forked from premiere/premiere-libtorrent
337 lines
15 KiB
ReStructuredText
337 lines
15 KiB
ReStructuredText
=================
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libtorrent manual
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=================
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:Author: Arvid Norberg, arvid@libtorrent.org
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:Version: 1.2.0
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.. contents:: Table of contents
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:depth: 2
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:backlinks: none
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introduction
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============
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libtorrent is a feature complete C++ bittorrent implementation focusing
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on efficiency and scalability. It runs on embedded devices as well as
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desktops. It boasts a well documented library interface that is easy to
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use. It comes with a simple bittorrent client demonstrating the use of
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the library.
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features
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========
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libtorrent is an ongoing project under active development. Its
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current state supports and includes the following features:
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extensions
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----------
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* plugin interface for implementing custom bittorrent extensions
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without having to modify libtorrent
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* supports trackerless torrents (using the Mainline kademlia DHT protocol) with
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some `DHT extensions`_. `BEP 5`_.
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* supports the bittorrent `extension protocol`_. See extensions_. `BEP 10`_.
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* supports the uTorrent metadata transfer protocol `BEP 9`_ (i.e. magnet links).
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* supports the uTorrent peer exchange protocol (PEX).
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* supports local peer discovery (multicasts for peers on the same local network)
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* multitracker extension support (supports both strict `BEP 12`_ and the
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uTorrent interpretation).
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* tracker scrapes
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* supports lt_trackers extension, to exchange trackers between peers
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* `HTTP seeding`_, as specified in `BEP 17`_ and `BEP 19`_.
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* supports the udp-tracker protocol. (`BEP 15`_).
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* supports the ``no_peer_id=1`` extension that will ease the load off trackers.
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* supports the ``compact=1`` tracker parameter.
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* super seeding/initial seeding (`BEP 16`_).
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* private torrents (`BEP 27`_).
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* upload-only extension (`BEP 21`_).
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* support for IPv6, including `BEP 7`_ and `BEP 24`_.
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* support for merkle hash tree torrents. This makes the size of torrent files
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scale well with the size of the content.
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* share-mode. This is a special mode torrents can be put in to optimize share
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ratio rather than downloading the torrent.
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.. _article: utp.html
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.. _extensions: manual-ref.html#extensions
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.. _`http seeding`: manual-ref.html#http-seeding
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disk management
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---------------
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* can use multipled disk I/O threads to not have the disk block network or
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client interaction.
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* supports verifying the SHA-1 hash of pieces in multiple threads, to take
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advantage of multi core machines.
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* supports files > 2 gigabytes.
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* fast resume support, a way to avoid the costly piece check at the
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start of a resumed torrent. Saves the storage state, piece_picker state
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as well as all local peers in a fast-resume file.
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* has an adjustable read and write disk cache for improved disk throughput.
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* queues torrents for file check, instead of checking all of them in parallel.
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* does not have any requirements on the piece order in a torrent that it
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resumes. This means it can resume a torrent downloaded by any client.
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* seed mode, where the files on disk are assumed to be complete, and each
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piece's hash is verified the first time it is requested.
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* implements an ARC disk cache, tuned for performing well under bittorrent work
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loads
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network
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-------
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* a high quality uTP implementation (`BEP 29`_). A transport protocol with
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delay based congestion control. See separate article_.
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* adjusts the length of the request queue depending on download rate.
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* serves multiple torrents on a single port and in a single thread
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* piece picking on block-level (as opposed to piece-level).
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This means it can download parts of the same piece from different peers.
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It will also prefer to download whole pieces from single peers if the
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download speed is high enough from that particular peer.
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* supports http proxies and basic proxy authentication
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* supports gzipped tracker-responses
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* can limit the upload and download bandwidth usage and the maximum number of
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unchoked peers
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* possibility to limit the number of connections.
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* delays have messages if there's no other outgoing traffic to the peer, and
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doesn't send have messages to peers that already has the piece. This saves
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bandwidth.
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* selective downloading. The ability to select which parts of a torrent you
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want to download.
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* ip filter to disallow ip addresses and ip ranges from connecting and
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being connected.
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* NAT-PMP and UPnP support (automatic port mapping on routers that supports it)
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* implements automatic upload slots, to optimize download rate without spreading
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upload capacity too thin. The number of upload slots is adjusted based on the
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peers' download capacity to work even for connections that are orders of
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magnitude faster than others.
