/**
* 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.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.serde2.io.DateWritable;
import org.apache.hive.common.util.DateParser;
import java.nio.charset.StandardCharsets;
import java.sql.Date;
import java.sql.Timestamp;
public class VectorUDFDateAddScalarCol extends VectorExpression {
private static final long serialVersionUID = 1L;
private int colNum;
private int outputColumn;
private long longValue = 0;
private Timestamp timestampValue = null;
private byte[] stringValue = null;
protected boolean isPositive = true;
private transient final DateParser dateParser = new DateParser();
private transient final Date baseDate = new Date(0);
public VectorUDFDateAddScalarCol() {
super();
}
public VectorUDFDateAddScalarCol(Object object, int colNum, int outputColumn) {
this();
this.colNum = colNum;
this.outputColumn = outputColumn;
if (object instanceof Long) {
this.longValue = (Long) object;
} else if (object instanceof Timestamp) {
this.timestampValue = (Timestamp) object;
} else if (object instanceof byte []) {
this.stringValue = (byte[]) object;
} else {
throw new RuntimeException("Unexpected scalar object " + object.getClass().getName() + " " + object.toString());
}
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
LongColumnVector inputCol = (LongColumnVector) batch.cols[this.colNum];
/* every line below this is identical for evaluateLong & evaluateString */
final int n = inputCol.isRepeating ? 1 : batch.size;
int[] sel = batch.selected;
final boolean selectedInUse = (inputCol.isRepeating == false) && batch.selectedInUse;
LongColumnVector outV = (LongColumnVector) batch.cols[outputColumn];
switch (inputTypes[0]) {
case DATE:
baseDate.setTime(DateWritable.daysToMillis((int) longValue));
break;
case TIMESTAMP:
baseDate.setTime(timestampValue.getTime());
break;
case STRING:
case CHAR:
case VARCHAR:
boolean parsed = dateParser.parseDate(new String(stringValue, StandardCharsets.UTF_8), baseDate);
if (!parsed) {
outV.noNulls = false;
if (selectedInUse) {
for(int j=0; j < n; j++) {
int i = sel[j];
outV.isNull[i] = true;
}
} else {
for(int i = 0; i < n; i++) {
outV.isNull[i] = true;
}
}
return;
}
break;
default:
throw new Error("Unsupported input type " + inputTypes[0].name());
}
if(batch.size == 0) {
/* n != batch.size when isRepeating */
return;
}
/* true for all algebraic UDFs with no state */
outV.isRepeating = inputCol.isRepeating;
long baseDateDays = DateWritable.millisToDays(baseDate.getTime());
if (inputCol.noNulls) {
outV.noNulls = true;
if (selectedInUse) {
for(int j=0; j < n; j++) {
int i = sel[j];
evaluate(baseDateDays, inputCol.vector[i], outV, i);
}
} else {
for(int i = 0; i < n; i++) {
evaluate(baseDateDays, inputCol.vector[i], outV, i);
}
}
} 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 (selectedInUse) {
for(int j = 0; j < n; j++) {
int i = sel[j];
outV.isNull[i] = inputCol.isNull[i];
if (!inputCol.isNull[i]) {
evaluate(baseDateDays, inputCol.vector[i], outV, i);
}
}
} else {
for(int i = 0; i < n; i++) {
outV.isNull[i] = inputCol.isNull[i];
if (!inputCol.isNull[i]) {
evaluate(baseDateDays, inputCol.vector[i], outV, i);
}
}
}
}
}
private void evaluate(long baseDateDays, long numDays, LongColumnVector output, int i) {
long result = baseDateDays;
if (isPositive) {
result += numDays;
} else {
result -= numDays;
}
output.vector[i] = result;
}
@Override
public int getOutputColumn() {
return this.outputColumn;
}
@Override
public String getOutputType() {
return "date";
}
public int getColNum() {
return colNum;
}
public void setColNum(int colNum) {
this.colNum = colNum;
}
public void setOutputColumn(int outputColumn) {
this.outputColumn = outputColumn;
}
public long getLongValue() {
return longValue;
}
public void setLongValue(long longValue) {
this.longValue = longValue;
}
public byte[] getStringValue() {
return stringValue;
}
public void setStringValue(byte[] stringValue) {
this.stringValue = stringValue;
}
public boolean isPositive() {
return isPositive;
}
public void setPositive(boolean isPositive) {
this.isPositive = isPositive;
}
@Override
public String vectorExpressionParameters() {
return "val " + stringValue + ", col " + colNum;
}
public VectorExpressionDescriptor.Descriptor getDescriptor() {
VectorExpressionDescriptor.Builder b = new VectorExpressionDescriptor.Builder();
b.setMode(VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(2)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.STRING_DATETIME_FAMILY,
VectorExpressionDescriptor.ArgumentType.INT_FAMILY)
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.SCALAR,
VectorExpressionDescriptor.InputExpressionType.COLUMN);
return b.build();
}
}