gemini-code-assist[bot] commented on code in PR #38609: URL: https://github.com/apache/beam/pull/38609#discussion_r3326909234
########## sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/AsyncDoFn.java: ########## @@ -0,0 +1,749 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.sdk.transforms; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.CompletionException; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.concurrent.TimeUnit; +import java.util.concurrent.atomic.AtomicInteger; +import java.util.concurrent.locks.ReentrantLock; +import org.apache.beam.sdk.coders.Coder; +import org.apache.beam.sdk.options.PipelineOptions; +import org.apache.beam.sdk.state.BagState; +import org.apache.beam.sdk.state.StateSpec; +import org.apache.beam.sdk.state.StateSpecs; +import org.apache.beam.sdk.state.TimeDomain; +import org.apache.beam.sdk.state.Timer; +import org.apache.beam.sdk.state.TimerSpec; +import org.apache.beam.sdk.state.TimerSpecs; +import org.apache.beam.sdk.transforms.reflect.DoFnInvoker; +import org.apache.beam.sdk.transforms.reflect.DoFnInvokers; +import org.apache.beam.sdk.transforms.windowing.BoundedWindow; +import org.apache.beam.sdk.transforms.windowing.GlobalWindow; +import org.apache.beam.sdk.values.KV; +import org.apache.beam.sdk.values.TupleTag; +import org.checkerframework.checker.nullness.qual.Nullable; +import org.joda.time.Duration; +import org.joda.time.Instant; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * Class that wraps a dofn and converts it from one which process elements synchronously to one + * which processes them asynchronously. + * + * <p>For synchronous dofns the default settings mean that many (100s) of elements will be processed + * in parallel and that processing an element will block all other work on that key. In addition + * runners are optimized for latencies less than a few seconds and longer operations can result in + * high retry rates. Async should be considered when the default parallelism is not correct and/or + * items are expected to take longer than a few seconds to process. + * + * <p>/* NOTE: 1) The wrapped syncFn REQUIRES thread-safety if BOTH parallelism > 1 and the DoFn is + * stateful. 2) Tagged output multi-outputs are unsupported. 3) StartBundle/finishBundle are invoked + * per element so any batching or aggregation logic will not behave as expected. + */ +public class AsyncDoFn<K, InputT, OutputT> extends DoFn<KV<K, InputT>, OutputT> { + + private static final Logger LOG = LoggerFactory.getLogger(AsyncDoFn.class); + + private static final int DEFAULT_MIN_BUFFER_CAPACITY = 10; + private static final int DEFAULT_TIMEOUT_SEC = 1; + private static final int DEFAULT_MAX_WAIT_TIME_MS = 500; + private static final int TEARDOWN_AWAIT_SEC = 5; + private static final int INITIAL_BACKOFF_SLEEP_MS = 10; + private static final int BACKPRESSURE_LOG_THRESHOLD_MS = 10000; + + @StateId("to_process") + private final StateSpec<BagState<KV<K, InputT>>> toProcessSpec; + + @TimerId("timer") + private final TimerSpec timerSpec = TimerSpecs.timer(TimeDomain.PROCESSING_TIME); + + private final DoFn<InputT, OutputT> syncFn; + private final int parallelism; + private final Duration timerFrequency; + private final int maxItemsToBuffer; + private final Duration timeout; + private final Duration maxWaitTime; + private final SerializableFunction<InputT, Object> idFn; + private final boolean useThreadPool; + private final String uuid; + + private transient volatile @Nullable PipelineOptions pipelineOptions; + + // Shared JVM-Wide States (Static Registries) + // Map-backed registry holding shared resources across serialized worker instances. Since runners + // clone DoFn instances on the same worker node, static maps ensure safe JVM-wide resource reuse. + private static final ConcurrentHashMap<String, ExecutorService> pool = new ConcurrentHashMap<>(); + // activeElements (processingElements) is global JVM memory (all keys) + private static final ConcurrentHashMap<String, ConcurrentHashMap<Object, InFlightElement<?>>> + processingElements = new ConcurrentHashMap<>(); Review Comment:  Currently, `processingElements` is a flat map of all active elements across all keys in the JVM. In `commitFinishedItems`, the code iterates over the entire map (`activeElements.entrySet()`) to find and cancel elements belonging to the current key. This is an $O(N)$ operation where $N$ is the total number of active elements across all keys in the JVM. Since `commitFinishedItems` is called per key when its timer fires, this results in $O(K \times N)$ complexity, which will severely degrade performance under heavy load with many keys.