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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.expressions.codegen
import scala.annotation.tailrec
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.NoOp
import org.apache.spark.sql.catalyst.util.{ArrayBasedMapData, GenericArrayData}
import org.apache.spark.sql.types._
/**
* Java can not access Projection (in package object)
*/
abstract class BaseProjection extends Projection {}
/**
* Generates byte code that produces a [[MutableRow]] object (not an [[UnsafeRow]]) that can update
* itself based on a new input [[InternalRow]] for a fixed set of [[Expression Expressions]].
*/
object GenerateSafeProjection extends CodeGenerator[Seq[Expression], Projection] {
protected def canonicalize(in: Seq[Expression]): Seq[Expression] =
in.map(ExpressionCanonicalizer.execute)
protected def bind(in: Seq[Expression], inputSchema: Seq[Attribute]): Seq[Expression] =
in.map(BindReferences.bindReference(_, inputSchema))
private def createCodeForStruct(
ctx: CodegenContext,
input: String,
schema: StructType): ExprCode = {
val tmp = ctx.freshName("tmp")
val output = ctx.freshName("safeRow")
val values = ctx.freshName("values")
// These expressions could be split into multiple functions
ctx.addMutableState("Object[]", values, s"this.$values = null;")
val rowClass = classOf[GenericInternalRow].getName
val fieldWriters = schema.map(_.dataType).zipWithIndex.map { case (dt, i) =>
val converter = convertToSafe(ctx, ctx.getValue(tmp, dt, i.toString), dt)
s"""
if (!$tmp.isNullAt($i)) {
${converter.code}
$values[$i] = ${converter.value};
}
"""
}
val allFields = ctx.splitExpressions(tmp, fieldWriters)
val code = s"""
final InternalRow $tmp = $input;
this.$values = new Object[${schema.length}];
$allFields
final InternalRow $output = new $rowClass($values);
this.$values = null;
"""
ExprCode(code, "false", output)
}
private def createCodeForArray(
ctx: CodegenContext,
input: String,
elementType: DataType): ExprCode = {
val tmp = ctx.freshName("tmp")
val output = ctx.freshName("safeArray")
val values = ctx.freshName("values")
val numElements = ctx.freshName("numElements")
val index = ctx.freshName("index")
val arrayClass = classOf[GenericArrayData].getName
val elementConverter = convertToSafe(ctx, ctx.getValue(tmp, elementType, index), elementType)
val code = s"""
final ArrayData $tmp = $input;
final int $numElements = $tmp.numElements();
final Object[] $values = new Object[$numElements];
for (int $index = 0; $index < $numElements; $index++) {
if (!$tmp.isNullAt($index)) {
${elementConverter.code}
$values[$index] = ${elementConverter.value};
}
}
final ArrayData $output = new $arrayClass($values);
"""
ExprCode(code, "false", output)
}
private def createCodeForMap(
ctx: CodegenContext,
input: String,
keyType: DataType,
valueType: DataType): ExprCode = {
val tmp = ctx.freshName("tmp")
val output = ctx.freshName("safeMap")
val mapClass = classOf[ArrayBasedMapData].getName
val keyConverter = createCodeForArray(ctx, s"$tmp.keyArray()", keyType)
val valueConverter = createCodeForArray(ctx, s"$tmp.valueArray()", valueType)
val code = s"""
final MapData $tmp = $input;
${keyConverter.code}
${valueConverter.code}
final MapData $output = new $mapClass(${keyConverter.value}, ${valueConverter.value});
"""
ExprCode(code, "false", output)
}
@tailrec
private def convertToSafe(
ctx: CodegenContext,
input: String,
dataType: DataType): ExprCode = dataType match {
case s: StructType => createCodeForStruct(ctx, input, s)
case ArrayType(elementType, _) => createCodeForArray(ctx, input, elementType)
case MapType(keyType, valueType, _) => createCodeForMap(ctx, input, keyType, valueType)
// UTF8String act as a pointer if it's inside UnsafeRow, so copy it to make it safe.
case StringType => ExprCode("", "false", s"$input.clone()")
case udt: UserDefinedType[_] => convertToSafe(ctx, input, udt.sqlType)
case _ => ExprCode("", "false", input)
}
protected def create(expressions: Seq[Expression]): Projection = {
val ctx = newCodeGenContext()
val expressionCodes = expressions.zipWithIndex.map {
case (NoOp, _) => ""
case (e, i) =>
val evaluationCode = e.genCode(ctx)
val converter = convertToSafe(ctx, evaluationCode.value, e.dataType)
evaluationCode.code +
s"""
if (${evaluationCode.isNull}) {
mutableRow.setNullAt($i);
} else {
${converter.code}
${ctx.setColumn("mutableRow", e.dataType, i, converter.value)};
}
"""
}
val allExpressions = ctx.splitExpressions(ctx.INPUT_ROW, expressionCodes)
val codeBody = s"""
public java.lang.Object generate(Object[] references) {
return new SpecificSafeProjection(references);
}
class SpecificSafeProjection extends ${classOf[BaseProjection].getName} {
private Object[] references;
private MutableRow mutableRow;
${ctx.declareMutableStates()}
public SpecificSafeProjection(Object[] references) {
this.references = references;
mutableRow = (MutableRow) references[references.length - 1];
${ctx.initMutableStates()}
}
${ctx.declareAddedFunctions()}
public java.lang.Object apply(java.lang.Object _i) {
InternalRow ${ctx.INPUT_ROW} = (InternalRow) _i;
$allExpressions
return mutableRow;
}
}
"""
val code = CodeFormatter.stripOverlappingComments(
new CodeAndComment(codeBody, ctx.getPlaceHolderToComments()))
logDebug(s"code for ${expressions.mkString(",")}:\n${CodeFormatter.format(code)}")
val c = CodeGenerator.compile(code)
val resultRow = new SpecificMutableRow(expressions.map(_.dataType))
c.generate(ctx.references.toArray :+ resultRow).asInstanceOf[Projection]
}
}
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