowableAnnotation.class);
return annotation == null ? ThrowableType.RecoverableError : annotation.value();
}
|
java
|
public static ThrowableType getThrowableType(Throwable cause) {
final ThrowableAnnotation annotation = cause.getClass().getAnnotation(ThrowableAnnotation.class);
return annotation == null ? ThrowableType.RecoverableError : annotation.value();
}
|
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Classify the exceptions by extracting the {@link ThrowableType} from a potential {@link ThrowableAnnotation}.
@param cause the {@link Throwable} to classify.
@return The extracted {@link ThrowableType} or ThrowableType.RecoverableError if there is no such annotation.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/throwable/ThrowableClassifier.java#L32-L35
|
train
|
Get the ThrowableType of the given Throwable.
|
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alibaba/canal
|
parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/MysqlConnection.java
|
MysqlConnection.updateSettings
|
private void updateSettings() throws IOException {
try {
update("set wait_timeout=9999999");
} catch (Exception e) {
logger.warn("update wait_timeout failed", e);
}
try {
update("set net_write_timeout=1800");
} catch (Exception e) {
logger.warn("update net_write_timeout failed", e);
}
try {
update("set net_read_timeout=1800");
} catch (Exception e) {
logger.warn("update net_read_timeout failed", e);
}
try {
// 设置服务端返回结果时不做编码转化，直接按照数据库的二进制编码进行发送，由客户端自己根据需求进行编码转化
update("set names 'binary'");
} catch (Exception e) {
logger.warn("update names failed", e);
}
try {
// mysql5.6针对checksum支持需要设置session变量
// 如果不设置会出现错误： Slave can not handle replication events with the
// checksum that master is configured to log
// 但也不能乱设置，需要和mysql server的checksum配置一致，不然RotateLogEvent会出现乱码
// '@@global.binlog_checksum'需要去掉单引号,在mysql 5.6.29下导致master退出
update("set @master_binlog_checksum= @@global.binlog_checksum");
} catch (Exception e) {
if (!StringUtils.contains(e.getMessage(), "Unknown system variable")) {
logger.warn("update master_binlog_checksum failed", e);
}
}
try {
// 参考:https://github.com/alibaba/canal/issues/284
// mysql5.6需要设置slave_uuid避免被server kill链接
update("set @slave_uuid=uuid()");
} catch (Exception e) {
if (!StringUtils.contains(e.getMessage(), "Unknown system variable")) {
logger.warn("update slave_uuid failed", e);
}
}
try {
// mariadb针对特殊的类型，需要设置session变量
update("SET @mariadb_slave_capability='" + LogEvent.MARIA_SLAVE_CAPABILITY_MINE + "'");
} catch (Exception e) {
if (!StringUtils.contains(e.getMessage(), "Unknown system variable")) {
logger.warn("update mariadb_slave_capability failed", e);
}
}
/**
* MASTER_HEARTBEAT_PERIOD sets the interval in seconds between
* replication heartbeats. Whenever the master's binary log is updated
* with an event, the waiting period for the next heartbeat is reset.
* interval is a decimal value having the range 0 to 4294967 seconds and
* a resolution in milliseconds; the smallest nonzero value is 0.001.
* Heartbeats are sent by the master only if there are no unsent events
* in the binary log file for a period longer than interval.
*/
try {
long periodNano = TimeUnit.SECONDS.toNanos(MASTER_HEARTBEAT_PERIOD_SECONDS);
update("SET @master_heartbeat_period=" + periodNano);
} catch (Exception e) {
logger.warn("update master_heartbeat_period failed", e);
}
}
|
java
|
private void updateSettings() throws IOException {
try {
update("set wait_timeout=9999999");
} catch (Exception e) {
logger.warn("update wait_timeout failed", e);
}
try {
update("set net_write_timeout=1800");
} catch (Exception e) {
logger.warn("update net_write_timeout failed", e);
}
try {
update("set net_read_timeout=1800");
} catch (Exception e) {
logger.warn("update net_read_timeout failed", e);
}
try {
// 设置服务端返回结果时不做编码转化，直接按照数据库的二进制编码进行发送，由客户端自己根据需求进行编码转化
update("set names 'binary'");
} catch (Exception e) {
logger.warn("update names failed", e);
}
try {
// mysql5.6针对checksum支持需要设置session变量
// 如果不设置会出现错误： Slave can not handle replication events with the
// checksum that master is configured to log
// 但也不能乱设置，需要和mysql server的checksum配置一致，不然RotateLogEvent会出现乱码
// '@@global.binlog_checksum'需要去掉单引号,在mysql 5.6.29下导致master退出
update("set @master_binlog_checksum= @@global.binlog_checksum");
} catch (Exception e) {
if (!StringUtils.contains(e.getMessage(), "Unknown system variable")) {
logger.warn("update master_binlog_checksum failed", e);
}
}
try {
// 参考:https://github.com/alibaba/canal/issues/284
// mysql5.6需要设置slave_uuid避免被server kill链接
update("set @slave_uuid=uuid()");
} catch (Exception e) {
if (!StringUtils.contains(e.getMessage(), "Unknown system variable")) {
logger.warn("update slave_uuid failed", e);
}
}
try {
// mariadb针对特殊的类型，需要设置session变量
update("SET @mariadb_slave_capability='" + LogEvent.MARIA_SLAVE_CAPABILITY_MINE + "'");
} catch (Exception e) {
if (!StringUtils.contains(e.getMessage(), "Unknown system variable")) {
logger.warn("update mariadb_slave_capability failed", e);
}
}
/**
* MASTER_HEARTBEAT_PERIOD sets the interval in seconds between
* replication heartbeats. Whenever the master's binary log is updated
* with an event, the waiting period for the next heartbeat is reset.
* interval is a decimal value having the range 0 to 4294967 seconds and
* a resolution in milliseconds; the smallest nonzero value is 0.001.
* Heartbeats are sent by the master only if there are no unsent events
* in the binary log file for a period longer than interval.
*/
try {
long periodNano = TimeUnit.SECONDS.toNanos(MASTER_HEARTBEAT_PERIOD_SECONDS);
update("SET @master_heartbeat_period=" + periodNano);
} catch (Exception e) {
logger.warn("update master_heartbeat_period failed", e);
}
}
|
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] |
the settings that will need to be checked or set:<br>
<ol>
<li>wait_timeout</li>
<li>net_write_timeout</li>
<li>net_read_timeout</li>
</ol>
@throws IOException
|
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] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/MysqlConnection.java#L389-L461
|
train
|
Update the settings.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/ExceptionUtils.java
|
ExceptionUtils.tryRethrowIOException
|
public static void tryRethrowIOException(Throwable t) throws IOException {
if (t instanceof IOException) {
throw (IOException) t;
}
else if (t instanceof RuntimeException) {
throw (RuntimeException) t;
}
else if (t instanceof Error) {
throw (Error) t;
}
}
|
java
|
public static void tryRethrowIOException(Throwable t) throws IOException {
if (t instanceof IOException) {
throw (IOException) t;
}
else if (t instanceof RuntimeException) {
throw (RuntimeException) t;
}
else if (t instanceof Error) {
throw (Error) t;
}
}
|
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Tries to throw the given {@code Throwable} in scenarios where the signatures allows only IOExceptions
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a RuntimeException, or an Error. Otherwise does nothing.
@param t The Throwable to be thrown.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/ExceptionUtils.java#L281-L291
|
train
|
Try to throw an IOException.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java
|
IoUtil.copy
|
public static long copy(ReadableByteChannel in, WritableByteChannel out) throws IORuntimeException {
return copy(in, out, DEFAULT_BUFFER_SIZE);
}
|
java
|
public static long copy(ReadableByteChannel in, WritableByteChannel out) throws IORuntimeException {
return copy(in, out, DEFAULT_BUFFER_SIZE);
}
|
[
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"copy",
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"out",
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拷贝流，使用NIO，不会关闭流
@param in {@link ReadableByteChannel}
@param out {@link WritableByteChannel}
@return 拷贝的字节数
@throws IORuntimeException IO异常
@since 4.5.0
|
[
"拷贝流，使用NIO，不会关闭流"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L236-L238
|
train
|
Copies the contents of the given channel to the given channel.
|
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30526
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/mail/MailUtil.java
|
MailUtil.send
|
public static void send(MailAccount mailAccount, Collection<String> tos, Collection<String> ccs, Collection<String> bccs, String subject, String content, boolean isHtml, File... files) {
final Mail mail = Mail.create(mailAccount);
//可选抄送人
if(CollUtil.isNotEmpty(ccs)) {
mail.setCcs(ccs.toArray(new String[ccs.size()]));
}
//可选密送人
if(CollUtil.isNotEmpty(bccs)) {
mail.setBccs(bccs.toArray(new String[bccs.size()]));
}
mail.setTos(tos.toArray(new String[tos.size()]));
mail.setTitle(subject);
mail.setContent(content);
mail.setHtml(isHtml);
mail.setFiles(files);
mail.send();
}
|
java
|
public static void send(MailAccount mailAccount, Collection<String> tos, Collection<String> ccs, Collection<String> bccs, String subject, String content, boolean isHtml, File... files) {
final Mail mail = Mail.create(mailAccount);
//可选抄送人
if(CollUtil.isNotEmpty(ccs)) {
mail.setCcs(ccs.toArray(new String[ccs.size()]));
}
//可选密送人
if(CollUtil.isNotEmpty(bccs)) {
mail.setBccs(bccs.toArray(new String[bccs.size()]));
}
mail.setTos(tos.toArray(new String[tos.size()]));
mail.setTitle(subject);
mail.setContent(content);
mail.setHtml(isHtml);
mail.setFiles(files);
mail.send();
}
|
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] |
发送邮件给多人
@param mailAccount 邮件认证对象
@param tos 收件人列表
@param ccs 抄送人列表，可以为null或空
@param bccs 密送人列表，可以为null或空
@param subject 标题
@param content 正文
@param isHtml 是否为HTML格式
@param files 附件列表
@since 4.0.3
|
[
"发送邮件给多人"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/mail/MailUtil.java#L180-L199
|
train
|
Creates and sends a single CE message to the specified EmailAccount.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/DaoTemplate.java
|
DaoTemplate.findBySql
|
public List<Entity> findBySql(String sql, Object... params) throws SQLException {
String selectKeyword = StrUtil.subPre(sql.trim(), 6).toLowerCase();
if(false == "select".equals(selectKeyword)){
sql = "SELECT * FROM " + this.tableName + " " + sql;
}
return db.query(sql, new EntityListHandler(), params);
}
|
java
|
public List<Entity> findBySql(String sql, Object... params) throws SQLException {
String selectKeyword = StrUtil.subPre(sql.trim(), 6).toLowerCase();
if(false == "select".equals(selectKeyword)){
sql = "SELECT * FROM " + this.tableName + " " + sql;
}
return db.query(sql, new EntityListHandler(), params);
}
|
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根据SQL语句查询结果<br>
SQL语句可以是非完整SQL语句，可以只提供查询的条件部分（例如WHERE部分）<br>
此方法会自动补全SELECT * FROM [tableName] 部分，这样就无需关心表名，直接提供条件即可
@param sql SQL语句
@param params SQL占位符中对应的参数
@return 记录
@throws SQLException SQL执行异常
|
[
"根据SQL语句查询结果<br",
">",
"SQL语句可以是非完整SQL语句，可以只提供查询的条件部分（例如WHERE部分）<br",
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"此方法会自动补全SELECT",
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"FROM",
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"]",
"部分，这样就无需关心表名，直接提供条件即可"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/DaoTemplate.java#L292-L298
|
train
|
Find by sql.
|
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/DefaultHttp2RemoteFlowController.java
|
DefaultHttp2RemoteFlowController.channelHandlerContext
|
@Override
public void channelHandlerContext(ChannelHandlerContext ctx) throws Http2Exception {
this.ctx = checkNotNull(ctx, "ctx");
// Writing the pending bytes will not check writability change and instead a writability change notification
// to be provided by an explicit call.
channelWritabilityChanged();
// Don't worry about cleaning up queued frames here if ctx is null. It is expected that all streams will be
// closed and the queue cleanup will occur when the stream state transitions occur.
// If any frames have been queued up, we should send them now that we have a channel context.
if (isChannelWritable()) {
writePendingBytes();
}
}
|
java
|
@Override
public void channelHandlerContext(ChannelHandlerContext ctx) throws Http2Exception {
this.ctx = checkNotNull(ctx, "ctx");
// Writing the pending bytes will not check writability change and instead a writability change notification
// to be provided by an explicit call.
channelWritabilityChanged();
// Don't worry about cleaning up queued frames here if ctx is null. It is expected that all streams will be
// closed and the queue cleanup will occur when the stream state transitions occur.
// If any frames have been queued up, we should send them now that we have a channel context.
if (isChannelWritable()) {
writePendingBytes();
}
}
|
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{@inheritDoc}
<p>
Any queued {@link FlowControlled} objects will be sent.
|
[
"{"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/DefaultHttp2RemoteFlowController.java#L133-L148
|
train
|
Called by the Http2ServerChannelHandler interface to notify the channel that a context has been set.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/undertow/UndertowReactiveWebServerFactory.java
|
UndertowReactiveWebServerFactory.setBuilderCustomizers
|
public void setBuilderCustomizers(
Collection<? extends UndertowBuilderCustomizer> customizers) {
Assert.notNull(customizers, "Customizers must not be null");
this.builderCustomizers = new ArrayList<>(customizers);
}
|
java
|
public void setBuilderCustomizers(
Collection<? extends UndertowBuilderCustomizer> customizers) {
Assert.notNull(customizers, "Customizers must not be null");
this.builderCustomizers = new ArrayList<>(customizers);
}
|
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Set {@link UndertowBuilderCustomizer}s that should be applied to the Undertow
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@param customizers the customizers 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/undertow/UndertowReactiveWebServerFactory.java#L302-L306
|
train
|
Sets the customizers to be used for building the underlying builder.
|
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alibaba/canal
|
store/src/main/java/com/alibaba/otter/canal/store/helper/CanalEventUtils.java
|
CanalEventUtils.createPosition
|
public static LogPosition createPosition(Event event, boolean included) {
EntryPosition position = new EntryPosition();
position.setJournalName(event.getJournalName());
position.setPosition(event.getPosition());
position.setTimestamp(event.getExecuteTime());
position.setIncluded(included);
LogPosition logPosition = new LogPosition();
logPosition.setPostion(position);
logPosition.setIdentity(event.getLogIdentity());
return logPosition;
}
|
java
|
public static LogPosition createPosition(Event event, boolean included) {
EntryPosition position = new EntryPosition();
position.setJournalName(event.getJournalName());
position.setPosition(event.getPosition());
position.setTimestamp(event.getExecuteTime());
position.setIncluded(included);
LogPosition logPosition = new LogPosition();
logPosition.setPostion(position);
logPosition.setIdentity(event.getLogIdentity());
return logPosition;
}
|
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根据entry创建对应的Position对象
|
[
"根据entry创建对应的Position对象"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/store/src/main/java/com/alibaba/otter/canal/store/helper/CanalEventUtils.java#L67-L78
|
train
|
Creates a log position object.
|
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30526
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networknt/light-4j
|
utility/src/main/java/com/networknt/utility/NioUtils.java
|
NioUtils.getTempDir
|
public static String getTempDir() {
// default is user home directory
String tempDir = System.getProperty("user.home");
try{
//create a temp file
File temp = File.createTempFile("A0393939", ".tmp");
//Get tempropary file path
String absolutePath = temp.getAbsolutePath();
tempDir = absolutePath.substring(0,absolutePath.lastIndexOf(File.separator));
}catch(IOException e){}
return tempDir;
}
|
java
|
public static String getTempDir() {
// default is user home directory
String tempDir = System.getProperty("user.home");
try{
//create a temp file
File temp = File.createTempFile("A0393939", ".tmp");
//Get tempropary file path
String absolutePath = temp.getAbsolutePath();
tempDir = absolutePath.substring(0,absolutePath.lastIndexOf(File.separator));
}catch(IOException e){}
return tempDir;
}
|
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get temp dir from OS.
