Find

The find operation retrieves documents from a collection. It supports filtering, sorting, pagination, field projection, and streaming for large result sets.

Basic usage

import cats.effect.IO
import mongo4cats.bson.Document
import mongo4cats.collection.MongoCollection

val collection: MongoCollection[IO, Document] = ???

// Stream all documents
val stream: fs2.Stream[IO, Document] = collection.find.stream

// Collect all documents into memory
val all: IO[Iterable[Document]] = collection.find.all

// Fetch only the first matching document
val first: IO[Option[Document]] = collection.find.first

Filtering

Pass a Filter to restrict which documents are returned. Filters are composable with && (AND), || (OR), and .not:

import mongo4cats.operations.Filter

// Equality
val byName   = Filter.eq("name", "Alice")
val byStatus = Filter.eq("status", "active")

// Comparisons
val adults  = Filter.gte("age", 18)
val recent  = Filter.gt("createdAt", Instant.parse("2024-01-01T00:00:00Z"))

// Combine with &&
val result: IO[Iterable[Document]] = collection.find(byName && byStatus).all

// Combine with ||
val eitherResult: IO[Option[Document]] = collection.find(byName || Filter.eq("name", "Bob")).first

// Negate
val notActive: IO[Iterable[Document]] = collection.find(byStatus.not).all

Filter reference

Filter	Description
`Filter.empty`	Matches all documents
`Filter.eq(field, value)`	Field equals value
`Filter.ne(field, value)`	Field not equal to value
`Filter.gt(field, value)`	Field greater than value
`Filter.gte(field, value)`	Field greater than or equal to value
`Filter.lt(field, value)`	Field less than value
`Filter.lte(field, value)`	Field less than or equal to value
`Filter.in(field, values)`	Field value is in the list
`Filter.nin(field, values)`	Field value is not in the list
`Filter.exists(field)`	Field is present in the document
`Filter.notExists(field)`	Field is absent from the document
`Filter.isNull(field)`	Field value is null
`Filter.regex(field, pattern)`	Field matches a regex pattern (String or `scala.util.matching.Regex`)
`Filter.text(search)`	Full-text search (requires a text index)
`Filter.all(field, values)`	Array field contains all the given values
`Filter.elemMatch(field, filter)`	At least one array element matches the filter
`Filter.size(field, n)`	Array field has exactly n elements
`Filter.typeIs(field, bsonType)`	Field is of the given BSON type
`Filter.mod(field, divisor, remainder)`	Modulo operation
`Filter.idEq(value)`	Match on `_id`
`Filter.and(filters*)`	Logical AND
`Filter.or(filters*)`	Logical OR
`Filter.where(jsExpr)`	Match using a JavaScript expression
`Filter.jsonSchema(schema)`	Match using a JSON schema

Geospatial filters (geoWithin, geoIntersects, near, nearSphere, etc.) are also available.

Sorting

import mongo4cats.operations.Sort

// Ascending by one field
collection.find.sort(Sort.asc("name")).all

// Descending by one field
collection.find.sort(Sort.desc("createdAt")).all

// Multi-field: ascending by "category", then descending by "score"
collection.find.sort(Sort.asc("category").desc("score")).all

// Shorthand methods on the query builder
collection.find.sortBy("name").sortByDesc("createdAt").all

// Text score sort (requires a text index and text filter)
collection.find(Filter.text("search term"))
  .sort(Sort.metaTextScore("score"))
  .all

Pagination

// Skip the first 20 results and return the next 10
collection.find.skip(20).limit(10).all

Projection

Use Projection to include or exclude specific fields, reducing the amount of data transferred:

import mongo4cats.operations.Projection

// Include only name and email (and implicitly _id)
collection.find.projection(Projection.include("name").include("email")).all

// Exclude _id, include everything else
collection.find.projection(Projection.excludeId).all

// Exclude specific fields
collection.find.projection(Projection.exclude("sensitiveField")).all

// Return a slice of an array field (skip 0, take 5)
collection.find.projection(Projection.slice("tags", 5)).all

Combining options

Options can be chained in any order:

collection.find(Filter.eq("status", "active"))
  .sort(Sort.desc("score"))
  .skip(10)
  .limit(20)
  .projection(Projection.excludeId)
  .all

Streaming large result sets

Use .stream instead of .all to process documents one at a time without loading the entire result set into memory:

import fs2.Stream

val stream: fs2.Stream[IO, Document] =
  collection.find(Filter.gte("score", 0)).sort(Sort.desc("score")).stream

stream.evalMap(doc => IO.println(doc)).compile.drain

Atomic find-and-modify operations

MongoCollection[F, T] also supports atomic operations that find a document and modify it in one step:

import mongo4cats.operations.{Filter, Update}
import mongo4cats.models.collection.FindOneAndUpdateOptions

// Find the first matching document and update it, returning the document AFTER the update
val updated: IO[Option[Document]] = collection.findOneAndUpdate(
  Filter.eq("name", "Alice"),
  Update.inc("loginCount", 1),
  FindOneAndUpdateOptions().returnDocument(ReturnDocument.AFTER)
)

// Find and delete, returning the deleted document
val deleted: IO[Option[Document]] = collection.findOneAndDelete(Filter.eq("name", "Bob"))

// Find and replace
val replaced: IO[Option[Document]] = collection.findOneAndReplace(
  Filter.eq("_id", someId),
  newDocument
)

Using with a client session (transactions)

All find operations accept an optional ClientSession[F] as the first argument to run within a transaction:

client.startSession.use { session =>
  collection.find(session, Filter.eq("status", "pending")).all
}

Basic usage​

Filtering​

Filter reference​

Sorting​

Pagination​

Projection​

Combining options​

Streaming large result sets​

Atomic find-and-modify operations​

Using with a client session (transactions)​