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alibaba/canal
|
parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/MysqlConnection.java
|
MysqlConnection.loadBinlogChecksum
|
private void loadBinlogChecksum() {
ResultSetPacket rs = null;
try {
rs = query("select @@global.binlog_checksum");
List<String> columnValues = rs.getFieldValues();
if (columnValues != null && columnValues.size() >= 1 && columnValues.get(0).toUpperCase().equals("CRC32")) {
binlogChecksum = LogEvent.BINLOG_CHECKSUM_ALG_CRC32;
} else {
binlogChecksum = LogEvent.BINLOG_CHECKSUM_ALG_OFF;
}
} catch (Throwable e) {
logger.error("", e);
binlogChecksum = LogEvent.BINLOG_CHECKSUM_ALG_OFF;
}
}
|
java
|
private void loadBinlogChecksum() {
ResultSetPacket rs = null;
try {
rs = query("select @@global.binlog_checksum");
List<String> columnValues = rs.getFieldValues();
if (columnValues != null && columnValues.size() >= 1 && columnValues.get(0).toUpperCase().equals("CRC32")) {
binlogChecksum = LogEvent.BINLOG_CHECKSUM_ALG_CRC32;
} else {
binlogChecksum = LogEvent.BINLOG_CHECKSUM_ALG_OFF;
}
} catch (Throwable e) {
logger.error("", e);
binlogChecksum = LogEvent.BINLOG_CHECKSUM_ALG_OFF;
}
}
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获取主库checksum信息
<pre>
mariadb区别于mysql会在binlog的第一个事件Rotate_Event里也会采用checksum逻辑,而mysql是在第二个binlog事件之后才感知是否需要处理checksum
导致maraidb只要是开启checksum就会出现binlog文件名解析乱码
fixed issue : https://github.com/alibaba/canal/issues/1081
</pre>
|
[
"获取主库checksum信息"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/parse/src/main/java/com/alibaba/otter/canal/parse/inbound/mysql/MysqlConnection.java#L519-L533
|
train
|
Load the binlog checksum
|
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apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/plan/rules/logical/ExtendedAggregateExtractProjectRule.java
|
ExtendedAggregateExtractProjectRule.getInputFieldUsed
|
private ImmutableBitSet.Builder getInputFieldUsed(Aggregate aggregate, RelNode input) {
// 1. group fields are always used
final ImmutableBitSet.Builder inputFieldsUsed =
aggregate.getGroupSet().rebuild();
// 2. agg functions
for (AggregateCall aggCall : aggregate.getAggCallList()) {
for (int i : aggCall.getArgList()) {
inputFieldsUsed.set(i);
}
if (aggCall.filterArg >= 0) {
inputFieldsUsed.set(aggCall.filterArg);
}
}
// 3. window time field if the aggregate is a group window aggregate.
if (aggregate instanceof LogicalWindowAggregate) {
inputFieldsUsed.set(getWindowTimeFieldIndex((LogicalWindowAggregate) aggregate, input));
}
return inputFieldsUsed;
}
|
java
|
private ImmutableBitSet.Builder getInputFieldUsed(Aggregate aggregate, RelNode input) {
// 1. group fields are always used
final ImmutableBitSet.Builder inputFieldsUsed =
aggregate.getGroupSet().rebuild();
// 2. agg functions
for (AggregateCall aggCall : aggregate.getAggCallList()) {
for (int i : aggCall.getArgList()) {
inputFieldsUsed.set(i);
}
if (aggCall.filterArg >= 0) {
inputFieldsUsed.set(aggCall.filterArg);
}
}
// 3. window time field if the aggregate is a group window aggregate.
if (aggregate instanceof LogicalWindowAggregate) {
inputFieldsUsed.set(getWindowTimeFieldIndex((LogicalWindowAggregate) aggregate, input));
}
return inputFieldsUsed;
}
|
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Compute which input fields are used by the aggregate.
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[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/plan/rules/logical/ExtendedAggregateExtractProjectRule.java#L124-L142
|
train
|
Gets the input field used by the given aggregate.
