- 1 year ago
using sqlite to populate many tables, with dynamically generated names, within a specific schema
To populate multiple tables with dynamically generated names within a specific schema using SQLite, you can follow these steps:
- Connect to the SQLite database:
pythonimport sqlite3
conn = sqlite3.connect('your_database.db')
cursor = conn.cursor()
Create a schema:
SQLite doesn't have built-in support for schemas like other databases, but you can simulate it by prefixing table names with the schema name. For example, if your schema name is "my_schema," you can prefix your table names like "my_schema.table1", "my_schema.table2", etc.Generate table names dynamically:
You can generate table names dynamically based on your requirements. For demonstration purposes, let's assume you have a list of table names stored in thetable_names
variable.Create tables:
Loop through the table names and execute the CREATE TABLE statement for each table:
pythonfor table_name in table_names:
full_table_name = 'my_schema.' + table_name
create_table_query = f"CREATE TABLE IF NOT EXISTS {full_table_name} (id INTEGER PRIMARY KEY, name TEXT)"
cursor.execute(create_table_query)
- Insert data into tables:
Once the tables are created, you can populate them with data. Assuming you have data in a list of tuples calleddata
:
pythonfor table_name in table_names:
full_table_name = 'my_schema.' + table_name
insert_query = f"INSERT INTO {full_table_name} (name) VALUES (?)"
table_data = [(name,) for name in data] # Assuming 'name' is the column to populate
cursor.executemany(insert_query, table_data)
- Commit the changes and close the connection:
pythonconn.commit()
conn.close()
Make sure to adapt the code according to your specific needs, such as modifying the table schemas, column names, and data to be inserted into the tables.