/
MsSqlServerIntegrationSuite.scala
359 lines (344 loc) · 16.5 KB
/
MsSqlServerIntegrationSuite.scala
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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,
* 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.sql.catalyst.util.DateTimeTestUtils._
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.tags.DockerTest
/**
* To run this test suite for a specific version (e.g., 2019-GA-ubuntu-16.04):
* {{{
* MSSQLSERVER_DOCKER_IMAGE_NAME=2019-GA-ubuntu-16.04
* ./build/sbt -Pdocker-integration-tests
* "testOnly org.apache.spark.sql.jdbc.MsSqlServerIntegrationSuite"
* }}}
*/
@DockerTest
class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationSuite {
override val db = new DatabaseOnDocker {
override val imageName = sys.env.getOrElse("MSSQLSERVER_DOCKER_IMAGE_NAME",
"mcr.microsoft.com/mssql/server:2019-GA-ubuntu-16.04")
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 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 TINYINT, c SMALLINT, d INT, e BIGINT,
|f FLOAT, f1 FLOAT(24),
|g REAL,
|h DECIMAL(5,2), i NUMERIC(10,5),
|j MONEY, k SMALLMONEY)
""".stripMargin).executeUpdate()
conn.prepareStatement(
"""
|INSERT INTO numbers VALUES (
|0,
|255, 32767, 2147483647, 9223372036854775807,
|123456789012345.123456789012345, 123456789012345.123456789012345,
|123456789012345.123456789012345,
|123, 12345.12,
|922337203685477.58, 214748.3647)
""".stripMargin).executeUpdate()
conn.prepareStatement(
"""
|CREATE TABLE dates (
|a DATE, b DATETIME, c DATETIME2,
|d DATETIMEOFFSET, e SMALLDATETIME,
|f TIME)
""".stripMargin).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')
""".stripMargin).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)
""".stripMargin).executeUpdate()
conn.prepareStatement(
"""
|INSERT INTO strings VALUES (
|'the', 'quick',
|'brown', 'fox',
|123456, 123456,
|'the', 'lazy',
|'dog')
""".stripMargin).executeUpdate()
conn.prepareStatement(
"""
|CREATE TABLE spatials (
|point geometry,
|line geometry,
|circle geometry,
|curve geography,
|polygon geometry,
|curve_polygon geography,
|multi_point geometry,
|multi_line geometry,
|multi_polygon geometry,
|geometry_collection geometry)
""".stripMargin).executeUpdate()
conn.prepareStatement(
"""
|INSERT INTO spatials VALUES (
|'POINT(3 4 7 2.5)',
|'LINESTRING(1 0, 0 1, -1 0)',
|'CIRCULARSTRING(
| -122.358 47.653, -122.348 47.649, -122.348 47.658, -122.358 47.658, -122.358 47.653)',
|'COMPOUNDCURVE(
| CIRCULARSTRING(-122.358 47.653, -122.348 47.649,
| -122.348 47.658, -122.358 47.658, -122.358 47.653))',
|'POLYGON((-20 -20, -20 20, 20 20, 20 -20, -20 -20), (10 0, 0 10, 0 -10, 10 0))',
|'CURVEPOLYGON((-122.3 47, 122.3 47, 125.7 49, 121 38, -122.3 47))',
|'MULTIPOINT((2 3), (7 8 9.5))',
|'MULTILINESTRING((0 2, 1 1), (1 0, 1 1))',
|'MULTIPOLYGON(((2 2, 2 -2, -2 -2, -2 2, 2 2)),((1 1, 3 1, 3 3, 1 3, 1 1)))',
|'GEOMETRYCOLLECTION(LINESTRING(1 1, 3 5),POLYGON((-1 -1, -1 -5, -5 -5, -5 -1, -1 -1)))')
""".stripMargin).executeUpdate()
}
test("Basic test") {
val df = spark.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") {
Seq(true, false).foreach { flag =>
