| name | api-database-edgedb |
| description | Graph-relational database with EdgeQL query language, code-first schema, link-based relations, computed properties, and fully typed TypeScript query builder |
Gel (formerly EdgeDB) Patterns
Quick Guide: Gel (formerly EdgeDB) is a graph-relational database built on PostgreSQL. Define schemas in .gel files using SDL with types, links, and computed properties. Use gel migration create + gel migrate for schema changes. Query with EdgeQL (set-based, deeply nested shapes) or the TypeScript query builder (e.select, e.insert). Everything in EdgeQL is a set -- empty sets need explicit casts, and operations on sets produce Cartesian products. Use global variables with access policies for row-level security. The query builder requires a running database for code generation (npx @gel/generate edgeql-js).
Naming: EdgeDB was rebranded to Gel in February 2025. The edgedb npm package, CLI, and .esdl extension still work via compatibility shims, but new projects should use gel, @gel/generate, and .gel files.
<critical_requirements>
CRITICAL: Before Using This Skill
All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering, import type, named constants)
(You MUST run npx @gel/generate edgeql-js after every gel migrate -- the generated query builder is based on the database schema and becomes stale after migrations)
(You MUST cast empty sets explicitly (<str>{}, <int64>{}) -- bare {} is a syntax error because EdgeQL is strongly typed and cannot infer the type of an empty set)
(You MUST understand that all EdgeQL values are sets -- operations on multi-valued expressions produce Cartesian products, not element-wise results)
(You MUST pass the transaction object tx (not client) to ALL query .run() calls inside client.transaction() -- using client inside a transaction runs queries outside the transaction)
(You MUST NOT use volatile functions like datetime_current() in schema-defined computed properties -- use datetime_of_transaction() or datetime_of_statement() instead)
</critical_requirements>
Auto-detection: Gel, gel, EdgeDB, edgedb, EdgeQL, edgeql, .gel, .esdl, dbschema, edgeql-js, createClient, e.select, e.insert, e.update, e.delete, e.params, gel migrate, gel migration, edgedb migrate, SDL schema, backlink, access policy, gel.toml, edgedb.toml
When to use:
- Defining graph-relational schemas with types, links, and computed properties
- Writing type-safe queries with EdgeQL or the TypeScript query builder
- Managing schema migrations with the built-in migration system
- Modeling complex relationships (multi links, backlinks, polymorphism)
- Implementing row-level security with access policies and globals
Key patterns covered:
- Client setup and connection (
createClient, DSN, environment variables)
- Schema definition in SDL (types, properties, links, constraints, computed)
- EdgeQL query language (SELECT shapes, INSERT, UPDATE, DELETE)
- TypeScript query builder (
e.select, e.insert, e.update, e.delete)
- Migrations workflow (
gel migration create, gel migrate)
When NOT to use:
- Simple key-value storage (use a dedicated key-value store)
- Projects that need raw SQL as the primary interface (Gel uses EdgeQL; Gel 6+ adds native SQL support but EdgeQL is the primary interface)
- Environments where you cannot run the Gel server (it is not an embedded database)
Detailed Resources:
- For decision frameworks and quick reference, see reference.md
Core Patterns:
- examples/core.md - Client setup, schema definition, EdgeQL basics, migration workflow
Query Builder:
Advanced Schema:
Philosophy
Gel is a graph-relational database. It combines the relational model (tables, constraints, ACID) with a graph model (links between objects, deep traversal). The core idea: relationships are first-class citizens, not join tables.
Core principles:
- Schema is the source of truth -- Define everything in
.gel files (or .esdl for legacy projects). Migrations are auto-generated by comparing your schema files against the database state.
- Links over foreign keys -- Use
link to connect types. Gel handles the underlying foreign keys. You never write JOIN -- you traverse links with dot notation.
- Sets everywhere -- Every value in EdgeQL is a set. A single string is a set of one element. This is the most important mental model shift from SQL.
- Shapes for projection -- SELECT returns structured, nested objects (like GraphQL responses), not flat rows. You specify the "shape" of what you want.
- Computed properties are views -- Computed properties and links are not stored; they are evaluated on every query. Use them for derived data.
- Query builder for TypeScript -- The generated query builder provides compile-time type safety. Prefer it over raw EdgeQL strings in TypeScript projects.
