What is the primary purpose of PK chunking in Salesforce?

The primary purpose of PK chunking in Salesforce is to split bulk queries on very large tables. This method is utilized to enhance query performance and manageability when dealing with extensive datasets. By dividing records into smaller segments or "chunks" based on their primary key, Salesforce can process and retrieve data more efficiently.

When querying large tables, traditional methods may lead to timeouts or performance issues due to the volume of data being fetched. PK chunking allows for these large datasets to be handled in smaller, more manageable pieces, which can significantly reduce processing time and improve overall query performance. This approach is particularly beneficial in batch processing scenarios or when implementing features like data migration tasks, where dealing with a high volume of records in one go can be impractical.

The other choices don't relate directly to the function of PK chunking. For instance, generating more detailed reports and indexing records might improve data reporting and search capabilities but are not the specific functions of PK chunking. Deleting records quickly from tables also does not accurately reflect PK chunking's purpose, as it is primarily concerned with reading and processing data rather than deleting it.