withSQLConf(SQLConf.LEGACY_MSSQLSERVER_NUMERIC_MAPPING_ENABLED.key -> s"$flag") {
val df = spark.read.jdbc(jdbcUrl, "numbers", new Properties)
val rows = df.collect()
assert(rows.length == 1)
val row = rows(0)
val types = row.toSeq.map(x => x.getClass.toString)
assert(types.length == 12)
assert(types(0).equals("class java.lang.Boolean"))
assert(types(1).equals("class java.lang.Integer"))
if (flag) {
assert(types(2).equals("class java.lang.Integer"))
} else {
assert(types(2).equals("class java.lang.Short"))
}
assert(types(3).equals("class java.lang.Integer"))
assert(types(4).equals("class java.lang.Long"))
assert(types(5).equals("class java.lang.Double"))
if (flag) {
assert(types(6).equals("class java.lang.Double"))
assert(types(7).equals("class java.lang.Double"))
} else {
assert(types(6).equals("class java.lang.Float"))
assert(types(7).equals("class java.lang.Float"))
}
assert(types(8).equals("class java.math.BigDecimal"))
assert(types(9).equals("class java.math.BigDecimal"))
assert(types(10).equals("class java.math.BigDecimal"))
assert(types(11).equals("class java.math.BigDecimal"))
assert(row.getBoolean(0) == false)
assert(row.getInt(1) == 255)
if (flag) {
assert(row.getInt(2) == 32767)
} else {
assert(row.getShort(2) == 32767)
}
assert(row.getInt(3) == 2147483647)
assert(row.getLong(4) == 9223372036854775807L)
assert(row.getDouble(5) == 1.2345678901234512E14) // float(53) has 15-digits precision
if (flag) {
assert(row.getDouble(6) == 1.23456788103168E14) // float(24) has 7-digits precision
assert(row.getDouble(7) == 1.23456788103168E14) // real = float(24)
} else {
assert(row.getFloat(6) == 1.23456788103168E14) // float(24) has 7-digits precision
assert(row.getFloat(7) == 1.23456788103168E14) // real = float(24)
}
assert(row.getAs[BigDecimal](8).equals(new BigDecimal("123.00")))
assert(row.getAs[BigDecimal](9).equals(new BigDecimal("12345.12000")))
assert(row.getAs[BigDecimal](10).equals(new BigDecimal("922337203685477.5800")))
assert(row.getAs[BigDecimal](11).equals(new BigDecimal("214748.3647")))
}
}
}
test("Date types") {
withDefaultTimeZone(UTC) {
val df = spark.read.jdbc(jdbcUrl, "dates", new Properties)
val rows = df.collect()
assert(rows.length == 1)
val row = rows(0)
val types = row.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(row.getAs[Date](0).equals(Date.valueOf("1991-11-09")))
assert(row.getAs[Timestamp](1).equals(Timestamp.valueOf("1999-01-01 13:23:35.0")))
assert(row.getAs[Timestamp](2).equals(Timestamp.valueOf("9999-12-31 23:59:59.0")))
assert(row.getString(3).equals("1901-05-09 23:59:59.0000000 +14:00"))
assert(row.getAs[Timestamp](4).equals(Timestamp.valueOf("1996-01-01 23:24:00.0")))
assert(row.getAs[Timestamp](5).equals(Timestamp.valueOf("1970-01-01 13:31:24.0")))
}
}
test("String types") {
val df = spark.read.jdbc(jdbcUrl, "strings", new Properties)
val rows = df.collect()
assert(rows.length == 1)
val row = rows(0)
val types = row.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(row.getString(0).length == 10)
assert(row.getString(0).trim.equals("the"))
assert(row.getString(1).equals("quick"))