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.. _`DHT extensions`: dht_extensions.html
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.. _`BEP 5`: http://bittorrent.org/beps/bep_0005.html
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.. _`BEP 7`: http://bittorrent.org/beps/bep_0007.html
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.. _`BEP 9`: http://bittorrent.org/beps/bep_0009.html
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.. _`BEP 10`: http://bittorrent.org/beps/bep_0010.html
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.. _`BEP 12`: http://bittorrent.org/beps/bep_0012.html
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.. _`BEP 15`: http://bittorrent.org/beps/bep_0015.html
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.. _`BEP 16`: http://bittorrent.org/beps/bep_0016.html
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.. _`BEP 17`: http://bittorrent.org/beps/bep_0017.html
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.. _`BEP 19`: http://bittorrent.org/beps/bep_0019.html
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.. _`BEP 21`: http://bittorrent.org/beps/bep_0021.html
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.. _`BEP 24`: http://bittorrent.org/beps/bep_0024.html
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.. _`BEP 27`: http://bittorrent.org/beps/bep_0027.html
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.. _`BEP 29`: http://bittorrent.org/beps/bep_0029.html
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.. _`extension protocol`: extension_protocol.html
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highlighted features
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====================
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disk caching
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------------
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All disk I/O in libtorrent is done asynchronously to the network thread, by the
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disk io threads. When a block is read, the disk io thread reads all subsequent
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blocks from that piece into the read cache, assuming that the peer requesting
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the block will also request more blocks from the same piece. This decreases the
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number of syscalls for reading data. It also decreases delay from seeking.
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Similarly, for write requests, blocks are cached and flushed to disk once one full
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piece is complete or the piece is the least recently updated one when more cache
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space is needed. The cache dynamically allocates space between the write and read
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cache. The write cache is strictly prioritized over the read cache.
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The cache blocks that are in used, are locked into physical memory to avoid it
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being paged out to disk. Allowing the disk cache to be paged out to disk means
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that it would become extremely inefficient to flush it, since it would have to be
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read back into physical memory only to be flushed back out to disk again.
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In order to conserve memory, and system calls, iovec file operations are
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used to flush multiple cache blocks in a single call.
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On low-memory systems, the disk cache can be disabled altogether or set to smaller
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limit, to save memory.
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The disk caching algorithm is configurable between 'LRU' and 'largest contiguous'.
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The largest contiguous algorithm is the default and flushes the largest contiguous
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block of buffers, instead of flushing all blocks belonging to the piece which was
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written to least recently.
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network buffers
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---------------
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On CPUs with small L2 caches, copying memory can be expensive operations. It is important
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to keep copying to a minimum on such machines. This mostly applies to embedded systems.
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In order to minimize the number of times received data is copied, the receive buffer
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for payload data is received directly into a page aligned disk buffer. If the connection
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is encrypted, the buffer is decrypted in-place. The buffer is then moved into the disk
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cache without being copied. Once all the blocks for a piece have been received, or the
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cache needs to be flushed, all the blocks are passed directly to ``writev()`` to flush
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them in a single syscall. This means a single copy into user space memory, and a single
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copy back into kernel memory, as illustrated by this figure:
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.. image:: write_disk_buffers.png
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:width: 100%
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When seeding and uploading in general, unnecessary copying is avoided by caching blocks
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in aligned buffers, that are copied once into the peer's send buffer. The peer's send buffer
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is not guaranteed to be aligned, even though it is most of the time. The send buffer is
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then encrypted with the peer specific key and chained onto the ``iovec`` for sending.
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This means there is one user space copy in order to allow unaligned peer requests and
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peer-specific encryption. This is illustrated by the following figure:
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.. image:: read_disk_buffers.png
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:width: 100%
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piece picker
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------------
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The piece picker is a central component in a bittorrent implementation. The piece picker
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in libtorrent is optimized for quickly finding the rarest pieces. It keeps a list of all
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available pieces sorted by rarity, and pieces with the same rarity, shuffled. The rarest
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first mode is the dominant piece picker mode. Other modes are supported as well, and
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used by peers in specific situations.
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The piece picker allows to combine the availability of a piece with a priority. Together
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they determine the sort order of the piece list. Pieces with priority 0 will never be
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picked, which is used for the selective download feature.
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In order to have as few partially finished pieces as possible, peers have an affinity
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towards picking blocks from the same pieces as other peers in the same speed category.
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The speed category is a coarse categorization of peers based on their download rate. This
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makes slow peers pick blocks from the same piece, and fast peers pick from the same piece,
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and hence decreasing the likelihood of slow peers blocking the completion of pieces.
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The piece picker can also be set to download pieces in sequential order.
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share mode
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----------
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The share mode feature in libtorrent is intended for users who are only interested in
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helping out swarms, not downloading the torrents.
