Английская Википедия:DBM (computing)
Шаблон:Short description Шаблон:About Шаблон:Refimprove In computing, a DBM is a library and file format providing fast, single-keyed access to data. A key-value database from the original Unix, dbm is an early example of a NoSQL system.[1][2][3]
History
The original dbm library and file format was a simple database engine, originally written by Ken Thompson and released by AT&T in 1979. The name is a three letter acronym for DataBase Manager, and can also refer to the family of database engines with APIs and features derived from the original dbm.
The dbm library stores arbitrary data by use of a single key (a primary key) in fixed-size buckets and uses hashing techniques to enable fast retrieval of the data by key.
The hashing scheme used is a form of extendible hashing, so that the hashing scheme expands as new buckets are added to the database, meaning that, when nearly empty, the database starts with one bucket, which is then split when it becomes full. The two resulting child buckets will themselves split when they become full, so the database grows as keys are added.
The dbm library and its derivatives are pre-relational databasesШаблон:Snd they manage associative arrays, implemented as on-disk hash tables. In practice, they can offer a more practical solution for high-speed storage accessed by key, as they do not require the overhead of connecting and preparing queries. This is balanced by the fact that they can generally only be opened for writing by a single process at a time. An agent daemon can handle requests from multiple processes, but introduces IPC overhead.
Implementations
The original AT&T dbm library has been replaced by its many successor implementations. Notable examples include:[3]
- ndbm ("new dbm"), based on the original dbm with some new features.
- GDBM ("GNU dbm"), GNU rewrite of the library implementing ndbm features and its own interface. Also provides new features like crash tolerance for guaranteeing data consistency.[4][5]
- sdbm ("small dbm"), a public domain rewrite of dbm. It is a part of the standard distribution for Perl and is available as an external library for Ruby.[6][7]
- qdbm ("Quick Database Manager"), a higher-performance dbm employing many of the same techniques as Tokyo/Kyoto Cabinet. Written by the same author before they moved on to the cabinets.[8]
- tdb ("Trivial Database"), a simple database used by Samba that supports multiple writers. Has a gdbm-based API.[9]
- Berkeley DB, 1991 replacement of ndbm by Sleepycat Software (now Oracle) created to get around the AT&T Unix copyright on BSD. It features many extensions like parallelism, transactional control, hashing, and B tree storage.
- LMDB: copy-on-write memory-mapped B+ tree implementation in C with a Berkeley-style API.
The following databases are dbm-inspired, but they do not directly provide a dbm interface, even though it would be trivial to wrap one:
- cdb ("constant database"), database by Daniel J. Bernstein, database files can only be created and read, but never be modified
- Tkrzw, an Apache 2.0 licensed successor to Kyoto Cabinet and Tokyo Cabinet
- WiredTiger: database with traditional row-oriented and column-oriented storage.
Availability
As of 2001, the ndbm implementation of DBM was standard on Solaris and IRIX, whereas gdbm is ubiquitous on Linux. The Berkeley DB implementations were standard on some free operating systems.[2][10] After a change of licensing of the Berkeley DB to GNU AGPL in 2013, projects like Debian have moved to LMDB.[11]
Reliability
A 2018 AFL fuzzing test against many DBM-family databases exposed many problems in implementations when it comes to corrupt or invalid database files. Only freecdb by Daniel J. Bernstein showed no crashes. The authors of gdbm, tdb, and lmdb were prompt to respond. Berkeley DB fell behind due to the sheer amount of other issues;[10] the fixes would be irrelevant to open-source software users due to the licensing change locking them back on an old version.[11]
See also
- Embedded database
- Flat file database
- ISAM
- Key-value database
- Mobile database
- NoSQL
- Semaphore (programming)
References
Bibliography
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