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[SPARK-52823][SQL] Support DSv2 Join pushdown for Oracle connector #51519
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[SPARK-52823][SQL] Support DSv2 Join pushdown for Oracle connector #51519
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checkAnswer(df, rows) | ||
} | ||
} | ||
} |
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can we have an ANTI JOIN as well?
or is that unsupported?
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anti join is not supported for pushdown, but yes, Spark has anti join
import org.apache.spark.sql.execution.datasources.v2.{DataSourceV2ScanRelation, V1ScanWrapper} | ||
import org.apache.spark.sql.internal.SQLConf | ||
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trait V2JDBCPushdownTestUtils extends ExplainSuiteHelper { |
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What do you think about DataSourcePushdownTestUtils
?
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Out of v2 folder, in connector folder
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I've put it in sql/connector
sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcSQLQueryBuilder.scala
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assert(aggregates.isEmpty) | ||
} | ||
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private def checkAggregatePushed(df: DataFrame, funcName: String): Unit = { |
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Good change
import org.apache.spark.sql.test.SharedSparkSession | ||
import org.apache.spark.util.Utils | ||
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class JDBCV2JoinPushdownSuite extends QueryTest with SharedSparkSession with ExplainSuiteHelper { | ||
class JDBCV2JoinPushdownSuite |
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It is confusing to have jdbc.JDBCV2JoinPushdownSuite
and v2.JDBCJoinPushdownIntegrationSuite
. Can we name them somehow better?
sql/core/src/test/scala/org/apache/spark/sql/jdbc/v2/JDBCJoinPushdownIntegrationSuite.scala
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sql/core/src/test/scala/org/apache/spark/sql/jdbc/v2/JDBCJoinPushdownIntegrationSuite.scala
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sql/core/src/test/scala/org/apache/spark/sql/jdbc/v2/JDBCJoinPushdownIntegrationSuite.scala
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def qualifyTableName(tableName: String): String = namespaceOpt | ||
.map(namespace => s"$namespace.$tableName").getOrElse(tableName) | ||
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private val fullyQualifiedTableName1: String = qualifyTableName(joinTableName1) |
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If someone overrides qualifyTableName
, our val would be calculated in initialization of object, so would it use overriden method?
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it might take the base method, so I changed it to lazy
instead
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protected def caseConvert(tableName: String): String = tableName | ||
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protected def withConnection[T](f: Connection => T): T = { |
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Can we make this suite more generic and to decouple it from JDBC to make it reusable by other non JDBC connectors?
Maybe some class hieararchy like:
JoinPushdownIntegrationSuiteBase
JDBCJoinPushdownIntegrationSuiteBase extends JoinPushdownIntegrationSuiteBase
OracleJoinPushdownIntegrationSuiteBase extends JDBCJoinPushdownIntegrationSuiteBase
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I would do it in separate PR if it's fine with you.
val random = new java.util.Random(42) | ||
val table1Data = (1 to 100).map { i => | ||
val id = i % 11 | ||
val amount = BigDecimal.valueOf(random.nextDouble() * 10000) | ||
.setScale(2, BigDecimal.RoundingMode.HALF_UP) | ||
val address = s"address_$i" | ||
(id, amount, address) | ||
} | ||
val table2Data = (1 to 100).map { i => | ||
val id = (i % 17) | ||
val next_id = (id + 1) % 17 | ||
val salary = BigDecimal.valueOf(random.nextDouble() * 50000) | ||
.setScale(2, BigDecimal.RoundingMode.HALF_UP) | ||
val surname = s"surname_$i" | ||
(id, next_id, salary, surname) | ||
} |
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Can this make some flakiness?
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Is 42 seed of Random function?
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42 is seed, so shouldn't be flaky
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override val url = s"jdbc:h2:${tempDir.getCanonicalPath};user=testUser;password=testPass" | ||
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override val catalogName: String = "h2" | ||
override val namespaceOpt: Option[String] = Some("test") |
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why it's an opt? most dialects must have a schema, right?
.set("spark.sql.catalog.h2.pushDownAggregate", "true") | ||
.set("spark.sql.catalog.h2.pushDownLimit", "true") | ||
.set("spark.sql.catalog.h2.pushDownOffset", "true") | ||
.set("spark.sql.catalog.h2.pushDownJoin", "true") |
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shall we move most of the conf settings to the parent class? then here we only need
override def sparkConf: SparkConf = super.sparkConf.set("spark.sql.catalog.h2.driver", "org.h2.Driver")
val tempDir = Utils.createTempDir() | ||
override val url = s"jdbc:h2:${tempDir.getCanonicalPath};user=testUser;password=testPass" | ||
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override val catalogName: String = "h2" |
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seems the catalog name doesn't matter for the test cases, shall we just hardcode jdbc_test
in the parent class?
What changes were proposed in this pull request?
In #50921, Join pushdown was added for DSv2 and it was only enabled for H2 dialect.
With this PR, I am enabling DSv2 join pushdown for Oracle connector as well.
For this purpose,
OracleDialect
has nowsupportsJoin
equal to true.Also, changed SQL query generation to use
tableOrQuery
method instead ofoptions.tableOrQuery
.The rest of the change is test only:
V2JDBCTest
to new traitV2JDBCPushdownTestUtils
JDBCJoinPushdownIntegrationSuite
that can be used for testing other connectors as wellOracleJoinPushdownIntegrationSuite
as the first implementation of the traitJDBCV2JoinPushdownSuite
to inheritJDBCJoinPushdownIntegrationSuite
Why are the changes needed?
Does this PR introduce any user-facing change?
Inner joins will be pushed down to Oracle data source only if
spark.sql.optimizer.datasourceV2JoinPushdown
SQL conf is set to true. Currently, the default value is false.Previously, Spark SQL query
would produce the following Optimized plan:
Now, with join pushdown enabled, the plan would be:
When join is pushed down, the physical plan will contain
PushedJoins
information, which is the array of all the tables joined. For example, in the above case it would be:The generated SQL query would be:
How was this patch tested?
New tests.
Was this patch authored or co-authored using generative AI tooling?