How to Create a Primary Key in a MySQL Table After Using Pandas `to_sql`?

Creating a Primary Key in MySQL Table Using Pandas to_sql

When using Pandas' to_sql function to create a MySQL table, it's essential to include a primary key to ensure uniqueness and efficient query processing.

The default index parameter in to_sql allows you to specify a column to index, but there is no direct option for creating a primary key. To achieve this, you can use the following workaround:

1. Upload the table using to_sql with the index=False parameter:

   group_export.to_sql(con=db, name=config.table_group_export, if_exists='replace', flavor='mysql', index=False)

2. Establish a connection to the MySQL database:

   with engine.connect() as con:

3. Execute an SQL statement to add the primary key to the desired column, replacing "ID_column" with the actual column name:

   con.execute('ALTER TABLE `example_table` ADD PRIMARY KEY (`ID_column`);')

This approach allows you to create a primary key in a MySQL table after it has been created using Pandas' to_sql function.

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