@return String temp dir
|
[
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] |
2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/utility/src/main/java/com/networknt/utility/NioUtils.java#L279-L290
|
train
|
Get the temp directory.
|
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networknt/light-4j
|
dump/src/main/java/com/networknt/dump/BodyDumper.java
|
BodyDumper.dumpResponse
|
@Override
public void dumpResponse(Map<String, Object> result) {
byte[] responseBodyAttachment = exchange.getAttachment(StoreResponseStreamSinkConduit.RESPONSE);
if(responseBodyAttachment != null) {
this.bodyContent = config.isMaskEnabled() ? Mask.maskJson(new ByteArrayInputStream(responseBodyAttachment), "responseBody") : new String(responseBodyAttachment, UTF_8);
}
this.putDumpInfoTo(result);
}
|
java
|
@Override
public void dumpResponse(Map<String, Object> result) {
byte[] responseBodyAttachment = exchange.getAttachment(StoreResponseStreamSinkConduit.RESPONSE);
if(responseBodyAttachment != null) {
this.bodyContent = config.isMaskEnabled() ? Mask.maskJson(new ByteArrayInputStream(responseBodyAttachment), "responseBody") : new String(responseBodyAttachment, UTF_8);
}
this.putDumpInfoTo(result);
}
|
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impl of dumping response body to result
@param result A map you want to put dump information to
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/dump/src/main/java/com/networknt/dump/BodyDumper.java#L85-L92
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train
|
Dump response to result
|
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java
|
SecureUtil.generatePublicKey
|
public static PublicKey generatePublicKey(String algorithm, KeySpec keySpec) {
return KeyUtil.generatePublicKey(algorithm, keySpec);
}
|
java
|
public static PublicKey generatePublicKey(String algorithm, KeySpec keySpec) {
return KeyUtil.generatePublicKey(algorithm, keySpec);
}
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生成公钥，仅用于非对称加密<br>
算法见：https://docs.oracle.com/javase/7/docs/technotes/guides/security/StandardNames.html#KeyFactory
@param algorithm 算法
@param keySpec {@link KeySpec}
@return 公钥 {@link PublicKey}
@since 3.1.1
|
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
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https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L191-L193
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train
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Generates a public key using the specified algorithm and key spec.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/Validator.java
|
Validator.validateCitizenIdNumber
|
public static <T extends CharSequence> T validateCitizenIdNumber(T value, String errorMsg) throws ValidateException {
if (false == isCitizenId(value)) {
throw new ValidateException(errorMsg);
}
return value;
}
|
java
|
public static <T extends CharSequence> T validateCitizenIdNumber(T value, String errorMsg) throws ValidateException {
if (false == isCitizenId(value)) {
throw new ValidateException(errorMsg);
}
return value;
}
|
[
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"errorMsg",
")",
";",
"}",
"return",
"value",
";",
"}"
] |
验证是否为身份证号码（18位中国）<br>
出生日期只支持到到2999年
@param <T> 字符串类型
@param value 值
@param errorMsg 验证错误的信息
@return 验证后的值
@throws ValidateException 验证异常
|
[
"验证是否为身份证号码（18位中国）<br",
">",
"出生日期只支持到到2999年"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/Validator.java#L705-L710
|
train
|
Validate a Citizen Id number.
|
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apache/incubator-shardingsphere
|
sharding-jdbc/sharding-jdbc-core/src/main/java/org/apache/shardingsphere/shardingjdbc/executor/StatementExecutor.java
|
StatementExecutor.executeUpdate
|
public int executeUpdate() throws SQLException {
return executeUpdate(new Updater() {
@Override
public int executeUpdate(final Statement statement, final String sql) throws SQLException {
return statement.executeUpdate(sql);
}
});
}
|
java
|
public int executeUpdate() throws SQLException {
return executeUpdate(new Updater() {
@Override
public int executeUpdate(final Statement statement, final String sql) throws SQLException {
return statement.executeUpdate(sql);
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});
}
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Execute update.
@return effected records count
@throws SQLException SQL exception
|
[
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"."
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-jdbc/sharding-jdbc-core/src/main/java/org/apache/shardingsphere/shardingjdbc/executor/StatementExecutor.java#L116-L124
|
train
|
Execute an SQL update.
|
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netty/netty
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transport/src/main/java/io/netty/bootstrap/Bootstrap.java
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Bootstrap.resolver
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@SuppressWarnings("unchecked")
public Bootstrap resolver(AddressResolverGroup<?> resolver) {
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java
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@SuppressWarnings("unchecked")
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"address",
"."
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/bootstrap/Bootstrap.java#L78-L82
|
train
|
Sets the address resolver group.
|
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30526
] |
apache/spark
|
sql/catalyst/src/main/java/org/apache/spark/sql/catalog/v2/expressions/Expressions.java
|
Expressions.bucket
|
public Transform bucket(int numBuckets, String... columns) {
return LogicalExpressions.bucket(numBuckets,
JavaConverters.asScalaBuffer(Arrays.asList(columns)).toSeq());
}
|
java
|
public Transform bucket(int numBuckets, String... columns) {
return LogicalExpressions.bucket(numBuckets,
JavaConverters.asScalaBuffer(Arrays.asList(columns)).toSeq());
}
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Create a bucket transform for one or more columns.
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This transform represents a logical mapping from a value to a bucket id in [0, numBuckets)
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<p>
The name reported by transforms created with this method is "bucket".
@param numBuckets the number of output buckets
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@return a logical bucket transform with name "bucket"
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalog/v2/expressions/Expressions.java#L84-L87
|
train
|
Transform a sequence of columns to a sequence of buckets.
|
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30526
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apache/incubator-shardingsphere
|
sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/old/parser/clause/expression/AliasExpressionParser.java
|
AliasExpressionParser.parseSelectItemAlias
|
public Optional<String> parseSelectItemAlias() {
if (lexerEngine.skipIfEqual(DefaultKeyword.AS)) {
return parseWithAs(null, false, null);
}
if (lexerEngine.equalAny(getDefaultAvailableKeywordsForSelectItemAlias()) || lexerEngine.equalAny(getCustomizedAvailableKeywordsForSelectItemAlias())) {
return parseAlias(null, false, null);
}
return Optional.absent();
}
|
java
|
public Optional<String> parseSelectItemAlias() {
if (lexerEngine.skipIfEqual(DefaultKeyword.AS)) {
return parseWithAs(null, false, null);
}
if (lexerEngine.equalAny(getDefaultAvailableKeywordsForSelectItemAlias()) || lexerEngine.equalAny(getCustomizedAvailableKeywordsForSelectItemAlias())) {
return parseAlias(null, false, null);
}
return Optional.absent();
}
|
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Parse alias for select item.
@return alias for select item
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-parse/sharding-core-parse-common/src/main/java/org/apache/shardingsphere/core/parse/old/parser/clause/expression/AliasExpressionParser.java#L49-L57
|
train
|
Parse select item alias.
|
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looly/hutool
|
hutool-json/src/main/java/cn/hutool/json/JSONObject.java
|
JSONObject.putOpt
|
public JSONObject putOpt(String key, Object value) throws JSONException {
if (key != null && value != null) {
this.put(key, value);
}
return this;
}
|
java
|
public JSONObject putOpt(String key, Object value) throws JSONException {
if (key != null && value != null) {
this.put(key, value);
}
return this;
}
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在键和值都为非空的情况下put到JSONObject中
@param key 键
@param value 值对象，可以是以下类型: Boolean, Double, Integer, JSONArray, JSONObject, Long, String, or the JSONNull.NULL.
@return this.
@throws JSONException 值是无穷数字
|
[
"在键和值都为非空的情况下put到JSONObject中"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONObject.java#L422-L427
|
train
|
Add an option to the
this object.
|
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apache/flink
|
flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/plan/rules/logical/FlinkAggregateExpandDistinctAggregatesRule.java
|
FlinkAggregateExpandDistinctAggregatesRule.convertSingletonDistinct
|
private RelBuilder convertSingletonDistinct(RelBuilder relBuilder,
Aggregate aggregate, Set<Pair<List<Integer>, Integer>> argLists) {
// In this case, we are assuming that there is a single distinct function.
// So make sure that argLists is of size one.
Preconditions.checkArgument(argLists.size() == 1);
// For example,
// SELECT deptno, COUNT(*), SUM(bonus), MIN(DISTINCT sal)
// FROM emp
// GROUP BY deptno
//
// becomes
//
// SELECT deptno, SUM(cnt), SUM(bonus), MIN(sal)
// FROM (
// SELECT deptno, COUNT(*) as cnt, SUM(bonus), sal
// FROM EMP
// GROUP BY deptno, sal) // Aggregate B
// GROUP BY deptno // Aggregate A
relBuilder.push(aggregate.getInput());
final List<AggregateCall> originalAggCalls = aggregate.getAggCallList();
final ImmutableBitSet originalGroupSet = aggregate.getGroupSet();
// Add the distinct aggregate column(s) to the group-by columns,
// if not already a part of the group-by
final SortedSet<Integer> bottomGroupSet = new TreeSet<>();
bottomGroupSet.addAll(aggregate.getGroupSet().asList());
for (AggregateCall aggCall : originalAggCalls) {
if (aggCall.isDistinct()) {
bottomGroupSet.addAll(aggCall.getArgList());
break; // since we only have single distinct call
}
}
// Generate the intermediate aggregate B, the one on the bottom that converts
// a distinct call to group by call.
// Bottom aggregate is the same as the original aggregate, except that
// the bottom aggregate has converted the DISTINCT aggregate to a group by clause.
final List<AggregateCall> bottomAggregateCalls = new ArrayList<>();
for (AggregateCall aggCall : originalAggCalls) {
// Project the column corresponding to the distinct aggregate. Project
// as-is all the non-distinct aggregates
if (!aggCall.isDistinct()) {
final AggregateCall newCall =
AggregateCall.create(aggCall.getAggregation(), false,
aggCall.isApproximate(), aggCall.getArgList(), -1,
ImmutableBitSet.of(bottomGroupSet).cardinality(),
relBuilder.peek(), null, aggCall.name);
bottomAggregateCalls.add(newCall);
}
}
// Generate the aggregate B (see the reference example above)
relBuilder.push(
aggregate.copy(
aggregate.getTraitSet(), relBuilder.build(),
false, ImmutableBitSet.of(bottomGroupSet), null, bottomAggregateCalls));
// Add aggregate A (see the reference example above), the top aggregate
// to handle the rest of the aggregation that the bottom aggregate hasn't handled
final List<AggregateCall> topAggregateCalls = com.google.common.collect.Lists.newArrayList();
// Use the remapped arguments for the (non)distinct aggregate calls
int nonDistinctAggCallProcessedSoFar = 0;
for (AggregateCall aggCall : originalAggCalls) {
final AggregateCall newCall;
if (aggCall.isDistinct()) {
List<Integer> newArgList = new ArrayList<>();
for (int arg : aggCall.getArgList()) {
newArgList.add(bottomGroupSet.headSet(arg).size());
}
newCall =
AggregateCall.create(aggCall.getAggregation(),
false,
aggCall.isApproximate(),
newArgList,
-1,
originalGroupSet.cardinality(),
relBuilder.peek(),
aggCall.getType(),
aggCall.name);
} else {
// If aggregate B had a COUNT aggregate call the corresponding aggregate at
// aggregate A must be SUM. For other aggregates, it remains the same.
final List<Integer> newArgs =
com.google.common.collect.Lists.newArrayList(
bottomGroupSet.size() + nonDistinctAggCallProcessedSoFar);
if (aggCall.getAggregation().getKind() == SqlKind.COUNT) {
newCall =
AggregateCall.create(new SqlSumEmptyIsZeroAggFunction(), false,
aggCall.isApproximate(), newArgs, -1,
originalGroupSet.cardinality(), relBuilder.peek(),
aggCall.getType(), aggCall.getName());
} else {
newCall =
AggregateCall.create(aggCall.getAggregation(), false,
aggCall.isApproximate(), newArgs, -1,
originalGroupSet.cardinality(),
relBuilder.peek(), aggCall.getType(), aggCall.name);
}
nonDistinctAggCallProcessedSoFar++;
}
topAggregateCalls.add(newCall);
}
// Populate the group-by keys with the remapped arguments for aggregate A
// The top groupset is basically an identity (first X fields of aggregate B's
// output), minus the distinct aggCall's input.
final Set<Integer> topGroupSet = new HashSet<>();
int groupSetToAdd = 0;
for (int bottomGroup : bottomGroupSet) {
if (originalGroupSet.get(bottomGroup)) {
topGroupSet.add(groupSetToAdd);
}
groupSetToAdd++;
}
relBuilder.push(
aggregate.copy(aggregate.getTraitSet(),
relBuilder.build(), aggregate.indicator,
ImmutableBitSet.of(topGroupSet), null, topAggregateCalls));
return relBuilder;
}
|
java
|
private RelBuilder convertSingletonDistinct(RelBuilder relBuilder,
Aggregate aggregate, Set<Pair<List<Integer>, Integer>> argLists) {
// In this case, we are assuming that there is a single distinct function.
// So make sure that argLists is of size one.
Preconditions.checkArgument(argLists.size() == 1);
// For example,
// SELECT deptno, COUNT(*), SUM(bonus), MIN(DISTINCT sal)
// FROM emp
// GROUP BY deptno
//
// becomes
//
// SELECT deptno, SUM(cnt), SUM(bonus), MIN(sal)
// FROM (
// SELECT deptno, COUNT(*) as cnt, SUM(bonus), sal
// FROM EMP
// GROUP BY deptno, sal) // Aggregate B
// GROUP BY deptno // Aggregate A
relBuilder.push(aggregate.getInput());
final List<AggregateCall> originalAggCalls = aggregate.getAggCallList();
final ImmutableBitSet originalGroupSet = aggregate.getGroupSet();
// Add the distinct aggregate column(s) to the group-by columns,
// if not already a part of the group-by
final SortedSet<Integer> bottomGroupSet = new TreeSet<>();
bottomGroupSet.addAll(aggregate.getGroupSet().asList());
for (AggregateCall aggCall : originalAggCalls) {
if (aggCall.isDistinct()) {
bottomGroupSet.addAll(aggCall.getArgList());
break; // since we only have single distinct call
}
}
// Generate the intermediate aggregate B, the one on the bottom that converts
// a distinct call to group by call.
