/* * 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.flink.orc.vector; import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector; /** * This column vector is used to adapt hive's BytesColumnVector to Flink's BytesColumnVector. */ public class OrcBytesColumnVector extends AbstractOrcColumnVector implements org.apache.flink.table.data.vector.BytesColumnVector { private BytesColumnVector vector; public OrcBytesColumnVector(BytesColumnVector vector) { super(vector); this.vector = vector; } @Override public Bytes getBytes(int i) { int rowId = vector.isRepeating ? 0 : i; byte[][] data = vector.vector; int[] start = vector.start; int[] length = vector.length; return new Bytes(data[rowId], start[rowId], length[rowId]); } }