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@@ -110,6 +110,9 @@ alink="#0000FF">
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<dt><span class="sect2">2.2.2. <a href=
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"#RCL.INDEXING.STORAGE.SECURITY">Security
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aspects</a></span></dt>
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<dt><span class="sect2">2.2.3. <a href=
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"#RCL.INDEXING.STORAGE.BIG">Special considerations
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for big indexes</a></span></dt>
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</dl>
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</dd>
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<dt><span class="sect1">2.3. <a href=
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@@ -1098,8 +1101,22 @@ alink="#0000FF">
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"filename">$HOME/.recoll/xapiandb/</code>. This can be
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changed via two different methods (with different
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purposes):</p>
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<div class="itemizedlist">
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<ul class="itemizedlist" style="list-style-type: disc;">
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<div class="orderedlist">
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<ol class="orderedlist" type="1">
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<li class="listitem">
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<p>For a given configuration directory, you can
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specify a non-default storage location for the index
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by setting the <code class="varname">dbdir</code>
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parameter in the configuration file (see the
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<a class="link" href="#RCL.INSTALL.CONFIG.RECOLLCONF"
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title=
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"6.4.2. Recoll main configuration file, recoll.conf">
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configuration section</a>). This method would mainly
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be of use if you wanted to keep the configuration
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directory in its default location, but desired
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another location for the index, typically out of disk
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occupation or performance concerns.</p>
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</li>
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<li class="listitem">
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<p>You can specify a different configuration
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directory by setting the <code class=
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@@ -1128,21 +1145,7 @@ alink="#0000FF">
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whatever subset of the available data you wish to
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make searchable.</p>
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</li>
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<li class="listitem">
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<p>For a given configuration directory, you can
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specify a non-default storage location for the index
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by setting the <code class="varname">dbdir</code>
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parameter in the configuration file (see the
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<a class="link" href="#RCL.INSTALL.CONFIG.RECOLLCONF"
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title=
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"6.4.2. Recoll main configuration file, recoll.conf">
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configuration section</a>). This method would mainly
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be of use if you wanted to keep the configuration
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directory in its default location, but desired
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another location for the index, typically out of disk
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occupation concerns.</p>
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</li>
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</ul>
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</ol>
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</div>
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<p>The size of the index is determined by the size of the
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set of documents, but the ratio can vary a lot. For a
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@@ -1154,9 +1157,9 @@ alink="#0000FF">
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non-indexed data (an extreme example being a set of mp3
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files where only the tags would be indexed).</p>
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<p>Of course, images, sound and video do not increase the
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index size, which means that typically, even a big index
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will be negligible against the total amount of data on the
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computer.</p>
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index size, which means that in most cases, the space used
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by the index will be negligible against the total amount of
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data on the computer.</p>
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<p>The index data directory (<code class=
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"filename">xapiandb</code>) only contains data that can be
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completely rebuilt by an index run (as long as the original
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@@ -1186,8 +1189,10 @@ alink="#0000FF">
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because its format is not supported any more, you will
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have to explicitly delete the old index (typically
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<code class="filename">~/.recoll/xapiandb</code>), then
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run a normal indexing command. Using option <code class=
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"option">-z</code> would not work in this situation.</p>
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run a normal indexing command. Using <span class=
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"command"><strong>recollindex</strong></span> option
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<code class="option">-z</code> would not work in this
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situation.</p>
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</div>
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<div class="sect2">
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<div class="titlepage">
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@@ -1217,6 +1222,59 @@ alink="#0000FF">
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adjust the <code class="literal">umask</code> used during
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index updates.</p>
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</div>
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<div class="sect2">
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<div class="titlepage">
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<div>
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<div>
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<h3 class="title"><a name=
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"RCL.INDEXING.STORAGE.BIG" id=
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"RCL.INDEXING.STORAGE.BIG"></a>2.2.3. Special
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considerations for big indexes</h3>
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</div>
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</div>
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</div>
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<p>This only needs concern you if your index is going to
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be bigger than around 5 GBytes. Beyond 10 GBytes, it
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becomes a serious issue. Most people have much smaller
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indexes. For reference, 5 GBytes would be around 2000
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bibles, a lot of text. If you have a huge text dataset
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(remember: images don't count, the text content of PDFs
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is typically less than 5% of the file size), read on.</p>
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<p>The amount of writing performed by Xapian during index
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creation is not linear with the index size (it is
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somewhere between linear and quadratic). For big indexes
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this becomes a performance issue, and may even be an SSD
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disk wear issue.</p>
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<p>The problem can be mitigated by observing the
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following rules:</p>
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<div class="itemizedlist">
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<ul class="itemizedlist" style=
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"list-style-type: disc;">
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<li class="listitem">
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<p>Partition the data set and create several
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indexes of reasonable size rather than a huge one.
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These indexes can then be queried in parallel
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(using the <span class="application">Recoll</span>
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external indexes facility), or merged using
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<span class=
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"command"><strong>xapian-compact</strong></span>.</p>
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</li>
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<li class="listitem">
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<p>Have a lot of RAM available and set the
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<code class="literal">idxflushmb</code>
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<span class="application">Recoll</span>
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configuration parameter as high as you can without
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swapping (experimentation will be needed). 200
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would be a minimum in this context.</p>
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</li>
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<li class="listitem">
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<p>Use Xapian 1.4.10 or newer, as this version
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brought a significant improvement in the amount of
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writes.</p>
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</li>
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</ul>
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</div>
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</div>
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</div>
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<div class="sect1">
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<div class="titlepage">
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