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[NSE-772] Code refactor for ColumnarBatchScan (oap-project#805)
* Override doCanonicalize in ColumnarBatchScanExec * Refactor ColumnarBatchScan
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native-sql-engine/core/src/main/scala/com/intel/oap/execution/ColumnarBatchScanExec.scala
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| /* | ||
| * 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. | ||
| */ | ||
|
|
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| package com.intel.oap.execution | ||
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| import com.intel.oap.GazellePluginConfig | ||
| import org.apache.spark.rdd.RDD | ||
| import org.apache.spark.sql.catalyst.expressions.{DynamicPruningExpression, Literal, _} | ||
| import org.apache.spark.sql.catalyst.plans.QueryPlan | ||
| import org.apache.spark.sql.connector.read.{Scan} | ||
| import org.apache.spark.sql.execution.metric.SQLMetrics | ||
| import org.apache.spark.sql.vectorized.ColumnarBatch | ||
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| class ColumnarBatchScanExec(output: Seq[AttributeReference], @transient scan: Scan, | ||
| runtimeFilters: Seq[Expression]) | ||
| extends ColumnarBatchScanExecBase(output, scan, runtimeFilters) { | ||
| val tmpDir: String = GazellePluginConfig.getConf.tmpFile | ||
| override def supportsColumnar(): Boolean = true | ||
| override lazy val metrics = Map( | ||
| "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows"), | ||
| "numInputBatches" -> SQLMetrics.createMetric(sparkContext, "input_batches"), | ||
| "numOutputBatches" -> SQLMetrics.createMetric(sparkContext, "output_batches"), | ||
| "scanTime" -> SQLMetrics.createTimingMetric(sparkContext, "totaltime_batchscan"), | ||
| "inputSize" -> SQLMetrics.createSizeMetric(sparkContext, "input size in bytes")) | ||
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| override def doExecuteColumnar(): RDD[ColumnarBatch] = { | ||
| val numOutputRows = longMetric("numOutputRows") | ||
| val numInputBatches = longMetric("numInputBatches") | ||
| val numOutputBatches = longMetric("numOutputBatches") | ||
| val scanTime = longMetric("scanTime") | ||
| val inputSize = longMetric("inputSize") | ||
| val inputColumnarRDD = | ||
| new ColumnarDataSourceRDD(sparkContext, partitions, readerFactory, | ||
| true, scanTime, numInputBatches, inputSize, tmpDir) | ||
| inputColumnarRDD.map { r => | ||
| numOutputRows += r.numRows() | ||
| numOutputBatches += 1 | ||
| r | ||
| } | ||
| } | ||
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| override def doCanonicalize(): ColumnarBatchScanExec = { | ||
| if (runtimeFilters == null) { | ||
| // For spark3.1. | ||
| new ColumnarBatchScanExec(output.map(QueryPlan.normalizeExpressions(_, output)), scan, null) | ||
| } else { | ||
| // For spark3.2. | ||
| new ColumnarBatchScanExec( | ||
| output.map(QueryPlan.normalizeExpressions(_, output)), scan, | ||
| QueryPlan.normalizePredicates( | ||
| runtimeFilters.filterNot(_ == DynamicPruningExpression(Literal.TrueLiteral)), | ||
| output)) | ||
| } | ||
| } | ||
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| override def canEqual(other: Any): Boolean = other.isInstanceOf[ColumnarBatchScanExec] | ||
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| override def equals(other: Any): Boolean = other match { | ||
| case that: ColumnarBatchScanExec => | ||
| (that canEqual this) && super.equals(that) | ||
| case _ => false | ||
| } | ||
| } |
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52 changes: 0 additions & 52 deletions
52
shims/spark311/src/main/scala/com/intel/oap/execution/ColumnarBatchScanExec.scala
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shims/spark311/src/main/scala/com/intel/oap/execution/ColumnarBatchScanExecBase.scala
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,30 @@ | ||
| /* | ||
| * 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. | ||
| */ | ||
|
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| package com.intel.oap.execution | ||
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| import org.apache.spark.sql.catalyst.expressions._ | ||
| import org.apache.spark.sql.execution.datasources.v2.BatchScanExec | ||
| import org.apache.spark.sql.connector.read.Scan | ||
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| /** For spark 3.1, the runtimeFilters: Seq[Expression] is not introduced in BatchScanExec. | ||
| */ | ||
| abstract class ColumnarBatchScanExecBase(output: Seq[AttributeReference], @transient scan: Scan, | ||
| runtimeFilters: Seq[Expression]) | ||
| extends BatchScanExec(output, scan) { | ||
|
|
||
| } |
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53 changes: 0 additions & 53 deletions
53
shims/spark321/src/main/scala/com/intel/oap/execution/ColumnarBatchScanExec.scala
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shims/spark321/src/main/scala/com/intel/oap/execution/ColumnarBatchScanExecBase.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,31 @@ | ||
| /* | ||
| * 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. | ||
| */ | ||
|
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| package com.intel.oap.execution | ||
|
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| import org.apache.spark.sql.catalyst.expressions._ | ||
| import org.apache.spark.sql.execution.datasources.v2.BatchScanExec | ||
| import org.apache.spark.sql.connector.read.Scan | ||
|
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| /** | ||
| * This class is used to adapt to spark3.2 BatchScanExec with runtimeFilters. | ||
| */ | ||
| abstract class ColumnarBatchScanExecBase(output: Seq[AttributeReference], @transient scan: Scan, | ||
| runtimeFilters: Seq[Expression]) | ||
| extends BatchScanExec(output, scan, runtimeFilters) { | ||
|
|
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| } |
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