| /* |
| * 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.sql.Timestamp; |
| import java.util.Arrays; |
| import java.util.HashSet; |
| |
| import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; |
| import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector; |
| import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor.Descriptor; |
| import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; |
| import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; |
| import org.apache.hadoop.hive.ql.metadata.HiveException; |
| |
| /** |
| * Output a boolean value indicating if a column is BETWEEN two constants. |
| */ |
| public class <ClassName> extends VectorExpression { |
| private static final long serialVersionUID = 1L; |
| |
| private final Timestamp leftValue; |
| private final Timestamp rightValue; |
| |
| public <ClassName>() { |
| super(); |
| |
| // Dummy final assignments. |
| leftValue = null; |
| rightValue = null; |
| } |
| |
| /** |
| * After construction you must call setInListValues() to add the values to the IN set. |
| */ |
| public <ClassName>(int colNum, Timestamp leftValue, Timestamp rightValue, int outputColumnNum) { |
| super(colNum, outputColumnNum); |
| this.leftValue = leftValue; |
| this.rightValue = rightValue; |
| } |
| |
| @Override |
| public void evaluate(VectorizedRowBatch batch) throws HiveException { |
| |
| if (childExpressions != null) { |
| super.evaluateChildren(batch); |
| } |
| |
| TimestampColumnVector inputColVector = (TimestampColumnVector) batch.cols[inputColumnNum[0]]; |
| LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumnNum]; |
| int[] sel = batch.selected; |
| boolean[] inputIsNull = inputColVector.isNull; |
| boolean[] outputIsNull = outputColVector.isNull; |
| int n = batch.size; |
| 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] = |
| <OptionalNot>(inputColVector.compareTo(0, leftValue) < 0 || |
| inputColVector.compareTo(0, rightValue) > 0) ? 0 : 1; |
| } 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] = |
| <OptionalNot>(inputColVector.compareTo(i, leftValue) < 0 || |
| inputColVector.compareTo(i, rightValue) > 0) ? 0 : 1; |
| } |
| } else { |
| for(int j = 0; j != n; j++) { |
| final int i = sel[j]; |
| outputVector[i] = |
| <OptionalNot>(inputColVector.compareTo(i, leftValue) < 0 || |
| inputColVector.compareTo(i, rightValue) > 0) ? 0 : 1; |
| } |
| } |
| } 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] = |
| <OptionalNot>(inputColVector.compareTo(i, leftValue) < 0 || |
| inputColVector.compareTo(i, rightValue) > 0) ? 0 : 1; |
| } |
| } |
| } 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] = |
| <OptionalNot>(inputColVector.compareTo(i, leftValue) < 0 || |
| inputColVector.compareTo(i, rightValue) > 0) ? 0 : 1; |
| } |
| } |
| } else { |
| System.arraycopy(inputIsNull, 0, outputIsNull, 0, n); |
| for(int i = 0; i != n; i++) { |
| if (!inputIsNull[i]) { |
| outputVector[i] = |
| <OptionalNot>(inputColVector.compareTo(i, leftValue) < 0 || |
| inputColVector.compareTo(i, rightValue) > 0) ? 0 : 1; |
| } |
| } |
| } |
| } |
| } |
| |
| @Override |
| public Descriptor getDescriptor() { |
| |
| // This VectorExpression (IN) is a special case, so don't return a descriptor. |
| return null; |
| } |
| |
| @Override |
| public String vectorExpressionParameters() { |
| return |
| getColumnParamString(0, inputColumnNum[0]) + |
| ", left " + leftValue.toString() + ", right " + rightValue.toString(); |
| } |
| } |