Batch Processing
This Python connector also supports writing to the data source via batch processing, using the cursor object's executemany() method. This requires both a SQL statement string and a data frame of values that act as a series of parameters for executing the SQL statement.
Note that the connector does not support transactions. As with normal write operations, all SQL statements executed by this connector affect the data source immediately. Call the connection's commit() method following the execution.
Insert
The following example adds new records to the table:cur = conn.cursor() cmd = "INSERT INTO Spreadsheet1_Sheet1 (Id, Column1) VALUES (?, ?)" params = [["Jon Doe", "John"], ["Jon Doe", "John"]] cur.executemany(cmd, params) print("Records affected: ", cur.rowcount)
Update
The following example modifies existing records in the table:cur = conn.cursor() cmd = "UPDATE Spreadsheet1_Sheet1 SET Column1 = ? WHERE Id = ?" params = [["John", "6"], ["John", "6"]] cur.executemany(cmd, params) print("Records affected: ", cur.rowcount)
Delete
The following example removes existing records from the table:cur = conn.cursor() cmd = "DELETE FROM Spreadsheet1_Sheet1 WHERE Id = ?" params = [["6"], ["6"]] cur.executemany(cmd, params) print("Records affected: ", cur.rowcount)