liufangqi commented on code in PR #5997:
URL: https://github.com/apache/hudi/pull/5997#discussion_r911576923


##########
hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/sink/utils/Pipelines.java:
##########
@@ -330,17 +330,23 @@ public static DataStream<Object> 
hoodieStreamWrite(Configuration conf, int defau
           .setParallelism(conf.getInteger(FlinkOptions.WRITE_TASKS));
     } else {
       WriteOperatorFactory<HoodieRecord> operatorFactory = 
StreamWriteOperator.getFactory(conf);
-      return dataStream
-          // Key-by record key, to avoid multiple subtasks write to a bucket 
at the same time
-          .keyBy(HoodieRecord::getRecordKey)
-          .transform(
-              "bucket_assigner",
-              TypeInformation.of(HoodieRecord.class),
-              new KeyedProcessOperator<>(new BucketAssignFunction<>(conf)))
-          .uid("uid_bucket_assigner_" + 
conf.getString(FlinkOptions.TABLE_NAME))
-          
.setParallelism(conf.getOptional(FlinkOptions.BUCKET_ASSIGN_TASKS).orElse(defaultParallelism))
-          // shuffle by fileId(bucket id)
-          .keyBy(record -> record.getCurrentLocation().getFileId())
+
+      DataStream<HoodieRecord> bucketDataStream = dataStream
+              // Key-by record key, to avoid multiple subtasks write to a 
bucket at the same time
+              .keyBy(HoodieRecord::getRecordKey)
+              .transform(
+                      "bucket_assigner",
+                      TypeInformation.of(HoodieRecord.class),
+                      new KeyedProcessOperator<>(new 
BucketAssignFunction<>(conf)))
+              .uid("uid_bucket_assigner_" + 
conf.getString(FlinkOptions.TABLE_NAME))
+              
.setParallelism(conf.getOptional(FlinkOptions.BUCKET_ASSIGN_TASKS).orElse(defaultParallelism));
+
+      bucketDataStream = 
conf.getOptional(FlinkOptions.BUCKET_ASSIGN_TASKS).orElse(defaultParallelism) ==
+              conf.getInteger(FlinkOptions.WRITE_TASKS) ? bucketDataStream : 
bucketDataStream
+              // shuffle by fileId(bucket id)
+              .keyBy(record -> record.getCurrentLocation().getFileId());

Review Comment:
   > 
   
   Thanks for your review, actually, the bucket data stream is a keyed stream 
that repartition by hoodie record key.
   If the bucket assgin opeator 's task num equals the write operator's, we 
don't need the repartition which repartition by location. 
   



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