If we need to insert 100 records in to db using batch processing, until 10 records failed it needs to be inserted after that it should stop execution. How can we achieve this? in MuleSoft 145

 If we need to insert 100 records in to db using batch processing, until 10 records failed it needs to be inserted after that it should stop execution. How can we achieve this? in MuleSoft

Here's how you can achieve batch processing for database inserts in MuleSoft 4, stopping after 10 failures:

Components:

• Batch Job: This component manages asynchronous and reliable processing of large datasets.

• Batch Step: This component defines a specific step within the batch job, in this case, the database insert operation.

• Database Connector: This component interacts with your database to execute insert statements.

Flow:

1. Prepare Data: Prepare the list of 100 records you want to insert into the database.

2. Batch Job: Configure a Batch Job with the following properties:

• Name: A descriptive name for your batch job.

• Source: Specify the collection containing the 100 records for insertion.

3. Batch Step:

• Name: Name for this batch step (e.g., "Database Insert").

• Type: Set the type to "mule:db".

• Query: Define the SQL INSERT statement to insert data into your table.

• Exception Handling:

• Strategy: Choose "retry" with a maximum retry count of 0 (meaning no retries on individual insert failures).

• Continue on Error: Set to "false" to stop processing after encountering 10 failures.

Error Handling:

• The maxFailedRecords attribute of the Batch Job is not directly applicable here as it controls the overall job failure threshold.

• We achieve the 10 failure limit by setting the continueOnError property to false within the Batch Step's exception handling configuration.

• This ensures that upon encountering the 10th failure during database inserts, the entire Batch Job execution stops.

Here's an example Mule flow configuration:

XML

<flow name="batch-insert-flow">

  <batch:job name="DatabaseInsertJob">
    <batch:source>
      <dw:split type="tokenize" by="," doc:name="Split Records">
        #[payload]  </dw:split>
    </batch:source>

    <batch:step name="InsertData" type="mule:db">
      <db:config-ref ref="yourDbConfig" />
      <db:sql>INSERT INTO your_table (column1, column2) VALUES (?, ?);</db:sql>
      <exception-strategy>
        <retry count="0" />
        <continueOnError expression="#[vars.failureCount >= 10]" doc:name="Stop on 10th Failure" />
      </exception-strategy>
    </batch:step>

  </batch:job>

  </flow>

Explanation:

• This flow defines a Batch Job named "DatabaseInsertJob".

• The source for the Batch Job uses DataWeave to split the payload (assuming a comma-separated list) into individual records.

• The Batch Step named "InsertData" specifies the database configuration, SQL INSERT statement, and exception handling logic.

• The retry count is set to 0 to avoid retries on individual insert failures.

• The continueOnError expression checks if the failureCount variable (assumed to be incremented within the exception handling logic) reaches 10. If so, it stops further processing.

Additional Considerations:

• Implement proper error handling within the Batch Step to capture specific database errors and potentially log them for further investigation.

• Consider using a dedicated error handling strategy like mule:checkpoint to track successful and failed inserts, allowing for potential retries in future executions.

By following this approach, you can achieve reliable batch processing for database inserts in MuleSoft 4, stopping the execution after encountering 10 failures within the designated Batch Step.