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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.hadoop.hive.ql.exec.vector.expressions.gen;
import java.nio.charset.StandardCharsets;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.expressions.StringExpr;
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;
import org.apache.hadoop.hive.ql.metadata.HiveException;
/**
* This is a generated class to evaluate a >= comparison on a vector of strings.
*/
public abstract class FilterStringGroupColGreaterEqualStringGroupScalarBase extends VectorExpression {
private static final long serialVersionUID = 1L;
protected final int colNum;
protected final byte[] value;
public FilterStringGroupColGreaterEqualStringGroupScalarBase(int colNum, byte[] value) {
super();
this.colNum = colNum;
this.value = value;
}
public FilterStringGroupColGreaterEqualStringGroupScalarBase() {
super();
// Dummy final assignments.
colNum = -1;
value = null;
}
@Override
public void evaluate(VectorizedRowBatch batch) throws HiveException {
// return immediately if batch is empty
final int n = batch.size;
if (n == 0) {
return;
}
if (childExpressions != null) {
super.evaluateChildren(batch);
}
BytesColumnVector inputColVector = (BytesColumnVector) batch.cols[colNum];
int[] sel = batch.selected;
boolean[] inputIsNull = inputColVector.isNull;
byte[][] vector = inputColVector.vector;
int[] length = inputColVector.length;
int[] start = inputColVector.start;
if (inputColVector.noNulls) {
if (inputColVector.isRepeating) {
if (!(StringExpr.compare(vector[0], start[0], length[0], value, 0, value.length)>= 0)) {
//Entire batch is filtered out.
batch.size = 0;
}
} else if (batch.selectedInUse) {
int newSize = 0;
for(int j=0; j != n; j++) {
int i = sel[j];
if (StringExpr.compare(vector[i], start[i], length[i], value, 0, value.length)>= 0) {
sel[newSize++] = i;
}
}
batch.size = newSize;
} else {
int newSize = 0;
for(int i = 0; i != n; i++) {
if (StringExpr.compare(vector[i], start[i], length[i], value, 0, value.length)>= 0) {
sel[newSize++] = i;
}
}
if (newSize < n) {
batch.size = newSize;
batch.selectedInUse = true;
}
}
} else {
if (inputColVector.isRepeating) {
if (!inputIsNull[0]) {
if (!(StringExpr.compare(vector[0], start[0], length[0], value, 0, value.length)>= 0)) {
//Entire batch is filtered out.
batch.size = 0;
}
} else {
batch.size = 0;
}
} else if (batch.selectedInUse) {
int newSize = 0;
for(int j=0; j != n; j++) {
int i = sel[j];
if (!inputIsNull[i]) {
if (StringExpr.compare(vector[i], start[i], length[i], value, 0, value.length)>= 0) {
sel[newSize++] = i;
}
}
}
//Change the selected vector
batch.size = newSize;
} else {
int newSize = 0;
for(int i = 0; i != n; i++) {
if (!inputIsNull[i]) {
if (StringExpr.compare(vector[i], start[i], length[i], value, 0, value.length)>= 0) {
sel[newSize++] = i;
}
}
}
if (newSize < n) {
batch.size = newSize;
batch.selectedInUse = true;
}
}
}
}
@Override
public String vectorExpressionParameters() {
return getColumnParamString(0, colNum) + ", val " + displayUtf8Bytes(value);
}
}