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Posted to commits@accumulo.apache.org by mw...@apache.org on 2016/12/14 14:56:42 UTC
[6/6] accumulo-website git commit: Jekyll build from master:62b91e0
Jekyll build from master:62b91e0
Website cleanup
* Removed wikisearch.md as content was moved to README.md of wikisearch repo
* Removed glyphicons files as this now being served by CDN
* Updated wikisearch links to point to wikisearch mirror on GitHub
* Moved downloads.md to pages/
* Updated related-projects.md
Project: http://git-wip-us.apache.org/repos/asf/accumulo-website/repo
Commit: http://git-wip-us.apache.org/repos/asf/accumulo-website/commit/b866c154
Tree: http://git-wip-us.apache.org/repos/asf/accumulo-website/tree/b866c154
Diff: http://git-wip-us.apache.org/repos/asf/accumulo-website/diff/b866c154
Branch: refs/heads/asf-site
Commit: b866c1545cc8a3728ec88ce413c63213415b0228
Parents: fd45f7a
Author: Mike Walch <mw...@apache.org>
Authored: Wed Dec 14 09:56:18 2016 -0500
Committer: Mike Walch <mw...@apache.org>
Committed: Wed Dec 14 09:56:18 2016 -0500
----------------------------------------------------------------------
contributor/contrib-projects.html | 4 +-
example/wikisearch.html | 747 --------------------------
feed.xml | 4 +-
fonts/glyphicons-halflings-regular.eot | Bin 20127 -> 0 bytes
fonts/glyphicons-halflings-regular.svg | 288 ----------
fonts/glyphicons-halflings-regular.ttf | Bin 45404 -> 0 bytes
fonts/glyphicons-halflings-regular.woff | Bin 23424 -> 0 bytes
fonts/glyphicons-halflings-regular.woff2 | Bin 18028 -> 0 bytes
related-projects/index.html | 8 +-
9 files changed, 8 insertions(+), 1043 deletions(-)
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http://git-wip-us.apache.org/repos/asf/accumulo-website/blob/b866c154/contributor/contrib-projects.html
----------------------------------------------------------------------
diff --git a/contributor/contrib-projects.html b/contributor/contrib-projects.html
index 8e91c81..a245d1c 100644
--- a/contributor/contrib-projects.html
+++ b/contributor/contrib-projects.html
@@ -172,8 +172,8 @@ stack. The Wikisearch application provides an example of indexing and querying
Wikipedia data within Accumulo. It is a great place to start if you want to get
familiar with good development practices building on Accumulo.</p>
-<p>For details on setting up the application, see the project's README. You can
-also read <a href="example/wikisearch">an overview and some performance numbers</a>.</p>
+<p>For details on setting up the application, see the project's <a href="https://github.com/apache/accumulo-wikisearch/blob/master/README.md">README.md</a>
+where you can also read an overview and some performance numbers.</p>
<p>The Apache Accumulo Wikisearch Example uses <a href="http://git-scm.com">Git</a> version control
(<a href="https://git-wip-us.apache.org/repos/asf?p=accumulo-wikisearch.git;a=summary">browse</a>|<a href="https://git-wip-us.apache.org/repos/asf/accumulo-wikisearch.git">checkout</a>). It builds with
http://git-wip-us.apache.org/repos/asf/accumulo-website/blob/b866c154/example/wikisearch.html
----------------------------------------------------------------------
diff --git a/example/wikisearch.html b/example/wikisearch.html
deleted file mode 100644
index 09aa8e8..0000000
--- a/example/wikisearch.html
+++ /dev/null
@@ -1,747 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-<!--
- 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
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--->
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-<link href="//netdna.bootstrapcdn.com/font-awesome/4.0.3/css/font-awesome.css" rel="stylesheet">
-<link rel="stylesheet" type="text/css" href="https://cdn.datatables.net/v/bs/jq-2.2.3/dt-1.10.12/datatables.min.css">
-<link href="/css/accumulo.css" rel="stylesheet" type="text/css">
-
-<title>The wikipedia search example explained, with performance numbers.</title>
-
