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new 3c72fef476 [KYUUBI #6857] Spark 3.4: MaxScanStrategy supports DSv2
3c72fef476 is described below
commit 3c72fef4766a3f9a4e3ca3df85e38e4b656853f9
Author: zhaohehuhu <[email protected]>
AuthorDate: Tue Dec 24 20:24:03 2024 +0800
[KYUUBI #6857] Spark 3.4: MaxScanStrategy supports DSv2
### Why are the changes needed?
Backport https://github.com/apache/kyuubi/pull/5852 to Spark 3.4, to
enhance MaxScanStrategy to include support for the datasourcev2 in Spark 3.4
### How was this patch tested?
Add some UTs
### Was this patch authored or co-authored using generative AI tooling?
No
Closes #6857 from zhaohehuhu/dev-1224.
Closes #6857
c72c62984 [zhaohehuhu] remove the import
dfbf2bc2d [zhaohehuhu] MaxScanStrategy supports DSv2 in Spark 3.4
Authored-by: zhaohehuhu <[email protected]>
Signed-off-by: Cheng Pan <[email protected]>
---
.../kyuubi/sql/watchdog/MaxScanStrategy.scala | 35 ++++++++++++
...portStatisticsAndPartitionAwareDataSource.scala | 64 ++++++++++++++++++++++
.../spark/sql/ReportStatisticsDataSource.scala | 53 ++++++++++++++++++
.../org/apache/spark/sql/WatchDogSuiteBase.scala | 30 ++++++++++
4 files changed, 182 insertions(+)
diff --git
a/extensions/spark/kyuubi-extension-spark-3-4/src/main/scala/org/apache/kyuubi/sql/watchdog/MaxScanStrategy.scala
b/extensions/spark/kyuubi-extension-spark-3-4/src/main/scala/org/apache/kyuubi/sql/watchdog/MaxScanStrategy.scala
index 1ed55ebc2f..e647ad3250 100644
---
a/extensions/spark/kyuubi-extension-spark-3-4/src/main/scala/org/apache/kyuubi/sql/watchdog/MaxScanStrategy.scala
+++
b/extensions/spark/kyuubi-extension-spark-3-4/src/main/scala/org/apache/kyuubi/sql/watchdog/MaxScanStrategy.scala
@@ -25,6 +25,7 @@ import org.apache.spark.sql.catalyst.planning.ScanOperation
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.execution.SparkPlan
import org.apache.spark.sql.execution.datasources.{CatalogFileIndex,
HadoopFsRelation, InMemoryFileIndex, LogicalRelation}
+import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation
import org.apache.spark.sql.types.StructType
import org.apache.kyuubi.sql.KyuubiSQLConf
@@ -232,6 +233,40 @@ case class MaxScanStrategy(session: SparkSession)
logicalRelation.catalogTable)
}
}
+ case ScanOperation(
+ _,
+ _,
+ _,
+ relation @ DataSourceV2ScanRelation(_, _, _, _, _)) =>
+ val table = relation.relation.table
+ if (table.partitioning().nonEmpty) {
+ val partitionColumnNames = table.partitioning().map(_.describe())
+ val stats = relation.computeStats()
+ lazy val scanFileSize = stats.sizeInBytes
+ if (maxFileSizeOpt.exists(_ < scanFileSize)) {
+ throw new MaxFileSizeExceedException(
+ s"""
+ |SQL job scan file size in bytes: $scanFileSize
+ |exceed restrict of table scan maxFileSize
${maxFileSizeOpt.get}
+ |You should optimize your SQL logical according partition
structure
+ |or shorten query scope such as p_date, detail as below:
+ |Table: ${table.name()}
+ |Partition Structure: ${partitionColumnNames.mkString(",")}
+ |""".stripMargin)
+ }
+ } else {
+ val stats = relation.computeStats()
+ lazy val scanFileSize = stats.sizeInBytes
+ if (maxFileSizeOpt.exists(_ < scanFileSize)) {
+ throw new MaxFileSizeExceedException(
+ s"""
+ |SQL job scan file size in bytes: $scanFileSize
+ |exceed restrict of table scan maxFileSize
${maxFileSizeOpt.get}
+ |detail as below:
+ |Table: ${table.name()}
+ |""".stripMargin)
+ }
+ }
case _ =>
}
}
diff --git
a/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/ReportStatisticsAndPartitionAwareDataSource.scala
b/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/ReportStatisticsAndPartitionAwareDataSource.scala
new file mode 100644
index 0000000000..670d9ce7e4
--- /dev/null
+++
b/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/ReportStatisticsAndPartitionAwareDataSource.scala
@@ -0,0 +1,64 @@
+/*
+ * 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
+
+import java.util.OptionalLong
+
+import org.apache.spark.sql.connector.{RangeInputPartition, SimpleBatchTable,
SimpleScanBuilder, SimpleWritableDataSource}
+import org.apache.spark.sql.connector.catalog.Table
+import org.apache.spark.sql.connector.expressions.{Expressions,
FieldReference, Transform}
+import org.apache.spark.sql.connector.read._
+import
org.apache.spark.sql.connector.read.partitioning.{KeyGroupedPartitioning,
Partitioning}
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+class ReportStatisticsAndPartitionAwareDataSource extends
SimpleWritableDataSource {
+
+ class MyScanBuilder(
+ val partitionKeys: Seq[String]) extends SimpleScanBuilder
