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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,
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* See the License for the specific language governing permissions and
* limitations under the License.
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package org.apache.carbondata.mv.rewrite
import org.apache.spark.sql.Row
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.execution.datasources.LogicalRelation
import org.apache.spark.sql.test.util.CarbonQueryTest
class SelectAllColumnsSuite extends CarbonQueryTest {
test ("table select all columns mv") {
sql("drop datamap if exists all_table_mv")
sql("drop table if exists all_table")
sql("create table all_table(name string, age int, height int) stored by 'carbondata'")
sql("insert into all_table select 'tom',20,175")
sql("insert into all_table select 'tom',32,180")
sql("create datamap all_table_mv on table all_table using 'mv' as select avg(age),avg(height),name from all_table group by name")
sql("rebuild datamap all_table_mv")
checkAnswer(
sql("select avg(age),avg(height),name from all_table group by name"),
Seq(Row(26.0, 177.5, "tom")))
val frame = sql("select avg(age),avg(height),name from all_table group by name")
val analyzed = frame.queryExecution.analyzed
assert(TestUtil.verifyMVDataMap(analyzed, "all_table_mv"))
sql("drop table if exists all_table")
}
}