Please refer to individual DBAPI sections for connect information.

DBAPI Support The following dialect/DBAPI options are available. The following table summarizes current support levels for database release versions. Note that it's a 15-second read from in memory, on 1.35 million rows (python 2.7). Python, SQLite, and SQLAlchemy give your programs database functionality, allowing you to store data in a single file without the need for a database server. We’ll create a connection to a SQLite database, add a table to that database, insert data into that table, and read and modify data in that table. current release Home SQLite Support for the SQLite database. Read from the memory db in another thread / script: #sql_read.pyĭf = pd.read_sql_query('select * from ticks', conn) Step 1: Import SQLite3 into Python So that you have access to the functions that are specific to SQLite3 in Python you will need to import the corresponding module first: python Step 2: Create the database The next step is to create your own database by using the SQLite function connect (). I created a dataframe and dumped it into a memory db with a shared cache: #sql_write.pyĬonn = nnect('file:cachedb?mode=memory&cache=shared')ġ3582616 23:59:56.990000 1.11252 1.11256ġ3582617 23:59:58.195000 1.11251 1.11255ĭf.to_sql('ticks', conn, if_exists='replace') The PySQLite provides a standardized Python DBI API 2.0 compliant interface to the SQLite database.

Create sqlite db python