本文整理了Java中org.apache.flink.streaming.api.datastream.AllWindowedStream.getInputType()
方法的一些代码示例,展示了AllWindowedStream.getInputType()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。AllWindowedStream.getInputType()
方法的具体详情如下:
包路径:org.apache.flink.streaming.api.datastream.AllWindowedStream
类名称:AllWindowedStream
方法名:getInputType
暂无
代码示例来源:origin: apache/flink
/**
* Applies the given window function to each window. The window function is called for each
* evaluation of the window. The output of the window function is
* interpreted as a regular non-windowed stream.
*
* <p>Not that this function requires that all data in the windows is buffered until the window
* is evaluated, as the function provides no means of incremental aggregation.
*
* @param function The window function.
* @return The data stream that is the result of applying the window function to the window.
*/
public <R> SingleOutputStreamOperator<R> apply(AllWindowFunction<T, R, W> function) {
String callLocation = Utils.getCallLocationName();
function = input.getExecutionEnvironment().clean(function);
TypeInformation<R> resultType = getAllWindowFunctionReturnType(function, getInputType());
return apply(new InternalIterableAllWindowFunction<>(function), resultType, callLocation);
}
代码示例来源:origin: apache/flink
/**
* Applies the given window function to each window. The window function is called for each
* evaluation of the window. The output of the window function is
* interpreted as a regular non-windowed stream.
*
* <p>Not that this function requires that all data in the windows is buffered until the window
* is evaluated, as the function provides no means of incremental aggregation.
*
* @param function The process window function.
* @return The data stream that is the result of applying the window function to the window.
*/
@PublicEvolving
public <R> SingleOutputStreamOperator<R> process(ProcessAllWindowFunction<T, R, W> function) {
String callLocation = Utils.getCallLocationName();
function = input.getExecutionEnvironment().clean(function);
TypeInformation<R> resultType = getProcessAllWindowFunctionReturnType(function, getInputType());
return apply(new InternalIterableProcessAllWindowFunction<>(function), resultType, callLocation);
}
代码示例来源:origin: org.apache.flink/flink-streaming-java
/**
* Applies the given window function to each window. The window function is called for each
* evaluation of the window. The output of the window function is
* interpreted as a regular non-windowed stream.
*
* <p>Not that this function requires that all data in the windows is buffered until the window
* is evaluated, as the function provides no means of incremental aggregation.
*
* @param function The window function.
* @return The data stream that is the result of applying the window function to the window.
*/
public <R> SingleOutputStreamOperator<R> apply(AllWindowFunction<T, R, W> function) {
String callLocation = Utils.getCallLocationName();
function = input.getExecutionEnvironment().clean(function);
TypeInformation<R> resultType = getAllWindowFunctionReturnType(function, getInputType());
return apply(new InternalIterableAllWindowFunction<>(function), resultType, callLocation);
}
代码示例来源:origin: org.apache.flink/flink-streaming-java_2.11
/**
* Applies the given window function to each window. The window function is called for each
* evaluation of the window. The output of the window function is
* interpreted as a regular non-windowed stream.
*
* <p>Not that this function requires that all data in the windows is buffered until the window
* is evaluated, as the function provides no means of incremental aggregation.
*
* @param function The window function.
* @return The data stream that is the result of applying the window function to the window.
*/
public <R> SingleOutputStreamOperator<R> apply(AllWindowFunction<T, R, W> function) {
String callLocation = Utils.getCallLocationName();
function = input.getExecutionEnvironment().clean(function);
TypeInformation<R> resultType = getAllWindowFunctionReturnType(function, getInputType());
return apply(new InternalIterableAllWindowFunction<>(function), resultType, callLocation);
}
代码示例来源:origin: org.apache.flink/flink-streaming-java_2.10
/**
* Applies the given window function to each window. The window function is called for each
* evaluation of the window. The output of the window function is
* interpreted as a regular non-windowed stream.
*
* <p>Not that this function requires that all data in the windows is buffered until the window
* is evaluated, as the function provides no means of incremental aggregation.
*
* @param function The window function.
* @return The data stream that is the result of applying the window function to the window.
*/
public <R> SingleOutputStreamOperator<R> apply(AllWindowFunction<T, R, W> function) {
String callLocation = Utils.getCallLocationName();
function = input.getExecutionEnvironment().clean(function);
TypeInformation<R> resultType = getAllWindowFunctionReturnType(function, getInputType());
return apply(new InternalIterableAllWindowFunction<>(function), resultType, callLocation);
}
代码示例来源:origin: org.apache.flink/flink-streaming-java_2.11
/**
* Applies the given window function to each window. The window function is called for each
* evaluation of the window. The output of the window function is
* interpreted as a regular non-windowed stream.
*
* <p>Not that this function requires that all data in the windows is buffered until the window
* is evaluated, as the function provides no means of incremental aggregation.
*
* @param function The process window function.
* @return The data stream that is the result of applying the window function to the window.
*/
@PublicEvolving
public <R> SingleOutputStreamOperator<R> process(ProcessAllWindowFunction<T, R, W> function) {
String callLocation = Utils.getCallLocationName();
function = input.getExecutionEnvironment().clean(function);
TypeInformation<R> resultType = getProcessAllWindowFunctionReturnType(function, getInputType());
return apply(new InternalIterableProcessAllWindowFunction<>(function), resultType, callLocation);
}
代码示例来源:origin: org.apache.flink/flink-streaming-java
/**
* Applies the given window function to each window. The window function is called for each
* evaluation of the window. The output of the window function is
* interpreted as a regular non-windowed stream.
*
* <p>Not that this function requires that all data in the windows is buffered until the window
* is evaluated, as the function provides no means of incremental aggregation.
*
* @param function The process window function.
* @return The data stream that is the result of applying the window function to the window.
*/
@PublicEvolving
public <R> SingleOutputStreamOperator<R> process(ProcessAllWindowFunction<T, R, W> function) {
String callLocation = Utils.getCallLocationName();
function = input.getExecutionEnvironment().clean(function);
TypeInformation<R> resultType = getProcessAllWindowFunctionReturnType(function, getInputType());
return apply(new InternalIterableProcessAllWindowFunction<>(function), resultType, callLocation);
}
代码示例来源:origin: org.apache.flink/flink-streaming-java_2.10
/**
* Applies the given window function to each window. The window function is called for each
* evaluation of the window. The output of the window function is
* interpreted as a regular non-windowed stream.
*
* <p>Not that this function requires that all data in the windows is buffered until the window
* is evaluated, as the function provides no means of incremental aggregation.
*
* @param function The process window function.
* @return The data stream that is the result of applying the window function to the window.
*/
@PublicEvolving
public <R> SingleOutputStreamOperator<R> process(ProcessAllWindowFunction<T, R, W> function) {
String callLocation = Utils.getCallLocationName();
function = input.getExecutionEnvironment().clean(function);
TypeInformation<R> resultType = getProcessAllWindowFunctionReturnType(function, getInputType());
return apply(new InternalIterableProcessAllWindowFunction<>(function), resultType, callLocation);
}
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