Sqlalchemy create database file

Viewed 28k times. Improve this question. Add a comment. Active Oldest Votes. Open the. Improve this answer. Nice and it would be nice to use with open '','' and use the SQLAlchemy class in the session area.

This is how it worked for and the former help to clean up after file read access You can do it with SQLalchemy and psycopg2. AlexQueue AlexQueue 5, 5 5 gold badges 27 27 silver badges 41 41 bronze badges. This will not work with all dialects. SQLite e. I believe this will have problems with DDL.

Alchemy detects DDL and creates an implicit transaction that is left open. This is the problem I'm having, because all my scripts break via alchemy if DDL is present. Using sqlalchemy. Erfan Erfan Ants Aasma Ants Aasma CarlS CarlS 5 5 silver badges 9 9 bronze badges. David David Lukas Hebing Lukas Hebing 11 1 1 bronze badge. Salaz Numpt Salaz Numpt 11 1 1 bronze badge. Once established, the newly resulting Engine will request a connection from the underlying Pool once Engine.

Working with Engines and Connections. Deprecated since version 1. Applications should work with result column names in a case sensitive fashion. This has the effect of causing all String -based columns to accommodate Python Unicode objects directly as though the datatype were the Unicode type.

This creation function will be passed to the underlying connection pool and will be used to create all new database connections. Usage of this function causes connection parameters specified in the URL argument to be bypassed.

This hook is not as flexible as the newer DialectEvents. If set to the string "debug" , result rows will be printed to the standard output as well. The echo attribute of Engine can be modified at any time to turn logging on and off; direct control of logging is also available using the standard Python logging module.

Configuring Logging - further detail on how to configure logging. If set to the string "debug" , the logging will include pool checkouts and checkins. Direct control of logging is also available using the standard Python logging module. Please refer to individual dialect documentation for client encoding behaviors. Defaults to the string value utf Under Python 3 it is not used by any modern dialect. For DBAPIs that require client encoding configurations, which are most of those outside of SQLite, please consult specific dialect documentation for details.

Under Python 2, this was not always the case. To properly configure a system to accommodate Python unicode objects, the DBAPI should be configured to handle unicode to the greatest degree as is appropriate - see the notes on unicode pertaining to the specific target database in use at Dialects. Areas where string encoding may need to be accommodated outside of the DBAPI, nearly always under Python 2 only , include zero or more of:.

See Connection. Migrating to SQLAlchemy 2. Behavior here varies per backend, and individual dialects should be consulted directly. Note that the isolation level can also be set on a per- Connection basis as well, using the Connection. SQLite Transaction Isolation. By default, the Python json. Changed in version 1. If None , the value of dialect.

This parameter causes the import to be bypassed, and the given module to be used instead. When this attribute is passed, it should be one of the values "qmark" , "numeric" , "named" , "format" or "pyformat" , and should correspond to a parameter style known to be supported by the DBAPI in use. If non-None, this pool will be used directly as the underlying connection pool for the engine, bypassing whatever connection parameters are present in the URL argument.

For information on constructing connection pools manually, see Connection Pooling. Disconnect Handling - Pessimistic. It defaults to -1, or no timeout. For example, setting to means connections will be recycled after one hour.

Note that MySQL in particular will disconnect automatically if no activity is detected on a connection for eight hours although this is configurable with the MySQLDB connection itself and the server configuration as well. Setting Pool Recycle. This is only used with QueuePool. This can be a float but is subject to the limitations of Python time functions which may not be reliable in the tens of milliseconds.

Using LIFO, a server-side timeout scheme can reduce the number of connections used during non- peak periods of use. When planning for server-side timeouts, ensure that a recycle or pre-ping strategy is in use to gracefully handle stale connections.

Using FIFO vs. Dealing with Disconnects. See CreateEnginePlugin for background. Set to zero to disable caching. Defaults to , meaning the cache will always store at least SQL statements when filled, and will grow up to items at which point it is pruned back down to by removing the least recently used items. All statements support caching, however some features such as an INSERT with a large set of parameters will intentionally bypass the cache.

SQL logging will indicate statistics for each statement whether or not it were pull from the cache. SQL Compilation Caching. The only required key is assuming the default prefix sqlalchemy. Keyword arguments should not be prefixed. This is a utility function used for debugging or storing the output of DDL sequences as generated by MetaData. New in version 1. The given string is parsed according to the RFC spec.

If an existing URL object is passed, just returns the object. Liking SQLAlchemy so far? As for your foreign key inquiry, of course. SQLAlchemy has the power to do this too. Here's an example of how a class attribute would look like with a foreign key assignment assuming the ForeignKey class has also been imported from the sqlalchemy module :. You should use a bulk loading mechanisms, which differ from base to base. I have had the exact same problem, and I found it paradoxically easier to use a 2-step process with pandas:.

Note that my approach is similar to this one , but somehow Google sent me to this thread instead, so I thought I would share. To import a relatively small CSV file into database using sqlalchemy, you can use engine.

This is sometimes referred to as "executemany" style of invocation , because it results in an executemany DBAPI call. How are we doing? Please help us improve Stack Overflow. Take our short survey. Stack Overflow for Teams — Collaborate and share knowledge with a private group.

Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Asked 6 years, 6 months ago. Active 2 months ago. Viewed 63k times. I would like to load csv files into a database. Improve this question. Community Bot 1 1 1 silver badge. Add a comment. Active Oldest Votes. Hope that helps! Improve this answer.