// Bottom aggregate is the same as the original aggregate, except that
// the bottom aggregate has converted the DISTINCT aggregate to a group by clause.
final List<AggregateCall> bottomAggregateCalls = new ArrayList<>();
for (AggregateCall aggCall : originalAggCalls) {
// Project the column corresponding to the distinct aggregate. Project
// as-is all the non-distinct aggregates
if (!aggCall.isDistinct()) {
final AggregateCall newCall =
AggregateCall.create(aggCall.getAggregation(), false,
aggCall.isApproximate(), aggCall.getArgList(), -1,
ImmutableBitSet.of(bottomGroupSet).cardinality(),
relBuilder.peek(), null, aggCall.name);
bottomAggregateCalls.add(newCall);
}
}
// Generate the aggregate B (see the reference example above)
relBuilder.push(
aggregate.copy(
aggregate.getTraitSet(), relBuilder.build(),
false, ImmutableBitSet.of(bottomGroupSet), null, bottomAggregateCalls));
// Add aggregate A (see the reference example above), the top aggregate
// to handle the rest of the aggregation that the bottom aggregate hasn't handled
final List<AggregateCall> topAggregateCalls = com.google.common.collect.Lists.newArrayList();
// Use the remapped arguments for the (non)distinct aggregate calls
int nonDistinctAggCallProcessedSoFar = 0;
for (AggregateCall aggCall : originalAggCalls) {
final AggregateCall newCall;
if (aggCall.isDistinct()) {
List<Integer> newArgList = new ArrayList<>();
for (int arg : aggCall.getArgList()) {
newArgList.add(bottomGroupSet.headSet(arg).size());
}
newCall =
AggregateCall.create(aggCall.getAggregation(),
false,
aggCall.isApproximate(),
newArgList,
-1,
originalGroupSet.cardinality(),
relBuilder.peek(),
aggCall.getType(),
aggCall.name);
} else {
// If aggregate B had a COUNT aggregate call the corresponding aggregate at
// aggregate A must be SUM. For other aggregates, it remains the same.
final List<Integer> newArgs =
com.google.common.collect.Lists.newArrayList(
bottomGroupSet.size() + nonDistinctAggCallProcessedSoFar);
if (aggCall.getAggregation().getKind() == SqlKind.COUNT) {
newCall =
AggregateCall.create(new SqlSumEmptyIsZeroAggFunction(), false,
aggCall.isApproximate(), newArgs, -1,
originalGroupSet.cardinality(), relBuilder.peek(),
aggCall.getType(), aggCall.getName());
} else {
newCall =
AggregateCall.create(aggCall.getAggregation(), false,
aggCall.isApproximate(), newArgs, -1,
originalGroupSet.cardinality(),
relBuilder.peek(), aggCall.getType(), aggCall.name);
}
nonDistinctAggCallProcessedSoFar++;
}
topAggregateCalls.add(newCall);
}
// Populate the group-by keys with the remapped arguments for aggregate A
// The top groupset is basically an identity (first X fields of aggregate B's
// output), minus the distinct aggCall's input.
final Set<Integer> topGroupSet = new HashSet<>();
int groupSetToAdd = 0;
for (int bottomGroup : bottomGroupSet) {
if (originalGroupSet.get(bottomGroup)) {
topGroupSet.add(groupSetToAdd);
}
groupSetToAdd++;
}
relBuilder.push(
aggregate.copy(aggregate.getTraitSet(),
relBuilder.build(), aggregate.indicator,
ImmutableBitSet.of(topGroupSet), null, topAggregateCalls));
return relBuilder;
}
|
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] |
Converts an aggregate with one distinct aggregate and one or more
non-distinct aggregates to multi-phase aggregates (see reference example
below).
@param relBuilder Contains the input relational expression
@param aggregate Original aggregate
@param argLists Arguments and filters to the distinct aggregate function
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/plan/rules/logical/FlinkAggregateExpandDistinctAggregatesRule.java#L275-L397
|
train
|
Convert a singleton DISTINCT aggregate to a single - distinct relationship.
|
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apache/flink
|
flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/gateway/local/result/MaterializedCollectStreamResult.java
|
MaterializedCollectStreamResult.processInsert
|
private void processInsert(Row row) {
// limit the materialized table
if (materializedTable.size() - validRowPosition >= maxRowCount) {
cleanUp();
}
materializedTable.add(row);
rowPositionCache.put(row, materializedTable.size() - 1);
}
|
java
|
private void processInsert(Row row) {
// limit the materialized table
if (materializedTable.size() - validRowPosition >= maxRowCount) {
cleanUp();
}
materializedTable.add(row);
rowPositionCache.put(row, materializedTable.size() - 1);
}
|
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/gateway/local/result/MaterializedCollectStreamResult.java#L204-L211
|
train
|
Insert a new row into the materialized table.
|
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apache/flink
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flink-java/src/main/java/org/apache/flink/api/java/operators/UnsortedGrouping.java
|
UnsortedGrouping.sortGroup
|
public <K> SortedGrouping<T> sortGroup(KeySelector<T, K> keySelector, Order order) {
if (!(this.getKeys() instanceof Keys.SelectorFunctionKeys)) {
throw new InvalidProgramException("KeySelector group-sorting keys can only be used with KeySelector grouping keys.");
}
TypeInformation<K> keyType = TypeExtractor.getKeySelectorTypes(keySelector, this.inputDataSet.getType());
SortedGrouping<T> sg = new SortedGrouping<T>(this.inputDataSet, this.keys, new Keys.SelectorFunctionKeys<T, K>(keySelector, this.inputDataSet.getType(), keyType), order);
sg.customPartitioner = getCustomPartitioner();
return sg;
}
|
java
|
public <K> SortedGrouping<T> sortGroup(KeySelector<T, K> keySelector, Order order) {
if (!(this.getKeys() instanceof Keys.SelectorFunctionKeys)) {
throw new InvalidProgramException("KeySelector group-sorting keys can only be used with KeySelector grouping keys.");
}
TypeInformation<K> keyType = TypeExtractor.getKeySelectorTypes(keySelector, this.inputDataSet.getType());
SortedGrouping<T> sg = new SortedGrouping<T>(this.inputDataSet, this.keys, new Keys.SelectorFunctionKeys<T, K>(keySelector, this.inputDataSet.getType(), keyType), order);
sg.customPartitioner = getCustomPartitioner();
return sg;
}
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Sorts elements within a group on a key extracted by the specified {@link org.apache.flink.api.java.functions.KeySelector}
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@param keySelector The KeySelector with which the group is sorted.
@param order The Order in which the extracted key is sorted.
@return A SortedGrouping with specified order of group element.
@see Order
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/operators/UnsortedGrouping.java#L316-L325
|
train
|
Sort the data set using the given key selector and order.
|
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryFormat.java
|
BinaryFormat.readBinaryFieldFromSegments
|
static byte[] readBinaryFieldFromSegments(
MemorySegment[] segments, int baseOffset, int fieldOffset,
long variablePartOffsetAndLen) {
long mark = variablePartOffsetAndLen & HIGHEST_FIRST_BIT;
if (mark == 0) {
final int subOffset = (int) (variablePartOffsetAndLen >> 32);
final int len = (int) variablePartOffsetAndLen;
return SegmentsUtil.copyToBytes(segments, baseOffset + subOffset, len);
} else {
int len = (int) ((variablePartOffsetAndLen & HIGHEST_SECOND_TO_EIGHTH_BIT) >>> 56);
if (SegmentsUtil.LITTLE_ENDIAN) {
return SegmentsUtil.copyToBytes(segments, fieldOffset, len);
} else {
// fieldOffset + 1 to skip header.
return SegmentsUtil.copyToBytes(segments, fieldOffset + 1, len);
}
}
}
|
java
|
static byte[] readBinaryFieldFromSegments(
MemorySegment[] segments, int baseOffset, int fieldOffset,
long variablePartOffsetAndLen) {
long mark = variablePartOffsetAndLen & HIGHEST_FIRST_BIT;
if (mark == 0) {
final int subOffset = (int) (variablePartOffsetAndLen >> 32);
final int len = (int) variablePartOffsetAndLen;
return SegmentsUtil.copyToBytes(segments, baseOffset + subOffset, len);
} else {
int len = (int) ((variablePartOffsetAndLen & HIGHEST_SECOND_TO_EIGHTH_BIT) >>> 56);
if (SegmentsUtil.LITTLE_ENDIAN) {
return SegmentsUtil.copyToBytes(segments, fieldOffset, len);
} else {
// fieldOffset + 1 to skip header.
return SegmentsUtil.copyToBytes(segments, fieldOffset + 1, len);
}
}
}
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Get binary, if len less than 8, will be include in variablePartOffsetAndLen.
<p>Note: Need to consider the ByteOrder.
@param baseOffset base offset of composite binary format.
@param fieldOffset absolute start offset of 'variablePartOffsetAndLen'.
@param variablePartOffsetAndLen a long value, real data or offset and len.
|
[
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"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/dataformat/BinaryFormat.java#L119-L136
|
train
|
Read binary field from segments.
|
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apache/flink
|
flink-table/flink-table-common/src/main/java/org/apache/flink/table/descriptors/Schema.java
|
Schema.field
|
public Schema field(String fieldName, TypeInformation<?> fieldType) {
field(fieldName, TypeStringUtils.writeTypeInfo(fieldType));
return this;
}
|
java
|
public Schema field(String fieldName, TypeInformation<?> fieldType) {
field(fieldName, TypeStringUtils.writeTypeInfo(fieldType));
return this;
}
|
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Adds a field with the field name and the type information. Required.
This method can be called multiple times. The call order of this method defines
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@param fieldName the field name
@param fieldType the type information of the field
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-common/src/main/java/org/apache/flink/table/descriptors/Schema.java#L76-L79
|
train
|
Create a new field with the given name and type information.
|
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apache/spark
|
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/operation/Operation.java
|
Operation.validateFetchOrientation
|
protected void validateFetchOrientation(FetchOrientation orientation,
EnumSet<FetchOrientation> supportedOrientations) throws HiveSQLException {
if (!supportedOrientations.contains(orientation)) {
throw new HiveSQLException("The fetch type " + orientation.toString() +
" is not supported for this resultset", "HY106");
}
}
|
java
|
protected void validateFetchOrientation(FetchOrientation orientation,
EnumSet<FetchOrientation> supportedOrientations) throws HiveSQLException {
if (!supportedOrientations.contains(orientation)) {
throw new HiveSQLException("The fetch type " + orientation.toString() +
" is not supported for this resultset", "HY106");
}
}
|
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Verify if the given fetch orientation is part of the supported orientation types.
@param orientation
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|
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/operation/Operation.java#L306-L312
|
train
|
Validate the fetch orientation
|
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flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/utils/DataOutputEncoder.java
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DataOutputEncoder.writeFixed
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@Override
public void writeFixed(byte[] bytes, int start, int len) throws IOException {
out.write(bytes, start, len);
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java
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@Override
public void writeFixed(byte[] bytes, int start, int len) throws IOException {
out.write(bytes, start, len);
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--------------------------------------------------------------------------------------------
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[
"--------------------------------------------------------------------------------------------"
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/utils/DataOutputEncoder.java#L83-L86
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train
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apache/flink
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flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java
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Graph.joinWithEdges
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public <T> Graph<K, VV, EV> joinWithEdges(DataSet<Tuple3<K, K, T>> inputDataSet,
final EdgeJoinFunction<EV, T> edgeJoinFunction) {
DataSet<Edge<K, EV>> resultedEdges = this.getEdges()
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return new Graph<>(this.vertices, resultedEdges, this.context);
}
|
java
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public <T> Graph<K, VV, EV> joinWithEdges(DataSet<Tuple3<K, K, T>> inputDataSet,
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DataSet<Edge<K, EV>> resultedEdges = this.getEdges()
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return new Graph<>(this.vertices, resultedEdges, this.context);
}
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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#L728-L736
|
train
|
Join the graph with the input data set using the edge join function.
|
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apache/flink
|
flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/DynamoDBStreamsDataFetcher.java
|
DynamoDBStreamsDataFetcher.createShardConsumer
|
@Override
protected ShardConsumer createShardConsumer(
Integer subscribedShardStateIndex,
StreamShardHandle handle,
SequenceNumber lastSeqNum,
ShardMetricsReporter shardMetricsReporter) {
return new ShardConsumer(
this,
subscribedShardStateIndex,
handle,
lastSeqNum,
DynamoDBStreamsProxy.create(getConsumerConfiguration()),
shardMetricsReporter);
}
|
java
|
@Override
protected ShardConsumer createShardConsumer(
Integer subscribedShardStateIndex,
StreamShardHandle handle,
SequenceNumber lastSeqNum,
ShardMetricsReporter shardMetricsReporter) {
return new ShardConsumer(
this,
subscribedShardStateIndex,
handle,
lastSeqNum,
DynamoDBStreamsProxy.create(getConsumerConfiguration()),
shardMetricsReporter);
}
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/DynamoDBStreamsDataFetcher.java#L94-L108
|
train
|
Override to create a new instance of the ShardConsumer class.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.newArrayList
|
public static <T> ArrayList<T> newArrayList(Collection<T> collection) {
return (ArrayList<T>) list(false, collection);
}
|
java
|
public static <T> ArrayList<T> newArrayList(Collection<T> collection) {
return (ArrayList<T>) list(false, collection);
}
|
[
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"<",
"T",
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"<",
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")",
"list",
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"false",
",",
"collection",
")",
";",
"}"
] |
新建一个ArrayList
@param <T> 集合元素类型
@param collection 集合
@return ArrayList对象
|
[
"新建一个ArrayList"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L642-L644
|
train
|
Creates an ArrayList of the given collection.
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot-tools/spring-boot-gradle-plugin/src/main/java/org/springframework/boot/gradle/tasks/run/BootRun.java
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BootRun.sourceResources
|
public void sourceResources(SourceSet sourceSet) {
setClasspath(getProject()
.files(sourceSet.getResources().getSrcDirs(), getClasspath())
.filter((file) -> !file.equals(sourceSet.getOutput().getResourcesDir())));
}
|
java
|
public void sourceResources(SourceSet sourceSet) {
setClasspath(getProject()
.files(sourceSet.getResources().getSrcDirs(), getClasspath())
.filter((file) -> !file.equals(sourceSet.getOutput().getResourcesDir())));
}
|
[
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Adds the {@link SourceDirectorySet#getSrcDirs() source directories} of the given
{@code sourceSet's} {@link SourceSet#getResources() resources} to the start of the
classpath in place of the {@link SourceSet#getOutput output's}
{@link SourceSetOutput#getResourcesDir() resources directory}.
