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 [publicdata].[samples].github_nested (actor.attributes.email, repository.name) VALUES (?, ?)"
params = [["EntityFramework", "CoreCLR"], ["EntityFramework", "CoreCLR"]]
cur.executemany(cmd, params)
print("Records affected: ", cur.rowcount)

Update

The following example modifies existing records in the table:

cur = conn.cursor()
cmd = "UPDATE [publicdata].[samples].github_nested SET repository.name = ? WHERE Id = ?"
params = [["CoreCLR", "1"], ["CoreCLR", "1"]]
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 [publicdata].[samples].github_nested WHERE Id = ?"
params = [["1"], ["1"]]
cur.executemany(cmd, params)
print("Records affected: ", cur.rowcount)