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apache/flink
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flink-table/flink-table-common/src/main/java/org/apache/flink/table/descriptors/Schema.java
|
Schema.proctime
|
public Schema proctime() {
if (lastField == null) {
throw new ValidationException("No field defined previously. Use field() before.");
}
tableSchema.get(lastField).put(SCHEMA_PROCTIME, "true");
lastField = null;
return this;
}
|
java
|
public Schema proctime() {
if (lastField == null) {
throw new ValidationException("No field defined previously. Use field() before.");
}
tableSchema.get(lastField).put(SCHEMA_PROCTIME, "true");
lastField = null;
return this;
}
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Specifies the previously defined field as a processing-time attribute.
<p>E.g. field("proctime", Types.SQL_TIMESTAMP).proctime()
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-common/src/main/java/org/apache/flink/table/descriptors/Schema.java#L125-L132
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train
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Sets the schema to be proctime.
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30526
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apache/flink
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flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/utils/DataOutputEncoder.java
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DataOutputEncoder.writeString
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@Override
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writeBytes(bytes, 0, bytes.length);
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|
java
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@Override
public void writeString(String str) throws IOException {
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writeBytes(bytes, 0, bytes.length);
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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#L110-L114
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train
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Write a string to the output stream.
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30526
] |
looly/hutool
|
hutool-setting/src/main/java/cn/hutool/setting/Setting.java
|
Setting.put
|
public String put(String group, String key, String value) {
return this.groupedMap.put(group, key, value);
}
|
java
|
public String put(String group, String key, String value) {
return this.groupedMap.put(group, key, value);
}
|
[
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"groupedMap",
".",
"put",
"(",
"group",
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"key",
",",
"value",
")",
";",
"}"
] |
将键值对加入到对应分组中
@param group 分组
@param key 键
@param value 值
@return 此key之前存在的值，如果没有返回null
|
[
"将键值对加入到对应分组中"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-setting/src/main/java/cn/hutool/setting/Setting.java#L421-L423
|
train
|
Put a value into the group.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java
|
CollUtil.disjunction
|
public static <T> Collection<T> disjunction(Collection<T> coll1, Collection<T> coll2) {
if (isEmpty(coll1)) {
return coll2;
}
if (isEmpty(coll2)) {
return coll1;
}
final ArrayList<T> result = new ArrayList<>();
final Map<T, Integer> map1 = countMap(coll1);
final Map<T, Integer> map2 = countMap(coll2);
final Set<T> elts = newHashSet(coll2);
elts.addAll(coll1);
int m;
for (T t : elts) {
m = Math.abs(Convert.toInt(map1.get(t), 0) - Convert.toInt(map2.get(t), 0));
for (int i = 0; i < m; i++) {
result.add(t);
}
}
return result;
}
|
java
|
public static <T> Collection<T> disjunction(Collection<T> coll1, Collection<T> coll2) {
if (isEmpty(coll1)) {
return coll2;
}
if (isEmpty(coll2)) {
return coll1;
}
final ArrayList<T> result = new ArrayList<>();
final Map<T, Integer> map1 = countMap(coll1);
final Map<T, Integer> map2 = countMap(coll2);
final Set<T> elts = newHashSet(coll2);
elts.addAll(coll1);
int m;
for (T t : elts) {
m = Math.abs(Convert.toInt(map1.get(t), 0) - Convert.toInt(map2.get(t), 0));
for (int i = 0; i < m; i++) {
result.add(t);
}
}
return result;
}
|
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两个集合的差集<br>
针对一个集合中存在多个相同元素的情况，计算两个集合中此元素的个数，保留两个集合中此元素个数差的个数<br>
例如：集合1：[a, b, c, c, c]，集合2：[a, b, c, c]<br>
结果：[c]，此结果中只保留了一个<br>
任意一个集合为空，返回另一个集合<br>
两个集合无交集则返回两个集合的组合
@param <T> 集合元素类型
@param coll1 集合1
@param coll2 集合2
@return 差集的集合，返回 {@link ArrayList}
|
[
"两个集合的差集<br",
">",
"针对一个集合中存在多个相同元素的情况，计算两个集合中此元素的个数，保留两个集合中此元素个数差的个数<br",
">",
"例如：集合1：",
"[",
"a",
"b",
"c",
"c",
"c",
"]",
"，集合2：",
"[",
"a",
"b",
"c",
"c",
"]",
"<br",
">",
"结果：",
"[",
"c",
"]",
"，此结果中只保留了一个<br",
">",
"任意一个集合为空，返回另一个集合<br",
">",
"两个集合无交集则返回两个集合的组合"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/collection/CollUtil.java#L185-L206
|
train
|
Returns the disjunction of two collections.
|
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redisson/redisson
|
redisson/src/main/java/org/redisson/RedissonPriorityQueue.java
|
RedissonPriorityQueue.calcClassSign
|
private static String calcClassSign(String name) {
try {
Class<?> clazz = Class.forName(name);
ByteArrayOutputStream result = new ByteArrayOutputStream();
ObjectOutputStream outputStream = new ObjectOutputStream(result);
outputStream.writeObject(clazz);
outputStream.close();
MessageDigest crypt = MessageDigest.getInstance("SHA-1");
crypt.reset();
crypt.update(result.toByteArray());
return new BigInteger(1, crypt.digest()).toString(16);
} catch (Exception e) {
throw new IllegalStateException("Can't calculate sign of " + name, e);
}
}
|
java
|
private static String calcClassSign(String name) {
try {
Class<?> clazz = Class.forName(name);
ByteArrayOutputStream result = new ByteArrayOutputStream();
ObjectOutputStream outputStream = new ObjectOutputStream(result);
outputStream.writeObject(clazz);
outputStream.close();
MessageDigest crypt = MessageDigest.getInstance("SHA-1");
crypt.reset();
crypt.update(result.toByteArray());
return new BigInteger(1, crypt.digest()).toString(16);
} catch (Exception e) {
throw new IllegalStateException("Can't calculate sign of " + name, e);
}
}
|
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TODO cache result
|
[
"TODO",
"cache",
"result"
] |
d3acc0249b2d5d658d36d99e2c808ce49332ea44
|
https://github.com/redisson/redisson/blob/d3acc0249b2d5d658d36d99e2c808ce49332ea44/redisson/src/main/java/org/redisson/RedissonPriorityQueue.java#L142-L159
|
train
|
Calculate the sign of a class.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/NetworkEnvironmentConfiguration.java
|
NetworkEnvironmentConfiguration.createNettyConfig
|
@Nullable
private static NettyConfig createNettyConfig(
Configuration configuration,
boolean localTaskManagerCommunication,
InetAddress taskManagerAddress,
int dataport) {
final NettyConfig nettyConfig;
if (!localTaskManagerCommunication) {
final InetSocketAddress taskManagerInetSocketAddress = new InetSocketAddress(taskManagerAddress, dataport);
nettyConfig = new NettyConfig(taskManagerInetSocketAddress.getAddress(), taskManagerInetSocketAddress.getPort(),
getPageSize(configuration), ConfigurationParserUtils.getSlot(configuration), configuration);
} else {
nettyConfig = null;
}
return nettyConfig;
}
|
java
|
@Nullable
private static NettyConfig createNettyConfig(
Configuration configuration,
boolean localTaskManagerCommunication,
InetAddress taskManagerAddress,
int dataport) {
final NettyConfig nettyConfig;
if (!localTaskManagerCommunication) {
final InetSocketAddress taskManagerInetSocketAddress = new InetSocketAddress(taskManagerAddress, dataport);
nettyConfig = new NettyConfig(taskManagerInetSocketAddress.getAddress(), taskManagerInetSocketAddress.getPort(),
getPageSize(configuration), ConfigurationParserUtils.getSlot(configuration), configuration);
} else {
nettyConfig = null;
}
return nettyConfig;
}
|
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Generates {@link NettyConfig} from Flink {@link Configuration}.
@param configuration configuration object
@param localTaskManagerCommunication true, to skip initializing the network stack
@param taskManagerAddress identifying the IP address under which the TaskManager will be accessible
@param dataport data port for communication and data exchange
@return the netty configuration or {@code null} if communication is in the same task manager
|
[
"Generates",
"{",
"@link",
"NettyConfig",
"}",
"from",
"Flink",
"{",
"@link",
"Configuration",
"}",
"."
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/taskmanager/NetworkEnvironmentConfiguration.java#L424-L442
|
train
|
Create a NettyConfig object.
|
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/py/String2PinyinConverter.java
|
String2PinyinConverter.convert
|
public static List<Pinyin> convert(String complexText, boolean removeTone)
{
List<Pinyin> pinyinList = convert(complexText);
if (removeTone)
{
makeToneToTheSame(pinyinList);
}
return pinyinList;
}
|
java
|
public static List<Pinyin> convert(String complexText, boolean removeTone)
{
List<Pinyin> pinyinList = convert(complexText);
if (removeTone)
{
makeToneToTheSame(pinyinList);
}
return pinyinList;
}
|
[
"public",
"static",
"List",
"<",
"Pinyin",
">",
"convert",
"(",
"String",
"complexText",
",",
"boolean",
"removeTone",
")",
"{",
"List",
"<",
"Pinyin",
">",
"pinyinList",
"=",
"convert",
"(",
"complexText",
")",
";",
"if",
"(",
"removeTone",
")",
"{",
"makeToneToTheSame",
"(",
"pinyinList",
")",
";",
"}",
"return",
"pinyinList",
";",
"}"
] |
文本转拼音
@param complexText 文本
@param removeTone 是否将所有的音调都同一化
@return
|
[
"文本转拼音"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/py/String2PinyinConverter.java#L97-L105
|
train
|
Convert a complex text to a list of Pinyin objects.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java
|
NumberUtil.isLess
|
public static boolean isLess(BigDecimal bigNum1, BigDecimal bigNum2) {
Assert.notNull(bigNum1);
Assert.notNull(bigNum2);
return bigNum1.compareTo(bigNum2) < 0;
}
|
java
|
public static boolean isLess(BigDecimal bigNum1, BigDecimal bigNum2) {
Assert.notNull(bigNum1);
Assert.notNull(bigNum2);
return bigNum1.compareTo(bigNum2) < 0;
}
|
[
"public",
"static",
"boolean",
"isLess",
"(",
"BigDecimal",
"bigNum1",
",",
"BigDecimal",
"bigNum2",
")",
"{",
"Assert",
".",
"notNull",
"(",
"bigNum1",
")",
";",
"Assert",
".",
"notNull",
"(",
"bigNum2",
")",
";",
"return",
"bigNum1",
".",
"compareTo",
"(",
"bigNum2",
")",
"<",
"0",
";",
"}"
] |
比较大小，参数1 < 参数2 返回true
@param bigNum1 数字1
@param bigNum2 数字2
@return 是否小于
@since 3,0.9
|
[
"比较大小，参数1",
"<",
";",
"参数2",
"返回true"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/NumberUtil.java#L1650-L1654
|
train
|
Checks if the first argument is less than the second argument.
|
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apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
|
SqlValidatorImpl.deduceModality
|
private SqlModality deduceModality(SqlNode query) {
if (query instanceof SqlSelect) {
SqlSelect select = (SqlSelect) query;
return select.getModifierNode(SqlSelectKeyword.STREAM) != null
? SqlModality.STREAM
: SqlModality.RELATION;
} else if (query.getKind() == SqlKind.VALUES) {
return SqlModality.RELATION;
} else {
assert query.isA(SqlKind.SET_QUERY);
final SqlCall call = (SqlCall) query;
return deduceModality(call.getOperandList().get(0));
}
}
|
java
|
private SqlModality deduceModality(SqlNode query) {
if (query instanceof SqlSelect) {
SqlSelect select = (SqlSelect) query;
return select.getModifierNode(SqlSelectKeyword.STREAM) != null
? SqlModality.STREAM
: SqlModality.RELATION;
} else if (query.getKind() == SqlKind.VALUES) {
return SqlModality.RELATION;
} else {
assert query.isA(SqlKind.SET_QUERY);
final SqlCall call = (SqlCall) query;
return deduceModality(call.getOperandList().get(0));
}
}
|
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Return the intended modality of a SELECT or set-op.
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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/calcite/sql/validate/SqlValidatorImpl.java#L3574-L3587
|
train
|
deduce modality from a query
|
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netty/netty
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common/src/main/java/io/netty/util/concurrent/SingleThreadEventExecutor.java
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SingleThreadEventExecutor.addShutdownHook
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public void addShutdownHook(final Runnable task) {
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java
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public void addShutdownHook(final Runnable task) {
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/concurrent/SingleThreadEventExecutor.java#L499-L510
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train
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apache/flink
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flink-runtime/src/main/java/org/apache/flink/runtime/rest/handler/legacy/ExecutionGraphCache.java
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ExecutionGraphCache.getExecutionGraph
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public CompletableFuture<AccessExecutionGraph> getExecutionGraph(JobID jobId, RestfulGateway restfulGateway) {
return getExecutionGraphInternal(jobId, restfulGateway).thenApply(Function.identity());
}
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java
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public CompletableFuture<AccessExecutionGraph> getExecutionGraph(JobID jobId, RestfulGateway restfulGateway) {
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Gets the {@link AccessExecutionGraph} for the given {@link JobID} and caches it. The
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@param jobId identifying the {@link ArchivedExecutionGraph} to get
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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/rest/handler/legacy/ExecutionGraphCache.java#L83-L85
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train
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Get the access execution graph for the given job id.
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looly/hutool
|
hutool-setting/src/main/java/cn/hutool/setting/Setting.java
|
Setting.getMap
|
public Map<String, String> getMap(String group) {
final LinkedHashMap<String, String> map = this.groupedMap.get(group);
return (null != map) ? map : new LinkedHashMap<String, String>(0);
}
|
java
|
public Map<String, String> getMap(String group) {
final LinkedHashMap<String, String> map = this.groupedMap.get(group);
return (null != map) ? map : new LinkedHashMap<String, String>(0);
}
|
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获得指定分组的所有键值对，此方法获取的是原始键值对，获取的键值对可以被修改
@param group 分组
@return map
|
[
"获得指定分组的所有键值对，此方法获取的是原始键值对，获取的键值对可以被修改"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-setting/src/main/java/cn/hutool/setting/Setting.java#L264-L267
|
train
|
Gets the map of the specified group.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java
|
ImgUtil.binary
|
public static void binary(Image srcImage, OutputStream out, String imageType) {
binary(srcImage, getImageOutputStream(out), imageType);
}
|
java
|
public static void binary(Image srcImage, OutputStream out, String imageType) {
binary(srcImage, getImageOutputStream(out), imageType);
}
|
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"}"
] |
彩色转为黑白二值化图片<br>
此方法并不关闭流，输出JPG格式
@param srcImage 源图像流
@param out 目标图像流
@param imageType 图片格式(扩展名)
@since 4.0.5
|
[
"彩色转为黑白二值化图片<br",
">",
"此方法并不关闭流，输出JPG格式"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/img/ImgUtil.java#L712-L714
|
train
|
Copies the binary image to the output stream.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/writer/RecordWriter.java
|
RecordWriter.getBufferBuilder
|
private BufferBuilder getBufferBuilder(int targetChannel) throws IOException, InterruptedException {
if (bufferBuilders[targetChannel].isPresent()) {
return bufferBuilders[targetChannel].get();
} else {
return requestNewBufferBuilder(targetChannel);
}
}
|
java
|
private BufferBuilder getBufferBuilder(int targetChannel) throws IOException, InterruptedException {
if (bufferBuilders[targetChannel].isPresent()) {
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return requestNewBufferBuilder(targetChannel);
}
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The {@link BufferBuilder} may already exist if not filled up last time, otherwise we need
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|
[
"The",
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/io/network/api/writer/RecordWriter.java#L245-L251
|
train
|
Get the buffer builder for the given channel.
|
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30526
] |
looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.newerThan
|
public static boolean newerThan(File file, long timeMillis) {
if (null == file || false == file.exists()) {
return false;// 不存在的文件一定比任何时间旧
}
return file.lastModified() > timeMillis;
}
|
java
|
public static boolean newerThan(File file, long timeMillis) {
if (null == file || false == file.exists()) {
return false;// 不存在的文件一定比任何时间旧
}
return file.lastModified() > timeMillis;
}
|
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] |
给定文件或目录的最后修改时间是否晚于给定时间
@param file 文件或目录
@param timeMillis 做为对比的时间
@return 是否晚于给定时间
|
[
"给定文件或目录的最后修改时间是否晚于给定时间"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L580-L585
|
train
|
Checks if the given file is newer than the given time.
|
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apache/incubator-shardingsphere
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sharding-jdbc/sharding-jdbc-orchestration/src/main/java/org/apache/shardingsphere/shardingjdbc/orchestration/api/yaml/YamlOrchestrationShardingDataSourceFactory.java
|
YamlOrchestrationShardingDataSourceFactory.createDataSource
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public static DataSource createDataSource(final Map<String, DataSource> dataSourceMap, final File yamlFile) throws SQLException, IOException {
YamlOrchestrationShardingRuleConfiguration config = unmarshal(yamlFile);
return createDataSource(dataSourceMap, config.getShardingRule(), config.getProps(), config.getOrchestration());
}
|
java
|
public static DataSource createDataSource(final Map<String, DataSource> dataSourceMap, final File yamlFile) throws SQLException, IOException {
YamlOrchestrationShardingRuleConfiguration config = unmarshal(yamlFile);
return createDataSource(dataSourceMap, config.getShardingRule(), 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/YamlOrchestrationShardingDataSourceFactory.java#L74-L77
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train
|
Create a DataSource from a yaml file.
