Database example
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This document provides an overview of batch processing in Mule and demonstrates how to read records from an Oracle database and write them to a file using a Mule batch job. It defines a batch job as processing records asynchronously outside of any Mule flows. The example shows a message flow that uses a batch job to split a message into records, process them through multiple steps, and write the results to a new file. Testing and logging are used to verify the new file was generated correctly from the database records. References are provided for additional documentation on Mule batch processing and the database connector.
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Database example
- 2. AGENDA • Introduction • Definition • Example • Running • Testing • Reference
- 3. Introduction Here I will show you how to read records from Oracle database and write them in file using mule batch job.
- 4. Definition Batch Processing at a Glance A batch job is a top-level element in Mule which exists outside all Mule flows. Batch jobs split large messages into records which Mule processes asynchronously in a batch job; just as flows process messages, batch jobs process records. A batch job contains one or more batch steps which, in turn, contain any number of message processors that act upon records as they move through the batch job. During batch processing, you can use record-level variables (recordVars) and MEL expressions to enrich, route or otherwise act upon records. A batch job executes when triggered by either a batch executor in a Mule flow or a message source in a batch-accepting input; when triggered, Mule creates a new batch job instance. When all records have passed through all batch steps, the batch job instance ends and the batch job result is summarized in a report to indicate which records succeeded and which failed during processing.
- 6. Example XML
- 8. Testing Logs
- 9. RESULT New file got generated. DB FILE
- 11. THANK YOU