Partition once versus filter twice for bulk email validation
The decision The partition function separates the array into the elements that satisfy the condition from those that do not docs . The filter function iterates over an array and applies an expression that returns matching values docs . Both scripts compute the task to split payload.records into accepted ids and rejected records with a reason, plus a retry count, by an email match. First approach…
The decision of whether to use partition once or filter twice for bulk email validation boils down to a comparison of two scripts. Both scripts aim to split payload.records into accepted ids and rejected records, along with a retry count, based on an email match. The first approach, partition once, uses the import line import * from dw::core::Arrays and the partition function from the dw::core::Arrays module.
The second approach, filter twice, does not require any import and uses the filter function twice to create valid and invalid records. The output of both scripts is the same, consisting of an array of accepted ids, an array of rejected records with reasons, and a retry count. In terms of performance, partition once took between 77 and 94 milliseconds for 5-50,000 records, while filter twice took between 52 and 335 milliseconds for the same range.
Despite the similar timing range, filter twice was chosen for its lower median times and the avoidance of an import line.
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