Add parallelismConfigured

paimon-flink/paimon-flink-1.15/src/main/java/org/apache/paimon/flink/utils/ParallelismUtils.java

@@ -0,0 +1,35 @@
+/*
+ * 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.paimon.flink.utils;
+
+import org.apache.flink.api.dag.Transformation;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+
+/** Utility methods about Flink operator parallelism to resolve compatibility issues. */
+public class ParallelismUtils {
+    /**
+     * Configures the parallelism of the target stream to be the same as the source stream. In Flink
+     * 1.17+, this method will also configure {@link Transformation#isParallelismConfigured()}.
+     */
+    public static void forwardParallelism(
+            SingleOutputStreamOperator<?> targetStream, DataStream<?> sourceStream) {
+        targetStream.setParallelism(sourceStream.getParallelism());
+    }
+}

paimon-flink/paimon-flink-1.16/src/main/java/org/apache/paimon/flink/utils/ParallelismUtils.java

@@ -0,0 +1,35 @@
+/*
+ * 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.paimon.flink.utils;
+
+import org.apache.flink.api.dag.Transformation;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+
+/** Utility methods about Flink operator parallelism to resolve compatibility issues. */
+public class ParallelismUtils {
+    /**
+     * Configures the parallelism of the target stream to be the same as the source stream. In Flink
+     * 1.17+, this method will also configure {@link Transformation#isParallelismConfigured()}.
+     */
+    public static void forwardParallelism(
+            SingleOutputStreamOperator<?> targetStream, DataStream<?> sourceStream) {
+        targetStream.setParallelism(sourceStream.getParallelism());
+    }
+}

paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/sink/cdc/CdcSinkBuilder.java

@@ -35,6 +35,7 @@
 import javax.annotation.Nullable;
 
 import static org.apache.paimon.flink.sink.FlinkStreamPartitioner.partition;
+import static org.apache.paimon.flink.utils.ParallelismUtils.forwardParallelism;
 
 /**
  * Builder for sink when syncing records into one Paimon table.
@@ -99,8 +100,8 @@ public DataStreamSink<?> build() {
         SingleOutputStreamOperator<CdcRecord> parsed =
                 input.forward()
                         .process(new CdcParsingProcessFunction<>(parserFactory))
-                        .name("Side Output")
-                        .setParallelism(input.getParallelism());
+                        .name("Side Output");
+        forwardParallelism(parsed, input);
 
         DataStream<Void> schemaChangeProcessFunction =
                 SingleOutputStreamOperatorUtils.getSideOutput(

paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/sink/cdc/FlinkCdcMultiTableSink.java

@@ -49,6 +49,7 @@
 
 import static org.apache.paimon.flink.sink.FlinkSink.assertStreamingConfiguration;
 import static org.apache.paimon.flink.sink.FlinkSink.configureGlobalCommitter;
+import static org.apache.paimon.flink.utils.ParallelismUtils.forwardParallelism;
 
 /**
  * A {@link FlinkSink} which accepts {@link CdcRecord} and waits for a schema change if necessary.
@@ -109,10 +110,8 @@ public DataStreamSink<?> sinkFrom(
         MultiTableCommittableTypeInfo typeInfo = new MultiTableCommittableTypeInfo();
         SingleOutputStreamOperator<MultiTableCommittable> written =
                 input.transform(
-                                WRITER_NAME,
-                                typeInfo,
-                                createWriteOperator(sinkProvider, commitUser))
-                        .setParallelism(input.getParallelism());
+                        WRITER_NAME, typeInfo, createWriteOperator(sinkProvider, commitUser));
+        forwardParallelism(written, input);
 
         // shuffle committables by table
         DataStream<MultiTableCommittable> partitioned =
@@ -122,17 +121,16 @@ public DataStreamSink<?> sinkFrom(
                         input.getParallelism());
 