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoFactory.java
|
MongoFactory.getDS
|
public static MongoDS getDS(Setting setting, String... groups) {
final String key = setting.getSettingPath() + GROUP_SEPRATER + ArrayUtil.join(groups, GROUP_SEPRATER);
MongoDS ds = dsMap.get(key);
if (null == ds) {
// 没有在池中加入之
ds = new MongoDS(setting, groups);
dsMap.put(key, ds);
}
return ds;
}
|
java
|
public static MongoDS getDS(Setting setting, String... groups) {
final String key = setting.getSettingPath() + GROUP_SEPRATER + ArrayUtil.join(groups, GROUP_SEPRATER);
MongoDS ds = dsMap.get(key);
if (null == ds) {
// 没有在池中加入之
ds = new MongoDS(setting, groups);
dsMap.put(key, ds);
}
return ds;
}
|
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获取MongoDB数据源<br>
@param setting 设定文件
@param groups 分组列表
@return MongoDB连接
|
[
"获取MongoDB数据源<br",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/nosql/mongo/MongoFactory.java#L90-L100
|
train
|
Gets the DS object.
|
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apache/flink
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flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStreamBuilder.java
|
PatternStreamBuilder.forStreamAndPattern
|
static <IN> PatternStreamBuilder<IN> forStreamAndPattern(final DataStream<IN> inputStream, final Pattern<IN, ?> pattern) {
return new PatternStreamBuilder<>(inputStream, pattern, null, null);
}
|
java
|
static <IN> PatternStreamBuilder<IN> forStreamAndPattern(final DataStream<IN> inputStream, final Pattern<IN, ?> pattern) {
return new PatternStreamBuilder<>(inputStream, pattern, null, null);
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---------------------------------------- factory-like methods ---------------------------------------- //
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[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-cep/src/main/java/org/apache/flink/cep/PatternStreamBuilder.java#L151-L153
|
train
|
Create a PatternStreamBuilder for a DataStream and a Pattern.
|
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30526
] |
hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dictionary/CoreBiGramTableDictionary.java
|
CoreBiGramTableDictionary.reload
|
public static boolean reload()
{
String biGramDictionaryPath = HanLP.Config.BiGramDictionaryPath;
IOUtil.deleteFile(biGramDictionaryPath + ".table" + Predefine.BIN_EXT);
return load(biGramDictionaryPath);
}
|
java
|
public static boolean reload()
{
String biGramDictionaryPath = HanLP.Config.BiGramDictionaryPath;
IOUtil.deleteFile(biGramDictionaryPath + ".table" + Predefine.BIN_EXT);
return load(biGramDictionaryPath);
}
|
[
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] |
热更新二元接续词典<br>
集群环境（或其他IOAdapter）需要自行删除缓存文件
@return 是否成功
|
[
"热更新二元接续词典<br",
">",
"集群环境（或其他IOAdapter）需要自行删除缓存文件"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dictionary/CoreBiGramTableDictionary.java#L302-L308
|
train
|
Reload the NCBI SECTYPE
|
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apache/flink
|
flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/config/Environment.java
|
Environment.merge
|
public static Environment merge(Environment env1, Environment env2) {
final Environment mergedEnv = new Environment();
// merge tables
final Map<String, TableEntry> tables = new LinkedHashMap<>(env1.getTables());
tables.putAll(env2.getTables());
mergedEnv.tables = tables;
// merge functions
final Map<String, FunctionEntry> functions = new HashMap<>(env1.getFunctions());
functions.putAll(env2.getFunctions());
mergedEnv.functions = functions;
// merge execution properties
mergedEnv.execution = ExecutionEntry.merge(env1.getExecution(), env2.getExecution());
// merge deployment properties
mergedEnv.deployment = DeploymentEntry.merge(env1.getDeployment(), env2.getDeployment());
return mergedEnv;
}
|
java
|
public static Environment merge(Environment env1, Environment env2) {
final Environment mergedEnv = new Environment();
// merge tables
final Map<String, TableEntry> tables = new LinkedHashMap<>(env1.getTables());
tables.putAll(env2.getTables());
mergedEnv.tables = tables;
// merge functions
final Map<String, FunctionEntry> functions = new HashMap<>(env1.getFunctions());
functions.putAll(env2.getFunctions());
mergedEnv.functions = functions;
// merge execution properties
mergedEnv.execution = ExecutionEntry.merge(env1.getExecution(), env2.getExecution());
// merge deployment properties
mergedEnv.deployment = DeploymentEntry.merge(env1.getDeployment(), env2.getDeployment());
return mergedEnv;
}
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-sql-client/src/main/java/org/apache/flink/table/client/config/Environment.java#L164-L184
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train
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Merge two environments.
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/state/StateSerializerProvider.java
|
StateSerializerProvider.previousSchemaSerializer
|
@Nonnull
public final TypeSerializer<T> previousSchemaSerializer() {
if (cachedRestoredSerializer != null) {
return cachedRestoredSerializer;
}
if (previousSerializerSnapshot == null) {
throw new UnsupportedOperationException(
"This provider does not contain the state's previous serializer's snapshot. Cannot provider a serializer for previous schema.");
}
this.cachedRestoredSerializer = previousSerializerSnapshot.restoreSerializer();
return cachedRestoredSerializer;
}
|
java
|
@Nonnull
public final TypeSerializer<T> previousSchemaSerializer() {
if (cachedRestoredSerializer != null) {
return cachedRestoredSerializer;
}
if (previousSerializerSnapshot == null) {
throw new UnsupportedOperationException(
"This provider does not contain the state's previous serializer's snapshot. Cannot provider a serializer for previous schema.");
}
this.cachedRestoredSerializer = previousSerializerSnapshot.restoreSerializer();
return cachedRestoredSerializer;
}
|
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Gets the serializer that recognizes the previous serialization schema of the state.
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<p>This method only returns a serializer if this provider has the previous serializer's
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@return a serializer that reads and writes in the previous schema of the state.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/state/StateSerializerProvider.java#L178-L191
|
train
|
Returns the serializer for the previous schema.
|
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apache/spark
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sql/hive-thriftserver/src/gen/java/org/apache/hive/service/cli/thrift/TFetchResultsResp.java
|
TFetchResultsResp.isSet
|
public boolean isSet(_Fields field) {
if (field == null) {
throw new IllegalArgumentException();
}
switch (field) {
case STATUS:
return isSetStatus();
case HAS_MORE_ROWS:
return isSetHasMoreRows();
case RESULTS:
return isSetResults();
}
throw new IllegalStateException();
}
|
java
|
public boolean isSet(_Fields field) {
if (field == null) {
throw new IllegalArgumentException();
}
switch (field) {
case STATUS:
return isSetStatus();
case HAS_MORE_ROWS:
return isSetHasMoreRows();
case RESULTS:
return isSetResults();
}
throw new IllegalStateException();
}
|
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25ee0474f47d9c30d6f553a7892d9549f91071cf
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https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/gen/java/org/apache/hive/service/cli/thrift/TFetchResultsResp.java#L281-L295
|
train
|
Checks if field is set to a value of a CRAsCTYPE object.
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/windowing/triggers/ContinuousEventTimeTrigger.java
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ContinuousEventTimeTrigger.of
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public static <W extends Window> ContinuousEventTimeTrigger<W> of(Time interval) {
return new ContinuousEventTimeTrigger<>(interval.toMilliseconds());
}
|
java
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public static <W extends Window> ContinuousEventTimeTrigger<W> of(Time interval) {
return new ContinuousEventTimeTrigger<>(interval.toMilliseconds());
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/windowing/triggers/ContinuousEventTimeTrigger.java#L139-L141
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train
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Create a new continuous event time trigger.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.readString
|
public static String readString(String path, String charsetName) throws IORuntimeException {
return readString(file(path), charsetName);
}
|
java
|
public static String readString(String path, String charsetName) throws IORuntimeException {
return readString(file(path), charsetName);
}
|
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读取文件内容
@param path 文件路径
@param charsetName 字符集
@return 内容
@throws IORuntimeException IO异常
|
[
"读取文件内容"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L2114-L2116
|
train
|
Reads a string from a file.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/core/memory/MemorySegment.java
|
MemorySegment.putLongBigEndian
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public final void putLongBigEndian(int index, long value) {
if (LITTLE_ENDIAN) {
putLong(index, Long.reverseBytes(value));
} else {
putLong(index, value);
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}
|
java
|
public final void putLongBigEndian(int index, long value) {
if (LITTLE_ENDIAN) {
putLong(index, Long.reverseBytes(value));
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putLong(index, value);
}
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/core/memory/MemorySegment.java#L956-L962
|
train
|
Puts a long value into the buffer at the given index in big - endian order.
|
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alibaba/canal
|
client-adapter/hbase/src/main/java/com/alibaba/otter/canal/client/adapter/hbase/service/HbaseSyncService.java
|
HbaseSyncService.insert
|
private void insert(MappingConfig config, Dml dml) {
List<Map<String, Object>> data = dml.getData();
if (data == null || data.isEmpty()) {
return;
}
MappingConfig.HbaseMapping hbaseMapping = config.getHbaseMapping();
// if (!validHTable(config)) {
// logger.error("HBase table '{}' not exists",
// hbaseMapping.getHbaseTable());
// return;
// }
int i = 1;
boolean complete = false;
List<HRow> rows = new ArrayList<>();
for (Map<String, Object> r : data) {
HRow hRow = new HRow();
// 拼接复合rowKey
if (hbaseMapping.getRowKey() != null) {
String[] rowKeyColumns = hbaseMapping.getRowKey().trim().split(",");
String rowKeyVale = getRowKeys(rowKeyColumns, r);
// params.put("rowKey", Bytes.toBytes(rowKeyVale));
hRow.setRowKey(Bytes.toBytes(rowKeyVale));
}
convertData2Row(hbaseMapping, hRow, r);
if (hRow.getRowKey() == null) {
throw new RuntimeException("empty rowKey");
}
rows.add(hRow);
complete = false;
if (i % config.getHbaseMapping().getCommitBatch() == 0 && !rows.isEmpty()) {
hbaseTemplate.puts(hbaseMapping.getHbaseTable(), rows);
rows.clear();
complete = true;
}
i++;
}
if (!complete && !rows.isEmpty()) {
hbaseTemplate.puts(hbaseMapping.getHbaseTable(), rows);
}
}
|
java
|
private void insert(MappingConfig config, Dml dml) {
List<Map<String, Object>> data = dml.getData();
if (data == null || data.isEmpty()) {
return;
}
MappingConfig.HbaseMapping hbaseMapping = config.getHbaseMapping();
// if (!validHTable(config)) {
// logger.error("HBase table '{}' not exists",
// hbaseMapping.getHbaseTable());
// return;
// }
int i = 1;
boolean complete = false;
List<HRow> rows = new ArrayList<>();
for (Map<String, Object> r : data) {
HRow hRow = new HRow();
// 拼接复合rowKey
if (hbaseMapping.getRowKey() != null) {
String[] rowKeyColumns = hbaseMapping.getRowKey().trim().split(",");
String rowKeyVale = getRowKeys(rowKeyColumns, r);
// params.put("rowKey", Bytes.toBytes(rowKeyVale));
hRow.setRowKey(Bytes.toBytes(rowKeyVale));
}
convertData2Row(hbaseMapping, hRow, r);
if (hRow.getRowKey() == null) {
throw new RuntimeException("empty rowKey");
}
rows.add(hRow);
complete = false;
if (i % config.getHbaseMapping().getCommitBatch() == 0 && !rows.isEmpty()) {
hbaseTemplate.puts(hbaseMapping.getHbaseTable(), rows);
rows.clear();
complete = true;
}
i++;
}
if (!complete && !rows.isEmpty()) {
hbaseTemplate.puts(hbaseMapping.getHbaseTable(), rows);
}
}
|
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] |
插入操作
@param config 配置项
@param dml DML数据
|
[
"插入操作"
] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/client-adapter/hbase/src/main/java/com/alibaba/otter/canal/client/adapter/hbase/service/HbaseSyncService.java#L53-L97
|
train
|
Insert data in a DML file.
|
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apache/flink
|
flink-filesystems/flink-swift-fs-hadoop/src/main/java/org/apache/hadoop/conf/Configuration.java
|
Configuration.set
|
public void set(String name, String value, String source) {
Preconditions.checkArgument(
name != null,
"Property name must not be null");
Preconditions.checkArgument(
value != null,
"The value of property " + name + " must not be null");
name = name.trim();
DeprecationContext deprecations = deprecationContext.get();
if (deprecations.getDeprecatedKeyMap().isEmpty()) {
getProps();
}
getOverlay().setProperty(name, value);
getProps().setProperty(name, value);
String newSource = (source == null ? "programatically" : source);
if (!isDeprecated(name)) {
updatingResource.put(name, new String[] {newSource});
String[] altNames = getAlternativeNames(name);
if(altNames != null) {
for(String n: altNames) {
if(!n.equals(name)) {
getOverlay().setProperty(n, value);
getProps().setProperty(n, value);
updatingResource.put(n, new String[] {newSource});
}
}
}
}
else {
String[] names = handleDeprecation(deprecationContext.get(), name);
String altSource = "because " + name + " is deprecated";
for(String n : names) {
getOverlay().setProperty(n, value);
getProps().setProperty(n, value);
updatingResource.put(n, new String[] {altSource});
}
}
}
|
java
|
public void set(String name, String value, String source) {
Preconditions.checkArgument(
name != null,
"Property name must not be null");
Preconditions.checkArgument(
value != null,
"The value of property " + name + " must not be null");
name = name.trim();
DeprecationContext deprecations = deprecationContext.get();
if (deprecations.getDeprecatedKeyMap().isEmpty()) {
getProps();
}
getOverlay().setProperty(name, value);
getProps().setProperty(name, value);
String newSource = (source == null ? "programatically" : source);
if (!isDeprecated(name)) {
updatingResource.put(name, new String[] {newSource});
String[] altNames = getAlternativeNames(name);
if(altNames != null) {
for(String n: altNames) {
if(!n.equals(name)) {
getOverlay().setProperty(n, value);
getProps().setProperty(n, value);
updatingResource.put(n, new String[] {newSource});
}
}
}
}
else {
String[] names = handleDeprecation(deprecationContext.get(), name);
String altSource = "because " + name + " is deprecated";
for(String n : names) {
getOverlay().setProperty(n, value);
getProps().setProperty(n, value);
updatingResource.put(n, new String[] {altSource});
}
}
}
|
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Set the <code>value</code> of the <code>name</code> property. If
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the keys that replace the deprecated key. Name will be trimmed before put
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@param name property name.
@param value property value.
@param source the place that this configuration value came from
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@throws IllegalArgumentException when the value or name is null.
|
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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#L1104-L1142
|
train
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Sets the value of the specified property.
|
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apache/incubator-shardingsphere
|
sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/yaml/engine/YamlEngine.java
|
YamlEngine.unmarshal
|
public static <T extends YamlConfiguration> T unmarshal(final byte[] yamlBytes, final Class<T> classType) throws IOException {
try (InputStream inputStream = new ByteArrayInputStream(yamlBytes)) {
return new Yaml(new Constructor(classType)).loadAs(inputStream, classType);
}
}
|
java
|
public static <T extends YamlConfiguration> T unmarshal(final byte[] yamlBytes, final Class<T> classType) throws IOException {
try (InputStream inputStream = new ByteArrayInputStream(yamlBytes)) {
return new Yaml(new Constructor(classType)).loadAs(inputStream, classType);
}
}
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Unmarshal YAML.
@param yamlBytes YAML bytes
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@return object from YAML
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|
[
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"."
] |
f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-common/src/main/java/org/apache/shardingsphere/core/yaml/engine/YamlEngine.java#L72-L76
|
train
|
Unmarshals a YAML configuration from a byte array.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/CharsetUtil.java
|
CharsetUtil.convert
|
public static String convert(String source, String srcCharset, String destCharset) {
return convert(source, Charset.forName(srcCharset), Charset.forName(destCharset));
}
|
java
|
public static String convert(String source, String srcCharset, String destCharset) {
return convert(source, Charset.forName(srcCharset), Charset.forName(destCharset));
}
|
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] |
转换字符串的字符集编码
@param source 字符串
@param srcCharset 源字符集，默认ISO-8859-1
@param destCharset 目标字符集，默认UTF-8
@return 转换后的字符集
|
[
"转换字符串的字符集编码"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/CharsetUtil.java#L48-L50
|
train
|
Convert a String to a String using the specified charset.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/iterative/concurrent/Broker.java
|
Broker.handIn
|
public void handIn(String key, V obj) {
if (!retrieveSharedQueue(key).offer(obj)) {
throw new RuntimeException("Could not register the given element, broker slot is already occupied.");
}
}
|
java
|
public void handIn(String key, V obj) {
if (!retrieveSharedQueue(key).offer(obj)) {
throw new RuntimeException("Could not register the given element, broker slot is already occupied.");
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}
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Hand in the object to share.
|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/iterative/concurrent/Broker.java#L36-L40
|
train
|
Hand in an element to the shared queue.
|
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] |
netty/netty
|
resolver-dns/src/main/java/io/netty/resolver/dns/DnsResolveContext.java
|
DnsResolveContext.handleRedirect
|
private boolean handleRedirect(
DnsQuestion question, AddressedEnvelope<DnsResponse, InetSocketAddress> envelope,
final DnsQueryLifecycleObserver queryLifecycleObserver, Promise<List<T>> promise) {
final DnsResponse res = envelope.content();
// Check if we have answers, if not this may be an non authority NS and so redirects must be handled.
if (res.count(DnsSection.ANSWER) == 0) {
AuthoritativeNameServerList serverNames = extractAuthoritativeNameServers(question.name(), res);
if (serverNames != null) {
int additionalCount = res.count(DnsSection.ADDITIONAL);
AuthoritativeDnsServerCache authoritativeDnsServerCache = authoritativeDnsServerCache();
for (int i = 0; i < additionalCount; i++) {
final DnsRecord r = res.recordAt(DnsSection.ADDITIONAL, i);
if (r.type() == DnsRecordType.A && !parent.supportsARecords() ||
r.type() == DnsRecordType.AAAA && !parent.supportsAAAARecords()) {
continue;
}
// We may have multiple ADDITIONAL entries for the same nameserver name. For example one AAAA and
// one A record.
serverNames.handleWithAdditional(parent, r, authoritativeDnsServerCache);
}
// Process all unresolved nameservers as well.
serverNames.handleWithoutAdditionals(parent, resolveCache(), authoritativeDnsServerCache);
List<InetSocketAddress> addresses = serverNames.addressList();
// Give the user the chance to sort or filter the used servers for the query.
