What is the primary function of batch step filters?

The primary function of batch step filters is to define conditions under which records are accepted or rejected. In a batch processing system, these filters are crucial for ensuring that only relevant or valid records are processed further in the pipeline. By implementing filters, you can control the flow of data and enhance the efficiency of processing by eliminating unnecessary records at an early stage.

For example, if there are specific criteria that a record must meet in order to be processed (such as belonging to a certain category or having a required field populated), batch step filters allow you to specify these conditions. As a result, only those records that satisfy the defined criteria will pass through the filter, while those that do not will be filtered out and thus prevent them from consuming resources in subsequent steps.

In contrast, while modifications, logging, and calculations may be important within a batch processing workflow, these functions are not the primary purpose of filters. Calculations on records typically occur in subsequent steps after filtering, while modifications can be part of other processing steps. Logging is more about tracking the operations performed rather than defining the acceptance criteria for records.