![]() ![]() Line 41: We need to close the database connection, so we use the close() method. We must pass in the keys as well as the values so that the data will be displayed properly. Line 26: Now we'll fetch all the data we have stored in the database and return it in a JSON format using the json_group_array() and the json_object() methods. Line 23: We must commit the changes to save them in the database using the commit() method. Line 15: We add some values to the table with the INSERT keyword. Line 12: We execute the query to create a table called Biodata with fields id, name, age, and sex. Line 8: We create a cursor object used to traverse and manipulate the result of a database query. Line 5: We connect to the database with the name mydemo.db using the connect() method. insert_all (, pk = "id" )Ĭheck out the full library documentation for everything else you can do with the Python library.Line 2: We also import the sqlite3 module which provides a powerful and easy-to-use interface for working with SQLite databases in Python. Database ( "demo_database.db" ) # This line creates a "dogs" table if one does not already exist: db. You can also import sqlite_utils and use it as a Python library like this: import sqlite_utils db = sqlite_utils. We can also insert multiple key/value pairs if. We pass the original JSON as the first argument when we call the function, followed by a path that specifies where to insert the new value, followed by the value to insert. See the full CLI documentation for comprehensive coverage of many more commands. The SQLite jsoninsert () function allows us to insert a new value into a JSON document. Sqlite-utils memory lets you import CSV or JSON data into an in-memory database and run SQL queries against it in a single command: $ cat dogs.csv | sqlite-utils memory - "select name, age from stdin" Or for data in a CSV file: $ sqlite-utils insert dogs.db dogs dogs.csv -csv | sqlite-utils insert releases.db releases -pk id You can import JSON data into a new database table like this: $ curl \ $ sqlite-utils dogs.db "select * from dogs" -table $ sqlite-utils dogs.db "select * from dogs" -csv ![]() ![]() $ sqlite-utils dogs.db "select id, name from dogs" $ sqlite-utils insert dogs.db dogs dogs.csv -csv Now you can do things with the CLI utility like this: $ sqlite-utils memory dogs.csv "select * from t" Or if you use Homebrew for macOS: brew install sqlite-utils Read more on my blog, in this series of posts on New features in sqlite-utils and other entries tagged sqliteutils.
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