akashrn5 commented on a change in pull request #3856:
URL: https://github.com/apache/carbondata/pull/3856#discussion_r474500375



##########
File path: 
integration/spark/src/main/spark2.3/com/databricks/spark/avro/AvroWriter.scala
##########
@@ -0,0 +1,51 @@
+/*
+ * 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 com.databricks.spark.avro
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.Row
+import org.apache.spark.sql.execution.datasources.OutputWriterFactory
+
+/**
+ * This class is to get the avro writer from databricks avro module, as its 
not present in spark2.3
+ * and spark-avro module is included in spark project from spark-2.4. So for 
spark-2.4, we use Avro
+ * writer from spark project.
+ */
+object AvroWriter {
+
+  def getWriter(spark: org.apache.spark.sql.SparkSession,
+      job: org.apache.hadoop.mapreduce.Job,
+      dataSchema: org.apache.spark.sql.types.StructType,
+      options: scala.Predef.Map[scala.Predef.String, scala.Predef.String] = 
Map.empty)
+  : OutputWriterFactory = {
+    new DefaultSource().prepareWrite(spark, job,
+      options, dataSchema)
+  }
+}
+
+/**
+ * This reds the avro files from the given path and return the RDD[Row]

Review comment:
       done




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