While loading large amounts of data, it is possible that a single data error might be repeated for each input record. Because an error can often be corrected long before errors are generated for all of the records in a job run, consider using the ErrorLimit attribute to specify a limit to the number of errors that can be tolerated before a job is terminated.
This limit, which is specified with the ErrorLimit attribute, represents the total number of errors written to the first error table per instance of the Load operator, not to all instances combined. Therefore, if an error limit is set to 1,000, a single load instance must detect that 1,000 rows are inserted into the error table before the job is terminated.
The error limit can also be reached at checkpoint time. See the examples below.