| /* |
| * 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.primitiveTypes |
| |
| import java.util.Random |
| |
| import org.apache.spark.sql.test.util.QueryTest |
| import org.apache.spark.sql.types._ |
| import org.apache.spark.sql.{DataFrame, Row, SaveMode} |
| import org.scalatest.BeforeAndAfterAll |
| |
| /** |
| * Test Class for filter query on Double datatypes |
| */ |
| class DoubleDataTypeTestCase extends QueryTest with BeforeAndAfterAll { |
| |
| lazy val df: DataFrame = generateDataFrame |
| |
| private def generateDataFrame(): DataFrame = { |
| val r = new Random() |
| val rdd = sqlContext.sparkContext |
| .parallelize(1 to 10, 2) |
| .map { x => |
| Row(x, "London" + (x % 2), x.toDouble / 13, x.toDouble / 11) |
| } |
| |
| val schema = StructType( |
| Seq( |
| StructField("id", IntegerType, nullable = false), |
| StructField("city", StringType, nullable = false), |
| StructField("m1", DoubleType, nullable = false), |
| StructField("m2", DoubleType, nullable = false) |
| ) |
| ) |
| |
| sqlContext.createDataFrame(rdd, schema) |
| } |
| |
| override def beforeAll { |
| sql("drop table if exists uniq_carbon") |
| sql("drop table if exists uniq_hive") |
| sql("drop table if exists doubleTypeCarbonTable") |
| sql("drop table if exists doubleTypeHiveTable") |
| |
| df.write |
| .format("carbondata") |
| .option("tableName", "doubleTypeCarbonTable") |
| .option("tempCSV", "false") |
| .option("table_blocksize", "32") |
| .mode(SaveMode.Overwrite) |
| .save() |
| |
| df.write |
| .mode(SaveMode.Overwrite) |
| .saveAsTable("doubleTypeHiveTable") |
| |
| } |
| |
| test("detail query") { |
| checkAnswer(sql("select * from doubleTypeCarbonTable order by id"), |
| sql("select * from doubleTypeHiveTable order by id")) |
| |
| } |
| |
| test("duplicate values") { |
| sql("create table uniq_carbon(name string, double_column double) stored by 'carbondata' ") |
| sql(s"load data inpath '$resourcesPath/uniq.csv' into table uniq_carbon") |
| sql("create table uniq_hive(name string, double_column double) ROW FORMAT DELIMITED FIELDS TERMINATED BY ','") |
| sql(s"load data local inpath '$resourcesPath/uniqwithoutheader.csv' into table uniq_hive") |
| checkAnswer(sql("select * from uniq_carbon where double_column>=11"), |
| sql("select * from uniq_hive where double_column>=11")) |
| } |
| |
| // test("agg query") { |
| // checkAnswer(sql("select city, sum(m1), avg(m1), count(m1), max(m1), min(m1) from doubleTypeCarbonTable group by city"), |
| // sql("select city, sum(m1), avg(m1), count(m1), max(m1), min(m1) from doubleTypeHiveTable group by city")) |
| // |
| // checkAnswer(sql("select city, sum(m2), avg(m2), count(m2), max(m2), min(m2) from doubleTypeCarbonTable group by city"), |
| // sql("select city, sum(m2), avg(m2), count(m2), max(m2), min(m2) from doubleTypeHiveTable group by city")) |
| // } |
| |
| override def afterAll { |
| sql("drop table if exists uniq_carbon") |
| sql("drop table if exists uniq_hive") |
| sql("drop table if exists doubleTypeCarbonTable") |
| sql("drop table if exists doubleTypeHiveTable") |
| } |
| } |