mirror of https://github.com/apache/lucene.git
slightly improve the benchmark template: add Lucene version, query speed
git-svn-id: https://svn.apache.org/repos/asf/lucene/java/trunk@150502 13f79535-47bb-0310-9956-ffa450edef68
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@ -179,6 +179,7 @@ limitations under the License.
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</p>
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<p>
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<b>Software environment</b><br />
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<li><i>Lucene Version</i>: Self-explanatory</li>
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<li><i>Java Version</i>: Version of Java SDK/JRE that is run
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</li>
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<li><i>Java VM</i>: Server/client VM, Sun VM/JRockIt</li>
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@ -197,7 +198,7 @@ limitations under the License.
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Self-explanatory</li>
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<li><i>Source documents storage location</i>: Where are the
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documents being indexed located?
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Filesystem, DB, http,etc</li>
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Filesystem, DB, http, etc.</li>
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<li><i>File type of source documents</i>: Types of files being
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indexed, e.g. HTML files, XML files, PDF files, etc.</li>
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<li><i>Parser(s) used, if any</i>: Parsers used for parsing the
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@ -208,7 +209,7 @@ limitations under the License.
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Document contains</li>
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<li><i>Type of fields</i>: Type of each field</li>
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<li><i>Index persistence</i>: Where the index is stored, e.g.
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FSDirectory, SqlDirectory, etc</li>
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FSDirectory, SqlDirectory, etc.</li>
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</p>
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<p>
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<b>Figures</b><br />
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@ -217,11 +218,14 @@ limitations under the License.
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<li><i>Time taken / 1000 docs indexed</i>: Time taken to index
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1000 files</li>
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<li><i>Memory consumption</i>: Self-explanatory</li>
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<li><i>Query speed</i>: average time a query takes, type
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of queries (e.g. simple one-term query, phrase query),
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not measuring any overhead outside Lucene</li>
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</p>
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<p>
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<b>Notes</b><br />
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<li><i>Notes</i>: Any comments which don't belong in the above,
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special tuning/strategies, etc</li>
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special tuning/strategies, etc.</li>
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</p>
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</ul>
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</p>
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@ -503,7 +507,7 @@ limitations under the License.
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XSL transformation on them, and then proceeded to index the stream. The indexer optimized
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the index every 50,000 documents (on this run) though previously, we optimized every
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300,000 documents. The performance didn't change much either way. We did no other
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tuning (RAM Directories, separate process to pretransform the source material, etc)
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tuning (RAM Directories, separate process to pretransform the source material, etc.)
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to make it index faster. When all of these individual indexes were built, they were
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merged together into the main index. That process usually took ~ a day.
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</p>
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@ -11,11 +11,12 @@ RAID-5)</li>
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</p>
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<p>
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<b>Software environment</b><br/>
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<li><i>Lucene Version</i>: Self-explanatory</li>
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<li><i>Java Version</i>: Version of Java SDK/JRE that is run </li>
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<li><i>Java VM</i>: Server/client VM, Sun VM/JRockIt</li>
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<li><i>OS Version</i>: Self-explanatory</li>
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<li><i>Location of index</i>: Is the index stored in filesystem or
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database? Is it on the same server(local) or
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database? Is it on the same server (local) or
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over the network?</li>
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</p>
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<p>
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@ -47,6 +48,9 @@ runs)</i>: Time taken to index to index all files</li>
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<li><i>Time taken / 1000 docs indexed</i>: Time taken to index 1000
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files</li>
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<li><i>Memory consumption</i>: Self-explanatory</li>
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<li><i>Query speed</i>: average time a query takes, type
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of queries (e.g. simple one-term query, phrase query),
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not measuring any overhead outside Lucene</li>
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</p>
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<p>
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<b>Notes</b><br/>
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@ -38,6 +38,7 @@
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</p>
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<p>
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<b>Software environment</b><br/>
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<li><i>Lucene Version</i>: Self-explanatory</li>
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<li><i>Java Version</i>: Version of Java SDK/JRE that is run
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</li>
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<li><i>Java VM</i>: Server/client VM, Sun VM/JRockIt</li>
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@ -56,7 +57,7 @@
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Self-explanatory</li>
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<li><i>Source documents storage location</i>: Where are the
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documents being indexed located?
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Filesystem, DB, http,etc</li>
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Filesystem, DB, http, etc.</li>
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<li><i>File type of source documents</i>: Types of files being
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indexed, e.g. HTML files, XML files, PDF files, etc.</li>
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<li><i>Parser(s) used, if any</i>: Parsers used for parsing the
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@ -67,7 +68,7 @@
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Document contains</li>
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<li><i>Type of fields</i>: Type of each field</li>
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<li><i>Index persistence</i>: Where the index is stored, e.g.
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FSDirectory, SqlDirectory, etc</li>
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FSDirectory, SqlDirectory, etc.</li>
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</p>
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<p>
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<b>Figures</b><br/>
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@ -76,11 +77,14 @@
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<li><i>Time taken / 1000 docs indexed</i>: Time taken to index
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1000 files</li>
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<li><i>Memory consumption</i>: Self-explanatory</li>
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<li><i>Query speed</i>: average time a query takes, type
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of queries (e.g. simple one-term query, phrase query),
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not measuring any overhead outside Lucene</li>
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</p>
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<p>
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<b>Notes</b><br/>
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<li><i>Notes</i>: Any comments which don't belong in the above,
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special tuning/strategies, etc</li>
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special tuning/strategies, etc.</li>
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</p>
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</ul>
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</p>
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@ -329,7 +333,7 @@
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XSL transformation on them, and then proceeded to index the stream. The indexer optimized
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the index every 50,000 documents (on this run) though previously, we optimized every
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300,000 documents. The performance didn't change much either way. We did no other
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tuning (RAM Directories, separate process to pretransform the source material, etc)
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tuning (RAM Directories, separate process to pretransform the source material, etc.)
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to make it index faster. When all of these individual indexes were built, they were
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merged together into the main index. That process usually took ~ a day.
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</p>
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