use of org.apache.flink.table.runtime.dataview.PerWindowStateDataViewStore in project flink by apache.
the class WindowOperator method open.
@Override
public void open() throws Exception {
super.open();
collector = new TimestampedCollector<>(output);
collector.eraseTimestamp();
internalTimerService = getInternalTimerService("window-timers", windowSerializer, this);
triggerContext = new TriggerContext();
triggerContext.open();
StateDescriptor<ValueState<RowData>, RowData> windowStateDescriptor = new ValueStateDescriptor<>("window-aggs", new RowDataSerializer(accumulatorTypes));
this.windowState = (InternalValueState<K, W, RowData>) getOrCreateKeyedState(windowSerializer, windowStateDescriptor);
if (produceUpdates) {
LogicalType[] valueTypes = ArrayUtils.addAll(aggResultTypes, windowPropertyTypes);
StateDescriptor<ValueState<RowData>, RowData> previousStateDescriptor = new ValueStateDescriptor<>("previous-aggs", new RowDataSerializer(valueTypes));
this.previousState = (InternalValueState<K, W, RowData>) getOrCreateKeyedState(windowSerializer, previousStateDescriptor);
}
compileGeneratedCode();
WindowContext windowContext = new WindowContext();
windowAggregator.open(new PerWindowStateDataViewStore(getKeyedStateBackend(), windowSerializer, getRuntimeContext()));
if (windowAssigner instanceof MergingWindowAssigner) {
this.windowFunction = new MergingWindowProcessFunction<>((MergingWindowAssigner<W>) windowAssigner, windowAggregator, windowSerializer, allowedLateness);
} else if (windowAssigner instanceof PanedWindowAssigner) {
this.windowFunction = new PanedWindowProcessFunction<>((PanedWindowAssigner<W>) windowAssigner, windowAggregator, allowedLateness);
} else {
this.windowFunction = new GeneralWindowProcessFunction<>(windowAssigner, windowAggregator, allowedLateness);
}
windowFunction.open(windowContext);
// metrics
this.numLateRecordsDropped = metrics.counter(LATE_ELEMENTS_DROPPED_METRIC_NAME);
this.lateRecordsDroppedRate = metrics.meter(LATE_ELEMENTS_DROPPED_RATE_METRIC_NAME, new MeterView(numLateRecordsDropped));
this.watermarkLatency = metrics.gauge(WATERMARK_LATENCY_METRIC_NAME, () -> {
long watermark = internalTimerService.currentWatermark();
if (watermark < 0) {
return 0L;
} else {
return internalTimerService.currentProcessingTime() - watermark;
}
});
}
use of org.apache.flink.table.runtime.dataview.PerWindowStateDataViewStore in project flink by apache.
the class AbstractWindowAggProcessor method open.
@Override
public void open(Context<Long> context) throws Exception {
this.ctx = context;
final LongSerializer namespaceSerializer = LongSerializer.INSTANCE;
ValueState<RowData> state = ctx.getKeyedStateBackend().getOrCreateKeyedState(namespaceSerializer, new ValueStateDescriptor<>("window-aggs", accSerializer));
this.windowState = new WindowValueState<>((InternalValueState<RowData, Long, RowData>) state);
this.clockService = ClockService.of(ctx.getTimerService());
this.windowTimerService = new WindowTimerServiceImpl(ctx.getTimerService(), shiftTimeZone);
this.aggregator = genAggsHandler.newInstance(ctx.getRuntimeContext().getUserCodeClassLoader());
this.aggregator.open(new PerWindowStateDataViewStore(ctx.getKeyedStateBackend(), namespaceSerializer, ctx.getRuntimeContext()));
this.windowBuffer = windowBufferFactory.create(ctx.getOperatorOwner(), ctx.getMemoryManager(), ctx.getMemorySize(), ctx.getRuntimeContext(), windowTimerService, ctx.getKeyedStateBackend(), windowState, isEventTime, shiftTimeZone);
this.reuseOutput = new JoinedRowData();
this.currentProgress = Long.MIN_VALUE;
this.nextTriggerProgress = Long.MIN_VALUE;
}
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