http://git-wip-us.apache.org/repos/asf/carbondata/blob/0ef7e55c/datamap/mv/plan/src/test/scala/org/apache/carbondata/mv/testutil/TestSQLBatch2.scala
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diff --git
a/datamap/mv/plan/src/test/scala/org/apache/carbondata/mv/testutil/TestSQLBatch2.scala
b/datamap/mv/plan/src/test/scala/org/apache/carbondata/mv/testutil/TestSQLBatch2.scala
new file mode 100644
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b/datamap/mv/plan/src/test/scala/org/apache/carbondata/mv/testutil/TestSQLBatch2.scala
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+/*
+ * 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.carbondata.mv.testutil
+
+object TestSQLBatch2 {
+
+ val testSQLBatch2 = Seq[String](
+ s"""
+ |SELECT f1.A,COUNT(*) AS B
+ |FROM
+ | fact f1
+ | JOIN dim d1 ON (f1.K = d1.K)
+ |WHERE f1.E IS NULL AND (f1.C > d1.E OR d1.E = 3)
+ |GROUP BY f1.A
+ """.stripMargin.trim,
+ s"""
+ |SELECT f1.A,COUNT(*) AS B
+ |FROM
+ | fact f1
+ | JOIN dim d1 ON (f1.K = d1.K)
+ | JOIN dim1 d2 ON (f1.K = d2.K AND d2.G > 0)
+ |WHERE f1.E IS NULL AND f1.C > d1.E
+ |GROUP BY f1.A
+ """.stripMargin.trim,
+ s"""
+ |SELECT substr(item.i_item_desc,1,30) itemdesc, item.i_item_sk
item_sk, date_dim.d_date solddate, count(*) cnt
+ |FROM date_dim, store_sales, item
+ |WHERE date_dim.d_date_sk = store_sales.ss_sold_date_sk
+ | AND store_sales.ss_item_sk = item.i_item_sk
+ | AND date_dim.d_year in (2000, 2000+1, 2000+2, 2000+3)
+ |GROUP BY substr(item.i_item_desc,1,30),
item.i_item_sk,date_dim.d_date
+ """.stripMargin.trim,
+ s"""
+ |SELECT item.i_item_desc, item.i_category, item.i_class,
item.i_current_price,
+ | SUM(store_sales.ss_ext_sales_price) as itemrevenue,
+ |
SUM(store_sales.ss_ext_sales_price)*100/sum(sum(store_sales.ss_ext_sales_price))
over (partition by item.i_class) as revenueratio
+ |FROM date_dim, store_sales, item
+ |WHERE date_dim.d_date_sk = store_sales.ss_sold_date_sk
+ | AND store_sales.ss_item_sk = item.i_item_sk
+ | AND item.i_category in ('Sport', 'Books', 'Home')
+ | AND date_dim.d_date between cast('1999-02-22' as date) AND
(cast('1999-02-22' as date) + interval 30 days)
+ |GROUP BY item.i_item_id, item.i_item_desc, item.i_category,
item.i_class, item.i_current_price
+ """.stripMargin.trim,
+ s"""
+ |SELECT 'store' channel, store_sales.ss_store_sk col_name,
date_dim.d_year, date_dim.d_qoy,
+ | item.i_category, SUM(store_sales.ss_ext_sales_price)
ext_sales_price
+ |FROM date_dim, store_sales, item
+ |WHERE store_sales.ss_store_sk IS NULL
+ | AND store_sales.ss_sold_date_sk = date_dim.d_date_sk
+ | AND store_sales.ss_item_sk = item.i_item_sk
+ |GROUP BY channel, store_sales.ss_store_sk, date_dim.d_year,
date_dim.d_qoy, item.i_category
+ """.stripMargin.trim,
+ s"""
+ |SELECT 'store' channel, store_sales.ss_store_sk col_name,
date_dim.d_year, date_dim.d_qoy,
+ | item.i_category, SUM(store_sales.ss_ext_sales_price)
