dongjoon-hyun commented on a change in pull request #24099: [SPARK-27168][TEST] Add docker integration test for MsSql server URL: https://github.com/apache/spark/pull/24099#discussion_r266732802
########## File path: external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSqlServerIntegrationSuite.scala ########## @@ -0,0 +1,167 @@ +/* + * 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.spark.sql.jdbc + +import java.math.BigDecimal +import java.sql.{Connection, Date, Timestamp} +import java.util.Properties + +import org.apache.spark.tags.DockerTest + +@DockerTest +class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationSuite { + override val db = new DatabaseOnDocker { + override val imageName = "mcr.microsoft.com/mssql/server:2017-GA-ubuntu" + override val env = Map( + "SA_PASSWORD" -> "Sapass123", + "ACCEPT_EULA" -> "Y" + ) + override val usesIpc = false + override val jdbcPort: Int = 1433 + + override def getJdbcUrl(ip: String, port: Int): String = + s"jdbc:sqlserver://$ip:$port;user=sa;password=Sapass123;" + + override def getStartupProcessName: Option[String] = None + } + + override def dataPreparation(conn: Connection): Unit = { + conn.prepareStatement("CREATE TABLE tbl (x INT, y VARCHAR (50))").executeUpdate() + conn.prepareStatement("INSERT INTO tbl VALUES (42,'fred')").executeUpdate() + conn.prepareStatement("INSERT INTO tbl VALUES (17,'dave')").executeUpdate() + + conn.prepareStatement("CREATE TABLE numbers (a BIT, " + + "b DECIMAL(5,2), c NUMERIC(10,5), " + + "d FLOAT, e REAL, " + + "f BIGINT, g INT, h SMALLINT, i TINYINT, " + + "j MONEY, k SMALLMONEY)").executeUpdate() + conn.prepareStatement("INSERT INTO numbers VALUES (0, " + + "123, 12345.12, " + + "123456789012345.123, 123456789012345.123456789012345, " + + "9223372036854775807, 2147483647, 32767, 255, " + + "922337203685477.58, 214748.3647)").executeUpdate() + + conn.prepareStatement("CREATE TABLE dates (a DATE, b DATETIME, c DATETIME2, " + + "d DATETIMEOFFSET, e SMALLDATETIME, f TIME)").executeUpdate() + conn.prepareStatement("INSERT INTO dates VALUES ('1991-11-09', '1999-01-01 13:23:35', " + + "'9999-12-31 23:59:59', '1901-05-09 23:59:59 +14:00', " + + "'1996-01-01 23:23:45', '13:31:24')").executeUpdate() + + conn.prepareStatement("CREATE TABLE strings (a CHAR(10), b VARCHAR(10), c nchar(10), " + + "d nvarchar(10), e binary(4), f varbinary(4), g text, h ntext, i image)").executeUpdate() + conn.prepareStatement("INSERT INTO strings VALUES ('the', 'quick', 'brown', 'fox', 123456," + + " 123456, 'the', 'lazy', 'dog')").executeUpdate() + } + + test("Basic test") { + val df = sqlContext.read.jdbc(jdbcUrl, "tbl", new Properties) + val rows = df.collect() + assert(rows.length == 2) + val types = rows(0).toSeq.map(x => x.getClass.toString) + assert(types.length == 2) + assert(types(0).equals("class java.lang.Integer")) + assert(types(1).equals("class java.lang.String")) + } + + test("Numeric types") { + val df = sqlContext.read.jdbc(jdbcUrl, "numbers", new Properties) + val rows = df.collect() + assert(rows.length == 1) + val types = rows(0).toSeq.map(x => x.getClass.toString) + assert(types.length == 11) + assert(types(0).equals("class java.lang.Boolean")) + assert(types(1).equals("class java.math.BigDecimal")) + assert(types(2).equals("class java.math.BigDecimal")) + assert(types(3).equals("class java.lang.Double")) + assert(types(4).equals("class java.lang.Double")) + assert(types(5).equals("class java.lang.Long")) + assert(types(6).equals("class java.lang.Integer")) + assert(types(7).equals("class java.lang.Integer")) + assert(types(8).equals("class java.lang.Integer")) + assert(types(9).equals("class java.math.BigDecimal")) + assert(types(10).equals("class java.math.BigDecimal")) + assert(rows(0).getBoolean(0) == false) + assert(rows(0).getAs[BigDecimal](1).equals(new BigDecimal("123.00"))) + assert(rows(0).getAs[BigDecimal](2).equals(new BigDecimal("12345.12000"))) + assert(rows(0).getDouble(3) == 1.2345678901234512E14) + assert(rows(0).getDouble(4) == 1.23456788103168E14) + assert(rows(0).getLong(5) == 9223372036854775807L) + assert(rows(0).getInt(6) == 2147483647) + assert(rows(0).getInt(7) == 32767) + assert(rows(0).getInt(8) == 255) + assert(rows(0).getAs[BigDecimal](9).equals(new BigDecimal("922337203685477.5800"))) + assert(rows(0).getAs[BigDecimal](10).equals(new BigDecimal("214748.3647"))) + } + + test("Date types") { + val df = sqlContext.read.jdbc(jdbcUrl, "dates", new Properties) + val rows = df.collect() + assert(rows.length == 1) + val types = rows(0).toSeq.map(x => x.getClass.toString) + assert(types.length == 6) + assert(types(0).equals("class java.sql.Date")) + assert(types(1).equals("class java.sql.Timestamp")) + assert(types(2).equals("class java.sql.Timestamp")) + assert(types(3).equals("class java.lang.String")) + assert(types(4).equals("class java.sql.Timestamp")) + assert(types(5).equals("class java.sql.Timestamp")) + assert(rows(0).getAs[Date](0).equals(Date.valueOf("1991-11-09"))) + assert(rows(0).getAs[Timestamp](1).equals(Timestamp.valueOf("1999-01-01 13:23:35.0"))) + assert(rows(0).getAs[Timestamp](2).equals(Timestamp.valueOf("9999-12-31 23:59:59.0"))) + assert(rows(0).getString(3).equals("1901-05-09 23:59:59.0000000 +14:00")) + assert(rows(0).getAs[Timestamp](4).equals(Timestamp.valueOf("1996-01-01 23:24:00.0"))) + assert(rows(0).getAs[Timestamp](5).equals(Timestamp.valueOf("1900-01-01 13:31:24.0"))) + } + + test("String types") { + val df = sqlContext.read.jdbc(jdbcUrl, "strings", new Properties) + val rows = df.collect() + assert(rows.length == 1) + val types = rows(0).toSeq.map(x => x.getClass.toString) + assert(types.length == 9) + assert(types(0).equals("class java.lang.String")) + assert(types(1).equals("class java.lang.String")) + assert(types(2).equals("class java.lang.String")) + assert(types(3).equals("class java.lang.String")) + assert(types(4).equals("class [B")) + assert(types(5).equals("class [B")) + assert(types(6).equals("class java.lang.String")) + assert(types(7).equals("class java.lang.String")) + assert(types(8).equals("class [B")) + assert(rows(0).getString(0).length == 10) Review comment: ditto. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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