-<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js"></script>
-<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
-<script type="text/javascript" src="https://cdn.datatables.net/v/bs/jq-2.2.3/dt-1.10.12/datatables.min.js"></script>
-<script>
- // show location of canonical site if not currently on the canonical site
- $(function() {
- var host = window.location.host;
- if (typeof host !== 'undefined' && host !== 'accumulo.apache.org') {
- $('#non-canonical').show();
- }
- });
-
- $(function() {
- // decorate section headers with anchors
- return $("h2, h3, h4, h5, h6").each(function(i, el) {
- var $el, icon, id;
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- <div id="content">
-
- <h1 class="title">The wikipedia search example explained, with performance numbers.</h1>
-
- <h2 id="apache-accumulo-query-performance">Apache Accumulo Query Performance</h2>
-
-<h2 id="sample-application">Sample Application</h2>
-
-<p>Starting with release 1.4, Accumulo includes an example web application that
-provides a flexible, scalable search over the articles of Wikipedia, a widely
-available medium-sized corpus.</p>
-
-<p>The example uses an indexing technique helpful for doing multiple logical tests
-against content. In this case, we can perform a word search on Wikipedia
-articles. The sample application takes advantage of 3 unique capabilities of
-Accumulo:</p>
-
-<ol>
- <li>Extensible iterators that operate within the distributed tablet servers of
-the key-value store</li>
- <li>Custom aggregators which can efficiently condense information during the
-various life-cycles of the log-structured merge tree</li>
- <li>Custom load balancing, which ensures that a table is evenly distributed on
-all tablet servers</li>
-</ol>
-
-<p>In the example, Accumulo tracks the cardinality of all terms as elements are
-ingested. If the cardinality is small enough, it will track the set of
-documents by term directly. For example:</p>
-
-<style type="text/css">
-table.wiki, table.wiki td, table.wiki th {
- padding-right: 5px;
- padding-left: 5px;
- border: 1px solid black;
- border-collapse: collapse;
-}
-table.wiki td {
- text-align: right;
-}
-</style>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Row (word)</th>
- <th style="text-align: right">Value (count)</th>
- <th style="text-align: left">Value (document list)</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>Octopus</td>
- <td style="text-align: right">2</td>
- <td style="text-align: left">[Document 57, Document 220]</td>
- </tr>
- <tr>
- <td>Other</td>
- <td style="text-align: right">172,849</td>
- <td style="text-align: left">[]</td>
- </tr>
- <tr>
- <td>Ostrich</td>
- <td style="text-align: right">1</td>
- <td style="text-align: left">[Document 901]</td>
- </tr>
- </tbody>
-</table>
-
-<p>Searches can be optimized to focus on low-cardinality terms. To create these
-counts, the example installs \u201caggregators\u201d which are used to combine inserted
-values. The ingester just writes simple \u201c(Octopus, 1, Document 57)\u201d tuples.
-The tablet servers then used the installed aggregators to merge the cells as
-the data is re-written, or queried. This reduces the in-memory locking
-required to update high-cardinality terms, and defers aggregation to a later
-time, where it can be done more efficiently.</p>
-
-<p>The example also creates a reverse word index to map each word to the document
-in which it appears. But it does this by choosing an arbitrary partition for
-the document. The article, and the word index for the article are grouped
-together into the same partition. For example:</p>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Row (partition)</th>
- <th>Column Family</th>
- <th>Column Qualifier</th>
- <th>Value</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>1</td>
- <td>D</td>
- <td>Document 57</td>
- <td>\u201csmart Octopus\u201d</td>
- </tr>
- <tr>
- <td>1</td>
- <td>Word, Octopus</td>
- <td>Document 57</td>