         SingleOutputStreamOperator<?> committed =
-                partitioned
-                        .transform(
-                                GLOBAL_COMMITTER_NAME,
-                                typeInfo,
-                                new CommitterOperatorFactory<>(
-                                        true,
-                                        false,
-                                        commitUser,
-                                        createCommitterFactory(),
-                                        createCommittableStateManager()))
-                        .setParallelism(input.getParallelism());
+                partitioned.transform(
+                        GLOBAL_COMMITTER_NAME,
+                        typeInfo,
+                        new CommitterOperatorFactory<>(
+                                true,
+                                false,
+                                commitUser,
+                                createCommitterFactory(),
+                                createCommittableStateManager()));
+        forwardParallelism(committed, input);
         configureGlobalCommitter(committed, commitCpuCores, commitHeapMemory);
         return committed.sinkTo(new DiscardingSink<>()).name("end").setParallelism(1);
     }

paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/sink/cdc/FlinkCdcSyncDatabaseSinkBuilder.java

@@ -43,6 +43,7 @@
 import static org.apache.paimon.CoreOptions.createCommitUser;
 import static org.apache.paimon.flink.action.MultiTablesSinkMode.COMBINED;
 import static org.apache.paimon.flink.sink.FlinkStreamPartitioner.partition;
+import static org.apache.paimon.flink.utils.ParallelismUtils.forwardParallelism;
 
 /**
  * Builder for CDC {@link FlinkWriteSink} when syncing the whole database into one Paimon database.
@@ -140,8 +141,8 @@ private void buildCombinedCdcSink() {
                         .process(
                                 new CdcDynamicTableParsingProcessFunction<>(
                                         database, catalogLoader, parserFactory))
-                        .name("Side Output")
-                        .setParallelism(input.getParallelism());
+                        .name("Side Output");
+        forwardParallelism(parsed, input);
 
         // for newly-added tables, create a multiplexing operator that handles all their records
         //     and writes to multiple tables
@@ -188,8 +189,8 @@ private void buildDividedCdcSink() {
         SingleOutputStreamOperator<Void> parsed =
                 input.forward()
                         .process(new CdcMultiTableParsingProcessFunction<>(parserFactory))
-                        .name("Side Output")
-                        .setParallelism(input.getParallelism());
+                        .name("Side Output");
+        forwardParallelism(parsed, input);
 
         for (FileStoreTable table : tables) {
             DataStream<Void> schemaChangeProcessFunction =

paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/shuffle/RangeShuffle.java

@@ -111,7 +111,8 @@ public static <T> DataStream<Tuple2<T, RowData>> rangeShuffleByKey(
                         "ABSTRACT KEY AND SIZE",
                         new StreamMap<>(new KeyAndSizeExtractor<>(valueRowType, isSortBySize)),
                         new TupleTypeInfo<>(keyTypeInformation, BasicTypeInfo.INT_TYPE_INFO),
-                        input.getParallelism());
+                        input.getParallelism(),
+                        input.isParallelismConfigured());
 
         // 1. Fixed size sample in each partitions.
         OneInputTransformation<Tuple2<T, Integer>, Tuple3<Double, T, Integer>> localSample =
@@ -123,7 +124,8 @@ public static <T> DataStream<Tuple2<T, RowData>> rangeShuffleByKey(
                                 BasicTypeInfo.DOUBLE_TYPE_INFO,
                                 keyTypeInformation,
                                 BasicTypeInfo.INT_TYPE_INFO),
-                        keyInput.getParallelism());
+                        keyInput.getParallelism(),
+                        keyInput.isParallelismConfigured());
 
         // 2. Collect all the samples and gather them into a sorted key range.
         OneInputTransformation<Tuple3<Double, T, Integer>, List<T>> sampleAndHistogram =
@@ -132,7 +134,8 @@ public static <T> DataStream<Tuple2<T, RowData>> rangeShuffleByKey(
                         "GLOBAL SAMPLE",
                         new GlobalSampleOperator<>(globalSampleSize, keyComparator, rangeNum),
                         new ListTypeInfo<>(keyTypeInformation),
-                        1);
+                        1,
+                        true);
 
