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Posted to dev@lucene.apache.org by "Grant Ingersoll (JIRA)" <ji...@apache.org> on 2007/01/04 03:40:27 UTC
[jira] Commented: (LUCENE-675) Lucene benchmark: objective
performance test for Lucene
[ https://issues.apache.org/jira/browse/LUCENE-675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12462117 ]
Grant Ingersoll commented on LUCENE-675:
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Doron,
When I apply your patch, I am getting strange errors. It seems to go through cleanly, but then the new files (for instance, byTask.stats.Report.java) has the whole file occurring twice in each file, thus causing duplicate class exceptions. This happens for all the files in the byTask package. The changes in the other files apply cleanly.
I applied the patch as: patch -p0 -i <patch file> as I always do on a clean version.
I suspect that your last comment may be at the root of the issue. Can you try applying this again to a clean version and see if you still have issues or whether it is something I am missing? Can you regenerate this patch, perhaps using a command line tool? Looking at the patch file, I am not sure what the issue is.
Otherwise, based on the documentation, this sounds really interesting and useful. Based on some of your other patches, I assume you are using this to do benchmarking, no?
Thanks,
Grant
> Lucene benchmark: objective performance test for Lucene
> -------------------------------------------------------
>
> Key: LUCENE-675
> URL: https://issues.apache.org/jira/browse/LUCENE-675
> Project: Lucene - Java
> Issue Type: Improvement
> Reporter: Andrzej Bialecki
> Assigned To: Grant Ingersoll
> Priority: Minor
> Attachments: benchmark.byTask.patch, benchmark.patch, BenchmarkingIndexer.pm, extract_reuters.plx, LuceneBenchmark.java, LuceneIndexer.java, taskBenchmark.zip, timedata.zip, tiny.alg, tiny.properties
>
>
> We need an objective way to measure the performance of Lucene, both indexing and querying, on a known corpus. This issue is intended to collect comments and patches implementing a suite of such benchmarking tests.
> Regarding the corpus: one of the widely used and freely available corpora is the original Reuters collection, available from http://www-2.cs.cmu.edu/afs/cs.cmu.edu/project/theo-20/www/data/news20.tar.gz or http://people.csail.mit.edu/u/j/jrennie/public_html/20Newsgroups/20news-18828.tar.gz. I propose to use this corpus as a base for benchmarks. The benchmarking suite could automatically retrieve it from known locations, and cache it locally.
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