org.apache.spark.sql.execution.LocalTableScanExec.scala Maven / Gradle / Ivy
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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,
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package org.apache.spark.sql.execution
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.execution.metric.SQLMetrics
/**
* Physical plan node for scanning data from a local collection.
*/
case class LocalTableScanExec(
output: Seq[Attribute],
@transient rows: Seq[InternalRow]) extends LeafExecNode {
override lazy val metrics = Map(
"numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows"))
@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
}
}
private lazy val numParallelism: Int = math.min(math.max(unsafeRows.length, 1),
sqlContext.sparkContext.defaultParallelism)
private lazy val rdd = sqlContext.sparkContext.parallelize(unsafeRows, numParallelism)
protected override def doExecute(): RDD[InternalRow] = {
val numOutputRows = longMetric("numOutputRows")
rdd.map { r =>
numOutputRows += 1
r
}
}
override protected def stringArgs: Iterator[Any] = {
if (rows.isEmpty) {
Iterator("", output)
} else {
Iterator(output)
}
}
override def executeCollect(): Array[InternalRow] = {
longMetric("numOutputRows").add(unsafeRows.size)
unsafeRows
}
override def executeTake(limit: Int): Array[InternalRow] = {
val taken = unsafeRows.take(limit)
longMetric("numOutputRows").add(taken.size)
taken
}
}