hililiwei commented on code in PR #7360:
URL: https://github.com/apache/iceberg/pull/7360#discussion_r1170075035


##########
flink/v1.17/flink/src/main/java/org/apache/iceberg/flink/sink/shuffle/DataStatisticsCoordinator.java:
##########
@@ -0,0 +1,324 @@
+/*
+ * 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.iceberg.flink.sink.shuffle;
+
+import java.util.concurrent.CompletableFuture;
+import java.util.concurrent.CompletionException;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.TimeUnit;
+import org.apache.flink.runtime.operators.coordination.OperatorCoordinator;
+import org.apache.flink.runtime.operators.coordination.OperatorEvent;
+import org.apache.flink.util.ExceptionUtils;
+import org.apache.flink.util.FlinkException;
+import org.apache.flink.util.InstantiationUtil;
+import org.apache.flink.util.Preconditions;
+import org.apache.flink.util.function.ThrowingRunnable;
+import 
org.apache.iceberg.relocated.com.google.common.annotations.VisibleForTesting;
+import org.jetbrains.annotations.Nullable;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * DataStatisticsCoordinator receives {@link DataStatisticsEvent} from {@link
+ * DataStatisticsOperator} every subtask and then merge them together. Once 
aggregation for all
+ * subtasks data statistics completes, DataStatisticsCoordinator will send the 
aggregation
+ * result(global data statistics) back to {@link DataStatisticsOperator}. In 
the end a custom
+ * partitioner will distribute traffic based on the global data statistics to 
improve data
+ * clustering.
+ */
+class DataStatisticsCoordinator<K> implements OperatorCoordinator {
+  private static final Logger LOG = 
LoggerFactory.getLogger(DataStatisticsCoordinator.class);
+
+  private static final double EXPECTED_DATA_STATISTICS_RECEIVED_PERCENTAGE = 
0.8;
+
+  private final String operatorName;
+  // A single-thread executor to handle all the actions for coordinator
+  private final ExecutorService coordinatorExecutor;
+  private final DataStatisticsCoordinatorContext<K> context;
+  private final DataStatisticsFactory<K> statisticsFactory;
+
+  private volatile AggregateDataStatistics<K> 
incompleteAggregateDataStatistics;
+  private volatile AggregateDataStatistics<K> completeAggregateDataStatistics;
+  private volatile boolean started;
+
+  DataStatisticsCoordinator(
+      String operatorName,
+      ExecutorService coordinatorExecutor,
+      DataStatisticsCoordinatorContext<K> context,
+      DataStatisticsFactory<K> statisticsFactory) {
+    this.operatorName = operatorName;
+    this.coordinatorExecutor = coordinatorExecutor;
+    this.context = context;
+    this.statisticsFactory = statisticsFactory;
+  }
+
+  @Override
+  public void start() throws Exception {
+    LOG.info("Starting data statistics coordinator for {}.", operatorName);
+    started = true;
+  }
+
+  @Override
+  public void close() throws Exception {
+    LOG.info("Closing data statistics coordinator for {}.", operatorName);
+    try {
+      if (started) {
+        context.close();
+      }
+    } finally {
+      coordinatorExecutor.shutdownNow();
+      // We do not expect this to actually block for long. At this point, 
there should
+      // be very few task running in the executor, if any.
+      coordinatorExecutor.awaitTermination(Long.MAX_VALUE, TimeUnit.SECONDS);
+    }
+  }
+
+  private void runInCoordinatorThread(
+      ThrowingRunnable<Throwable> action, String actionName, Object... 
actionNameFormatParameters) {
+    ensureStarted();
+    coordinatorExecutor.execute(
+        () -> {
+          try {
+            action.run();
+          } catch (Throwable t) {
+            // if we have a JVM critical error, promote it immediately, there 
is a good
+            // chance the logging or job failing will not succeed anymore
+            ExceptionUtils.rethrowIfFatalErrorOrOOM(t);
+
+            final String actionString = String.format(actionName, 
actionNameFormatParameters);
+            LOG.error(
+                "Uncaught exception in the data statistics {} while {}. 
Triggering job failover.",
+                operatorName,
+                actionString,
+                t);
+            context.failJob(t);
+          }
+        });
+  }
+
+  private void ensureStarted() {
+    if (!this.started) {
+      throw new IllegalStateException("The coordinator has not started yet.");
+    }
+  }
+
+  private void handleDataStatisticRequest(int subtask, DataStatisticsEvent<K> 
event) {
+    long checkpointId = event.checkpointId();
+
+    if (completeAggregateDataStatistics != null
+        && completeAggregateDataStatistics.checkpointId() >= checkpointId) {
+      LOG.debug(
+          "Data statistics aggregation for checkpoint {} has completed. Ignore 
the event from subtask {} for checkpoint {}",
+          completeAggregateDataStatistics.checkpointId(),
+          subtask,
+          checkpointId);
+      return;
+    }
+
+    if (incompleteAggregateDataStatistics == null) {
+      incompleteAggregateDataStatistics =
+          new AggregateDataStatistics<>(checkpointId, statisticsFactory);
+    }
+
+    if (incompleteAggregateDataStatistics.checkpointId() < checkpointId) {
+      if ((double) incompleteAggregateDataStatistics.aggregateSize() / 
context.currentParallelism()
+          >= EXPECTED_DATA_STATISTICS_RECEIVED_PERCENTAGE) {
+        completeAggregateDataStatistics = incompleteAggregateDataStatistics;
+        LOG.info(
+            "Received data statistics from {} operators out of total {} for 
checkpoint {}. It's more than the expected percentage {}. Thus sending the 
aggregate data statistics {} to subtasks.",
+            incompleteAggregateDataStatistics.aggregateSize(),
