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[SPARK-37867][SQL] Compile aggregate functions of build-in JDBC dialect #35166

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[SPARK-37867][SQL] Compile aggregate functions of build-in JDBC dialect #35166

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[SPARK-37867][SQL] Compile aggregate functions of build-in JDBC dialect
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19 changes: 18 additions & 1 deletion ...r-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@
package org.apache.spark.sql.jdbc.v2

import java.sql.Connection
import java.util.Locale

import org.scalatest.time.SpanSugar._

Expand All @@ -38,6 +39,7 @@ import org.apache.spark.tags.DockerTest
@DockerTest
class DB2IntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTest {
override val catalogName: String = "db2"
override val namespaceOpt: Option[String] = Some("DB2INST1")
override val db = new DatabaseOnDocker {
override val imageName = sys.env.getOrElse("DB2_DOCKER_IMAGE_NAME", "ibmcom/db2:11.5.6.0a")
override val env = Map(
Expand All @@ -59,8 +61,19 @@ class DB2IntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTest {
override def sparkConf: SparkConf = super.sparkConf
.set("spark.sql.catalog.db2", classOf[JDBCTableCatalog].getName)
.set("spark.sql.catalog.db2.url", db.getJdbcUrl(dockerIp, externalPort))
.set("spark.sql.catalog.db2.pushDownAggregate", "true")

override def dataPreparation(conn: Connection): Unit = {}
override def dataPreparation(conn: Connection): Unit = {
conn.prepareStatement(
"CREATE TABLE employee (dept INTEGER, name VARCHAR(10), salary DECIMAL(20, 2), bonus DOUBLE)")
.executeUpdate()
conn.prepareStatement(
"""
|INSERT INTO employee VALUES
|(1, 'amy', 10000, 1000), (2, 'alex', 12000, 1200), (1, 'cathy', 9000, 1200),
|(2, 'david', 10000, 1300), (6, 'jen', 12000, 1200)
|""".stripMargin).executeUpdate()
}

override def testUpdateColumnType(tbl: String): Unit = {
sql(s"CREATE TABLE $tbl (ID INTEGER)")
Expand All @@ -86,4 +99,8 @@ class DB2IntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTest {
val expectedSchema = new StructType().add("ID", IntegerType, true, defaultMetadata)
assert(t.schema === expectedSchema)
}

override def caseConvert(tableName: String): String = tableName.toUpperCase(Locale.ROOT)
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I think DB2 objects names are not case sensitive.

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I tests many time. If uses the table name with lower case, DB2 throws Exception about not find table.


testVarPop()
}
18 changes: 17 additions & 1 deletion ...ation-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
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Expand Up @@ -58,10 +58,21 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBC
override def sparkConf: SparkConf = super.sparkConf
.set("spark.sql.catalog.mssql", classOf[JDBCTableCatalog].getName)
.set("spark.sql.catalog.mssql.url", db.getJdbcUrl(dockerIp, externalPort))
.set("spark.sql.catalog.mssql.pushDownAggregate", "true")

override val connectionTimeout = timeout(7.minutes)

override def dataPreparation(conn: Connection): Unit = {}
override def dataPreparation(conn: Connection): Unit = {
conn.prepareStatement(
"CREATE TABLE employee (dept INT, name VARCHAR(32), salary NUMERIC(20, 2), bonus FLOAT)")
.executeUpdate()
conn.prepareStatement(
"""
|INSERT INTO employee VALUES
|(1, 'amy', 10000, 1000), (2, 'alex', 12000, 1200), (1, 'cathy', 9000, 1200),
|(2, 'david', 10000, 1300), (6, 'jen', 12000, 1200)
|""".stripMargin).executeUpdate()
}

override def notSupportsTableComment: Boolean = true

Expand Down Expand Up @@ -91,4 +102,9 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBC

assert(msg.contains("UpdateColumnNullability is not supported"))
}

testVarPop()
testVarSamp()
testStddevPop()
testStddevSamp()
}
15 changes: 15 additions & 0 deletions ...integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
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Expand Up @@ -57,13 +57,23 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTest {
override def sparkConf: SparkConf = super.sparkConf
.set("spark.sql.catalog.mysql", classOf[JDBCTableCatalog].getName)
.set("spark.sql.catalog.mysql.url", db.getJdbcUrl(dockerIp, externalPort))
.set("spark.sql.catalog.mysql.pushDownAggregate", "true")

override val connectionTimeout = timeout(7.minutes)

private var mySQLVersion = -1

override def dataPreparation(conn: Connection): Unit = {
mySQLVersion = conn.getMetaData.getDatabaseMajorVersion
conn.prepareStatement(
"CREATE TABLE employee (dept INT, name VARCHAR(32), salary DECIMAL(20, 2)," +
" bonus DOUBLE)").executeUpdate()
conn.prepareStatement(
"""
|INSERT INTO employee VALUES
| (1, 'amy', 10000, 1000), (2, 'alex', 12000, 1200), (1, 'cathy', 9000, 1200),
| (2, 'david', 10000, 1300), (6, 'jen', 12000, 1200)
|""".stripMargin).executeUpdate()
}

