Map/Reduce Script in SuiteScript
A SuiteScript 2.x script type designed for processing large volumes of NetSuite records efficiently by distributing work across parallel execution stages.
A Map/Reduce script is SuiteScript's answer to large-scale batch processing. Standard SuiteScript scripts have a governance limit: they can only perform a limited number of API calls before they are terminated. For processing 10,000 records, a standard scheduled script will hit this limit. Map/Reduce scripts work around this by distributing the work across four phases: Get Input Stage (define the data set to process), Map Stage (process each record independently), Shuffle Stage (group map output by key), and Reduce Stage (aggregate grouped results).
NetSuite runs the Map and Reduce stages in parallel across multiple queue slots, allowing large data sets to be processed in a fraction of the time a sequential script would take. This makes Map/Reduce the correct script type for: bulk record updates, large data exports, complex reconciliation runs, and any nightly batch job operating on thousands of records.
A Map/Reduce script that is not designed correctly can become difficult to debug in production. The platform provides a status dashboard showing the progress of each stage, but error handling across parallel stages requires deliberate design. Aaxonix always implements structured error logging and summary email notifications in Map/Reduce scripts.
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