package org.apache.lucene.benchmark.byTask.tasks; /** * 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. */ import java.io.Reader; import java.util.List; import org.apache.lucene.analysis.Analyzer; import org.apache.lucene.analysis.TokenStream; import org.apache.lucene.benchmark.byTask.PerfRunData; import org.apache.lucene.benchmark.byTask.feeds.DocMaker; import org.apache.lucene.document.Document; import org.apache.lucene.document.Fieldable; /** * Simple task to test performance of tokenizers. It just * creates a token stream for each field of the document and * read all tokens out of that stream. */ public class ReadTokensTask extends PerfTask { public ReadTokensTask(PerfRunData runData) { super(runData); } private int totalTokenCount = 0; // volatile data passed between setup(), doLogic(), tearDown(). private Document doc = null; @Override public void setup() throws Exception { super.setup(); DocMaker docMaker = getRunData().getDocMaker(); doc = docMaker.makeDocument(); } @Override protected String getLogMessage(int recsCount) { return "read " + recsCount + " docs; " + totalTokenCount + " tokens"; } @Override public void tearDown() throws Exception { doc = null; super.tearDown(); } @Override public int doLogic() throws Exception { List<Fieldable> fields = doc.getFields(); Analyzer analyzer = getRunData().getAnalyzer(); int tokenCount = 0; for(final Fieldable field : fields) { if (!field.isTokenized()) continue; final TokenStream stream; final TokenStream streamValue = field.tokenStreamValue(); if (streamValue != null) stream = streamValue; else { // the field does not have a TokenStream, // so we have to obtain one from the analyzer final Reader reader; // find or make Reader final Reader readerValue = field.readerValue(); if (readerValue != null) reader = readerValue; else { String stringValue = field.stringValue(); if (stringValue == null) throw new IllegalArgumentException("field must have either TokenStream, String or Reader value"); stringReader.init(stringValue); reader = stringReader; } // Tokenize field stream = analyzer.reusableTokenStream(field.name(), reader); } // reset the TokenStream to the first token stream.reset(); while(stream.incrementToken()) tokenCount++; } totalTokenCount += tokenCount; return tokenCount; } /* Simple StringReader that can be reset to a new string; * we use this when tokenizing the string value from a * Field. */ ReusableStringReader stringReader = new ReusableStringReader(); private final static class ReusableStringReader extends Reader { int upto; int left; String s; void init(String s) { this.s = s; left = s.length(); this.upto = 0; } @Override public int read(char[] c) { return read(c, 0, c.length); } @Override public int read(char[] c, int off, int len) { if (left > len) { s.getChars(upto, upto+len, c, off); upto += len; left -= len; return len; } else if (0 == left) { return -1; } else { s.getChars(upto, upto+left, c, off); int r = left; left = 0; upto = s.length(); return r; } } @Override public void close() {} } }