error or errorifexists (default case): Throw an exception if the table already exists.ignore: Silently ignore this operation if table already exists.For this scenario, new tables will be created unless truncate option is used. For this scenario, data will be appended into existing database table. append: Append contents of this DataFrame to existing data.It s pecifies the behavior of the save operation when data already exists. Write mode can be used to control write behavior. Refer to References section on this page for more details. ![]() For example, you can customize the schema or specify addtional options when creating CREATE TABLE statements. There are many options you can specify with this API. We can easily use ('jdbc') to write into any JDBC compatible databases. However you can definitely extend it to other databases, for example MySQL, Oracle, Teradata, DB2, etc. ![]() In the following sections, I'm going to show you how to write dataframe into SQL Server. ![]() We can also use JDBC to write data from Spark dataframe to database tables. In my previous article about Connect to SQL Server in Spark (PySpark), I mentioned the ways to read data from SQL Server databases as dataframe using JDBC.
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