/** * 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.BytesColumnVector; 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; /** * Superclass to support vectorized functions that take a long * and return a string, optionally with additional configuraiton arguments. * Used for bin(long), hex(long) etc. */ public abstract class FuncLongToString extends VectorExpression { private static final long serialVersionUID = 1L; private int inputCol; private int outputCol; protected transient byte[] bytes; FuncLongToString(int inputCol, int outputCol) { this.inputCol = inputCol; this.outputCol = outputCol; bytes = new byte[64]; // staging area for results, to avoid new() calls } FuncLongToString() { bytes = new byte[64]; } @Override public void evaluate(VectorizedRowBatch batch) { if (childExpressions != null) { super.evaluateChildren(batch); } LongColumnVector inputColVector = (LongColumnVector) batch.cols[inputCol]; int[] sel = batch.selected; int n = batch.size; long[] vector = inputColVector.vector; BytesColumnVector outV = (BytesColumnVector) batch.cols[outputCol]; outV.initBuffer(); if (n == 0) { //Nothing to do return; } if (inputColVector.noNulls) { outV.noNulls = true; if (inputColVector.isRepeating) { outV.isRepeating = true; prepareResult(0, vector, outV); } else if (batch.selectedInUse) { for(int j=0; j != n; j++) { int i = sel[j]; prepareResult(i, vector, outV); } outV.isRepeating = false; } else { for(int i = 0; i != n; i++) { prepareResult(i, vector, outV); } outV.isRepeating = false; } } 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 (inputColVector.isRepeating) { outV.isRepeating = true; outV.isNull[0] = inputColVector.isNull[0]; if (!inputColVector.isNull[0]) { prepareResult(0, vector, outV); } } else if (batch.selectedInUse) { for(int j=0; j != n; j++) { int i = sel[j]; if (!inputColVector.isNull[i]) { prepareResult(i, vector, outV); } outV.isNull[i] = inputColVector.isNull[i]; } outV.isRepeating = false; } else { for(int i = 0; i != n; i++) { if (!inputColVector.isNull[i]) { prepareResult(i, vector, outV); } outV.isNull[i] = inputColVector.isNull[i]; } outV.isRepeating = false; } } } /* Evaluate result for position i (using bytes[] to avoid storage allocation costs) * and set position i of the output vector to the result. */ abstract void prepareResult(int i, long[] vector, BytesColumnVector outV); @Override public int getOutputColumn() { return outputCol; } public int getOutputCol() { return outputCol; } public void setOutputCol(int outputCol) { this.outputCol = outputCol; } public int getInputCol() { return inputCol; } public void setInputCol(int inputCol) { this.inputCol = inputCol; } @Override public String getOutputType() { return "String"; } @Override public String vectorExpressionParameters() { return "col " + inputCol; } @Override public VectorExpressionDescriptor.Descriptor getDescriptor() { return (new VectorExpressionDescriptor.Builder()).setMode( VectorExpressionDescriptor.Mode.PROJECTION).setNumArguments(1).setInputExpressionTypes( VectorExpressionDescriptor.InputExpressionType.COLUMN).setArgumentTypes( VectorExpressionDescriptor.ArgumentType.INT_FAMILY).build(); } }