Serialization + persistance : in a few lines of code, compress and annotate Python objects into SQLite; then later retrieve them chronologically by keywords without any SQL. Most useful "standard" module for a database to store schema-less data.
Features:
- single standard Python module for serialized data storage.
- elegant user methods (write Python code; not necessarily SQL).
- includes compression, plus support for storing file and URL contents.
- optimized for speed, security, and concurrency.
- searched objects can be retrieved as a dictionary (data subset).
- search syntax supports (unix filename) regular expression.
- useful as persistent generalized queue.
- embedded documentation includes useful tips and references.
- very easy to use immediately (import module for all practical projects).
- README: http://yserial.sourceforge.net
- [ in beta: Farm of databases for concurrency ]
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Ratings and Reviews
- Thumbs up: 14
- Thumbs down: 0
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Thumbs up
this essentially unifies standard modules: sqlite3, zlib, gzip, cPickle -- to compress Python objects (such as a dictionaries, lists, and classes) for persistance in a SQL database -- fast access in a few lines of code (without SQL). Easy to maintain all objects under (project) tables in a *single* compact database file. Helpful examples, functions, and comments within the module.
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Thumbs up
Excellent and elegant -- all those complicated protocols and SQL statements *simplified* to something easy as opening/closing files.
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Thumbs up
Works great. Will add to tools for bioinformatics. Learned a lot from the docs. Thank you.
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rsvpcode created the v0.52 :: Farm of databases for concurrency forum thread -
File released: /y_serial_v052.py
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rsvpcode created the v0.51 :: fast FIFO queue forum thread -
File released: /y_serial_v051.py
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rsvpcode created the v0.50 :: TOP-DOWN GENERALIZED REWRITE forum thread -
File released: /y_serial_v050.py
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rsvpcode created the v0.28 :: str for regex / copying / -deadlock forum thread -
File released: /y_serial_v028.py
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y_serial: warehouse Py objects w/ SQLite Actions
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