+ with SupportsReportStatistics with SupportsReportPartitioning {
+
+ override def estimateStatistics(): Statistics = {
+ new Statistics {
+ override def sizeInBytes(): OptionalLong = OptionalLong.of(80)
+
+ override def numRows(): OptionalLong = OptionalLong.of(10)
+
+ }
+ }
+
+ override def planInputPartitions(): Array[InputPartition] = {
+ Array(RangeInputPartition(0, 5), RangeInputPartition(5, 10))
+ }
+
+ override def outputPartitioning(): Partitioning = {
+ new KeyGroupedPartitioning(partitionKeys.map(FieldReference(_)).toArray,
10)
+ }
+ }
+
+ override def getTable(options: CaseInsensitiveStringMap): Table = {
+ new SimpleBatchTable {
+ override def newScanBuilder(options: CaseInsensitiveStringMap):
ScanBuilder = {
+ new MyScanBuilder(Seq("i"))
+ }
+
+ override def partitioning(): Array[Transform] = {
+ Array(Expressions.identity("i"))
+ }
+ }
+ }
+}
diff --git
a/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/ReportStatisticsDataSource.scala
b/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/ReportStatisticsDataSource.scala
new file mode 100644
index 0000000000..2035d35256
--- /dev/null
+++
b/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/ReportStatisticsDataSource.scala
@@ -0,0 +1,53 @@
+/*
+ * 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
+
+import java.util.OptionalLong
+
+import org.apache.spark.sql.connector._
+import org.apache.spark.sql.connector.catalog.Table
+import org.apache.spark.sql.connector.read._
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+class ReportStatisticsDataSource extends SimpleWritableDataSource {
+
+ class MyScanBuilder extends SimpleScanBuilder
+ with SupportsReportStatistics {
+
+ override def estimateStatistics(): Statistics = {
+ new Statistics {
+ override def sizeInBytes(): OptionalLong = OptionalLong.of(80)
+
+ override def numRows(): OptionalLong = OptionalLong.of(10)
+ }
+ }
+
+ override def planInputPartitions(): Array[InputPartition] = {
+ Array(RangeInputPartition(0, 5), RangeInputPartition(5, 10))
+ }
+
+ }
+
+ override def getTable(options: CaseInsensitiveStringMap): Table = {
+ new SimpleBatchTable {
+ override def newScanBuilder(options: CaseInsensitiveStringMap):
ScanBuilder = {
+ new MyScanBuilder
+ }
+ }
+ }
+}
diff --git
a/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/WatchDogSuiteBase.scala
b/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/WatchDogSuiteBase.scala
index 139efd9ca0..aec51cbd37 100644
---
a/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/WatchDogSuiteBase.scala
+++
b/extensions/spark/kyuubi-extension-spark-3-4/src/test/scala/org/apache/spark/sql/WatchDogSuiteBase.scala
@@ -23,6 +23,7 @@ import scala.collection.JavaConverters._
import org.apache.commons.io.FileUtils
import org.apache.spark.sql.catalyst.plans.logical.{GlobalLimit, LogicalPlan}
+import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation
import org.apache.kyuubi.sql.{KyuubiSQLConf, KyuubiSQLExtensionException}
import org.apache.kyuubi.sql.watchdog.{MaxFileSizeExceedException,
MaxPartitionExceedException}
@@ -607,4 +608,33 @@ trait WatchDogSuiteBase extends
KyuubiSparkSQLExtensionTest {
assert(e.getMessage == "Script transformation is not allowed")
}
}
+
+ test("watchdog with scan maxFileSize -- data source v2") {
+ val df =
spark.read.format(classOf[ReportStatisticsAndPartitionAwareDataSource].getName).load()
+ df.createOrReplaceTempView("test")
+ val logical = df.queryExecution.optimizedPlan.collect {
+ case d: DataSourceV2ScanRelation => d
+ }.head
+ val tableSize = logical.computeStats().sizeInBytes.toLong
+ withSQLConf(KyuubiSQLConf.WATCHDOG_MAX_FILE_SIZE.key ->
tableSize.toString) {
+ sql("SELECT * FROM test").queryExecution.sparkPlan
+ }
+ withSQLConf(KyuubiSQLConf.WATCHDOG_MAX_FILE_SIZE.key -> (tableSize /
2).toString) {
+ intercept[MaxFileSizeExceedException](
+ sql("SELECT * FROM test").queryExecution.sparkPlan)
+ }
+ val nonPartDf =
spark.read.format(classOf[ReportStatisticsDataSource].getName).load()
+ nonPartDf.createOrReplaceTempView("test_non_part")
+ val nonPartLogical = nonPartDf.queryExecution.optimizedPlan.collect {
+ case d: DataSourceV2ScanRelation => d
+ }.head
+ val nonPartTableSize = nonPartLogical.computeStats().sizeInBytes.toLong
+ withSQLConf(KyuubiSQLConf.WATCHDOG_MAX_FILE_SIZE.key ->
nonPartTableSize.toString) {
+ sql("SELECT * FROM test_non_part").queryExecution.sparkPlan
+ }
+ withSQLConf(KyuubiSQLConf.WATCHDOG_MAX_FILE_SIZE.key -> (nonPartTableSize
/ 2).toString) {
+ intercept[MaxFileSizeExceedException](
+ sql("SELECT * FROM test_non_part").queryExecution.sparkPlan)
+ }
+ }
}