\n\nWe can optimize this to $O(1)$ lookup and $O(M)$ iteration (where $M$ is the number of active elements for the specific key) by grouping `processingElements` by the partition key `key`. Since `ConcurrentHashMap` does not support `null` keys, we can use a sentinel object to represent `null` keys. ```suggestion private static final Object NULL_KEY = new Object(); private static final ConcurrentHashMap<String, ConcurrentHashMap<Object, ConcurrentHashMap<Object, InFlightElement<?>>>> processingElements = new ConcurrentHashMap<>(); ``` ########## sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/AsyncDoFn.java: ########## @@ -0,0 +1,749 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.sdk.transforms; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.CompletionException; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.concurrent.TimeUnit; +import java.util.concurrent.atomic.AtomicInteger; +import java.util.concurrent.locks.ReentrantLock; +import org.apache.beam.sdk.coders.Coder; +import org.apache.beam.sdk.options.PipelineOptions; +import org.apache.beam.sdk.state.BagState; +import org.apache.beam.sdk.state.StateSpec; +import org.apache.beam.sdk.state.StateSpecs; +import org.apache.beam.sdk.state.TimeDomain; +import org.apache.beam.sdk.state.Timer; +import org.apache.beam.sdk.state.TimerSpec; +import org.apache.beam.sdk.state.TimerSpecs; +import org.apache.beam.sdk.transforms.reflect.DoFnInvoker; +import org.apache.beam.sdk.transforms.reflect.DoFnInvokers; +import org.apache.beam.sdk.transforms.windowing.BoundedWindow; +import org.apache.beam.sdk.transforms.windowing.GlobalWindow; +import org.apache.beam.sdk.values.KV; +import org.apache.beam.sdk.values.TupleTag; +import org.checkerframework.checker.nullness.qual.Nullable; +import org.joda.time.Duration; +import org.joda.time.Instant; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * Class that wraps a dofn and converts it from one which process elements synchronously to one + * which processes them asynchronously. + * + * <p>For synchronous dofns the default settings mean that many (100s) of elements will be processed + * in parallel and that processing an element will block all other work on that key. In addition + * runners are optimized for latencies less than a few seconds and longer operations can result in + * high retry rates. Async should be considered when the default parallelism is not correct and/or + * items are expected to take longer than a few seconds to process. + * + * <p>/* NOTE: 1) The wrapped syncFn REQUIRES thread-safety if BOTH parallelism > 1 and the DoFn is + * stateful. 2) Tagged output multi-outputs are unsupported. 3) StartBundle/finishBundle are invoked + * per element so any batching or aggregation logic will not behave as expected. + */ +public class AsyncDoFn<K, InputT, OutputT> extends DoFn<KV<K, InputT>, OutputT> { + + private static final Logger LOG = LoggerFactory.getLogger(AsyncDoFn.class); + + private static final int DEFAULT_MIN_BUFFER_CAPACITY = 10; + private static final int DEFAULT_TIMEOUT_SEC = 1; + private static final int DEFAULT_MAX_WAIT_TIME_MS = 500; + private static final int TEARDOWN_AWAIT_SEC = 5; + private static final int INITIAL_BACKOFF_SLEEP_MS = 10; + private static final int BACKPRESSURE_LOG_THRESHOLD_MS = 10000; + + @StateId("to_process") + private final StateSpec<BagState<KV<K, InputT>>> toProcessSpec; + + @TimerId("timer") + private final TimerSpec timerSpec = TimerSpecs.timer(TimeDomain.PROCESSING_TIME); + + private final DoFn<InputT, OutputT> syncFn; + private final int parallelism; + private final Duration timerFrequency; + private final int maxItemsToBuffer; + private final Duration timeout; + private final Duration maxWaitTime; + private final SerializableFunction<InputT, Object> idFn; + private final boolean useThreadPool; + private final String uuid; + + private transient volatile @Nullable PipelineOptions pipelineOptions; + + // Shared JVM-Wide States (Static Registries) + // Map-backed registry holding shared resources across serialized worker instances. Since runners + // clone DoFn instances on the same worker node, static maps ensure safe JVM-wide resource reuse. + private static final ConcurrentHashMap<String, ExecutorService> pool = new ConcurrentHashMap<>(); + // activeElements (processingElements) is global JVM memory (all keys) + private static final ConcurrentHashMap<String, ConcurrentHashMap<Object, InFlightElement<?