         // 3. Take range boundaries as broadcast input and take the tuple of partition id and
         // record as output.
@@ -153,7 +156,8 @@ public static <T> DataStream<Tuple2<T, RowData>> rangeShuffleByKey(
                                 new AssignRangeIndexOperator<>(keyComparator),
                                 new TupleTypeInfo<>(
                                         BasicTypeInfo.INT_TYPE_INFO, input.getOutputType()),
-                                input.getParallelism());
+                                input.getParallelism(),
+                                input.isParallelismConfigured());
 
         // 4. Remove the partition id. (shuffle according range partition)
         return new DataStream<>(
@@ -168,7 +172,8 @@ public static <T> DataStream<Tuple2<T, RowData>> rangeShuffleByKey(
                         "REMOVE RANGE INDEX",
                         new RemoveRangeIndexOperator<>(),
                         input.getOutputType(),
-                        outParallelism));
+                        outParallelism,
+                        true));
     }
 
     /** KeyAndSizeExtractor is responsible for extracting the sort key and row size. */

paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/sink/CombinedTableCompactorSink.java

@@ -47,6 +47,7 @@
 import static org.apache.paimon.flink.sink.FlinkSink.assertBatchAdaptiveParallelism;
 import static org.apache.paimon.flink.sink.FlinkSink.assertStreamingConfiguration;
 import static org.apache.paimon.flink.utils.ManagedMemoryUtils.declareManagedMemory;
+import static org.apache.paimon.flink.utils.ParallelismUtils.forwardParallelism;
 
 /** A sink for processing multi-tables in dedicated compaction job. */
 public class CombinedTableCompactorSink implements Serializable {
@@ -103,25 +104,23 @@ public DataStream<MultiTableCommittable> doWrite(
                         == RuntimeExecutionMode.STREAMING;
 
         SingleOutputStreamOperator<MultiTableCommittable> multiBucketTableRewriter =
-                awareBucketTableSource
-                        .transform(
-                                String.format("%s-%s", "Multi-Bucket-Table", WRITER_NAME),
-                                new MultiTableCommittableTypeInfo(),
-                                combinedMultiCompactionWriteOperator(
-                                        env.getCheckpointConfig(),
-                                        isStreaming,
-                                        fullCompaction,
-                                        commitUser))
-                        .setParallelism(awareBucketTableSource.getParallelism());
+                awareBucketTableSource.transform(
+                        String.format("%s-%s", "Multi-Bucket-Table", WRITER_NAME),
+                        new MultiTableCommittableTypeInfo(),
+                        combinedMultiCompactionWriteOperator(
+                                env.getCheckpointConfig(),
+                                isStreaming,
+                                fullCompaction,
+                                commitUser));
+        forwardParallelism(multiBucketTableRewriter, awareBucketTableSource);
 
         SingleOutputStreamOperator<MultiTableCommittable> unawareBucketTableRewriter =
-                unawareBucketTableSource
-                        .transform(
-                                String.format("%s-%s", "Unaware-Bucket-Table", WRITER_NAME),
-                                new MultiTableCommittableTypeInfo(),
-                                new AppendOnlyMultiTableCompactionWorkerOperator.Factory(
-                                        catalogLoader, commitUser, options))
-                        .setParallelism(unawareBucketTableSource.getParallelism());
+                unawareBucketTableSource.transform(
+                        String.format("%s-%s", "Unaware-Bucket-Table", WRITER_NAME),
+                        new MultiTableCommittableTypeInfo(),
+                        new AppendOnlyMultiTableCompactionWorkerOperator.Factory(
+                                catalogLoader, commitUser, options));
+        forwardParallelism(unawareBucketTableRewriter, unawareBucketTableSource);
 
