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This type of data source can be created by implementing the interface "org. Custom query based data sources are used when simply the data source cannot be represented using a set of data tables and when it is not suitable for SQL to be used as the query language. So using this type of a data source, you can create your own query format and retrieve data from any type of a data set.

Also, if there is a data source type that has their own query format, this can be used to directly map to that. The interface "org. CustomQueryBasedDS" is required to implement this type of data sources. Skip to content. This repository has been archived by the owner.

It is now read-only. We save the Data Service and go to the try it functionality. We use the FuncOps operation to retrieve the information from the database. Since we know how to connect to the Oracle environment it is a piece of cake.

For more information look at this blog for the general explanation but use the specific oracle settings of course. Oracle, in a sense, is just like the other databases supported by WSO2. To jog your memory, by default WSO2 uses the integrated H2 database for storage of, for instance, user and registry data. If you have any questions about this blogpost contact us via the comments section of this blog. View also our WSO2 Tutorials, webinars or white papers for more technical information. Need support?

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Published January 11th, Categories WSO2 Products. Tags WSO2 Products. Care to share Care to share. Oracle Database In order to test this, we should set up an Oracle environment. Stored procedure In this blog, we will use a Stored Procedure that we create on Oracle.

These is of course simple example but it shows how it works. So the procedure works. Step one Create Data Service Fill in a name and namespace and click next.

We need to add a data source, all the connection details to the Oracle environment. Adding a new query Next we are going to add the procedure query. Add operations We need to add operations to invoke the queries we just created. We click finish to save what we just created. Try It But now we need to try it to see if it works. First the visual check: As you can see Mickey Mouse came in second place. Data transformation and validation. High performance, high availability, scalability and stability.

Horizontal scaling through clustering with stateless server architecture and long-term execution stability with low resource utilization. Lightweight, developer friendly and easy to implement. Allows flexible mapping of query responses to custom XML data formats, as well as easy to debug services with message tracking tools and interactive tests with TryIt capabilities. Automatic generation of WSDLs for services, as well as server customization by provisioning functions from any WSO2 middleware capability.

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