>>> + processingElements = new ConcurrentHashMap<>(); + private static final ConcurrentHashMap<String, AtomicInteger> itemsInBuffer = + new ConcurrentHashMap<>(); + // Reference counts for cloned instances sharing the same UUID. Coordinates safe, + // leak-free thread pool shutdown during teardown without crashing active sibling clones. + private static final ConcurrentHashMap<String, AtomicInteger> refCounts = + new ConcurrentHashMap<>(); + + // If contention becomes a bottleneck, this can be replaced with per-uuid locks + // in a ConcurrentHashMap + private static final ReentrantLock lock = new ReentrantLock(); + private static final boolean verboseLogging = false; + + private static class TimestampedOutput<T> { + final T value; + final @Nullable Instant timestamp; + + TimestampedOutput(T value, @Nullable Instant timestamp) { + this.value = value; + this.timestamp = timestamp; + } + } + + private static class InFlightElement<OutputT> { + final @Nullable Object key; + final CompletableFuture<List<TimestampedOutput<OutputT>>> future; + + InFlightElement( + @Nullable Object key, CompletableFuture<List<TimestampedOutput<OutputT>>> future) { + this.key = key; + this.future = future; + } + } + + // The In-Memory Accumulating Receiver + // Accumulates elements in-memory during asynchronous background worker execution. + // Buffered elements are only committed downstream once the parent task completes successfully + // and the timer fires. + private static class AccumulatingOutputReceiver<T> implements OutputReceiver<T> { + private final List<TimestampedOutput<T>> outputs = + Collections.synchronizedList(new ArrayList<>()); + + private final Instant inputTimestamp; // <-- Store original timestamp + + AccumulatingOutputReceiver(Instant inputTimestamp) { + this.inputTimestamp = inputTimestamp; + } + + @Override + public org.apache.beam.sdk.values.OutputBuilder<T> builder(T value) { + return org.apache.beam.sdk.values.WindowedValues.<T>builder() + .setValue(value) + .setTimestamp(inputTimestamp) + .setWindows(java.util.Collections.singletonList(GlobalWindow.INSTANCE)) + .setPaneInfo(org.apache.beam.sdk.transforms.windowing.PaneInfo.NO_FIRING) + .setReceiver( + windowedValue -> + outputs.add( + new TimestampedOutput<>( + windowedValue.getValue(), windowedValue.getTimestamp()))); + } + + // Bypasses the nested anonymous OutputBuilder instantiation for standard outputs. + // JVM optimization to prevent garbage collection pressure under high pipeline throughput. + @Override + public void output(T output) { + outputs.add(new TimestampedOutput<>(output, inputTimestamp)); + } + + @Override + public void outputWithTimestamp(T output, Instant timestamp) { + outputs.add(new TimestampedOutput<>(output, timestamp)); + } + + public List<T> getOutputs() { + List<T> rawOutputs = new ArrayList<>(); + for (TimestampedOutput<T> out : outputs) { + rawOutputs.add(out.value); + } + return rawOutputs; + } + + public List<TimestampedOutput<T>> getTimestampedOutputs() { + return outputs; + } + } + + public AsyncDoFn( + DoFn<InputT, OutputT> syncFn, + int parallelism, + Duration timerFrequency, + @Nullable Integer maxItemsToBuffer, + @Nullable Duration timeout, + @Nullable Duration maxWaitTime, + @Nullable SerializableFunction<InputT, Object> idFn, + boolean useThreadPool) { + this( + syncFn, + parallelism, + timerFrequency, + maxItemsToBuffer, + timeout, + maxWaitTime, + idFn, + useThreadPool, + null); + } + + public AsyncDoFn( + DoFn<InputT, OutputT> syncFn, + int parallelism, + Duration timerFrequency, + @Nullable Integer maxItemsToBuffer, + @Nullable Duration timeout, + @Nullable Duration maxWaitTime, + @Nullable SerializableFunction<InputT, Object> idFn, + boolean useThreadPool, + @Nullable Coder<KV<K, InputT>> coder) { + this.syncFn = syncFn; + this.parallelism = parallelism; + if (timerFrequency.getMillis() <= 0) { + throw new IllegalArgumentException("timerFrequency must be greater than zero"); + } + this.timerFrequency = timerFrequency; + this.maxItemsToBuffer = + (maxItemsToBuffer != null) + ? maxItemsToBuffer + : Math.max(parallelism * 2, DEFAULT_MIN_BUFFER_CAPACITY); + this.timeout = (timeout != null) ? timeout : Duration.standardSeconds(DEFAULT_TIMEOUT_SEC); + this.maxWaitTime = + (maxWaitTime != null) ? maxWaitTime : Duration.millis(DEFAULT_MAX_WAIT_TIME_MS); + this.idFn = + (idFn != null) + ? idFn + : (SerializableFunction<InputT, Object>) + input -> java.util.Objects.requireNonNull(input); + this.useThreadPool = useThreadPool; + this.uuid = UUID.randomUUID().toString(); + this.toProcessSpec = (coder != null) ? StateSpecs.bag(coder) : StateSpecs.bag(); + } + + private ExecutorService getThreadPool() { + ExecutorService threadPool = pool.get(uuid); + if (threadPool == null) { + throw new IllegalStateException("Thread pool not initialized for UUID: " + uuid); + } + return threadPool; + } + + @SuppressWarnings("unchecked") + private ConcurrentHashMap<Object, InFlightElement<OutputT>> getProcessingElements() { + ConcurrentHashMap<Object, InFlightElement<?