Implementing Field Selection

1. Using Fields Query Parameter

StyleExample
CSV?fields=id,name,email
JSON:API?fields[users]=name,email
GraphQL-like?fields=id,name,profile{bio,avatar}

2. Implementing Sparse Fieldsets

JSON:API standard for per-resource-type field selection.

Example: Sparse Fieldsets

GET /articles?include=author&fields[articles]=title,body&fields[users]=name
PatternExample
Dot notation?fields=id,author.name,author.email
Brace?fields=id,author{name,email}
Combined with expand?expand=author&fields=id,author.name

4. Implementing Default Field Sets

Field GroupReturned When
AlwaysWithout fields param (full default)
List viewCompact set in collection endpoints
Detail viewFull set in singleton endpoint
On requestHeavy fields only with explicit fields

5. Validating Requested Fields

CheckResponse
Unknown field400 + invalid field name
Forbidden field (auth)403 or silently omit
Empty selection400 or return defaults

6. Handling Nested Field Selection

DepthRecommendation
1 levelSimple flat selection
2-3 levelsUse brace/dot notation
> 3 levelsConsider GraphQL instead

7. Optimizing Database Queries

TechniqueBenefit
Project only requested columnsLess I/O, smaller result set
Skip JOINs when relations not neededFaster query plan
Use covering indexesIndex-only scans

8. Combining Field Selection with Pagination

Example: Combined Query

GET /users?fields=id,name&page=1&perPage=50&sort=name

9. Documenting Available Fields

DocumentationFormat
Field listOpenAPI schema properties
Field descriptionsdescription per property
Default fieldsMark in description or extension

10. Implementing Field Exclusion

ParamExample
exclude?exclude=largeBlob,internalNotes
Negation prefix?fields=*,-password,-internalNotes