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509 lines
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<div class="document" id="libtorrent-manual">
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<ul>
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<li class="first"><a href="/">Home</a></li>
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<li><a href="../../products.html">Products</a></li>
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<li><a href="../../contact.html">Contact</a></li>
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</div>
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<div id="header">
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<h1><span>Rasterbar Software</span></h1>
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<h2><span>Software developement and consulting</span></h2>
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</div>
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<div id="main">
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<h1 class="title">libtorrent manual</h1>
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<table class="docinfo" frame="void" rules="none">
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<col class="docinfo-name" />
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<col class="docinfo-content" />
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<tbody valign="top">
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<tr><th class="docinfo-name">Author:</th>
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<td>Arvid Norberg, <a class="last reference external" href="mailto:arvid@rasterbar.com">arvid@rasterbar.com</a></td></tr>
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<tr><th class="docinfo-name">Version:</th>
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<td>0.15.0</td></tr>
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</tbody>
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</table>
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<div class="contents topic" id="table-of-contents">
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<p class="topic-title first">Table of contents</p>
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<ul class="simple">
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<li><a class="reference internal" href="#tuning-libtorrent" id="id1">tuning libtorrent</a></li>
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<li><a class="reference internal" href="#reducing-memory-footprint" id="id2">reducing memory footprint</a><ul>
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<li><a class="reference internal" href="#disable-disk-cache" id="id3">disable disk cache</a></li>
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<li><a class="reference internal" href="#remove-torrents" id="id4">remove torrents</a></li>
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<li><a class="reference internal" href="#socket-buffer-sizes" id="id5">socket buffer sizes</a></li>
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<li><a class="reference internal" href="#peer-list-size" id="id6">peer list size</a></li>
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<li><a class="reference internal" href="#send-buffer-watermark" id="id7">send buffer watermark</a></li>
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<li><a class="reference internal" href="#optimize-hashing-for-memory-usage" id="id8">optimize hashing for memory usage</a></li>
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<li><a class="reference internal" href="#reduce-executable-size" id="id9">reduce executable size</a></li>
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</ul>
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</li>
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<li><a class="reference internal" href="#play-nice-with-the-disk" id="id10">play nice with the disk</a></li>
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<li><a class="reference internal" href="#high-performance-seeding" id="id11">high performance seeding</a><ul>
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<li><a class="reference internal" href="#file-pool" id="id12">file pool</a></li>
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<li><a class="reference internal" href="#disk-cache" id="id13">disk cache</a></li>
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<li><a class="reference internal" href="#send-buffer-low-watermark" id="id14">send buffer low watermark</a></li>
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<li><a class="reference internal" href="#peers" id="id15">peers</a></li>
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<li><a class="reference internal" href="#torrent-limits" id="id16">torrent limits</a></li>
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</ul>
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</li>
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<li><a class="reference internal" href="#benchmarking" id="id17">benchmarking</a><ul>
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<li><a class="reference internal" href="#disk-metrics" id="id18">disk metrics</a></li>
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<li><a class="reference internal" href="#session-stats" id="id19">session stats</a></li>
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</ul>
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</li>
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<li><a class="reference internal" href="#contributions" id="id20">contributions</a></li>
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</ul>
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</div>
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<div class="section" id="tuning-libtorrent">
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<h1>tuning libtorrent</h1>
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<p>libtorrent expose most constants used in the bittorrent engine for
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customization through the <tt class="docutils literal"><span class="pre">session_settings</span></tt>. This makes it possible to
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test and tweak the parameters for certain algorithms to make a client
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that fits a wide range of needs. From low memory embedded devices to
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servers seeding thousands of torrents. The default settings in libtorrent
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are tuned for an end-user bittorrent client running on a normal desktop
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computer.</p>
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<p>This document describes techniques to benchmark libtorrent performance
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and how parameters are likely to affect it.</p>
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</div>
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<div class="section" id="reducing-memory-footprint">
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<h1>reducing memory footprint</h1>