- <td>�</td>
- </tr>
- <tr>
- <td>1</td>
- <td>Word, smart</td>
- <td>Document 57</td>
- <td>�</td>
- </tr>
- <tr>
- <td>\u2026</td>
- <td>�</td>
- <td>�</td>
- <td>�</td>
- </tr>
- <tr>
- <td>2</td>
- <td>D</td>
- <td>Document 220</td>
- <td>\u201cbig Octopus\u201d</td>
- </tr>
- <tr>
- <td>2</td>
- <td>Word, big</td>
- <td>Document 220</td>
- <td>�</td>
- </tr>
- <tr>
- <td>2</td>
- <td>Word, Octopus</td>
- <td>Document 220</td>
- <td>�</td>
- </tr>
- </tbody>
-</table>
-
-<p>Of course, there would be large numbers of documents in each partition, and the
-elements of those documents would be interlaced according to their sort order.</p>
-
-<p>By dividing the index space into partitions, the multi-word searches can be
-performed in parallel across all the nodes. Also, by grouping the document
-together with its index, a document can be retrieved without a second request
-from the client. The query \u201coctopus\u201d and \u201cbig\u201d will be performed on all the
-servers, but only those partitions for which the low-cardinality term \u201coctopus\u201d
-can be found by using the aggregated reverse index information. The query for a
-document is performed by extensions provided in the example. These extensions
-become part of the tablet server\u2019s iterator stack. By cloning the underlying
-iterators, the query extensions can seek to specific words within the index,
-and when it finds a matching document, it can then seek to the document
-location and retrieve the contents.</p>
-
-<p>We loaded the example on a cluster of 10 servers, each with 12 cores, and 32G
-RAM, 6 500G drives. Accumulo tablet servers were allowed a maximum of 3G of
-working memory, of which 2G was dedicated to caching file data.</p>
-
-<p>Following the instructions in the example, the Wikipedia XML data for articles
-was loaded for English, Spanish and German languages into 10 partitions. The
-data is not partitioned by language: multiple languages were used to get a
-larger set of test data. The data load took around 8 hours, and has not been
-optimized for scale. Once the data was loaded, the content was compacted which
-took about 35 minutes.</p>
-
-<p>The example uses the language-specific tokenizers available from the Apache
-Lucene project for Wikipedia data.</p>
-
-<p>Original files:</p>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Articles</th>
- <th>Compressed size</th>
- <th>Filename</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>1.3M</td>
- <td>2.5G</td>
- <td>dewiki-20111120-pages-articles.xml.bz2</td>
- </tr>
- <tr>
- <td>3.8M</td>
- <td>7.9G</td>
- <td>enwiki-20111115-pages-articles.xml.bz2</td>
- </tr>
- <tr>
- <td>0.8M</td>
- <td>1.4G</td>
- <td>eswiki-20111112-pages-articles.xml.bz2</td>
- </tr>
- </tbody>
-</table>
-
-<p>The resulting tables:</p>
-
-<div class="highlighter-rouge"><pre class="highlight"><code>> du -p wiki.*
- 47,325,680,634 [wiki]
- 5,125,169,305 [wikiIndex]
- 413 [wikiMetadata]
- 5,521,690,682 [wikiReverseIndex]
-</code></pre>
-</div>
-
-<p>Roughly a 6:1 increase in size.</p>
-
-<p>We performed the following queries, and repeated the set 5 times. The query
-language is much more expressive than what is shown below. The actual query
-specified that these words were to be found in the body of the article. Regular
-expressions, searches within titles, negative tests, etc are available.</p>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Query</th>
- <th>Sample 1 (seconds)</th>
- <th>Sample 2 (seconds)</th>
- <th>Sample 3 (seconds)</th>
- <th>Sample 4 (seconds)</th>
- <th>Sample 5 (seconds)</th>
- <th>Matches</th>
- <th>Result Size</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>\u201cold\u201d and \u201cman\u201d and \u201csea\u201d</td>
- <td>4.07</td>
- <td>3.79</td>
- <td>3.65</td>
- <td>3.85</td>
- <td>3.67</td>
- <td>22,956</td>
- <td>3,830,102</td>
- </tr>
- <tr>
- <td>\u201cparis\u201d and \u201cin\u201d and \u201cthe\u201d and \u201cspring\u201d</td>
