/** * 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.io.orc; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hive.ql.exec.vector.VectorizedBatchUtil; import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatchCtx; import org.apache.hadoop.hive.ql.io.AcidInputFormat; import org.apache.hadoop.hive.ql.io.RecordIdentifier; import org.apache.hadoop.hive.ql.metadata.HiveException; import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector; import org.apache.hadoop.io.DataOutputBuffer; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.mapred.*; import java.io.IOException; /** * Implement a RecordReader that stitches together base and delta files to * support tables and partitions stored in the ACID format. It works by using * the non-vectorized ACID reader and moving the data into a vectorized row * batch. */ class VectorizedOrcAcidRowReader implements org.apache.hadoop.mapred.RecordReader<NullWritable, VectorizedRowBatch> { private final AcidInputFormat.RowReader<OrcStruct> innerReader; private final RecordIdentifier key; private final OrcStruct value; private VectorizedRowBatchCtx rbCtx; private Object[] partitionValues; private final ObjectInspector objectInspector; private final DataOutputBuffer buffer = new DataOutputBuffer(); VectorizedOrcAcidRowReader(AcidInputFormat.RowReader<OrcStruct> inner, Configuration conf, VectorizedRowBatchCtx vectorizedRowBatchCtx, FileSplit split) throws IOException { this.innerReader = inner; this.key = inner.createKey(); rbCtx = vectorizedRowBatchCtx; int partitionColumnCount = rbCtx.getPartitionColumnCount(); if (partitionColumnCount > 0) { partitionValues = new Object[partitionColumnCount]; rbCtx.getPartitionValues(rbCtx, conf, split, partitionValues); } this.value = inner.createValue(); this.objectInspector = inner.getObjectInspector(); } @Override public boolean next(NullWritable nullWritable, VectorizedRowBatch vectorizedRowBatch ) throws IOException { vectorizedRowBatch.reset(); buffer.reset(); if (!innerReader.next(key, value)) { return false; } if (partitionValues != null) { rbCtx.addPartitionColsToBatch(vectorizedRowBatch, partitionValues); } try { VectorizedBatchUtil.acidAddRowToBatch(value, (StructObjectInspector) objectInspector, vectorizedRowBatch.size++, vectorizedRowBatch, rbCtx, buffer); while (vectorizedRowBatch.size < vectorizedRowBatch.selected.length && innerReader.next(key, value)) { VectorizedBatchUtil.acidAddRowToBatch(value, (StructObjectInspector) objectInspector, vectorizedRowBatch.size++, vectorizedRowBatch, rbCtx, buffer); } } catch (Exception e) { throw new IOException("error iterating", e); } return true; } @Override public NullWritable createKey() { return NullWritable.get(); } @Override public VectorizedRowBatch createValue() { return rbCtx.createVectorizedRowBatch(); } @Override public long getPos() throws IOException { return innerReader.getPos(); } @Override public void close() throws IOException { innerReader.close(); } @Override public float getProgress() throws IOException { return innerReader.getProgress(); } }