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<p>These are things you can do to reduce the memory footprint of libtorrent. You get
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some of this by basing your default <tt class="docutils literal"><span class="pre">session_settings</span></tt> on the <tt class="docutils literal"><span class="pre">min_memory_usage()</span></tt>
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setting preset function.</p>
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<p>Keep in mind that lowering memory usage will affect performance, always profile
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and benchmark your settings to determine if it's worth the trade-off.</p>
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<p>The typical buffer usage of libtorrent, for a single download, with the cache
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size set to 256 blocks (256 * 16 kiB = 4 MiB) is:</p>
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<pre class="literal-block">
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read cache: 128.6 (2058 kiB)
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write cache: 103.5 (1656 kiB)
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receive buffers: 7.3 (117 kiB)
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send buffers: 4.8 (77 kiB)
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hash temp: 0.001 (19 Bytes)
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</pre>
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<p>The receive buffers is proportional to the number of connections we make, and is
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limited by the total number of connections in the session (default is 200).</p>
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<p>The send buffers is proportional to the number of upload slots that are allowed
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in the session. The default is auto configured based on the observed upload rate.</p>
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<p>The read and write cache can be controlled (see section below).</p>
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<p>The "hash temp" entry size depends on whether or not hashing is optimized for
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speed or memory usage. In this test run it was optimized for memory usage.</p>
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<div class="section" id="disable-disk-cache">
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<h2>disable disk cache</h2>
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<p>The bulk of the memory libtorrent will use is used for the disk cache. To save
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the absolute most amount of memory, you can disable the cache by setting
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<tt class="docutils literal"><span class="pre">session_settings::cache_size</span></tt> to 0. You might want to consider using the cache
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but just disable caching read operations. You do this by settings
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<tt class="docutils literal"><span class="pre">session_settings::use_read_cache</span></tt> to false. This is the main factor in how much
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memory will be used by the client. Keep in mind that you will degrade performance
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by disabling the cache. You should benchmark the disk access in order to make an
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informed trade-off.</p>
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</div>
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<div class="section" id="remove-torrents">
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<h2>remove torrents</h2>
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<p>Torrents that have been added to libtorrent will inevitably use up memory, even
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when it's paused. A paused torrent will not use any peer connection objects or
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any send or receive buffers though. Any added torrent holds the entire .torrent
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file in memory, it also remembers the entire list of peers that it's heard about
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(which can be fairly long unless it's capped). It also retains information about
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which blocks and pieces we have on disk, which can be significant for torrents
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with many pieces.</p>
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<p>If you need to minimize the memory footprint, consider removing torrents from
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the session rather than pausing them. This will likely only make a difference
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when you have a very large number of torrents in a session.</p>
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<p>The downside of removing them is that they will no longer be auto-managed. Paused
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auto managed torrents are scraped periodically, to determine which torrents are
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in the greatest need of seeding, and libtorrent will prioritize to seed those.</p>
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</div>
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<div class="section" id="socket-buffer-sizes">
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<h2>socket buffer sizes</h2>
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<p>You can make libtorrent explicitly set the kernel buffer sizes of all its peer
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sockets. If you set this to a low number, you may see reduced throughput, especially
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for high latency connections. It is however an opportunity to save memory per
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connection, and might be worth considering if you have a very large number of
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peer connections. This memory will not be visible in your process, this sets
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the amount of kernel memory is used for your sockets.</p>
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<p>Change this by setting <tt class="docutils literal"><span class="pre">session_settings::recv_socket_buffer_size</span></tt> and
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<tt class="docutils literal"><span class="pre">session_settings::send_socket_buffer_size</span></tt>.</p>
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</div>
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<div class="section" id="peer-list-size">
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<h2>peer list size</h2>