>> elements = processingElements.get(uuid); + if (elements == null) { + throw new IllegalStateException("Processing elements map not initialized for UUID: " + uuid); + } + return (ConcurrentHashMap<Object, InFlightElement<OutputT>>) (ConcurrentHashMap<?, ?>) elements; + } + + private AtomicInteger getItemsInBuffer() { + AtomicInteger buffer = itemsInBuffer.get(uuid); + if (buffer == null) { + throw new IllegalStateException("Buffer counter not initialized for UUID: " + uuid); + } + return buffer; + } + + @Setup + public void setup(PipelineOptions options) { + this.pipelineOptions = options; + + // Setup the wrapped DoFn + DoFnInvokers.invokerFor(syncFn) + .invokeSetup( + new DoFnInvoker.BaseArgumentProvider<InputT, OutputT>() { + @Override + public PipelineOptions pipelineOptions() { + return options; + } + + @Override + public String getErrorContext() { + return "AsyncDoFn/Setup"; + } + }); + + if (useThreadPool) { + LOG.info("Using thread pool for asynchronous execution with parallelism {}", parallelism); + } + + lock.lock(); + try { + if (useThreadPool) { + pool.computeIfAbsent(uuid, k -> Executors.newFixedThreadPool(parallelism)); + } + processingElements.computeIfAbsent(uuid, k -> new ConcurrentHashMap<>()); + itemsInBuffer.computeIfAbsent(uuid, k -> new AtomicInteger(0)); + refCounts.computeIfAbsent(uuid, k -> new AtomicInteger(0)).incrementAndGet(); + } finally { + lock.unlock(); + } + } + + // Clean up JVM-wide shared resources to prevent thread leaks on the worker + @Teardown + public void teardown() { + DoFnInvokers.invokerFor(syncFn).invokeTeardown(); + ExecutorService threadPool = null; + lock.lock(); + try { + AtomicInteger refCount = refCounts.get(uuid); + if (refCount != null && refCount.decrementAndGet() == 0) { + refCounts.remove(uuid); + threadPool = pool.remove(uuid); + processingElements.remove(uuid); + itemsInBuffer.remove(uuid); + } + } finally { + lock.unlock(); + } + if (threadPool != null) { + threadPool.shutdown(); + try { + if (!threadPool.awaitTermination(TEARDOWN_AWAIT_SEC, TimeUnit.SECONDS)) { + threadPool.shutdownNow(); + } + } catch (InterruptedException e) { + threadPool.shutdownNow(); + Thread.currentThread().interrupt(); + } + } + } + + // Asynchronous Scheduling & Deduplication + // Submits tasks to the background thread pool. If an element with the same ID is already + // in-flight, + // the submission is silently ignored to enforce exactly-once semantics. + private boolean scheduleIfRoom( + KV<K, InputT> element, BoundedWindow window, Instant timestamp, boolean ignoreBuffer) { + lock.lock(); + try { + ConcurrentHashMap<Object, InFlightElement<OutputT>> activeElements = getProcessingElements(); + Object elementId = idFn.apply(element.getValue()); + + if (activeElements.containsKey(elementId)) { + LOG.info("Item {} already in processing elements", element); + return true; + } + + int currentBuffer = getItemsInBuffer().get(); + if (currentBuffer < maxItemsToBuffer || ignoreBuffer) { + java.util.concurrent.Executor executor = + useThreadPool ? getThreadPool() : java.util.concurrent.ForkJoinPool.commonPool(); + + // Pending asynchronous task that will produce a list of outputs + CompletableFuture<List<TimestampedOutput<OutputT>>> future = + CompletableFuture.supplyAsync( + () -> { + try { + AccumulatingOutputReceiver<OutputT> receiver = + new AccumulatingOutputReceiver<>(timestamp); + DoFnInvoker<InputT, OutputT> invoker = DoFnInvokers.invokerFor(syncFn); + + DoFnInvoker.ArgumentProvider<InputT, OutputT> bundleArgProvider = + new DoFnInvoker.BaseArgumentProvider<InputT, OutputT>() { + @Override + public PipelineOptions pipelineOptions() { + PipelineOptions options = pipelineOptions; + if (options == null) { + throw new IllegalStateException("PipelineOptions not set"); + } + return options; + } + + @Override + public DoFn<InputT, OutputT>.FinishBundleContext finishBundleContext( + DoFn<InputT, OutputT> doFn) { + return doFn.new FinishBundleContext() { + @Override + public PipelineOptions getPipelineOptions() { + return pipelineOptions(); + } + + @Override + public void output( + OutputT output, Instant timestamp, BoundedWindow window) { + receiver.outputWithTimestamp(output, timestamp); + } + + @Override + public <T> void output( + TupleTag<T> tag, + T output, + Instant timestamp, + BoundedWindow window) { + throw new UnsupportedOperationException( + "Tagged output not supported in " + + "FinishBundleContext for AsyncDoFn"); + } + }; + } + + @Override + public String getErrorContext() { + return "AsyncDoFn/Bundle"; + } + }; + + invoker.invokeStartBundle(bundleArgProvider); + + DoFnInvoker.ArgumentProvider<InputT, OutputT> processArgProvider = + new DoFnInvoker.BaseArgumentProvider<InputT, OutputT>() { + @Override + public InputT element(DoFn<InputT, OutputT> doFn) { + return element.getValue(); + } + + @Override + public OutputReceiver<OutputT> outputReceiver( + DoFn<InputT, OutputT> doFn) { + return receiver; + } + + @Override + public BoundedWindow window() { + return window; + } + + @Override + public Instant timestamp(DoFn<InputT, OutputT> doFn) { + return timestamp; + } + + @Override + public PipelineOptions pipelineOptions() { + PipelineOptions options = pipelineOptions; + if (options == null) { + throw new IllegalStateException("PipelineOptions not set"); + } + return options; + } + + @Override + public String getErrorContext() { + return "AsyncDoFn/Process"; + } + }; + + invoker.invokeProcessElement(processArgProvider); + invoker.invokeFinishBundle(bundleArgProvider); + + return receiver.getTimestampedOutputs(); + } catch (Exception e) { + throw new CompletionException(e); + } + }, + executor); + + // Assigned to 'unused' to satisfy ErrorProne while preserving parent future for + // cancellation + CompletableFuture<List<TimestampedOutput<OutputT>>> unused = + future.whenComplete( + (res, ex) -> { + getItemsInBuffer().decrementAndGet(); + }); + + activeElements.put(elementId, new InFlightElement<>(element.getKey(), future)); + getItemsInBuffer().incrementAndGet(); + return true; + } + + return false; + } finally { + lock.unlock(); + } + } + + private void scheduleItem(KV<K, InputT> element, BoundedWindow window, Instant timestamp) { + boolean done = false; + long sleepTime = INITIAL_BACKOFF_SLEEP_MS; + long totalSleep = 0; + long timeoutMs = timeout.getMillis(); + + while (!done && totalSleep < timeoutMs) { + done = scheduleIfRoom(element, window, timestamp, false); + if (!done) { + long sleep = Math.min(maxWaitTime.getMillis(), sleepTime); + if (verboseLogging || totalSleep > BACKPRESSURE_LOG_THRESHOLD_MS) { + LOG.info( + "buffer is full for item {}, {} waiting {} ms. Have waited for {} ms.", + element, + getItemsInBuffer().get(), + sleep, + totalSleep); + } + try { + Thread.sleep(sleep); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + throw new RuntimeException("Interrupted while waiting for space in buffer", e); + } + + // Prevents long overflow possibility + if (sleepTime < maxWaitTime.getMillis()) { + sleepTime *= 2; + } + + totalSleep += sleep; + } + } + // Timeout: element skips JVM pool but stays in BagState for timer to reschedule later. + } + + // Uses hashcode based jitter instead of random for deterministic rescheduling + // Satisfies lint check + private Instant nextTimeToFire(@Nullable K key) { + long seed = (key == null) ? 0 : key.hashCode(); + double fractionalOffset = Math.abs(seed % 1000000) / 1000000.0; + double timerFrequencySec = timerFrequency.getMillis() / 1000.0; + double nowSec = System.currentTimeMillis() / 1000.0; + + double base = Math.floor((nowSec + timerFrequencySec) / timerFrequencySec) * timerFrequencySec; + double offset = fractionalOffset * timerFrequencySec; + + return Instant.ofEpochMilli((long) ((base + offset) * 1000)); + } + + @ProcessElement + public void processElement( + ProcessContext c, + BoundedWindow window, + @StateId("to_process") BagState<KV<K, InputT>> toProcessState, + @TimerId("timer") Timer timer) { + + KV<K, InputT> element = c.element(); + scheduleItem(element, window, c.timestamp()); + toProcessState.add(element); + + Instant timeToFire = nextTimeToFire(element.getKey()); + timer.set(timeToFire); + } + + @OnTimer("timer") + public void onTimer( + OnTimerContext c, + @StateId("to_process") BagState<KV<K, InputT>> toProcessState, + @TimerId("timer") Timer timer, + OutputReceiver<OutputT> receiver) { + + commitFinishedItems(c.fireTimestamp(), toProcessState, timer, receiver); + } + + // Synchronizes local task results with the runner's persistent state container. + // Emits successfully completed elements, cancels rolled-back tasks, and reschedules lost work. + void commitFinishedItems( + Instant fireTimestamp, + BagState<KV<K, InputT>> toProcessState, + Timer timer, + OutputReceiver<OutputT> receiver) { + + Iterable<KV<K, InputT>> toProcessLocal = toProcessState.read(); + if (toProcessLocal == null || !toProcessLocal.iterator().hasNext()) { + // Early Exit: if BagState is empty, we skip checking activeElements for this key. + return; + } + + // Since fireTimestamp is key-scoped, we determine the current key from the first