A result set filter is a custom java class an experienced developer writes in order to specifically manipulate the rows or columns of data returned from a read operation for an MBO. To write a filter, developers must have previous experience with Java programming — particularly with the reference implementations for javax.sql.RowSet, which is used to implement the filter interface.
%SUP_HOME%\Servers\UnwiredServer\tomcat\webapps\onepage\docs\javadoc\index.html
or
http://<host>:port/onepage/docs/javadoc/index.html
When a read operation returns data that does not completely suit the business requirements for your MBO, you can write and add a filter to the MBO to customize the data into the form you need. A filter can be written to add, delete, or change columns as well as to add and delete rows.
You can chain multiple filters together. Multiple filters are processed in the order they are added, each applying an incremental change to the data. Consequently, Sybase recommends that you always preview the results. After you preview the MBO, notice that the MBO has a different set of attributes than it would have had directly from the read operation. You can map and use the altered attributes in the same way you would a regular attribute from an unfiltered read operation.
Suppose you have an MBO based on the following query:
SELECT * FROM sampledb.customer
However, you do not want to have "fname" and "lname" displayed in separate columns. To avoid separation, write a filter that replaces these columns with a single concatenated "commonName" column.
Suppose you have customer data in two data sources: basic customer information is in an SAP repository, and more complete details are contained in another database on your network. You can use a result set filter to combine the SAP customer data with additional database customer data, so that the MBO displays a complete set of information in a single view. In this case, you would use a JDBC connection to each data source, and perhaps use a JoinRowSetImpl to merge the columns together, thereby joining the two sets of data against the customerID column in the SAP source.