kengtin commented on code in PR #7161:
URL: https://github.com/apache/iceberg/pull/7161#discussion_r1174613739


##########
flink/v1.16/flink/src/main/java/org/apache/iceberg/flink/sink/BucketPartitionerUtils.java:
##########
@@ -0,0 +1,97 @@
+/*
+ * 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;
+
+import java.util.List;
+import java.util.Objects;
+import java.util.stream.Collectors;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.iceberg.PartitionSpec;
+import org.apache.iceberg.transforms.PartitionSpecVisitor;
+
+final class BucketPartitionerUtils {
+  static final String BAD_NUMBER_OF_BUCKETS_ERROR_MESSAGE =
+      "Expected 1 Bucket transform in the provided PartitionSpec, found: ";
+
+  private BucketPartitionerUtils() {}
+
+  public static boolean hasOneBucketField(PartitionSpec partitionSpec) {
+    List<Tuple2<Integer, Integer>> bucketFields = 
getBucketFields(partitionSpec);
+    return bucketFields != null && bucketFields.size() == 1;
+  }
+
+  public static List<Tuple2<Integer, Integer>> getBucketFields(PartitionSpec 
spec) {
+    return PartitionSpecVisitor.visit(
+            spec,
+            new PartitionSpecVisitor<Tuple2<Integer, Integer>>() {

Review Comment:
   Sure, I was just following the same convention of the `Partitioning` 
implementation



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