element in + // state + List<KV<K, InputT>> stateList = new ArrayList<>(); + K key = null; + for (KV<K, InputT> element : toProcessLocal) { + stateList.add(element); + if (key == null) { + key = element.getKey(); + } + } + + if (verboseLogging) { + LOG.info("processing timer for key: {}", key); + } + + ConcurrentHashMap<Object, InFlightElement<OutputT>> activeElements = getProcessingElements(); + + List<List<TimestampedOutput<OutputT>>> toReturn = new ArrayList<>(); + + List<KV<K, InputT>> toReschedule = new ArrayList<>(); + + int itemsFinished = 0; + int itemsNotYetFinished = 0; + int itemsRescheduled = 0; + + Set<Object> finishedElementIds = new HashSet<>(); + Set<Object> inFlightElementIds = new HashSet<>(); + Set<Object> rescheduledElementIds = new HashSet<>(); + + lock.lock(); + try { + Set<Object> stateElementIds = new HashSet<>(); + for (KV<K, InputT> element : stateList) { + stateElementIds.add(idFn.apply(element.getValue())); + } + + List<Object> toCancelIds = new ArrayList<>(); + for (Map.Entry<Object, InFlightElement<OutputT>> entry : activeElements.entrySet()) { + InFlightElement<OutputT> inFlight = entry.getValue(); + if (java.util.Objects.equals(inFlight.key, key) + && !stateElementIds.contains(entry.getKey())) { + toCancelIds.add(entry.getKey()); + } + } + + for (Object cancelId : toCancelIds) { + InFlightElement<OutputT> inFlight = activeElements.get(cancelId); + if (inFlight != null) { + inFlight.future.cancel(true); Review Comment:  The cancellation logic calls `inFlight.future.cancel(true)`. In Java, `CompletableFuture.cancel(boolean mayInterruptIfRunning)` does **not** interrupt the thread executing the task, even if `mayInterruptIfRunning` is set to `true`. The background thread executing the wrapped `DoFn` will continue to run to completion, wasting CPU resources and potentially causing side effects, although its outputs will be ignored.\n\nIf true thread interruption is desired to stop the background task immediately, you should submit the task to the `ExecutorService` directly using `submit()`, which returns a standard `Future` whose `cancel(true)` method does support thread interruption, and then wrap or coordinate that with the `CompletableFuture`. ########## sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/AsyncDoFn.java: ########## @@ -0,0 +1,749 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.sdk.transforms; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.CompletionException; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.concurrent.TimeUnit; +import java.util.concurrent.atomic.AtomicInteger; +import java.util.concurrent.locks.ReentrantLock; +import org.apache.beam.sdk.coders.Coder; +import org.apache.beam.sdk.options.PipelineOptions; +import org.apache.beam.sdk.state.BagState; +import org.apache.beam.sdk.state.StateSpec; +import org.apache.beam.sdk.state.StateSpecs; +import org.apache.beam.sdk.state.TimeDomain; +import org.apache.beam.sdk.state.Timer; +import org.apache.beam.sdk.state.TimerSpec; +import org.apache.beam.sdk.state.TimerSpecs; +import org.apache.beam.sdk.transforms.reflect.DoFnInvoker; +import org.apache.beam.sdk.transforms.reflect.DoFnInvokers; +import org.apache.beam.sdk.transforms.windowing.BoundedWindow; +import org.apache.beam.sdk.transforms.windowing.GlobalWindow; +import org.apache.beam.sdk.values.KV; +import org.apache.beam.sdk.values.TupleTag; +import org.checkerframework.checker.nullness.qual.Nullable; +import org.joda.time.Duration; +import org.joda.time.Instant; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * Class that wraps a dofn and converts it from one which process elements synchronously to one + * which processes them asynchronously. + * + * <p>For synchronous dofns the default settings mean that many (100s) of elements will be processed + * in parallel and that processing an element will block all other work on that key. In addition + * runners are optimized for latencies less than a few seconds and longer operations can result in + * high retry rates. Async should be considered when the default parallelism is not correct and/or + * items are expected to take longer than a few seconds to process. + * + * <p>/* NOTE: 1) The wrapped syncFn REQUIRES thread-safety if BOTH parallelism > 1 and the DoFn is + * stateful. 2) Tagged output multi-outputs are unsupported. 