Feat: Add CometLocalTableScanExec operator #2735
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,48 @@ | ||
| /* | ||
| * 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 org.apache.comet.serde.operator | ||
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| import scala.jdk.CollectionConverters._ | ||
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| import org.apache.spark.sql.execution.LocalTableScanExec | ||
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| import org.apache.comet.{CometConf, ConfigEntry} | ||
| import org.apache.comet.serde.{CometOperatorSerde, OperatorOuterClass} | ||
| import org.apache.comet.serde.OperatorOuterClass.Operator | ||
| import org.apache.comet.serde.QueryPlanSerde.serializeDataType | ||
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| object CometLocalTableScan extends CometOperatorSerde[LocalTableScanExec] { | ||
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| override def enabledConfig: Option[ConfigEntry[Boolean]] = Some( | ||
| CometConf.COMET_EXEC_LOCAL_TABLE_SCAN_ENABLED) | ||
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| override def convert( | ||
| op: LocalTableScanExec, | ||
| builder: Operator.Builder, | ||
| childOp: Operator*): Option[Operator] = { | ||
| val scanTypes = op.output.flatten(attr => serializeDataType(attr.dataType)) | ||
| val scanBuilder = OperatorOuterClass.Scan | ||
| .newBuilder() | ||
| .setSource(op.getClass.getSimpleName) | ||
| .addAllFields(scanTypes.asJava) | ||
| .setArrowFfiSafe(false) | ||
| Some(builder.setScan(scanBuilder).build()) | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,119 @@ | ||
| /* | ||
| * 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 org.apache.spark.sql.comet | ||
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| import org.apache.spark.TaskContext | ||
| import org.apache.spark.rdd.RDD | ||
| import org.apache.spark.sql.catalyst.InternalRow | ||
| import org.apache.spark.sql.catalyst.expressions.{Attribute, UnsafeProjection} | ||
| import org.apache.spark.sql.comet.CometLocalTableScanExec.createMetricsIterator | ||
| import org.apache.spark.sql.comet.execution.arrow.CometArrowConverters | ||
| import org.apache.spark.sql.execution.{LeafExecNode, LocalTableScanExec} | ||
| import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics} | ||
| import org.apache.spark.sql.vectorized.ColumnarBatch | ||
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| import com.google.common.base.Objects | ||
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| import org.apache.comet.CometConf | ||
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| case class CometLocalTableScanExec( | ||
| originalPlan: LocalTableScanExec, | ||
| @transient rows: Seq[InternalRow], | ||
| override val output: Seq[Attribute]) | ||
| extends CometExec | ||
| with LeafExecNode { | ||
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| override lazy val metrics: Map[String, SQLMetric] = Map( | ||
| "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows")) | ||
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| @transient private lazy val unsafeRows: Array[InternalRow] = { | ||
| if (rows.isEmpty) { | ||
| Array.empty | ||
| } else { | ||
| val proj = UnsafeProjection.create(output, output) | ||
| rows.map(r => proj(r).copy()).toArray | ||
| } | ||
| } | ||
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| @transient private lazy val rdd: RDD[InternalRow] = { | ||
| if (rows.isEmpty) { | ||
| sparkContext.emptyRDD | ||
| } else { | ||
| val numSlices = math.min(unsafeRows.length, session.leafNodeDefaultParallelism) | ||
| sparkContext.parallelize(unsafeRows, numSlices) | ||
| } | ||
| } | ||
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| override def doExecuteColumnar(): RDD[ColumnarBatch] = { | ||
| val numInputRows = longMetric("numOutputRows") | ||
| val maxRecordsPerBatch = CometConf.COMET_BATCH_SIZE.get(conf) | ||
| val timeZoneId = conf.sessionLocalTimeZone | ||
| rdd.mapPartitionsInternal { sparkBatches => | ||
| val context = TaskContext.get() | ||
| val batches = CometArrowConverters.rowToArrowBatchIter( | ||
| sparkBatches, | ||
| originalPlan.schema, | ||
| maxRecordsPerBatch, | ||
| timeZoneId, | ||
| context) | ||
| createMetricsIterator(batches, numInputRows) | ||
| } | ||
| } | ||
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| override protected def stringArgs: Iterator[Any] = { | ||
| if (rows.isEmpty) { | ||
| Iterator("<empty>", output) | ||
| } else { | ||
| Iterator(output) | ||
| } | ||
| } | ||
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| override def supportsColumnar: Boolean = true | ||
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| override def equals(obj: Any): Boolean = { | ||
| obj match { | ||
| case other: CometLocalTableScanExec => | ||
| this.originalPlan == other.originalPlan && | ||
| this.schema == other.schema && | ||
| this.output == other.output | ||
| case _ => | ||
| false | ||
| } | ||
| } | ||
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| override def hashCode(): Int = Objects.hashCode(originalPlan, originalPlan.schema, output) | ||
| } | ||
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| object CometLocalTableScanExec { | ||
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| private def createMetricsIterator( | ||
| it: Iterator[ColumnarBatch], | ||
| numInputRows: SQLMetric): Iterator[ColumnarBatch] = { | ||
| new Iterator[ColumnarBatch] { | ||
| override def hasNext: Boolean = it.hasNext | ||
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| override def next(): ColumnarBatch = { | ||
| val batch = it.next() | ||
| numInputRows.add(batch.numRows()) | ||
| batch | ||
| } | ||
| } | ||
| } | ||
| } |
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Thanks, fixed