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<p>The default maximum for the peer list is 4000 peers. For IPv4 peers, each peer
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entry uses 32 bytes, which ends up using 128 kB per torrent. If seeding 4 popular
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torrents, the peer lists alone uses about half a megabyte.</p>
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<p>The default limit is the same for paused torrents as well, so if you have a
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large number of paused torrents (that are popular) it will be even more
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significant.</p>
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<p>If you're short of memory, you should consider lowering the limit. 500 is probably
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enough. You can do this by setting <tt class="docutils literal"><span class="pre">session_settings::max_peerlist_size</span></tt> to
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the max number of peers you want in the torrent's peer list.</p>
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<p>You should also lower the same limit but for paused torrents. It might even make sense
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to set that even lower, since you only need a few peers to start up while waiting
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for the tracker and DHT to give you fresh ones. The max peer list size for paused
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torrents is set by <tt class="docutils literal"><span class="pre">session_settings::max_paused_peerlist_size</span></tt>.</p>
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<p>The drawback of lowering this number is that if you end up in a position where
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the tracker is down for an extended period of time, your only hope of finding live
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peers is to go through your list of all peers you've ever seen. Having a large
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peer list will also help increase performance when starting up, since the torrent
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can start connecting to peers in parallel with connecting to the tracker.</p>
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</div>
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<div class="section" id="send-buffer-watermark">
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<h2>send buffer watermark</h2>
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<p>The send buffer watermark controls when libtorrent will ask the disk I/O thread
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to read blocks from disk, and append it to a peer's send buffer.</p>
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<p>When the send buffer has fewer than or equal number of bytes as
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<tt class="docutils literal"><span class="pre">session_settings::send_buffer_watermark</span></tt>, the peer will ask the disk I/O thread
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for more data to send. The trade-off here is between wasting memory by having too
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much data in the send buffer, and hurting send rate by starving out the socket,
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waiting for the disk read operation to complete.</p>
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<p>If your main objective is memory usage and you're not concerned about being able
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to achieve high send rates, you can set the watermark to 9 bytes. This will guarantee
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that no more than a single (16 kiB) block will be on the send buffer at a time, for
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all peers. This is the least amount of memory possible for the send buffer.</p>
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<p>You should benchmark your max send rate when adjusting this setting. If you have
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a very fast disk, you are less likely see a performance hit.</p>
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</div>
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<div class="section" id="optimize-hashing-for-memory-usage">
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<h2>optimize hashing for memory usage</h2>
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<p>When libtorrent is doing hash checks of a file, or when it re-reads a piece that
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was just completed to verify its hash, there are two options. The default one
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is optimized for speed, which allocates buffers for the entire piece, reads in
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the whole piece in one read call, then hashes it.</p>
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<p>The second option is to optimize for memory usage instead, where a single buffer
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is allocated, and the piece is read one block at a time, hashing it as each
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block is read from the file. For low memory environments, this latter approach
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is recommended. Change this by settings <tt class="docutils literal"><span class="pre">session_settings::optimize_hashing_for_speed</span></tt>
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to false. This will significantly reduce peak memory usage, especially for
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torrents with very large pieces.</p>
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</div>
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<div class="section" id="reduce-executable-size">
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<h2>reduce executable size</h2>
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<p>Compilers generally add a significant number of bytes to executables that make use
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of C++ exceptions. By disabling exceptions (-fno-exceptions on GCC), you can
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reduce the executable size with up to 45%. In order to build without exception
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support, you need to patch parts of boost.</p>
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<p>Also make sure to optimize for size when compiling.</p>
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</div>
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</div>
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<div class="section" id="play-nice-with-the-disk">
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<h1>play nice with the disk</h1>
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<p>When checking a torrent, libtorrent will try to read as fast as possible from the disk.