@param sourceSet the source set
|
[
"Adds",
"the",
"{"
] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-tools/spring-boot-gradle-plugin/src/main/java/org/springframework/boot/gradle/tasks/run/BootRun.java#L39-L43
|
train
|
Source resources.
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30526
] |
apache/spark
|
launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java
|
CommandBuilderUtils.parseOptionString
|
static List<String> parseOptionString(String s) {
List<String> opts = new ArrayList<>();
StringBuilder opt = new StringBuilder();
boolean inOpt = false;
boolean inSingleQuote = false;
boolean inDoubleQuote = false;
boolean escapeNext = false;
// This is needed to detect when a quoted empty string is used as an argument ("" or '').
boolean hasData = false;
for (int i = 0; i < s.length(); i++) {
int c = s.codePointAt(i);
if (escapeNext) {
opt.appendCodePoint(c);
escapeNext = false;
} else if (inOpt) {
switch (c) {
case '\\':
if (inSingleQuote) {
opt.appendCodePoint(c);
} else {
escapeNext = true;
}
break;
case '\'':
if (inDoubleQuote) {
opt.appendCodePoint(c);
} else {
inSingleQuote = !inSingleQuote;
}
break;
case '"':
if (inSingleQuote) {
opt.appendCodePoint(c);
} else {
inDoubleQuote = !inDoubleQuote;
}
break;
default:
if (!Character.isWhitespace(c) || inSingleQuote || inDoubleQuote) {
opt.appendCodePoint(c);
} else {
opts.add(opt.toString());
opt.setLength(0);
inOpt = false;
hasData = false;
}
}
} else {
switch (c) {
case '\'':
inSingleQuote = true;
inOpt = true;
hasData = true;
break;
case '"':
inDoubleQuote = true;
inOpt = true;
hasData = true;
break;
case '\\':
escapeNext = true;
inOpt = true;
hasData = true;
break;
default:
if (!Character.isWhitespace(c)) {
inOpt = true;
hasData = true;
opt.appendCodePoint(c);
}
}
}
}
checkArgument(!inSingleQuote && !inDoubleQuote && !escapeNext, "Invalid option string: %s", s);
if (hasData) {
opts.add(opt.toString());
}
return opts;
}
|
java
|
static List<String> parseOptionString(String s) {
List<String> opts = new ArrayList<>();
StringBuilder opt = new StringBuilder();
boolean inOpt = false;
boolean inSingleQuote = false;
boolean inDoubleQuote = false;
boolean escapeNext = false;
// This is needed to detect when a quoted empty string is used as an argument ("" or '').
boolean hasData = false;
for (int i = 0; i < s.length(); i++) {
int c = s.codePointAt(i);
if (escapeNext) {
opt.appendCodePoint(c);
escapeNext = false;
} else if (inOpt) {
switch (c) {
case '\\':
if (inSingleQuote) {
opt.appendCodePoint(c);
} else {
escapeNext = true;
}
break;
case '\'':
if (inDoubleQuote) {
opt.appendCodePoint(c);
} else {
inSingleQuote = !inSingleQuote;
}
break;
case '"':
if (inSingleQuote) {
opt.appendCodePoint(c);
} else {
inDoubleQuote = !inDoubleQuote;
}
break;
default:
if (!Character.isWhitespace(c) || inSingleQuote || inDoubleQuote) {
opt.appendCodePoint(c);
} else {
opts.add(opt.toString());
opt.setLength(0);
inOpt = false;
hasData = false;
}
}
} else {
switch (c) {
case '\'':
inSingleQuote = true;
inOpt = true;
hasData = true;
break;
case '"':
inDoubleQuote = true;
inOpt = true;
hasData = true;
break;
case '\\':
escapeNext = true;
inOpt = true;
hasData = true;
break;
default:
if (!Character.isWhitespace(c)) {
inOpt = true;
hasData = true;
opt.appendCodePoint(c);
}
}
}
}
checkArgument(!inSingleQuote && !inDoubleQuote && !escapeNext, "Invalid option string: %s", s);
if (hasData) {
opts.add(opt.toString());
}
return opts;
}
|
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] |
Parse a string as if it were a list of arguments, following bash semantics.
For example:
Input: "\"ab cd\" efgh 'i \" j'"
Output: [ "ab cd", "efgh", "i \" j" ]
|
[
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] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java#L128-L209
|
train
|
Parse a string containing a list of options.
|
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netty/netty
|
codec-dns/src/main/java/io/netty/handler/codec/dns/DatagramDnsQueryEncoder.java
|
DatagramDnsQueryEncoder.encodeHeader
|
private static void encodeHeader(DnsQuery query, ByteBuf buf) {
buf.writeShort(query.id());
int flags = 0;
flags |= (query.opCode().byteValue() & 0xFF) << 14;
if (query.isRecursionDesired()) {
flags |= 1 << 8;
}
buf.writeShort(flags);
buf.writeShort(query.count(DnsSection.QUESTION));
buf.writeShort(0); // answerCount
buf.writeShort(0); // authorityResourceCount
buf.writeShort(query.count(DnsSection.ADDITIONAL));
}
|
java
|
private static void encodeHeader(DnsQuery query, ByteBuf buf) {
buf.writeShort(query.id());
int flags = 0;
flags |= (query.opCode().byteValue() & 0xFF) << 14;
if (query.isRecursionDesired()) {
flags |= 1 << 8;
}
buf.writeShort(flags);
buf.writeShort(query.count(DnsSection.QUESTION));
buf.writeShort(0); // answerCount
buf.writeShort(0); // authorityResourceCount
buf.writeShort(query.count(DnsSection.ADDITIONAL));
}
|
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Encodes the header that is always 12 bytes long.
@param query the query header being encoded
@param buf the buffer the encoded data should be written to
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-dns/src/main/java/io/netty/handler/codec/dns/DatagramDnsQueryEncoder.java#L95-L107
|
train
|
Encode the header of a DNS query.
|
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apache/flink
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flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/ShardConsumer.java
|
ShardConsumer.getShardIterator
|
protected String getShardIterator(SequenceNumber sequenceNumber) throws Exception {
if (isSentinelSequenceNumber(sequenceNumber)) {
return getShardIteratorForSentinel(sequenceNumber);
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// we will be starting from an actual sequence number (due to restore from failure).
return getShardIteratorForRealSequenceNumber(sequenceNumber);
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}
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java
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protected String getShardIterator(SequenceNumber sequenceNumber) throws Exception {
if (isSentinelSequenceNumber(sequenceNumber)) {
return getShardIteratorForSentinel(sequenceNumber);
} else {
// we will be starting from an actual sequence number (due to restore from failure).
return getShardIteratorForRealSequenceNumber(sequenceNumber);
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}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/ShardConsumer.java#L148-L156
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train
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Get the shard iterator for the given sequence number.
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apache/flink
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flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/rank/AbstractTopNFunction.java
|
AbstractTopNFunction.checkSortKeyInBufferRange
|
protected boolean checkSortKeyInBufferRange(BaseRow sortKey, TopNBuffer buffer) {
Comparator<BaseRow> comparator = buffer.getSortKeyComparator();
Map.Entry<BaseRow, Collection<BaseRow>> worstEntry = buffer.lastEntry();
if (worstEntry == null) {
// return true if the buffer is empty.
return true;
} else {
BaseRow worstKey = worstEntry.getKey();
int compare = comparator.compare(sortKey, worstKey);
if (compare < 0) {
return true;
} else {
return buffer.getCurrentTopNum() < getDefaultTopNSize();
}
}
}
|
java
|
protected boolean checkSortKeyInBufferRange(BaseRow sortKey, TopNBuffer buffer) {
Comparator<BaseRow> comparator = buffer.getSortKeyComparator();
Map.Entry<BaseRow, Collection<BaseRow>> worstEntry = buffer.lastEntry();
if (worstEntry == null) {
// return true if the buffer is empty.
return true;
} else {
BaseRow worstKey = worstEntry.getKey();
int compare = comparator.compare(sortKey, worstKey);
if (compare < 0) {
return true;
} else {
return buffer.getCurrentTopNum() < getDefaultTopNSize();
}
}
}
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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/rank/AbstractTopNFunction.java#L217-L232
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train
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Check if the sort key is in the buffer range.
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spring-projects/spring-boot
|
spring-boot-samples/spring-boot-sample-jooq/gensrc/main/java/sample/jooq/domain/BookToBookStore.java
|
BookToBookStore.getReferences
|
@Override
public List<ForeignKey<Record, ?>> getReferences() {
return Arrays.<ForeignKey<Record, ?>>asList(Keys.FK_B2BS_BOOK_STORE,
Keys.FK_B2BS_BOOK);
}
|
java
|
@Override
public List<ForeignKey<Record, ?>> getReferences() {
return Arrays.<ForeignKey<Record, ?>>asList(Keys.FK_B2BS_BOOK_STORE,
Keys.FK_B2BS_BOOK);
}
|
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{@inheritDoc}
|
[
"{"
] |
0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-samples/spring-boot-sample-jooq/gensrc/main/java/sample/jooq/domain/BookToBookStore.java#L110-L114
|
train
|
Returns the references of the B2BS book.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/mining/cluster/Cluster.java
|
Cluster.remove_document
|
void remove_document(int index)
{
ListIterator<Document<K>> listIterator = documents_.listIterator(index);
Document<K> document = listIterator.next();
listIterator.set(null);
composite_.sub_vector(document.feature());
}
|
java
|
void remove_document(int index)
{
ListIterator<Document<K>> listIterator = documents_.listIterator(index);
Document<K> document = listIterator.next();
listIterator.set(null);
composite_.sub_vector(document.feature());
}
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a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
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https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/mining/cluster/Cluster.java#L127-L133
|
train
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30526
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/io/ByteArray.java
|
ByteArray.createByteArray
|
public static ByteArray createByteArray(String path)
{
byte[] bytes = IOUtil.readBytes(path);
if (bytes == null) return null;
return new ByteArray(bytes);
}
|
java
|
public static ByteArray createByteArray(String path)
{
byte[] bytes = IOUtil.readBytes(path);
if (bytes == null) return null;
return new ByteArray(bytes);
}
|
[
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"null",
")",
"return",
"null",
";",
"return",
"new",
"ByteArray",
"(",
"bytes",
")",
";",
"}"
] |
从文件读取一个字节数组
@param path
@return
|
[
"从文件读取一个字节数组"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/io/ByteArray.java#L45-L50
|
train
|
Create ByteArray from a file in the base directory.
|
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/HpackDynamicTable.java
|
HpackDynamicTable.setCapacity
|
public void setCapacity(long capacity) {
if (capacity < MIN_HEADER_TABLE_SIZE || capacity > MAX_HEADER_TABLE_SIZE) {
throw new IllegalArgumentException("capacity is invalid: " + capacity);
}
// initially capacity will be -1 so init won't return here
if (this.capacity == capacity) {
return;
}
this.capacity = capacity;
if (capacity == 0) {
clear();
} else {
// initially size will be 0 so remove won't be called
while (size > capacity) {
remove();
}
}
int maxEntries = (int) (capacity / HpackHeaderField.HEADER_ENTRY_OVERHEAD);
if (capacity % HpackHeaderField.HEADER_ENTRY_OVERHEAD != 0) {
maxEntries++;
}
// check if capacity change requires us to reallocate the array
if (hpackHeaderFields != null && hpackHeaderFields.length == maxEntries) {
return;
}
HpackHeaderField[] tmp = new HpackHeaderField[maxEntries];
// initially length will be 0 so there will be no copy
int len = length();
int cursor = tail;
for (int i = 0; i < len; i++) {
HpackHeaderField entry = hpackHeaderFields[cursor++];
tmp[i] = entry;
if (cursor == hpackHeaderFields.length) {
cursor = 0;
}
}
tail = 0;
head = tail + len;
hpackHeaderFields = tmp;
}
|
java
|
public void setCapacity(long capacity) {
if (capacity < MIN_HEADER_TABLE_SIZE || capacity > MAX_HEADER_TABLE_SIZE) {
throw new IllegalArgumentException("capacity is invalid: " + capacity);
}
// initially capacity will be -1 so init won't return here
if (this.capacity == capacity) {
return;
}
this.capacity = capacity;
if (capacity == 0) {
clear();
} else {
// initially size will be 0 so remove won't be called
while (size > capacity) {
remove();
}
}
int maxEntries = (int) (capacity / HpackHeaderField.HEADER_ENTRY_OVERHEAD);
if (capacity % HpackHeaderField.HEADER_ENTRY_OVERHEAD != 0) {
maxEntries++;
}
// check if capacity change requires us to reallocate the array
if (hpackHeaderFields != null && hpackHeaderFields.length == maxEntries) {
return;
}
HpackHeaderField[] tmp = new HpackHeaderField[maxEntries];
// initially length will be 0 so there will be no copy
int len = length();
int cursor = tail;
for (int i = 0; i < len; i++) {
HpackHeaderField entry = hpackHeaderFields[cursor++];
tmp[i] = entry;
if (cursor == hpackHeaderFields.length) {
cursor = 0;
}
}
tail = 0;
head = tail + len;
hpackHeaderFields = tmp;
}
|
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Set the maximum size of the dynamic table. Entries are evicted from the dynamic table until
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/HpackDynamicTable.java#L153-L198
|
train
|
Sets the capacity of the HpackHeaderTable.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java
|
DateUtil.calendar
|
public static Calendar calendar(Date date) {
if(date instanceof DateTime) {
return ((DateTime)date).toCalendar();
}else {
return calendar(date.getTime());
}
}
|
java
|
public static Calendar calendar(Date date) {
if(date instanceof DateTime) {
return ((DateTime)date).toCalendar();
}else {
return calendar(date.getTime());
}
}
|
[
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"calendar",
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"Date",
"date",
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"DateTime",
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"{",
"return",
"calendar",
"(",
"date",
".",
"getTime",
"(",
")",
")",
";",
"}",
"}"
] |
转换为Calendar对象
@param date 日期对象
@return Calendar对象
|
[
"转换为Calendar对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java#L90-L96
|
train
|
Returns a calendar object from a java. util. Date object.
