Persistent key-value storage for matlab.
Matlab BDB is yet another storage for Matlab. It is a key-value storage for matlab value objects, and suitable for storing a lot of small to medium sized data. The implementation is based on Berkeley DB.
The package contains following files.
+bdb/ API functions.
src/ C++ source files.
test/ Optional functions to check the functionality.
README.md This file.
The prerequisites are:
- libdb
- zlib
Have these libraries installed in the system. For example, in Debian/Ubuntu Linux,
$ apt-get install libdb-dev libz-dev
In macports,
$ port install db53 zlib
The bdb.make function builds necessary dependent files. Check bdb.make for
the detail of compile-time options.
Example: build with the default library:
>> bdb.make;
Example: build with additional path:
>> bdb.make('-I/opt/local/include/db53','-L/opt/local/lib/db53');
Currently following functions are available from matlab. Check help for the
detail of each function.
bdb.open Open a Berkeley DB database.
bdb.close Close the database.
bdb.put Store a key-value pair.
bdb.get Retrieve a value given key.
bdb.delete Delete an entry for a key.
bdb.keys Return a list of keys in the database.
bdb.values Return a list of values in the database.
bdb.stat Get a statistics of the database.
bdb.exist Check if an entry exists.
bdb.compact Free unused blocks and shrink the database.
bdb.sessions Return a list of open session ids.
bdb.env_open Open an environment.
bdb.env_close Close an environment.
bdb.begin Begin a transaction.
bdb.commit Commit a transaction.
bdb.abort Abort a transaction.
bdb.cursor_open Open a new cursor.
bdb.cursor_close Close a cursor.
bdb.cursor_next Move forward a cursor.
bdb.cursor_prev Move back a cursor.
bdb.cursor_get Retrieve a key and a value from a cursor.
Here is a quick usage example.
bdb.open('test.bdb'); % Open a database.
bdb.put('foo', 'bar'); % Store a key-value pair.
bdb.put(2, magic(4)); % Store a key-value pair.
a = bdb.get('foo'); % Retrieve a value.
b = bdb.get(2); % Retrieve a value.
flag = bdb.exist(3); % Check if a key exists.
bdb.delete('a'); % Delete an entry.
keys = bdb.keys(); % All keys at once.
values = bdb.values(); % All values at once.
bdb.close(); % Finish the session.
To open multiple sessions, use the session id returned from bdb.open.
id = bdb.open('test.bdb');
bdb.put(id, 'a', 'bar');
a = bdb.get(id, 'a');
bdb.close(id);
To use a database from conccurrent processes, open a database in an environment. Note that you need to create an environment directory if not existing. This will enable transactional protection.
mkdir('/path/to/test_db_env');
bdb.env_open('/path/to/test_db_env');
bdb.open('test_db.bdb');
bdb.begin();
bdb.put(1, 'foo');
bdb.put(2, 'bar');
bdb.commit();
bdb.close();
bdb.env_close();
Cursor API allows iteration over the table.
cursor = bdb.cursor_open(id);
while bdb.cursor_next(cursor)
[key, value] = bdb.cursor_get(cursor);
end
bdb.cursor_close(cursor);
Some functions accept options in key-value arguments. Logical options may omit
a value to specify true.
bdb.open('test.bdb', 'Create', true, ...
'Truncate', true, ...
'Type', 'hash');
bdb.open('test2.bdb', 'Create', ...
'Truncate', ...
'Type', 'hash');
Data compression is enabled by default to save storage space. It is possible
to disable data compression at compile time with --enable_zlib option.
>> bdb.make('--enable_zlib', false)
Compression leads to smaller storage size with the cost of slower speed. In general, when data contain regular patterns, such as when data are all-zero, compression makes the biggest effect. However, if data are close to random, there is no advantage in the resulting storage size.
The implementation uses undocumented matlab mex functions mxSerialize and
mxDeserialize. The behavior of these functions are not guaranteed to work in
all versions of matlab, and may change in the future matlab release.
The code may be redistributed under AGPL.
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