|
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apache/flink
|
flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/util/InterpreterUtils.java
|
InterpreterUtils.deserializeFunction
|
@SuppressWarnings("unchecked")
public static <X> X deserializeFunction(RuntimeContext context, byte[] serFun) throws FlinkException {
if (!jythonInitialized) {
// This branch is only tested by end-to-end tests
String path = context.getDistributedCache().getFile(PythonConstants.FLINK_PYTHON_DC_ID).getAbsolutePath();
String scriptName = PythonStreamExecutionEnvironment.PythonJobParameters.getScriptName(context.getExecutionConfig().getGlobalJobParameters());
try {
initPythonInterpreter(
new String[]{Paths.get(path, scriptName).toString()},
path,
scriptName);
} catch (Exception e) {
try {
LOG.error("Initialization of jython failed.", e);
throw new FlinkRuntimeException("Initialization of jython failed.", e);
} catch (Exception ie) {
// this may occur if the initial exception relies on jython being initialized properly
LOG.error("Initialization of jython failed. Could not print original stacktrace.", ie);
throw new FlinkRuntimeException("Initialization of jython failed. Could not print original stacktrace.");
}
}
}
try {
return (X) SerializationUtils.deserializeObject(serFun);
} catch (IOException | ClassNotFoundException ex) {
throw new FlinkException("Deserialization of user-function failed.", ex);
}
}
|
java
|
@SuppressWarnings("unchecked")
public static <X> X deserializeFunction(RuntimeContext context, byte[] serFun) throws FlinkException {
if (!jythonInitialized) {
// This branch is only tested by end-to-end tests
String path = context.getDistributedCache().getFile(PythonConstants.FLINK_PYTHON_DC_ID).getAbsolutePath();
String scriptName = PythonStreamExecutionEnvironment.PythonJobParameters.getScriptName(context.getExecutionConfig().getGlobalJobParameters());
try {
initPythonInterpreter(
new String[]{Paths.get(path, scriptName).toString()},
path,
scriptName);
} catch (Exception e) {
try {
LOG.error("Initialization of jython failed.", e);
throw new FlinkRuntimeException("Initialization of jython failed.", e);
} catch (Exception ie) {
// this may occur if the initial exception relies on jython being initialized properly
LOG.error("Initialization of jython failed. Could not print original stacktrace.", ie);
throw new FlinkRuntimeException("Initialization of jython failed. Could not print original stacktrace.");
}
}
}
try {
return (X) SerializationUtils.deserializeObject(serFun);
} catch (IOException | ClassNotFoundException ex) {
throw new FlinkException("Deserialization of user-function failed.", ex);
}
}
|
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Deserialize the given python function. If the functions class definition cannot be found we assume that this is
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via jython.
@param context the RuntimeContext of the java function
@param serFun serialized python UDF
@return deserialized python UDF
@throws FlinkException if the deserialization failed
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/util/InterpreterUtils.java#L64-L95
|
train
|
Deserializes a user - defined function.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ClassLoaderUtil.java
|
ClassLoaderUtil.loadClass
|
public static Class<?> loadClass(String name, boolean isInitialized) throws UtilException {
return loadClass(name, null, isInitialized);
}
|
java
|
public static Class<?> loadClass(String name, boolean isInitialized) throws UtilException {
return loadClass(name, null, isInitialized);
}
|
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加载类，通过传入类的字符串，返回其对应的类名，使用默认ClassLoader<br>
扩展{@link Class#forName(String, boolean, ClassLoader)}方法，支持以下几类类名的加载：
<pre>
1、原始类型，例如：int
2、数组类型，例如：int[]、Long[]、String[]
3、内部类，例如：java.lang.Thread.State会被转为java.lang.Thread$State加载
</pre>
@param name 类名
@param isInitialized 是否初始化类（调用static模块内容和初始化static属性）
@return 类名对应的类
@throws UtilException 包装{@link ClassNotFoundException}，没有类名对应的类时抛出此异常
|
[
"加载类，通过传入类的字符串，返回其对应的类名，使用默认ClassLoader<br",
">",
"扩展",
"{",
"@link",
"Class#forName",
"(",
"String",
"boolean",
"ClassLoader",
")",
"}",
"方法，支持以下几类类名的加载："
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ClassLoaderUtil.java#L125-L127
|
train
|
Load a class from a name.
|
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spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/DevtoolsEnablementDeducer.java
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DevtoolsEnablementDeducer.shouldEnable
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public static boolean shouldEnable(Thread thread) {
for (StackTraceElement element : thread.getStackTrace()) {
if (isSkippedStackElement(element)) {
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}
return true;
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|
java
|
public static boolean shouldEnable(Thread thread) {
for (StackTraceElement element : thread.getStackTrace()) {
if (isSkippedStackElement(element)) {
return false;
}
}
return true;
}
|
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Checks if a specific {@link StackTraceElement} in the current thread's stacktrace
should cause devtools to be disabled.
@param thread the current thread
@return {@code true} if devtools should be enabled skipped
|
[
"Checks",
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
|
https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot-devtools/src/main/java/org/springframework/boot/devtools/DevtoolsEnablementDeducer.java#L50-L57
|
train
|
Returns true if the given thread should be enabled.