- <td>3.06</td>
- <td>3.06</td>
- <td>2.78</td>
- <td>3.02</td>
- <td>2.92</td>
- <td>10,755</td>
- <td>1,757,293</td>
- </tr>
- <tr>
- <td>\u201crubber\u201d and \u201cducky\u201d and \u201cernie\u201d</td>
- <td>0.08</td>
- <td>0.08</td>
- <td>0.1</td>
- <td>0.11</td>
- <td>0.1</td>
- <td>6</td>
- <td>808</td>
- </tr>
- <tr>
- <td>\u201cfast\u201d and ( \u201cfurious\u201d or \u201cfurriest\u201d)</td>
- <td>1.34</td>
- <td>1.33</td>
- <td>1.3</td>
- <td>1.31</td>
- <td>1.31</td>
- <td>2,973</td>
- <td>493,800</td>
- </tr>
- <tr>
- <td>\u201cslashdot\u201d and \u201cgrok\u201d</td>
- <td>0.06</td>
- <td>0.06</td>
- <td>0.06</td>
- <td>0.06</td>
- <td>0.06</td>
- <td>14</td>
- <td>2,371</td>
- </tr>
- <tr>
- <td>\u201cthree\u201d and \u201clittle\u201d and \u201cpigs\u201d</td>
- <td>0.92</td>
- <td>0.91</td>
- <td>0.9</td>
- <td>1.08</td>
- <td>0.88</td>
- <td>2,742</td>
- <td>481,531</td>
- </tr>
- </tbody>
-</table>
-
-<p>Because the terms are tested together within the tablet server, even fairly
-high-cardinality terms such as \u201cold,\u201d \u201cman,\u201d and \u201csea\u201d can be tested
-efficiently, without needing to return to the client, or make distributed calls
-between servers to perform the intersection between terms.</p>
-
-<p>For reference, here are the cardinalities for all the terms in the query
-(remember, this is across all languages loaded):</p>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Term</th>
- <th>Cardinality</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>ducky</td>
- <td>795</td>
- </tr>
- <tr>
- <td>ernie</td>
- <td>13,433</td>
- </tr>
- <tr>
- <td>fast</td>
- <td>166,813</td>
- </tr>
- <tr>
- <td>furious</td>
- <td>10,535</td>
- </tr>
- <tr>
- <td>furriest</td>
- <td>45</td>
- </tr>
- <tr>
- <td>grok</td>
- <td>1,168</td>
- </tr>
- <tr>
- <td>in</td>
- <td>1,884,638</td>
- </tr>
- <tr>
- <td>little</td>
- <td>320,748</td>
- </tr>
- <tr>
- <td>man</td>
- <td>548,238</td>
- </tr>
- <tr>
- <td>old</td>
- <td>720,795</td>
- </tr>
- <tr>
- <td>paris</td>
- <td>232,464</td>
- </tr>
- <tr>
- <td>pigs</td>
- <td>8,356</td>
- </tr>
- <tr>
- <td>rubber</td>
- <td>17,235</td>
- </tr>
- <tr>
- <td>sea</td>
- <td>247,231</td>
- </tr>
- <tr>
- <td>slashdot</td>
- <td>2,343</td>
- </tr>
- <tr>
- <td>spring</td>
- <td>125,605</td>
- </tr>
- <tr>
- <td>the</td>
- <td>3,509,498</td>
- </tr>
- <tr>
- <td>three</td>
- <td>718,810</td>
- </tr>
- </tbody>
-</table>
-
-<p>Accumulo supports caching index information, which is turned on by default, and
-for the non-index blocks of a file, which is not. After turning on data block
- caching for the wiki table:</p>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Query</th>
- <th>Sample 1 (seconds)</th>
- <th>Sample 2 (seconds)</th>
- <th>Sample 3 (seconds)</th>
- <th>Sample 4 (seconds)</th>
- <th>Sample 5 (seconds)</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>\u201cold\u201d and \u201cman\u201d and \u201csea\u201d</td>
- <td>2.47</td>
- <td>2.48</td>
- <td>2.51</td>
- <td>2.48</td>
- <td>2.49</td>
- </tr>
- <tr>
- <td>\u201cparis\u201d and \u201cin\u201d and \u201cthe\u201d and \u201cspring\u201d</td>
- <td>1.33</td>
- <td>1.42</td>
- <td>1.6</td>
- <td>1.61</td>
- <td>1.47</td>
- </tr>
- <tr>
- <td>\u201crubber\u201d and \u201cducky\u201d and \u201cernie\u201d</td>
- <td>0.07</td>
- <td>0.08</td>
- <td>0.07</td>
- <td>0.07</td>
- <td>0.07</td>
- </tr>
- <tr>
- <td>\u201cfast\u201d and ( \u201cfurious\u201d or \u201cfurriest\u201d)</td>
- <td>1.28</td>
- <td>0.78</td>
- <td>0.77</td>
- <td>0.79</td>
- <td>0.78</td>
- </tr>
- <tr>
- <td>\u201cslashdot\u201d and \u201cgrok\u201d</td>
- <td>0.04</td>
- <td>0.04</td>
- <td>0.04</td>
- <td>0.04</td>
- <td>0.04</td>
- </tr>
- <tr>
- <td>\u201cthree\u201d and \u201clittle\u201d and \u201cpigs\u201d</td>
- <td>0.55</td>
- <td>0.32</td>
- <td>0.32</td>
- <td>0.31</td>
- <td>0.27</td>
- </tr>
- </tbody>
-</table>
-
