204 lines
6.9 KiB
Plaintext
204 lines
6.9 KiB
Plaintext
Source Object (low level) cache backing store
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=============================================
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Introduction
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------------
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The source object cache provides a system to extend the life of source
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objects (html files, images etc.) after they are no longer immediately
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being used.
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Only fetch types where we have well defined rules on caching are
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considered, in practice this limits us to HTTP(S). The section in
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RFC2616 [1] on caching specifies these rules.
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To futher extend the objects lifetime they can be pushed into a
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backing store where the objects are available for reuse less quickly
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than from RAM but faster than retriving from the network again.
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The backing store implementation provides a key:value infrastructure
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with a simple store, retrive and invalidate interface.
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Generic filesystem backing store
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--------------------------------
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Although the backing store interface is fully pluggable a generic
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implementation based on storing objects on the filesystem in a
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heirachy of directories.
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The option to alter the backing store format exists and is controled
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by a version field. It is implementation defined what happens if a
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version mis-match occours.
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As the backing store only holds cache data one should not expect a
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great deal of effort to be expended converting formats (i.e. the cache
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may simply be discarded).
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Layout version 1.1
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------------------
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An object has an identifier value generated from the url (NetSurf
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backing stores uses the url as the unique key). The value used is
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obtained using nsurl_hash() which is currently a 32 bit FNV so is
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directly usable.
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This identifier is adequate to ensure the collision rate for the
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hashed url values (a collision for every 2^16 urls added) is
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sufficiently low the overhead of returning the wrong object (which
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backing stores are permitted to do) is not significat.
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An entry list is maintained which contains all the metadata about a
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given identifier. This list is limited in length to constrain the
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resources necessary to maintain it. It is made persistant to avoid the
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overhead of reconstructing it at initialisation and to keep the data
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used to improve the eviction decisions.
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Each object is stored and retrived directly into the filesystem using
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a filename generated from a RFC4648 base32 encoding of an address
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value. The objects address is derived from the identifier by cropping
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it to a shorter length.
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A mapping between the object address and its entry is maintained which
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uses storage directly proportional to the size of the address length.
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The cropping length is stored in the control file with the default
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values set at compile time. This allows existing backing stores to
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continue operating with existing data independantly of new default
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setting. This setting gives some ability to tune the default cache
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index size to values suitable for a specific host operating system.
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E.g. Linux based systems can easily cope with several megabytes of
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mmaped index but RISC OS might want to limit this to a few megabytes
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of heap at most.
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The files are stored on disc using their base32 address value.
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By creating a directory for each character of the encoded filename
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(except the last which is of course the leafname) we create a
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directory structure where no directory has more than 32 entries.
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E.g. A 19bit address of 0x1 would be base32 encoded into AAAB
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resulting in the data being stored in a file path of
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"/store/prefix/d/B/A/A/BAAAAA".
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An address of 0x00040001 encodes to BAAB and a file path of
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"/store/prefix/m/B/A/A/BAABAAA"
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Version 1.0
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-----------
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The version 1 layout was identical to the 1.1 except base64url
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encoding was used, this proved problematic as some systems filesystems
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were case insensitive so upper and lower case letetrs collided.
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There is no upgrade provision from the previous version simply delete
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the cache directory.
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Control files
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~~~~~~~~~~~~~
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control
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+++++++
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A control file is used to hold a list of values describing how the
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other files in the backing store should be used.
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entries
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+++++++
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this file contains a table of entries describing the files held on the
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filesystem.
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Each control file table entry is 28 bytes and consists of
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- signed 64 bit value for last use time
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- 32bit full url hash allowing for index reconstruction and
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addiitonal collision detection. Also the possibility of increasing
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the ADDRESS_LENGTH although this would require renaming all the
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existing files in the cache and is not currently implemented.
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- unsigned 32bit length for data
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- unsigned 32bit length for metadata
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- unsigned 16bit value for number of times used.
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- unsigned 16bit value for flags
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- unsigned 16bit value for data block index (unused)
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- unsigned 16bit value for metatdata block index (unused)
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Address to entry index
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~~~~~~~~~~~~~~~~~~~~~~
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An entry index is held in RAM that allows looking up the address to
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map to an entry in the control file.
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The index is the only data structure whose size is directly depndant
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on the length of the hash specificaly:
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(2 ^ (ADDRESS_BITS - 3)) * ENTRY_BITS) in bytes
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where ADDRESS_BITS is how long the address is in bits and ENTRY_BITS
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is how many entries the control file (and hence the while
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cache) may hold.
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RISCOS values
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+++++++++++++
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By limiting the ENTRY_BITS size to 14 (16,384 entries) the entries
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list is limited to 448kilobytes.
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The typical values for RISC OS would set ADDRESS_BITS to 18. This
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spreads the entries over 262144 hash values which uses 512 kilobytes
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for the index. Limiting the hash space like this reduces the
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efectiveness of the cache.
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A small ADDRESS_LENGTH causes a collision (two urls with the same
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address) to happen roughly for every 2 ^ (ADDRESS_BITS / 2) = 2 ^ 9 =
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512 objects stored. This roughly translates to a cache miss due to
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collision every ten pages navigated to.
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Larger systems
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++++++++++++++
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In general ENTRY_BITS set to 16 as this limits the store to 65536
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objects which given the average size of an object at 8 kilobytes
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yeilds half a gigabyte of disc used which is judged to be sufficient.
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For larger systems e.g. those using GTK frontend we would most likely
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select ADDRESS_BITS as 22 resulting in a collision every 2048 objects
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but the index using some 8 Megabytes
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Typical values
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--------------
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Example 1
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~~~~~~~~~
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For a store with 1034 objects genrated from a random navigation of
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pages linked from the about:welcome page.
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Metadata total size is 593608 bytes an average of 574 bytes. The
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majority of the storage is used to hold the urls and headers.
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Data total size is 9180475 bytes a mean of 8879 bytes 1648726 in the
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largest 10 entries which if excluded gives 7355 bytes average size
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Example 2
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~~~~~~~~~
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355 pages navigated in 80 minutes from about:welcome page and a
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handful of additional sites (google image search and reddit)
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2018 objects in cache at quit. 400 objects from news.bbc.co.uk alone
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Metadata total 987,439 bytes mean of 489 bytes
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data total 33,127,831 bytes mean of 16,416 bytes
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with one single 5,000,811 byte gif
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data totals without gif is 28,127,020 mean 13,945
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[1] http://tools.ietf.org/html/rfc2616#section-13 |