SALESFORCE BULK API LIMITS
The sheer volume of Salesforce data can make managing data flows in your organization difficult. Large numbers of records can cause performance problems that significantly limit the user experience. As an enterprise user, you need to be able to quickly and efficiently move large amounts of data between your systems and Salesforce. Salesforce Bulk API is a data management solution that enables rapid loading of a large number of records into Salesforce. However, Bulk API has limits set by Salesforce on the number of concurrent jobs, the rate of data transmission, and the total number of records being processed. In this article, we will look at the Salesforce Bulk API limits and provide five strategies to maximize your Bulk API performance. Understanding Salesforce Bulk API Limits Salesforce Bulk API enables you to process data requests in batches. Processing is done in "jobs," consisting of multiple batches. There are three limits to the Bulk API: concurrent jobs, the rate of data transmission, and the total number of records being processed. The number of concurrent jobs is limited to three. This means that you can only process up to three Bulk API jobs at the same time. The rate of data transmission is limited to 10,000 records per second. If you exceed this limit, your job will be paused until your speed goes below the limit. The total number of records being processed is also capped at 2.5 million records per job. Maximizing Salesforce Bulk API Performance It is possible to maximize the performance of Bulk API jobs and reduce processing time. Here are five tips to help you get the most out of your Bulk API limits. 1. Monitor Your Jobs: Keeping track of your Bulk API jobs is essential for maximizing performance. You can monitor your jobs in Salesforce to ensure that none of them are taking too long or hitting any of the limits set by Salesforce. 2. Increase Concurrency: To increase the performance of your Bulk API jobs, you can increase the concurrency limit to 6 or even higher. Increasing the number of concurrent jobs will allow you to process more records in a shorter amount of time. 3. Increase Data Transfer Rate: Increasing the data transfer rate can also reduce processing time. You can increase the rate to 20,000 or even 30,000 records per second. Keep in mind that increasing the transfer rate may lead to more concurrent jobs. 4. Reduce Batch Size: Reducing batch size is another strategy to increase performance. If you reduce the average batch size, you can process more records in a shorter amount of time. 5. Utilize Batch Reports: Finally, you can use Salesforce batch reports to track the performance of your Bulk API jobs. It is important to keep track of the number of records processed, the number of errors, and the total processing time. This will allow you to monitor and optimize your jobs, ensuring that you get the most out of Bulk API. Conclusion Salesforce Bulk API is a powerful data management solution, but it has limits. By understanding and maximizing the Bulk API limits, you can process larger numbers of records in a shorter amount of time. The five tips outlined above will help you get the most out of Bulk API and maximize your data processing performance.
Topics:
