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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,6 @@
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.annotations.VisibleForTesting;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.MoreObjects;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Iterables;
import org.joda.time.Duration;
import org.joda.time.Instant;
Expand Down Expand Up @@ -78,13 +77,13 @@
* PCollection<KV<String, Iterable<String>>> batched = input
* .apply(GroupIntoBatches.<String, String>ofSize(batchSize))
* .setCoder(KvCoder.of(StringUtf8Coder.of(), IterableCoder.of(StringUtf8Coder.of())))
* .apply(ParDo.of(new DoFn<KV<String, Iterable<String>>, KV<String, String>>() }{
* {@code @ProcessElement
* .apply(ParDo.of(new DoFn<KV<String, Iterable<String>>, KV<String, String>>() {
* @ProcessElement
* public void processElement(@Element KV<String, Iterable<String>> element,
* OutputReceiver<KV<String, String>> r) {
* r.output(KV.of(element.getKey(), callWebService(element.getValue())));
* }
* }}));
* }));
* </pre>
*
* <p>Example 2 (batch unbounded input in a global window):
Expand Down Expand Up @@ -171,7 +170,7 @@ private GroupIntoBatches(BatchingParams<InputT> params) {

/** Aim to create batches each with the specified element count. */
public static <K, InputT> GroupIntoBatches<K, InputT> ofSize(long batchSize) {
Preconditions.checkState(batchSize < Long.MAX_VALUE);
checkArgument(batchSize < Long.MAX_VALUE, "batchSize must be less than Long.MAX_VALUE");
return new GroupIntoBatches<K, InputT>(BatchingParams.createDefault()).withSize(batchSize);
}

Expand Down Expand Up @@ -210,9 +209,23 @@ public String toString() {
return super.toString() + ", params=" + params;
}

@Override
public void populateDisplayData(DisplayData.Builder builder) {
super.populateDisplayData(builder);
if (params.getBatchSize() < Long.MAX_VALUE) {
builder.add(DisplayData.item("batchSize", params.getBatchSize()));
}
if (params.getBatchSizeBytes() < Long.MAX_VALUE) {
builder.add(DisplayData.item("batchSizeBytes", params.getBatchSizeBytes()));
}
if (params.getMaxBufferingDuration().isLongerThan(Duration.ZERO)) {
builder.add(DisplayData.item("maxBufferingDuration", params.getMaxBufferingDuration()));
}
}

/** See {@link #ofSize(long)}. */
public GroupIntoBatches<K, InputT> withSize(long batchSize) {
Preconditions.checkState(batchSize < Long.MAX_VALUE);
checkArgument(batchSize < Long.MAX_VALUE, "batchSize must be less than Long.MAX_VALUE");
return new GroupIntoBatches<>(
BatchingParams.create(
batchSize,
Expand All @@ -223,7 +236,8 @@ public GroupIntoBatches<K, InputT> withSize(long batchSize) {

/** See {@link #ofByteSize(long)}. */
public GroupIntoBatches<K, InputT> withByteSize(long batchSizeBytes) {
Preconditions.checkState(batchSizeBytes < Long.MAX_VALUE);
checkArgument(
batchSizeBytes < Long.MAX_VALUE, "batchSizeBytes must be less than Long.MAX_VALUE");
return new GroupIntoBatches<>(
BatchingParams.create(
params.getBatchSize(),
Expand All @@ -235,7 +249,8 @@ public GroupIntoBatches<K, InputT> withByteSize(long batchSizeBytes) {
/** See {@link #ofByteSize(long, SerializableFunction)}. */
public GroupIntoBatches<K, InputT> withByteSize(
long batchSizeBytes, SerializableFunction<InputT, Long> getElementByteSize) {
Preconditions.checkState(batchSizeBytes < Long.MAX_VALUE);
checkArgument(
batchSizeBytes < Long.MAX_VALUE, "batchSizeBytes must be less than Long.MAX_VALUE");
return new GroupIntoBatches<>(
BatchingParams.create(
params.getBatchSize(),
Expand Down Expand Up @@ -308,6 +323,20 @@ public KV<ShardedKey<K>, InputT> apply(KV<K, InputT> input) {
.setCoder(KvCoder.of(ShardedKey.Coder.of(keyCoder), valueCoder))
.apply(new GroupIntoBatches<>(getBatchingParams()));
}

@Override
public void populateDisplayData(DisplayData.Builder builder) {
super.populateDisplayData(builder);
if (params.getBatchSize() < Long.MAX_VALUE) {
builder.add(DisplayData.item("batchSize", params.getBatchSize()));
}
if (params.getBatchSizeBytes() < Long.MAX_VALUE) {
builder.add(DisplayData.item("batchSizeBytes", params.getBatchSizeBytes()));
}
if (params.getMaxBufferingDuration().isLongerThan(Duration.ZERO)) {
builder.add(DisplayData.item("maxBufferingDuration", params.getMaxBufferingDuration()));
}
}
}

private static class ByteSizeObserver extends ElementByteSizeObserver {
Expand All @@ -322,7 +351,6 @@ public long getElementByteSize() {
return this.elementByteSize;
}
}
;

@Override
public PCollection<KV<K, Iterable<InputT>>> expand(PCollection<KV<K, InputT>> input) {
Expand Down Expand Up @@ -492,13 +520,11 @@ public void processElement(
storedBatchSize.readLater();
minBufferedTs.readLater();

// Make sure we always include the current timestamp in the minBufferedTs.
minBufferedTs.add(elementTs.getMillis());

LOG.debug("*** BATCH *** Add element for window {} ", window);
if (shouldCareAboutWeight) {
final long elementWeight = weigher.apply(element.getValue());
if (elementWeight + storedBatchSizeBytes.read() > batchSizeBytes) {
if (storedBatchSizeBytes.read() > 0
&& elementWeight + storedBatchSizeBytes.read() > batchSizeBytes) {
// Firing by count and size limits behave differently.
//
// We always increase the count by one, so we will fire at the exact limit without any
Expand Down Expand Up @@ -527,36 +553,47 @@ public void processElement(
}
storedBatchSizeBytes.add(elementWeight);
}

long oldMinBufferedTs =
MoreObjects.firstNonNull(
minBufferedTs.read(), BoundedWindow.TIMESTAMP_MAX_VALUE.getMillis());

batch.add(element.getValue());
// Blind add is supported with combiningState
storedBatchSize.add(1L);
// Add the timestamp back into minBufferedTs as it might be cleared by flushBatch above.
minBufferedTs.add(elementTs.getMillis());

final long num = storedBatchSize.read();
long currentMinBufferedTs = minBufferedTs.read();

// If this is the first element in the batch or if the timer's output timestamp needs
// modifying, then set a timer.
long oldOutputTs =
MoreObjects.firstNonNull(
minBufferedTs.read(), BoundedWindow.TIMESTAMP_MAX_VALUE.getMillis());
boolean needsNewTimer = num == 1 || minBufferedTs.read() != oldOutputTs;
boolean needsNewTimer = num == 1 || currentMinBufferedTs < oldMinBufferedTs;
if (needsNewTimer) {
if (shouldCareAboutMaxBufferingDuration) {
long targetTs =
MoreObjects.firstNonNull(
timerTs.read(),
bufferingTimer.getCurrentRelativeTime().getMillis()
+ maxBufferingDuration.getMillis());
Long existingTargetTs = timerTs.read();
long targetTs;
if (existingTargetTs == null) {
targetTs =
bufferingTimer.getCurrentRelativeTime().getMillis()
+ maxBufferingDuration.getMillis();
timerTs.write(targetTs);
} else {
targetTs = existingTargetTs;
}
bufferingTimer
.withOutputTimestamp(Instant.ofEpochMilli(minBufferedTs.read()))
.withOutputTimestamp(Instant.ofEpochMilli(currentMinBufferedTs))
.set(Instant.ofEpochMilli(targetTs));
} else {
// The only way to hold the watermark is to set a timer. Since there is no buffering
// timer, we set a dummy
// timer at the end of the window to manage the hold.
Instant windowEnd = window.maxTimestamp().plus(allowedLateness);
holdTimer.withOutputTimestamp(Instant.ofEpochMilli(minBufferedTs.read())).set(windowEnd);
Instant windowMax = window.maxTimestamp();
Instant windowEnd =
windowMax.isBefore(BoundedWindow.TIMESTAMP_MAX_VALUE.minus(allowedLateness))
? windowMax.plus(allowedLateness)
: BoundedWindow.TIMESTAMP_MAX_VALUE;
holdTimer.withOutputTimestamp(Instant.ofEpochMilli(currentMinBufferedTs)).set(windowEnd);
}
}

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,8 @@
*/
package org.apache.beam.sdk.transforms;

import static org.apache.beam.sdk.transforms.display.DisplayDataMatchers.hasDisplayItem;
import static org.hamcrest.MatcherAssert.assertThat;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;

Expand Down Expand Up @@ -44,6 +46,7 @@
import org.apache.beam.sdk.testing.UsesTestStreamWithProcessingTime;
import org.apache.beam.sdk.testing.UsesTimersInParDo;
import org.apache.beam.sdk.testing.ValidatesRunner;
import org.apache.beam.sdk.transforms.display.DisplayData;
import org.apache.beam.sdk.transforms.windowing.AfterPane;
import org.apache.beam.sdk.transforms.windowing.BoundedWindow;
import org.apache.beam.sdk.transforms.windowing.FixedWindows;
Expand Down Expand Up @@ -805,4 +808,71 @@ private static <K> boolean checkBatchByteSizes(
}
return true;
}

@Test(expected = IllegalArgumentException.class)
public void testMaxBatchSizeThrows() {
GroupIntoBatches.ofSize(Long.MAX_VALUE);
}

@Test(expected = IllegalArgumentException.class)
public void testMaxBatchSizeBytesThrows() {
GroupIntoBatches.ofByteSize(Long.MAX_VALUE);
}

@Test
public void testDisplayData() {
GroupIntoBatches<String, String> gib =
GroupIntoBatches.<String, String>ofSize(100)
.withByteSize(1000)
.withMaxBufferingDuration(Duration.standardSeconds(5));
DisplayData displayData = DisplayData.from(gib);
assertThat(displayData, hasDisplayItem("batchSize", 100L));
assertThat(displayData, hasDisplayItem("batchSizeBytes", 1000L));
assertThat(displayData, hasDisplayItem("maxBufferingDuration", Duration.standardSeconds(5)));
}

/**
* Tests that when elements arrive out of order, the watermark hold is updated to the minimum
* timestamp. With ofSize(3) and 2 elements, elements remain buffered until window expiration,
* exercising the updated timer watermark hold rather than flushing immediately in processElement.
*/
@Test
@Category({
ValidatesRunner.class,
NeedsRunner.class,
UsesTimersInParDo.class,
UsesStatefulParDo.class,
UsesTestStream.class,
UsesOnWindowExpiration.class
})
public void testOutOfOrderTimestampsInBatch() {
Instant baseTs = new Instant(0L);
TestStream<KV<String, String>> stream =
TestStream.create(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of()))
.advanceWatermarkTo(baseTs)
.addElements(
TimestampedValue.of(
KV.of("key", "val1"), baseTs.plus(Duration.standardSeconds(10))))
.addElements(
TimestampedValue.of(KV.of("key", "val2"), baseTs.plus(Duration.standardSeconds(5))))
.advanceWatermarkToInfinity();

PCollection<Long> outputTimestamps =
pipeline
.apply(stream)
.apply(GroupIntoBatches.ofSize(3))
.apply(
ParDo.of(
new DoFn<KV<String, Iterable<String>>, Long>() {
@ProcessElement
public void processElement(
@Timestamp Instant ts, OutputReceiver<Long> receiver) {
receiver.output(ts.getMillis());
}
}));

PAssert.that(outputTimestamps)
.containsInAnyOrder(baseTs.plus(Duration.standardSeconds(5)).getMillis());
pipeline.run();
}
}
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