DnsServerAddressStream serverStream = parent.newRedirectDnsServerStream(
question.name(), addresses);
if (serverStream != null) {
query(serverStream, 0, question,
queryLifecycleObserver.queryRedirected(new DnsAddressStreamList(serverStream)),
true, promise, null);
return true;
}
}
}
return false;
}
|
java
|
private boolean handleRedirect(
DnsQuestion question, AddressedEnvelope<DnsResponse, InetSocketAddress> envelope,
final DnsQueryLifecycleObserver queryLifecycleObserver, Promise<List<T>> promise) {
final DnsResponse res = envelope.content();
// Check if we have answers, if not this may be an non authority NS and so redirects must be handled.
if (res.count(DnsSection.ANSWER) == 0) {
AuthoritativeNameServerList serverNames = extractAuthoritativeNameServers(question.name(), res);
if (serverNames != null) {
int additionalCount = res.count(DnsSection.ADDITIONAL);
AuthoritativeDnsServerCache authoritativeDnsServerCache = authoritativeDnsServerCache();
for (int i = 0; i < additionalCount; i++) {
final DnsRecord r = res.recordAt(DnsSection.ADDITIONAL, i);
if (r.type() == DnsRecordType.A && !parent.supportsARecords() ||
r.type() == DnsRecordType.AAAA && !parent.supportsAAAARecords()) {
continue;
}
// We may have multiple ADDITIONAL entries for the same nameserver name. For example one AAAA and
// one A record.
serverNames.handleWithAdditional(parent, r, authoritativeDnsServerCache);
}
// Process all unresolved nameservers as well.
serverNames.handleWithoutAdditionals(parent, resolveCache(), authoritativeDnsServerCache);
List<InetSocketAddress> addresses = serverNames.addressList();
// Give the user the chance to sort or filter the used servers for the query.
DnsServerAddressStream serverStream = parent.newRedirectDnsServerStream(
question.name(), addresses);
if (serverStream != null) {
query(serverStream, 0, question,
queryLifecycleObserver.queryRedirected(new DnsAddressStreamList(serverStream)),
true, promise, null);
return true;
}
}
}
return false;
}
|
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] |
Handles a redirect answer if needed and returns {@code true} if a redirect query has been made.
|
[
"Handles",
"a",
"redirect",
"answer",
"if",
"needed",
"and",
"returns",
"{"
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/resolver-dns/src/main/java/io/netty/resolver/dns/DnsResolveContext.java#L527-L570
|
train
|
Handle a redirect.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionGraph.java
|
ExecutionGraph.updateAccumulators
|
public void updateAccumulators(AccumulatorSnapshot accumulatorSnapshot) {
Map<String, Accumulator<?, ?>> userAccumulators;
try {
userAccumulators = accumulatorSnapshot.deserializeUserAccumulators(userClassLoader);
ExecutionAttemptID execID = accumulatorSnapshot.getExecutionAttemptID();
Execution execution = currentExecutions.get(execID);
if (execution != null) {
execution.setAccumulators(userAccumulators);
} else {
LOG.debug("Received accumulator result for unknown execution {}.", execID);
}
} catch (Exception e) {
LOG.error("Cannot update accumulators for job {}.", getJobID(), e);
}
}
|
java
|
public void updateAccumulators(AccumulatorSnapshot accumulatorSnapshot) {
Map<String, Accumulator<?, ?>> userAccumulators;
try {
userAccumulators = accumulatorSnapshot.deserializeUserAccumulators(userClassLoader);
ExecutionAttemptID execID = accumulatorSnapshot.getExecutionAttemptID();
Execution execution = currentExecutions.get(execID);
if (execution != null) {
execution.setAccumulators(userAccumulators);
} else {
LOG.debug("Received accumulator result for unknown execution {}.", execID);
}
} catch (Exception e) {
LOG.error("Cannot update accumulators for job {}.", getJobID(), e);
}
}
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@param accumulatorSnapshot The serialized flink and user-defined accumulators
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionGraph.java#L1666-L1681
|
train
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Updates the accumulators for the given accumulator snapshot.
|
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netty/netty
|
common/src/main/java/io/netty/util/CharsetUtil.java
|
CharsetUtil.decoder
|
public static CharsetDecoder decoder(Charset charset, CodingErrorAction malformedInputAction,
CodingErrorAction unmappableCharacterAction) {
checkNotNull(charset, "charset");
CharsetDecoder d = charset.newDecoder();
d.onMalformedInput(malformedInputAction).onUnmappableCharacter(unmappableCharacterAction);
return d;
}
|
java
|
public static CharsetDecoder decoder(Charset charset, CodingErrorAction malformedInputAction,
CodingErrorAction unmappableCharacterAction) {
checkNotNull(charset, "charset");
CharsetDecoder d = charset.newDecoder();
d.onMalformedInput(malformedInputAction).onUnmappableCharacter(unmappableCharacterAction);
return d;
}
|
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Returns a new {@link CharsetDecoder} for the {@link Charset} with specified error actions.
@param charset The specified charset
@param malformedInputAction The decoder's action for malformed-input errors
@param unmappableCharacterAction The decoder's action for unmappable-character errors
@return The decoder for the specified {@code charset}
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/common/src/main/java/io/netty/util/CharsetUtil.java#L144-L150
|
train
|
Gets a CharsetDecoder instance.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/highavailability/FsNegativeRunningJobsRegistry.java
|
FsNegativeRunningJobsRegistry.setJobRunning
|
@Override
public void setJobRunning(JobID jobID) throws IOException {
checkNotNull(jobID, "jobID");
final Path filePath = createMarkerFilePath(RUNNING_PREFIX, jobID);
// create the file
// to avoid an exception if the job already exists, set overwrite=true
createFile(filePath, true);
}
|
java
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@Override
public void setJobRunning(JobID jobID) throws IOException {
checkNotNull(jobID, "jobID");
final Path filePath = createMarkerFilePath(RUNNING_PREFIX, jobID);
// create the file
// to avoid an exception if the job already exists, set overwrite=true
createFile(filePath, true);
}
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/highavailability/FsNegativeRunningJobsRegistry.java#L115-L123
|
train
|
Sets the running state of the job.
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30526
] |
looly/hutool
|
hutool-cron/src/main/java/cn/hutool/cron/pattern/CronPattern.java
|
CronPattern.parseSinglePattern
|
private void parseSinglePattern(String pattern) {
final String[] parts = pattern.split("\\s");
int offset = 0;// 偏移量用于兼容Quartz表达式，当表达式有6或7项时，第一项为秒
if (parts.length == 6 || parts.length == 7) {
offset = 1;
} else if (parts.length != 5) {
throw new CronException("Pattern [{}] is invalid, it must be 5-7 parts!", pattern);
}
// 秒
if (1 == offset) {// 支持秒的表达式
try {
this.secondMatchers.add(ValueMatcherBuilder.build(parts[0], SECOND_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'second' field error!", pattern);
}
} else {// 不支持秒的表达式，则第一位按照表达式生成时间的秒数赋值，表示整分匹配
this.secondMatchers.add(ValueMatcherBuilder.build(String.valueOf(DateUtil.date().second()), SECOND_VALUE_PARSER));
}
// 分
try {
this.minuteMatchers.add(ValueMatcherBuilder.build(parts[0 + offset], MINUTE_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'minute' field error!", pattern);
}
// 小时
try {
this.hourMatchers.add(ValueMatcherBuilder.build(parts[1 + offset], HOUR_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'hour' field error!", pattern);
}
// 每月第几天
try {
this.dayOfMonthMatchers.add(ValueMatcherBuilder.build(parts[2 + offset], DAY_OF_MONTH_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'day of month' field error!", pattern);
}
// 月
try {
this.monthMatchers.add(ValueMatcherBuilder.build(parts[3 + offset], MONTH_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'month' field error!", pattern);
}
// 星期几
try {
this.dayOfWeekMatchers.add(ValueMatcherBuilder.build(parts[4 + offset], DAY_OF_WEEK_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'day of week' field error!", pattern);
}
// 年
if (parts.length == 7) {// 支持年的表达式
try {
this.yearMatchers.add(ValueMatcherBuilder.build(parts[6], YEAR_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'year' field error!", pattern);
}
} else {// 不支持年的表达式，全部匹配
this.secondMatchers.add(new AlwaysTrueValueMatcher());
}
matcherSize++;
}
|
java
|
private void parseSinglePattern(String pattern) {
final String[] parts = pattern.split("\\s");
int offset = 0;// 偏移量用于兼容Quartz表达式，当表达式有6或7项时，第一项为秒
if (parts.length == 6 || parts.length == 7) {
offset = 1;
} else if (parts.length != 5) {
throw new CronException("Pattern [{}] is invalid, it must be 5-7 parts!", pattern);
}
// 秒
if (1 == offset) {// 支持秒的表达式
try {
this.secondMatchers.add(ValueMatcherBuilder.build(parts[0], SECOND_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'second' field error!", pattern);
}
} else {// 不支持秒的表达式，则第一位按照表达式生成时间的秒数赋值，表示整分匹配
this.secondMatchers.add(ValueMatcherBuilder.build(String.valueOf(DateUtil.date().second()), SECOND_VALUE_PARSER));
}
// 分
try {
this.minuteMatchers.add(ValueMatcherBuilder.build(parts[0 + offset], MINUTE_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'minute' field error!", pattern);
}
// 小时
try {
this.hourMatchers.add(ValueMatcherBuilder.build(parts[1 + offset], HOUR_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'hour' field error!", pattern);
}
// 每月第几天
try {
this.dayOfMonthMatchers.add(ValueMatcherBuilder.build(parts[2 + offset], DAY_OF_MONTH_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'day of month' field error!", pattern);
}
// 月
try {
this.monthMatchers.add(ValueMatcherBuilder.build(parts[3 + offset], MONTH_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'month' field error!", pattern);
}
// 星期几
try {
this.dayOfWeekMatchers.add(ValueMatcherBuilder.build(parts[4 + offset], DAY_OF_WEEK_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'day of week' field error!", pattern);
}
// 年
if (parts.length == 7) {// 支持年的表达式
try {
this.yearMatchers.add(ValueMatcherBuilder.build(parts[6], YEAR_VALUE_PARSER));
} catch (Exception e) {
throw new CronException(e, "Invalid pattern [{}], parsing 'year' field error!", pattern);
}
} else {// 不支持年的表达式，全部匹配
this.secondMatchers.add(new AlwaysTrueValueMatcher());
}
matcherSize++;
}
|
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] |
解析单一定时任务表达式
@param pattern 表达式
|
[
"解析单一定时任务表达式"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-cron/src/main/java/cn/hutool/cron/pattern/CronPattern.java#L234-L295
|
train
|
Parses a single pattern.
|
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flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/generated/GeneratedClass.java
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GeneratedClass.newInstance
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java
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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netty/netty
|
transport/src/main/java/io/netty/channel/embedded/EmbeddedChannel.java
|
EmbeddedChannel.readOutbound
|
@SuppressWarnings("unchecked")
public <T> T readOutbound() {
T message = (T) poll(outboundMessages);
if (message != null) {
ReferenceCountUtil.touch(message, "Caller of readOutbound() will handle the message from this point.");
}
return message;
}
|
java
|
@SuppressWarnings("unchecked")
public <T> T readOutbound() {
T message = (T) poll(outboundMessages);
if (message != null) {
ReferenceCountUtil.touch(message, "Caller of readOutbound() will handle the message from this point.");
}
return message;
}
|
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Read data from the outbound. This may return {@code null} if nothing is readable.
|
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/embedded/EmbeddedChannel.java#L301-L308
|
train
|
Reads a message from the outbound messages queue.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/dependency/nnparser/Matrix.java
|
Matrix.print
|
public void print(NumberFormat format, int width)
{
print(new PrintWriter(System.out, true), format, width);
}
|
java
|
public void print(NumberFormat format, int width)
{
print(new PrintWriter(System.out, true), format, width);
}
|
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Print the matrix to stdout. Line the elements up in columns.
Use the format object, and right justify within columns of width
characters.
Note that is the matrix is to be read back in, you probably will want
to use a NumberFormat that is set to US Locale.
@param format A Formatting object for individual elements.
@param width Field width for each column.
@see DecimalFormat#setDecimalFormatSymbols
|
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] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/dependency/nnparser/Matrix.java#L1077-L1080
|
train
|
Print the sequence of tokens to stdout.
|
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looly/hutool
|
hutool-json/src/main/java/cn/hutool/json/JSONUtil.java
|
JSONUtil.wrap
|
public static Object wrap(Object object, boolean ignoreNullValue) {
if (object == null) {
return ignoreNullValue ? null : JSONNull.NULL;
}
if (object instanceof JSON //
|| JSONNull.NULL.equals(object) //
|| object instanceof JSONString //
|| object instanceof CharSequence //
|| object instanceof Number //
|| ObjectUtil.isBasicType(object) //
) {
return object;
}
try {
// JSONArray
if (object instanceof Iterable || ArrayUtil.isArray(object)) {
return new JSONArray(object, ignoreNullValue);
}
// JSONObject
if (object instanceof Map) {
return new JSONObject(object, ignoreNullValue);
}
// 日期类型原样保存，便于格式化
if (object instanceof Date || object instanceof Calendar) {
return object;
}
if (object instanceof Calendar) {
return ((Calendar) object).getTimeInMillis();
}
// 枚举类保存其字符串形式（4.0.2新增）
if (object instanceof Enum) {
return object.toString();
}
// Java内部类不做转换
final Class<?> objectClass = object.getClass();
final Package objectPackage = objectClass.getPackage();
final String objectPackageName = objectPackage != null ? objectPackage.getName() : "";
if (objectPackageName.startsWith("java.") || objectPackageName.startsWith("javax.") || objectClass.getClassLoader() == null) {
return object.toString();
}
// 默认按照JSONObject对待
return new JSONObject(object, ignoreNullValue);
} catch (Exception exception) {
return null;
}
}
|
java
|
public static Object wrap(Object object, boolean ignoreNullValue) {
if (object == null) {
return ignoreNullValue ? null : JSONNull.NULL;
}
if (object instanceof JSON //
|| JSONNull.NULL.equals(object) //
|| object instanceof JSONString //
|| object instanceof CharSequence //
|| object instanceof Number //
|| ObjectUtil.isBasicType(object) //
) {
return object;
}
try {
// JSONArray
if (object instanceof Iterable || ArrayUtil.isArray(object)) {
return new JSONArray(object, ignoreNullValue);
}
// JSONObject
if (object instanceof Map) {
return new JSONObject(object, ignoreNullValue);
}
// 日期类型原样保存，便于格式化
if (object instanceof Date || object instanceof Calendar) {
return object;
}
if (object instanceof Calendar) {
return ((Calendar) object).getTimeInMillis();
}
// 枚举类保存其字符串形式（4.0.2新增）
if (object instanceof Enum) {
return object.toString();
}
// Java内部类不做转换
final Class<?> objectClass = object.getClass();
final Package objectPackage = objectClass.getPackage();
final String objectPackageName = objectPackage != null ? objectPackage.getName() : "";
if (objectPackageName.startsWith("java.") || objectPackageName.startsWith("javax.") || objectClass.getClassLoader() == null) {
return object.toString();
}
// 默认按照JSONObject对待
return new JSONObject(object, ignoreNullValue);
} catch (Exception exception) {
return null;
}
}
|
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在需要的时候包装对象<br>
包装包括：
<ul>
<li><code>null</code> =》 <code>JSONNull.NULL</code></li>
<li>array or collection =》 JSONArray</li>
<li>map =》 JSONObject</li>
<li>standard property (Double, String, et al) =》 原对象</li>
<li>来自于java包 =》 字符串</li>
<li>其它 =》 尝试包装为JSONObject，否则返回<code>null</code></li>
</ul>
@param object 被包装的对象
@param ignoreNullValue 是否忽略{@code null} 值
@return 包装后的值，null表示此值需被忽略
|
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-json/src/main/java/cn/hutool/json/JSONUtil.java#L574-L623
|
train
|
Creates a new instance of the specified object with all the necessary fields.
|
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apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
|
SqlValidatorImpl.getNthExpr
|
private SqlNode getNthExpr(SqlNode query, int ordinal, int sourceCount) {
if (query instanceof SqlInsert) {
SqlInsert insert = (SqlInsert) query;
if (insert.getTargetColumnList() != null) {
return insert.getTargetColumnList().get(ordinal);
} else {
return getNthExpr(
insert.getSource(),
ordinal,
sourceCount);
}
} else if (query instanceof SqlUpdate) {
SqlUpdate update = (SqlUpdate) query;
if (update.getTargetColumnList() != null) {
return update.getTargetColumnList().get(ordinal);
} else if (update.getSourceExpressionList() != null) {
return update.getSourceExpressionList().get(ordinal);
} else {
return getNthExpr(
update.getSourceSelect(),
ordinal,
sourceCount);
}
} else if (query instanceof SqlSelect) {
SqlSelect select = (SqlSelect) query;
if (select.getSelectList().size() == sourceCount) {
return select.getSelectList().get(ordinal);
} else {
return query; // give up
}
} else {
return query; // give up
}
}
|
java
|
private SqlNode getNthExpr(SqlNode query, int ordinal, int sourceCount) {
if (query instanceof SqlInsert) {
SqlInsert insert = (SqlInsert) query;
if (insert.getTargetColumnList() != null) {
return insert.getTargetColumnList().get(ordinal);
} else {
return getNthExpr(
insert.getSource(),
ordinal,
sourceCount);
}
} else if (query instanceof SqlUpdate) {
SqlUpdate update = (SqlUpdate) query;
if (update.getTargetColumnList() != null) {
return update.getTargetColumnList().get(ordinal);
} else if (update.getSourceExpressionList() != null) {
return update.getSourceExpressionList().get(ordinal);
} else {
return getNthExpr(
update.getSourceSelect(),
ordinal,
sourceCount);
}
} else if (query instanceof SqlSelect) {
SqlSelect select = (SqlSelect) query;
if (select.getSelectList().size() == sourceCount) {
return select.getSelectList().get(ordinal);
} else {
return query; // give up
}
} else {
return query; // give up
}
}
|
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] |
Locates the n'th expression in an INSERT or UPDATE query.
@param query Query
@param ordinal Ordinal of expression
@param sourceCount Number of expressions
@return Ordinal'th expression, never null
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L4511-L4544
|
train
|
Gets the nth expression.
|
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looly/hutool
|
hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java
|
SecureUtil.readX509Certificate
|
public static Certificate readX509Certificate(InputStream in, char[] password, String alias) {
return KeyUtil.readX509Certificate(in, password, alias);
}
|
java
|
public static Certificate readX509Certificate(InputStream in, char[] password, String alias) {
return KeyUtil.readX509Certificate(in, password, alias);
}
|
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] |
读取X.509 Certification文件<br>
Certification为证书文件<br>
see: http://snowolf.iteye.com/blog/391931
@param in {@link InputStream} 如果想从文件读取.cer文件，使用 {@link FileUtil#getInputStream(java.io.File)} 读取
@param password 密码
@param alias 别名
@return {@link KeyStore}
@since 4.4.1
|
[
"读取X",
".",
"509",
"Certification文件<br",
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"Certification为证书文件<br",
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"//",
"snowolf",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-crypto/src/main/java/cn/hutool/crypto/SecureUtil.java#L335-L337
|
train
|
Read a X509 certificate from an input stream.
|
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30526
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looly/hutool
|
hutool-system/src/main/java/cn/hutool/system/SystemUtil.java
|
SystemUtil.get
|
public static String get(String name, String defaultValue) {
return StrUtil.nullToDefault(get(name, false), defaultValue);
}
|
java
|
public static String get(String name, String defaultValue) {
return StrUtil.nullToDefault(get(name, false), defaultValue);
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取得系统属性，如果因为Java安全的限制而失败，则将错误打在Log中，然后返回 <code>null</code>。
@param name 属性名
@param defaultValue 默认值
@return 属性值或<code>null</code>
|
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bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-system/src/main/java/cn/hutool/system/SystemUtil.java#L106-L108
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train
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Returns the value of the specified property as a String or defaultValue if the property is not set.