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metrics/src/main/java/io/dropwizard/metrics/Timer.java
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Timer.time
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public <T> T time(Callable<T> event) throws Exception {
final long startTime = clock.getTick();
try {
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update(clock.getTick() - startTime);
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}
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java
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public <T> T time(Callable<T> event) throws Exception {
final long startTime = clock.getTick();
try {
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update(clock.getTick() - startTime);
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train
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java
|
DateUtil.yearAndQuarter
|
public static LinkedHashSet<String> yearAndQuarter(long startDate, long endDate) {
LinkedHashSet<String> quarters = new LinkedHashSet<>();
final Calendar cal = calendar(startDate);
while (startDate <= endDate) {
// 如果开始时间超出结束时间，让结束时间为开始时间，处理完后结束循环
quarters.add(yearAndQuarter(cal));
cal.add(Calendar.MONTH, 3);
startDate = cal.getTimeInMillis();
}
return quarters;
}
|
java
|
public static LinkedHashSet<String> yearAndQuarter(long startDate, long endDate) {
LinkedHashSet<String> quarters = new LinkedHashSet<>();
final Calendar cal = calendar(startDate);
while (startDate <= endDate) {
// 如果开始时间超出结束时间，让结束时间为开始时间，处理完后结束循环
quarters.add(yearAndQuarter(cal));
cal.add(Calendar.MONTH, 3);
startDate = cal.getTimeInMillis();
}
return quarters;
}
|
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] |
获得指定日期区间内的年份和季节<br>
@param startDate 起始日期（包含）
@param endDate 结束日期（包含）
@return 季度列表 ，元素类似于 20132
@since 4.1.15
|
[
"获得指定日期区间内的年份和季节<br",
">"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/date/DateUtil.java#L443-L455
|
train
|
Gets the calendar year and quarter parts from the start date and end date.
|
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|
flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08Fetcher.java
|
Kafka08Fetcher.createAndStartSimpleConsumerThread
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private SimpleConsumerThread<T> createAndStartSimpleConsumerThread(
List<KafkaTopicPartitionState<TopicAndPartition>> seedPartitions,
Node leader,
ExceptionProxy errorHandler) throws IOException, ClassNotFoundException {
// each thread needs its own copy of the deserializer, because the deserializer is
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final KafkaDeserializationSchema<T> clonedDeserializer =
InstantiationUtil.clone(deserializer, runtimeContext.getUserCodeClassLoader());
// seed thread with list of fetch partitions (otherwise it would shut down immediately again
SimpleConsumerThread<T> brokerThread = new SimpleConsumerThread<>(
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clonedDeserializer, invalidOffsetBehavior);
brokerThread.setName(String.format("SimpleConsumer - %s - broker-%s (%s:%d)",
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brokerThread.setDaemon(true);
brokerThread.start();
LOG.info("Starting thread {}", brokerThread.getName());
return brokerThread;
}
|
java
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private SimpleConsumerThread<T> createAndStartSimpleConsumerThread(
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final KafkaDeserializationSchema<T> clonedDeserializer =
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SimpleConsumerThread<T> brokerThread = new SimpleConsumerThread<>(
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clonedDeserializer, invalidOffsetBehavior);
brokerThread.setName(String.format("SimpleConsumer - %s - broker-%s (%s:%d)",
runtimeContext.getTaskName(), leader.id(), leader.host(), leader.port()));
brokerThread.setDaemon(true);
brokerThread.start();
LOG.info("Starting thread {}", brokerThread.getName());
return brokerThread;
}
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-connectors/flink-connector-kafka-0.8/src/main/java/org/apache/flink/streaming/connectors/kafka/internals/Kafka08Fetcher.java#L384-L405
|
train
|
Creates and starts a SimpleConsumerThread.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/convert/impl/ArrayConverter.java
|
ArrayConverter.convertObjectToArray
|
private Object convertObjectToArray(Object value) {
if (value instanceof CharSequence) {
if (targetComponentType == char.class || targetComponentType == Character.class) {
return convertArrayToArray(value.toString().toCharArray());
}
// 单纯字符串情况下按照逗号分隔后劈开
final String[] strings = StrUtil.split(value.toString(), StrUtil.COMMA);
return convertArrayToArray(strings);
}
final ConverterRegistry converter = ConverterRegistry.getInstance();
Object result = null;
if (value instanceof List) {
// List转数组
final List<?> list = (List<?>) value;
result = Array.newInstance(targetComponentType, list.size());
for (int i = 0; i < list.size(); i++) {
Array.set(result, i, converter.convert(targetComponentType, list.get(i)));
}
} else if (value instanceof Collection) {
// 集合转数组
final Collection<?> collection = (Collection<?>) value;
result = Array.newInstance(targetComponentType, collection.size());
int i = 0;
for (Object element : collection) {
Array.set(result, i, converter.convert(targetComponentType, element));
i++;
}
} else if (value instanceof Iterable) {
// 可循环对象转数组，可循环对象无法获取长度，因此先转为List后转为数组
final List<?> list = IterUtil.toList((Iterable<?>) value);
result = Array.newInstance(targetComponentType, list.size());
for (int i = 0; i < list.size(); i++) {
Array.set(result, i, converter.convert(targetComponentType, list.get(i)));
}
} else if (value instanceof Iterator) {
// 可循环对象转数组，可循环对象无法获取长度，因此先转为List后转为数组
final List<?> list = IterUtil.toList((Iterator<?>) value);
