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Minor edit in benchmark page.

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(Baseline comparison does not make sense for large values.)


git-svn-id: https://leveldb.googlecode.com/svn/trunk@43 62dab493-f737-651d-591e-8d6aee1b9529
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gabor@google.com 2011-07-27 04:39:46 +00:00
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@ -176,34 +176,28 @@ parameters are varied. For the baseline:</p>
<h3>A. Large Values </h3> <h3>A. Large Values </h3>
<p>For this benchmark, we start with an empty database, and write 100,000 byte values (~50% compressible). To keep the benchmark running time reasonable, we stop after writing 1000 values.</p> <p>For this benchmark, we start with an empty database, and write 100,000 byte values (~50% compressible). To keep the benchmark running time reasonable, we stop after writing 1000 values.</p>
<h4>Sequential Writes</h4> <h4>Sequential Writes</h4>
<table class="bn"> <table class="bn bnbase">
<tr><td class="c1">LevelDB</td> <tr><td class="c1">LevelDB</td>
<td class="c2">1,060 ops/sec</td> <td class="c2">1,060 ops/sec</td>
<td class="c3"><div class="bldb" style="width:127px">&nbsp;</div> <td class="c3"><div class="bldb" style="width:127px">&nbsp;</div></td></tr>
<td class="c4">(1.17x baseline)</td></tr>
<tr><td class="c1">Kyoto TreeDB</td> <tr><td class="c1">Kyoto TreeDB</td>
<td class="c2">1,020 ops/sec</td> <td class="c2">1,020 ops/sec</td>
<td class="c3"><div class="bkct" style="width:122px">&nbsp;</div></td> <td class="c3"><div class="bkct" style="width:122px">&nbsp;</div></td></tr>
<td class="c4">(2.57x baseline)</td></tr>
<tr><td class="c1">SQLite3</td> <tr><td class="c1">SQLite3</td>
<td class="c2">2,910 ops/sec</td> <td class="c2">2,910 ops/sec</td>
<td class="c3"><div class="bsql" style="width:350px">&nbsp;</div></td> <td class="c3"><div class="bsql" style="width:350px">&nbsp;</div></td></tr>
<td class="c4">(93.3x baseline)</td></tr>
</table> </table>
<h4>Random Writes</h4> <h4>Random Writes</h4>
<table class="bn"> <table class="bn bnbase">
<tr><td class="c1">LevelDB</td> <tr><td class="c1">LevelDB</td>
<td class="c2">480 ops/sec</td> <td class="c2">480 ops/sec</td>
<td class="c3"><div class="bldb" style="width:77px">&nbsp;</div></td> <td class="c3"><div class="bldb" style="width:77px">&nbsp;</div></td></tr>
<td class="c4">(2.52x baseline)</td></tr>
<tr><td class="c1">Kyoto TreeDB</td> <tr><td class="c1">Kyoto TreeDB</td>
<td class="c2">1,100 ops/sec</td> <td class="c2">1,100 ops/sec</td>
<td class="c3"><div class="bkct" style="width:350px">&nbsp;</div></td> <td class="c3"><div class="bkct" style="width:350px">&nbsp;</div></td></tr>
<td class="c4">(10.72x baseline)</td></tr>
<tr><td class="c1">SQLite3</td> <tr><td class="c1">SQLite3</td>
<td class="c2">2,200 ops/sec</td> <td class="c2">2,200 ops/sec</td>
<td class="c3"><div class="bsql" style="width:175px">&nbsp;</div></td> <td class="c3"><div class="bsql" style="width:175px">&nbsp;</div></td></tr>
<td class="c4">(4,516x baseline)</td></tr>
</table> </table>
<p>LevelDB doesn't perform as well with large values of 100,000 bytes each. This is because LevelDB writes keys and values at least twice: first time to the transaction log, and second time (during a compaction) to a sorted file. <p>LevelDB doesn't perform as well with large values of 100,000 bytes each. This is because LevelDB writes keys and values at least twice: first time to the transaction log, and second time (during a compaction) to a sorted file.
With larger values, LevelDB's per-operation efficiency is swamped by the With larger values, LevelDB's per-operation efficiency is swamped by the