ext_sales_price
+ |FROM date_dim, store_sales, item
+ |WHERE store_sales.ss_store_sk IS NULL
+ | AND store_sales.ss_sold_date_sk = date_dim.d_date_sk
+ | AND store_sales.ss_item_sk = item.i_item_sk
+ |GROUP BY store_sales.ss_store_sk, date_dim.d_year, date_dim.d_qoy,
item.i_category
+ """.stripMargin.trim,
+ s"""
+ |SELECT item.i_brand_id brand_id, item.i_brand brand,
SUM(ss_ext_sales_price) ext_price
+ |FROM date_dim, store_sales, item
+ |WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
+ | AND store_sales.ss_item_sk = item.i_item_sk
+ | AND item.i_manager_id = 28
+ | AND date_dim.d_year = 1999
+ | AND date_dim.d_moy = 11
+ |GROUP BY item.i_brand_id, item.i_brand
+ """.stripMargin.trim,
+ s"""
+ |SELECT item.i_brand_id brand_id, item.i_brand_id brand,
SUM(ss_ext_sales_price) ext_price
+ |FROM date_dim, store_sales, item
+ |WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
+ | AND store_sales.ss_item_sk = item.i_item_sk
+ | AND item.i_manager_id = 28
+ | AND date_dim.d_year = 1999
+ | AND date_dim.d_moy = 11
+ |GROUP BY item.i_brand_id, item.i_class_id,item.i_category_id
+ """.stripMargin.trim,
+ s"""
+ |SELECT 'store' channel, item.i_brand_id, item.i_class_id,
item.i_category_id,
+ | SUM(store_sales.ss_quantity*store_sales.ss_list_price) sales,
count(*) number_sales
+ |FROM date_dim, store_sales, item
+ |WHERE date_dim.d_date_sk = store_sales.ss_sold_date_sk
+ | AND store_sales.ss_item_sk = item.i_item_sk
+ | AND date_dim.d_year = 1999 + 2
+ | AND date_dim.d_moy = 11
+ |GROUP BY item.i_brand_id, item.i_class_id,item.i_category_id
+ """.stripMargin.trim,
+ s"""
+ |SELECT substr(item.i_item_desc,1,30) itemdesc, item.i_item_sk
item_sk, dt.d_date solddate, count(*) cnt
+ |FROM date_dim dt, store_sales, item
+ |WHERE dt.d_date_sk = store_sales.ss_sold_date_sk
+ | AND store_sales.ss_item_sk = item.i_item_sk
+ | AND dt.d_year in (2000, 2000+1, 2000+2, 2000+3)
+ |GROUP BY substr(item.i_item_desc,1,30), item.i_item_sk,dt.d_date
+ """.stripMargin.trim,
+
+ s"""
+ |SELECT store_sales.ss_store_sk,date_dim.d_year,
+ | COUNT(*) numsales
+ |FROM date_dim, store_sales
+ |WHERE date_dim.d_date_sk = store_sales.ss_sold_date_sk
+ |GROUP BY store_sales.ss_store_sk,date_dim.d_year GROUPING SETS
(store_sales.ss_store_sk,date_dim.d_year)
+ """.stripMargin.trim,
+ s"""
+ |SELECT store_sales.ss_store_sk,date_dim.d_year,
+ | SUM(store_sales.ss_ext_sales_price) as itemrevenue
+ |FROM date_dim, store_sales
+ |WHERE date_dim.d_date_sk = store_sales.ss_sold_date_sk
+ |GROUP BY CUBE(store_sales.ss_store_sk,date_dim.d_year)
+ """.stripMargin.trim,
+ s"""
+ |SELECT date_dim.d_moy,date_dim.d_qoy, date_dim.d_year,
+ | SUM(store_sales.ss_ext_sales_price) as itemrevenue
+ |FROM date_dim, store_sales
+ |WHERE date_dim.d_date_sk = store_sales.ss_sold_date_sk
+ |GROUP BY ROLLUP(date_dim.d_moy,date_dim.d_qoy, date_dim.d_year)
+ """.stripMargin.trim
+ )
+}
\ No newline at end of file