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The only thing that might hold it back is a CPU that is slow at calculating SHA-1 hashes,
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but typically the file checking is limited by disk read speed. Most operating systems
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today do not prioritize disk access based on the importance of the operation, this means
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that checking a torrent might delay other disk accesses, such as virtual memory swapping
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or just loading file by other (interactive) applications.</p>
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<p>In order to play nicer with the disk, and leave some spare time for it to service other
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processes that might be of higher importance to the end-user, you can introduce a sleep
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between the disc accesses. This is a direct tradeoff between how fast you can check a
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torrent and how soft you will hit the disk.</p>
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<p>You control this by setting the <tt class="docutils literal"><span class="pre">session_settings::file_checks_delay_per_block</span></tt> to greater
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than zero. This number is the number of milliseconds to sleep between each read of 16 kiB.</p>
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<p>The sleeps are not necessarily in between each 16 kiB block (it might be read in larger chunks),
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but the number will be multiplied by the number of blocks that were read, to maintain the
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same semantics.</p>
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</div>
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<div class="section" id="high-performance-seeding">
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<h1>high performance seeding</h1>
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<p>In the case of a high volume seed, there are two main concerns. Performance and scalability.
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This translates into high send rates, and low memory and CPU usage per peer connection.</p>
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<div class="section" id="file-pool">
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<h2>file pool</h2>
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<p>libtorrent keeps an LRU file cache. Each file that is opened, is stuck in the cache. The main
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purpose of this is because of anti-virus software that hooks on file-open and file close to
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scan the file. Anti-virus software that does that will significantly increase the cost of
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opening and closing files. However, for a high performance seed, the file open/close might
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be so frequent that it becomes a significant cost. It might therefore be a good idea to allow
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a large file descriptor cache. Adjust this though <tt class="docutils literal"><span class="pre">session_settings::file_pool_size</span></tt>.</p>
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<p>Don't forget to set a high rlimit for file descriptors in your process as well. This limit
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must be high enough to keep all connections and files open.</p>
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</div>
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<div class="section" id="disk-cache">
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<h2>disk cache</h2>
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<p>You typically want to set the cache size to as high as possible. The
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<tt class="docutils literal"><span class="pre">session_settings::cache_size</span></tt> is specified in 16 kiB blocks. Since you're seeding,
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the cache would be useless unless you also set <tt class="docutils literal"><span class="pre">session_settings::use_read_cache</span></tt>
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to true.</p>
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<p>In order to increase the possibility of read cache hits, set the
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<tt class="docutils literal"><span class="pre">session_settings::cache_expiry</span></tt> to a large number. This won't degrade anything as
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long as the client is only seeding, and not downloading any torrents.</p>
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</div>
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<div class="section" id="send-buffer-low-watermark">
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<h2>send buffer low watermark</h2>
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<p>libtorrent uses a low watermark for send buffers to determine when a new piece should
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be requested from the disk I/O subsystem, to be appended to the send buffer. The low
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watermark is determined based on the send rate of the socket. It needs to be large
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enough to not draining the socket's send buffer before the disk operation completes.</p>
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<p>The watermark is bound to a max value, to avoid buffer sizes growing out of control.
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The default max send buffer size might not be enough to sustain very high upload rates,
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and you might have to increase it. It's specified in bytes in
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<tt class="docutils literal"><span class="pre">session_settings::send_buffer_watermark</span></tt>. The <tt class="docutils literal"><span class="pre">high_performance_seed()</span></tt> preset
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sets this value to 5 MB.</p>
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</div>
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<div class="section" id="peers">
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<h2>peers</h2>
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<p>First of all, in order to allow many connections, set the global connection limit
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high, <tt class="docutils literal"><span class="pre">session::set_max_connections()</span></tt>. Also set the upload rate limit to
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infinite, <tt class="docutils literal"><span class="pre">session::set_upload_rate_limit()</span></tt>, passing 0 means infinite.</p>
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<p>When dealing with a large number of peers, it might be a good idea to have slightly
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stricter timeouts, to get rid of lingering connections as soon as possible.</p>
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<p>There are a couple of relevant settings: <tt class="docutils literal"><span class="pre">session_settings::request_timeout</span></tt>,
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<tt class="docutils literal"><span class="pre">session_settings::peer_timeout</span></tt> and <tt class="docutils literal"><span class="pre">session_settings::inactivity_timeout</span></tt>.</p>
