Question 1

How do I use mongo-go-pagination with aggregation pipelines?

Accepted Answer

Use the Aggregate method by passing pipeline stages as parameters, as shown in the README example with match and project queries. Chain methods like SetCollation and Sort, but note that struct decoding isn't supported, so you'll need to manually unmarshal the results.

Question 2

Mongo-go-pagination vs writing my own pagination code in Go?

Accepted Answer

Mongo-go-pagination saves time by providing a standardized API with metadata handling, but for highly customized pagination logic or performance optimizations like cursor-based pagination, manual implementation might be more suitable.

Question 3

How to handle large datasets efficiently with mongo-go-pagination?

Accepted Answer

Since it uses offset-based pagination, performance can degrade with large collections. Ensure proper indexing on sorted fields and consider implementing caching or alternative pagination strategies if skip/limit becomes a bottleneck.

Question 4

Does mongo-go-pagination support cursor-based pagination?

Accepted Answer

No, it only supports skip/limit pagination. For cursor-based pagination, often used in real-time applications or infinite scroll, you'll need to extend the library or implement it separately using MongoDB's cursor features.

Question 5

How to decode structs for aggregate queries in mongo-go-pagination?

Accepted Answer

For aggregation queries, you must manually unmarshal the raw BSON data from the Data field into structs using bson.Unmarshal, as direct decoding is not supported, unlike with normal queries.

Question 6

Examples of sort chaining in mongo-go-pagination?

Accepted Answer

You can chain multiple Sort methods or use complex sorts like text score sorting by passing a bson.M value. The README mentions an example with Sort('price', -1) and provides a snippet for text score sorting in full-text search scenarios.

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