Projects tagged ‘tokyocabinet’

Bitcache

Analyzed 1 day ago

Distributed, content-addressable storage system with repository backends for Memcached, SFTP, Amazon S3, etc.

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over 14 years since last commit

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Mostly written in Ruby

Licenses: Public_Do...

A pythonic python-only implementation of Tokyo Tyrant protocol. Table extension and query operations are also implementend. Python 2.4+ is needed This library takes a "pythonic" approach to make it more clear and easy to implement. This code is based on pytyrant More information about Tokyo ... [More] Cabinet: http://tokyocabinet.sourceforge.net/ More information about Tokyo Tyrant: http://tokyocabinet.sourceforge.net/tyrantdoc/ Hash DatabaseUsing hash database is like using dictionaries on python with some extra features. (You can see the docstrings to learn all the features) >>> import pyrant >>> t = pyrant.Tyrant(host='127.0.0.1', port=1978) >>> t['key'] = 'foo' >>> print t['key'] foo >>> t.concat('key', 'bar') >>> print t['key'] foobar >>> 'key' in t True >>> del t['key'] >>> print t['key'] Traceback (most recent call last): ... KeyError: 'key'Table Databasepyrant supports table records and query operations. To insert a record just use as before but set a dictionary as value. Table record example >>> from pyrant import Tyrant, Q >>> t = Tyrant(host='127.0.0.1', port=1978) >>> t['i'] = {'name': 'Martin Conte Mac Donell', 'gender': 'M', 'age': 26} >>> t['you'] = {'name': 'Guido', 'gender': 'M', 'age': 33} >>> print t['i'] {'name': 'Martin Conte Mac Donell', 'gender': 'M'}FilterYou can query elements using lazy filters. Every filter is added using "AND" operator, if you want to "OR" some field, you should use Q object (see below). Keys that you can use in queries are: __eq: Equals (default) to expression __lt: Less than expression __le: Less or equal to expression __gt: Greater than expression __ge: Greater or equal to expression Query filter example code >>> res = t.query.filter(gender='M') # Query is not done yet >>> res # Here query is performed [{'i': {'gender': 'M', 'age': '26', 'name': 'Martin Conte Mac Donell'}}, {'you': {'gender': 'M', 'age': '33', 'name': 'Guido'}}]Query example using Q >>> res = t.query.filter(gender='M') # Query is not done yet >>> res = res.filter(Q(age=26) | Q(age=33)) # Query is not done yet >>> print res # Here query is performed [{'i': {'gender': 'M', 'age': '26', 'name': 'Martin Conte Mac Donell'}}, {'you': {'gender': 'M', 'age': '33', 'name': 'Guido'}}]OrderOrdering elements are another great feature. It is used to define result order. Name parameter is the column name, also you can prefix "-" to order desc. If "#" is added just before column name, column are ordered as numbers Examples: order('-name') order('-#ranking') order('name') Order example code # You can order using: >>> res.order('#age') # New query is performed [{'i': {'gender': 'M', 'age': '26', 'name': 'Martin Conte Mac Donell'}}, {'you': {'gender': 'M', 'age': '33', 'name': 'Guido'}}] >>> res.order('-#age') # New query is performed [{'you': {'gender': 'M', 'age': '33', 'name': 'Guido'}}, {'i': {'gender': 'M', 'age': '26', 'name': 'Martin Conte Mac Donell'}}]Limit / OffsetYou can also subscript Query objects to limit or offset your results. Limit example code >>> res[1:2] [{'i': {'gender': 'M', 'age': '26', 'name': 'Martin Conte Mac Donell'}}] [Less]

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Mostly written in language not available

Licenses: apache_2

Tags cabinet python pythonic tokyo tokyocabinet tyrant

EJDB

Analyzed about 5 hours ago

EJDB is an embedded JSON database engine. It aims to be a fast MongoDB-like library which can be embedded into C/C++ applications. Features: * MongoDB-like queries and overall philosophy. * Collection level write locking. * Collection level transactions. * String token matching queries * Node.js binding

22.9K lines of code

6 current contributors

8 days since last commit

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