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30526
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/remote/RemoteWebDriverBuilder.java
|
RemoteWebDriverBuilder.oneOf
|
public RemoteWebDriverBuilder oneOf(Capabilities maybeThis, Capabilities... orOneOfThese) {
options.clear();
addAlternative(maybeThis);
for (Capabilities anOrOneOfThese : orOneOfThese) {
addAlternative(anOrOneOfThese);
}
return this;
}
|
java
|
public RemoteWebDriverBuilder oneOf(Capabilities maybeThis, Capabilities... orOneOfThese) {
options.clear();
addAlternative(maybeThis);
for (Capabilities anOrOneOfThese : orOneOfThese) {
addAlternative(anOrOneOfThese);
}
return this;
}
|
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Clears the current set of alternative browsers and instead sets the list of possible choices to
the arguments given to this method.
|
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/remote/RemoteWebDriverBuilder.java#L106-L113
|
train
|
Sets the alternative capabilities to be used.
|
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flink-metrics/flink-metrics-core/src/main/java/org/apache/flink/metrics/MetricConfig.java
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MetricConfig.getDouble
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public double getDouble(String key, double defaultValue) {
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java
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public double getDouble(String key, double defaultValue) {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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train
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SeleniumHQ/selenium
|
java/client/src/org/openqa/selenium/support/ui/Select.java
|
Select.deselectByValue
|
@Override
public void deselectByValue(String value) {
if (!isMultiple()) {
throw new UnsupportedOperationException(
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}
for (WebElement option : findOptionsByValue(value)) {
setSelected(option, false);
}
}
|
java
|
@Override
public void deselectByValue(String value) {
if (!isMultiple()) {
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}
for (WebElement option : findOptionsByValue(value)) {
setSelected(option, false);
}
}
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7af172729f17b20269c8ca4ea6f788db48616535
|
https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/support/ui/Select.java#L222-L232
|
train
|
Deselect all options with a value.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/types/Record.java
|
Record.setField
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public void setField(int fieldNum, Value value) {
// range check
if (fieldNum < 0) {
throw new IndexOutOfBoundsException();
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// if the field number is beyond the size, the tuple is expanded
if (fieldNum >= this.numFields) {
setNumFields(fieldNum + 1);
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internallySetField(fieldNum, value);
}
|
java
|
public void setField(int fieldNum, Value value) {
// range check
if (fieldNum < 0) {
throw new IndexOutOfBoundsException();
}
// if the field number is beyond the size, the tuple is expanded
if (fieldNum >= this.numFields) {
setNumFields(fieldNum + 1);
}
internallySetField(fieldNum, value);
}
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@param fieldNum The position of the field, starting at zero.
@param value The new value.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/Record.java#L402-L413
|
train
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Sets the value of the specified field.
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apache/spark
|
common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java
|
UTF8String.fromBytes
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public static UTF8String fromBytes(byte[] bytes) {
if (bytes != null) {
return new UTF8String(bytes, BYTE_ARRAY_OFFSET, bytes.length);
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}
|
java
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public static UTF8String fromBytes(byte[] bytes) {
if (bytes != null) {
return new UTF8String(bytes, BYTE_ARRAY_OFFSET, bytes.length);
} else {
return null;
}
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
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https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java#L110-L116
|
train
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Create a UTF8String from the given byte array.
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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) {
EntryPosition position = new EntryPosition();
position.setJournalName(event.getJournalName());
position.setPosition(event.getPosition());
position.setTimestamp(event.getExecuteTime());
// add serverId at 2016-06-28
position.setServerId(event.getServerId());
// add gtid
position.setGtid(event.getGtid());
LogPosition logPosition = new LogPosition();
logPosition.setPostion(position);
logPosition.setIdentity(event.getLogIdentity());
return logPosition;
}
|
java
|
public static LogPosition createPosition(Event event) {
EntryPosition position = new EntryPosition();
position.setJournalName(event.getJournalName());
position.setPosition(event.getPosition());
position.setTimestamp(event.getExecuteTime());
// add serverId at 2016-06-28
position.setServerId(event.getServerId());
// add gtid
position.setGtid(event.getGtid());
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#L48-L62
|
train
|
Create a log position object from an event.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/java/typeutils/ObjectArrayTypeInfo.java
|
ObjectArrayTypeInfo.getInfoFor
|
@SuppressWarnings("unchecked")
@PublicEvolving
public static <T, C> ObjectArrayTypeInfo<T, C> getInfoFor(TypeInformation<C> componentInfo) {
checkNotNull(componentInfo);
return new ObjectArrayTypeInfo<T, C>(
(Class<T>)Array.newInstance(componentInfo.getTypeClass(), 0).getClass(),
componentInfo);
}
|
java
|
@SuppressWarnings("unchecked")
@PublicEvolving
public static <T, C> ObjectArrayTypeInfo<T, C> getInfoFor(TypeInformation<C> componentInfo) {
checkNotNull(componentInfo);
return new ObjectArrayTypeInfo<T, C>(
(Class<T>)Array.newInstance(componentInfo.getTypeClass(), 0).getClass(),
componentInfo);
}
|
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Creates a new {@link org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo} from a
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<p>
This must be used in cases where the complete type of the array is not available as a
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|
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/ObjectArrayTypeInfo.java#L147-L155
|
train
|
Gets the ObjectArrayTypeInfo for the given type information.
|
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networknt/light-4j
|
body/src/main/java/com/networknt/body/BodyHandler.java
|
BodyHandler.attachJsonBody
|
private void attachJsonBody(final HttpServerExchange exchange, String string) throws IOException {
Object body;
if (string != null) {
string = string.trim();
if (string.startsWith("{")) {
body = Config.getInstance().getMapper().readValue(string, new TypeReference<Map<String, Object>>() {
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} else if (string.startsWith("[")) {
body = Config.getInstance().getMapper().readValue(string, new TypeReference<List<Object>>() {
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} else {
// error here. The content type in head doesn't match the body.
setExchangeStatus(exchange, CONTENT_TYPE_MISMATCH, "application/json");
return;
}
exchange.putAttachment(REQUEST_BODY, body);
}
}
|
java
|
private void attachJsonBody(final HttpServerExchange exchange, String string) throws IOException {
Object body;
if (string != null) {
string = string.trim();
if (string.startsWith("{")) {
body = Config.getInstance().getMapper().readValue(string, new TypeReference<Map<String, Object>>() {
});
} else if (string.startsWith("[")) {
body = Config.getInstance().getMapper().readValue(string, new TypeReference<List<Object>>() {
});
} else {
// error here. The content type in head doesn't match the body.
setExchangeStatus(exchange, CONTENT_TYPE_MISMATCH, "application/json");
return;
}
exchange.putAttachment(REQUEST_BODY, body);
}
}
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Method used to parse the body into a Map or a List and attach it into exchange
@param exchange exchange to be attached
@param string unparsed request body
@throws IOException
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/body/src/main/java/com/networknt/body/BodyHandler.java#L143-L160
|
train
|
Attach a json body to the exchange.
|
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30526
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looly/hutool
|
hutool-extra/src/main/java/cn/hutool/extra/ssh/Sftp.java
|
Sftp.init
|
public void init(String sshHost, int sshPort, String sshUser, String sshPass, Charset charset) {
this.host = sshHost;
this.port = sshPort;
this.user = sshUser;
this.password = sshPass;
init(JschUtil.getSession(sshHost, sshPort, sshUser, sshPass), charset);
}
|
java
|
public void init(String sshHost, int sshPort, String sshUser, String sshPass, Charset charset) {
this.host = sshHost;
this.port = sshPort;
this.user = sshUser;
this.password = sshPass;
init(JschUtil.getSession(sshHost, sshPort, sshUser, sshPass), charset);
}
|
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构造
@param sshHost 远程主机
@param sshPort 远程主机端口
@param sshUser 远程主机用户名
@param sshPass 远程主机密码
@param charset 编码
|
[
"构造"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-extra/src/main/java/cn/hutool/extra/ssh/Sftp.java#L106-L112
|
train
|
Initializes the connection to the remote server.
|
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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/ReferenceCountedOpenSslContext.java
|
ReferenceCountedOpenSslContext.toBIO
|
static long toBIO(ByteBufAllocator allocator, X509Certificate... certChain) throws Exception {
if (certChain == null) {
return 0;
}
if (certChain.length == 0) {
throw new IllegalArgumentException("certChain can't be empty");
}
PemEncoded pem = PemX509Certificate.toPEM(allocator, true, certChain);
try {
return toBIO(allocator, pem.retain());
} finally {
pem.release();
}
}
|
java
|
static long toBIO(ByteBufAllocator allocator, X509Certificate... certChain) throws Exception {
if (certChain == null) {
return 0;
}
if (certChain.length == 0) {
throw new IllegalArgumentException("certChain can't be empty");
}
PemEncoded pem = PemX509Certificate.toPEM(allocator, true, certChain);
try {
return toBIO(allocator, pem.retain());
} finally {
pem.release();
}
}
|
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Return the pointer to a <a href="https://www.openssl.org/docs/crypto/BIO_get_mem_ptr.html">in-memory BIO</a>
or {@code 0} if the {@code certChain} is {@code null}. The BIO contains the content of the {@code certChain}.
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/ReferenceCountedOpenSslContext.java#L833-L848
|
train
|
Convert a list of X509Certificate to a BIO.
|
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netty/netty
|
handler/src/main/java/io/netty/handler/ssl/SslContext.java
|
SslContext.newServerContext
|
@Deprecated
public static SslContext newServerContext(File certChainFile, File keyFile) throws SSLException {
return newServerContext(certChainFile, keyFile, null);
}
|
java
|
@Deprecated
public static SslContext newServerContext(File certChainFile, File keyFile) throws SSLException {
return newServerContext(certChainFile, keyFile, null);
}
|
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] |
Creates a new server-side {@link SslContext}.
@param certChainFile an X.509 certificate chain file in PEM format
@param keyFile a PKCS#8 private key file in PEM format
@return a new server-side {@link SslContext}
@deprecated Replaced by {@link SslContextBuilder}
|
[
"Creates",
"a",
"new",
"server",
"-",
"side",
"{",
"@link",
"SslContext",
"}",
"."
] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/handler/src/main/java/io/netty/handler/ssl/SslContext.java#L135-L138
|
train
|
Create a new server context using the specified certificate and key files.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/seg/common/Vertex.java
|
Vertex.newB
|
public static Vertex newB()
{
return new Vertex(Predefine.TAG_BIGIN, " ", new CoreDictionary.Attribute(Nature.begin, Predefine.MAX_FREQUENCY / 10), CoreDictionary.getWordID(Predefine.TAG_BIGIN));
}
|
java
|
public static Vertex newB()
{
return new Vertex(Predefine.TAG_BIGIN, " ", new CoreDictionary.Attribute(Nature.begin, Predefine.MAX_FREQUENCY / 10), CoreDictionary.getWordID(Predefine.TAG_BIGIN));
}
|
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生成线程安全的起始节点
@return
|
[
"生成线程安全的起始节点"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/seg/common/Vertex.java#L453-L456
|
train
|
Create a new BIGIN Vertex.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java
|
FileUtil.cleanInvalid
|
public static String cleanInvalid(String fileName) {
return StrUtil.isBlank(fileName) ? fileName : ReUtil.delAll(FILE_NAME_INVALID_PATTERN_WIN, fileName);
}
|
java
|
public static String cleanInvalid(String fileName) {
return StrUtil.isBlank(fileName) ? fileName : ReUtil.delAll(FILE_NAME_INVALID_PATTERN_WIN, fileName);
}
|
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] |
清除文件名中的在Windows下不支持的非法字符，包括： \ / : * ? " < > |
@param fileName 文件名（必须不包括路径，否则路径符将被替换）
@return 清理后的文件名
@since 3.3.1
|
[
"清除文件名中的在Windows下不支持的非法字符，包括：",
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":",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/io/FileUtil.java#L3255-L3257
|
train
|
Removes invalid characters from the given file name.
|
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looly/hutool
|
hutool-http/src/main/java/cn/hutool/http/HttpUtil.java
|
HttpUtil.getCharset
|
public static String getCharset(HttpURLConnection conn) {
if (conn == null) {
return null;
}
return ReUtil.get(CHARSET_PATTERN, conn.getContentType(), 1);
}
|
java
|
public static String getCharset(HttpURLConnection conn) {
if (conn == null) {
return null;
}
return ReUtil.get(CHARSET_PATTERN, conn.getContentType(), 1);
}
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从Http连接的头信息中获得字符集<br>
从ContentType中获取
@param conn HTTP连接对象
@return 字符集
|
[
"从Http连接的头信息中获得字符集<br",
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] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-http/src/main/java/cn/hutool/http/HttpUtil.java#L662-L667
|
train
|
Returns the charset of the given connection.
|
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SeleniumHQ/selenium
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java/client/src/org/openqa/selenium/interactions/Actions.java
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Actions.moveToElement
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public Actions moveToElement(WebElement target, int xOffset, int yOffset) {
if (isBuildingActions()) {
action.addAction(new MoveToOffsetAction(jsonMouse, (Locatable) target, xOffset, yOffset));
}
// Of course, this is the offset from the centre of the element. We have no idea what the width
// and height are once we execute this method.
LOG.info("When using the W3C Action commands, offsets are from the center of element");
return moveInTicks(target, xOffset, yOffset);
}
|
java
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public Actions moveToElement(WebElement target, int xOffset, int yOffset) {
if (isBuildingActions()) {
action.addAction(new MoveToOffsetAction(jsonMouse, (Locatable) target, xOffset, yOffset));
}
// Of course, this is the offset from the centre of the element. We have no idea what the width
// and height are once we execute this method.
LOG.info("When using the W3C Action commands, offsets are from the center of element");
return moveInTicks(target, xOffset, yOffset);
}
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@param target element to move to.
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7af172729f17b20269c8ca4ea6f788db48616535
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https://github.com/SeleniumHQ/selenium/blob/7af172729f17b20269c8ca4ea6f788db48616535/java/client/src/org/openqa/selenium/interactions/Actions.java#L376-L385
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train
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Move the mouse to the specified element.
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/common/operators/Ordering.java
|
Ordering.createNewOrderingUpToIndex
|
public Ordering createNewOrderingUpToIndex(int exclusiveIndex) {
if (exclusiveIndex == 0) {
return null;
}
final Ordering newOrdering = new Ordering();
for (int i = 0; i < exclusiveIndex; i++) {
newOrdering.appendOrdering(this.indexes.get(i), this.types.get(i), this.orders.get(i));
}
return newOrdering;
}
|
java
|
public Ordering createNewOrderingUpToIndex(int exclusiveIndex) {
if (exclusiveIndex == 0) {
return null;
}
final Ordering newOrdering = new Ordering();
for (int i = 0; i < exclusiveIndex; i++) {
newOrdering.appendOrdering(this.indexes.get(i), this.types.get(i), this.orders.get(i));
}
return newOrdering;
}
|
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@param exclusiveIndex The index (exclusive) up to which to create the ordering.
@return The new ordering on the prefix of the fields, or <code>null</code>, if the prefix is empty.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/operators/Ordering.java#L196-L205
|
train
|
Creates a new ordering up to the given index.
|
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/StateAssignmentOperation.java
|
StateAssignmentOperation.getKeyedStateHandles
|
public static List<KeyedStateHandle> getKeyedStateHandles(
Collection<? extends KeyedStateHandle> keyedStateHandles,
KeyGroupRange subtaskKeyGroupRange) {
List<KeyedStateHandle> subtaskKeyedStateHandles = new ArrayList<>(keyedStateHandles.size());
for (KeyedStateHandle keyedStateHandle : keyedStateHandles) {
KeyedStateHandle intersectedKeyedStateHandle = keyedStateHandle.getIntersection(subtaskKeyGroupRange);
if (intersectedKeyedStateHandle != null) {
subtaskKeyedStateHandles.add(intersectedKeyedStateHandle);
}
}
return subtaskKeyedStateHandles;
}
|
java
|
public static List<KeyedStateHandle> getKeyedStateHandles(
Collection<? extends KeyedStateHandle> keyedStateHandles,
KeyGroupRange subtaskKeyGroupRange) {
List<KeyedStateHandle> subtaskKeyedStateHandles = new ArrayList<>(keyedStateHandles.size());
for (KeyedStateHandle keyedStateHandle : keyedStateHandles) {
KeyedStateHandle intersectedKeyedStateHandle = keyedStateHandle.getIntersection(subtaskKeyGroupRange);
if (intersectedKeyedStateHandle != null) {
subtaskKeyedStateHandles.add(intersectedKeyedStateHandle);
}
}
return subtaskKeyedStateHandles;
}
|
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] |
Determine the subset of {@link KeyGroupsStateHandle KeyGroupsStateHandles} with correct
key group index for the given subtask {@link KeyGroupRange}.
<p>This is publicly visible to be used in tests.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/StateAssignmentOperation.java#L629-L644
|
train
|
Get the subset of the given keyed state handles.
|
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-100,
-100,
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3240,
17058,
24388,
2063,
1007,
1063,
2862,
1026,
3145,
2098,
9153,
2618,
11774,
2571,
1028,
4942,
10230,
19658,
17683,
5104,
12259,
11774,
4244,
1027,
2047,
9140,
9863,
1026,
1028,
1006,
3145,
2098,
9153,
2618,
11774,
4244,
30526
] |
apache/incubator-shardingsphere
|
sharding-core/sharding-core-optimize/src/main/java/org/apache/shardingsphere/core/optimize/condition/ShardingConditions.java
|
ShardingConditions.isAlwaysFalse
|
public boolean isAlwaysFalse() {
if (shardingConditions.isEmpty()) {
return false;
}
for (ShardingCondition each : shardingConditions) {
if (!(each instanceof AlwaysFalseShardingCondition)) {
return false;
}
}
return true;
}
|
java
|
public boolean isAlwaysFalse() {
if (shardingConditions.isEmpty()) {
return false;
}
for (ShardingCondition each : shardingConditions) {
if (!(each instanceof AlwaysFalseShardingCondition)) {
return false;
}
}
return true;
}
|
[
"public",
"boolean",
"isAlwaysFalse",
"(",
")",
"{",
"if",
"(",
"shardingConditions",
".",
"isEmpty",
"(",
")",
")",
"{",
"return",
"false",
";",
"}",
"for",
"(",
"ShardingCondition",
"each",
":",
"shardingConditions",
")",
"{",
"if",
"(",
"!",
"(",
"each",
"instanceof",
"AlwaysFalseShardingCondition",
")",
")",
"{",
"return",
"false",
";",
"}",
"}",
"return",
"true",
";",
"}"
] |
Judge sharding conditions is always false or not.
