| /* |
| * 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 org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; |
| import org.apache.hadoop.hive.ql.exec.vector.<ColumnVectorType>; |
| import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; |
| import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor; |
| import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; |
| import <ScalarImport>; |
| import org.apache.hadoop.hive.ql.metadata.HiveException; |
| #IF DECIMAL |
| import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; |
| #ENDIF DECIMAL |
| |
| /** |
| * Compute IF(expr1, expr2, expr3) for 3 input column expressions. |
| * The first is always a boolean (LongColumnVector). |
| * The second is a column or non-constant expression result. |
| * The third is a constant value. |
| */ |
| public class <ClassName> extends VectorExpression { |
| |
| private static final long serialVersionUID = 1L; |
| |
| private <ScalarType> arg2Scalar; |
| |
| public <ClassName>(int arg1Column, <ScalarType> arg2Scalar, int arg3Column, |
| int outputColumnNum) { |
| super(arg1Column, arg3Column, outputColumnNum); |
| this.arg2Scalar = arg2Scalar; |
| } |
| |
| public <ClassName>() { |
| super(); |
| |
| // Dummy final assignments. |
| arg2Scalar = null; |
| } |
| |
| @Override |
| public void evaluate(VectorizedRowBatch batch) throws HiveException { |
| |
| if (childExpressions != null) { |
| super.evaluateChildren(batch); |
| } |
| |
| LongColumnVector arg1ColVector = (LongColumnVector) batch.cols[inputColumnNum[0]]; |
| <ColumnVectorType> arg3ColVector = (<ColumnVectorType>) batch.cols[inputColumnNum[1]]; |
| boolean[] arg3IsNull = arg3ColVector.isNull; |
| #IF DECIMAL |
| HiveDecimalWritable[] vector3 = arg3ColVector.vector; |
| #ENDIF DECIMAL |
| <ColumnVectorType> outputColVector = (<ColumnVectorType>) batch.cols[outputColumnNum]; |
| int[] sel = batch.selected; |
| boolean[] outputIsNull = outputColVector.isNull; |
| |
| // We do not need to do a column reset since we are carefully changing the output. |
| outputColVector.isRepeating = false; |
| |
| int n = batch.size; |
| long[] vector1 = arg1ColVector.vector; |
| |
| // return immediately if batch is empty |
| if (n == 0) { |
| return; |
| } |
| |
| if (arg1ColVector.isRepeating) { |
| if ((arg1ColVector.noNulls || !arg1ColVector.isNull[0]) && vector1[0] == 1) { |
| outputColVector.fill(arg2Scalar); |
| } else { |
| arg3ColVector.copySelected(batch.selectedInUse, sel, n, outputColVector); |
| } |
| return; |
| } |
| |
| // Extend any repeating values and noNulls indicator in the inputs to |
| // reduce the number of code paths needed below. |
| // This could be optimized in the future by having separate paths |
| // for when arg3ColVector is repeating or has no nulls. |
| arg3ColVector.flatten(batch.selectedInUse, sel, n); |
| |
| if (arg1ColVector.noNulls) { |
| |
| // FUTURE: We could check arg3ColVector.noNulls and optimize these loops. |
| if (batch.selectedInUse) { |
| for(int j = 0; j != n; j++) { |
| int i = sel[j]; |
| if (vector1[i] == 1) { |
| outputIsNull[i] = false; |
| outputColVector.set(i, arg2Scalar); |
| } else { |
| if (!arg3IsNull[i]) { |
| outputIsNull[i] = false; |
| #IF DECIMAL |
| outputColVector.set(i, vector3[i]); |
| #ELSE |
| outputColVector.set(i, arg3ColVector.asScratch<ObjectName>(i)); |
| #ENDIF DECIMAL |
| } else { |
| outputIsNull[i] = true; |
| outputColVector.noNulls = false; |
| } |
| } |
| } |
| } else { |
| for(int i = 0; i != n; i++) { |
| if (vector1[i] == 1) { |
| outputIsNull[i] = false; |
| outputColVector.set(i, arg2Scalar); |
| } else { |
| if (!arg3IsNull[i]) { |
| outputIsNull[i] = false; |
| #IF DECIMAL |
| outputColVector.set(i, vector3[i]); |
| #ELSE |
| outputColVector.set(i, arg3ColVector.asScratch<ObjectName>(i)); |
| #ENDIF DECIMAL |
| } else { |
| outputIsNull[i] = true; |
| outputColVector.noNulls = false; |
| } |
| } |
| } |
| } |
| } else /* there are nulls */ { |
| |
| if (batch.selectedInUse) { |
| for(int j = 0; j != n; j++) { |
| int i = sel[j]; |
| if (!arg1ColVector.isNull[i] && vector1[i] == 1) { |
| outputIsNull[i] = false; |
| outputColVector.set(i, arg2Scalar); |
| } else { |
| if (!arg3IsNull[i]) { |
| outputIsNull[i] = false; |
| #IF DECIMAL |
| outputColVector.set(i, vector3[i]); |
| #ELSE |
| outputColVector.set(i, arg3ColVector.asScratch<ObjectName>(i)); |
| #ENDIF DECIMAL |
| } else { |
| outputIsNull[i] = true; |
| outputColVector.noNulls = false; |
| } |
| } |
| } |
| } else { |
| for(int i = 0; i != n; i++) { |
| if (!arg1ColVector.isNull[i] && vector1[i] == 1) { |
| outputIsNull[i] = false; |
| outputColVector.set(i, arg2Scalar); |
| } else { |
| if (!arg3IsNull[i]) { |
| outputIsNull[i] = false; |
| #IF DECIMAL |
| outputColVector.set(i, vector3[i]); |
| #ELSE |
| outputColVector.set(i, arg3ColVector.asScratch<ObjectName>(i)); |
| #ENDIF DECIMAL |
| } else { |
| outputIsNull[i] = true; |
| outputColVector.noNulls = false; |
| } |
| } |
| } |
| } |
| } |
| |
| // restore repeating and no nulls indicators |
| arg3ColVector.unFlatten(); |
| } |
| |
| @Override |
| public String vectorExpressionParameters() { |
| return getColumnParamString(0, inputColumnNum[0]) + ", val "+ arg2Scalar + ", " + |
| getColumnParamString(2, inputColumnNum[1]); |
| } |
| |
| @Override |
| public VectorExpressionDescriptor.Descriptor getDescriptor() { |
| return (new VectorExpressionDescriptor.Builder()) |
| .setMode( |
| VectorExpressionDescriptor.Mode.PROJECTION) |
| .setNumArguments(3) |
| .setArgumentTypes( |
| VectorExpressionDescriptor.ArgumentType.getType("int_family"), |
| VectorExpressionDescriptor.ArgumentType.getType("<TypeName>"), |
| VectorExpressionDescriptor.ArgumentType.getType("<TypeName>")) |
| .setInputExpressionTypes( |
| VectorExpressionDescriptor.InputExpressionType.COLUMN, |
| VectorExpressionDescriptor.InputExpressionType.SCALAR, |
| VectorExpressionDescriptor.InputExpressionType.COLUMN).build(); |
| } |
| } |