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---
uid: Lucene.Net.Benchmarks.Quality
summary: *content
---
This package allows to benchmark search quality of a Lucene application.
In order to use this package you should provide:
For benchmarking TREC collections with TREC QRels, take a look at the trec package.
Here is a sample code used to run the TREC 2006 queries 701-850 on the .Gov2 collection:
File topicsFile = new File("topics-701-850.txt");
File qrelsFile = new File("qrels-701-850.txt");
IndexReader ir = DirectoryReader.open(directory):
IndexSearcher searcher = new IndexSearcher(ir);
int maxResults = 1000;
String docNameField = "docname";
PrintWriter logger = new PrintWriter(System.out,true);
// use trec utilities to read trec topics into quality queries
TrecTopicsReader qReader = new TrecTopicsReader();
QualityQuery qqs[] = qReader.readQueries(new BufferedReader(new FileReader(topicsFile)));
// prepare judge, with trec utilities that read from a QRels file
Judge judge = new TrecJudge(new BufferedReader(new FileReader(qrelsFile)));
// validate topics & judgments match each other
judge.validateData(qqs, logger);
// set the parsing of quality queries into Lucene queries.
QualityQueryParser qqParser = new SimpleQQParser("title", "body");
// run the benchmark
QualityBenchmark qrun = new QualityBenchmark(qqs, qqParser, searcher, docNameField);
SubmissionReport submitLog = null;
QualityStats stats[] = qrun.execute(maxResults, judge, submitLog, logger);
// print an average sum of the results
QualityStats avg = QualityStats.average(stats);
avg.log("SUMMARY",2,logger, " ");
Some immediate ways to modify this program to your needs are:
-
To run on different formats of queries and judgements provide your own Judge and Quality queries.
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Create sophisticated Lucene queries by supplying a different Quality query parser.