org.apache.hadoop.hive.ql.exec.vector.expressions.DoubleColumnInList Maven / Gradle / Ivy
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package org.apache.hadoop.hive.ql.exec.vector.expressions;
import java.util.Arrays;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector;
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.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.metadata.HiveException;
/**
* Output a boolean value indicating if a column is IN a list of constants.
*/
public class DoubleColumnInList extends VectorExpression implements IDoubleInExpr {
private static final long serialVersionUID = 1L;
private int colNum;
private double[] inListValues;
// The set object containing the IN list. This is optimized for lookup
// of the data type of the column.
private transient CuckooSetDouble inSet;
public DoubleColumnInList(int colNum, int outputColumnNum) {
super(outputColumnNum);
this.colNum = colNum;
}
public DoubleColumnInList() {
super();
inSet = null;
}
@Override
public void evaluate(VectorizedRowBatch batch) throws HiveException {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
if (inSet == null) {
inSet = new CuckooSetDouble(inListValues.length);
inSet.load(inListValues);
}
DoubleColumnVector inputColVector = (DoubleColumnVector) batch.cols[colNum];
LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumnNum];
int[] sel = batch.selected;
boolean[] inputIsNull = inputColVector.isNull;
boolean[] outputIsNull = outputColVector.isNull;
int n = batch.size;
double[] vector = inputColVector.vector;
long[] outputVector = outputColVector.vector;
// return immediately if batch is empty
if (n == 0) {
return;
}
// We do not need to do a column reset since we are carefully changing the output.
outputColVector.isRepeating = false;
if (inputColVector.isRepeating) {
if (inputColVector.noNulls || !inputIsNull[0]) {
// Set isNull before call in case it changes it mind.
outputIsNull[0] = false;
outputVector[0] = inSet.lookup(vector[0]) ? 1 : 0;
} else {
outputIsNull[0] = true;
outputColVector.noNulls = false;
}
outputColVector.isRepeating = true;
return;
}
if (inputColVector.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];
// Set isNull before call in case it changes it mind.
outputIsNull[i] = false;
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
} else {
for(int j = 0; j != n; j++) {
final int i = sel[j];
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
}
} 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++) {
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
}
} else /* there are NULLs in the inputColVector */ {
// Carefully handle NULLs...
outputColVector.noNulls = false;
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
outputIsNull[i] = inputIsNull[i];
if (!inputIsNull[i]) {
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
}
} else {
System.arraycopy(inputIsNull, 0, outputIsNull, 0, n);
for(int i = 0; i != n; i++) {
if (!inputIsNull[i]) {
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
}
}
}
}
public void setInListValues(double[] a) {
this.inListValues = a;
}
@Override
public String vectorExpressionParameters() {
return getColumnParamString(0, colNum) + ", values " + Arrays.toString(inListValues);
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
// return null since this will be handled as a special case in VectorizationContext
return null;
}
}