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from docarray.array.document import DocumentArray

from docarray.array.storage.sqlite import StorageMixins, SqliteConfig

__all__ = ['SqliteConfig', 'DocumentArraySqlite']

class DocumentArraySqlite(StorageMixins, DocumentArray):

"""

DocumentArray that stores Documents in a `SQLite database <https://www.sqlite.org/index.html>`_.

This stores Documents on disk instead of keeping them in memory, and offers the simplest way of persisting data with DocArray.

With this implementation, :meth:`match` and :meth:`find` perform exact (exhaustive) vector search.

Example usage:

.. code-block:: python

from docarray import DocumentArray

# with default config

da = DocumentArray(storage='sqlite')

# with customized config

da1 = DocumentArray(storage='sqlite', config={'connection': 'example.db'})

# connect to a previously created database

da = DocumentArray(

storage='sqlite', config={'connection': 'example.db', 'table_name': 'mine'}

)

.. seealso::

For further details, see our :ref:`user guide <sqlite>`.

"""

def __new__(cls, *args, **kwargs):

return super().__new__(cls)