org.apache.spark.sql.catalyst.ProjectingInternalRow.scala Maven / Gradle / Ivy
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A table format for huge analytic datasets
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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.
*/
package org.apache.spark.sql.catalyst
import org.apache.spark.sql.catalyst.util.ArrayData
import org.apache.spark.sql.catalyst.util.MapData
import org.apache.spark.sql.types.DataType
import org.apache.spark.sql.types.Decimal
import org.apache.spark.sql.types.StructType
import org.apache.spark.unsafe.types.CalendarInterval
import org.apache.spark.unsafe.types.UTF8String
/**
* An InternalRow that projects particular columns from another InternalRow without copying
* the underlying data.
*/
case class ProjectingInternalRow(schema: StructType, colOrdinals: Seq[Int]) extends InternalRow {
assert(schema.size == colOrdinals.size)
private var row: InternalRow = _
override def numFields: Int = colOrdinals.size
def project(row: InternalRow): Unit = {
this.row = row
}
override def setNullAt(i: Int): Unit = {
throw new UnsupportedOperationException("Cannot modify InternalRowProjection")
}
override def update(i: Int, value: Any): Unit = {
throw new UnsupportedOperationException("Cannot modify InternalRowProjection")
}
override def copy(): InternalRow = {
val newRow = if (row != null) row.copy() else null
val newProjection = ProjectingInternalRow(schema, colOrdinals)
newProjection.project(newRow)
newProjection
}
override def isNullAt(ordinal: Int): Boolean = {
row.isNullAt(colOrdinals(ordinal))
}
override def getBoolean(ordinal: Int): Boolean = {
row.getBoolean(colOrdinals(ordinal))
}
override def getByte(ordinal: Int): Byte = {
row.getByte(colOrdinals(ordinal))
}
override def getShort(ordinal: Int): Short = {
row.getShort(colOrdinals(ordinal))
}
override def getInt(ordinal: Int): Int = {
row.getInt(colOrdinals(ordinal))
}
override def getLong(ordinal: Int): Long = {
row.getLong(colOrdinals(ordinal))
}
override def getFloat(ordinal: Int): Float = {
row.getFloat(colOrdinals(ordinal))
}
override def getDouble(ordinal: Int): Double = {
row.getDouble(colOrdinals(ordinal))
}
override def getDecimal(ordinal: Int, precision: Int, scale: Int): Decimal = {
row.getDecimal(colOrdinals(ordinal), precision, scale)
}
override def getUTF8String(ordinal: Int): UTF8String = {
row.getUTF8String(colOrdinals(ordinal))
}
override def getBinary(ordinal: Int): Array[Byte] = {
row.getBinary(colOrdinals(ordinal))
}
override def getInterval(ordinal: Int): CalendarInterval = {
row.getInterval(colOrdinals(ordinal))
}
override def getStruct(ordinal: Int, numFields: Int): InternalRow = {
row.getStruct(colOrdinals(ordinal), numFields)
}
override def getArray(ordinal: Int): ArrayData = {
row.getArray(colOrdinals(ordinal))
}
override def getMap(ordinal: Int): MapData = {
row.getMap(colOrdinals(ordinal))
}
override def get(ordinal: Int, dataType: DataType): AnyRef = {
row.get(colOrdinals(ordinal), dataType)
}
}