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import org.apache.flink.api.common.state.ValueState; | |
import org.apache.flink.api.common.state.ValueStateDescriptor; | |
import org.apache.flink.api.common.typeutils.base.LongSerializer; | |
import org.apache.flink.streaming.api.windowing.triggers.Trigger; | |
import org.apache.flink.streaming.api.windowing.triggers.TriggerResult; | |
import org.apache.flink.streaming.api.windowing.windows.Window; | |
import java.io.IOException; | |
/** | |
* A {@link Trigger} that fires once the number of elements in a pane reaches the given count or the timeout expires, whichever happens first. | |
* | |
* @param <T> The type of elements. | |
* @param <W> The type of {@link Window Windows} on which this trigger can operate. | |
*/ | |
public class CountWithTimeoutTrigger<T, W extends Window> extends Trigger<T, W> { | |
private static final long serialVersionUID = 1L; | |
private final long maxCount; | |
private final long timeoutMs; | |
private final ValueStateDescriptor<Long> countDesc = new ValueStateDescriptor<>("count", LongSerializer.INSTANCE, 0L); | |
private final ValueStateDescriptor<Long> deadlineDesc = new ValueStateDescriptor<>("deadline", LongSerializer.INSTANCE, Long.MAX_VALUE); | |
private CountWithTimeoutTrigger(long maxCount, long timeoutMs) { | |
this.maxCount = maxCount; | |
this.timeoutMs = timeoutMs; | |
} | |
@Override | |
public TriggerResult onElement(T element, long timestamp, W window, Trigger.TriggerContext ctx) throws IOException { | |
final ValueState<Long> deadline = ctx.getPartitionedState(deadlineDesc); | |
final ValueState<Long> count = ctx.getPartitionedState(countDesc); | |
final long currentDeadline = deadline.value(); | |
final long currentTimeMs = System.currentTimeMillis(); | |
final long newCount = count.value() + 1; | |
if (currentTimeMs >= currentDeadline || newCount >= maxCount) { | |
return fire(deadline, count); | |
} | |
if (currentDeadline == deadlineDesc.getDefaultValue()) { | |
final long nextDeadline = currentTimeMs + timeoutMs; | |
deadline.update(nextDeadline); | |
ctx.registerProcessingTimeTimer(nextDeadline); | |
} | |
count.update(newCount); | |
return TriggerResult.CONTINUE; | |
} | |
@Override | |
public TriggerResult onEventTime(long time, W window, Trigger.TriggerContext ctx) { | |
return TriggerResult.CONTINUE; | |
} | |
@Override | |
public TriggerResult onProcessingTime(long time, W window, Trigger.TriggerContext ctx) throws Exception { | |
final ValueState<Long> deadline = ctx.getPartitionedState(deadlineDesc); | |
// fire only if the deadline hasn't changed since registering this timer | |
if (deadline.value() == time) { | |
return fire(deadline, ctx.getPartitionedState(countDesc)); | |
} | |
return TriggerResult.CONTINUE; | |
} | |
@Override | |
public void clear(W window, TriggerContext ctx) throws Exception { | |
final ValueState<Long> deadline = ctx.getPartitionedState(deadlineDesc); | |
final long deadlineValue = deadline.value(); | |
if (deadlineValue != deadlineDesc.getDefaultValue()) { | |
ctx.deleteProcessingTimeTimer(deadlineValue); | |
} | |
deadline.clear(); | |
} | |
private TriggerResult fire(ValueState<Long> deadline, ValueState<Long> count) throws IOException { | |
deadline.update(Long.MAX_VALUE); | |
count.update(0L); | |
return TriggerResult.FIRE; | |
} | |
@Override | |
public String toString() { | |
return "CountWithTimeoutTrigger(" + maxCount + "," + timeoutMs + ")"; | |
} | |
public static <T, W extends Window> CountWithTimeoutTrigger<T, W> of(long maxCount, long intervalMs) { | |
return new CountWithTimeoutTrigger<>(maxCount, intervalMs); | |
} | |
} |
Dont you need to "synchronize" the "onElement" and "onProcessingTime" functions ?
Is there a clear call missing for Count State?
Sorry folks, I haven't used Flink in a loooong time and can't speak to the correctness of the code.
No worries! Though, maybe somebody who would find that would tweak it to own needs :)
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Enable batching using this trigger
dataStream.batched(count, timeoutMs)