|
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netty/netty
|
codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostRequestEncoder.java
|
HttpPostRequestEncoder.nextChunk
|
private HttpContent nextChunk() throws ErrorDataEncoderException {
if (isLastChunk) {
isLastChunkSent = true;
return LastHttpContent.EMPTY_LAST_CONTENT;
}
// first test if previous buffer is not empty
int size = calculateRemainingSize();
if (size <= 0) {
// NextChunk from buffer
ByteBuf buffer = fillByteBuf();
return new DefaultHttpContent(buffer);
}
// size > 0
if (currentData != null) {
// continue to read data
HttpContent chunk;
if (isMultipart) {
chunk = encodeNextChunkMultipart(size);
} else {
chunk = encodeNextChunkUrlEncoded(size);
}
if (chunk != null) {
// NextChunk from data
return chunk;
}
size = calculateRemainingSize();
}
if (!iterator.hasNext()) {
return lastChunk();
}
while (size > 0 && iterator.hasNext()) {
currentData = iterator.next();
HttpContent chunk;
if (isMultipart) {
chunk = encodeNextChunkMultipart(size);
} else {
chunk = encodeNextChunkUrlEncoded(size);
}
if (chunk == null) {
// not enough
size = calculateRemainingSize();
continue;
}
// NextChunk from data
return chunk;
}
// end since no more data
return lastChunk();
}
|
java
|
private HttpContent nextChunk() throws ErrorDataEncoderException {
if (isLastChunk) {
isLastChunkSent = true;
return LastHttpContent.EMPTY_LAST_CONTENT;
}
// first test if previous buffer is not empty
int size = calculateRemainingSize();
if (size <= 0) {
// NextChunk from buffer
ByteBuf buffer = fillByteBuf();
return new DefaultHttpContent(buffer);
}
// size > 0
if (currentData != null) {
// continue to read data
HttpContent chunk;
if (isMultipart) {
chunk = encodeNextChunkMultipart(size);
} else {
chunk = encodeNextChunkUrlEncoded(size);
}
if (chunk != null) {
// NextChunk from data
return chunk;
}
size = calculateRemainingSize();
}
if (!iterator.hasNext()) {
return lastChunk();
}
while (size > 0 && iterator.hasNext()) {
currentData = iterator.next();
HttpContent chunk;
if (isMultipart) {
chunk = encodeNextChunkMultipart(size);
} else {
chunk = encodeNextChunkUrlEncoded(size);
}
if (chunk == null) {
// not enough
size = calculateRemainingSize();
continue;
}
// NextChunk from data
return chunk;
}
// end since no more data
return lastChunk();
}
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Returns the next available HttpChunk. The caller is responsible to test if this chunk is the last one (isLast()),
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@return the next available HttpChunk
@throws ErrorDataEncoderException
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|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostRequestEncoder.java#L1058-L1106
|
train
|
Get the next chunk from the underlying iterator.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java
|
IoUtil.read
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public static String read(InputStream in, String charsetName) throws IORuntimeException {
FastByteArrayOutputStream out = read(in);
return StrUtil.isBlank(charsetName) ? out.toString() : out.toString(charsetName);
}
|
java
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public static String read(InputStream in, String charsetName) throws IORuntimeException {
FastByteArrayOutputStream out = read(in);
return StrUtil.isBlank(charsetName) ? out.toString() : out.toString(charsetName);
}
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从流中读取内容
@param in 输入流
@param charsetName 字符集
@return 内容
@throws IORuntimeException IO异常
|
[
"从流中读取内容"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/IoUtil.java#L396-L399
|
train
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Reads a sequence of bytes from the specified input stream and returns the resulting string.
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looly/hutool
|
hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelWriter.java
|
ExcelWriter.setHeaderOrFooter
|
public ExcelWriter setHeaderOrFooter(String text, Align align, boolean isFooter) {
final HeaderFooter headerFooter = isFooter ? this.sheet.getFooter() : this.sheet.getHeader();
switch (align) {
case LEFT:
headerFooter.setLeft(text);
break;
case RIGHT:
headerFooter.setRight(text);
break;
case CENTER:
headerFooter.setCenter(text);
break;
default:
break;
}
return this;
}
|
java
|
public ExcelWriter setHeaderOrFooter(String text, Align align, boolean isFooter) {
final HeaderFooter headerFooter = isFooter ? this.sheet.getFooter() : this.sheet.getHeader();
switch (align) {
case LEFT:
headerFooter.setLeft(text);
break;
case RIGHT:
headerFooter.setRight(text);
break;
case CENTER:
headerFooter.setCenter(text);
break;
default:
break;
}
return this;
}
|
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设置Excel页眉或页脚
@param text 页脚的文本
@param align 对齐方式枚举 {@link Align}
@param isFooter 是否为页脚，false表示页眉，true表示页脚
@return this
@since 4.1.0
|
[
"设置Excel页眉或页脚"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelWriter.java#L465-L481
|
train
|
Sets the header or footer of the Excel file.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/corpus/occurrence/PairFrequency.java
|
PairFrequency.create
|
public static PairFrequency create(String first, char delimiter ,String second)
{
PairFrequency pairFrequency = new PairFrequency(first + delimiter + second);
pairFrequency.first = first;
pairFrequency.delimiter = delimiter;
pairFrequency.second = second;
return pairFrequency;
}
|
java
|
public static PairFrequency create(String first, char delimiter ,String second)
{
PairFrequency pairFrequency = new PairFrequency(first + delimiter + second);
pairFrequency.first = first;
pairFrequency.delimiter = delimiter;
pairFrequency.second = second;
return pairFrequency;
}
|
[
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] |
构造一个pf
@param first
@param delimiter
@param second
@return
|
[
"构造一个pf"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/corpus/occurrence/PairFrequency.java#L57-L64
|
train
|
Create PairFrequency object.
|
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apache/flink
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flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/proxy/KinesisProxy.java
|
KinesisProxy.getShardList
|
@Override
public GetShardListResult getShardList(Map<String, String> streamNamesWithLastSeenShardIds) throws InterruptedException {
GetShardListResult result = new GetShardListResult();
for (Map.Entry<String, String> streamNameWithLastSeenShardId : streamNamesWithLastSeenShardIds.entrySet()) {
String stream = streamNameWithLastSeenShardId.getKey();
String lastSeenShardId = streamNameWithLastSeenShardId.getValue();
result.addRetrievedShardsToStream(stream, getShardsOfStream(stream, lastSeenShardId));
}
return result;
}
|
java
|
@Override
public GetShardListResult getShardList(Map<String, String> streamNamesWithLastSeenShardIds) throws InterruptedException {
GetShardListResult result = new GetShardListResult();
for (Map.Entry<String, String> streamNameWithLastSeenShardId : streamNamesWithLastSeenShardIds.entrySet()) {
String stream = streamNameWithLastSeenShardId.getKey();
String lastSeenShardId = streamNameWithLastSeenShardId.getValue();
result.addRetrievedShardsToStream(stream, getShardsOfStream(stream, lastSeenShardId));
}
return result;
}
|
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{@inheritDoc}
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[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/proxy/KinesisProxy.java#L275-L285
|
train
|
Get the shard list for the given stream names with last seen shards.
|
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apache/flink
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/SerializedCheckpointData.java
|
SerializedCheckpointData.fromDeque
|
public static <T> SerializedCheckpointData[] fromDeque(
ArrayDeque<Tuple2<Long, Set<T>>> checkpoints,
TypeSerializer<T> serializer) throws IOException {
return fromDeque(checkpoints, serializer, new DataOutputSerializer(128));
}
|
java
|
public static <T> SerializedCheckpointData[] fromDeque(
ArrayDeque<Tuple2<Long, Set<T>>> checkpoints,
TypeSerializer<T> serializer) throws IOException {
return fromDeque(checkpoints, serializer, new DataOutputSerializer(128));
}
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Converts a list of checkpoints with elements into an array of SerializedCheckpointData.
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@return An array of serializable SerializedCheckpointData, one per entry in the queue.
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|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/source/SerializedCheckpointData.java#L98-L102
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train
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Converts a sequence of CID - addressable checkpoints from a deque of CID - addressable checkpoints.
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apache/spark
|
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
|
ColumnVector.getLongs
|
public long[] getLongs(int rowId, int count) {
long[] res = new long[count];
for (int i = 0; i < count; i++) {
res[i] = getLong(rowId + i);
}
return res;
}
|
java
|
public long[] getLongs(int rowId, int count) {
long[] res = new long[count];
for (int i = 0; i < count; i++) {
res[i] = getLong(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#L164-L170
|
train
|
Gets the longs from the specified row.
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] |
netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/Http2FrameCodec.java
|
Http2FrameCodec.write
|
@Override
public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise) {
if (msg instanceof Http2DataFrame) {
Http2DataFrame dataFrame = (Http2DataFrame) msg;
encoder().writeData(ctx, dataFrame.stream().id(), dataFrame.content(),
dataFrame.padding(), dataFrame.isEndStream(), promise);
} else if (msg instanceof Http2HeadersFrame) {
writeHeadersFrame(ctx, (Http2HeadersFrame) msg, promise);
} else if (msg instanceof Http2WindowUpdateFrame) {
Http2WindowUpdateFrame frame = (Http2WindowUpdateFrame) msg;
Http2FrameStream frameStream = frame.stream();
// It is legit to send a WINDOW_UPDATE frame for the connection stream. The parent channel doesn't attempt
// to set the Http2FrameStream so we assume if it is null the WINDOW_UPDATE is for the connection stream.
try {
if (frameStream == null) {
increaseInitialConnectionWindow(frame.windowSizeIncrement());
} else {
consumeBytes(frameStream.id(), frame.windowSizeIncrement());
}
promise.setSuccess();
} catch (Throwable t) {
promise.setFailure(t);
}
} else if (msg instanceof Http2ResetFrame) {
Http2ResetFrame rstFrame = (Http2ResetFrame) msg;
encoder().writeRstStream(ctx, rstFrame.stream().id(), rstFrame.errorCode(), promise);
} else if (msg instanceof Http2PingFrame) {
Http2PingFrame frame = (Http2PingFrame) msg;
encoder().writePing(ctx, frame.ack(), frame.content(), promise);
} else if (msg instanceof Http2SettingsFrame) {
encoder().writeSettings(ctx, ((Http2SettingsFrame) msg).settings(), promise);
} else if (msg instanceof Http2SettingsAckFrame) {
// In the event of manual SETTINGS ACK is is assumed the encoder will apply the earliest received but not
// yet ACKed settings.
encoder().writeSettingsAck(ctx, promise);
} else if (msg instanceof Http2GoAwayFrame) {
writeGoAwayFrame(ctx, (Http2GoAwayFrame) msg, promise);
} else if (msg instanceof Http2UnknownFrame) {
Http2UnknownFrame unknownFrame = (Http2UnknownFrame) msg;
encoder().writeFrame(ctx, unknownFrame.frameType(), unknownFrame.stream().id(),
unknownFrame.flags(), unknownFrame.content(), promise);
} else if (!(msg instanceof Http2Frame)) {
ctx.write(msg, promise);
} else {
ReferenceCountUtil.release(msg);
throw new UnsupportedMessageTypeException(msg);
}
}
|
java
|
@Override
public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise) {
if (msg instanceof Http2DataFrame) {
Http2DataFrame dataFrame = (Http2DataFrame) msg;
encoder().writeData(ctx, dataFrame.stream().id(), dataFrame.content(),
dataFrame.padding(), dataFrame.isEndStream(), promise);
} else if (msg instanceof Http2HeadersFrame) {
writeHeadersFrame(ctx, (Http2HeadersFrame) msg, promise);
} else if (msg instanceof Http2WindowUpdateFrame) {
Http2WindowUpdateFrame frame = (Http2WindowUpdateFrame) msg;
Http2FrameStream frameStream = frame.stream();
// It is legit to send a WINDOW_UPDATE frame for the connection stream. The parent channel doesn't attempt
// to set the Http2FrameStream so we assume if it is null the WINDOW_UPDATE is for the connection stream.
try {
if (frameStream == null) {
increaseInitialConnectionWindow(frame.windowSizeIncrement());
} else {
consumeBytes(frameStream.id(), frame.windowSizeIncrement());
}
promise.setSuccess();
} catch (Throwable t) {
promise.setFailure(t);
}
} else if (msg instanceof Http2ResetFrame) {
Http2ResetFrame rstFrame = (Http2ResetFrame) msg;
encoder().writeRstStream(ctx, rstFrame.stream().id(), rstFrame.errorCode(), promise);
} else if (msg instanceof Http2PingFrame) {
Http2PingFrame frame = (Http2PingFrame) msg;
encoder().writePing(ctx, frame.ack(), frame.content(), promise);
} else if (msg instanceof Http2SettingsFrame) {
encoder().writeSettings(ctx, ((Http2SettingsFrame) msg).settings(), promise);
} else if (msg instanceof Http2SettingsAckFrame) {
// In the event of manual SETTINGS ACK is is assumed the encoder will apply the earliest received but not
// yet ACKed settings.
encoder().writeSettingsAck(ctx, promise);
} else if (msg instanceof Http2GoAwayFrame) {
writeGoAwayFrame(ctx, (Http2GoAwayFrame) msg, promise);
} else if (msg instanceof Http2UnknownFrame) {
Http2UnknownFrame unknownFrame = (Http2UnknownFrame) msg;
encoder().writeFrame(ctx, unknownFrame.frameType(), unknownFrame.stream().id(),
unknownFrame.flags(), unknownFrame.content(), promise);
} else if (!(msg instanceof Http2Frame)) {
ctx.write(msg, promise);
} else {
ReferenceCountUtil.release(msg);
throw new UnsupportedMessageTypeException(msg);
}
}
|
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] |
Processes all {@link Http2Frame}s. {@link Http2StreamFrame}s may only originate in child
streams.
|
[
"Processes",
"all",
"{"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/Http2FrameCodec.java#L272-L319
|
train
|
Override method to write a message to the HTTP2 protocol.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/AbstractDb.java
|
AbstractDb.find
|
public <T> List<T> find(Entity where, Class<T> beanClass) throws SQLException {
return find(where.getFieldNames(), where, BeanListHandler.create(beanClass));
}
|
java
|
public <T> List<T> find(Entity where, Class<T> beanClass) throws SQLException {
return find(where.getFieldNames(), where, BeanListHandler.create(beanClass));
}
|
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] |
查询数据列表，返回字段由where参数指定<br>
查询条件为多个key value对表示，默认key = value，如果使用其它条件可以使用：where.put("key", " > 1")，value也可以传Condition对象，key被忽略
@param <T> Bean类型
@param where 条件实体类（包含表名）
@return 数据对象列表
@throws SQLException SQL执行异常
@since 3.2.2
|
[
"查询数据列表，返回字段由where参数指定<br",
">",
"查询条件为多个key",
"value对表示，默认key",
"=",
"value，如果使用其它条件可以使用：where",
".",
"put",
"(",
"key",
">",
";",
"1",
")",
"，value也可以传Condition对象，key被忽略"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/AbstractDb.java#L505-L507
|
train
|
Find entities by field name and type
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/recognition/ns/PlaceRecognition.java
|
PlaceRecognition.viterbiCompute
|
public static List<NS> viterbiCompute(List<EnumItem<NS>> roleTagList)
{
return Viterbi.computeEnum(roleTagList, PlaceDictionary.transformMatrixDictionary);
}
|
java
|
public static List<NS> viterbiCompute(List<EnumItem<NS>> roleTagList)
{
return Viterbi.computeEnum(roleTagList, PlaceDictionary.transformMatrixDictionary);
}
|
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] |
维特比算法求解最优标签
@param roleTagList
@return
|
[
"维特比算法求解最优标签"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/recognition/ns/PlaceRecognition.java#L125-L128
|
train
|
Compute the Viterbi role tag list.