result = Array.newInstance(targetComponentType, list.size());
for (int i = 0; i < list.size(); i++) {
Array.set(result, i, converter.convert(targetComponentType, list.get(i)));
}
} else {
// everything else:
result = convertToSingleElementArray(value);
}
return result;
}
|
java
|
private Object convertObjectToArray(Object value) {
if (value instanceof CharSequence) {
if (targetComponentType == char.class || targetComponentType == Character.class) {
return convertArrayToArray(value.toString().toCharArray());
}
// 单纯字符串情况下按照逗号分隔后劈开
final String[] strings = StrUtil.split(value.toString(), StrUtil.COMMA);
return convertArrayToArray(strings);
}
final ConverterRegistry converter = ConverterRegistry.getInstance();
Object result = null;
if (value instanceof List) {
// List转数组
final List<?> list = (List<?>) value;
result = Array.newInstance(targetComponentType, list.size());
for (int i = 0; i < list.size(); i++) {
Array.set(result, i, converter.convert(targetComponentType, list.get(i)));
}
} else if (value instanceof Collection) {
// 集合转数组
final Collection<?> collection = (Collection<?>) value;
result = Array.newInstance(targetComponentType, collection.size());
int i = 0;
for (Object element : collection) {
Array.set(result, i, converter.convert(targetComponentType, element));
i++;
}
} else if (value instanceof Iterable) {
// 可循环对象转数组，可循环对象无法获取长度，因此先转为List后转为数组
final List<?> list = IterUtil.toList((Iterable<?>) value);
result = Array.newInstance(targetComponentType, list.size());
for (int i = 0; i < list.size(); i++) {
Array.set(result, i, converter.convert(targetComponentType, list.get(i)));
}
} else if (value instanceof Iterator) {
// 可循环对象转数组，可循环对象无法获取长度，因此先转为List后转为数组
final List<?> list = IterUtil.toList((Iterator<?>) value);
result = Array.newInstance(targetComponentType, list.size());
for (int i = 0; i < list.size(); i++) {
Array.set(result, i, converter.convert(targetComponentType, list.get(i)));
}
} else {
// everything else:
result = convertToSingleElementArray(value);
}
return result;
}
|
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")",
")",
";",
"int",
"i",
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"0",
";",
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";",
"i",
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";",
"}",
"}",
"else",
"if",
"(",
"value",
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")",
"{",
"// 可循环对象转数组，可循环对象无法获取长度，因此先转为List后转为数组\r",
"final",
"List",
"<",
"?",
">",
"list",
"=",
"IterUtil",
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"(",
"(",
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">",
")",
"value",
")",
";",
"result",
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"Array",
".",
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"targetComponentType",
",",
"list",
".",
"size",
"(",
")",
")",
";",
"for",
"(",
"int",
"i",
"=",
"0",
";",
"i",
"<",
"list",
".",
"size",
"(",
")",
";",
"i",
"++",
")",
"{",
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".",
"set",
"(",
"result",
",",
"i",
",",
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".",
"convert",
"(",
"targetComponentType",
",",
"list",
".",
"get",
"(",
"i",
")",
")",
")",
";",
"}",
"}",
"else",
"if",
"(",
"value",
"instanceof",
"Iterator",
")",
"{",
"// 可循环对象转数组，可循环对象无法获取长度，因此先转为List后转为数组\r",
"final",
"List",
"<",
"?",
">",
"list",
"=",
"IterUtil",
".",
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"(",
"(",
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")",
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";",
"}",
"}",
"else",
"{",
"// everything else:\r",
"result",
"=",
"convertToSingleElementArray",
"(",
"value",
")",
";",
"}",
"return",
"result",
";",
"}"
] |
非数组对数组转换
@param value 被转换值
@return 转换后的数组
|
[
"非数组对数组转换"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/convert/impl/ArrayConverter.java#L87-L137
|
train
|
Convert object to array.
|
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apache/spark
|
common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/OneForOneBlockFetcher.java
|
OneForOneBlockFetcher.start
|
public void start() {
if (blockIds.length == 0) {
throw new IllegalArgumentException("Zero-sized blockIds array");
}
client.sendRpc(openMessage.toByteBuffer(), new RpcResponseCallback() {
@Override
public void onSuccess(ByteBuffer response) {
try {
streamHandle = (StreamHandle) BlockTransferMessage.Decoder.fromByteBuffer(response);
logger.trace("Successfully opened blocks {}, preparing to fetch chunks.", streamHandle);
// Immediately request all chunks -- we expect that the total size of the request is
// reasonable due to higher level chunking in [[ShuffleBlockFetcherIterator]].
for (int i = 0; i < streamHandle.numChunks; i++) {
if (downloadFileManager != null) {
client.stream(OneForOneStreamManager.genStreamChunkId(streamHandle.streamId, i),
new DownloadCallback(i));
} else {
client.fetchChunk(streamHandle.streamId, i, chunkCallback);
}
}
} catch (Exception e) {
logger.error("Failed while starting block fetches after success", e);
failRemainingBlocks(blockIds, e);
}
}
@Override
public void onFailure(Throwable e) {
logger.error("Failed while starting block fetches", e);
failRemainingBlocks(blockIds, e);
}
});
}
|
java
|
public void start() {
if (blockIds.length == 0) {
throw new IllegalArgumentException("Zero-sized blockIds array");
}
client.sendRpc(openMessage.toByteBuffer(), new RpcResponseCallback() {
@Override
public void onSuccess(ByteBuffer response) {
try {
streamHandle = (StreamHandle) BlockTransferMessage.Decoder.fromByteBuffer(response);
logger.trace("Successfully opened blocks {}, preparing to fetch chunks.", streamHandle);
// Immediately request all chunks -- we expect that the total size of the request is
// reasonable due to higher level chunking in [[ShuffleBlockFetcherIterator]].
