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Put eligibility rules and transformations shared by multiple views in the service-owned data pipeline, not in each template. That gives every consumer the same filtered, sorted, display-ready collection while leaving components free to manage view-specific state and render the result.
What the pipeline changes
The chapter’s example separates processing into stages: Resolve produces candidate records, Merge can combine them with current committed state, Filters decide which records are eligible, and ordered Reducers prepare the result. The component observes the committed FeatureCell State after those stages have run.
This is a change in data ownership, not just a way to shorten a template. When filtering or sorting is repeated in individual views, those views can disagree about which records belong or how they should appear. A shared pipeline applies the common rules once and gives each consumer a consistent collection.
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Where filtering logic belongs
The example filter removes a character whose lastName is exactly unknown. In this tutorial, that predicate demonstrates where an eligibility rule can live; it is not a general policy for incomplete records. A real application might filter by authorization, active status, or validation requirements. If users need to correct incomplete information—or if records must be retained for audit—keep the underlying data available through an appropriate path rather than treating this example as a universal deletion rule.
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Keep the filter’s responsibility narrow: decide whether a record belongs in the collection consumers will receive. Use reducers for transformations to records that remain eligible. That distinction makes the pipeline easier to understand and test.
How ordered reducers prepare display data
The chapter describes three reducers, in this order:
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Derive a Yes/No display value from the force-sensitivity boolean.
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Clone the retained collection and sort it by last name.
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Derive a reusable full name for each record.
Each reducer receives the result of the preceding stage, so registration order is part of the behavior. The filter determines eligibility; the reducers then prepare the eligible records for consumers. When sorting or transforming a collection, return a new collection rather than mutating pipeline input. That keeps the transformation boundary explicit and avoids surprising other code that may depend on the original value.
What changes in the template?
In the example, Chewbacca is removed because the seed record has an unknown last name. The remaining four records are sorted by last name, and each has the derived fullName and forceSensitiveDisplay values available.
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The template can read those prepared fields directly. It no longer needs to decide eligibility, sort records, concatenate names, or translate a boolean while rendering. This reduces duplicated transformation logic without taking presentation-specific decisions away from the component.
What belongs in the service and what stays in the component?
The service owns pipeline registration and committed feature state, because those rules and results may be shared across views. The component consumes the reactive state and retains concerns tied to its own interface, such as selected identity, editor mode, form values, confirmation state, and feedback.
This boundary is especially useful when a second view consumes the same records: both views can rely on one eligibility rule and one prepared collection, while maintaining separate selections or editing feedback.
How to verify the data flow
The chapter recommends checking the visible result as well as the pipeline’s contracts. These are verification checks described by the chapter, not reported test results:
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Confirm the example filter excludes Chewbacca and that the intended records remain eligible.
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Check that retained records are in last-name order.
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Confirm every visible record has both
fullNameandforceSensitiveDisplay. -
Check that sorting and derivation do not mutate their inputs.
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Verify that reducer registration order matches the intended sequence of transformations.
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Source and scope
The available chapter copy is hosted by AIWithGhost and identifies the original as published on Dev.to. A DEV Community topic listing also names SDuX Vault for a post with this title and gives a September 29 date, but the year is not stated in the returned listing. The original article and primary project documentation were not accessible, so the exact Angular, TypeScript, and package versions—and whether the example reflects a current implementation—are not established. The implementation details above are attributed to the available chapter copy, not independently verified.
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