Full disclosure, I am a mysql dev, not a python dev. Using MySQL Connector/Python, the Unread results found might happen when you use the connection object in different places without reading the result. However when you use a buffered cursor the connector fetches ALL rows behind the scenes and you just take one from the connector so the mysql db won't complain. Hope it helps. See Section 7.1, “Connector/Python Connection Arguments”. ssl_cert To iterate through the selected employees, we use buffered cursors. If you want all the cursors for a particular connection to be buffered, you can turn it on when connecting to MySQL setting the buffered-argument to True. (A buffered cursor fetches and buffers the rows of a result set after executing a query; see Section 10.6.1, “cursor.MySQLCursorBuffered Class”.) See the Python Manual Page MySQLConnection.cursor() Method and cursor.MySQLCursorBuffered Class. All rows are read immediately, true. MySQL Connector/Python is, by default, non-buffering. consume_results: False: Whether to automatically read result sets. Fantasic for small to mid-sized resultsets. MySQL client flags. / MySQL Connector/Python Developer Guide / Connector/Python Tutorials / Tutorial: Raise Employee's Salary Using a Buffered Cursor 6.6.1 Tutorial: Raise Employee's Salary Using a Buffered Cursor The following example script gives a long-overdue 15% raise effective tomorrow to all employees who joined in the year 2000 and are still with the company. When you will use the same cursor again, it will complain that you still have n-1 results (where n is the result set amount) waiting to be fetched. For information about the implications of buffering, see Section 10.6.1, “cursor.MySQLCursorBuffered Class”. (It works with MySQLdb because that driver is buffering by default.) raw: False: Whether MySQL results are returned as is, rather than converted to Python types. Python MySQL cursor fails to fetch rows. This means the data is not fetched automatically and you need to 'consume' all rows. Instead, the cursor can be used as an iterator. This way, it is unnecessary to fetch the rows in a new variables. The MySQLCursor of mysql-connector-python (and similar libraries) is used to execute statements to communicate with the MySQL database. If I run with buffered cursor, I can see that _rows property of cursor contains my data, but fetchall() returns empty array. Set buffering per connection. Either per connection or per cursor using the buffered argument set to True. my_cursor = my_connect.cursor(buffered=True) This type cursor fetches rows and buffers them after getting output from MySQL database. python mysql mysql-python. Using the methods of it you can execute SQL statements, fetch data from the result sets, call procedures. It's not something one can go around. share | improve this question | follow | edited Apr 27 '17 at 18:24. You can use the buffered option to read result immediately.. As mentioned in the comments, it's best to split the statements and execute them separately. Ask Question Asked 3 years, 8 months ago. ssl_ca: File containing the SSL certificate authority. We have used my_cursor as buffered cursor. We can use such cursor as iterator. Using Connector/Python you have to use the buffered-argument set to True for cursor … cursor = conn.cursor(buffered=True,dictionary=true) in order to abandon a resultset mid-stream. If raw is True, the cursor skips the conversion from MySQL data types to Python types when fetching rows. buffered: False: Whether cursor objects fetch the results immediately after executing queries. MySQL Connector/Python offers two ways to turn buffering on or off. Connector/Python, the cursor skips the conversion from MySQL database the implications of buffering, see 10.6.1... Buffered argument set to True for cursor … We have used my_cursor buffered... 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