         if (!isStreaming) {
             assertBatchAdaptiveParallelism(env, multiBucketTableRewriter.getParallelism());
@@ -156,18 +155,17 @@ protected DataStreamSink<?> doCommit(
                         new MultiTableCommittableChannelComputer(),
                         written.getParallelism());
         SingleOutputStreamOperator<?> committed =
-                partitioned
-                        .transform(
-                                GLOBAL_COMMITTER_NAME,
-                                new MultiTableCommittableTypeInfo(),
-                                new CommitterOperatorFactory<>(
-                                        streamingCheckpointEnabled,
-                                        false,
-                                        commitUser,
-                                        createCommitterFactory(isStreaming),
-                                        createCommittableStateManager(),
-                                        options.get(END_INPUT_WATERMARK)))
-                        .setParallelism(written.getParallelism());
+                partitioned.transform(
+                        GLOBAL_COMMITTER_NAME,
+                        new MultiTableCommittableTypeInfo(),
+                        new CommitterOperatorFactory<>(
+                                streamingCheckpointEnabled,
+                                false,
+                                commitUser,
+                                createCommitterFactory(isStreaming),
+                                createCommittableStateManager(),
+                                options.get(END_INPUT_WATERMARK)));
+        forwardParallelism(committed, written);
         if (!options.get(SINK_COMMITTER_OPERATOR_CHAINING)) {
             committed = committed.startNewChain();
         }

paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/sink/DynamicBucketCompactSink.java

@@ -26,12 +26,14 @@
 import org.apache.flink.api.java.typeutils.TupleTypeInfo;
 import org.apache.flink.streaming.api.datastream.DataStream;
 import org.apache.flink.streaming.api.datastream.DataStreamSink;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
 
 import javax.annotation.Nullable;
 
 import java.util.Map;
 
 import static org.apache.paimon.CoreOptions.createCommitUser;
+import static org.apache.paimon.flink.utils.ParallelismUtils.forwardParallelism;
 
 /** This class is only used for generate compact sink topology for dynamic bucket table. */
 public class DynamicBucketCompactSink extends RowDynamicBucketSink {
@@ -54,9 +56,9 @@ public DataStreamSink<?> build(DataStream<InternalRow> input, @Nullable Integer
                         initialCommitUser, table, null, extractorFunction(), true);
         TupleTypeInfo<Tuple2<InternalRow, Integer>> rowWithBucketType =
                 new TupleTypeInfo<>(input.getType(), BasicTypeInfo.INT_TYPE_INFO);
-        DataStream<Tuple2<InternalRow, Integer>> bucketAssigned =
-                input.transform("dynamic-bucket-assigner", rowWithBucketType, assignerOperator)
-                        .setParallelism(input.getParallelism());
+        SingleOutputStreamOperator<Tuple2<InternalRow, Integer>> bucketAssigned =
+                input.transform("dynamic-bucket-assigner", rowWithBucketType, assignerOperator);
+        forwardParallelism(bucketAssigned, input);
         return sinkFrom(bucketAssigned, initialCommitUser);
     }
 }

paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/sink/DynamicBucketSink.java

@@ -41,6 +41,7 @@
 import static org.apache.paimon.flink.FlinkConnectorOptions.SINK_OPERATOR_UID_SUFFIX;
 import static org.apache.paimon.flink.FlinkConnectorOptions.generateCustomUid;
 import static org.apache.paimon.flink.sink.FlinkStreamPartitioner.partition;
+import static org.apache.paimon.flink.utils.ParallelismUtils.forwardParallelism;
 
 /** Sink for dynamic bucket table. */
 public abstract class DynamicBucketSink<T> extends FlinkWriteSink<Tuple2<T, Integer>> {
@@ -95,10 +96,9 @@ public DataStreamSink<?> build(DataStream<T> input, @Nullable Integer parallelis
         TupleTypeInfo<Tuple2<T, Integer>> rowWithBucketType =
                 new TupleTypeInfo<>(partitionByKeyHash.getType(), BasicTypeInfo.INT_TYPE_INFO);
         SingleOutputStreamOperator<Tuple2<T, Integer>> bucketAssigned =
-                partitionByKeyHash
-                        .transform(
-                                DYNAMIC_BUCKET_ASSIGNER_NAME, rowWithBucketType, assignerOperator)
-                        .setParallelism(partitionByKeyHash.getParallelism());
+                partitionByKeyHash.transform(
+                        DYNAMIC_BUCKET_ASSIGNER_NAME, rowWithBucketType, assignerOperator);
+        forwardParallelism(bucketAssigned, partitionByKeyHash);
 
         String uidSuffix = table.options().get(SINK_OPERATOR_UID_SUFFIX.key());
         if (!StringUtils.isNullOrWhitespaceOnly(uidSuffix)) {