You can verify the result by selecting data from a SQLite table using Python. Sqlitedb_developers table after updating multiple rows from Python Print("Failed to update multiple records of sqlite table", error) Print("Total", cursor.rowcount, "Records updated successfully") Sqlite_update_query = """Update SqliteDb_developers set salary = ? where id = ?"""Ĭursor.executemany(sqlite_update_query, recordList) In this example, we are updating three rows. The executemany(query, seq_param) method accepts the following two parameters Instead of executing the UPDATE query every time to update each record, you can perform bulk update operations in a single query using the cursor.executemany() method. For example, you want to increase the salary of developers by 20%.
But sometimes, we need to update multiple rows of the SQLite table. In the above example, we have used execute() method of cursor object to update a single record. Update multiple rows of SQLite table using cursor’s executemany() Note: If you have a date column in the SQLite table, and you want to update the Python DateTime variable into a column, then please refer to working with SQLite data time values in Python. Remember variables order in the tuple is sequential as per column placeholders order. Next, we passed the SQL update query and data tuple to the cursor.execute() method.Next, We prepared a data tuple by specifying two Python variables in sequential order.We used two placeholders in the update query, one for the salary column and the other is for the id column.
Sqlitedb_developers table after updating Python variable using a parameterized query Sql_update_query = """Update SqliteDb_developers set salary = ? where id = ?""" It helps us to update runtime values and prevent SQL injection concerns. The parameterized query uses placeholders ( ?) inside SQL statements that contain input from users. In such cases, It is always best practice to use a parameterized query. For example, when users update their profile or any other details through a user interface, we need to update a table with those new values. Most of the time, we need to update a table with some runtime values.
Using Python variables in SQLite UPDATE query Use the rollback() method of a connection class. Note: Note: If you are doing multiple update operations and wanted to revert your change in case of failure of any operations, use the rollback() method of a connection class to revert the changes.
Sqlitedb_developers table after updating the row from Python Print("Failed to update sqlite table", error) Sql_update_query = """Update SqliteDb_developers set salary = 10000 where id = 4""" SqliteConnection = nnect('SQLite_Python.db') Use cursor.clsoe() and connection.clsoe() method to close SQLite connections once the update operation completes. Close the cursor object and database connection object.Verify result using the SQL SELECT queryĮxecute a SQLite select query from Python to see the new changes.The count depends on how many rows you are updating. This method executes the operation stored in the UPDATE query.Īfter the successful execution of the SQLite update query, Don’t forget to commit your changes to the database using it().Īfter a successful update operation, use a cursor.rowcount method to get the number of rows affected. Execute the UPDATE query, using cursor.execute().For example, UPDATE table_name SET column1 = value1, column2 = value2., columnN = valueN WHERE Mention the column name we want to update and its new value. Prepare an update statement query with data to update. Refer to Python SQLite database connection to connect to SQLite database from Python using sqlite3 module.