+            context.currentParallelism(),
+            incompleteAggregateDataStatistics.checkpointId(),
+            EXPECTED_DATA_STATISTICS_RECEIVED_PERCENTAGE,
+            completeAggregateDataStatistics);
+        incompleteAggregateDataStatistics =
+            new AggregateDataStatistics<>(checkpointId, statisticsFactory);
+        incompleteAggregateDataStatistics.mergeDataStatistic(subtask, event);
+        context.sendDataStatisticsToSubtasks(
+            incompleteAggregateDataStatistics.checkpointId(),
+            completeAggregateDataStatistics.dataStatistics());
+        return;
+      } else {
+        LOG.info(
+            "Received data statistics from {} operators out of total {} for 
checkpoint {}. It's less than the expected percentage {}. Thus dropping the 
incomplete aggregate data statistics {} and starting collecting data statistics 
from new checkpoint {}",
+            incompleteAggregateDataStatistics.aggregateSize(),
+            context.currentParallelism(),
+            incompleteAggregateDataStatistics.checkpointId(),
+            EXPECTED_DATA_STATISTICS_RECEIVED_PERCENTAGE,
+            incompleteAggregateDataStatistics,
+            checkpointId);
+        incompleteAggregateDataStatistics =
+            new AggregateDataStatistics<>(checkpointId, statisticsFactory);
+        incompleteAggregateDataStatistics.mergeDataStatistic(subtask, event);
+      }
+    } else if (incompleteAggregateDataStatistics.checkpointId() > 
checkpointId) {
+      LOG.debug(
+          "Expect data statistics for checkpoint {}, but receive event from 
older checkpoint {}. Ignore it.",
+          incompleteAggregateDataStatistics.checkpointId(),
+          checkpointId);
+      return;
+    } else {
+      incompleteAggregateDataStatistics.mergeDataStatistic(subtask, event);
+    }
+
+    if (incompleteAggregateDataStatistics.aggregateSize() == 
context.currentParallelism()) {
+      completeAggregateDataStatistics = incompleteAggregateDataStatistics;
+      LOG.info(
+          "Received data statistics from all {} operators for checkpoint {}. 
Sending the aggregated data statistics {} to subtasks.",
+          context.currentParallelism(),
+          incompleteAggregateDataStatistics.checkpointId(),
+          completeAggregateDataStatistics);
+      incompleteAggregateDataStatistics = null;
+      context.sendDataStatisticsToSubtasks(
+          checkpointId, completeAggregateDataStatistics.dataStatistics());
+    }
+  }
+
+  @Override
+  @SuppressWarnings("unchecked")
+  public void handleEventFromOperator(int subtask, int attemptNumber, 
OperatorEvent event) {
+    runInCoordinatorThread(
+        () -> {
+          LOG.debug(
+              "Handling event from subtask {} (#{}) of {}: {}",
+              subtask,
+              attemptNumber,
+              operatorName,
+              event);
+          if (event instanceof DataStatisticsEvent) {
+            handleDataStatisticRequest(subtask, ((DataStatisticsEvent<K>) 
event));
+          } else {
+            throw new FlinkException("Unrecognized data statistics operator 
event: " + event);
+          }
+        },
+        "handling operator event %s from data statistics operator subtask %d 
(#%d)",
+        event,
+        subtask,
+        attemptNumber);
+  }
+
+  @Override
+  public void checkpointCoordinator(long checkpointId, 
CompletableFuture<byte[]> resultFuture) {
+    runInCoordinatorThread(
+        () -> {
+          LOG.debug(
+              "Taking a state snapshot on data statistics coordinator {} for 
checkpoint {}",
+              operatorName,
+              checkpointId);
+          try {
+            byte[] serializedDataDistributionWeight =
+                
InstantiationUtil.serializeObject(completeAggregateDataStatistics);
+            resultFuture.complete(serializedDataDistributionWeight);
+          } catch (Throwable e) {
+            ExceptionUtils.rethrowIfFatalErrorOrOOM(e);
+            resultFuture.completeExceptionally(
+                new CompletionException(
+                    String.format("Failed to checkpoint data statistics for 
%s", operatorName), e));
+          }
+        },
+        "taking checkpoint %d",
+        checkpointId);
+  }
+
+  @Override
+  public void notifyCheckpointComplete(long checkpointId) {}
+
+  @Override
+  public void notifyCheckpointAborted(long checkpointId) {}
+
+  @Override
+  public void resetToCheckpoint(long checkpointId, @Nullable byte[] 
checkpointData)
+      throws Exception {
+    if (started) {
+      throw new IllegalStateException(
+          "The coordinator can only be reset if it was not yet started");
+    }
+
+    if (checkpointData == null) {
+      return;
+    }
+
+    LOG.info(
+        "Restoring data statistic coordinator {} from checkpoint {}.", 
operatorName, checkpointId);
+    completeAggregateDataStatistics =
+        InstantiationUtil.deserializeObject(
+            checkpointData, AggregateDataStatistics.class.getClassLoader());
+  }
+
+  @Override
+  public void subtaskReset(int subtask, long checkpointId) {
+    this.runInCoordinatorThread(
+        () -> {
+          LOG.info(
+              "Resetting subtask {} to checkpoint {} for data statistics {}.",
+              subtask,
+              checkpointId,
+              this.operatorName);
+          this.context.subtaskReset(subtask);
+        },
+        "handling subtask %d recovery to checkpoint %d",
+        subtask,
+        checkpointId);
+  }
+
+  @Override
+  public void executionAttemptFailed(int subtask, int attemptNumber, @Nullable 
Throwable reason) {
+    this.runInCoordinatorThread(

Review Comment:
   same



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