Mule database connector
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The Database connector allows connecting to relational databases using JDBC and performing SQL operations like select, insert, update, delete, and stored procedures. It supports predefined and dynamic queries, templates, and bulk updates. DataSense uses query metadata to extract message data types for mapping. The DataMapper transformer can automatically map fields when used with a DataSense-enabled Database connector. Supported operations include select, insert, update, delete, stored procedures, bulk execute, and DDL. Configuration requires a Database connector, global connector, and installed driver.
Mule database connector
- 2. 2 Database Connector The Database connector allows you to connect with almost any Java Database Connectivity (JDBC) relational database using a single interface for every case. The Database connector allows you to run diverse SQL operations on your database, including Select, Insert, Update, Delete, and even Stored Procedures.
- 3. 3 The Database connector lets you perform predefined queries as well as queries that take the connector’s input to specify variable parameters or even to construct sections of the query dynamically. The Database connector also allows the use of template queries that are both self sufficient and customizable. You can also perform multiple SQL requests in a single bulk update. The connector also allows you to perform Data Definition Language (DDL) requests, that alter the data structure rather than the data itself. The Database connector is available with both Mule Community and Mule Enterprise runtimes.
- 4. 4 DataSense When enabled, DataSense uses information in the query statement (configured within the Database connector) to automatically extract metadata about the message your application must deliver to, or can expect from, the database. By enabling this functionality (in the Global Database connector element), Mule does the heavy lifting of discovering the type of data you must send to, or be prepared to receive from the database.
- 5. 5 DataMapper transformer When used in conjunction with a DataSense-enabled Database connector, DataMapper can automatically extract message metadata that you can use to visually map and/or transform to a different data format or structure. For example, if you configure a Database connector in your application, then drop a DataMapper after it, the DataMapper uses the information that DataSense extracted to pre-populate the input values for mapping, so that you only need to confirm (or adjust) the selections, then proceed to mapping to your desired output. In other words, DataSense makes sure that DataMapper knows the data format and structure with which it must work so you don’t have to figure it out manually.
- 6. 6 Supported Operations The database connector supports the following operations: Select Insert Update Delete Stored Procedure Bulk Execute DDL operations such as CREATE, ALTER, etc. Additionally, you can run a TRUNCATE query on the database by selecting Update as the operation.
- 7. 7 Configuring a Database Connector The example below illustrates a very simple Mule application in Studio that meets the minimum configuration requirements: configured Database connector, configured Global Database connector, and installed database driver. Of course, the only one of these three required parts that is visible in the graphical representation of the application is the Database connector itself.
- 8. 8 Configuring a Database Connector