3) StartBundle/finishBundle are invoked + * per element so any batching or aggregation logic will not behave as expected. + */ +public class AsyncDoFn<K, InputT, OutputT> extends DoFn<KV<K, InputT>, OutputT> { + + private static final Logger LOG = LoggerFactory.getLogger(AsyncDoFn.class); + + private static final int DEFAULT_MIN_BUFFER_CAPACITY = 10; + private static final int DEFAULT_TIMEOUT_SEC = 1; + private static final int DEFAULT_MAX_WAIT_TIME_MS = 500; + private static final int TEARDOWN_AWAIT_SEC = 5; + private static final int INITIAL_BACKOFF_SLEEP_MS = 10; + private static final int BACKPRESSURE_LOG_THRESHOLD_MS = 10000; + + @StateId("to_process") + private final StateSpec<BagState<KV<K, InputT>>> toProcessSpec; + + @TimerId("timer") + private final TimerSpec timerSpec = TimerSpecs.timer(TimeDomain.PROCESSING_TIME); + + private final DoFn<InputT, OutputT> syncFn; + private final int parallelism; + private final Duration timerFrequency; + private final int maxItemsToBuffer; + private final Duration timeout; + private final Duration maxWaitTime; + private final SerializableFunction<InputT, Object> idFn; + private final boolean useThreadPool; + private final String uuid; + + private transient volatile @Nullable PipelineOptions pipelineOptions; + + // Shared JVM-Wide States (Static Registries) + // Map-backed registry holding shared resources across serialized worker instances. Since runners + // clone DoFn instances on the same worker node, static maps ensure safe JVM-wide resource reuse. + private static final ConcurrentHashMap<String, ExecutorService> pool = new ConcurrentHashMap<>(); + // activeElements (processingElements) is global JVM memory (all keys) + private static final ConcurrentHashMap<String, ConcurrentHashMap<Object, InFlightElement<?>>> + processingElements = new ConcurrentHashMap<>(); + private static final ConcurrentHashMap<String, AtomicInteger> itemsInBuffer = + new ConcurrentHashMap<>(); + // Reference counts for cloned instances sharing the same UUID. Coordinates safe, + // leak-free thread pool shutdown during teardown without crashing active sibling clones. + private static final ConcurrentHashMap<String, AtomicInteger> refCounts = + new ConcurrentHashMap<>(); + + // If contention becomes a bottleneck, this can be replaced with per-uuid locks + // in a ConcurrentHashMap + private static final ReentrantLock lock = new ReentrantLock(); + private static final boolean verboseLogging = false; + + private static class TimestampedOutput<T> { + final T value; + final @Nullable Instant timestamp; + + TimestampedOutput(T value, @Nullable Instant timestamp) { + this.value = value; + this.timestamp = timestamp; + } + } + + private static class InFlightElement<OutputT> { + final @Nullable Object key; + final CompletableFuture<List<TimestampedOutput<OutputT>>> future; + + InFlightElement( + @Nullable Object key, CompletableFuture<List<TimestampedOutput<OutputT>>> future) { + this.key = key; + this.future = future; + } + } + + // The In-Memory Accumulating Receiver + // Accumulates elements in-memory during asynchronous background worker execution. + // Buffered elements are only committed downstream once the parent task completes successfully + // and the timer fires. + private static class AccumulatingOutputReceiver<T> implements OutputReceiver<T> { + private final List<TimestampedOutput<T>> outputs = + Collections.synchronizedList(new ArrayList<>()); Review Comment:  `AccumulatingOutputReceiver` uses `Collections.synchronizedList(new ArrayList<>())` to store outputs. However, in `getOutputs()`, it iterates over this list using an enhanced for-loop without synchronizing on the list instance. According to the Java documentation for `Collections.synchronizedList`, iterating over a synchronized list without manual synchronization on the list object is not thread-safe and can throw `ConcurrentModificationException` or cause race conditions if another thread is concurrently adding to the list.\n\nTo make this fully thread-safe and lock-free, we should use `ConcurrentLinkedQueue` instead of a synchronized list. ```suggestion private final java.util.concurrent.ConcurrentLinkedQueue<TimestampedOutput<T>> outputs = new java.util.concurrent.ConcurrentLinkedQueue<>(); ``` ########## sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/AsyncDoFn.java: ########## @@ -0,0 +1,749 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.sdk.transforms; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.CompletionException; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.concurrent.TimeUnit; +import java.util.concurrent.atomic.AtomicInteger; +import java.util.concurrent.locks.ReentrantLock; +import org.apache.beam.sdk.coders.Coder; +import org.apache.beam.sdk.options.PipelineOptions; +import org.apache.beam.sdk.state.BagState; +import org.apache.beam.sdk.state.StateSpec; +import org.apache.beam.sdk.state.StateSpecs; +import org.apache.beam.sdk.state.TimeDomain; +import