/**
* 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.hadoop.hive.ql.exec.vector.expressions;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
/**
* Compute IF(expr1, expr2, expr3) for 3 input expressions.
* The first is always a boolean (LongColumnVector).
* The second is a string column expression.
* The third is a string scalar.
*/
public class IfExprStringColumnStringScalar extends VectorExpression {
private static final long serialVersionUID = 1L;
private int arg1Column, arg2Column;
private byte[] arg3Scalar;
private int outputColumn;
public IfExprStringColumnStringScalar(int arg1Column, int arg2Column, byte[] arg3Scalar, int outputColumn) {
this.arg1Column = arg1Column;
this.arg2Column = arg2Column;
this.arg3Scalar = arg3Scalar;
this.outputColumn = outputColumn;
}
public IfExprStringColumnStringScalar() {
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
LongColumnVector arg1ColVector = (LongColumnVector) batch.cols[arg1Column];
BytesColumnVector arg2ColVector = (BytesColumnVector) batch.cols[arg2Column];
BytesColumnVector outputColVector = (BytesColumnVector) batch.cols[outputColumn];
int[] sel = batch.selected;
boolean[] outputIsNull = outputColVector.isNull;
outputColVector.noNulls = arg2ColVector.noNulls;
outputColVector.isRepeating = false; // may override later
int n = batch.size;
long[] vector1 = arg1ColVector.vector;
// return immediately if batch is empty
if (n == 0) {
return;
}
outputColVector.initBuffer();
/* All the code paths below propagate nulls even if arg2 has no nulls.
* This is to reduce the number of code paths and shorten the
* code, at the expense of maybe doing unnecessary work if neither input
* has nulls. This could be improved in the future by expanding the number
* of code paths.
*/
if (arg1ColVector.isRepeating) {
if (vector1[0] == 1) {
arg2ColVector.copySelected(batch.selectedInUse, sel, n, outputColVector);
} else {
outputColVector.fill(arg3Scalar);
}
return;
}
// extend any repeating values and noNulls indicator in the inputs
arg2ColVector.flatten(batch.selectedInUse, sel, n);
if (arg1ColVector.noNulls) {
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
if (vector1[i] == 1) {
if (!arg2ColVector.isNull[i]) {
outputColVector.setVal(
i, arg2ColVector.vector[i], arg2ColVector.start[i], arg2ColVector.length[i]);
}
} else {
outputColVector.setRef(i, arg3Scalar, 0, arg3Scalar.length);
}
outputIsNull[i] = (vector1[i] == 1 ? arg2ColVector.isNull[i] : false);
}
} else {
for(int i = 0; i != n; i++) {
if (vector1[i] == 1) {
if (!arg2ColVector.isNull[i]) {
outputColVector.setVal(
i, arg2ColVector.vector[i], arg2ColVector.start[i], arg2ColVector.length[i]);
}
} else {
outputColVector.setRef(i, arg3Scalar, 0, arg3Scalar.length);
}
outputIsNull[i] = (vector1[i] == 1 ? arg2ColVector.isNull[i] : false);
}
}
} else /* there are nulls */ {
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
if (!arg1ColVector.isNull[i] && vector1[i] == 1) {
if (!arg2ColVector.isNull[i]) {
outputColVector.setVal(
i, arg2ColVector.vector[i], arg2ColVector.start[i], arg2ColVector.length[i]);
}
} else {
outputColVector.setRef(i, arg3Scalar, 0, arg3Scalar.length);
}
outputIsNull[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ?
arg2ColVector.isNull[i] : false);
}
} else {
for(int i = 0; i != n; i++) {
if (!arg1ColVector.isNull[i] && vector1[i] == 1) {
if (!arg2ColVector.isNull[i]) {
outputColVector.setVal(
i, arg2ColVector.vector[i], arg2ColVector.start[i], arg2ColVector.length[i]);
}
} else {
outputColVector.setRef(i, arg3Scalar, 0, arg3Scalar.length);
}
outputIsNull[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ?
arg2ColVector.isNull[i] : false);
}
}
}
// restore state of repeating and non nulls indicators
arg2ColVector.unFlatten();
}
@Override
public int getOutputColumn() {
return outputColumn;
}
@Override
public String getOutputType() {
return "String";
}
public int getArg1Column() {
return arg1Column;
}
public void setArg1Column(int colNum) {
this.arg1Column = colNum;
}
public int getArg2Column() {
return arg2Column;
}
public void setArg2Column(int colNum) {
this.arg2Column = colNum;
}
public byte[] getArg3Scalar() {
return arg3Scalar;
}
public void setArg3Scalar(byte[] value) {
this.arg3Scalar = value;
}
public void setOutputColumn(int outputColumn) {
this.outputColumn = outputColumn;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
return (new VectorExpressionDescriptor.Builder())
.setMode(
VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(3)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.getType("long"),
VectorExpressionDescriptor.ArgumentType.getType("string"),
VectorExpressionDescriptor.ArgumentType.getType("string"))
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN,
VectorExpressionDescriptor.InputExpressionType.COLUMN,
VectorExpressionDescriptor.InputExpressionType.SCALAR).build();
}
}