c21 commented on a change in pull request #29804:
URL: https://github.com/apache/spark/pull/29804#discussion_r497239920
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -951,6 +951,18 @@ object SQLConf {
.checkValue(_ > 0, "the value of spark.sql.sources.bucketing.maxBuckets
must be greater than 0")
.createWithDefault(100000)
+ val AUTO_BUCKETED_SCAN_ENABLED =
+ buildConf("spark.sql.sources.bucketing.autoBucketedScan.enabled")
+ .internal()
+ .doc("When true, decide whether to do bucketed scan on input tables
based on query plan " +
+ "automatically. Do not use bucketed scan if 1.query does not have
operators to utilize " +
+ "bucketing (e.g. join, group-by, etc), or 2.there's an exchange
operator between these " +
+ "operators and table scan. Note when
spark.sql.sources.bucketing.enabled is set to " +
Review comment:
updated.
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/bucketing/DisableUnnecessaryBucketedScan.scala
##########
@@ -0,0 +1,161 @@
+/*
+ * 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.execution.bucketing
+
+import org.apache.spark.sql.catalyst.plans.physical.{ClusteredDistribution,
HashClusteredDistribution}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.execution.{FileSourceScanExec, FilterExec,
ProjectExec, SortExec, SparkPlan}
+import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
+import org.apache.spark.sql.execution.exchange.Exchange
+import org.apache.spark.sql.internal.SQLConf
+
+/**
+ * Disable unnecessary bucketed table scan based on actual physical query plan.
+ * NOTE: this rule is designed to be applied right after
[[EnsureRequirements]],
+ * where all [[ShuffleExchangeExec]] and [[SortExec]] have been added to plan
properly.
+ *
+ * When BUCKETING_ENABLED and AUTO_BUCKETED_SCAN_ENABLED are set to true, go
through
+ * query plan to check where bucketed table scan is unnecessary, and disable
bucketed table
+ * scan if:
+ *
+ * 1.The sub-plan from root to bucketed table scan, does not contain
+ * [[hasInterestingPartition]] operator.
+ *
+ * 2.The sub-plan from the nearest downstream [[hasInterestingPartition]]
operator
+ * to the bucketed table scan, contains only [[isAllowedUnaryExecNode]]
operators
+ * and at least one [[Exchange]].
+ *
+ * Examples:
+ * 1.no [[hasInterestingPartition]] operator:
Review comment:
updated.
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -951,6 +951,18 @@ object SQLConf {
.checkValue(_ > 0, "the value of spark.sql.sources.bucketing.maxBuckets
must be greater than 0")
.createWithDefault(100000)
+ val AUTO_BUCKETED_SCAN_ENABLED =
+ buildConf("spark.sql.sources.bucketing.autoBucketedScan.enabled")
+ .internal()
+ .doc("When true, decide whether to do bucketed scan on input tables
based on query plan " +
+ "automatically. Do not use bucketed scan if 1.query does not have
operators to utilize " +
Review comment:
@maropu , @viirya - sure, updated.
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -951,6 +951,18 @@ object SQLConf {
.checkValue(_ > 0, "the value of spark.sql.sources.bucketing.maxBuckets
must be greater than 0")
.createWithDefault(100000)
+ val AUTO_BUCKETED_SCAN_ENABLED =
+ buildConf("spark.sql.sources.bucketing.autoBucketedScan.enabled")
+ .internal()
+ .doc("When true, decide whether to do bucketed scan on input tables
based on query plan " +
+ "automatically. Do not use bucketed scan if 1.query does not have
operators to utilize " +
+ "bucketing (e.g. join, group-by, etc), or 2.there's an exchange
operator between these " +
Review comment:
updated.
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/bucketing/DisableUnnecessaryBucketedScan.scala
##########
@@ -0,0 +1,161 @@
+/*
+ * 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.execution.bucketing
+
+import org.apache.spark.sql.catalyst.plans.physical.{ClusteredDistribution,
HashClusteredDistribution}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.execution.{FileSourceScanExec, FilterExec,
ProjectExec, SortExec, SparkPlan}
+import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
+import org.apache.spark.sql.execution.exchange.Exchange
+import org.apache.spark.sql.internal.SQLConf
+
+/**
+ * Disable unnecessary bucketed table scan based on actual physical query plan.
+ * NOTE: this rule is designed to be applied right after
[[EnsureRequirements]],
+ * where all [[ShuffleExchangeExec]] and [[SortExec]] have been added to plan
properly.
+ *
+ * When BUCKETING_ENABLED and AUTO_BUCKETED_SCAN_ENABLED are set to true, go
through
+ * query plan to check where bucketed table scan is unnecessary, and disable
bucketed table
+ * scan if:
+ *
+ * 1.The sub-plan from root to bucketed table scan, does not contain
+ * [[hasInterestingPartition]] operator.
+ *
+ * 2.The sub-plan from the nearest downstream [[hasInterestingPartition]]
operator
+ * to the bucketed table scan, contains only [[isAllowedUnaryExecNode]]
operators
+ * and at least one [[Exchange]].
+ *
+ * Examples:
+ * 1.no [[hasInterestingPartition]] operator:
+ * Project
+ * |
+ * Filter
+ * |
+ * Scan(t1: i, j)
+ * (bucketed on column j, DISABLE bucketed scan)
+ *
+ * 2.join:
Review comment:
updated.
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/bucketing/DisableUnnecessaryBucketedScan.scala
##########
@@ -0,0 +1,161 @@
+/*
+ * 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.execution.bucketing
+
+import org.apache.spark.sql.catalyst.plans.physical.{ClusteredDistribution,
HashClusteredDistribution}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.execution.{FileSourceScanExec, FilterExec,
ProjectExec, SortExec, SparkPlan}
+import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
+import org.apache.spark.sql.execution.exchange.Exchange
+import org.apache.spark.sql.internal.SQLConf
+
+/**
+ * Disable unnecessary bucketed table scan based on actual physical query plan.
+ * NOTE: this rule is designed to be applied right after
[[EnsureRequirements]],
+ * where all [[ShuffleExchangeExec]] and [[SortExec]] have been added to plan
properly.
+ *
+ * When BUCKETING_ENABLED and AUTO_BUCKETED_SCAN_ENABLED are set to true, go
through
+ * query plan to check where bucketed table scan is unnecessary, and disable
bucketed table
+ * scan if:
+ *
+ * 1.The sub-plan from root to bucketed table scan, does not contain
+ * [[hasInterestingPartition]] operator.
+ *
+ * 2.The sub-plan from the nearest downstream [[hasInterestingPartition]]
operator
Review comment:
updated.
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