-<p>For comparison, these are the cold start lookup times (restart Accumulo, and
-drop the operating system disk cache):</p>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Query</th>
- <th>Sample</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>\u201cold\u201d and \u201cman\u201d and \u201csea\u201d</td>
- <td>13.92</td>
- </tr>
- <tr>
- <td>\u201cparis\u201d and \u201cin\u201d and \u201cthe\u201d and \u201cspring\u201d</td>
- <td>8.46</td>
- </tr>
- <tr>
- <td>\u201crubber\u201d and \u201cducky\u201d and \u201cernie\u201d</td>
- <td>2.96</td>
- </tr>
- <tr>
- <td>\u201cfast\u201d and ( \u201cfurious\u201d or \u201cfurriest\u201d)</td>
- <td>6.77</td>
- </tr>
- <tr>
- <td>\u201cslashdot\u201d and \u201cgrok\u201d</td>
- <td>4.06</td>
- </tr>
- <tr>
- <td>\u201cthree\u201d and \u201clittle\u201d and \u201cpigs\u201d</td>
- <td>8.13</td>
- </tr>
- </tbody>
-</table>
-
-<h3 id="random-query-load">Random Query Load</h3>
-
-<p>Random queries were generated using common english words. A uniform random
-sample of 3 to 5 words taken from the 10000 most common words in the Project
-Gutenberg\u2019s online text collection were joined with \u201cand\u201d. Words containing
-anything other than letters (such as contractions) were not used. A client was
-started simultaneously on each of the 10 servers and each ran 100 random
-queries (1000 queries total).</p>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Time</th>
- <th>Count</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>41.97</td>
- <td>440,743</td>
- </tr>
- <tr>
- <td>41.61</td>
- <td>320,522</td>
- </tr>
- <tr>
- <td>42.11</td>
- <td>347,969</td>
- </tr>
- <tr>
- <td>38.32</td>
- <td>275,655</td>
- </tr>
- </tbody>
-</table>
-
-<h3 id="query-load-during-ingest">Query Load During Ingest</h3>
-
-<p>The English wikipedia data was re-ingested on top of the existing, compacted
-data. The following query samples were taken in 5 minute intervals while
-ingesting 132 articles/second:</p>
-
-<table class="wiki">
- <thead>
- <tr>
- <th>Query</th>
- <th>Sample 1 (seconds)</th>
- <th>Sample 2 (seconds)</th>
- <th>Sample 3 (seconds)</th>
- <th>Sample 4 (seconds)</th>
- <th>Sample 5 (seconds)</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>\u201cold\u201d and \u201cman\u201d and \u201csea\u201d</td>
- <td>4.91</td>
- <td>3.92</td>
- <td>11.58</td>
- <td>9.86</td>
- <td>10.21</td>
- </tr>
- <tr>
- <td>\u201cparis\u201d and \u201cin\u201d and \u201cthe\u201d and \u201cspring\u201d</td>
- <td>5.03</td>
- <td>3.37</td>
- <td>12.22</td>
- <td>3.29</td>
- <td>9.46</td>
- </tr>
- <tr>
- <td>\u201crubber\u201d and \u201cducky\u201d and \u201cernie\u201d</td>
- <td>4.21</td>
- <td>2.04</td>
- <td>8.57</td>
- <td>1.54</td>
- <td>1.68</td>
- </tr>
- <tr>
- <td>\u201cfast\u201d and ( \u201cfurious\u201d or \u201cfurriest\u201d)</td>
- <td>5.84</td>
- <td>2.83</td>
- <td>2.56</td>
- <td>3.12</td>
- <td>3.09</td>
- </tr>
- <tr>
- <td>\u201cslashdot\u201d and \u201cgrok\u201d</td>
- <td>5.68</td>
- <td>2.62</td>
- <td>2.2</td>
- <td>2.78</td>
- <td>2.8</td>
- </tr>
- <tr>
- <td>\u201cthree\u201d and \u201clittle\u201d and \u201cpigs\u201d</td>
- <td>7.82</td>
- <td>3.42</td>
- <td>2.79</td>
- <td>3.29</td>
- <td>3.3</td>
- </tr>
- </tbody>
-</table>
-
- </div>
-
-
-<footer>
-
- <p><a href="https://www.apache.org"><img src="/images/feather-small.gif" alt="Apache Software Foundation" id="asf-logo" height="100" /></a></p>
-
- <p>Copyright � 2011-2016 The Apache Software Foundation. Licensed under the <a href="https://www.apache.org/licenses/LICENSE-2.0">Apache�License,�Version�2.0</a>.</p>
-
-</footer>
-
-
- </div>
- </div>
- </div>
-</body>
-</html>
http://git-wip-us.apache.org/repos/asf/accumulo-website/blob/b866c154/feed.xml
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@@ -6,8 +6,8 @@
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+ <lastBuildDate>Wed, 14 Dec 2016 09:56:14 -0500</lastBuildDate>
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