@return sharding conditions is always false or not
|
[
"Judge",
"sharding",
"conditions",
"is",
"always",
"false",
"or",
"not",
"."
] |
f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d
|
https://github.com/apache/incubator-shardingsphere/blob/f88fd29fc345dfb31fdce12e9e96cbfa0fd2402d/sharding-core/sharding-core-optimize/src/main/java/org/apache/shardingsphere/core/optimize/condition/ShardingConditions.java#L43-L53
|
train
|
Is always false.
|
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/HpackEncoder.java
|
HpackEncoder.encodeInteger
|
private static void encodeInteger(ByteBuf out, int mask, int n, int i) {
encodeInteger(out, mask, n, (long) i);
}
|
java
|
private static void encodeInteger(ByteBuf out, int mask, int n, int i) {
encodeInteger(out, mask, n, (long) i);
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
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https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/HpackEncoder.java#L227-L229
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train
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Encode a single integer into the buffer.
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apache/spark
|
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
|
VectorizedColumnReader.readBooleanBatch
|
private void readBooleanBatch(int rowId, int num, WritableColumnVector column)
throws IOException {
if (column.dataType() != DataTypes.BooleanType) {
throw constructConvertNotSupportedException(descriptor, column);
}
defColumn.readBooleans(
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}
|
java
|
private void readBooleanBatch(int rowId, int num, WritableColumnVector column)
throws IOException {
if (column.dataType() != DataTypes.BooleanType) {
throw constructConvertNotSupportedException(descriptor, column);
}
defColumn.readBooleans(
num, column, rowId, maxDefLevel, (VectorizedValuesReader) dataColumn);
}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
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https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java#L397-L404
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train
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Read a batch of boolean values from the column vector.
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flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/filesystem/Bucket.java
|
Bucket.getNew
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static <IN, BucketID> Bucket<IN, BucketID> getNew(
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final int subtaskIndex,
final BucketID bucketId,
final Path bucketPath,
final long initialPartCounter,
final PartFileWriter.PartFileFactory<IN, BucketID> partFileFactory,
final RollingPolicy<IN, BucketID> rollingPolicy) {
return new Bucket<>(fsWriter, subtaskIndex, bucketId, bucketPath, initialPartCounter, partFileFactory, rollingPolicy);
}
|
java
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static <IN, BucketID> Bucket<IN, BucketID> getNew(
final RecoverableWriter fsWriter,
final int subtaskIndex,
final BucketID bucketId,
final Path bucketPath,
final long initialPartCounter,
final PartFileWriter.PartFileFactory<IN, BucketID> partFileFactory,
final RollingPolicy<IN, BucketID> rollingPolicy) {
return new Bucket<>(fsWriter, subtaskIndex, bucketId, bucketPath, initialPartCounter, partFileFactory, rollingPolicy);
}
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Creates a new empty {@code Bucket}.
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@param bucketPath the path to where the part files for the bucket will be written to.
@param initialPartCounter the initial counter for the part files of the bucket.
@param partFileFactory the {@link PartFileWriter.PartFileFactory} the factory creating part file writers.
@param <IN> the type of input elements to the sink.
@param <BucketID> the type of the identifier of the bucket, as returned by the {@link BucketAssigner}
@return The new Bucket.
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[
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/functions/sink/filesystem/Bucket.java#L367-L376
|
train
|
Create a new instance of a bucket.
|
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30526
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.getFixString
|
public final String getFixString(final int len, String charsetName) {
if (position + len > origin + limit) throw new IllegalArgumentException("limit excceed: "
+ (position + len - origin));
final int from = position;
final int end = from + len;
byte[] buf = buffer;
int found = from;
for (; (found < end) && buf[found] != '\0'; found++)
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try {
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position += len;
return string;
} catch (UnsupportedEncodingException e) {
throw new IllegalArgumentException("Unsupported encoding: " + charsetName, e);
}
}
|
java
|
public final String getFixString(final int len, String charsetName) {
if (position + len > origin + limit) throw new IllegalArgumentException("limit excceed: "
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final int end = from + len;
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int found = from;
for (; (found < end) && buf[found] != '\0'; found++)
/* empty loop */;
try {
String string = new String(buf, from, found - from, charsetName);
position += len;
return string;
} catch (UnsupportedEncodingException e) {
throw new IllegalArgumentException("Unsupported encoding: " + charsetName, e);
}
}
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] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L1082-L1100
|
train
|
Gets the string of the specified length from the buffer.
|
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30526
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apache/flink
|
flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/FlinkKinesisConsumer.java
|
FlinkKinesisConsumer.initializeState
|
@Override
public void initializeState(FunctionInitializationContext context) throws Exception {
TypeInformation<Tuple2<StreamShardMetadata, SequenceNumber>> shardsStateTypeInfo = new TupleTypeInfo<>(
TypeInformation.of(StreamShardMetadata.class),
TypeInformation.of(SequenceNumber.class));
sequenceNumsStateForCheckpoint = context.getOperatorStateStore().getUnionListState(
new ListStateDescriptor<>(sequenceNumsStateStoreName, shardsStateTypeInfo));
if (context.isRestored()) {
if (sequenceNumsToRestore == null) {
sequenceNumsToRestore = new HashMap<>();
for (Tuple2<StreamShardMetadata, SequenceNumber> kinesisSequenceNumber : sequenceNumsStateForCheckpoint.get()) {
sequenceNumsToRestore.put(
// we wrap the restored metadata inside an equivalence wrapper that checks only stream name and shard id,
// so that if a shard had been closed (due to a Kinesis reshard operation, for example) since
// the savepoint and has a different metadata than what we last stored,
// we will still be able to match it in sequenceNumsToRestore. Please see FLINK-8484 for details.
new StreamShardMetadata.EquivalenceWrapper(kinesisSequenceNumber.f0),
kinesisSequenceNumber.f1);
}
LOG.info("Setting restore state in the FlinkKinesisConsumer. Using the following offsets: {}",
sequenceNumsToRestore);
}
} else {
LOG.info("No restore state for FlinkKinesisConsumer.");
}
}
|
java
|
@Override
public void initializeState(FunctionInitializationContext context) throws Exception {
TypeInformation<Tuple2<StreamShardMetadata, SequenceNumber>> shardsStateTypeInfo = new TupleTypeInfo<>(
TypeInformation.of(StreamShardMetadata.class),
TypeInformation.of(SequenceNumber.class));
sequenceNumsStateForCheckpoint = context.getOperatorStateStore().getUnionListState(
new ListStateDescriptor<>(sequenceNumsStateStoreName, shardsStateTypeInfo));
if (context.isRestored()) {
if (sequenceNumsToRestore == null) {
sequenceNumsToRestore = new HashMap<>();
for (Tuple2<StreamShardMetadata, SequenceNumber> kinesisSequenceNumber : sequenceNumsStateForCheckpoint.get()) {
sequenceNumsToRestore.put(
// we wrap the restored metadata inside an equivalence wrapper that checks only stream name and shard id,
// so that if a shard had been closed (due to a Kinesis reshard operation, for example) since
// the savepoint and has a different metadata than what we last stored,
// we will still be able to match it in sequenceNumsToRestore. Please see FLINK-8484 for details.
new StreamShardMetadata.EquivalenceWrapper(kinesisSequenceNumber.f0),
kinesisSequenceNumber.f1);
}
LOG.info("Setting restore state in the FlinkKinesisConsumer. Using the following offsets: {}",
sequenceNumsToRestore);
}
} else {
LOG.info("No restore state for FlinkKinesisConsumer.");
}
}
|
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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/FlinkKinesisConsumer.java#L370-L398
|
train
|
This method is called by the FlinkKinesisConsumer to initialize the state of the FlinkKinesisConsumer.
|
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apache/flink
|
flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java
|
RowTypeInfo.schemaEquals
|
public boolean schemaEquals(Object obj) {
return equals(obj) && Arrays.equals(fieldNames, ((RowTypeInfo) obj).fieldNames);
}
|
java
|
public boolean schemaEquals(Object obj) {
return equals(obj) && Arrays.equals(fieldNames, ((RowTypeInfo) obj).fieldNames);
}
|
[
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"(",
"(",
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")",
"obj",
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".",
"fieldNames",
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";",
"}"
] |
Tests whether an other object describes the same, schema-equivalent row information.
|
[
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"describes",
"the",
"same",
"schema",
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java#L295-L297
|
train
|
Returns true if this object is equal to the given object.
|
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flink-java/src/main/java/org/apache/flink/api/java/operators/UnsortedGrouping.java
|
UnsortedGrouping.aggregate
|
private AggregateOperator<T> aggregate(Aggregations agg, int field, String callLocationName) {
return new AggregateOperator<T>(this, agg, field, callLocationName);
}
|
java
|
private AggregateOperator<T> aggregate(Aggregations agg, int field, String callLocationName) {
return new AggregateOperator<T>(this, agg, field, callLocationName);
}
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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#L92-L94
|
train
|
Create an aggregate operator.
|
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apache/flink
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flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java
|
StateDescriptor.writeObject
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private void writeObject(final ObjectOutputStream out) throws IOException {
// write all the non-transient fields
out.defaultWriteObject();
// write the non-serializable default value field
if (defaultValue == null) {
// we don't have a default value
out.writeBoolean(false);
} else {
// we have a default value
out.writeBoolean(true);
byte[] serializedDefaultValue;
try (ByteArrayOutputStream baos = new ByteArrayOutputStream();
DataOutputViewStreamWrapper outView = new DataOutputViewStreamWrapper(baos)) {
TypeSerializer<T> duplicateSerializer = serializer.duplicate();
duplicateSerializer.serialize(defaultValue, outView);
outView.flush();
serializedDefaultValue = baos.toByteArray();
}
catch (Exception e) {
throw new IOException("Unable to serialize default value of type " +
defaultValue.getClass().getSimpleName() + ".", e);
}
out.writeInt(serializedDefaultValue.length);
out.write(serializedDefaultValue);
}
}
|
java
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private void writeObject(final ObjectOutputStream out) throws IOException {
// write all the non-transient fields
out.defaultWriteObject();
// write the non-serializable default value field
if (defaultValue == null) {
// we don't have a default value
out.writeBoolean(false);
} else {
// we have a default value
out.writeBoolean(true);
byte[] serializedDefaultValue;
try (ByteArrayOutputStream baos = new ByteArrayOutputStream();
DataOutputViewStreamWrapper outView = new DataOutputViewStreamWrapper(baos)) {
TypeSerializer<T> duplicateSerializer = serializer.duplicate();
duplicateSerializer.serialize(defaultValue, outView);
outView.flush();
serializedDefaultValue = baos.toByteArray();
}
catch (Exception e) {
throw new IOException("Unable to serialize default value of type " +
defaultValue.getClass().getSimpleName() + ".", e);
}
out.writeInt(serializedDefaultValue.length);
out.write(serializedDefaultValue);
}
}
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] |
------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/api/common/state/StateDescriptor.java#L334-L364
|
train
|
Writes the object.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java
|
ArrayUtil.wrap
|
public static Double[] wrap(double... values) {
if (null == values) {
return null;
}
final int length = values.length;
if (0 == length) {
return new Double[0];
}
final Double[] array = new Double[length];
for (int i = 0; i < length; i++) {
array[i] = Double.valueOf(values[i]);
}
return array;
}
|
java
|
public static Double[] wrap(double... values) {
if (null == values) {
return null;
}
final int length = values.length;
if (0 == length) {
return new Double[0];
}
final Double[] array = new Double[length];
for (int i = 0; i < length; i++) {
array[i] = Double.valueOf(values[i]);
}
return array;
}
|
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将原始类型数组包装为包装类型
@param values 原始类型数组
@return 包装类型数组
|
[
"将原始类型数组包装为包装类型"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L1663-L1677
|
train
|
Wraps the specified double array with the same amount of values.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/thread/ThreadUtil.java
|
ThreadUtil.sleep
|
public static boolean sleep(Number millis) {
if (millis == null) {
return true;
}
try {
Thread.sleep(millis.longValue());
} catch (InterruptedException e) {
return false;
}
return true;
}
|
java
|
public static boolean sleep(Number millis) {
if (millis == null) {
return true;
}
try {
Thread.sleep(millis.longValue());
} catch (InterruptedException e) {
return false;
}
return true;
}
|
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] |
挂起当前线程
@param millis 挂起的毫秒数
@return 被中断返回false，否则true
|
[
"挂起当前线程"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/thread/ThreadUtil.java#L224-L235
|
train
|
Sleep for the specified number of milliseconds.
|
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30526
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/lang/Singleton.java
|
Singleton.get
|
public static <T> T get(String className, Object... params) {
final Class<T> clazz = ClassUtil.loadClass(className);
return get(clazz, params);
}
|
java
|
public static <T> T get(String className, Object... params) {
final Class<T> clazz = ClassUtil.loadClass(className);
return get(clazz, params);
}
|
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] |
获得指定类的单例对象<br>
对象存在于池中返回，否则创建，每次调用此方法获得的对象为同一个对象<br>
注意：单例针对的是类和对象，因此get方法第一次调用时创建的对象始终唯一，也就是说就算参数变更，返回的依旧是第一次创建的对象
@param <T> 单例对象类型
@param className 类名
@param params 构造参数
@return 单例对象
|
[
"获得指定类的单例对象<br",
">",
"对象存在于池中返回，否则创建，每次调用此方法获得的对象为同一个对象<br",
">",
"注意：单例针对的是类和对象，因此get方法第一次调用时创建的对象始终唯一，也就是说就算参数变更，返回的依旧是第一次创建的对象"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/lang/Singleton.java#L60-L63
|
train
|
Gets an object from a class name.
|
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30526
] |
apache/flink
|
flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/util/SegmentsUtil.java
|
SegmentsUtil.copyToView
|
public static void copyToView(
MemorySegment[] segments,
int offset,
int sizeInBytes,
DataOutputView target) throws IOException {
for (MemorySegment sourceSegment : segments) {
int curSegRemain = sourceSegment.size() - offset;
if (curSegRemain > 0) {
int copySize = Math.min(curSegRemain, sizeInBytes);
byte[] bytes = allocateReuseBytes(copySize);
sourceSegment.get(offset, bytes, 0, copySize);
target.write(bytes, 0, copySize);
sizeInBytes -= copySize;
offset = 0;
} else {
offset -= sourceSegment.size();
}
if (sizeInBytes == 0) {
return;
}
}
if (sizeInBytes != 0) {
throw new RuntimeException("No copy finished, this should be a bug, " +
"The remaining length is: " + sizeInBytes);
}
}
|
java
|
public static void copyToView(
MemorySegment[] segments,
int offset,
int sizeInBytes,
DataOutputView target) throws IOException {
for (MemorySegment sourceSegment : segments) {
int curSegRemain = sourceSegment.size() - offset;
if (curSegRemain > 0) {
int copySize = Math.min(curSegRemain, sizeInBytes);
byte[] bytes = allocateReuseBytes(copySize);
sourceSegment.get(offset, bytes, 0, copySize);
target.write(bytes, 0, copySize);
sizeInBytes -= copySize;
offset = 0;
} else {
offset -= sourceSegment.size();
}
if (sizeInBytes == 0) {
return;
}
}
if (sizeInBytes != 0) {
throw new RuntimeException("No copy finished, this should be a bug, " +
"The remaining length is: " + sizeInBytes);
}
}
|
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Copy bytes of segments to output view.
Note: It just copies the data in, not include the length.
@param segments source segments
@param offset offset for segments
@param sizeInBytes size in bytes
@param target target output view
|
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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/util/SegmentsUtil.java#L209-L238
|
train
|
Copy the contents of the given array of MemorySegments to the given output view.
|
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apache/flink
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flink-formats/flink-json/src/main/java/org/apache/flink/formats/json/JsonRowSchemaConverter.java
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JsonRowSchemaConverter.convert
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@SuppressWarnings("unchecked")
public static <T> TypeInformation<T> convert(String jsonSchema) {
Preconditions.checkNotNull(jsonSchema, "JSON schema");
final ObjectMapper mapper = new ObjectMapper();
mapper.getFactory()
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final JsonNode node;
try {
node = mapper.readTree(jsonSchema);
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throw new IllegalArgumentException(
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return (TypeInformation<T>) convertType("<root>", node, node);
}
|
java
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@SuppressWarnings("unchecked")
public static <T> TypeInformation<T> convert(String jsonSchema) {
Preconditions.checkNotNull(jsonSchema, "JSON schema");
final ObjectMapper mapper = new ObjectMapper();
mapper.getFactory()
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final JsonNode node;
try {
node = mapper.readTree(jsonSchema);
} catch (IOException e) {
throw new IllegalArgumentException(
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}
return (TypeInformation<T>) convertType("<root>", node, node);
}
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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|
train
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Converts a JSON schema to a type information.
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30526
] |
apache/flink
|
flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java
|
SqlValidatorImpl.registerFrom
|
private SqlNode registerFrom(
SqlValidatorScope parentScope,
SqlValidatorScope usingScope,
boolean register,
final SqlNode node,
SqlNode enclosingNode,
String alias,
SqlNodeList extendList,
boolean forceNullable,
final boolean lateral) {
final SqlKind kind = node.getKind();
SqlNode expr;
SqlNode newExpr;
// Add an alias if necessary.
