| /* |
| * 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.integration.spark.testsuite.preaggregate |
| |
| import org.apache.spark.sql.CarbonDatasourceHadoopRelation |
| import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Union} |
| import org.apache.spark.sql.execution.datasources.LogicalRelation |
| import org.apache.spark.sql.test.util.QueryTest |
| import org.scalatest.{BeforeAndAfterAll, Ignore} |
| |
| |
| class TestPreAggStreaming extends QueryTest with BeforeAndAfterAll { |
| |
| |
| override def beforeAll: Unit = { |
| dropAll |
| sql("CREATE TABLE mainTable(id int, name string, city string, age string) STORED BY 'org.apache.carbondata.format' tblproperties('streaming'='true')") |
| sql("create datamap agg0 on table mainTable using 'preaggregate' as select name from mainTable group by name") |
| sql("create datamap agg1 on table mainTable using 'preaggregate' as select name,sum(age) from mainTable group by name") |
| sql("create datamap agg2 on table mainTable using 'preaggregate' as select name,avg(age) from mainTable group by name") |
| sql("create datamap agg3 on table mainTable using 'preaggregate' as select name,sum(CASE WHEN age=35 THEN id ELSE 0 END) from mainTable group by name") |
| sql("CREATE TABLE mainTableStreamingOne(id int, name string, city string, age smallint) STORED BY 'org.apache.carbondata.format' tblproperties('streaming'='true')") |
| sql("create datamap aggStreamingAvg on table mainTableStreamingOne using 'preaggregate' as select name,avg(age) from mainTableStreamingOne group by name") |
| sql(s"LOAD DATA LOCAL INPATH '$resourcesPath/measureinsertintotest.csv' into table mainTable") |
| sql(s"LOAD DATA LOCAL INPATH '$resourcesPath/measureinsertintotest.csv' into table mainTableStreamingOne") |
| sql("CREATE TABLE origin(id int, name string, city string, age string) STORED BY 'org.apache.carbondata.format' tblproperties('streaming'='true')") |
| sql(s"LOAD DATA LOCAL INPATH '$resourcesPath/measureinsertintotest.csv' into table origin") |
| sql("CREATE TABLE binary_stream(id int, label boolean, name string,image binary,autoLabel boolean) STORED BY 'org.apache.carbondata.format' tblproperties('streaming'='true')") |
| sql(s"LOAD DATA LOCAL INPATH '$resourcesPath/binaryDataBase64.csv' into table binary_stream OPTIONS('header'='false','DELIMITER'=',','binary_decoder'='baSe64')") |
| sql("create datamap agg0 on table binary_stream using 'preaggregate' as select name from binary_stream group by name") |
| } |
| |
| test("Test Pre Agg Streaming with project column and group by") { |
| val df = sql("select name from maintable group by name") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select name from origin group by name")) |
| } |
| |
| test("Test binary with stream and preaggregate") { |
| val df = sql("select name from binary_stream group by name") |
| df.collect() |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select name from binary_stream group by name")) |
| } |
| |
| test("Test Pre Agg Streaming table Agg Sum Aggregation") { |
| val df = sql("select name, sum(age) from maintable group by name") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select name, sum(age) from origin group by name")) |
| } |
| |
| test("Test Pre Agg Streaming table with UDF") { |
| val df = sql("select substring(name,1,1), sum(age) from maintable group by substring(name,1,1)") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select substring(name,1,1), sum(age) from origin group by substring(name,1,1)")) |
| } |
| |
| test("Test Pre Agg Streaming table with UDF Only in group by") { |
| val df = sql("select sum(age) from maintable group by substring(name,1,1)") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select sum(age) from origin group by substring(name,1,1)")) |
| } |
| |
| test("Test Pre Agg Streaming table With Sum Aggregation And Order by") { |
| val df = sql("select name, sum(age) from maintable group by name order by name") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select name, sum(age) from origin group by name order by name")) |
| } |
| |
| test("Test Pre Agg Streaming table With Avg Aggregation") { |
| val df = sql("select name, avg(age) from maintable group by name order by name") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select name, avg(age) from origin group by name order by name")) |
| } |
| |
| test("Test Pre Agg Streaming table With Expression Aggregation") { |
| val df = sql("select name, sum(CASE WHEN age=35 THEN id ELSE 0 END) from maintable group by name order by name") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select name, sum(CASE WHEN age=35 THEN id ELSE 0 END) from origin group by name order by name")) |
| } |
| |
| test("Test Pre Agg Streaming table With only aggregate expression and group by") { |
| val df = sql("select sum(age) from maintable group by name") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select sum(age) from origin group by name")) |
| } |
| |
| test("Test Pre Agg Streaming table With small int and avg") { |
| val df = sql("select name, avg(age) from mainTableStreamingOne group by name") |
| assert(validateStreamingTablePlan(df.queryExecution.analyzed)) |
| checkAnswer(df, sql("select name, avg(age) from origin group by name")) |
| } |
| |
| /** |
| * Below method will be used validate whether plan is already updated in case of streaming table |
| * In case of streaming table it will add UnionNode to get the data from fact and aggregate both |
| * as aggregate table will be updated after each handoff. |
| * So if plan is already updated no need to transform the plan again |
| * @param logicalPlan |
| * query plan |
| * @return whether need to update the query plan or not |
| */ |
| def validateStreamingTablePlan(logicalPlan: LogicalPlan) : Boolean = { |
| var isChildTableExists: Boolean = false |
| logicalPlan.transform { |
| case union @ Union(Seq(plan1, plan2)) => |
| plan2.collect{ |
| case logicalRelation: LogicalRelation if |
| logicalRelation.relation.isInstanceOf[CarbonDatasourceHadoopRelation] && |
| logicalRelation.relation.asInstanceOf[CarbonDatasourceHadoopRelation].carbonTable |
| .isChildDataMap => |
| isChildTableExists = true |
| } |
| union |
| } |
| isChildTableExists |
| } |
| |
| private def dropAll: Unit = { |
| sql("drop table if exists mainTable") |
| sql("drop table if exists mainTableStreamingOne") |
| sql("drop table if exists origin") |
| sql("drop table if exists binary_stream") |
| } |
| |
| override def afterAll: Unit = { |
| dropAll |
| } |
| } |