/* * 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.kylin.engine.mr.steps; import java.io.IOException; import java.nio.ByteBuffer; import java.util.List; import org.apache.hadoop.io.Text; import org.apache.kylin.common.KylinConfig; import org.apache.kylin.cube.CubeInstance; import org.apache.kylin.cube.CubeManager; import org.apache.kylin.cube.model.CubeDesc; import org.apache.kylin.engine.mr.ByteArrayWritable; import org.apache.kylin.engine.mr.KylinReducer; import org.apache.kylin.engine.mr.common.AbstractHadoopJob; import org.apache.kylin.engine.mr.common.BatchConstants; import org.apache.kylin.measure.BufferedMeasureCodec; import org.apache.kylin.measure.MeasureAggregators; import org.apache.kylin.metadata.model.MeasureDesc; import org.slf4j.Logger; import org.slf4j.LoggerFactory; /** */ public class InMemCuboidReducer extends KylinReducer<ByteArrayWritable, ByteArrayWritable, Object, Object> { private static final Logger logger = LoggerFactory.getLogger(InMemCuboidReducer.class); private BufferedMeasureCodec codec; private MeasureAggregators aggs; private Object[] input; private Object[] result; private int vcounter; private Text outputKey; private Text outputValue; @Override protected void setup(Context context) throws IOException { super.bindCurrentConfiguration(context.getConfiguration()); KylinConfig config = AbstractHadoopJob.loadKylinPropsAndMetadata(); String cubeName = context.getConfiguration().get(BatchConstants.CFG_CUBE_NAME).toUpperCase(); CubeInstance cube = CubeManager.getInstance(config).getCube(cubeName); CubeDesc cubeDesc = cube.getDescriptor(); List<MeasureDesc> measuresDescs = cubeDesc.getMeasures(); codec = new BufferedMeasureCodec(measuresDescs); aggs = new MeasureAggregators(measuresDescs); input = new Object[measuresDescs.size()]; result = new Object[measuresDescs.size()]; outputKey = new Text(); outputValue = new Text(); } @Override public void doReduce(ByteArrayWritable key, Iterable<ByteArrayWritable> values, Context context) throws IOException, InterruptedException { aggs.reset(); for (ByteArrayWritable value : values) { if (vcounter++ % BatchConstants.NORMAL_RECORD_LOG_THRESHOLD == 0) { logger.info("Handling value with ordinal (This is not KV number!): " + vcounter); } codec.decode(value.asBuffer(), input); aggs.aggregate(input); } aggs.collectStates(result); // output key outputKey.set(key.array(), key.offset(), key.length()); // output value ByteBuffer valueBuf = codec.encode(result); outputValue.set(valueBuf.array(), 0, valueBuf.position()); context.write(outputKey, outputValue); } }