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<p>For seeds that are critical for a delivery system, you most likely want to allow
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multiple connections from the same IP. That way two people from behind the same NAT
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can use the service simultaneously. This is controlled by
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<tt class="docutils literal"><span class="pre">session_settings::allow_multiple_connections_per_ip</span></tt>.</p>
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<p>In order to always unchoke peers, turn off automatic unchoke
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<tt class="docutils literal"><span class="pre">session_settings::auto_upload_slots</span></tt> and set the number of upload slots to a large
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number via <tt class="docutils literal"><span class="pre">session::set_max_uploads()</span></tt>, or use -1 (which means infinite).</p>
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</div>
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<div class="section" id="torrent-limits">
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<h2>torrent limits</h2>
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<p>To seed thousands of torrents, you need to increase the <tt class="docutils literal"><span class="pre">session_settings::active_limit</span></tt>
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and <tt class="docutils literal"><span class="pre">session_settings::active_seeds</span></tt>.</p>
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</div>
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</div>
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<div class="section" id="benchmarking">
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<h1>benchmarking</h1>
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<p>There are a bunch of built-in instrumentation of libtorrent that can be used to get an insight
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into what it's doing and how well it performs. This instrumentation is enabled by defining
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preprocessor symbols when building.</p>
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<p>There are also a number of scripts that parses the log files and generates graphs (requires
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gnuplot and python).</p>
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<div class="section" id="disk-metrics">
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<h2>disk metrics</h2>
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<p>To enable disk I/O instrumentation, define <tt class="docutils literal"><span class="pre">TORRENT_DISK_STATS</span></tt> when building. When built
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with this configuration libtorrent will create three log files, measuring various aspects of
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the disk I/O. The following table is an overview of these files and what they measure.</p>
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<table border="1" class="docutils">
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<colgroup>
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<col width="30%" />
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<col width="70%" />
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</colgroup>
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<thead valign="bottom">
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<tr><th class="head">filename</th>
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<th class="head">description</th>
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</tr>
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</thead>
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<tbody valign="top">
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<tr><td><tt class="docutils literal"><span class="pre">disk_io_thread.log</span></tt></td>
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<td>This is a log of which operation the disk I/O thread is
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engaged in, with timestamps. This tells you what the thread
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is spending its time doing.</td>
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</tr>
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<tr><td><tt class="docutils literal"><span class="pre">disk_buffers.log</span></tt></td>
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<td>This log keeps track of what the buffers allocated from the
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disk buffer pool are used for. There are 5 categories.
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receive buffer, send buffer, write cache, read cache and
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temporary hash storage. This is key when optimizing memory
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usage.</td>
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</tr>
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<tr><td><tt class="docutils literal"><span class="pre">disk_access.log</span></tt></td>
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<td>This is a low level log of read and write operations, with
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timestamps and file offsets. The file offsets are byte
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offsets in the torrent (not in any particular file, in the
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case of a multi-file torrent). This can be used as an
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estimate of the physical drive location. The purpose of
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this log is to identify the amount of seeking the drive has
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to do.</td>
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</tr>
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</tbody>
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</table>
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<div class="section" id="disk-io-thread-log">
|
|
<h3>disk_io_thread.log</h3>
|
|
<p>The structure of this log is simple. For each line, there are two columns, a timestamp and
|
|
the operation that was started. There is a special operation called <tt class="docutils literal"><span class="pre">idle</span></tt> which means
|
|
it looped back to the top and started waiting for new jobs. If there are more jobs to
|
|
handle immediately, the <tt class="docutils literal"><span class="pre">idle</span></tt> state is still there, but the timestamp is the same as the
|
|
next job that is handled.</p>
|
|
<p>Some operations have a 3:rd column with an optional parameter. <tt class="docutils literal"><span class="pre">read</span></tt> and <tt class="docutils literal"><span class="pre">write</span></tt> tells
|
|
you the number of bytes that were requested to be read or written. <tt class="docutils literal"><span class="pre">flushing</span></tt> tells you
|
|
the number of bytes that were flushed from the disk cache.</p>
|
|
<p>This is an example excerpt from a log:</p>
|
|
<pre class="literal-block">
|
|
3702 idle
|
|
3706 check_fastresume
|
|
3707 idle
|
|
4708 save_resume_data
|
|
4708 idle
|
|
8230 read 16384
|
|
8255 idle
|
|
8431 read 16384
|
|
</pre>
|
|
<p>The script to parse this log and generate a graph is called <tt class="docutils literal"><span class="pre">parse_disk_log.py</span></tt>. It takes
|
|
the log file as the first command line argument, and produces a file: <tt class="docutils literal"><span class="pre">disk_io.png</span></tt>.