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It works by predicting the demand for pieces, and only download pieces if there is enough
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demand. New pieces will only be downloaded once the share ratio has hit a certain target.
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This feature is especially useful when combined with RSS, so that a client can be set up
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to provide additional bandwidth to an entire feed.
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merkle hash tree torrents
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-------------------------
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.. image:: merkle_tree.png
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:align: right
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Merkle hash tree torrents is an extension that lets a torrent file only contain the
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root hash of the hash tree forming the piece hashes. The main benefit of this feature
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is that regardless of how many pieces there is in a torrent, the .torrent file will
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always be the same size. It will only grow with the number of files (since it still
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has to contain the file names).
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With regular torrents, clients have to request multiple blocks for pieces, typically
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from different peers, before the data can be verified against the piece hash. The
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larger the pieces are, the longer it will take to download a complete piece and verify
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it. Before the piece is verified, it cannot be shared with the swarm, which means the
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larger piece sizes, the slower turnaround data has when it is downloaded by peers.
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Since on average the data has to sit around, waiting, in client buffers before it has
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been verified and can be uploaded again.
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Another problem with large piece sizes is that it is harder for a client to pinpoint
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the malicious or buggy peer when a piece fails, and it will take longer to re-download
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it and take more tries before the piece succeeds the larger the pieces are.
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The piece size in regular torrents is a tradeoff between the size of the .torrent file
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itself and the piece size. Often, for files that are 4 GB, the piece size is 2 or 4 MB,
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just to avoid making the .torrent file too big.
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Merkle torrents solves these problems by removing the tradeoff between .torrent size and
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piece size. With merkle torrents, the piece size can be the minimum block size (16 kB),
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which lets peers verify every block of data received from peers, immediately. This
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gives a minimum turnaround time and completely removes the problem of identifying malicious
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peers.
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The root hash is built by hashing all the piece hashes pair-wise, until they all collapse
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down to the root.
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customizable file storage
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-------------------------
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.. image:: storage.png
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:align: right
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libtorrent's storage implementation is customizable. That means a special purpose bittorrent
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client can replace the default way to store files on disk.
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When implementing a bittorrent cache, it doesn't matter how the data is stored on disk, as
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long as it can be retrieved and seeded. In that case a new storage class can be implemented
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(inheriting from the ``storage_interface`` class) that avoids the unnecessary step of mapping
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slots to files and offsets. The storage can ignore the file boundaries and just store the
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entire torrent in a single file (which will end up being all the files concatenated). The main
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advantage of this, other than a slight cpu performance gain, is that all file operations would
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be page (and sector) aligned. This enables efficient unbuffered I/O, and can potentially
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lead to more efficient read caching (using the built in disk cache rather than relying on the
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operating system's disk cache).
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The storage interface supports operating systems where you can ask for sparse regions
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(such as Windows and Solaris). The advantage of this is that when checking files, the regions
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that are known to be sparse can be skipped, which can reduce the time to check a torrent
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significantly.
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easy to use API
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---------------
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One of the design goals of the libtorrent API is to make common operations simple, but still
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have it possible to do complicated and advanced operations. This is best illustrated by example
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code to implement a simple bittorrent client::
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#include <iostream>
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#include "libtorrent/session.hpp"
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// usage a.out [torrent-file]
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int main(int argc, char* argv[]) try
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{
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using namespace libtorrent;
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session s;
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s.listen_on(std::make_pair(6881, 6889));
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add_torrent_params p;
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p.save_path = "./";
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p.ti = new torrent_info(argv[1]);
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s.add_torrent(p);
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// wait for the user to end
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char a;
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std::cin.unsetf(std::ios_base::skipws);
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std::cin >> a;
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return 0;
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}
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catch (std::exception& e)
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{
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std::cerr << ec.what() << std::endl;
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return 1;
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}
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This client doesn't give the user any status information or progress about the torrent, but
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it is fully functional.
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libtorrent also comes with python bindings for easy access for python developers.
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portability
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===========
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libtorrent runs on most major operating systems, including Windows,
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MacOS X, Linux, BSD and Solaris.
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It uses Boost.Thread, Boost.Filesystem, Boost.Date_time and various other
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boost libraries. At least version 1.46.1 of boost is required.
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libtorrent uses asio, hence it will take full advantage of high performance
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network APIs on the most popular platforms. I/O completion ports on windows,
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epoll on linux and kqueue on MacOS X and BSD.
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libtorrent does not build with the following compilers:
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* GCC 2.95.4
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* Visual Studio 6, 7.0, 7.1
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