override def testUpdateColumnType(tbl: String): Unit = {
Expand Down Expand Up @@ -119,4 +129,9 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTest {
override def supportsIndex: Boolean = true

override def indexOptions: String = "KEY_BLOCK_SIZE=10"

testVarPop()
testVarSamp()
testStddevPop()
testStddevSamp()
}
30 changes: 29 additions & 1 deletion ...ntegration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
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Expand Up @@ -18,6 +18,7 @@
package org.apache.spark.sql.jdbc.v2

import java.sql.Connection
import java.util.Locale

import org.scalatest.time.SpanSugar._

Expand Down Expand Up @@ -56,6 +57,7 @@ import org.apache.spark.tags.DockerTest
@DockerTest
class OracleIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTest {
override val catalogName: String = "oracle"
override val namespaceOpt: Option[String] = Some("SYSTEM")
override val db = new DatabaseOnDocker {
lazy override val imageName =
sys.env.getOrElse("ORACLE_DOCKER_IMAGE_NAME", "gvenzl/oracle-xe:18.4.0")
Expand All @@ -73,9 +75,25 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTest
override def sparkConf: SparkConf = super.sparkConf
.set("spark.sql.catalog.oracle", classOf[JDBCTableCatalog].getName)
.set("spark.sql.catalog.oracle.url", db.getJdbcUrl(dockerIp, externalPort))
.set("spark.sql.catalog.oracle.pushDownAggregate", "true")

override val connectionTimeout = timeout(7.minutes)
override def dataPreparation(conn: Connection): Unit = {}

override def dataPreparation(conn: Connection): Unit = {
conn.prepareStatement(
"CREATE TABLE employee (dept NUMBER(32), name VARCHAR2(32), salary NUMBER(20, 2)," +
" bonus BINARY_DOUBLE)").executeUpdate()
conn.prepareStatement("INSERT INTO employee VALUES (1, 'amy', 10000, 1000)")
.executeUpdate()
conn.prepareStatement("INSERT INTO employee VALUES (2, 'alex', 12000, 1200)")
.executeUpdate()
conn.prepareStatement("INSERT INTO employee VALUES (1, 'cathy', 9000, 1200)")
.executeUpdate()
conn.prepareStatement("INSERT INTO employee VALUES (2, 'david', 10000, 1300)")
.executeUpdate()
conn.prepareStatement("INSERT INTO employee VALUES (6, 'jen', 12000, 1200)")
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Seems like every database can create table then insert values with multiple INSERT commands. Can we do it in the base class?

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First, each database supports different data types? There is no common CREATE TABLE statement.
Second, some databases support insert into table Values followed by multiple lines in succession. For example, Oracle does not support this syntax and only supports inserting one by one.
In addition, the performance of inserting multiple items at one time is generally better than inserting one item multiple times.

.executeUpdate()
}

override def testUpdateColumnType(tbl: String): Unit = {
sql(s"CREATE TABLE $tbl (ID INTEGER)")
Expand All @@ -93,4 +111,14 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTest
assert(msg1.contains(
s"Cannot update $catalogName.alt_table field ID: string cannot be cast to int"))
}

override def caseConvert(tableName: String): String = tableName.toUpperCase(Locale.ROOT)

testVarPop()
testVarSamp()
testStddevPop()
testStddevSamp()
testCovarPop()
testCovarSamp()
testCorr()
}
21 changes: 20 additions & 1 deletion ...egration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
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Expand Up @@ -51,8 +51,19 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTes
.set("spark.sql.catalog.postgresql.url", db.getJdbcUrl(dockerIp, externalPort))
.set("spark.sql.catalog.postgresql.pushDownTableSample", "true")
.set("spark.sql.catalog.postgresql.pushDownLimit", "true")
.set("spark.sql.catalog.postgresql.pushDownAggregate", "true")

override def dataPreparation(conn: Connection): Unit = {}
override def dataPreparation(conn: Connection): Unit = {
conn.prepareStatement(
"CREATE TABLE employee (dept INTEGER, name VARCHAR(32), salary NUMERIC(20, 2)," +
" bonus double precision)").executeUpdate()
conn.prepareStatement(
"""
|INSERT INTO employee VALUES
| (1, 'amy', 10000, 1000), (2, 'alex', 12000, 1200), (1, 'cathy', 9000, 1200),
| (2, 'david', 10000, 1300), (6, 'jen', 12000, 1200)
|""".stripMargin).executeUpdate()
}

override def testUpdateColumnType(tbl: String): Unit = {
sql(s"CREATE TABLE $tbl (ID INTEGER)")
Expand Down Expand Up @@ -84,4 +95,12 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite with V2JDBCTes
override def supportsIndex: Boolean = true

override def indexOptions: String = "FILLFACTOR=70"

testVarPop()
testVarSamp()
testStddevPop()
testStddevSamp()
testCovarPop()
testCovarSamp()
testCorr()
}
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