|
|
The time stamp is in milliseconds since start.</p>
|
|
<p>You can pass in a second, optional, argument to specify the window size it will average
|
|
the time measurements over. The default is 5 seconds. For long test runs, it might be interesting
|
|
to increase that number. It is specified as a number of seconds.</p>
|
|
<img alt="disk_io.png" src="disk_io.png" />
|
|
<p>This is an example graph generated by the parse script.</p>
|
|
</div>
|
|
<div class="section" id="disk-buffers-log">
|
|
<h3>disk_buffers.log</h3>
|
|
<p>The disk buffer log tells you where the buffer memory is used. The log format has a time stamp,
|
|
the name of the buffer usage which use-count changed, colon, and the new number of blocks that are
|
|
in use for this particular key. For example:</p>
|
|
<pre class="literal-block">
|
|
23671 write cache: 18
|
|
23671 receive buffer: 3
|
|
24153 receive buffer: 2
|
|
24153 write cache: 19
|
|
24154 receive buffer: 3
|
|
24198 receive buffer: 2
|
|
24198 write cache: 20
|
|
24202 receive buffer: 3
|
|
24305 send buffer: 0
|
|
24305 send buffer: 1
|
|
24909 receive buffer: 2
|
|
24909 write cache: 21
|
|
24910 receive buffer: 3
|
|
</pre>
|
|
<p>The time stamp is in milliseconds since start.</p>
|
|
<p>To generate a graph, use <tt class="docutils literal"><span class="pre">parse_disk_buffer_log.py</span></tt>. It takes the log file as the first
|
|
command line argument. It generates <tt class="docutils literal"><span class="pre">disk_buffer.png</span></tt>.</p>
|
|
<img alt="disk_buffer_sample.png" src="disk_buffer_sample.png" />
|
|
<p>This is an example graph generated by the parse script.</p>
|
|
</div>
|
|
<div class="section" id="disk-access-log">
|
|
<h3>disk_access.log</h3>
|
|
<p>The disc access log has three fields. The timestamp (milliseconds since start), operation
|
|
and offset. The offset is the absolute offset within the torrent (not within a file). This
|
|
log is only useful when you're downloading a single torrent, otherwise the offsets will not
|
|
be unique.</p>
|
|
<p>In order to easily plot this directly in gnuplot, without parsing it, there are two lines
|
|
associated with each read or write operation. The first one is the offset where the operation
|
|
started, and the second one is where the operation ended.</p>
|
|
<p>Example:</p>
|
|
<pre class="literal-block">
|
|
15437 read 301187072
|
|
15437 read_end 301203456
|
|
16651 read 213385216
|
|
16680 read_end 213647360
|
|
25879 write 249036800
|
|
25879 write_end 249298944
|
|
26811 read 325582848
|
|
26943 read_end 325844992
|
|
36736 read 367001600
|
|
36766 read_end 367263744
|
|
</pre>
|
|
<p>The disk access log does not have any good visualization tool yet. There is however a gnuplot
|
|
file, <tt class="docutils literal"><span class="pre">disk_access.gnuplot</span></tt> which assumes <tt class="docutils literal"><span class="pre">disk_access.log</span></tt> is in the current directory.</p>
|
|
<img alt="disk_access.png" src="disk_access.png" />
|
|
<p>The density of the disk seeks tells you how hard the drive has to work.</p>
|
|
</div>
|
|
</div>
|
|
<div class="section" id="session-stats">
|
|
<h2>session stats</h2>
|
|
<p>By defining <tt class="docutils literal"><span class="pre">TORRENT_STATS</span></tt> libtorrent will write a log file called <tt class="docutils literal"><span class="pre">session_stats.log</span></tt> which
|
|
is in a format ready to be passed directly into gnuplot. The parser script <tt class="docutils literal"><span class="pre">parse_session_stats.py</span></tt>
|
|
will however parse out the field names and generate 3 different views of the data. This script
|
|
is easy to modify to generate the particular view you're interested in.</p>
|
|
<p>The first line in the log contains all the field names, separated by colon:</p>
|
|
<pre class="literal-block">
|
|
second:upload rate:download rate:downloading torrents:seeding torrents:peers...
