org.apache.flink.streaming.api.functions.windowing.RichAllWindowFunction Java Examples
The following examples show how to use
org.apache.flink.streaming.api.functions.windowing.RichAllWindowFunction.
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Example #1
| Source File: EventTimeAllWindowCheckpointingITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
|
@Test
public void testTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> values,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
int sum = 0;
long key = -1;
for (Tuple2<Long, IntType> value : values) {
sum += value.f1.value;
key = value.f0;
}
out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #2
| Source File: EventTimeAllWindowCheckpointingITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
|
@Test
public void testSlidingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 1000;
final int windowSlide = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS), Time.of(windowSlide, MILLISECONDS))
.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> values,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
int sum = 0;
long key = -1;
for (Tuple2<Long, IntType> value : values) {
sum += value.f1.value;
key = value.f0;
}
out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
.setParallelism(1);
env.execute("Sliding Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #3
| Source File: EventTimeAllWindowCheckpointingITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.reduce(
new ReduceFunction<Tuple2<Long, IntType>>() {
@Override
public Tuple2<Long, IntType> reduce(
Tuple2<Long, IntType> a,
Tuple2<Long, IntType> b) {
return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
}
},
new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple2<Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f1));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #4
| Source File: EventTimeAllWindowCheckpointingITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedFoldingTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.fold(new Tuple4<>(0L, 0L, 0L, new IntType(0)),
new FoldFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>>() {
@Override
public Tuple4<Long, Long, Long, IntType> fold(Tuple4<Long, Long, Long, IntType> accumulator,
Tuple2<Long, IntType> value) throws Exception {
accumulator.f0 = value.f0;
accumulator.f3 = new IntType(accumulator.f3.value + value.f1.value);
return accumulator;
}
},
new RichAllWindowFunction<Tuple4<Long, Long, Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple4<Long, Long, Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple4<Long, Long, Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f3));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #5
| Source File: EventTimeAllWindowCheckpointingITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedSlidingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 1000;
final int windowSlide = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS),
Time.of(windowSlide, MILLISECONDS))
.reduce(
new ReduceFunction<Tuple2<Long, IntType>>() {
@Override
public Tuple2<Long, IntType> reduce(
Tuple2<Long, IntType> a,
Tuple2<Long, IntType> b) {
return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
}
},
new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple2<Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f1));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #6
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> values,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
int sum = 0;
long key = -1;
for (Tuple2<Long, IntType> value : values) {
sum += value.f1.value;
key = value.f0;
}
out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #7
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testSlidingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 1000;
final int windowSlide = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS), Time.of(windowSlide, MILLISECONDS))
.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> values,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
int sum = 0;
long key = -1;
for (Tuple2<Long, IntType> value : values) {
sum += value.f1.value;
key = value.f0;
}
out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
.setParallelism(1);
env.execute("Sliding Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #8
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.reduce(
new ReduceFunction<Tuple2<Long, IntType>>() {
@Override
public Tuple2<Long, IntType> reduce(
Tuple2<Long, IntType> a,
Tuple2<Long, IntType> b) {
return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
}
},
new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple2<Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f1));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #9
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedFoldingTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.fold(new Tuple4<>(0L, 0L, 0L, new IntType(0)),
new FoldFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>>() {
@Override
public Tuple4<Long, Long, Long, IntType> fold(Tuple4<Long, Long, Long, IntType> accumulator,
Tuple2<Long, IntType> value) throws Exception {
accumulator.f0 = value.f0;
accumulator.f3 = new IntType(accumulator.f3.value + value.f1.value);
return accumulator;
}
},
new RichAllWindowFunction<Tuple4<Long, Long, Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple4<Long, Long, Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple4<Long, Long, Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f3));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #10
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedSlidingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 1000;
final int windowSlide = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env.getConfig().disableSysoutLogging();
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS),
Time.of(windowSlide, MILLISECONDS))
.reduce(
new ReduceFunction<Tuple2<Long, IntType>>() {
@Override
public Tuple2<Long, IntType> reduce(
Tuple2<Long, IntType> a,
Tuple2<Long, IntType> b) {
return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
}
},
new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple2<Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f1));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #11
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> values,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
int sum = 0;
long key = -1;
for (Tuple2<Long, IntType> value : values) {
sum += value.f1.value;
key = value.f0;
}
out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #12
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testSlidingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 1000;
final int windowSlide = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS), Time.of(windowSlide, MILLISECONDS))
.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> values,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
int sum = 0;
long key = -1;
for (Tuple2<Long, IntType> value : values) {
sum += value.f1.value;
key = value.f0;
}
out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
.setParallelism(1);
env.execute("Sliding Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #13
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.reduce(
new ReduceFunction<Tuple2<Long, IntType>>() {
@Override
public Tuple2<Long, IntType> reduce(
Tuple2<Long, IntType> a,
Tuple2<Long, IntType> b) {
return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
}
},
new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple2<Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f1));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #14
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedFoldingTumblingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS))
.fold(new Tuple4<>(0L, 0L, 0L, new IntType(0)),
new FoldFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>>() {
@Override
public Tuple4<Long, Long, Long, IntType> fold(Tuple4<Long, Long, Long, IntType> accumulator,
Tuple2<Long, IntType> value) throws Exception {
accumulator.f0 = value.f0;
accumulator.f3 = new IntType(accumulator.f3.value + value.f1.value);
return accumulator;
}
},
new RichAllWindowFunction<Tuple4<Long, Long, Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple4<Long, Long, Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple4<Long, Long, Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f3));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #15
| Source File: EventTimeAllWindowCheckpointingITCase.java From flink with Apache License 2.0 | 4 votes |
|
@Test
public void testPreAggregatedSlidingTimeWindow() {
final int numElementsPerKey = 3000;
final int windowSize = 1000;
final int windowSlide = 100;
final int numKeys = 1;
try {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(PARALLELISM);
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100);
env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
env
.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
.rebalance()
.timeWindowAll(Time.of(windowSize, MILLISECONDS),
Time.of(windowSlide, MILLISECONDS))
.reduce(
new ReduceFunction<Tuple2<Long, IntType>>() {
@Override
public Tuple2<Long, IntType> reduce(
Tuple2<Long, IntType> a,
Tuple2<Long, IntType> b) {
return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
}
},
new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {
private boolean open = false;
@Override
public void open(Configuration parameters) {
assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
open = true;
}
@Override
public void apply(
TimeWindow window,
Iterable<Tuple2<Long, IntType>> input,
Collector<Tuple4<Long, Long, Long, IntType>> out) {
// validate that the function has been opened properly
assertTrue(open);
for (Tuple2<Long, IntType> in: input) {
out.collect(new Tuple4<>(in.f0,
window.getStart(),
window.getEnd(),
in.f1));
}
}
})
.addSink(new ValidatingSink<>(
new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
.setParallelism(1);
env.execute("Tumbling Window Test");
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