|
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30526
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apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/functions/SqlFunctionUtils.java
|
SqlFunctionUtils.regexpReplace
|
public static String regexpReplace(String str, String regex, String replacement) {
if (regex.isEmpty()) {
return str;
}
try {
// we should use StringBuffer here because Matcher only accept it
StringBuffer sb = new StringBuffer();
Matcher m = REGEXP_PATTERN_CACHE.get(regex).matcher(str);
while (m.find()) {
m.appendReplacement(sb, replacement);
}
m.appendTail(sb);
return sb.toString();
} catch (Exception e) {
LOG.error(
String.format("Exception in regexpReplace('%s', '%s', '%s')", str, regex, replacement),
e);
// return null if exception in regex replace
return null;
}
}
|
java
|
public static String regexpReplace(String str, String regex, String replacement) {
if (regex.isEmpty()) {
return str;
}
try {
// we should use StringBuffer here because Matcher only accept it
StringBuffer sb = new StringBuffer();
Matcher m = REGEXP_PATTERN_CACHE.get(regex).matcher(str);
while (m.find()) {
m.appendReplacement(sb, replacement);
}
m.appendTail(sb);
return sb.toString();
} catch (Exception e) {
LOG.error(
String.format("Exception in regexpReplace('%s', '%s', '%s')", str, regex, replacement),
e);
// return null if exception in regex replace
return null;
}
}
|
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Returns a string resulting from replacing all substrings that match the regular
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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/functions/SqlFunctionUtils.java#L346-L366
|
train
|
Replace the string with the given regular expression with the given replacement.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java
|
ImgUtil.toBufferedImage
|
public static BufferedImage toBufferedImage(Image img) {
if (img instanceof BufferedImage) {
return (BufferedImage) img;
}
return copyImage(img, BufferedImage.TYPE_INT_RGB);
}
|
java
|
public static BufferedImage toBufferedImage(Image img) {
if (img instanceof BufferedImage) {
return (BufferedImage) img;
}
return copyImage(img, BufferedImage.TYPE_INT_RGB);
}
|
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{@link Image} 转 {@link BufferedImage}<br>
首先尝试强转，否则新建一个{@link BufferedImage}后重新绘制
@param img {@link Image}
@return {@link BufferedImage}
|
[
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"{",
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"}",
"后重新绘制"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L1158-L1164
|
train
|
Converts an image to a BufferedImage.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/Console.java
|
Console.error
|
public static void error(Throwable t, String template, Object... values) {
err.println(StrUtil.format(template, values));
if (null != t) {
t.printStackTrace(err);
err.flush();
}
}
|
java
|
public static void error(Throwable t, String template, Object... values) {
err.println(StrUtil.format(template, values));
if (null != t) {
t.printStackTrace(err);
err.flush();
}
}
|
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同 System.err.println()方法，打印控制台日志
@param t 异常对象
@param template 文本模板，被替换的部分用 {} 表示
@param values 值
|
[
"同",
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"err",
".",
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"()",
"方法，打印控制台日志"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/Console.java#L154-L160
|
train
|
Print an error message with a throwable.
|
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apache/flink
|
flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/AbstractFetcher.java
|
AbstractFetcher.emitRecord
|
protected void emitRecord(T record, KafkaTopicPartitionState<KPH> partitionState, long offset) throws Exception {
if (record != null) {
if (timestampWatermarkMode == NO_TIMESTAMPS_WATERMARKS) {
// fast path logic, in case there are no watermarks
// emit the record, using the checkpoint lock to guarantee
// atomicity of record emission and offset state update
synchronized (checkpointLock) {
sourceContext.collect(record);
partitionState.setOffset(offset);
}
} else if (timestampWatermarkMode == PERIODIC_WATERMARKS) {
emitRecordWithTimestampAndPeriodicWatermark(record, partitionState, offset, Long.MIN_VALUE);
} else {
emitRecordWithTimestampAndPunctuatedWatermark(record, partitionState, offset, Long.MIN_VALUE);
}
} else {
// if the record is null, simply just update the offset state for partition
synchronized (checkpointLock) {
partitionState.setOffset(offset);
}
}
}
|
java
|
protected void emitRecord(T record, KafkaTopicPartitionState<KPH> partitionState, long offset) throws Exception {
if (record != null) {
if (timestampWatermarkMode == NO_TIMESTAMPS_WATERMARKS) {
// fast path logic, in case there are no watermarks
// emit the record, using the checkpoint lock to guarantee
// atomicity of record emission and offset state update
synchronized (checkpointLock) {
sourceContext.collect(record);
partitionState.setOffset(offset);
}
} else if (timestampWatermarkMode == PERIODIC_WATERMARKS) {
emitRecordWithTimestampAndPeriodicWatermark(record, partitionState, offset, Long.MIN_VALUE);
} else {
emitRecordWithTimestampAndPunctuatedWatermark(record, partitionState, offset, Long.MIN_VALUE);
}
} else {
// if the record is null, simply just update the offset state for partition
synchronized (checkpointLock) {
partitionState.setOffset(offset);
}
}
}
|
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Emits a record without attaching an existing timestamp to it.
<p>Implementation Note: This method is kept brief to be JIT inlining friendly.
That makes the fast path efficient, the extended paths are called as separate methods.
@param record The record to emit
@param partitionState The state of the Kafka partition from which the record was fetched
@param offset The offset of the record
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/AbstractFetcher.java#L353-L376
|
train
|
Emits a single record to the source context.
|
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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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looly/hutool
|
hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelReader.java
|
ExcelReader.getExtractor
|
public ExcelExtractor getExtractor() {
ExcelExtractor extractor;
Workbook wb = this.workbook;
if (wb instanceof HSSFWorkbook) {
extractor = new org.apache.poi.hssf.extractor.ExcelExtractor((HSSFWorkbook) wb);
} else {
extractor = new XSSFExcelExtractor((XSSFWorkbook) wb);
}
return extractor;
}
|
java
|
public ExcelExtractor getExtractor() {
ExcelExtractor extractor;
Workbook wb = this.workbook;
if (wb instanceof HSSFWorkbook) {
extractor = new org.apache.poi.hssf.extractor.ExcelExtractor((HSSFWorkbook) wb);
} else {
extractor = new XSSFExcelExtractor((XSSFWorkbook) wb);
}
return extractor;
}
|
[
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] |
获取 {@link ExcelExtractor} 对象
@return {@link ExcelExtractor}
@since 4.1.0
|
[
"获取",
"{",
"@link",
"ExcelExtractor",
"}",
"对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelReader.java#L383-L392
|
train
|
Gets the extractor object.
|
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flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStream.java
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PatternStream.process
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public <R> SingleOutputStreamOperator<R> process(final PatternProcessFunction<T, R> patternProcessFunction) {
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java
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public <R> SingleOutputStreamOperator<R> process(final PatternProcessFunction<T, R> patternProcessFunction) {
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return process(patternProcessFunction, returnType);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStream.java#L82-L94
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train
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redisson/redisson
|
redisson/src/main/java/org/redisson/api/CronSchedule.java
|
CronSchedule.weeklyOnDayAndHourAndMinute
|
public static CronSchedule weeklyOnDayAndHourAndMinute(int hour, int minute, Integer... daysOfWeek) {
if (daysOfWeek == null || daysOfWeek.length == 0) {
throw new IllegalArgumentException("You must specify at least one day of week.");
}
String expression = String.format("0 %d %d ? * %d", minute, hour, daysOfWeek[0]);
for (int i = 1; i < daysOfWeek.length; i++) {
expression = expression + "," + daysOfWeek[i];
}
return of(expression);
}
|
java
|
public static CronSchedule weeklyOnDayAndHourAndMinute(int hour, int minute, Integer... daysOfWeek) {
if (daysOfWeek == null || daysOfWeek.length == 0) {
throw new IllegalArgumentException("You must specify at least one day of week.");
}
String expression = String.format("0 %d %d ? * %d", minute, hour, daysOfWeek[0]);
for (int i = 1; i < daysOfWeek.length; i++) {
expression = expression + "," + daysOfWeek[i];
}
return of(expression);
}
|
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] |
Creates cron expression which schedule task execution
every given days of the week at the given time.
Use Calendar object constants to define day.
@param hour of schedule
@param minute of schedule
@param daysOfWeek - Calendar object constants
@return object
|
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] |
d3acc0249b2d5d658d36d99e2c808ce49332ea44
|
https://github.com/redisson/redisson/blob/d3acc0249b2d5d658d36d99e2c808ce49332ea44/redisson/src/main/java/org/redisson/api/CronSchedule.java#L75-L86
|
train
|
Create a CronSchedule that schedules a single instance of a CronSchedule for a single hour and minute on a given number of days of the week.
|
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alibaba/canal
|
parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/MysqlConnection.java
|
MysqlConnection.seek
|
public void seek(String binlogfilename, Long binlogPosition, String gtid, SinkFunction func) throws IOException {
updateSettings();
loadBinlogChecksum();
sendBinlogDump(binlogfilename, binlogPosition);
DirectLogFetcher fetcher = new DirectLogFetcher(connector.getReceiveBufferSize());
fetcher.start(connector.getChannel());
LogDecoder decoder = new LogDecoder();
decoder.handle(LogEvent.ROTATE_EVENT);
decoder.handle(LogEvent.FORMAT_DESCRIPTION_EVENT);
decoder.handle(LogEvent.QUERY_EVENT);
decoder.handle(LogEvent.XID_EVENT);
LogContext context = new LogContext();
// 若entry position存在gtid，则使用传入的gtid作为gtidSet
// 拼接的标准,否则同时开启gtid和tsdb时，会导致丢失gtid
// 而当源端数据库gtid 有purged时会有如下类似报错
// 'errno = 1236, sqlstate = HY000 errmsg = The slave is connecting
// using CHANGE MASTER TO MASTER_AUTO_POSITION = 1 ...
if (StringUtils.isNotEmpty(gtid)) {
decoder.handle(LogEvent.GTID_LOG_EVENT);
context.setGtidSet(MysqlGTIDSet.parse(gtid));
}
context.setFormatDescription(new FormatDescriptionLogEvent(4, binlogChecksum));
while (fetcher.fetch()) {
accumulateReceivedBytes(fetcher.limit());
LogEvent event = null;
event = decoder.decode(fetcher, context);
if (event == null) {
throw new CanalParseException("parse failed");
}
if (!func.sink(event)) {
break;
}
}
}
|
java
|
public void seek(String binlogfilename, Long binlogPosition, String gtid, SinkFunction func) throws IOException {
updateSettings();
loadBinlogChecksum();
sendBinlogDump(binlogfilename, binlogPosition);
DirectLogFetcher fetcher = new DirectLogFetcher(connector.getReceiveBufferSize());
fetcher.start(connector.getChannel());
LogDecoder decoder = new LogDecoder();
decoder.handle(LogEvent.ROTATE_EVENT);
decoder.handle(LogEvent.FORMAT_DESCRIPTION_EVENT);
decoder.handle(LogEvent.QUERY_EVENT);
decoder.handle(LogEvent.XID_EVENT);
LogContext context = new LogContext();
// 若entry position存在gtid，则使用传入的gtid作为gtidSet
// 拼接的标准,否则同时开启gtid和tsdb时，会导致丢失gtid
// 而当源端数据库gtid 有purged时会有如下类似报错
// 'errno = 1236, sqlstate = HY000 errmsg = The slave is connecting
// using CHANGE MASTER TO MASTER_AUTO_POSITION = 1 ...
if (StringUtils.isNotEmpty(gtid)) {
decoder.handle(LogEvent.GTID_LOG_EVENT);
context.setGtidSet(MysqlGTIDSet.parse(gtid));
}
context.setFormatDescription(new FormatDescriptionLogEvent(4, binlogChecksum));
while (fetcher.fetch()) {
accumulateReceivedBytes(fetcher.limit());
LogEvent event = null;
event = decoder.decode(fetcher, context);
if (event == null) {
throw new CanalParseException("parse failed");
}
if (!func.sink(event)) {
break;
}
}
}
|
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加速主备切换时的查找速度，做一些特殊优化，比如只解析事务头或者尾
|
[
"加速主备切换时的查找速度，做一些特殊优化，比如只解析事务头或者尾"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/MysqlConnection.java#L122-L157
|
train
|
Seeks to the specified position in the specified binlog file.
|
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spring-projects/spring-boot
|
spring-boot-project/spring-boot/src/main/java/org/springframework/boot/task/TaskExecutorBuilder.java
|
TaskExecutorBuilder.build
|
public <T extends ThreadPoolTaskExecutor> T build(Class<T> taskExecutorClass) {
return configure(BeanUtils.instantiateClass(taskExecutorClass));
}
|
java
|
public <T extends ThreadPoolTaskExecutor> T build(Class<T> taskExecutorClass) {
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Build a new {@link ThreadPoolTaskExecutor} instance of the specified type and
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@param <T> the type of task executor
@param taskExecutorClass the template type to create
@return a configured {@link ThreadPoolTaskExecutor} instance.
@see #build()
@see #configure(ThreadPoolTaskExecutor)
|
[
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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/task/TaskExecutorBuilder.java#L305-L307
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train
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Build a new instance of the given class.
