Salesforce Bulk API: Monitoring & Debugging of the Job

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The Salesforce Bulk API provides a robust solution for managing sizable data volumes within your Salesforce instance. Its capabilities facilitate the efficient loading and deletion of large datasets. To refresh your memory on fundamental Bulk API concepts, I encourage you to revisit my prior articles on Bulk API:

Bulk API operations run in the background, making it crucial to monitor their progress and status to ensure successful completion. Debugging helps identify and resolve issues that may arise during data loading, such as:

Data validation errors
Data mapping errors
System errors
Connectivity problems

Monitoring performance metrics like processing time, batch size, and governor limits can help identify bottlenecks and optimize batch processing for efficiency. Debugging can help uncover data quality issues, ensuring the accuracy and consistency of data loaded into Salesforce. Monitoring can help track data access and modifications for compliance with regulations and security policies.

Insights from monitoring and debugging can provide valuable information about system behavior, resource usage, and potential areas for improvement.

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In this article, we will explore the process of debugging the Bulk API Job in a step-by-step approach:

1. Initial Observation

After executing a Bulk API request using Postman, review the response.

Check the numberRecordsProcessed and numberRecordsFailed attributes to see if any records failed during processing.

2. Accessing UI Monitoring Tools

Navigate to Setup -> Bulk Data Load Jobs in your Salesforce org.

3. Reviewing Job Progress

On the Monitor Bulk Data Load Jobs screen, locate the relevant job.

Note the Job Id, Records Processed, and Records Failed columns to assess the job's execution status.

4. Examining Job Details

Click on the Job Id to access the detailed job information page.

5. Downloading Payloads

Locate the View Request and View Result columns on the job details page.

Download both the request and response payloads to review their contents.

6. Analyzing Request Payload

Examine the request payload to understand the data that was submitted for processing.

7. Analyzing Response Payload

Carefully review the response payload to identify the specific errors associated with each failed record.

Pay close attention to error messages, such as Invalid Date values, to pinpoint issues.

8. Resolving Issues

Based on the identified errors in the response payload, make necessary corrections to the request payload.

9. Reprocessing the Job

After addressing the errors, execute the Bulk API request again to process the corrected data.

Continue monitoring the job's progress to ensure successful completion this time.

Conclusion

Monitoring and debugging are essential practices for ensuring the successful and efficient operation of the Salesforce Bulk API. They provide visibility into job progress, help identify and resolve errors, optimize performance, and maintain data integrity.

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