assert(row.getString(2).length == 10)
assert(row.getString(2).trim.equals("brown"))
assert(row.getString(3).equals("fox"))
assert(java.util.Arrays.equals(row.getAs[Array[Byte]](4), Array[Byte](0, 1, -30, 64)))
assert(java.util.Arrays.equals(row.getAs[Array[Byte]](5), Array[Byte](0, 1, -30, 64)))
assert(row.getString(6).equals("the"))
assert(row.getString(7).equals("lazy"))
assert(java.util.Arrays.equals(row.getAs[Array[Byte]](8), Array[Byte](100, 111, 103)))
}
test("Basic write test") {
val df1 = spark.read.jdbc(jdbcUrl, "numbers", new Properties)
val df2 = spark.read.jdbc(jdbcUrl, "dates", new Properties)
val df3 = spark.read.jdbc(jdbcUrl, "strings", new Properties)
df1.write.jdbc(jdbcUrl, "numberscopy", new Properties)
df2.write.jdbc(jdbcUrl, "datescopy", new Properties)
df3.write.jdbc(jdbcUrl, "stringscopy", new Properties)
}
test("SPARK-33813: MsSqlServerDialect should support spatial types") {
val df = spark.read.jdbc(jdbcUrl, "spatials", new Properties)
val rows = df.collect()
assert(rows.length == 1)
val row = rows(0)
val types = row.toSeq.map(x => x.getClass.toString)
assert(types.length == 10)
assert(types(0) == "class [B")
assert(row.getAs[Array[Byte]](0) ===
Array(0, 0, 0, 0, 1, 15, 0, 0, 0, 0, 0, 0, 8, 64, 0, 0, 0, 0, 0, 0,
16, 64, 0, 0, 0, 0, 0, 0, 28, 64, 0, 0, 0, 0, 0, 0, 4, 64))
assert(types(1) == "class [B")
assert(row.getAs[Array[Byte]](1) ===
Array[Byte](0, 0, 0, 0, 1, 4, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 63, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-16, 63, 0, 0, 0, 0, 0, 0, -16, -65, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, -1, -1, -1, -1, 0, 0, 0, 0, 2))
assert(types(2) == "class [B")
assert(row.getAs[Array[Byte]](2) ===
Array[Byte](0, 0, 0, 0, 2, 4, 5, 0, 0, 0, -12, -3, -44, 120, -23, -106,
94, -64, -35, 36, 6, -127, -107, -45, 71, 64, -125, -64, -54, -95, 69,
-106, 94, -64, 80, -115, -105, 110, 18, -45, 71, 64, -125, -64, -54,
-95, 69, -106, 94, -64, 78, 98, 16, 88, 57, -44, 71, 64, -12, -3, -44,
120, -23, -106, 94, -64, 78, 98, 16, 88, 57, -44, 71, 64, -12, -3, -44,
120, -23, -106, 94, -64, -35, 36, 6, -127, -107, -45, 71, 64, 1, 0, 0,
0, 2, 0, 0, 0, 0, 1, 0, 0, 0, -1, -1, -1, -1, 0, 0, 0, 0, 8))
assert(types(3) == "class [B")
assert(row.getAs[Array[Byte]](3) ===
Array[Byte](-26, 16, 0, 0, 2, 4, 5, 0, 0, 0, -35, 36, 6, -127, -107, -45,
71, 64, -12, -3, -44, 120, -23, -106, 94, -64, 80, -115, -105, 110, 18,
-45, 71, 64, -125, -64, -54, -95, 69, -106, 94, -64, 78, 98, 16, 88, 57,
-44, 71, 64, -125, -64, -54, -95, 69, -106, 94, -64, 78, 98, 16, 88, 57,
-44, 71, 64, -12, -3, -44, 120, -23, -106, 94, -64, -35, 36, 6, -127, -107,
-45, 71, 64, -12, -3, -44, 120, -23, -106, 94, -64, 1, 0, 0, 0, 3, 0, 0,
0, 0, 1, 0, 0, 0, -1, -1, -1, -1, 0, 0, 0, 0, 9, 2, 0, 0, 0, 3, 1))
assert(types(5) == "class [B")
assert(row.getAs[Array[Byte]](4) ===
Array[Byte](0, 0, 0, 0, 1, 4, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, -64, 0, 0,
0, 0, 0, 0, 52, -64, 0, 0, 0, 0, 0, 0, 52, -64, 0, 0, 0, 0, 0, 0, 52, 64,
0, 0, 0, 0, 0, 0, 52, 64, 0, 0, 0, 0, 0, 0, 52, 64, 0, 0, 0, 0, 0, 0, 52,
