/**
* 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 java.nio.charset.StandardCharsets;
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 column expressions.
* The first is always a boolean (LongColumnVector).
* The second is a string scalar.
* The third is a string column or non-constant expression result.
*/
public class IfExprStringScalarStringGroupColumn extends VectorExpression {
private static final long serialVersionUID = 1L;
private int arg1Column, arg3Column;
private byte[] arg2Scalar;
private int outputColumn;
public IfExprStringScalarStringGroupColumn(int arg1Column, byte[] arg2Scalar, int arg3Column, int outputColumn) {
this.arg1Column = arg1Column;
this.arg2Scalar = arg2Scalar;
this.arg3Column = arg3Column;
this.outputColumn = outputColumn;
}
public IfExprStringScalarStringGroupColumn() {
super();
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
LongColumnVector arg1ColVector = (LongColumnVector) batch.cols[arg1Column];
BytesColumnVector arg3ColVector = (BytesColumnVector) batch.cols[arg3Column];
BytesColumnVector outputColVector = (BytesColumnVector) batch.cols[outputColumn];
int[] sel = batch.selected;
boolean[] outputIsNull = outputColVector.isNull;
outputColVector.noNulls = arg3ColVector.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 arg3 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) {
outputColVector.fill(arg2Scalar);
} else {
arg3ColVector.copySelected(batch.selectedInUse, sel, n, outputColVector);
}
return;
}
// extend any repeating values and noNulls indicator in the input
arg3ColVector.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) {
outputColVector.setRef(i, arg2Scalar, 0, arg2Scalar.length);
} else {
if (!arg3ColVector.isNull[i]) {
outputColVector.setVal(
i, arg3ColVector.vector[i], arg3ColVector.start[i], arg3ColVector.length[i]);
}
}
outputIsNull[i] = (vector1[i] == 1 ? false : arg3ColVector.isNull[i]);
}
} else {
for(int i = 0; i != n; i++) {
if (vector1[i] == 1) {
outputColVector.setRef(i, arg2Scalar, 0, arg2Scalar.length);
} else {
if (!arg3ColVector.isNull[i]) {
outputColVector.setVal(
i, arg3ColVector.vector[i], arg3ColVector.start[i], arg3ColVector.length[i]);
}
}
outputIsNull[i] = (vector1[i] == 1 ? false : arg3ColVector.isNull[i]);
}
}
} 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) {
outputColVector.setRef(i, arg2Scalar, 0, arg2Scalar.length);
} else {
if (!arg3ColVector.isNull[i]) {
outputColVector.setVal(
i, arg3ColVector.vector[i], arg3ColVector.start[i], arg3ColVector.length[i]);
}
}
outputIsNull[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ?
false : arg3ColVector.isNull[i]);
}
} else {
for(int i = 0; i != n; i++) {
if (!arg1ColVector.isNull[i] && vector1[i] == 1) {
outputColVector.setRef(i, arg2Scalar, 0, arg2Scalar.length);
} else {
if (!arg3ColVector.isNull[i]) {
outputColVector.setVal(
i, arg3ColVector.vector[i], arg3ColVector.start[i], arg3ColVector.length[i]);
}
}
outputIsNull[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ?
false : arg3ColVector.isNull[i]);
}
}
}
// restore state of repeating and non nulls indicators
arg3ColVector.unFlatten();
}
@Override
public int getOutputColumn() {
return outputColumn;
}
@Override
public String getOutputType() {
return "String";
}
@Override
public String vectorExpressionParameters() {
return "col " + arg1Column + ", val "+ displayUtf8Bytes(arg2Scalar) + ", col "+ arg3Column;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
return (new VectorExpressionDescriptor.Builder())
.setMode(
VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(3)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.INT_FAMILY,
VectorExpressionDescriptor.ArgumentType.STRING,
VectorExpressionDescriptor.ArgumentType.STRING_FAMILY)
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN,
VectorExpressionDescriptor.InputExpressionType.SCALAR,
VectorExpressionDescriptor.InputExpressionType.COLUMN).build();
}
}