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A very fast in-memory database with export to sqlite written purely in python

Project description

pymemdb

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will soon be available with

pip install pymemdb

Description

Very simple RDMBS that is supposed to serve as a drop-in replacement for a conventional DB during build-up. It is very fast, completely written in python und relies heavily on dictionaries. It features a to_sqlite export method - more DBs will follow.

Usage

Insert into a table

from pymemdb import Table

table = Table()
row1 = dict(firstname="John", lastname="Smith")
row2 = dict(firstname="Jane", lastname="Smith")
row3 = dict(firstname="John", lastname="Doe")

for row in [row1, row2, row3]:
    table.insert(row)

iterate over the entire table

print(list(table.all()))

[{'id': 0, 'firstname': 'John', 'lastname': 'Smith'},
 {'id': 1, 'firstname': 'Jane', 'lastname': 'Smith'},
 {'id': 2, 'firstname': 'John', 'lastname': 'Doe'}]

update rows

table.update(where={"firstname": "Jane"}, firstname="Joanne")
print(list(table.all()))

[{'id': 0, 'firstname': 'John', 'lastname': 'Smith'},
 {'id': 1, 'firstname': 'Joanne', 'lastname': 'Smith'},
 {'id': 2, 'firstname': 'John', 'lastname': 'Doe'}]

search for rows

print(list(table.find(firstname="John")))

[{'id': 0, 'firstname': 'John', 'lastname': 'Smith'},
{'id': 2, 'firstname': 'John', 'lastname': 'Doe'}]

search for values in iterable

print(list(table.find(firstname=["John", "Joanne"])))

[{'id': 0, 'firstname': 'John', 'lastname': 'Smith'},
{'id': 1, 'firstname': 'Joanne', 'lastname': 'Smith'},
{'id': 2, 'firstname': 'John', 'lastname': 'Doe'}]

delete rows

table.delete(firstname="John", lastname="Smith")
print(list(table.all()))

[{'id': 1, 'firstname': 'Joanne', 'lastname': 'Smith'},
 {'id': 2, 'firstname': 'John', 'lastname': 'Doe'}]

Project details


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Files for pymemdb, version 1.0.2
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