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/RemoteInputChannel.java
|
RemoteInputChannel.releaseAllResources
|
@Override
void releaseAllResources() throws IOException {
if (isReleased.compareAndSet(false, true)) {
// Gather all exclusive buffers and recycle them to global pool in batch, because
// we do not want to trigger redistribution of buffers after each recycle.
final List<MemorySegment> exclusiveRecyclingSegments = new ArrayList<>();
synchronized (receivedBuffers) {
Buffer buffer;
while ((buffer = receivedBuffers.poll()) != null) {
if (buffer.getRecycler() == this) {
exclusiveRecyclingSegments.add(buffer.getMemorySegment());
} else {
buffer.recycleBuffer();
}
}
}
synchronized (bufferQueue) {
bufferQueue.releaseAll(exclusiveRecyclingSegments);
}
if (exclusiveRecyclingSegments.size() > 0) {
inputGate.returnExclusiveSegments(exclusiveRecyclingSegments);
}
// The released flag has to be set before closing the connection to ensure that
// buffers received concurrently with closing are properly recycled.
if (partitionRequestClient != null) {
partitionRequestClient.close(this);
} else {
connectionManager.closeOpenChannelConnections(connectionId);
}
}
}
|
java
|
@Override
void releaseAllResources() throws IOException {
if (isReleased.compareAndSet(false, true)) {
// Gather all exclusive buffers and recycle them to global pool in batch, because
// we do not want to trigger redistribution of buffers after each recycle.
final List<MemorySegment> exclusiveRecyclingSegments = new ArrayList<>();
synchronized (receivedBuffers) {
Buffer buffer;
while ((buffer = receivedBuffers.poll()) != null) {
if (buffer.getRecycler() == this) {
exclusiveRecyclingSegments.add(buffer.getMemorySegment());
} else {
buffer.recycleBuffer();
}
}
}
synchronized (bufferQueue) {
bufferQueue.releaseAll(exclusiveRecyclingSegments);
}
if (exclusiveRecyclingSegments.size() > 0) {
inputGate.returnExclusiveSegments(exclusiveRecyclingSegments);
}
// The released flag has to be set before closing the connection to ensure that
// buffers received concurrently with closing are properly recycled.
if (partitionRequestClient != null) {
partitionRequestClient.close(this);
} else {
connectionManager.closeOpenChannelConnections(connectionId);
}
}
}
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/consumer/RemoteInputChannel.java#L236-L270
|
train
|
Releases all resources.
|
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/collection/AhoCorasick/AhoCorasickDoubleArrayTrie.java
|
AhoCorasickDoubleArrayTrie.fetch
|
private int fetch(State parent, List<Map.Entry<Integer, State>> siblings)
{
if (parent.isAcceptable())
{
State fakeNode = new State(-(parent.getDepth() + 1)); // 此节点是parent的子节点，同时具备parent的输出
fakeNode.addEmit(parent.getLargestValueId());
siblings.add(new AbstractMap.SimpleEntry<Integer, State>(0, fakeNode));
}
for (Map.Entry<Character, State> entry : parent.getSuccess().entrySet())
{
siblings.add(new AbstractMap.SimpleEntry<Integer, State>(entry.getKey() + 1, entry.getValue()));
}
return siblings.size();
}
|
java
|
private int fetch(State parent, List<Map.Entry<Integer, State>> siblings)
{
if (parent.isAcceptable())
{
State fakeNode = new State(-(parent.getDepth() + 1)); // 此节点是parent的子节点，同时具备parent的输出
fakeNode.addEmit(parent.getLargestValueId());
siblings.add(new AbstractMap.SimpleEntry<Integer, State>(0, fakeNode));
}
for (Map.Entry<Character, State> entry : parent.getSuccess().entrySet())
{
siblings.add(new AbstractMap.SimpleEntry<Integer, State>(entry.getKey() + 1, entry.getValue()));
}
return siblings.size();
}
|
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] |
获取直接相连的子节点
@param parent 父节点
@param siblings （子）兄弟节点
@return 兄弟节点个数
|
[
"获取直接相连的子节点"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/AhoCorasick/AhoCorasickDoubleArrayTrie.java#L486-L499
|
train
|
Fetch the number of siblings from the parent.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/Validator.java
|
Validator.validateLetter
|
public static <T extends CharSequence> T validateLetter(T value, String errorMsg) throws ValidateException {
if (false == isLetter(value)) {
throw new ValidateException(errorMsg);
}
return value;
}
|
java
|
public static <T extends CharSequence> T validateLetter(T value, String errorMsg) throws ValidateException {
if (false == isLetter(value)) {
throw new ValidateException(errorMsg);
}
return value;
}
|
[
"public",
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"<",
"T",
"extends",
"CharSequence",
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"T",
"validateLetter",
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"throw",
"new",
"ValidateException",
"(",
"errorMsg",
")",
";",
"}",
"return",
"value",
";",
"}"
] |
验证是否全部为字母组成，包括大写和小写字母和汉字
@param <T> 字符串类型
@param value 表单值
@param errorMsg 验证错误的信息
@return 验证后的值
@throws ValidateException 验证异常
@since 3.3.0
|
[
"验证是否全部为字母组成，包括大写和小写字母和汉字"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/Validator.java#L453-L458
|
train
|
Validate a string to ensure that it is a letter.
|
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java
|
HttpConversionUtil.toHttpRequest
|
public static HttpRequest toHttpRequest(int streamId, Http2Headers http2Headers, boolean validateHttpHeaders)
throws Http2Exception {
// HTTP/2 does not define a way to carry the version identifier that is included in the HTTP/1.1 request line.
final CharSequence method = checkNotNull(http2Headers.method(),
"method header cannot be null in conversion to HTTP/1.x");
final CharSequence path = checkNotNull(http2Headers.path(),
"path header cannot be null in conversion to HTTP/1.x");
HttpRequest msg = new DefaultHttpRequest(HttpVersion.HTTP_1_1, HttpMethod.valueOf(method.toString()),
path.toString(), validateHttpHeaders);
try {
addHttp2ToHttpHeaders(streamId, http2Headers, msg.headers(), msg.protocolVersion(), false, true);
} catch (Http2Exception e) {
throw e;
} catch (Throwable t) {
throw streamError(streamId, PROTOCOL_ERROR, t, "HTTP/2 to HTTP/1.x headers conversion error");
}
return msg;
}
|
java
|
public static HttpRequest toHttpRequest(int streamId, Http2Headers http2Headers, boolean validateHttpHeaders)
throws Http2Exception {
// HTTP/2 does not define a way to carry the version identifier that is included in the HTTP/1.1 request line.
final CharSequence method = checkNotNull(http2Headers.method(),
"method header cannot be null in conversion to HTTP/1.x");
final CharSequence path = checkNotNull(http2Headers.path(),
"path header cannot be null in conversion to HTTP/1.x");
HttpRequest msg = new DefaultHttpRequest(HttpVersion.HTTP_1_1, HttpMethod.valueOf(method.toString()),
path.toString(), validateHttpHeaders);
try {
addHttp2ToHttpHeaders(streamId, http2Headers, msg.headers(), msg.protocolVersion(), false, true);
} catch (Http2Exception e) {
throw e;
} catch (Throwable t) {
throw streamError(streamId, PROTOCOL_ERROR, t, "HTTP/2 to HTTP/1.x headers conversion error");
}
return msg;
}
|
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] |
Create a new object to contain the request data.
@param streamId The stream associated with the request
@param http2Headers The initial set of HTTP/2 headers to create the request with
@param validateHttpHeaders <ul>
<li>{@code true} to validate HTTP headers in the http-codec</li>
<li>{@code false} not to validate HTTP headers in the http-codec</li>
</ul>
@return A new request object which represents headers for a chunked request
@throws Http2Exception see {@link #addHttp2ToHttpHeaders(int, Http2Headers, FullHttpMessage, boolean)}
|
[
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"."
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/HttpConversionUtil.java#L280-L297
|
train
|
Converts a Http2 request to an HTTP request.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/watch/WatchUtil.java
|
WatchUtil.createAll
|
public static WatchMonitor createAll(URI uri, int maxDepth, Watcher watcher) {
return createAll(Paths.get(uri), maxDepth, watcher);
}
|
java
|
public static WatchMonitor createAll(URI uri, int maxDepth, Watcher watcher) {
return createAll(Paths.get(uri), maxDepth, watcher);
}
|
[
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] |
创建并初始化监听，监听所有事件
@param uri URI
@param maxDepth 当监听目录时，监听目录的最大深度，当设置值为1（或小于1）时，表示不递归监听子目录
@param watcher {@link Watcher}
@return {@link WatchMonitor}
|
[
"创建并初始化监听，监听所有事件"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/watch/WatchUtil.java#L178-L180
|
train
|
Creates a WatchMonitor for the given URI and max depth.
|
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flink-clients/src/main/java/org/apache/flink/client/cli/CliFrontend.java
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CliFrontend.getActiveCustomCommandLine
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public CustomCommandLine<?> getActiveCustomCommandLine(CommandLine commandLine) {
for (CustomCommandLine<?> cli : customCommandLines) {
if (cli.isActive(commandLine)) {
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}
throw new IllegalStateException("No command-line ran.");
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|
java
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public CustomCommandLine<?> getActiveCustomCommandLine(CommandLine commandLine) {
for (CustomCommandLine<?> cli : customCommandLines) {
if (cli.isActive(commandLine)) {
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}
throw new IllegalStateException("No command-line ran.");
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-clients/src/main/java/org/apache/flink/client/cli/CliFrontend.java#L1143-L1150
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train
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Get the active custom command - line.
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/operators/GenericDataSourceBase.java
|
GenericDataSourceBase.executeOnCollections
|
protected List<OUT> executeOnCollections(RuntimeContext ctx, ExecutionConfig executionConfig) throws Exception {
@SuppressWarnings("unchecked")
InputFormat<OUT, InputSplit> inputFormat = (InputFormat<OUT, InputSplit>) this.formatWrapper.getUserCodeObject();
//configure the input format
inputFormat.configure(this.parameters);
//open the input format
if (inputFormat instanceof RichInputFormat) {
((RichInputFormat) inputFormat).setRuntimeContext(ctx);
((RichInputFormat) inputFormat).openInputFormat();
}
List<OUT> result = new ArrayList<OUT>();
// splits
InputSplit[] splits = inputFormat.createInputSplits(1);
TypeSerializer<OUT> serializer = getOperatorInfo().getOutputType().createSerializer(executionConfig);
for (InputSplit split : splits) {
inputFormat.open(split);
while (!inputFormat.reachedEnd()) {
OUT next = inputFormat.nextRecord(serializer.createInstance());
if (next != null) {
result.add(serializer.copy(next));
}
}
inputFormat.close();
}
//close the input format
if (inputFormat instanceof RichInputFormat) {
((RichInputFormat) inputFormat).closeInputFormat();
}
return result;
}
|
java
|
protected List<OUT> executeOnCollections(RuntimeContext ctx, ExecutionConfig executionConfig) throws Exception {
@SuppressWarnings("unchecked")
InputFormat<OUT, InputSplit> inputFormat = (InputFormat<OUT, InputSplit>) this.formatWrapper.getUserCodeObject();
//configure the input format
inputFormat.configure(this.parameters);
//open the input format
if (inputFormat instanceof RichInputFormat) {
((RichInputFormat) inputFormat).setRuntimeContext(ctx);
((RichInputFormat) inputFormat).openInputFormat();
}
List<OUT> result = new ArrayList<OUT>();
// splits
InputSplit[] splits = inputFormat.createInputSplits(1);
TypeSerializer<OUT> serializer = getOperatorInfo().getOutputType().createSerializer(executionConfig);
for (InputSplit split : splits) {
inputFormat.open(split);
while (!inputFormat.reachedEnd()) {
OUT next = inputFormat.nextRecord(serializer.createInstance());
if (next != null) {
result.add(serializer.copy(next));
}
}
inputFormat.close();
}
//close the input format
if (inputFormat instanceof RichInputFormat) {
((RichInputFormat) inputFormat).closeInputFormat();
}
return result;
}
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--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/GenericDataSourceBase.java#L210-L247
|
train
|
Execute on collections.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializerSnapshot.java
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PojoSerializerSnapshot.newPojoSerializerIsCompatibleAfterMigration
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private static <T> boolean newPojoSerializerIsCompatibleAfterMigration(
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IntermediateCompatibilityResult<T> preExistingRegistrationsCompatibility,
LinkedOptionalMap<Field, TypeSerializerSnapshot<?>> fieldSerializerSnapshots) {
return newPojoHasNewOrRemovedFields(fieldSerializerSnapshots, newPojoSerializer)
|| fieldSerializerCompatibility.isCompatibleAfterMigration()
|| preExistingRegistrationsCompatibility.isCompatibleAfterMigration();
}
|
java
|
private static <T> boolean newPojoSerializerIsCompatibleAfterMigration(
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IntermediateCompatibilityResult<T> fieldSerializerCompatibility,
IntermediateCompatibilityResult<T> preExistingRegistrationsCompatibility,
LinkedOptionalMap<Field, TypeSerializerSnapshot<?>> fieldSerializerSnapshots) {
return newPojoHasNewOrRemovedFields(fieldSerializerSnapshots, newPojoSerializer)
|| fieldSerializerCompatibility.isCompatibleAfterMigration()
|| preExistingRegistrationsCompatibility.isCompatibleAfterMigration();
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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Checks if the new pojo serializer is compatible after migration.
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apache/flink
|
flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java
|
Pattern.times
|
public Pattern<T, F> times(int times) {
checkIfNoNotPattern();
checkIfQuantifierApplied();
Preconditions.checkArgument(times > 0, "You should give a positive number greater than 0.");
this.quantifier = Quantifier.times(quantifier.getConsumingStrategy());
this.times = Times.of(times);
return this;
}
|
java
|
public Pattern<T, F> times(int times) {
checkIfNoNotPattern();
checkIfQuantifierApplied();
Preconditions.checkArgument(times > 0, "You should give a positive number greater than 0.");
this.quantifier = Quantifier.times(quantifier.getConsumingStrategy());
this.times = Times.of(times);
return this;
}
|
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Specifies exact number of times that this pattern should be matched.
@param times number of times matching event must appear
@return The same pattern with number of times applied
@throws MalformedPatternException if the quantifier is not applicable to this pattern.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/pattern/Pattern.java#L381-L388
|
train
|
Sets the times of this pattern.
|
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apache/flink
|
flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/Runner.java
|
Runner.parameterize
|
private void parameterize(Parameterized parameterized) {
try {
parameterized.configure(parameters);
} catch (RuntimeException ex) {
throw new ProgramParametrizationException(ex.getMessage());
}
}
|
java
|
private void parameterize(Parameterized parameterized) {
try {
parameterized.configure(parameters);
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throw new ProgramParametrizationException(ex.getMessage());
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}
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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/Runner.java#L276-L282
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train
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/resource/UrlResource.java
|
UrlResource.readStr
|
@Override
public String readStr(Charset charset) throws IORuntimeException{
BufferedReader reader = null;
try {
reader = getReader(charset);
return IoUtil.read(reader);
} finally {
IoUtil.close(reader);
}
}
|
java
|
@Override
public String readStr(Charset charset) throws IORuntimeException{
BufferedReader reader = null;
try {
reader = getReader(charset);
return IoUtil.read(reader);
} finally {
IoUtil.close(reader);
}
}
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------------------------------------------------------------------------------- read
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[
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
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https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/resource/UrlResource.java#L85-L94
|
train
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Reads a string from the underlying file using the specified encoding.
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java
|
SecureUtil.generatePrivateKey
|
public static PrivateKey generatePrivateKey(KeyStore keyStore, String alias, char[] password) {
return KeyUtil.generatePrivateKey(keyStore, alias, password);
}
|
java
|
public static PrivateKey generatePrivateKey(KeyStore keyStore, String alias, char[] password) {
return KeyUtil.generatePrivateKey(keyStore, alias, password);
}
|
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生成私钥，仅用于非对称加密
@param keyStore {@link KeyStore}
@param alias 别名
@param password 密码
@return 私钥 {@link PrivateKey}
|
[
"生成私钥，仅用于非对称加密"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L166-L168
|
train
|
Generates a private key from a key store.
|
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/ResultPartition.java
|
ResultPartition.createSubpartitionView
|
public ResultSubpartitionView createSubpartitionView(int index, BufferAvailabilityListener availabilityListener) throws IOException {
int refCnt = pendingReferences.get();
checkState(refCnt != -1, "Partition released.");
checkState(refCnt > 0, "Partition not pinned.");
checkElementIndex(index, subpartitions.length, "Subpartition not found.");
ResultSubpartitionView readView = subpartitions[index].createReadView(availabilityListener);
LOG.debug("Created {}", readView);
return readView;
}
|
java
|
public ResultSubpartitionView createSubpartitionView(int index, BufferAvailabilityListener availabilityListener) throws IOException {
int refCnt = pendingReferences.get();
checkState(refCnt != -1, "Partition released.");
checkState(refCnt > 0, "Partition not pinned.");
checkElementIndex(index, subpartitions.length, "Subpartition not found.");
ResultSubpartitionView readView = subpartitions[index].createReadView(availabilityListener);
LOG.debug("Created {}", readView);
return readView;
}
|
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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/io/network/partition/ResultPartition.java#L343-L356
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train
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Creates a subpartition view.
