/* * 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.solr.client.solrj.io.stream.metrics; import java.io.IOException; import java.util.Locale; import org.apache.solr.client.solrj.io.Tuple; import org.apache.solr.client.solrj.io.stream.expr.StreamExpression; import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionParameter; import org.apache.solr.client.solrj.io.stream.expr.StreamFactory; public class MeanMetric extends Metric { // How'd the MeanMetric get to be so mean? // Maybe it was born with it. // Maybe it was mayba-mean. // // I'll see myself out. private String columnName; private double doubleSum; private long longSum; private long count; public MeanMetric(String columnName){ init("avg", columnName, false); } public MeanMetric(String columnName, boolean outputLong){ init("avg", columnName, outputLong); } public MeanMetric(StreamExpression expression, StreamFactory factory) throws IOException{ // grab all parameters out String functionName = expression.getFunctionName(); String columnName = factory.getValueOperand(expression, 0); String outputLong = factory.getValueOperand(expression, 1); // validate expression contains only what we want. if(null == columnName){ throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - expected %s(columnName)", expression, functionName)); } boolean ol = false; if(outputLong != null) { ol = Boolean.parseBoolean(outputLong); } init(functionName, columnName, ol); } private void init(String functionName, String columnName, boolean outputLong){ this.columnName = columnName; this.outputLong = outputLong; setFunctionName(functionName); setIdentifier(functionName, "(", columnName, ")"); } public void update(Tuple tuple) { ++count; Object o = tuple.get(columnName); if(o instanceof Double) { Double d = (Double)tuple.get(columnName); doubleSum += d; } else { Long l = (Long)tuple.get(columnName); longSum += l; } } public Metric newInstance() { return new MeanMetric(columnName, outputLong); } public String[] getColumns() { return new String[]{columnName}; } public Number getValue() { double dcount = (double)count; if(longSum == 0) { return doubleSum/dcount; } else { double mean = longSum/dcount; if(outputLong) { return Math.round(mean); } else { return mean; } } } @Override public StreamExpressionParameter toExpression(StreamFactory factory) throws IOException { return new StreamExpression(getFunctionName()).withParameter(columnName).withParameter(Boolean.toString(outputLong)); } }