64, 0, 0, 0, 0, 0, 0, 52, -64, 0, 0, 0, 0, 0, 0, 52, -64, 0, 0, 0, 0, 0,
0, 52, -64, 0, 0, 0, 0, 0, 0, 36, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 36, -64, 0, 0, 0, 0, 0, 0, 36, 64, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0,
0, 2, 0, 0, 0, 0, 0, 5, 0, 0, 0, 1, 0, 0, 0, -1, -1, -1, -1, 0, 0, 0, 0, 3))
assert(types(6) === "class [B")
assert(row.getAs[Array[Byte]](5) ===
Array[Byte](-26, 16, 0, 0, 2, 4, 5, 0, 0, 0, 0, 0, 0, 0, 0, -128, 71, 64, 51,
51, 51, 51, 51, -109, 94, -64, 0, 0, 0, 0, 0, -128, 71, 64, 51, 51, 51, 51,
51, -109, 94, 64, 0, 0, 0, 0, 0, -128, 72, 64, -51, -52, -52, -52, -52, 108,
95, 64, 0, 0, 0, 0, 0, 0, 67, 64, 0, 0, 0, 0, 0, 64, 94, 64, 0, 0, 0, 0, 0,
-128, 71, 64, 51, 51, 51, 51, 51, -109, 94, -64, 1, 0, 0, 0, 1, 0, 0, 0, 0,
1, 0, 0, 0, -1, -1, -1, -1, 0, 0, 0, 0, 10))
assert(types(6) === "class [B")
assert(row.getAs[Array[Byte]](6) ===
Array[Byte](0, 0, 0, 0, 1, 5, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0,
0, 0, 8, 64, 0, 0, 0, 0, 0, 0, 28, 64, 0, 0, 0, 0, 0, 0, 32, 64, 0, 0, 0, 0,
0, 0, -8, -1, 0, 0, 0, 0, 0, 0, 35, 64, 2, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0,
0, 0, 3, 0, 0, 0, -1, -1, -1, -1, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 1,
0, 0, 0, 0, 1, 0, 0, 0, 1))
assert(types(6) === "class [B")
assert(row.getAs[Array[Byte]](7) ===
Array[Byte](0, 0, 0, 0, 1, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 64, 0, 0, 0, 0, 0, 0, -16, 63, 0, 0, 0, 0, 0, 0, -16, 63, 0, 0, 0,
0, 0, 0, -16, 63, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 63, 0, 0,
0, 0, 0, 0, -16, 63, 2, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 0, 0, 3, 0, 0, 0,
-1, -1, -1, -1, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 0, 2))
assert(types(6) === "class [B")
assert(row.getAs[Array[Byte]](8) ===
Array[Byte](0, 0, 0, 0, 1, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0,
0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0,
0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0,
0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0,
0, 0, 0, 0, -16, 63, 0, 0, 0, 0, 0, 0, -16, 63, 0, 0, 0, 0, 0, 0, 8, 64, 0,
0, 0, 0, 0, 0, -16, 63, 0, 0, 0, 0, 0, 0, 8, 64, 0, 0, 0, 0, 0, 0, 8, 64, 0,
0, 0, 0, 0, 0, -16, 63, 0, 0, 0, 0, 0, 0, 8, 64, 0, 0, 0, 0, 0, 0, -16, 63,
0, 0, 0, 0, 0, 0, -16, 63, 2, 0, 0, 0, 2, 0, 0, 0, 0, 2, 5, 0, 0, 0, 3, 0,
0, 0, -1, -1, -1, -1, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 1, 0, 0, 0, 3))
assert(types(6) === "class [B")
assert(row.getAs[Array[Byte]](9) ===
Array[Byte](0, 0, 0, 0, 1, 4, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 63, 0, 0, 0,
0, 0, 0, -16, 63, 0, 0, 0, 0, 0, 0, 8, 64, 0, 0, 0, 0, 0, 0, 20, 64, 0, 0,
0, 0, 0, 0, -16, -65, 0, 0, 0, 0, 0, 0, -16, -65, 0, 0, 0, 0, 0, 0, -16, -65,
0, 0, 0, 0, 0, 0, 20, -64, 0, 0, 0, 0, 0, 0, 20, -64, 0, 0, 0, 0, 0, 0, 20,
-64, 0, 0, 0, 0, 0, 0, 20, -64, 0, 0, 0, 0, 0, 0, -16, -65, 0, 0, 0, 0, 0, 0,
-16, -65, 0, 0, 0, 0, 0, 0, -16, -65, 2, 0, 0, 0, 1, 0, 0, 0, 0, 2, 2, 0, 0,
0, 3, 0, 0, 0, -1, -1, -1, -1, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0,
0, 0, 0, 1, 0, 0, 0, 3))
}
}