Github user ravipesala commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/2971#discussion_r244681963
--- Diff:
integration/spark-common/src/main/scala/org/apache/spark/DataSkewRangePartitioner.scala
---
@@ -0,0 +1,319 @@
+/*
+ * 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.spark
+
+import java.io.{IOException, ObjectInputStream, ObjectOutputStream}
+
+import scala.collection.mutable
+import scala.collection.mutable.ArrayBuffer
+import scala.reflect.ClassTag
+import scala.util.hashing.byteswap32
+
+import org.apache.spark.rdd.{PartitionPruningRDD, RDD}
+import org.apache.spark.serializer.JavaSerializer
+import org.apache.spark.util.{CollectionsUtils, Utils}
+
+/**
+ * support data skew scenario
+ * copy from spark: RangePartiitoner
+ */
+class DataSkewRangePartitioner[K: Ordering : ClassTag, V](
--- End diff --
Please add the comment how it is different from spark's range partitioner
and how you do skew partitioning
---