SqlNode newNode = node;
if (alias == null) {
switch (kind) {
case IDENTIFIER:
case OVER:
alias = deriveAlias(node, -1);
if (alias == null) {
alias = deriveAlias(node, nextGeneratedId++);
}
if (shouldExpandIdentifiers()) {
newNode = SqlValidatorUtil.addAlias(node, alias);
}
break;
case SELECT:
case UNION:
case INTERSECT:
case EXCEPT:
case VALUES:
case UNNEST:
case OTHER_FUNCTION:
case COLLECTION_TABLE:
case MATCH_RECOGNIZE:
// give this anonymous construct a name since later
// query processing stages rely on it
alias = deriveAlias(node, nextGeneratedId++);
if (shouldExpandIdentifiers()) {
// Since we're expanding identifiers, we should make the
// aliases explicit too, otherwise the expanded query
// will not be consistent if we convert back to SQL, e.g.
// "select EXPR$1.EXPR$2 from values (1)".
newNode = SqlValidatorUtil.addAlias(node, alias);
}
break;
}
}
if (lateral) {
SqlValidatorScope s = usingScope;
while (s instanceof JoinScope) {
s = ((JoinScope) s).getUsingScope();
}
final SqlNode node2 = s != null ? s.getNode() : node;
final TableScope tableScope = new TableScope(parentScope, node2);
if (usingScope instanceof ListScope) {
for (ScopeChild child : ((ListScope) usingScope).children) {
tableScope.addChild(child.namespace, child.name, child.nullable);
}
}
parentScope = tableScope;
}
SqlCall call;
SqlNode operand;
SqlNode newOperand;
switch (kind) {
case AS:
call = (SqlCall) node;
if (alias == null) {
alias = call.operand(1).toString();
}
final boolean needAlias = call.operandCount() > 2;
expr = call.operand(0);
newExpr =
registerFrom(
parentScope,
usingScope,
!needAlias,
expr,
enclosingNode,
alias,
extendList,
forceNullable,
lateral);
if (newExpr != expr) {
call.setOperand(0, newExpr);
}
// If alias has a column list, introduce a namespace to translate
// column names. We skipped registering it just now.
if (needAlias) {
registerNamespace(
usingScope,
alias,
new AliasNamespace(this, call, enclosingNode),
forceNullable);
}
return node;
case MATCH_RECOGNIZE:
registerMatchRecognize(parentScope, usingScope,
(SqlMatchRecognize) node, enclosingNode, alias, forceNullable);
return node;
case TABLESAMPLE:
call = (SqlCall) node;
expr = call.operand(0);
newExpr =
registerFrom(
parentScope,
usingScope,
true,
expr,
enclosingNode,
alias,
extendList,
forceNullable,
lateral);
if (newExpr != expr) {
call.setOperand(0, newExpr);
}
return node;
case JOIN:
final SqlJoin join = (SqlJoin) node;
final JoinScope joinScope =
new JoinScope(parentScope, usingScope, join);
scopes.put(join, joinScope);
final SqlNode left = join.getLeft();
final SqlNode right = join.getRight();
final boolean rightIsLateral = isLateral(right);
boolean forceLeftNullable = forceNullable;
boolean forceRightNullable = forceNullable;
switch (join.getJoinType()) {
case LEFT:
forceRightNullable = true;
break;
case RIGHT:
forceLeftNullable = true;
break;
case FULL:
forceLeftNullable = true;
forceRightNullable = true;
break;
}
final SqlNode newLeft =
registerFrom(
parentScope,
joinScope,
true,
left,
left,
null,
null,
forceLeftNullable,
lateral);
if (newLeft != left) {
join.setLeft(newLeft);
}
final SqlNode newRight =
registerFrom(
parentScope,
joinScope,
true,
right,
right,
null,
null,
forceRightNullable,
lateral);
if (newRight != right) {
join.setRight(newRight);
}
registerSubQueries(joinScope, join.getCondition());
final JoinNamespace joinNamespace = new JoinNamespace(this, join);
registerNamespace(null, null, joinNamespace, forceNullable);
return join;
case IDENTIFIER:
final SqlIdentifier id = (SqlIdentifier) node;
final IdentifierNamespace newNs =
new IdentifierNamespace(
this, id, extendList, enclosingNode,
parentScope);
registerNamespace(register ? usingScope : null, alias, newNs,
forceNullable);
if (tableScope == null) {
tableScope = new TableScope(parentScope, node);
}
tableScope.addChild(newNs, alias, forceNullable);
if (extendList != null && extendList.size() != 0) {
return enclosingNode;
}
return newNode;
case LATERAL:
return registerFrom(
parentScope,
usingScope,
register,
((SqlCall) node).operand(0),
enclosingNode,
alias,
extendList,
forceNullable,
true);
case COLLECTION_TABLE:
call = (SqlCall) node;
operand = call.operand(0);
newOperand =
registerFrom(
parentScope,
usingScope,
register,
operand,
enclosingNode,
alias,
extendList,
forceNullable, lateral);
if (newOperand != operand) {
call.setOperand(0, newOperand);
}
scopes.put(node, parentScope);
return newNode;
case UNNEST:
if (!lateral) {
return registerFrom(parentScope, usingScope, register, node,
enclosingNode, alias, extendList, forceNullable, true);
}
// fall through
case SELECT:
case UNION:
case INTERSECT:
case EXCEPT:
case VALUES:
case WITH:
case OTHER_FUNCTION:
if (alias == null) {
alias = deriveAlias(node, nextGeneratedId++);
}
registerQuery(
parentScope,
register ? usingScope : null,
node,
enclosingNode,
alias,
forceNullable);
return newNode;
case OVER:
if (!shouldAllowOverRelation()) {
throw Util.unexpected(kind);
}
call = (SqlCall) node;
final OverScope overScope = new OverScope(usingScope, call);
scopes.put(call, overScope);
operand = call.operand(0);
newOperand =
registerFrom(
parentScope,
overScope,
true,
operand,
enclosingNode,
alias,
extendList,
forceNullable,
lateral);
if (newOperand != operand) {
call.setOperand(0, newOperand);
}
for (ScopeChild child : overScope.children) {
registerNamespace(register ? usingScope : null, child.name,
child.namespace, forceNullable);
}
return newNode;
case EXTEND:
final SqlCall extend = (SqlCall) node;
return registerFrom(parentScope,
usingScope,
true,
extend.getOperandList().get(0),
extend,
alias,
(SqlNodeList) extend.getOperandList().get(1),
forceNullable,
lateral);
default:
throw Util.unexpected(kind);
}
}
|
java
|
private SqlNode registerFrom(
SqlValidatorScope parentScope,
SqlValidatorScope usingScope,
boolean register,
final SqlNode node,
SqlNode enclosingNode,
String alias,
SqlNodeList extendList,
boolean forceNullable,
final boolean lateral) {
final SqlKind kind = node.getKind();
SqlNode expr;
SqlNode newExpr;
// Add an alias if necessary.
SqlNode newNode = node;
if (alias == null) {
switch (kind) {
case IDENTIFIER:
case OVER:
alias = deriveAlias(node, -1);
if (alias == null) {
alias = deriveAlias(node, nextGeneratedId++);
}
if (shouldExpandIdentifiers()) {
newNode = SqlValidatorUtil.addAlias(node, alias);
}
break;
case SELECT:
case UNION:
case INTERSECT:
case EXCEPT:
case VALUES:
case UNNEST:
case OTHER_FUNCTION:
case COLLECTION_TABLE:
case MATCH_RECOGNIZE:
// give this anonymous construct a name since later
// query processing stages rely on it
alias = deriveAlias(node, nextGeneratedId++);
if (shouldExpandIdentifiers()) {
// Since we're expanding identifiers, we should make the
// aliases explicit too, otherwise the expanded query
// will not be consistent if we convert back to SQL, e.g.
// "select EXPR$1.EXPR$2 from values (1)".
newNode = SqlValidatorUtil.addAlias(node, alias);
}
break;
}
}
if (lateral) {
SqlValidatorScope s = usingScope;
while (s instanceof JoinScope) {
s = ((JoinScope) s).getUsingScope();
}
final SqlNode node2 = s != null ? s.getNode() : node;
final TableScope tableScope = new TableScope(parentScope, node2);
if (usingScope instanceof ListScope) {
for (ScopeChild child : ((ListScope) usingScope).children) {
tableScope.addChild(child.namespace, child.name, child.nullable);
}
}
parentScope = tableScope;
}
SqlCall call;
SqlNode operand;
SqlNode newOperand;
switch (kind) {
case AS:
call = (SqlCall) node;
if (alias == null) {
alias = call.operand(1).toString();
}
final boolean needAlias = call.operandCount() > 2;
expr = call.operand(0);
newExpr =
registerFrom(
parentScope,
usingScope,
!needAlias,
expr,
enclosingNode,
alias,
extendList,
forceNullable,
lateral);
if (newExpr != expr) {
call.setOperand(0, newExpr);
}
// If alias has a column list, introduce a namespace to translate
// column names. We skipped registering it just now.
if (needAlias) {
registerNamespace(
usingScope,
alias,
new AliasNamespace(this, call, enclosingNode),
forceNullable);
}
return node;
case MATCH_RECOGNIZE:
registerMatchRecognize(parentScope, usingScope,
(SqlMatchRecognize) node, enclosingNode, alias, forceNullable);
return node;
case TABLESAMPLE:
call = (SqlCall) node;
expr = call.operand(0);
newExpr =
registerFrom(
parentScope,
usingScope,
true,
expr,
enclosingNode,
alias,
extendList,
forceNullable,
lateral);
if (newExpr != expr) {
call.setOperand(0, newExpr);
}
return node;
case JOIN:
final SqlJoin join = (SqlJoin) node;
final JoinScope joinScope =
new JoinScope(parentScope, usingScope, join);
scopes.put(join, joinScope);
final SqlNode left = join.getLeft();
final SqlNode right = join.getRight();
final boolean rightIsLateral = isLateral(right);
boolean forceLeftNullable = forceNullable;
boolean forceRightNullable = forceNullable;
switch (join.getJoinType()) {
case LEFT:
forceRightNullable = true;
break;
case RIGHT:
forceLeftNullable = true;
break;
case FULL:
forceLeftNullable = true;
forceRightNullable = true;
break;
}
final SqlNode newLeft =
registerFrom(
parentScope,
joinScope,
true,
left,
left,
null,
null,
forceLeftNullable,
lateral);
if (newLeft != left) {
join.setLeft(newLeft);
}
final SqlNode newRight =
registerFrom(
parentScope,
joinScope,
true,
right,
right,
null,
null,
forceRightNullable,
lateral);
if (newRight != right) {
join.setRight(newRight);
}
registerSubQueries(joinScope, join.getCondition());
final JoinNamespace joinNamespace = new JoinNamespace(this, join);
registerNamespace(null, null, joinNamespace, forceNullable);
return join;
case IDENTIFIER:
final SqlIdentifier id = (SqlIdentifier) node;
final IdentifierNamespace newNs =
new IdentifierNamespace(
this, id, extendList, enclosingNode,
parentScope);
registerNamespace(register ? usingScope : null, alias, newNs,
forceNullable);
if (tableScope == null) {
tableScope = new TableScope(parentScope, node);
}
tableScope.addChild(newNs, alias, forceNullable);
if (extendList != null && extendList.size() != 0) {
return enclosingNode;
}
return newNode;
case LATERAL:
return registerFrom(
parentScope,
usingScope,
register,
((SqlCall) node).operand(0),
enclosingNode,
alias,
extendList,
forceNullable,
true);
case COLLECTION_TABLE:
call = (SqlCall) node;
operand = call.operand(0);
newOperand =
registerFrom(
parentScope,
usingScope,
register,
operand,
enclosingNode,
alias,
extendList,
forceNullable, lateral);
if (newOperand != operand) {
call.setOperand(0, newOperand);
}
scopes.put(node, parentScope);
return newNode;
case UNNEST:
if (!lateral) {
return registerFrom(parentScope, usingScope, register, node,
enclosingNode, alias, extendList, forceNullable, true);
}
// fall through
case SELECT:
case UNION:
case INTERSECT:
case EXCEPT:
case VALUES:
case WITH:
case OTHER_FUNCTION:
if (alias == null) {
alias = deriveAlias(node, nextGeneratedId++);
}
registerQuery(
parentScope,
register ? usingScope : null,
node,
enclosingNode,
alias,
forceNullable);
return newNode;
case OVER:
if (!shouldAllowOverRelation()) {
throw Util.unexpected(kind);
}
call = (SqlCall) node;
final OverScope overScope = new OverScope(usingScope, call);
scopes.put(call, overScope);
operand = call.operand(0);
newOperand =
registerFrom(
parentScope,
overScope,
true,
operand,
enclosingNode,
alias,
extendList,
forceNullable,
lateral);
if (newOperand != operand) {
call.setOperand(0, newOperand);
}
for (ScopeChild child : overScope.children) {
registerNamespace(register ? usingScope : null, child.name,
child.namespace, forceNullable);
}
return newNode;
case EXTEND:
final SqlCall extend = (SqlCall) node;
return registerFrom(parentScope,
usingScope,
true,
extend.getOperandList().get(0),
extend,
alias,
(SqlNodeList) extend.getOperandList().get(1),
forceNullable,
lateral);
default:
throw Util.unexpected(kind);
}
}
|
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] |
Registers scopes and namespaces implied a relational expression in the
FROM clause.
<p>{@code parentScope} and {@code usingScope} are often the same. They
differ when the namespace are not visible within the parent. (Example
needed.)
<p>Likewise, {@code enclosingNode} and {@code node} are often the same.
{@code enclosingNode} is the topmost node within the FROM clause, from
which any decorations like an alias (<code>AS alias</code>) or a table
sample clause are stripped away to get {@code node}. Both are recorded in
the namespace.
@param parentScope Parent scope which this scope turns to in order to
resolve objects
@param usingScope Scope whose child list this scope should add itself to
@param register Whether to register this scope as a child of
{@code usingScope}
@param node Node which namespace is based on
@param enclosingNode Outermost node for namespace, including decorations
such as alias and sample clause
@param alias Alias
@param extendList Definitions of extended columns
@param forceNullable Whether to force the type of namespace to be
nullable because it is in an outer join
@param lateral Whether LATERAL is specified, so that items to the
left of this in the JOIN tree are visible in the
scope
@return registered node, usually the same as {@code node}
|
[
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"scopes",
"and",
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"implied",
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"relational",
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-table/flink-table-planner/src/main/java/org/apache/calcite/sql/validate/SqlValidatorImpl.java#L1981-L2283
|
train
|
Register from statement.
|
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] |
looly/hutool
|
hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelFileUtil.java
|
ExcelFileUtil.isXls
|
public static boolean isXls(InputStream in) {
final PushbackInputStream pin = IoUtil.toPushbackStream(in, 8);
try {
return FileMagic.valueOf(pin) == FileMagic.OLE2;
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
java
|
public static boolean isXls(InputStream in) {
final PushbackInputStream pin = IoUtil.toPushbackStream(in, 8);
try {
return FileMagic.valueOf(pin) == FileMagic.OLE2;
} catch (IOException e) {
throw new IORuntimeException(e);
}
}
|
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] |
是否为XLS格式的Excel文件（HSSF）<br>
XLS文件主要用于Excel 97~2003创建
@param in excel输入流
@return 是否为XLS格式的Excel文件（HSSF）
|
[
"是否为XLS格式的Excel文件（HSSF）<br",
">",
"XLS文件主要用于Excel",
"97~2003创建"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/ExcelFileUtil.java#L28-L35
|
train
|
Checks if the given input stream is a XLS file.
|
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apache/flink
|
flink-libraries/flink-python/src/main/java/org/apache/flink/python/api/streaming/data/PythonDualInputSender.java
|
PythonDualInputSender.sendBuffer1
|
public int sendBuffer1(SingleElementPushBackIterator<IN1> input) throws IOException {
if (serializer1 == null) {
IN1 value = input.next();
serializer1 = getSerializer(value);
input.pushBack(value);
}
return sendBuffer(input, serializer1);
}
|
java
|
public int sendBuffer1(SingleElementPushBackIterator<IN1> input) throws IOException {
if (serializer1 == null) {
IN1 value = input.next();
serializer1 = getSerializer(value);
input.pushBack(value);
}
return sendBuffer(input, serializer1);
}
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Extracts records from an iterator and writes them to the memory-mapped file. This method assumes that all values
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guarantee that the file may be written to before calling this method.
