- Multiple SOA instances were being created for a single database record, one for each DbAdapter deployment on the SOA managed servers, and
- I was updating the Logical Delete Field in a BPEL process, and once the database adapter thread was finished, it too was updating the Logical Delete Field after I updated it.
Multiple Instances
Oracle documentation references capability called Skip Locking used in Distributed Polling. That is to say that the polling SQL will fetch the resultSet into a cursor. Any record that is locked in the fetch will be skipped. Unfortunately, it doesn't lock the record from another database adapter instance polling the same table and updating that record. There is also documentation that indicates an alternative approach using a MarkReservedValue that says, if you use a reserved value, skip locking will not be used.
Well, using a combination of providing a MarkReservedValue and enabling Distributed Polling was the only way I could get the database adapter to stop creating multiple instances for the same record.
Logical Delete Field Updated When Thread Completes
You cannot update the Logical Delete Field inside of a BPEL process and expect that value to be persisted. The last thing that the database adapter thread does before it sleeps is update the value of the Logical Delete Field with whatever you specified as the Read Value in the configuration.
The better solution is to add a new field to the database table and use it as the Logical Delete Field. Then, you can invoke another database adapter to update the value of whatever field you choose, and it will be persisted.
The better solution is to add a new field to the database table and use it as the Logical Delete Field. Then, you can invoke another database adapter to update the value of whatever field you choose, and it will be persisted.
Include maintenance data. Maintenance data records when and by whom a record was last updated. This information is helpful in monitoring the timeliness of the data and establishing accountability for the quality.create dashboard for oracle
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ReplyDeleteThe article highlights an interesting challenge in enterprise service integration where database polling behaves differently in a clustered SOA environment. The issue of multiple instances being created for the same database record shows why distributed polling and record-locking strategies need to be carefully configured. The discussion of Skip Locking, MarkReservedValue, and distributed polling provides a useful practical troubleshooting perspective.
ReplyDeleteThe database-to-service workflow described in the article makes RESTful API Training in Chennai a relevant area, since the database adapter passes selected values to a service endpoint and then processes the returned response. Understanding reliable service communication is especially important when integrating database-driven applications with external or internal services.
The clustered deployment scenario also demonstrates how enterprise applications must account for distributed processing, concurrency, and reliable integration across managed servers. These considerations are relevant to Cloud Computing Projects, where distributed application components may operate simultaneously and require carefully designed coordination and data-processing mechanisms.
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