I\'d like to merge SQLite databases, and some may be in memory. I create the in-memory databases by specifying the database path as :memory:
. Following this post, u
A plain :memory:
string connecting to an in-memory database cannot be shared or attached to from other connections.
You need to use a file:
URI filename connection string with a ?cache=shared
parameter to be able to share the in-memory database between connections; then you can also attach to it:
# first connection
c1 = sqlite3.connect("file::memory:?cache=shared", uri=True)
# second connection, to the *same database*
c2 = sqlite3.connect("file::memory:?cache=shared", uri=True)
# third connection, to a different database altogether
c3 = sqlite3.connect('/tmp/sqlite3.db', uri=True)
# can attach to the shared in-memory database, but only if you used
# uri=True on the original connection
c3.execute("ATTACH DATABASE 'file::memory:?cache=shared' AS inmem")
See the In-Memory Databases documentation.
Note that there can only be one such shared in-memory database; all other in-memory databases must remain private to their connection. Use databases with an actual filesystem storage if you need more complex setups; these are easy enough to clean up afterwards anyway if you create these in a tempfile.mkdtemp() temporary directory each.
Demo:
>>> import sqlite3
>>> c1 = sqlite3.connect("file::memory:?cache=shared", uri=True)
>>> c1.execute('CREATE TABLE foo (bar, baz)')
<sqlite3.Cursor object at 0x106839490>
>>> c1.execute("INSERT INTO foo VALUES ('spam', 'ham')")
<sqlite3.Cursor object at 0x106839500>
>>> c1.commit()
>>> c2 = sqlite3.connect("file::memory:?cache=shared", uri=True)
>>> list(c2.execute('SELECT * FROM foo'))
[(u'spam', u'ham')]
>>> c3 = sqlite3.connect('/tmp/sqlite3.db', uri=True)
>>> c3.execute("ATTACH DATABASE 'file::memory:?cache=shared' AS inmem")
<sqlite3.Cursor object at 0x1068395e0>
>>> list(c3.execute('SELECT * FROM inmem.foo'))
[(u'spam', u'ham')]
Support for in-memory shared-cache connections was added to SQLite version 3.7.13; for Python you can check the version of the underlying library with sqlite3.sqlite_version
(string) or sqlite3.sqlite_version_info
(tuple with integers):
>>> sqlite3.sqlite_version_info
(3, 8, 10, 2)