for (int i = 0; i < streamHandle.numChunks; i++) {
if (downloadFileManager != null) {
client.stream(OneForOneStreamManager.genStreamChunkId(streamHandle.streamId, i),
new DownloadCallback(i));
} else {
client.fetchChunk(streamHandle.streamId, i, chunkCallback);
}
}
} catch (Exception e) {
logger.error("Failed while starting block fetches after success", e);
failRemainingBlocks(blockIds, e);
}
}
@Override
public void onFailure(Throwable e) {
logger.error("Failed while starting block fetches", e);
failRemainingBlocks(blockIds, e);
}
});
}
|
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] |
Begins the fetching process, calling the listener with every block fetched.
The given message will be serialized with the Java serializer, and the RPC must return a
{@link StreamHandle}. We will send all fetch requests immediately, without throttling.
|
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] |
25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/OneForOneBlockFetcher.java#L108-L142
|
train
|
Starts the fetch process.
|
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spring-projects/spring-boot
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spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/DynamicRegistrationBean.java
|
DynamicRegistrationBean.setInitParameters
|
public void setInitParameters(Map<String, String> initParameters) {
Assert.notNull(initParameters, "InitParameters must not be null");
this.initParameters = new LinkedHashMap<>(initParameters);
}
|
java
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public void setInitParameters(Map<String, String> initParameters) {
Assert.notNull(initParameters, "InitParameters must not be null");
this.initParameters = new LinkedHashMap<>(initParameters);
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0b27f7c70e164b2b1a96477f1d9c1acba56790c1
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https://github.com/spring-projects/spring-boot/blob/0b27f7c70e164b2b1a96477f1d9c1acba56790c1/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/servlet/DynamicRegistrationBean.java#L84-L87
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train
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Sets the init parameters.
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/BufferUtil.java
|
BufferUtil.create
|
public static ByteBuffer create(CharSequence data, Charset charset) {
return create(StrUtil.bytes(data, charset));
}
|
java
|
public static ByteBuffer create(CharSequence data, Charset charset) {
return create(StrUtil.bytes(data, charset));
}
|
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从字符串创建新Buffer
@param data 数据
@param charset 编码
@return {@link ByteBuffer}
@since 4.5.0
|
[
"从字符串创建新Buffer"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/BufferUtil.java#L237-L239
|
train
|
Creates a ByteBuffer from a char sequence.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/operators/SingleInputOperator.java
|
SingleInputOperator.accept
|
@Override
public void accept(Visitor<Operator<?>> visitor) {
if (visitor.preVisit(this)) {
this.input.accept(visitor);
for (Operator<?> c : this.broadcastInputs.values()) {
c.accept(visitor);
}
visitor.postVisit(this);
}
}
|
java
|
@Override
public void accept(Visitor<Operator<?>> visitor) {
if (visitor.preVisit(this)) {
this.input.accept(visitor);
for (Operator<?> c : this.broadcastInputs.values()) {
c.accept(visitor);
}
visitor.postVisit(this);
}
}
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Accepts the visitor and applies it this instance. The visitors pre-visit method is called and, if returning
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@param visitor The visitor.
@see org.apache.flink.util.Visitable#accept(org.apache.flink.util.Visitor)
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/SingleInputOperator.java#L196-L205
|
train
|
Visit this operator.
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30526
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apache/incubator-shardingsphere
|
sharding-jdbc/sharding-jdbc-orchestration/src/main/java/org/apache/shardingsphere/shardingjdbc/orchestration/api/yaml/YamlOrchestrationMasterSlaveDataSourceFactory.java
|
YamlOrchestrationMasterSlaveDataSourceFactory.createDataSource
|
public static DataSource createDataSource(final Map<String, DataSource> dataSourceMap, final File yamlFile) throws SQLException, IOException {
YamlOrchestrationMasterSlaveRuleConfiguration config = unmarshal(yamlFile);
return createDataSource(dataSourceMap, config.getMasterSlaveRule(), config.getProps(), config.getOrchestration());
}
|
java
|
public static DataSource createDataSource(final Map<String, DataSource> dataSourceMap, final File yamlFile) throws SQLException, IOException {
YamlOrchestrationMasterSlaveRuleConfiguration config = unmarshal(yamlFile);
return createDataSource(dataSourceMap, config.getMasterSlaveRule(), config.getProps(), config.getOrchestration());
}
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|
[
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f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-jdbc/sharding-jdbc-orchestration/src/main/java/org/apache/shardingsphere/shardingjdbc/orchestration/api/yaml/YamlOrchestrationMasterSlaveDataSourceFactory.java#L74-L77
|
train
|
Create a DataSource from a yaml file.
