org.apache.flink.streaming.runtime.operators.windowing.functions.InternalIterableProcessAllWindowFunction Java Examples
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org.apache.flink.streaming.runtime.operators.windowing.functions.InternalIterableProcessAllWindowFunction.
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Example #1
Source File: InternalWindowFunctionTest.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
@SuppressWarnings("unchecked") @Test public void testInternalIterableProcessAllWindowFunction() throws Exception { ProcessAllWindowFunctionMock mock = mock(ProcessAllWindowFunctionMock.class); InternalIterableProcessAllWindowFunction<Long, String, TimeWindow> windowFunction = new InternalIterableProcessAllWindowFunction<>(mock); // check setOutputType TypeInformation<String> stringType = BasicTypeInfo.STRING_TYPE_INFO; ExecutionConfig execConf = new ExecutionConfig(); execConf.setParallelism(42); StreamingFunctionUtils.setOutputType(windowFunction, stringType, execConf); verify(mock).setOutputType(stringType, execConf); // check open Configuration config = new Configuration(); windowFunction.open(config); verify(mock).open(config); // check setRuntimeContext RuntimeContext rCtx = mock(RuntimeContext.class); windowFunction.setRuntimeContext(rCtx); verify(mock).setRuntimeContext(rCtx); // check apply TimeWindow w = mock(TimeWindow.class); Iterable<Long> i = (Iterable<Long>) mock(Iterable.class); Collector<String> c = (Collector<String>) mock(Collector.class); InternalWindowFunction.InternalWindowContext ctx = mock(InternalWindowFunction.InternalWindowContext.class); windowFunction.process(((byte) 0), w, ctx, i, c); verify(mock).process((ProcessAllWindowFunctionMock.Context) anyObject(), eq(i), eq(c)); // check close windowFunction.close(); verify(mock).close(); }
Example #2
Source File: InternalWindowFunctionTest.java From flink with Apache License 2.0 | 4 votes |
@SuppressWarnings("unchecked") @Test public void testInternalIterableProcessAllWindowFunction() throws Exception { ProcessAllWindowFunctionMock mock = mock(ProcessAllWindowFunctionMock.class); InternalIterableProcessAllWindowFunction<Long, String, TimeWindow> windowFunction = new InternalIterableProcessAllWindowFunction<>(mock); // check setOutputType TypeInformation<String> stringType = BasicTypeInfo.STRING_TYPE_INFO; ExecutionConfig execConf = new ExecutionConfig(); execConf.setParallelism(42); StreamingFunctionUtils.setOutputType(windowFunction, stringType, execConf); verify(mock).setOutputType(stringType, execConf); // check open Configuration config = new Configuration(); windowFunction.open(config); verify(mock).open(config); // check setRuntimeContext RuntimeContext rCtx = mock(RuntimeContext.class); windowFunction.setRuntimeContext(rCtx); verify(mock).setRuntimeContext(rCtx); // check apply TimeWindow w = mock(TimeWindow.class); Iterable<Long> i = (Iterable<Long>) mock(Iterable.class); Collector<String> c = (Collector<String>) mock(Collector.class); InternalWindowFunction.InternalWindowContext ctx = mock(InternalWindowFunction.InternalWindowContext.class); windowFunction.process(((byte) 0), w, ctx, i, c); verify(mock).process((ProcessAllWindowFunctionMock.Context) anyObject(), eq(i), eq(c)); // check close windowFunction.close(); verify(mock).close(); }
Example #3
Source File: InternalWindowFunctionTest.java From flink with Apache License 2.0 | 4 votes |
@SuppressWarnings("unchecked") @Test public void testInternalIterableProcessAllWindowFunction() throws Exception { ProcessAllWindowFunctionMock mock = mock(ProcessAllWindowFunctionMock.class); InternalIterableProcessAllWindowFunction<Long, String, TimeWindow> windowFunction = new InternalIterableProcessAllWindowFunction<>(mock); // check setOutputType TypeInformation<String> stringType = BasicTypeInfo.STRING_TYPE_INFO; ExecutionConfig execConf = new ExecutionConfig(); execConf.setParallelism(42); StreamingFunctionUtils.setOutputType(windowFunction, stringType, execConf); verify(mock).setOutputType(stringType, execConf); // check open Configuration config = new Configuration(); windowFunction.open(config); verify(mock).open(config); // check setRuntimeContext RuntimeContext rCtx = mock(RuntimeContext.class); windowFunction.setRuntimeContext(rCtx); verify(mock).setRuntimeContext(rCtx); // check apply TimeWindow w = mock(TimeWindow.class); Iterable<Long> i = (Iterable<Long>) mock(Iterable.class); Collector<String> c = (Collector<String>) mock(Collector.class); InternalWindowFunction.InternalWindowContext ctx = mock(InternalWindowFunction.InternalWindowContext.class); windowFunction.process(((byte) 0), w, ctx, i, c); verify(mock).process((ProcessAllWindowFunctionMock.Context) anyObject(), eq(i), eq(c)); // check close windowFunction.close(); verify(mock).close(); }
Example #4
Source File: AllWindowedStream.java From Flink-CEPplus with Apache License 2.0 | 3 votes |
/** * 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>Note 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); }
Example #5
Source File: AllWindowedStream.java From Flink-CEPplus with Apache License 2.0 | 3 votes |
/** * 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>Note 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, TypeInformation<R> resultType) { String callLocation = Utils.getCallLocationName(); function = input.getExecutionEnvironment().clean(function); return apply(new InternalIterableProcessAllWindowFunction<>(function), resultType, callLocation); }
Example #6
Source File: AllWindowedStream.java From flink with Apache License 2.0 | 3 votes |
/** * 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>Note 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); }
Example #7
Source File: AllWindowedStream.java From flink with Apache License 2.0 | 3 votes |
/** * 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>Note 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, TypeInformation<R> resultType) { String callLocation = Utils.getCallLocationName(); function = input.getExecutionEnvironment().clean(function); return apply(new InternalIterableProcessAllWindowFunction<>(function), resultType, callLocation); }
Example #8
Source File: AllWindowedStream.java From flink with Apache License 2.0 | 3 votes |
/** * 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>Note 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); }
Example #9
Source File: AllWindowedStream.java From flink with Apache License 2.0 | 3 votes |
/** * 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>Note 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, TypeInformation<R> resultType) { String callLocation = Utils.getCallLocationName(); function = input.getExecutionEnvironment().clean(function); return apply(new InternalIterableProcessAllWindowFunction<>(function), resultType, callLocation); }