@param input iterator containing records
@return size of the written buffer
@throws IOException
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-python/src/main/java/org/apache/flink/python/api/streaming/data/PythonDualInputSender.java#L51-L58
|
train
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Sends a single element iterator to the server.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java
|
MapUtil.getInt
|
public static Integer getInt(Map<?, ?> map, Object key) {
return get(map, key, Integer.class);
}
|
java
|
public static Integer getInt(Map<?, ?> map, Object key) {
return get(map, key, Integer.class);
}
|
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获取Map指定key的值，并转换为Integer
@param map Map
@param key 键
@return 值
@since 4.0.6
|
[
"获取Map指定key的值，并转换为Integer"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/map/MapUtil.java#L768-L770
|
train
|
Gets the Integer value from the map.
|
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looly/hutool
|
hutool-log/src/main/java/cn/hutool/log/GlobalLogFactory.java
|
GlobalLogFactory.set
|
public static LogFactory set(Class<? extends LogFactory> logFactoryClass) {
try {
return set(logFactoryClass.newInstance());
} catch (Exception e) {
throw new IllegalArgumentException("Can not instance LogFactory class!", e);
}
}
|
java
|
public static LogFactory set(Class<? extends LogFactory> logFactoryClass) {
try {
return set(logFactoryClass.newInstance());
} catch (Exception e) {
throw new IllegalArgumentException("Can not instance LogFactory class!", e);
}
}
|
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自定义日志实现
@see Slf4jLogFactory
@see Log4jLogFactory
@see Log4j2LogFactory
@see ApacheCommonsLogFactory
@see JdkLogFactory
@see ConsoleLogFactory
@param logFactoryClass 日志工厂类
@return 自定义的日志工厂类
|
[
"自定义日志实现"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-log/src/main/java/cn/hutool/log/GlobalLogFactory.java#L50-L56
|
train
|
Set the LogFactory instance with the given class.
|
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apache/flink
|
flink-clients/src/main/java/org/apache/flink/client/program/PackagedProgram.java
|
PackagedProgram.extractContainedLibraries
|
public static List<File> extractContainedLibraries(URL jarFile) throws ProgramInvocationException {
Random rnd = new Random();
JarFile jar = null;
try {
jar = new JarFile(new File(jarFile.toURI()));
final List<JarEntry> containedJarFileEntries = new ArrayList<JarEntry>();
Enumeration<JarEntry> entries = jar.entries();
while (entries.hasMoreElements()) {
JarEntry entry = entries.nextElement();
String name = entry.getName();
if (name.length() > 8 && name.startsWith("lib/") && name.endsWith(".jar")) {
containedJarFileEntries.add(entry);
}
}
if (containedJarFileEntries.isEmpty()) {
return Collections.emptyList();
}
else {
// go over all contained jar files
final List<File> extractedTempLibraries = new ArrayList<File>(containedJarFileEntries.size());
final byte[] buffer = new byte[4096];
boolean incomplete = true;
try {
for (int i = 0; i < containedJarFileEntries.size(); i++) {
final JarEntry entry = containedJarFileEntries.get(i);
String name = entry.getName();
// '/' as in case of zip, jar
// java.util.zip.ZipEntry#isDirectory always looks only for '/' not for File.separator
name = name.replace('/', '_');
File tempFile;
try {
tempFile = File.createTempFile(rnd.nextInt(Integer.MAX_VALUE) + "_", name);
tempFile.deleteOnExit();
}
catch (IOException e) {
throw new ProgramInvocationException(
"An I/O error occurred while creating temporary file to extract nested library '" +
entry.getName() + "'.", e);
}
extractedTempLibraries.add(tempFile);
// copy the temp file contents to a temporary File
OutputStream out = null;
InputStream in = null;
try {
out = new FileOutputStream(tempFile);
in = new BufferedInputStream(jar.getInputStream(entry));
int numRead = 0;
while ((numRead = in.read(buffer)) != -1) {
out.write(buffer, 0, numRead);
}
}
catch (IOException e) {
throw new ProgramInvocationException("An I/O error occurred while extracting nested library '"
+ entry.getName() + "' to temporary file '" + tempFile.getAbsolutePath() + "'.");
}
finally {
if (out != null) {
out.close();
}
if (in != null) {
in.close();
}
}
}
incomplete = false;
}
finally {
if (incomplete) {
deleteExtractedLibraries(extractedTempLibraries);
}
}
return extractedTempLibraries;
}
}
catch (Throwable t) {
throw new ProgramInvocationException("Unknown I/O error while extracting contained jar files.", t);
}
finally {
if (jar != null) {
try {
jar.close();
} catch (Throwable t) {}
}
}
}
|
java
|
public static List<File> extractContainedLibraries(URL jarFile) throws ProgramInvocationException {
Random rnd = new Random();
JarFile jar = null;
try {
jar = new JarFile(new File(jarFile.toURI()));
final List<JarEntry> containedJarFileEntries = new ArrayList<JarEntry>();
Enumeration<JarEntry> entries = jar.entries();
while (entries.hasMoreElements()) {
JarEntry entry = entries.nextElement();
String name = entry.getName();
if (name.length() > 8 && name.startsWith("lib/") && name.endsWith(".jar")) {
containedJarFileEntries.add(entry);
}
}
if (containedJarFileEntries.isEmpty()) {
return Collections.emptyList();
}
else {
// go over all contained jar files
final List<File> extractedTempLibraries = new ArrayList<File>(containedJarFileEntries.size());
final byte[] buffer = new byte[4096];
boolean incomplete = true;
try {
for (int i = 0; i < containedJarFileEntries.size(); i++) {
final JarEntry entry = containedJarFileEntries.get(i);
String name = entry.getName();
// '/' as in case of zip, jar
// java.util.zip.ZipEntry#isDirectory always looks only for '/' not for File.separator
name = name.replace('/', '_');
File tempFile;
try {
tempFile = File.createTempFile(rnd.nextInt(Integer.MAX_VALUE) + "_", name);
tempFile.deleteOnExit();
}
catch (IOException e) {
throw new ProgramInvocationException(
"An I/O error occurred while creating temporary file to extract nested library '" +
entry.getName() + "'.", e);
}
extractedTempLibraries.add(tempFile);
// copy the temp file contents to a temporary File
OutputStream out = null;
InputStream in = null;
try {
out = new FileOutputStream(tempFile);
in = new BufferedInputStream(jar.getInputStream(entry));
int numRead = 0;
while ((numRead = in.read(buffer)) != -1) {
out.write(buffer, 0, numRead);
}
}
catch (IOException e) {
throw new ProgramInvocationException("An I/O error occurred while extracting nested library '"
+ entry.getName() + "' to temporary file '" + tempFile.getAbsolutePath() + "'.");
}
finally {
if (out != null) {
out.close();
}
if (in != null) {
in.close();
}
}
}
incomplete = false;
}
finally {
if (incomplete) {
deleteExtractedLibraries(extractedTempLibraries);
}
}
return extractedTempLibraries;
}
}
catch (Throwable t) {
throw new ProgramInvocationException("Unknown I/O error while extracting contained jar files.", t);
}
finally {
if (jar != null) {
try {
jar.close();
} catch (Throwable t) {}
}
}
}
|
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] |
Takes all JAR files that are contained in this program's JAR file and extracts them
to the system's temp directory.
@return The file names of the extracted temporary files.
@throws ProgramInvocationException Thrown, if the extraction process failed.
|
[
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-clients/src/main/java/org/apache/flink/client/program/PackagedProgram.java#L666-L764
|
train
|
Extract the nested libraries from the given jar file.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/model/bigram/BigramDependencyModel.java
|
BigramDependencyModel.get
|
public static String get(String fromWord, String fromPos, String toWord, String toPos)
{
String dependency = get(fromWord + "@" + toWord);
if (dependency == null) dependency = get(fromWord + "@" + WordNatureWeightModelMaker.wrapTag(toPos));
if (dependency == null) dependency = get(WordNatureWeightModelMaker.wrapTag(fromPos) + "@" + toWord);
if (dependency == null) dependency = get(WordNatureWeightModelMaker.wrapTag(fromPos) + "@" + WordNatureWeightModelMaker.wrapTag(toPos));
if (dependency == null) dependency = "未知";
return dependency;
}
|
java
|
public static String get(String fromWord, String fromPos, String toWord, String toPos)
{
String dependency = get(fromWord + "@" + toWord);
if (dependency == null) dependency = get(fromWord + "@" + WordNatureWeightModelMaker.wrapTag(toPos));
if (dependency == null) dependency = get(WordNatureWeightModelMaker.wrapTag(fromPos) + "@" + toWord);
if (dependency == null) dependency = get(WordNatureWeightModelMaker.wrapTag(fromPos) + "@" + WordNatureWeightModelMaker.wrapTag(toPos));
if (dependency == null) dependency = "未知";
return dependency;
}
|
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获取一个词和另一个词最可能的依存关系
@param fromWord
@param fromPos
@param toWord
@param toPos
@return
|
[
"获取一个词和另一个词最可能的依存关系"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/model/bigram/BigramDependencyModel.java#L119-L128
|
train
|
Get the dependency from the two words.
|
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looly/hutool
|
hutool-db/src/main/java/cn/hutool/db/DaoTemplate.java
|
DaoTemplate.update
|
public int update(Entity record, Entity where) throws SQLException{
if (CollectionUtil.isEmpty(record)) {
return 0;
}
return db.update(fixEntity(record), where);
}
|
java
|
public int update(Entity record, Entity where) throws SQLException{
if (CollectionUtil.isEmpty(record)) {
return 0;
}
return db.update(fixEntity(record), where);
}
|
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按照条件更新
@param record 更新的内容
@param where 条件
@return 更新条目数
@throws SQLException SQL执行异常
|
[
"按照条件更新"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-db/src/main/java/cn/hutool/db/DaoTemplate.java#L168-L173
|
train
|
Updates an entity in the database.
|
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netty/netty
|
resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolver.java
|
DnsNameResolver.query
|
public Future<AddressedEnvelope<DnsResponse, InetSocketAddress>> query(DnsQuestion question) {
return query(nextNameServerAddress(), question);
}
|
java
|
public Future<AddressedEnvelope<DnsResponse, InetSocketAddress>> query(DnsQuestion question) {
return query(nextNameServerAddress(), question);
}
|
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Sends a DNS query with the specified question.
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/resolver-dns/src/main/java/io/netty/resolver/dns/DnsNameResolver.java#L1043-L1045
|
train
|
Query for a DNS question.
|
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30526
] |
apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/MutableHashTable.java
|
MutableHashTable.ensureNumBuffersReturned
|
final void ensureNumBuffersReturned(final int minRequiredAvailable) {
if (minRequiredAvailable > this.availableMemory.size() + this.writeBehindBuffersAvailable) {
throw new IllegalArgumentException("More buffers requested available than totally available.");
}
try {
while (this.availableMemory.size() < minRequiredAvailable) {
this.availableMemory.add(this.writeBehindBuffers.take());
this.writeBehindBuffersAvailable--;
}
}
catch (InterruptedException iex) {
throw new RuntimeException("Hash Join was interrupted.");
}
}
|
java
|
final void ensureNumBuffersReturned(final int minRequiredAvailable) {
if (minRequiredAvailable > this.availableMemory.size() + this.writeBehindBuffersAvailable) {
throw new IllegalArgumentException("More buffers requested available than totally available.");
}
try {
while (this.availableMemory.size() < minRequiredAvailable) {
this.availableMemory.add(this.writeBehindBuffers.take());
this.writeBehindBuffersAvailable--;
}
}
catch (InterruptedException iex) {
throw new RuntimeException("Hash Join was interrupted.");
}
}
|
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This method makes sure that at least a certain number of memory segments is in the list of free segments.
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@param minRequiredAvailable The minimum number of buffers that needs to be reclaimed.
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/operators/hash/MutableHashTable.java#L1331-L1345
|
train
|
Ensure that the number of buffers returned by the Hash Join has been requested.
|
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30526
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apache/flink
|
flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/slotpool/SchedulerImpl.java
|
SchedulerImpl.allocateSingleSlot
|
private CompletableFuture<LogicalSlot> allocateSingleSlot(
SlotRequestId slotRequestId,
SlotProfile slotProfile,
boolean allowQueuedScheduling,
Time allocationTimeout) {
Optional<SlotAndLocality> slotAndLocality = tryAllocateFromAvailable(slotRequestId, slotProfile);
if (slotAndLocality.isPresent()) {
// already successful from available
try {
return CompletableFuture.completedFuture(
completeAllocationByAssigningPayload(slotRequestId, slotAndLocality.get()));
} catch (FlinkException e) {
return FutureUtils.completedExceptionally(e);
}
} else if (allowQueuedScheduling) {
// we allocate by requesting a new slot
return slotPool
.requestNewAllocatedSlot(slotRequestId, slotProfile.getResourceProfile(), allocationTimeout)
.thenApply((PhysicalSlot allocatedSlot) -> {
try {
return completeAllocationByAssigningPayload(slotRequestId, new SlotAndLocality(allocatedSlot, Locality.UNKNOWN));
} catch (FlinkException e) {
throw new CompletionException(e);
}
});
} else {
// failed to allocate
return FutureUtils.completedExceptionally(
new NoResourceAvailableException("Could not allocate a simple slot for " + slotRequestId + '.'));
}
}
|
java
|
private CompletableFuture<LogicalSlot> allocateSingleSlot(
SlotRequestId slotRequestId,
SlotProfile slotProfile,
boolean allowQueuedScheduling,
Time allocationTimeout) {
Optional<SlotAndLocality> slotAndLocality = tryAllocateFromAvailable(slotRequestId, slotProfile);
if (slotAndLocality.isPresent()) {
// already successful from available
try {
return CompletableFuture.completedFuture(
completeAllocationByAssigningPayload(slotRequestId, slotAndLocality.get()));
} catch (FlinkException e) {
return FutureUtils.completedExceptionally(e);
}
} else if (allowQueuedScheduling) {
// we allocate by requesting a new slot
return slotPool
.requestNewAllocatedSlot(slotRequestId, slotProfile.getResourceProfile(), allocationTimeout)
.thenApply((PhysicalSlot allocatedSlot) -> {
try {
return completeAllocationByAssigningPayload(slotRequestId, new SlotAndLocality(allocatedSlot, Locality.UNKNOWN));
} catch (FlinkException e) {
throw new CompletionException(e);
}
});
} else {
// failed to allocate
return FutureUtils.completedExceptionally(
new NoResourceAvailableException("Could not allocate a simple slot for " + slotRequestId + '.'));
}
}
|
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] |
---------------------------
|
[
"---------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-runtime/src/main/java/org/apache/flink/runtime/jobmaster/slotpool/SchedulerImpl.java#L164-L196
|
train
|
Allocate a single logical slot.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java
|
ArrayUtil.append
|
@SafeVarargs
public static <T> Object append(Object array, T... newElements) {
if(isEmpty(array)) {
return newElements;
}
return insert(array, length(array), newElements);
}
|
java
|
@SafeVarargs
public static <T> Object append(Object array, T... newElements) {
if(isEmpty(array)) {
return newElements;
}
return insert(array, length(array), newElements);
}
|
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] |
将新元素添加到已有数组中<br>
添加新元素会生成一个新的数组，不影响原数组
@param <T> 数组元素类型
@param array 已有数组
@param newElements 新元素
@return 新数组
|
[
"将新元素添加到已有数组中<br",
">",
"添加新元素会生成一个新的数组，不影响原数组"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/util/ArrayUtil.java#L399-L405
|
train
|
Append the elements to the end of the array.
|
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hankcs/HanLP
|
src/main/java/com/hankcs/hanlp/collection/dartsclone/details/AutoBytePool.java
|
AutoBytePool.resize
|
void resize(int size, byte value)
{
if (size > _capacity)
{
resizeBuf(size);
}
while (_size < size)
{
_buf[_size++] = value;
}
}
|
java
|
void resize(int size, byte value)
{
if (size > _capacity)
{
resizeBuf(size);
}
while (_size < size)
{
_buf[_size++] = value;
}
}
|
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重设大小，并且在末尾加一个值
@param size 大小
@param value 值
|
[
"重设大小，并且在末尾加一个值"
] |
a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce
|
https://github.com/hankcs/HanLP/blob/a538d0722ab2e4980a9dcd9ea40324fc3ddba7ce/src/main/java/com/hankcs/hanlp/collection/dartsclone/details/AutoBytePool.java#L112-L122
|
train
|
Resize the buffer to a given size.
|
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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.runScatterGatherIteration
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public <M> Graph<K, VV, EV> runScatterGatherIteration(
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iteration.configure(parameters);
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return new Graph<>(newVertices, this.edges, this.context);
}
|
java
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public <M> Graph<K, VV, EV> runScatterGatherIteration(
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org.apache.flink.graph.spargel.GatherFunction<K, VV, M> gatherFunction,
int maximumNumberOfIterations, ScatterGatherConfiguration parameters) {
ScatterGatherIteration<K, VV, M, EV> iteration = ScatterGatherIteration.withEdges(
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iteration.configure(parameters);
DataSet<Vertex<K, VV>> newVertices = this.getVertices().runOperation(iteration);
return new Graph<>(newVertices, this.edges, this.context);
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/Graph.java#L1750-L1763
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train
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Runs a ScatterGather iteration on the graph.
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] |
netty/netty
|
transport/src/main/java/io/netty/channel/ChannelOutboundBuffer.java
|
ChannelOutboundBuffer.remove
|
public boolean remove() {
Entry e = flushedEntry;
if (e == null) {
clearNioBuffers();
return false;
}
Object msg = e.msg;
ChannelPromise promise = e.promise;
int size = e.pendingSize;
removeEntry(e);
if (!e.cancelled) {
// only release message, notify and decrement if it was not canceled before.
ReferenceCountUtil.safeRelease(msg);
safeSuccess(promise);
decrementPendingOutboundBytes(size, false, true);
}
// recycle the entry
e.recycle();
return true;
}
|
java
|
public boolean remove() {
Entry e = flushedEntry;
if (e == null) {
clearNioBuffers();
return false;
}
Object msg = e.msg;
ChannelPromise promise = e.promise;
int size = e.pendingSize;
removeEntry(e);
if (!e.cancelled) {
// only release message, notify and decrement if it was not canceled before.
ReferenceCountUtil.safeRelease(msg);
safeSuccess(promise);
decrementPendingOutboundBytes(size, false, true);
}
// recycle the entry
e.recycle();
return true;
}
|
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Will remove the current message, mark its {@link ChannelPromise} as success and return {@code true}. If no
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messages are ready to be handled.
|
[
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] |
ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/transport/src/main/java/io/netty/channel/ChannelOutboundBuffer.java#L254-L278
|
train
|
Removes the entry from the cache.
|
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apache/flink
|
flink-streaming-java/src/main/java/org/apache/flink/streaming/experimental/SocketStreamIterator.java
|
SocketStreamIterator.notifyOfError
|
public void notifyOfError(Throwable error) {
if (error != null && this.error == null) {
this.error = error;
// this should wake up any blocking calls
try {
connectedSocket.close();
} catch (Throwable ignored) {}
try {
socket.close();
} catch (Throwable ignored) {}
}
}
|
java
|
public void notifyOfError(Throwable error) {
if (error != null && this.error == null) {
this.error = error;
// this should wake up any blocking calls
try {
connectedSocket.close();
} catch (Throwable ignored) {}
try {
socket.close();
} catch (Throwable ignored) {}
}
}
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------------------------------------------------------------------------
|
[
"------------------------------------------------------------------------"
] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-streaming-java/src/main/java/org/apache/flink/streaming/experimental/SocketStreamIterator.java#L199-L211
|
train
|
Notifies the server that an error has occurred.