|
|
</pre>
|
|
<p>The rest of the log is one line per second with all the fields' values.</p>
|
|
<p>These are the fields:</p>
|
|
<table border="1" class="docutils">
|
|
<colgroup>
|
|
<col width="25%" />
|
|
<col width="75%" />
|
|
</colgroup>
|
|
<thead valign="bottom">
|
|
<tr><th class="head">field name</th>
|
|
<th class="head">description</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody valign="top">
|
|
<tr><td>second</td>
|
|
<td>the time, in seconds, for this log line</td>
|
|
</tr>
|
|
<tr><td>upload rate</td>
|
|
<td>the number of bytes uploaded in the last second</td>
|
|
</tr>
|
|
<tr><td>download rate</td>
|
|
<td>the number of bytes downloaded in the last second</td>
|
|
</tr>
|
|
<tr><td>downloading torrents</td>
|
|
<td>the number of torrents that are not seeds</td>
|
|
</tr>
|
|
<tr><td>seeding torrents</td>
|
|
<td>the number of torrents that are seed</td>
|
|
</tr>
|
|
<tr><td>peers</td>
|
|
<td>the total number of connected peers</td>
|
|
</tr>
|
|
<tr><td>connecting peers</td>
|
|
<td>the total number of peers attempting to connect (half-open)</td>
|
|
</tr>
|
|
<tr><td>disk block buffers</td>
|
|
<td>the total number of disk buffer blocks that are in use</td>
|
|
</tr>
|
|
<tr><td>unchoked peers</td>
|
|
<td>the total number of unchoked peers</td>
|
|
</tr>
|
|
<tr><td>num list peers</td>
|
|
<td>the total number of known peers, but not necessarily connected</td>
|
|
</tr>
|
|
<tr><td>peer allocations</td>
|
|
<td>the total number of allocations for the peer list pool</td>
|
|
</tr>
|
|
<tr><td>peer storage bytes</td>
|
|
<td>the total number of bytes allocated for the peer list pool</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p>This is an example of a graph that can be generated from this log:</p>
|
|
<img alt="session_stats_peers.png" src="session_stats_peers.png" />
|
|
<p>It shows statistics about the number of peers and peers states. How at the startup
|
|
there are a lot of half-open connections, which tapers off as the total number of
|
|
peers approaches the limit (50). It also shows how the total peer list slowly but steadily
|
|
grows over time. This list is plotted against the right axis, as it has a different scale
|
|
as the other fields.</p>
|
|
</div>
|
|
</div>
|
|
<div class="section" id="contributions">
|
|
<h1>contributions</h1>
|
|
<p>If you have added instrumentation for some part of libtorrent that is not covered here, or
|
|
if you have improved any of the parser scrips, please consider contributing it back to the
|
|
project.</p>
|
|
<p>If you have run tests and found that some algorithm or default value in libtorrent is
|
|
suboptimal, please contribute that knowledge back as well, to allow us to improve the library.</p>
|
|
<p>If you have additional suggestions on how to tune libtorrent for any specific use case,
|
|
please let us know and we'll update this document.</p>
|
|
</div>
|
|
</div>
|
|
<div id="footer">
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|
<span>Copyright © 2005 Rasterbar Software.</span>
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</div>
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