ajantha-bhat commented on a change in pull request #3538: [CARBONDATA-3637] 
Optimize insert into flow
URL: https://github.com/apache/carbondata/pull/3538#discussion_r376354706
 
 

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 File path: 
integration/spark2/src/main/scala/org/apache/spark/sql/execution/command/management/CarbonLoadParams.scala
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 @@ -0,0 +1,58 @@
+/*
+ * 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.sql.execution.command.management
+
+import java.text.SimpleDateFormat
+import java.util
+
+import scala.collection.mutable
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{DataFrame, SparkSession}
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.execution.command.UpdateTableModel
+import org.apache.spark.sql.execution.datasources.LogicalRelation
+
+import org.apache.carbondata.core.indexstore.PartitionSpec
+import org.apache.carbondata.core.statusmanager.SegmentStatus
+import org.apache.carbondata.core.util.CarbonProperties
+import org.apache.carbondata.events.OperationContext
+import org.apache.carbondata.processing.loading.model.CarbonLoadModel
+
+/*
+* intermediate object to pass between load functions
+*/
+case class CarbonLoadParams(sparkSession: SparkSession,
 
 Review comment:
   load model will become bulky and it is used in other places also, this is 
only for this place

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