Reading data

Every model has the read methods you expect.

await db.user.findMany({ where: { active: true }, take: 20 });
await db.user.findFirst({ where: { email: 'a@x.co' } });          // first match or null
await db.user.findUnique({ where: { id: 'u1' } });                 // by a unique field
await db.user.findFirstOrThrow({ where: { email: 'a@x.co' } });    // throws if missing
await db.user.findUniqueOrThrow({ where: { id: 'u1' } });          // throws if missing
await db.user.count({ where: { active: true } });
await db.user.aggregate({                                          // bucketed stats
  where: { active: true },
  _avg:  { age: true },
  _sum:  { credits: true },
});

Filtering with where

where accepts either a direct value or an operator object per field, plus AND, OR, and NOT.

await db.post.findMany({
  where: {
    status: 'PUBLISHED',                       // equals
    title:  { contains: 'forge' },             // text match
    views:  { gte: 100, lt: 1000 },            // ranges
    author_id: { in: ['u1', 'u2'] },           // any of
    OR: [
      { pinned: true },
      { created_at: { gt: new Date('2024-01-01') } },
    ],
  },
});

Operator reference

All operators, with the field kinds they apply to.

Operator	Applies to	Meaning
equals / =	every field	exact match (same as passing a value directly)
not	every field	inverse of equals (accepts a value or a nested filter)
in	every field	value is one of an array
notIn	every field	value is not in an array
lt / lte / gt / gte	numbers, dates, strings	range comparisons
contains	strings	substring match (LIKE %x%)
startsWith	strings	prefix match (LIKE x%)
endsWith	strings	suffix match (LIKE %x)
mode: 'insensitive'	strings	case-insensitive variant of the text operators
has	stringArray / intArray / embedMany	the list contains the given value
hasEvery	array fields	the list contains all of the given values
hasSome	array fields	the list contains at least one of the given values
isEmpty	array fields	length === 0
some / every / none	embedMany / relations	quantified filter on the nested rows
search	f.text().searchable() columns	full-text search (see Full-text search)
path + sub-op	f.json() / f.embed() / f.embedMany() / arrays	typed JSON path read (see JSON path queries)
dotted key ('address.city')	f.json() / f.embed() / f.embedMany() / arrays	shorthand for a path filter — { 'address.city': 'sf' }, { 'meta.stats.views': { gte: 10 } }. Compiles portably on every dialect; strict mode validates embed sub-fields
near	f.geoPoint() / f.vector()	within distance (see Geo / Vector)
withinPolygon	f.geoPoint()	point lies inside a polygon
AND / OR / NOT	top level	boolean combinators (accept arrays or single objects)

An operator forge doesn't recognise throws (since 2.7) rather than being dropped — a dropped condition means the filter silently matches every row. The error names the column and suggests the fix, so $gte says "use gte" and contians says "did you mean contains".

Comparing two columns: col()

Use col('otherField') on the right-hand side of equals/not/lt/lte/ gt/gte to compare one column against another column of the same row, instead of against a literal. It works the same on every dialect — Mongo compiles it to $expr, SQL to a plain a <op> b.

import { col } from 'forge-orm';

// promos still under their global cap
await db.promo.findMany({
  where: { currentUsage: { lt: col('globalLimit') } },
});

// the canonical use: an atomic, race-safe guarded counter
await db.promo.update({
  where: { id, currentUsage: { lt: col('globalLimit') } },   // only if room remains
  data:  { currentUsage: { increment: 1 } },                 // single atomic write
});

col() only accepts the six comparison operators, and the referenced field must be a real scalar column (a typo or relation name throws at build time).

Choosing fields: select and include

By default a query returns all of a model's own columns. To change that, use one of these (you may use one or the other, not both at once):

• select returns only the fields you list. The result type narrows to match.
• include returns all columns plus the related records you ask for.

// only these two fields come back
const slim = await db.user.findMany({ select: { id: true, email: true } });

// the user plus their posts, and each post's comments
const full = await db.user.findFirst({
  where:   { id: 'u1' },
  include: { posts: { include: { comments: true } } },
});

// you can filter and limit an included relation
await db.user.findFirst({
  include: { posts: { where: { status: 'PUBLISHED' }, orderBy: { created_at: 'desc' }, take: 5 } },
});

// _count returns relation cardinalities
await db.user.findMany({ include: { _count: { select: { posts: true, comments: true } } } });
// → user.{_count: { posts: 5, comments: 12 }}

Sorting and pagination

await db.post.findMany({
  where:   { status: 'PUBLISHED' },
  orderBy: { created_at: 'desc' },     // or an array for multiple keys
  take:    20,                          // page size
  skip:    40,                          // offset
});

// cursor pagination, for stable paging over large sets
await db.post.findMany({ take: 20, cursor: { id: lastSeenId }, skip: 1 });

See more — docs/QUERIES.md for every operator with per-dialect SQL/Mongo emit, cursor pagination, distinct, streaming internals, common bugs, and eight worked queries. docs/AGGREGATIONS.md for count/sum/avg/groupBy/having dashboards. docs/WINDOWS.md for ROW_NUMBER / LAG / LEAD / moving averages / sessionization. docs/PAGINATION.md for cursor vs offset vs keyset and Relay/REST response shapes. docs/STREAMING.md for findManyStream internals per driver. docs/N-PLUS-ONE.md for the canonical query-explosion prevention patterns.

---