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[CORE] fix UnsupportedOperationException caused by gluten C2R (#4165)
[VL] fix UnsupportedOperationException caused by gluten C2R
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gluten-core/src/main/scala/io/glutenproject/utils/PlanUtil.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,80 @@ | ||
| /* | ||
| * 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 io.glutenproject.utils | ||
|
|
||
| import io.glutenproject.extension.GlutenPlan | ||
|
|
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| import org.apache.spark.sql.execution._ | ||
| import org.apache.spark.sql.execution.adaptive._ | ||
| import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec | ||
| import org.apache.spark.sql.execution.exchange._ | ||
|
|
||
| object PlanUtil { | ||
| private def isGlutenTableCacheInternal(i: InMemoryTableScanExec): Boolean = { | ||
| // `ColumnarCachedBatchSerializer` is at velox module, so use class name here | ||
| i.relation.cacheBuilder.serializer.getClass.getSimpleName == "ColumnarCachedBatchSerializer" && | ||
| i.supportsColumnar | ||
| } | ||
|
|
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| def isGlutenTableCache(plan: SparkPlan): Boolean = { | ||
| plan match { | ||
| case i: InMemoryTableScanExec => | ||
| isGlutenTableCacheInternal(i) | ||
| case q: QueryStageExec => | ||
| // Compatible with Spark3.5 `TableCacheQueryStage` | ||
| isGlutenTableCache(q.plan) | ||
| case _ => false | ||
| } | ||
| } | ||
|
|
||
| def outputNativeColumnarData(plan: SparkPlan): Boolean = { | ||
| plan match { | ||
| case a: AQEShuffleReadExec => outputNativeColumnarData(a.child) | ||
| case s: QueryStageExec => outputNativeColumnarData(s.plan) | ||
| case s: ReusedExchangeExec => outputNativeColumnarData(s.child) | ||
| case s: InputAdapter => outputNativeColumnarData(s.child) | ||
| case s: WholeStageCodegenExec => outputNativeColumnarData(s.child) | ||
| case s: AdaptiveSparkPlanExec => outputNativeColumnarData(s.executedPlan) | ||
| case i: InMemoryTableScanExec => PlanUtil.isGlutenTableCache(i) | ||
| case _: GlutenPlan => true | ||
| case _ => false | ||
| } | ||
| } | ||
|
|
||
| def isVanillaColumnarOp(plan: SparkPlan): Boolean = { | ||
| plan match { | ||
| case i: InMemoryTableScanExec => | ||
| if (PlanUtil.isGlutenTableCache(i)) { | ||
| // `InMemoryTableScanExec` do not need extra RowToColumnar or ColumnarToRow | ||
| false | ||
| } else { | ||
| !plan.isInstanceOf[GlutenPlan] && plan.supportsColumnar | ||
| } | ||
| case a: AQEShuffleReadExec => isVanillaColumnarOp(a.child) | ||
| case s: QueryStageExec => isVanillaColumnarOp(s.plan) | ||
| case _: RowToColumnarExec => false | ||
| case _: InputAdapter => false | ||
| case _: WholeStageCodegenExec => false | ||
| case r: ReusedExchangeExec => isVanillaColumnarOp(r.child) | ||
| case _ => !plan.isInstanceOf[GlutenPlan] && plan.supportsColumnar | ||
| } | ||
| } | ||
|
|
||
| def isGlutenColumnarOp(plan: SparkPlan): Boolean = { | ||
| plan.isInstanceOf[GlutenPlan] | ||
| } | ||
| } |
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