I'm exploring alternatives to using URL parameters for filtering API results because I find them limited and cumbersome. I'd like to know if there are standardized mechanisms I can use instead. Currently, I'm building a web application utilizing a REST API in .NET with Entity Framework and SQLite, alongside React/TypeScript on the frontend. I'm specifically looking for solutions that allow for complex querying like ranges, partial values, and handling hierarchical/joined tables. I don't mind switching to POST and sending data in the body, but I want a solution that's widely accepted in the industry to avoid creating unnecessary technical debt. Also, my goal is to create a utility that can manage these queries without adding too much boilerplate code. Any insights or resources would be greatly appreciated!
4 Answers
While URL query parameters are stateful and allow for easy bookmarking, I get your frustration. OData is definitely worth considering, even though it seems less popular now. But think about how scalable your app might be; with growing complexity, GraphQL might be beneficial in the long run. Just remember, URL parameters can still work beautifully for many situations, and you can always introduce a way for users to save common queries.
Why not send JSON objects instead? It’s super flexible and can handle a variety of query complexities.
You might want to check out OData or GraphQL. Both offer more standardized ways to handle complex queries compared to basic URL parameters. OData can handle richer queries and allows using POST requests when necessary. GraphQL is a good solution if your queries are complex, although it’s usually recommended for integrating multiple APIs rather than a single one. Formatting your query parameters as JSON is also an option but could run into issues with URL character limits.
You could also look into Lucene query syntax; it’s pretty powerful and allows queries like `?q=name:John* date:[2025-01-01 TO *]`. Just know that managing joins could be tricky with that approach. For even more complex queries, you could research SPARQL, though it might not have an easy join language.
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