Then create a new virtual environment: cd db-to-sqlite To set up this tool locally, first checkout the code. csvs-to-sqlite: Convert CSV files into a SQLite database.sqlite-utils: Python CLI utility and library for manipulating SQLite databases.Works great with SQLite files generated using db-to-sqlite. Datasette: A tool for exploring and publishing data. You can even do this using a bash one-liner: $ db-to-sqlite $(heroku config -app myappname | grep HEROKU_POSTG | cut -d: -f 2-) \ HEROKU_POSTGRESQL_OLIVE_URL: can pass this to db-to-sqlite to create a local SQLite database with the data from your Heroku instance. If you run an application on Heroku using their Postgres database product, you can use the heroku config command to access a compatible connection string: $ heroku config -app myappname | grep HEROKU_POSTG Mssql+pyodbc:///?odbc_connect=DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+UID%3Dusername%3B+PWD%3Dpasswd You can then use the string above in the odbc_connect below mssql+pyodbc:///?odbc_connect=DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+Trusted_Connection%3Dyes The above will resolve to DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+Trusted_Connection%3Dyes The best way to get the connection string needed for the MS SQL connections below is to use urllib from the Standard Library as below params = _plus( If the tables you want to copy from your PostgreSQL database aren't in the default schema, you can specify an alternate one with the -postgres-schema option: db-to-sqlite "postgresql://localhost/myblog" blog.db \ Using db-to-sqlite with PostgreSQL schemas The -output option specifies the table that should contain the results of the query. sql="select id, title, created from blog_entry" \ If you want to save the results of a custom SQL query, do this: db-to-sqlite "postgresql://localhost/myblog" output.db \ When running -all you can specify tables to skip using -skip: db-to-sqlite "postgresql://localhost/myblog" blog.db \ For example: db-to-sqlite "postgresql://localhost/myblog" blog.db \ Any foreign key relationships will be detected and added to the SQLite database. You can also save the data from all of your tables, effectively creating a SQLite copy of your entire database. postgres-schema TEXT PostgreSQL schema to useįor example, to save the content of the blog_entry table from a PostgreSQL database to a local file called blog.db you could do this: db-to-sqlite "postgresql://localhost/myblog" blog.db \ index-fks / -no-index-fks Should foreign keys have indexes? Default on pk TEXT Optional column to use as a primary key output TEXT Table in which to save -sql query results skip TEXT When using -all skip these tables tmp/my_database.dbĬONNECTION is a SQLAlchemy connection string, for PATH is a path to the SQLite file to create, e.c. Usage Usage: db-to-sqlite CONNECTION PATH Installing the mysqlclient library on OS X can be tricky - I've found this recipe to work (run that before installing db-to-sqlite).įor PostgreSQL, use this: pip install 'db-to-sqlite' If you want to use it with MySQL, you can install the extra dependency like this: pip install 'db-to-sqlite' Install from PyPI like so: pip install db-to-sqlite Perhaps you might find this useful.CLI tool for exporting tables or queries from any SQL database to a SQLite file. Now I’m free to continue to work in memory until such times as I wish to deploy the model again to a persistent database using the more familiar call. This approach allows me to avoid editing package.json manually or remembering to explicitly run from memory. > successfully deployed to sqlite in-memory db Running this command provides the following output. I’ve found that cds deploy to the special database :memory: deploys to sqlite in memory and updates the package.json accordingly. Now we have a persistent database and the package.json is updated accordingly.įrom time to time, however, I change my mind and I want to update the initial data and revert to working from memory. The deployment outputs the following information, indicating the database is filled with the initial data in the csv files locates by convention at db/data. The example below deploys models to the sqlite database myWorkOrder in the directory db cds deploy -to sqlite:db/myWorkOrder Cds deploy deploys a given model to a database.
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