|
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30526
] |
apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/operators/AbstractStreamOperator.java
|
AbstractStreamOperator.setup
|
@Override
public void setup(StreamTask<?, ?> containingTask, StreamConfig config, Output<StreamRecord<OUT>> output) {
final Environment environment = containingTask.getEnvironment();
this.container = containingTask;
this.config = config;
try {
OperatorMetricGroup operatorMetricGroup = environment.getMetricGroup().getOrAddOperator(config.getOperatorID(), config.getOperatorName());
this.output = new CountingOutput(output, operatorMetricGroup.getIOMetricGroup().getNumRecordsOutCounter());
if (config.isChainStart()) {
operatorMetricGroup.getIOMetricGroup().reuseInputMetricsForTask();
}
if (config.isChainEnd()) {
operatorMetricGroup.getIOMetricGroup().reuseOutputMetricsForTask();
}
this.metrics = operatorMetricGroup;
} catch (Exception e) {
LOG.warn("An error occurred while instantiating task metrics.", e);
this.metrics = UnregisteredMetricGroups.createUnregisteredOperatorMetricGroup();
this.output = output;
}
try {
Configuration taskManagerConfig = environment.getTaskManagerInfo().getConfiguration();
int historySize = taskManagerConfig.getInteger(MetricOptions.LATENCY_HISTORY_SIZE);
if (historySize <= 0) {
LOG.warn("{} has been set to a value equal or below 0: {}. Using default.", MetricOptions.LATENCY_HISTORY_SIZE, historySize);
historySize = MetricOptions.LATENCY_HISTORY_SIZE.defaultValue();
}
final String configuredGranularity = taskManagerConfig.getString(MetricOptions.LATENCY_SOURCE_GRANULARITY);
LatencyStats.Granularity granularity;
try {
granularity = LatencyStats.Granularity.valueOf(configuredGranularity.toUpperCase(Locale.ROOT));
} catch (IllegalArgumentException iae) {
granularity = LatencyStats.Granularity.OPERATOR;
LOG.warn(
"Configured value {} option for {} is invalid. Defaulting to {}.",
configuredGranularity,
MetricOptions.LATENCY_SOURCE_GRANULARITY.key(),
granularity);
}
TaskManagerJobMetricGroup jobMetricGroup = this.metrics.parent().parent();
this.latencyStats = new LatencyStats(jobMetricGroup.addGroup("latency"),
historySize,
container.getIndexInSubtaskGroup(),
getOperatorID(),
granularity);
} catch (Exception e) {
LOG.warn("An error occurred while instantiating latency metrics.", e);
this.latencyStats = new LatencyStats(
UnregisteredMetricGroups.createUnregisteredTaskManagerJobMetricGroup().addGroup("latency"),
1,
0,
new OperatorID(),
LatencyStats.Granularity.SINGLE);
}
this.runtimeContext = new StreamingRuntimeContext(this, environment, container.getAccumulatorMap());
stateKeySelector1 = config.getStatePartitioner(0, getUserCodeClassloader());
stateKeySelector2 = config.getStatePartitioner(1, getUserCodeClassloader());
}
|
java
|
@Override
public void setup(StreamTask<?, ?> containingTask, StreamConfig config, Output<StreamRecord<OUT>> output) {
final Environment environment = containingTask.getEnvironment();
this.container = containingTask;
this.config = config;
try {
OperatorMetricGroup operatorMetricGroup = environment.getMetricGroup().getOrAddOperator(config.getOperatorID(), config.getOperatorName());
this.output = new CountingOutput(output, operatorMetricGroup.getIOMetricGroup().getNumRecordsOutCounter());
if (config.isChainStart()) {
operatorMetricGroup.getIOMetricGroup().reuseInputMetricsForTask();
}
if (config.isChainEnd()) {
operatorMetricGroup.getIOMetricGroup().reuseOutputMetricsForTask();
}
this.metrics = operatorMetricGroup;
} catch (Exception e) {
LOG.warn("An error occurred while instantiating task metrics.", e);
this.metrics = UnregisteredMetricGroups.createUnregisteredOperatorMetricGroup();
this.output = output;
}
try {
Configuration taskManagerConfig = environment.getTaskManagerInfo().getConfiguration();
int historySize = taskManagerConfig.getInteger(MetricOptions.LATENCY_HISTORY_SIZE);
if (historySize <= 0) {
LOG.warn("{} has been set to a value equal or below 0: {}. Using default.", MetricOptions.LATENCY_HISTORY_SIZE, historySize);
historySize = MetricOptions.LATENCY_HISTORY_SIZE.defaultValue();
}
final String configuredGranularity = taskManagerConfig.getString(MetricOptions.LATENCY_SOURCE_GRANULARITY);
LatencyStats.Granularity granularity;
try {
granularity = LatencyStats.Granularity.valueOf(configuredGranularity.toUpperCase(Locale.ROOT));
} catch (IllegalArgumentException iae) {
granularity = LatencyStats.Granularity.OPERATOR;
LOG.warn(
"Configured value {} option for {} is invalid. Defaulting to {}.",
configuredGranularity,
MetricOptions.LATENCY_SOURCE_GRANULARITY.key(),
granularity);
}
TaskManagerJobMetricGroup jobMetricGroup = this.metrics.parent().parent();
this.latencyStats = new LatencyStats(jobMetricGroup.addGroup("latency"),
historySize,
container.getIndexInSubtaskGroup(),
getOperatorID(),
granularity);
} catch (Exception e) {
LOG.warn("An error occurred while instantiating latency metrics.", e);
this.latencyStats = new LatencyStats(
UnregisteredMetricGroups.createUnregisteredTaskManagerJobMetricGroup().addGroup("latency"),
1,
0,
new OperatorID(),
LatencyStats.Granularity.SINGLE);
}
this.runtimeContext = new StreamingRuntimeContext(this, environment, container.getAccumulatorMap());
stateKeySelector1 = config.getStatePartitioner(0, getUserCodeClassloader());
stateKeySelector2 = config.getStatePartitioner(1, getUserCodeClassloader());
}
|
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] |
------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/operators/AbstractStreamOperator.java#L169-L230
|
train
|
Setup the task.
