/**
* 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.BytesColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
/**
* Vectorized instruction to concatenate a scalar to a string column and put
* the result in an output column.
*/
public class StringConcatScalarCol extends VectorExpression {
private static final long serialVersionUID = 1L;
private int colNum;
private int outputColumn;
private byte[] value;
public StringConcatScalarCol(byte[] value, int colNum, int outputColumn) {
this();
this.colNum = colNum;
this.outputColumn = outputColumn;
this.value = value;
}
public StringConcatScalarCol() {
super();
}
@Override
public void evaluate(VectorizedRowBatch batch) {
BytesColumnVector inputColVector = (BytesColumnVector) batch.cols[colNum];
BytesColumnVector outV = (BytesColumnVector) batch.cols[outputColumn];
int[] sel = batch.selected;
int n = batch.size;
byte[][] vector = inputColVector.vector;
int[] start = inputColVector.start;
int[] length = inputColVector.length;
if (n == 0) {
// Nothing to do
return;
}
// initialize output vector buffer to receive data
outV.initBuffer();
if (inputColVector.noNulls) {
outV.noNulls = true;
if (inputColVector.isRepeating) {
outV.isRepeating = true;
outV.setConcat(0, value, 0, value.length, vector[0], start[0], length[0]);
} else if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
outV.setConcat(i, value, 0, value.length, vector[i], start[i], length[i]);
}
outV.isRepeating = false;
} else {
for(int i = 0; i != n; i++) {
outV.setConcat(i, value, 0, value.length, vector[i], start[i], length[i]);
}
outV.isRepeating = false;
}
} else {
/*
* Handle case with nulls. Don't do function if the value is null, to save time,
* because calling the function can be expensive.
*/
outV.noNulls = false;
if (inputColVector.isRepeating) {
outV.isRepeating = true;
outV.isNull[0] = inputColVector.isNull[0];
if (!inputColVector.isNull[0]) {
outV.setConcat(0, value, 0, value.length, vector[0], start[0], length[0]);
}
} else if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
if (!inputColVector.isNull[i]) {
outV.setConcat(i, value, 0, value.length, vector[i], start[i], length[i]);
}
outV.isNull[i] = inputColVector.isNull[i];
}
outV.isRepeating = false;
} else {
for(int i = 0; i != n; i++) {
if (!inputColVector.isNull[i]) {
outV.setConcat(i, value, 0, value.length, vector[i], start[i], length[i]);
}
outV.isNull[i] = inputColVector.isNull[i];
}
outV.isRepeating = false;
}
}
}
@Override
public int getOutputColumn() {
return outputColumn;
}
@Override
public String getOutputType() {
return "String";
}
public int getColNum() {
return colNum;
}
public void setColNum(int colNum) {
this.colNum = colNum;
}
public byte[] getValue() {
return value;
}
public void setValue(byte[] value) {
this.value = value;
}
public void setOutputColumn(int outputColumn) {
this.outputColumn = outputColumn;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
return (new VectorExpressionDescriptor.Builder())
.setMode(
VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(2)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.STRING,
VectorExpressionDescriptor.ArgumentType.STRING)
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.SCALAR,
VectorExpressionDescriptor.InputExpressionType.COLUMN).build();
}
}