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.position
|
public final LogBuffer position(final int newPosition) {
if (newPosition > limit || newPosition < 0) throw new IllegalArgumentException("limit excceed: " + newPosition);
this.position = origin + newPosition;
return this;
}
|
java
|
public final LogBuffer position(final int newPosition) {
if (newPosition > limit || newPosition < 0) throw new IllegalArgumentException("limit excceed: " + newPosition);
this.position = origin + newPosition;
return this;
}
|
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Sets this buffer's position. If the mark is defined and larger than the
new position then it is discarded. </p>
@param newPosition The new position value; must be non-negative and no
larger than the current limit
@return This buffer
@throws IllegalArgumentException If the preconditions on
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8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L101-L106
|
train
|
Sets the position of the buffer to the new position.
|
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apache/spark
|
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeMapData.java
|
UnsafeMapData.pointTo
|
public void pointTo(Object baseObject, long baseOffset, int sizeInBytes) {
// Read the numBytes of key array from the first 8 bytes.
final long keyArraySize = Platform.getLong(baseObject, baseOffset);
assert keyArraySize >= 0 : "keyArraySize (" + keyArraySize + ") should >= 0";
assert keyArraySize <= Integer.MAX_VALUE :
"keyArraySize (" + keyArraySize + ") should <= Integer.MAX_VALUE";
final int valueArraySize = sizeInBytes - (int)keyArraySize - 8;
assert valueArraySize >= 0 : "valueArraySize (" + valueArraySize + ") should >= 0";
keys.pointTo(baseObject, baseOffset + 8, (int)keyArraySize);
values.pointTo(baseObject, baseOffset + 8 + keyArraySize, valueArraySize);
assert keys.numElements() == values.numElements();
this.baseObject = baseObject;
this.baseOffset = baseOffset;
this.sizeInBytes = sizeInBytes;
}
|
java
|
public void pointTo(Object baseObject, long baseOffset, int sizeInBytes) {
// Read the numBytes of key array from the first 8 bytes.
final long keyArraySize = Platform.getLong(baseObject, baseOffset);
assert keyArraySize >= 0 : "keyArraySize (" + keyArraySize + ") should >= 0";
assert keyArraySize <= Integer.MAX_VALUE :
"keyArraySize (" + keyArraySize + ") should <= Integer.MAX_VALUE";
final int valueArraySize = sizeInBytes - (int)keyArraySize - 8;
assert valueArraySize >= 0 : "valueArraySize (" + valueArraySize + ") should >= 0";
keys.pointTo(baseObject, baseOffset + 8, (int)keyArraySize);
values.pointTo(baseObject, baseOffset + 8 + keyArraySize, valueArraySize);
assert keys.numElements() == values.numElements();
this.baseObject = baseObject;
this.baseOffset = baseOffset;
this.sizeInBytes = sizeInBytes;
}
|
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25ee0474f47d9c30d6f553a7892d9549f91071cf
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https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeMapData.java#L81-L98
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train
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Point the contents of this block to the specified byte array.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/Validator.java
|
Validator.validateNotEqual
|
public static void validateNotEqual(Object t1, Object t2, String errorMsg) throws ValidateException {
if (equal(t1, t2)) {
throw new ValidateException(errorMsg);
}
}
|
java
|
public static void validateNotEqual(Object t1, Object t2, String errorMsg) throws ValidateException {
if (equal(t1, t2)) {
throw new ValidateException(errorMsg);
}
}
|
[
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")",
")",
"{",
"throw",
"new",
"ValidateException",
"(",
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")",
";",
"}",
"}"
] |
验证是否不等，相等抛出异常<br>
@param t1 对象1
@param t2 对象2
@param errorMsg 错误信息
@throws ValidateException 验证异常
|
[
"验证是否不等，相等抛出异常<br",
">"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/Validator.java#L263-L267
|
train
|
ValidateNotEqual method.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/core/memory/MemorySegment.java
|
MemorySegment.putShort
|
public final void putShort(int index, short value) {
final long pos = address + index;
if (index >= 0 && pos <= addressLimit - 2) {
UNSAFE.putShort(heapMemory, pos, value);
}
else if (address > addressLimit) {
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else {
// index is in fact invalid
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}
}
|
java
|
public final void putShort(int index, short value) {
final long pos = address + index;
if (index >= 0 && pos <= addressLimit - 2) {
UNSAFE.putShort(heapMemory, pos, value);
}
else if (address > addressLimit) {
throw new IllegalStateException("segment has been freed");
}
else {
// index is in fact invalid
throw new IndexOutOfBoundsException();
}
}
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Writes the given short value into this buffer at the given position, using
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@throws IndexOutOfBoundsException Thrown, if the index is negative, or larger than the segment
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/core/memory/MemorySegment.java#L620-L632
|
train
|
Puts a short value into the memory.
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apache/flink
|
flink-java/src/main/java/org/apache/flink/api/java/utils/RequiredParameters.java
|
RequiredParameters.checkAndApplyDefaultValue
|
private void checkAndApplyDefaultValue(Option o, Map<String, String> data) throws RequiredParametersException {
if (hasNoDefaultValueAndNoValuePassedOnAlternativeName(o, data)) {
throw new RequiredParametersException("No default value for undefined parameter " + o.getName());
}
}
|
java
|
private void checkAndApplyDefaultValue(Option o, Map<String, String> data) throws RequiredParametersException {
if (hasNoDefaultValueAndNoValuePassedOnAlternativeName(o, data)) {
throw new RequiredParametersException("No default value for undefined parameter " + o.getName());
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-java/src/main/java/org/apache/flink/api/java/utils/RequiredParameters.java#L121-L125
|
train
|
Check if the default value is set and if not then throw an exception.
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networknt/light-4j
|
handler/src/main/java/com/networknt/handler/Handler.java
|
Handler.initPaths
|
static void initPaths() {
if (config != null && config.getPaths() != null) {
for (PathChain pathChain : config.getPaths()) {
pathChain.validate(configName + " config"); // raises exception on misconfiguration
if(pathChain.getPath() == null) {
addSourceChain(pathChain);
} else {
addPathChain(pathChain);
}
}
}
}
|
java
|
static void initPaths() {
if (config != null && config.getPaths() != null) {
for (PathChain pathChain : config.getPaths()) {
pathChain.validate(configName + " config"); // raises exception on misconfiguration
if(pathChain.getPath() == null) {
addSourceChain(pathChain);
} else {
addPathChain(pathChain);
}
}
}
}
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/handler/src/main/java/com/networknt/handler/Handler.java#L121-L132
|
train
|
Initializes the paths.
|
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looly/hutool
|
hutool-poi/src/main/java/cn/hutool/poi/excel/StyleSet.java
|
StyleSet.setFont
|
public StyleSet setFont(short color, short fontSize, String fontName, boolean ignoreHead) {
final Font font = StyleUtil.createFont(this.workbook, color, fontSize, fontName);
return setFont(font, ignoreHead);
}
|
java
|
public StyleSet setFont(short color, short fontSize, String fontName, boolean ignoreHead) {
final Font font = StyleUtil.createFont(this.workbook, color, fontSize, fontName);
return setFont(font, ignoreHead);
}
|
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设置全局字体
@param color 字体颜色
@param fontSize 字体大小，-1表示默认大小
@param fontName 字体名，null表示默认字体
@param ignoreHead 是否跳过头部样式
@return this
|
[
"设置全局字体"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/StyleSet.java#L149-L152
|
train
|
Sets the font to be used.
|
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30526
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looly/hutool
|
hutool-json/src/main/java/cn/hutool/json/JSONTokener.java
|
JSONTokener.nextTo
|
public String nextTo(char delimiter) throws JSONException {
StringBuilder sb = new StringBuilder();
for (;;) {
char c = this.next();
if (c == delimiter || c == 0 || c == '\n' || c == '\r') {
if (c != 0) {
this.back();
}
return sb.toString().trim();
}
sb.append(c);
}
}
|
java
|
public String nextTo(char delimiter) throws JSONException {
StringBuilder sb = new StringBuilder();
for (;;) {
char c = this.next();
if (c == delimiter || c == 0 || c == '\n' || c == '\r') {
if (c != 0) {
this.back();
}
return sb.toString().trim();
}
sb.append(c);
}
}
|
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] |
Get the text up but not including the specified character or the end of line, whichever comes first. <br>
获得从当前位置直到分隔符（不包括分隔符）或行尾的的所有字符。
@param delimiter 分隔符
@return 字符串
|
[
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">",
"获得从当前位置直到分隔符（不包括分隔符）或行尾的的所有字符。"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONTokener.java#L257-L269
|
train
|
Get the next value from the JSON string.
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30526
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looly/hutool
|
hutool-log/src/main/java/cn/hutool/log/dialect/jdk/JdkLog.java
|
JdkLog.logIfEnabled
|
private void logIfEnabled(Level level, Throwable throwable, String format, Object[] arguments){
this.logIfEnabled(FQCN_SELF, level, throwable, format, arguments);
}
|
java
|
private void logIfEnabled(Level level, Throwable throwable, String format, Object[] arguments){
this.logIfEnabled(FQCN_SELF, level, throwable, format, arguments);
}
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打印对应等级的日志
@param level 等级
@param throwable 异常对象
@param format 消息模板
@param arguments 参数
|
[
"打印对应等级的日志"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-log/src/main/java/cn/hutool/log/dialect/jdk/JdkLog.java#L167-L169
|
train
|
Logs a throwable if the specified log level is enabled.
|
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30526
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apache/flink
|
flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/cli/CliClient.java
|
CliClient.parseCommand
|
private Optional<SqlCommandCall> parseCommand(String line) {
final Optional<SqlCommandCall> parsedLine = SqlCommandParser.parse(line);
if (!parsedLine.isPresent()) {
printError(CliStrings.MESSAGE_UNKNOWN_SQL);
}
return parsedLine;
}
|
java
|
private Optional<SqlCommandCall> parseCommand(String line) {
final Optional<SqlCommandCall> parsedLine = SqlCommandParser.parse(line);
if (!parsedLine.isPresent()) {
printError(CliStrings.MESSAGE_UNKNOWN_SQL);
}
return parsedLine;
}
|
[
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";",
"}",
"return",
"parsedLine",
";",
"}"
] |
--------------------------------------------------------------------------------------------
|
[
"--------------------------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/cli/CliClient.java#L241-L247
|
train
|
Parses a command line.
|
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30526
] |
apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/StateAssignmentOperation.java
|
StateAssignmentOperation.getRawKeyedStateHandles
|
public static List<KeyedStateHandle> getRawKeyedStateHandles(
OperatorState operatorState,
KeyGroupRange subtaskKeyGroupRange) {
final int parallelism = operatorState.getParallelism();
List<KeyedStateHandle> extractedKeyedStateHandles = null;
for (int i = 0; i < parallelism; i++) {
if (operatorState.getState(i) != null) {
Collection<KeyedStateHandle> rawKeyedState = operatorState.getState(i).getRawKeyedState();
if (extractedKeyedStateHandles == null) {
extractedKeyedStateHandles = new ArrayList<>(parallelism * rawKeyedState.size());
}
extractIntersectingState(
rawKeyedState,
subtaskKeyGroupRange,
extractedKeyedStateHandles);
}
}
return extractedKeyedStateHandles;
}
|
java
|
public static List<KeyedStateHandle> getRawKeyedStateHandles(
OperatorState operatorState,
KeyGroupRange subtaskKeyGroupRange) {
final int parallelism = operatorState.getParallelism();
List<KeyedStateHandle> extractedKeyedStateHandles = null;
for (int i = 0; i < parallelism; i++) {
if (operatorState.getState(i) != null) {
Collection<KeyedStateHandle> rawKeyedState = operatorState.getState(i).getRawKeyedState();
if (extractedKeyedStateHandles == null) {
extractedKeyedStateHandles = new ArrayList<>(parallelism * rawKeyedState.size());
}
extractIntersectingState(
rawKeyedState,
subtaskKeyGroupRange,
extractedKeyedStateHandles);
}
}
return extractedKeyedStateHandles;
}
|
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] |
Collect {@link KeyGroupsStateHandle rawKeyedStateHandles} which have intersection with given
{@link KeyGroupRange} from {@link TaskState operatorState}
@param operatorState all state handles of a operator
@param subtaskKeyGroupRange the KeyGroupRange of a subtask
@return all rawKeyedStateHandles which have intersection with given KeyGroupRange
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/StateAssignmentOperation.java#L434-L459
|
train
|
Get the raw keyed state handles for the given operator state.
|
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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, Map<String, Object> targetMap, boolean ignoreNullValue, Editor<String> keyEditor) {
if (bean == null) {
return null;
}
final Collection<PropDesc> props = BeanUtil.getBeanDesc(bean.getClass()).getProps();
String key;
Method getter;
Object value;
for (PropDesc prop : props) {
key = prop.getFieldName();
// 过滤class属性
// 得到property对应的getter方法
getter = prop.getGetter();
if (null != getter) {
// 只读取有getter方法的属性
try {
value = getter.invoke(bean);
} catch (Exception ignore) {
continue;
}
if (false == ignoreNullValue || (null != value && false == value.equals(bean))) {
key = keyEditor.edit(key);
if (null != key) {
targetMap.put(key, value);
}
}
}
}
return targetMap;
}
|
java
|
public static Map<String, Object> beanToMap(Object bean, Map<String, Object> targetMap, boolean ignoreNullValue, Editor<String> keyEditor) {
if (bean == null) {
return null;
}
final Collection<PropDesc> props = BeanUtil.getBeanDesc(bean.getClass()).getProps();
String key;
Method getter;
Object value;
for (PropDesc prop : props) {
key = prop.getFieldName();
// 过滤class属性
// 得到property对应的getter方法
getter = prop.getGetter();
if (null != getter) {
// 只读取有getter方法的属性
try {
value = getter.invoke(bean);
} catch (Exception ignore) {
continue;
}
if (false == ignoreNullValue || (null != value && false == value.equals(bean))) {
key = keyEditor.edit(key);
if (null != key) {
targetMap.put(key, value);
}
}
}
}
return targetMap;
}
|
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对象转Map<br>
通过实现{@link Editor} 可以自定义字段值，如果这个Editor返回null则忽略这个字段，以便实现：
<pre>
1. 字段筛选，可以去除不需要的字段
2. 字段变换，例如实现驼峰转下划线
3. 自定义字段前缀或后缀等等
</pre>
@param bean bean对象
@param targetMap 目标的Map
@param ignoreNullValue 是否忽略值为空的字段
@param keyEditor 属性字段（Map的key）编辑器，用于筛选、编辑key
@return Map
@since 4.0.5
|
[
"对象转Map<br",
">",
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"可以自定义字段值，如果这个Editor返回null则忽略这个字段，以便实现："
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/bean/BeanUtil.java#L542-L573
|
train
|
Returns a map of all the properties of the specified bean from the specified target map.
|
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