pvary commented on code in PR #8553:
URL: https://github.com/apache/iceberg/pull/8553#discussion_r1401784310


##########
flink/v1.17/flink/src/main/java/org/apache/iceberg/flink/source/reader/ColumnStatsWatermarkExtractor.java:
##########
@@ -0,0 +1,98 @@
+/*
+ * 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.source.reader;
+
+import java.io.Serializable;
+import java.util.Comparator;
+import java.util.concurrent.TimeUnit;
+import org.apache.flink.annotation.Internal;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.flink.source.split.IcebergSourceSplit;
+import 
org.apache.iceberg.relocated.com.google.common.annotations.VisibleForTesting;
+import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
+import org.apache.iceberg.types.Conversions;
+import org.apache.iceberg.types.Type.TypeID;
+import org.apache.iceberg.types.Types;
+
+/**
+ * {@link SplitWatermarkExtractor} implementation which uses an Iceberg 
timestamp column statistics
+ * to get the watermarks for the {@link IcebergSourceSplit}. This watermark is 
emitted by the {@link
+ * WatermarkExtractorRecordEmitter} along with the actual records.
+ */
+@Internal
+public class ColumnStatsWatermarkExtractor implements SplitWatermarkExtractor, 
Serializable {
+  private final int eventTimeFieldId;
+  private final String eventTimeFieldName;
+  private final TimeUnit timeUnit;
+
+  /**
+   * Creates the extractor.
+   *
+   * @param schema The schema of the Table
+   * @param eventTimeFieldName The column which should be used as an event time
+   * @param timeUnit Used for converting the long value to epoch milliseconds
+   */
+  public ColumnStatsWatermarkExtractor(
+      Schema schema, String eventTimeFieldName, TimeUnit timeUnit) {
+    Types.NestedField field = schema.findField(eventTimeFieldName);
+    TypeID typeID = field.type().typeId();
+    Preconditions.checkArgument(
+        typeID.equals(TypeID.LONG) || typeID.equals(TypeID.TIMESTAMP),
+        "Found %s, expected a LONG or TIMESTAMP column for watermark 
generation.",
+        typeID);
+    this.eventTimeFieldId = field.fieldId();
+    this.eventTimeFieldName = eventTimeFieldName;
+    // Use the timeUnit only for Long columns.
+    this.timeUnit = typeID.equals(TypeID.LONG) ? timeUnit : 
TimeUnit.MICROSECONDS;
+  }
+
+  @VisibleForTesting
+  ColumnStatsWatermarkExtractor(int eventTimeFieldId, String 
eventTimeFieldName) {
+    this.eventTimeFieldId = eventTimeFieldId;
+    this.eventTimeFieldName = eventTimeFieldName;
+    this.timeUnit = TimeUnit.MICROSECONDS;
+  }
+
+  /**
+   * Get the watermark for a split using column statistics.
+   *
+   * @param split The split
+   * @return The watermark
+   * @throws IllegalArgumentException if there is no statistics for the column
+   */
+  @Override
+  public long extractWatermark(IcebergSourceSplit split) {
+    return split.task().files().stream()
+        .map(
+            scanTask -> {
+              Preconditions.checkArgument(
+                  scanTask.file().lowerBounds() != null
+                      && scanTask.file().lowerBounds().get(eventTimeFieldId) 
!= null,
+                  "Missing statistics for columnName = %s, columnId = %s in 
file = %s",

Review Comment:
   Done



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