stevenzwu commented on code in PR #10457:
URL: https://github.com/apache/iceberg/pull/10457#discussion_r1673146433


##########
flink/v1.19/flink/src/main/java/org/apache/iceberg/flink/sink/shuffle/RangePartitioner.java:
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@@ -0,0 +1,110 @@
+/*
+ * 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.Random;
+import java.util.concurrent.atomic.AtomicLong;
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.api.common.functions.Partitioner;
+import org.apache.flink.table.data.RowData;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.SortOrder;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/** The wrapper class */
+@Internal
+public class RangePartitioner implements Partitioner<StatisticsOrRecord> {
+  private static final Logger LOG = 
LoggerFactory.getLogger(RangePartitioner.class);
+
+  private final Schema schema;
+  private final SortOrder sortOrder;
+
+  private transient AtomicLong roundRobinCounter;
+  private transient Partitioner<RowData> delegatePartitioner;
+
+  public RangePartitioner(Schema schema, SortOrder sortOrder) {
+    this.schema = schema;
+    this.sortOrder = sortOrder;
+  }
+
+  @Override
+  public int partition(StatisticsOrRecord wrapper, int numPartitions) {
+    if (wrapper.hasStatistics()) {
+      this.delegatePartitioner = delegatePartitioner(wrapper.statistics());
+      return (int) (roundRobinCounter(numPartitions).getAndIncrement() % 
numPartitions);
+    } else {
+      if (delegatePartitioner != null) {
+        return delegatePartitioner.partition(wrapper.record(), numPartitions);
+      } else {
+        int partition = (int) 
(roundRobinCounter(numPartitions).getAndIncrement() % numPartitions);
+        LOG.trace("Statistics not available. Round robin to partition {}", 
partition);
+        return partition;
+      }
+    }
+  }
+
+  private AtomicLong roundRobinCounter(int numPartitions) {
+    if (roundRobinCounter == null) {
+      // randomize the starting point to avoid synchronization across subtasks
+      this.roundRobinCounter = new AtomicLong(new 
Random().nextInt(numPartitions));
+    }
+
+    return roundRobinCounter;
+  }
+
+  private Partitioner<RowData> delegatePartitioner(GlobalStatistics 
statistics) {
+    if (statistics.type() == StatisticsType.Map) {
+      return new MapRangePartitioner(schema, sortOrder, 
statistics.mapAssignment());
+    } else if (statistics.type() == StatisticsType.Sketch) {
+      return new SketchRangePartitioner(schema, sortOrder, 
statistics.rangeBounds());
+    } else {
+      throw new IllegalArgumentException(
+          String.format("Invalid statistics type: %s. Should be Map or 
Sketch", statistics.type()));
+    }
+  }

Review Comment:
   `GlobalStatistics` is global in the sense it is aggregated statistics by 
coordinator. We have a facade/proxy partitioner that would delegate the 
partition decision to underline partitioner based on the statistics type. 



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