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30526
] |
apache/flink
|
flink-core/src/main/java/org/apache/flink/types/Record.java
|
Record.makeSpace
|
public void makeSpace(int numFields) {
final int oldNumFields = this.numFields;
// increase the number of fields in the arrays
if (this.offsets == null) {
this.offsets = new int[numFields];
}
else if (this.offsets.length < numFields) {
int[] newOffs = new int[Math.max(numFields + 1, oldNumFields << 1)];
System.arraycopy(this.offsets, 0, newOffs, 0, oldNumFields);
this.offsets = newOffs;
}
if (this.lengths == null) {
this.lengths = new int[numFields];
}
else if (this.lengths.length < numFields) {
int[] newLens = new int[Math.max(numFields + 1, oldNumFields << 1)];
System.arraycopy(this.lengths, 0, newLens, 0, oldNumFields);
this.lengths = newLens;
}
if (this.readFields == null) {
this.readFields = new Value[numFields];
}
else if (this.readFields.length < numFields) {
Value[] newFields = new Value[Math.max(numFields + 1, oldNumFields << 1)];
System.arraycopy(this.readFields, 0, newFields, 0, oldNumFields);
this.readFields = newFields;
}
if (this.writeFields == null) {
this.writeFields = new Value[numFields];
}
else if (this.writeFields.length < numFields) {
Value[] newFields = new Value[Math.max(numFields + 1, oldNumFields << 1)];
System.arraycopy(this.writeFields, 0, newFields, 0, oldNumFields);
this.writeFields = newFields;
}
}
|
java
|
public void makeSpace(int numFields) {
final int oldNumFields = this.numFields;
// increase the number of fields in the arrays
if (this.offsets == null) {
this.offsets = new int[numFields];
}
else if (this.offsets.length < numFields) {
int[] newOffs = new int[Math.max(numFields + 1, oldNumFields << 1)];
System.arraycopy(this.offsets, 0, newOffs, 0, oldNumFields);
this.offsets = newOffs;
}
if (this.lengths == null) {
this.lengths = new int[numFields];
}
else if (this.lengths.length < numFields) {
int[] newLens = new int[Math.max(numFields + 1, oldNumFields << 1)];
System.arraycopy(this.lengths, 0, newLens, 0, oldNumFields);
this.lengths = newLens;
}
if (this.readFields == null) {
this.readFields = new Value[numFields];
}
else if (this.readFields.length < numFields) {
Value[] newFields = new Value[Math.max(numFields + 1, oldNumFields << 1)];
System.arraycopy(this.readFields, 0, newFields, 0, oldNumFields);
this.readFields = newFields;
}
if (this.writeFields == null) {
this.writeFields = new Value[numFields];
}
else if (this.writeFields.length < numFields) {
Value[] newFields = new Value[Math.max(numFields + 1, oldNumFields << 1)];
System.arraycopy(this.writeFields, 0, newFields, 0, oldNumFields);
this.writeFields = newFields;
}
}
|
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] |
Reserves space for at least the given number of fields in the internal arrays.
@param numFields The number of fields to reserve space for.
|
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] |
b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
|
https://github.com/apache/flink/blob/b62db93bf63cb3bb34dd03d611a779d9e3fc61ac/flink-core/src/main/java/org/apache/flink/types/Record.java#L168-L206
|
train
|
Make space for the given number of fields.
|
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apache/spark
|
examples/src/main/java/org/apache/spark/examples/streaming/JavaCustomReceiver.java
|
JavaCustomReceiver.receive
|
private void receive() {
try {
Socket socket = null;
BufferedReader reader = null;
try {
// connect to the server
socket = new Socket(host, port);
reader = new BufferedReader(
new InputStreamReader(socket.getInputStream(), StandardCharsets.UTF_8));
// Until stopped or connection broken continue reading
String userInput;
while (!isStopped() && (userInput = reader.readLine()) != null) {
System.out.println("Received data '" + userInput + "'");
store(userInput);
}
} finally {
Closeables.close(reader, /* swallowIOException = */ true);
Closeables.close(socket, /* swallowIOException = */ true);
}
// Restart in an attempt to connect again when server is active again
restart("Trying to connect again");
} catch(ConnectException ce) {
// restart if could not connect to server
restart("Could not connect", ce);
} catch(Throwable t) {
restart("Error receiving data", t);
}
}
|
java
|
private void receive() {
try {
Socket socket = null;
BufferedReader reader = null;
try {
// connect to the server
socket = new Socket(host, port);
reader = new BufferedReader(
new InputStreamReader(socket.getInputStream(), StandardCharsets.UTF_8));
// Until stopped or connection broken continue reading
String userInput;
while (!isStopped() && (userInput = reader.readLine()) != null) {
System.out.println("Received data '" + userInput + "'");
store(userInput);
}
} finally {
Closeables.close(reader, /* swallowIOException = */ true);
Closeables.close(socket, /* swallowIOException = */ true);
}
// Restart in an attempt to connect again when server is active again
restart("Trying to connect again");
} catch(ConnectException ce) {
// restart if could not connect to server
restart("Could not connect", ce);
} catch(Throwable t) {
restart("Error receiving data", t);
}
}
|
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] |
Create a socket connection and receive data until receiver is stopped
|
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25ee0474f47d9c30d6f553a7892d9549f91071cf
|
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/examples/src/main/java/org/apache/spark/examples/streaming/JavaCustomReceiver.java#L106-L133
|
train
|
Receives data from the server.
|
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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/sql/dml/delete/DeleteParserFactory.java
|
DeleteParserFactory.newInstance
|
public static AbstractDeleteParser newInstance(final DatabaseType dbType, final ShardingRule shardingRule, final LexerEngine lexerEngine) {
switch (dbType) {
case H2:
case MySQL:
return new MySQLDeleteParser(shardingRule, lexerEngine);
case Oracle:
return new OracleDeleteParser(shardingRule, lexerEngine);
case SQLServer:
return new SQLServerDeleteParser(shardingRule, lexerEngine);
case PostgreSQL:
return new PostgreSQLDeleteParser(shardingRule, lexerEngine);
default:
throw new UnsupportedOperationException(String.format("Cannot support database [%s].", dbType));
}
}
|
java
|
public static AbstractDeleteParser newInstance(final DatabaseType dbType, final ShardingRule shardingRule, final LexerEngine lexerEngine) {
switch (dbType) {
case H2:
case MySQL:
return new MySQLDeleteParser(shardingRule, lexerEngine);
case Oracle:
return new OracleDeleteParser(shardingRule, lexerEngine);
case SQLServer:
return new SQLServerDeleteParser(shardingRule, lexerEngine);
case PostgreSQL:
return new PostgreSQLDeleteParser(shardingRule, lexerEngine);
default:
throw new UnsupportedOperationException(String.format("Cannot support database [%s].", dbType));
}
}
|
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Create delete parser instance.
@param dbType database type
@param shardingRule databases and tables sharding rule
@param lexerEngine lexical analysis engine.
@return delete parser instance
|
[
"Create",
"delete",
"parser",
"instance",
"."
] |
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/sql/dml/delete/DeleteParserFactory.java#L46-L60
|
train
|
Create delete parser instance.
|
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30526
] |
looly/hutool
|
hutool-poi/src/main/java/cn/hutool/poi/excel/sax/Excel03SaxReader.java
|
Excel03SaxReader.processCellValue
|
private void processCellValue(Record record) {
Object value = null;
switch (record.getSid()) {
case BlankRecord.sid:
// 空白记录
BlankRecord brec = (BlankRecord) record;
rowCellList.add(brec.getColumn(), StrUtil.EMPTY);
break;
case BoolErrRecord.sid: // 布尔类型
BoolErrRecord berec = (BoolErrRecord) record;
rowCellList.add(berec.getColumn(), berec.getBooleanValue());
break;
case FormulaRecord.sid: // 公式类型
FormulaRecord frec = (FormulaRecord) record;
if (isOutputFormulaValues) {
if (Double.isNaN(frec.getValue())) {
// Formula result is a string
// This is stored in the next record
isOutputNextStringRecord = true;
} else {
value = formatListener.formatNumberDateCell(frec);
}
} else {
value = '"' + HSSFFormulaParser.toFormulaString(stubWorkbook, frec.getParsedExpression()) + '"';
}
rowCellList.add(frec.getColumn(), value);
break;
case StringRecord.sid:// 单元格中公式的字符串
if (isOutputNextStringRecord) {
// String for formula
StringRecord srec = (StringRecord) record;
value = srec.getString();
isOutputNextStringRecord = false;
}
break;
case LabelRecord.sid:
LabelRecord lrec = (LabelRecord) record;
this.rowCellList.add(lrec.getColumn(), value);
break;
case LabelSSTRecord.sid: // 字符串类型
LabelSSTRecord lsrec = (LabelSSTRecord) record;
if (sstRecord == null) {
rowCellList.add(lsrec.getColumn(), StrUtil.EMPTY);
} else {
value = sstRecord.getString(lsrec.getSSTIndex()).toString();
rowCellList.add(lsrec.getColumn(), value);
}
break;
case NumberRecord.sid: // 数字类型
NumberRecord numrec = (NumberRecord) record;
final String formatString = formatListener.getFormatString(numrec);
if(formatString.contains(StrUtil.DOT)) {
//浮点数
value = numrec.getValue();
}else if(formatString.contains(StrUtil.SLASH) || formatString.contains(StrUtil.COLON)) {
//日期
value = formatListener.formatNumberDateCell(numrec);
}else {
double numValue = numrec.getValue();
final long longPart = (long) numValue;
// 对于无小数部分的数字类型，转为Long，否则保留原数字
value = (longPart == numValue) ? longPart : numValue;
}
// 向容器加入列值
rowCellList.add(numrec.getColumn(), value);
break;
default:
break;
}
}
|
java
|
private void processCellValue(Record record) {
Object value = null;
switch (record.getSid()) {
case BlankRecord.sid:
// 空白记录
BlankRecord brec = (BlankRecord) record;
rowCellList.add(brec.getColumn(), StrUtil.EMPTY);
break;
case BoolErrRecord.sid: // 布尔类型
BoolErrRecord berec = (BoolErrRecord) record;
rowCellList.add(berec.getColumn(), berec.getBooleanValue());
break;
case FormulaRecord.sid: // 公式类型
FormulaRecord frec = (FormulaRecord) record;
if (isOutputFormulaValues) {
if (Double.isNaN(frec.getValue())) {
// Formula result is a string
// This is stored in the next record
isOutputNextStringRecord = true;
} else {
value = formatListener.formatNumberDateCell(frec);
}
} else {
value = '"' + HSSFFormulaParser.toFormulaString(stubWorkbook, frec.getParsedExpression()) + '"';
}
rowCellList.add(frec.getColumn(), value);
break;
case StringRecord.sid:// 单元格中公式的字符串
if (isOutputNextStringRecord) {
// String for formula
StringRecord srec = (StringRecord) record;
value = srec.getString();
isOutputNextStringRecord = false;
}
break;
case LabelRecord.sid:
LabelRecord lrec = (LabelRecord) record;
this.rowCellList.add(lrec.getColumn(), value);
break;
case LabelSSTRecord.sid: // 字符串类型
LabelSSTRecord lsrec = (LabelSSTRecord) record;
if (sstRecord == null) {
rowCellList.add(lsrec.getColumn(), StrUtil.EMPTY);
} else {
value = sstRecord.getString(lsrec.getSSTIndex()).toString();
rowCellList.add(lsrec.getColumn(), value);
}
break;
case NumberRecord.sid: // 数字类型
NumberRecord numrec = (NumberRecord) record;
final String formatString = formatListener.getFormatString(numrec);
if(formatString.contains(StrUtil.DOT)) {
//浮点数
value = numrec.getValue();
}else if(formatString.contains(StrUtil.SLASH) || formatString.contains(StrUtil.COLON)) {
//日期
value = formatListener.formatNumberDateCell(numrec);
}else {
double numValue = numrec.getValue();
final long longPart = (long) numValue;
// 对于无小数部分的数字类型，转为Long，否则保留原数字
value = (longPart == numValue) ? longPart : numValue;
}
// 向容器加入列值
rowCellList.add(numrec.getColumn(), value);
break;
default:
break;
}
}
|
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"}"
] |
处理单元格值
@param record 单元格
|
[
"处理单元格值"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-poi/src/main/java/cn/hutool/poi/excel/sax/Excel03SaxReader.java#L200-L272
|
train
|
Process a cell value.
|
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networknt/light-4j
|
utility/src/main/java/com/networknt/utility/NioUtils.java
|
NioUtils.toByteBuffer
|
public static ByteBuffer toByteBuffer(File file) {
ByteBuffer buffer = ByteBuffer.allocateDirect((int) file.length());
try {
buffer.put(toByteArray(new FileInputStream(file)));
} catch (IOException e) {
logger.error("Failed to write file to byte array: " + e.getMessage());
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buffer.flip();
return buffer;
}
|
java
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public static ByteBuffer toByteBuffer(File file) {
ByteBuffer buffer = ByteBuffer.allocateDirect((int) file.length());
try {
buffer.put(toByteArray(new FileInputStream(file)));
} catch (IOException e) {
logger.error("Failed to write file to byte array: " + e.getMessage());
}
buffer.flip();
return buffer;
}
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
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train
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Convert a file to a byte array.
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netty/netty
|
codec-http2/src/main/java/io/netty/handler/codec/http2/Http2CodecUtil.java
|
Http2CodecUtil.getEmbeddedHttp2Exception
|
public static Http2Exception getEmbeddedHttp2Exception(Throwable cause) {
while (cause != null) {
if (cause instanceof Http2Exception) {
return (Http2Exception) cause;
}
cause = cause.getCause();
}
return null;
}
|
java
|
public static Http2Exception getEmbeddedHttp2Exception(Throwable cause) {
while (cause != null) {
if (cause instanceof Http2Exception) {
return (Http2Exception) cause;
}
cause = cause.getCause();
}
return null;
}
|
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Iteratively looks through the causality chain for the given exception and returns the first
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ba06eafa1c1824bd154f1a380019e7ea2edf3c4c
|
https://github.com/netty/netty/blob/ba06eafa1c1824bd154f1a380019e7ea2edf3c4c/codec-http2/src/main/java/io/netty/handler/codec/http2/Http2CodecUtil.java#L173-L181
|
train
|
Gets the embedded Http2Exception from a Throwable.
|
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alibaba/canal
|
dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java
|
LogBuffer.getBeUint24
|
public final int getBeUint24(final int pos) {
final int position = origin + pos;
if (pos + 2 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 2)));
byte[] buf = buffer;
return (0xff & buf[position + 2]) | ((0xff & buf[position + 1]) << 8) | ((0xff & buf[position]) << 16);
}
|
java
|
public final int getBeUint24(final int pos) {
final int position = origin + pos;
if (pos + 2 >= limit || pos < 0) throw new IllegalArgumentException("limit excceed: "
+ (pos < 0 ? pos : (pos + 2)));
byte[] buf = buffer;
return (0xff & buf[position + 2]) | ((0xff & buf[position + 1]) << 8) | ((0xff & buf[position]) << 16);
}
|
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"(",
"0xff",
"&",
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Return 24-bit unsigned int from buffer. (big-endian)
@see mysql-5.6.10/include/myisampack.h - mi_usint3korr
|
[
"Return",
"24",
"-",
"bit",
"unsigned",
"int",
"from",
"buffer",
".",
"(",
"big",
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] |
8f088cddc0755f4350c5aaae95c6e4002d90a40f
|
https://github.com/alibaba/canal/blob/8f088cddc0755f4350c5aaae95c6e4002d90a40f/dbsync/src/main/java/com/taobao/tddl/dbsync/binlog/LogBuffer.java#L441-L449
|
train
|
Gets a 8 - bit unsigned integer from the buffer.
|
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looly/hutool
|
hutool-core/src/main/java/cn/hutool/core/thread/ThreadUtil.java
|
ThreadUtil.newExecutor
|
public static ThreadPoolExecutor newExecutor(int corePoolSize, int maximumPoolSize) {
return ExecutorBuilder.create().setCorePoolSize(corePoolSize).setMaxPoolSize(maximumPoolSize).build();
}
|
java
|
public static ThreadPoolExecutor newExecutor(int corePoolSize, int maximumPoolSize) {
return ExecutorBuilder.create().setCorePoolSize(corePoolSize).setMaxPoolSize(maximumPoolSize).build();
}
|
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获得一个新的线程池<br>
如果maximumPoolSize =》 corePoolSize，在没有新任务加入的情况下，多出的线程将最多保留60s
@param corePoolSize 初始线程池大小
@param maximumPoolSize 最大线程池大小
@return {@link ThreadPoolExecutor}
|
[
"获得一个新的线程池<br",
">",
"如果maximumPoolSize",
"=",
"》",
"corePoolSize，在没有新任务加入的情况下，多出的线程将最多保留60s"
] |
bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a
|
https://github.com/looly/hutool/blob/bbd74eda4c7e8a81fe7a991fa6c2276eec062e6a/hutool-core/src/main/java/cn/hutool/core/thread/ThreadUtil.java#L59-L61
|
train
|
Creates a new ThreadPoolExecutor with the specified parameters.
|
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30526
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networknt/light-4j
|
consul/src/main/java/com/networknt/consul/ConsulRegistry.java
|
ConsulRegistry.startListenerThreadIfNewService
|
private void startListenerThreadIfNewService(URL url) {
String serviceName = url.getPath();
if (!lookupServices.containsKey(serviceName)) {
Long value = lookupServices.putIfAbsent(serviceName, 0L);
if (value == null) {
ServiceLookupThread lookupThread = new ServiceLookupThread(serviceName);
lookupThread.setDaemon(true);
lookupThread.start();
}
}
}
|
java
|
private void startListenerThreadIfNewService(URL url) {
String serviceName = url.getPath();
if (!lookupServices.containsKey(serviceName)) {
Long value = lookupServices.putIfAbsent(serviceName, 0L);
if (value == null) {
ServiceLookupThread lookupThread = new ServiceLookupThread(serviceName);
lookupThread.setDaemon(true);
lookupThread.start();
}
}
}
|
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if new service registered, start a new lookup thread
each serviceName start a lookup thread to discover service
@param url
|
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2a60257c60663684c8f6dc8b5ea3cf184e534db6
|
https://github.com/networknt/light-4j/blob/2a60257c60663684c8f6dc8b5ea3cf184e534db6/consul/src/main/java/com/networknt/consul/ConsulRegistry.java#L118-L128
|
train
|
Start listener thread if new service.
|
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flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/api/environment/PythonStreamExecutionEnvironment.java
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PythonStreamExecutionEnvironment.read_text_file
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public PythonDataStream read_text_file(String path) throws IOException {
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java
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public PythonDataStream read_text_file(String path) throws IOException {
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b62db93bf63cb3bb34dd03d611a779d9e3fc61ac
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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 cc, String bcc, String subject, String content, boolean isHtml, File... files) {
send(splitAddress(to), splitAddress(cc), splitAddress(bcc), subject, content, isHtml, files);
}
|
java
|
public static void send(String to, String cc, String bcc, String subject, String content, boolean isHtml, File... files) {
send(splitAddress(to), splitAddress(cc), splitAddress(bcc), 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、抄送人、密送人可以使用逗号“,”分隔，也可以通过分号“;”分隔
@param to 收件人，可以使用逗号“,”分隔，也可以通过分号“;”分隔
@param cc 抄送人，可以使用逗号“,”分隔，也可以通过分号“;”分隔
@param bcc 密送人，可以使用逗号“,”分隔，也可以通过分号“;”分隔
@param subject 标题
@param content 正文
@param isHtml 是否为HTML
@param files 附件列表
@since 4.0.3
|
[
"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、抄送人、密送人可以使用逗号“",
"”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#L73-L75
|
train
|
Sends a message to the specified recipients using the specified content.
|
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