|
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apache/incubator-shardingsphere
|
sharding-proxy/sharding-proxy-transport/sharding-proxy-transport-postgresql/src/main/java/org/apache/shardingsphere/shardingproxy/transport/postgresql/packet/command/query/binary/bind/protocol/PostgreSQLBinaryProtocolValueFactory.java
|
PostgreSQLBinaryProtocolValueFactory.getBinaryProtocolValue
|
public static PostgreSQLBinaryProtocolValue getBinaryProtocolValue(final PostgreSQLColumnType columnType) {
Preconditions.checkArgument(BINARY_PROTOCOL_VALUES.containsKey(columnType), "Cannot find PostgreSQL type '%s' in column type when process binary protocol value", columnType);
return BINARY_PROTOCOL_VALUES.get(columnType);
}
|
java
|
public static PostgreSQLBinaryProtocolValue getBinaryProtocolValue(final PostgreSQLColumnType columnType) {
Preconditions.checkArgument(BINARY_PROTOCOL_VALUES.containsKey(columnType), "Cannot find PostgreSQL type '%s' in column type when process binary protocol value", columnType);
return BINARY_PROTOCOL_VALUES.get(columnType);
}
|
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Get binary protocol value.
@param columnType column type
@return binary protocol value
|
[
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] |
f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-proxy/sharding-proxy-transport/sharding-proxy-transport-postgresql/src/main/java/org/apache/shardingsphere/shardingproxy/transport/postgresql/packet/command/query/binary/bind/protocol/PostgreSQLBinaryProtocolValueFactory.java#L95-L98
|
train
|
Gets binary protocol value.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/util/IOUtils.java
|
IOUtils.copyBytes
|
public static void copyBytes(final InputStream in, final OutputStream out, final int buffSize, final boolean close)
throws IOException {
@SuppressWarnings("resource")
final PrintStream ps = out instanceof PrintStream ? (PrintStream) out : null;
final byte[] buf = new byte[buffSize];
try {
int bytesRead = in.read(buf);
while (bytesRead >= 0) {
out.write(buf, 0, bytesRead);
if ((ps != null) && ps.checkError()) {
throw new IOException("Unable to write to output stream.");
}
bytesRead = in.read(buf);
}
} finally {
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out.close();
in.close();
}
}
}
|
java
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public static void copyBytes(final InputStream in, final OutputStream out, final int buffSize, final boolean close)
throws IOException {
@SuppressWarnings("resource")
final PrintStream ps = out instanceof PrintStream ? (PrintStream) out : null;
final byte[] buf = new byte[buffSize];
try {
int bytesRead = in.read(buf);
while (bytesRead >= 0) {
out.write(buf, 0, bytesRead);
if ((ps != null) && ps.checkError()) {
throw new IOException("Unable to write to output stream.");
}
bytesRead = in.read(buf);
}
} finally {
if (close) {
out.close();
in.close();
}
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/util/IOUtils.java#L56-L77
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train
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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(String to, String subject, String content, boolean isHtml, File... files) {
send(splitAddress(to), subject, content, isHtml, files);
}
|
java
|
public static void send(String to, String subject, String content, boolean isHtml, File... files) {
send(splitAddress(to), subject, content, isHtml, files);
}
|
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] |
使用配置文件中设置的账户发送邮件，发送单个或多个收件人<br>
多个收件人可以使用逗号“,”分隔，也可以通过分号“;”分隔
@param to 收件人
@param subject 标题
@param content 正文
@param isHtml 是否为HTML
@param files 附件列表
|
[
"使用配置文件中设置的账户发送邮件，发送单个或多个收件人<br",
">",
"多个收件人可以使用逗号“",
"”分隔，也可以通过分号“",
";",
"”分隔"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/mail/MailUtil.java#L56-L58
|
train
|
Send a message to a list of users.
