org.apache.hadoop.hive.ql.exec.vector.expressions.gen.IntervalYearMonthColAddDateScalar Maven / Gradle / Ivy
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package org.apache.hadoop.hive.ql.exec.vector.expressions.gen;
import java.util.Arrays;
import java.sql.Date;
import org.apache.hadoop.hive.common.type.HiveIntervalYearMonth;
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.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.expressions.NullUtil;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.exec.vector.*;
import org.apache.hadoop.hive.ql.util.DateTimeMath;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.serde2.io.DateWritableV2;
/**
* Generated from template DateColumnArithmeticIntervalYearMonthScalar.txt, which covers binary arithmetic
* expressions between a column and a scalar.
*/
public class IntervalYearMonthColAddDateScalar extends VectorExpression {
private static final long serialVersionUID = 1L;
private final int colNum;
private final Date value;
private transient final HiveIntervalYearMonth scratchIntervalYearMonth1 = new HiveIntervalYearMonth();
private transient final Date outputDate = new Date(0);
private transient final DateTimeMath dtm = new DateTimeMath();
public IntervalYearMonthColAddDateScalar(int colNum, long value, int outputColumnNum) {
super(outputColumnNum);
this.colNum = colNum;
this.value = new Date(DateWritableV2.daysToMillis((int) value));
}
public IntervalYearMonthColAddDateScalar() {
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);
}
// Input #1 is type interval_year_mont (epochMonths).
LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum];
// Output is type date.
LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumnNum];
int[] sel = batch.selected;
boolean[] inputIsNull = inputColVector1.isNull;
boolean[] outputIsNull = outputColVector.isNull;
// We do not need to do a column reset since we are carefully changing the output.
outputColVector.isRepeating = false;
long[] vector1 = inputColVector1.vector;
long[] outputVector = outputColVector.vector;
if (inputColVector1.isRepeating) {
if (inputColVector1.noNulls || !inputIsNull[0]) {
outputIsNull[0] = false;
scratchIntervalYearMonth1.set((int) vector1[0]);
dtm.add(
scratchIntervalYearMonth1, value, outputDate);
outputVector[0] = DateWritableV2.dateToDays(outputDate);
} else {
outputIsNull[0] = true;
outputColVector.noNulls = false;
}
outputColVector.isRepeating = true;
NullUtil.setNullOutputEntriesColScalar(outputColVector, batch.selectedInUse, sel, n);
return;
}
if (inputColVector1.noNulls) {
if (batch.selectedInUse) {
// CONSIDER: For large n, fill n or all of isNull array and use the tighter ELSE loop.
if (!outputColVector.noNulls) {
for(int j = 0; j != n; j++) {
final int i = sel[j];
outputIsNull[i] = false;
scratchIntervalYearMonth1.set((int) vector1[i]);
dtm.add(
scratchIntervalYearMonth1, value, outputDate);
outputVector[i] = DateWritableV2.dateToDays(outputDate);
}
} else {
for(int j = 0; j != n; j++) {
final int i = sel[j];
scratchIntervalYearMonth1.set((int) vector1[i]);
dtm.add(
scratchIntervalYearMonth1, value, outputDate);
outputVector[i] = DateWritableV2.dateToDays(outputDate);
}
}
} else {
if (!outputColVector.noNulls) {
// Assume it is almost always a performance win to fill all of isNull so we can
// safely reset noNulls.
Arrays.fill(outputIsNull, false);
outputColVector.noNulls = true;
}
for(int i = 0; i != n; i++) {
scratchIntervalYearMonth1.set((int) vector1[i]);
dtm.add(
scratchIntervalYearMonth1, value, outputDate);
outputVector[i] = DateWritableV2.dateToDays(outputDate);
}
}
} else /* there are NULLs in the inputColVector */ {
/*
* Do careful maintenance of the outputColVector.noNulls flag.
*/
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
if (!inputIsNull[i]) {
outputIsNull[i] = false;
scratchIntervalYearMonth1.set((int) vector1[i]);
dtm.add(
scratchIntervalYearMonth1, value, outputDate);
outputVector[i] = DateWritableV2.dateToDays(outputDate);
} else {
outputIsNull[i] = true;
outputColVector.noNulls = false;
}
}
} else {
for(int i = 0; i != n; i++) {
if (!inputIsNull[i]) {
scratchIntervalYearMonth1.set((int) vector1[i]);
dtm.add(
scratchIntervalYearMonth1, value, outputDate);
outputVector[i] = DateWritableV2.dateToDays(outputDate);
outputIsNull[i] = false;
} else {
outputIsNull[i] = true;
outputColVector.noNulls = false;
}
}
}
}
NullUtil.setNullOutputEntriesColScalar(outputColVector, batch.selectedInUse, sel, n);
}
@Override
public String vectorExpressionParameters() {
return getColumnParamString(0, colNum) + ", val " + value.toString();
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
return (new VectorExpressionDescriptor.Builder())
.setMode(
VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(2)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.getType("interval_year_month"),
VectorExpressionDescriptor.ArgumentType.getType("date"))
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN,
VectorExpressionDescriptor.InputExpressionType.SCALAR).build();
}
}