org.apache.beam.sdk.state.Timer; +import org.apache.beam.sdk.state.TimerSpec; +import org.apache.beam.sdk.state.TimerSpecs; +import org.apache.beam.sdk.transforms.reflect.DoFnInvoker; +import org.apache.beam.sdk.transforms.reflect.DoFnInvokers; +import org.apache.beam.sdk.transforms.windowing.BoundedWindow; +import org.apache.beam.sdk.transforms.windowing.GlobalWindow; +import org.apache.beam.sdk.values.KV; +import org.apache.beam.sdk.values.TupleTag; +import org.checkerframework.checker.nullness.qual.Nullable; +import org.joda.time.Duration; +import org.joda.time.Instant; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * Class that wraps a dofn and converts it from one which process elements synchronously to one + * which processes them asynchronously. + * + * <p>For synchronous dofns the default settings mean that many (100s) of elements will be processed + * in parallel and that processing an element will block all other work on that key. In addition + * runners are optimized for latencies less than a few seconds and longer operations can result in + * high retry rates. Async should be considered when the default parallelism is not correct and/or + * items are expected to take longer than a few seconds to process. + * + * <p>/* NOTE: 1) The wrapped syncFn REQUIRES thread-safety if BOTH parallelism > 1 and the DoFn is + * stateful. 2) Tagged output multi-outputs are unsupported. 3) StartBundle/finishBundle are invoked + * per element so any batching or aggregation logic will not behave as expected. + */ +public class AsyncDoFn<K, InputT, OutputT> extends DoFn<KV<K, InputT>, OutputT> { + + private static final Logger LOG = LoggerFactory.getLogger(AsyncDoFn.class); + + private static final int DEFAULT_MIN_BUFFER_CAPACITY = 10; + private static final int DEFAULT_TIMEOUT_SEC = 1; + private static final int DEFAULT_MAX_WAIT_TIME_MS = 500; + private static final int TEARDOWN_AWAIT_SEC = 5; + private static final int INITIAL_BACKOFF_SLEEP_MS = 10; + private static final int BACKPRESSURE_LOG_THRESHOLD_MS = 10000; + + @StateId("to_process") + private final StateSpec<BagState<KV<K, InputT>>> toProcessSpec; + + @TimerId("timer") + private final TimerSpec timerSpec = TimerSpecs.timer(TimeDomain.PROCESSING_TIME); + + private final DoFn<InputT, OutputT> syncFn; + private final int parallelism; + private final Duration timerFrequency; + private final int maxItemsToBuffer; + private final Duration timeout; + private final Duration maxWaitTime; + private final SerializableFunction<InputT, Object> idFn; + private final boolean useThreadPool; + private final String uuid; + + private transient volatile @Nullable PipelineOptions pipelineOptions; + + // Shared JVM-Wide States (Static Registries) + // Map-backed registry holding shared resources across serialized worker instances. Since runners + // clone DoFn instances on the same worker node, static maps ensure safe JVM-wide resource reuse. + private static final ConcurrentHashMap<String, ExecutorService> pool = new ConcurrentHashMap<>(); + // activeElements (processingElements) is global JVM memory (all keys) + private static final ConcurrentHashMap<String, ConcurrentHashMap<Object, InFlightElement<?>>> + processingElements = new ConcurrentHashMap<>(); + private static final ConcurrentHashMap<String, AtomicInteger> itemsInBuffer = + new ConcurrentHashMap<>(); + // Reference counts for cloned instances sharing the same UUID. Coordinates safe, + // leak-free thread pool shutdown during teardown without crashing active sibling clones. + private static final ConcurrentHashMap<String, AtomicInteger> refCounts = + new ConcurrentHashMap<>(); + + // If contention becomes a bottleneck, this can be replaced with per-uuid locks + // in a ConcurrentHashMap + private static final ReentrantLock lock = new ReentrantLock(); Review Comment:  The lock used for synchronization is a static `ReentrantLock`. Because this lock is static, all instances of `AsyncDoFn` across the entire JVM (including completely unrelated transforms in the same pipeline) will contend for this single lock. This can severely limit throughput and cause thread starvation under high load.\n\nSince all shared states are already keyed by `uuid`, we only need to synchronize accesses for the same `uuid`. We can resolve this by maintaining a map of locks per `uuid` and retrieving the lock dynamically. ```java private static final ConcurrentHashMap<String, ReentrantLock> locks = new ConcurrentHashMap<>(); private ReentrantLock getLock() { return locks.computeIfAbsent(uuid, k -> new ReentrantLock()); } ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