|
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apache/flink
|
flink-filesystems/flink-swift-fs-hadoop/src/main/java/org/apache/hadoop/conf/Configuration.java
|
Configuration.substituteVars
|
private String substituteVars(String expr) {
if (expr == null) {
return null;
}
String eval = expr;
for (int s = 0; s < MAX_SUBST; s++) {
final int[] varBounds = findSubVariable(eval);
if (varBounds[SUB_START_IDX] == -1) {
return eval;
}
final String var = eval.substring(varBounds[SUB_START_IDX],
varBounds[SUB_END_IDX]);
String val = null;
try {
val = System.getProperty(var);
} catch(SecurityException se) {
LOG.warn("Unexpected SecurityException in Configuration", se);
}
if (val == null) {
val = getRaw(var);
}
if (val == null) {
return eval; // return literal ${var}: var is unbound
}
final int dollar = varBounds[SUB_START_IDX] - "${".length();
final int afterRightBrace = varBounds[SUB_END_IDX] + "}".length();
// substitute
eval = eval.substring(0, dollar)
+ val
+ eval.substring(afterRightBrace);
}
throw new IllegalStateException("Variable substitution depth too large: "
+ MAX_SUBST + " " + expr);
}
|
java
|
private String substituteVars(String expr) {
if (expr == null) {
return null;
}
String eval = expr;
for (int s = 0; s < MAX_SUBST; s++) {
final int[] varBounds = findSubVariable(eval);
if (varBounds[SUB_START_IDX] == -1) {
return eval;
}
final String var = eval.substring(varBounds[SUB_START_IDX],
varBounds[SUB_END_IDX]);
String val = null;
try {
val = System.getProperty(var);
} catch(SecurityException se) {
LOG.warn("Unexpected SecurityException in Configuration", se);
}
if (val == null) {
val = getRaw(var);
}
if (val == null) {
return eval; // return literal ${var}: var is unbound
}
final int dollar = varBounds[SUB_START_IDX] - "${".length();
final int afterRightBrace = varBounds[SUB_END_IDX] + "}".length();
// substitute
eval = eval.substring(0, dollar)
+ val
+ eval.substring(afterRightBrace);
}
throw new IllegalStateException("Variable substitution depth too large: "
+ MAX_SUBST + " " + expr);
}
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Attempts to repeatedly expand the value {@code expr} by replacing the
left-most substring of the form "${var}" in the following precedence order
<ol>
<li>by the value of the Java system property "var" if defined</li>
<li>by the value of the configuration key "var" if defined</li>
</ol>
If var is unbounded the current state of expansion "prefix${var}suffix" is
returned.
@param expr the literal value of a config key
@return null if expr is null, otherwise the value resulting from expanding
expr using the algorithm above.
@throws IllegalArgumentException when more than
{@link Configuration#MAX_SUBST} replacements are required
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-filesystems/flink-swift-fs-hadoop/src/main/java/org/apache/hadoop/conf/Configuration.java#L904-L937
|
train
|
Substitute variables in the given expression.
|
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30526
] |
netty/netty
|
transport/src/main/java/io/netty/channel/PendingWriteQueue.java
|
PendingWriteQueue.removeAndFailAll
|
public void removeAndFailAll(Throwable cause) {
assert ctx.executor().inEventLoop();
if (cause == null) {
throw new NullPointerException("cause");
}
// It is possible for some of the failed promises to trigger more writes. The new writes
// will "revive" the queue, so we need to clean them up until the queue is empty.
for (PendingWrite write = head; write != null; write = head) {
head = tail = null;
size = 0;
bytes = 0;
while (write != null) {
PendingWrite next = write.next;
ReferenceCountUtil.safeRelease(write.msg);
ChannelPromise promise = write.promise;
recycle(write, false);
safeFail(promise, cause);
write = next;
}
}
assertEmpty();
}
|
java
|
public void removeAndFailAll(Throwable cause) {
assert ctx.executor().inEventLoop();
if (cause == null) {
throw new NullPointerException("cause");
}
// It is possible for some of the failed promises to trigger more writes. The new writes
// will "revive" the queue, so we need to clean them up until the queue is empty.
for (PendingWrite write = head; write != null; write = head) {
head = tail = null;
size = 0;
bytes = 0;
while (write != null) {
PendingWrite next = write.next;
ReferenceCountUtil.safeRelease(write.msg);
ChannelPromise promise = write.promise;
recycle(write, false);
safeFail(promise, cause);
write = next;
}
}
assertEmpty();
}
|
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Remove all pending write operation and fail them with the given {@link Throwable}. The message will be released
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|
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/PendingWriteQueue.java#L166-L187
|
train
|
Remove all pending writes and fail all the failed messages.
|
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