| /* |
| * 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.spark.testsuite.iud |
| |
| import java.text.SimpleDateFormat |
| |
| import org.apache.spark.sql.test.util.QueryTest |
| import org.apache.spark.sql.{DataFrame, Row, SaveMode} |
| import org.scalatest.BeforeAndAfterAll |
| |
| import org.apache.carbondata.core.constants.CarbonCommonConstants |
| import org.apache.carbondata.core.util.CarbonProperties |
| |
| class TestUpdateAndDeleteWithLargeData extends QueryTest with BeforeAndAfterAll { |
| var df: DataFrame = _ |
| |
| override def beforeAll { |
| dropTable() |
| buildTestData() |
| } |
| |
| private def buildTestData(): Unit = { |
| |
| CarbonProperties.getInstance() |
| .addProperty(CarbonCommonConstants.CARBON_DATE_FORMAT, "yyyy-MM-dd") |
| |
| // Simulate data and write to table orders |
| import sqlContext.implicits._ |
| |
| val sdf = new SimpleDateFormat("yyyy-MM-dd") |
| df = sqlContext.sparkSession.sparkContext.parallelize(1 to 1500000) |
| .map(value => (value, new java.sql.Date(sdf.parse("2015-07-" + (value % 10 + 10)).getTime), |
| "china", "aaa" + value, "phone" + 555 * value, "ASD" + (60000 + value), 14999 + value, |
| "ordersTable" + value)) |
| .toDF("o_id", "o_date", "o_country", "o_name", |
| "o_phonetype", "o_serialname", "o_salary", "o_comment") |
| createTable() |
| |
| } |
| |
| private def createTable(): Unit = { |
| df.write |
| .format("carbondata") |
| .option("tableName", "orders") |
| .option("tempCSV", "true") |
| .option("compress", "true") |
| .mode(SaveMode.Overwrite) |
| .save() |
| } |
| |
| private def dropTable() = { |
| sql("DROP TABLE IF EXISTS orders") |
| |
| } |
| |
| test("test the update and delete delete functionality for large data") { |
| |
| sql( |
| """ |
| update ORDERS set (o_comment) = ('yyy')""").show() |
| checkAnswer(sql( |
| """select o_comment from orders limit 2 """), Seq(Row("yyy"), Row("yyy"))) |
| |
| sql("delete from orders where exists (select 1 from orders)") |
| |
| checkAnswer(sql( |
| """ |
| SELECT count(*) FROM orders |
| """), Row(0)) |
| } |
| |
| } |