When to use Gel:
- Applications with complex, deeply nested relationships (social graphs, content systems, e-commerce)
- Projects that benefit from graph-style traversals without sacrificing relational integrity
- TypeScript projects that want compile-time type-safe database queries
- Teams that want automatic migration generation from schema changes
When NOT to use:
- Existing projects locked into raw PostgreSQL with extensive stored procedures
- Applications where SQL compatibility is the only acceptable query language (Gel 6+ has native SQL support, but EdgeQL is the primary interface)
- Environments that cannot run the Gel server process
Core Patterns
Pattern 1: Client Setup
Create a client with createClient(). Connection details are auto-discovered from gel.toml (or edgedb.toml) or environment variables.
import { createClient } from "gel";
const client = createClient();
export { client };
Choose the right query method by expected cardinality: query() for sets, querySingle() for optional single, queryRequiredSingle() when result is guaranteed, execute() for side-effect-only statements. See examples/core.md for full client setup patterns.
Pattern 2: Schema Definition (SDL)
Schemas live in dbschema/*.gel files (or *.esdl for legacy projects). Use required for non-null, link for relationships, constraint exclusive for uniqueness, computed backlinks (.<author[is Post]) for reverse traversal.
# dbschema/default.gel
module default {
type User {
required name: str;
required email: str { constraint exclusive; };
multi posts := .<author[is Post]; # computed backlink
}
type Post {
required title: str;
required author: User; # link, not uuid!
}
}
Key rule: Always use link for relationships -- never raw uuid properties. See examples/core.md for complete schema patterns with constraints, indexes, and enums.
Pattern 3: EdgeQL Queries
SELECT uses shapes for projection (like GraphQL), INSERT assigns links via subqueries, UPDATE uses +=/-=/:= for multi link manipulation.
select User {
name, email,
posts: { title, status } filter .status = Status.published,
} filter .email = 'alice@example.com';
See examples/core.md for SELECT/INSERT/UPDATE/DELETE patterns and parameterized queries.
Pattern 4: Migrations
Gel compares your .gel files against the database and auto-generates migrations.
gel migration create
gel migrate
npx @gel/generate edgeql-js
Never edit the database with DDL directly -- always modify .gel files and use the migration workflow. See examples/core.md for the full workflow including gel watch --migrate for prototyping.
Pattern 5: Transactions
Pass tx (not client) to ALL operations inside client.transaction(). Using client inside the callback runs queries outside the transaction.
await client.transaction(async (tx) => {
await tx.execute(`update Account ...`);
});
See examples/core.md for transaction patterns and examples/query-builder.md for query builder transactions.
<red_flags>
RED FLAGS
High Priority Issues:
- Using
client instead of tx inside client.transaction() -- queries run outside the transaction and cannot be rolled back
- Forgetting to run
npx @gel/generate edgeql-js after gel migrate -- query builder types are stale and TypeScript won't catch schema mismatches
- Using raw
uuid properties instead of link -- defeats Gel's graph traversal and referential integrity
- Using
datetime_current() in schema-defined computed properties -- volatile functions are forbidden in schema computeds; use datetime_of_statement() or datetime_of_transaction()
Medium Priority Issues:
- Bare
{} for empty sets -- EdgeQL requires explicit type cast (<str>{}, <array<int64>>[]) because the type cannot be inferred from an empty literal
- Using
:= when you mean += on multi links in UPDATE -- := replaces the entire set, += adds to it, -= removes from it
- Not specifying
filter on UPDATE/DELETE -- without a filter, the operation applies to ALL objects of that type
- Editing the database with DDL directly instead of through
.gel files + migrations -- causes schema drift between files and database
Common Mistakes:
- Expecting element-wise behavior from set operations --
{1, 2} + {10, 20} produces {11, 21, 12, 22} (Cartesian product), not {11, 22}
- Forgetting that
select on a single link returns an object (not an ID) -- you do not need to JOIN; just traverse with .
- Using
select count(MyType) and expecting querySingle to work -- count() always returns exactly one value, so use queryRequiredSingle
- Defining a computed backlink but forgetting the type filter --
.<author without [is Post] returns all types that have an author link
Gotchas & Edge Cases:
- Computed properties are not stored -- they are re-evaluated on every query, which can be expensive for complex expressions
required on a multi link means "at least one" -- an empty set violates the constraint, which can be surprising
- String concatenation uses
++ not + -- the + operator is for arithmetic only
LIMIT 1 does NOT make a query return a singleton for cardinality purposes -- use filter .id = <uuid>$id (exclusive constraint) for the query builder to infer singleton cardinality
- Multi links are unordered sets -- if you need ordering, add an
order by in your query or use an intermediate type with an order property
- Backlinks (
.<link_name) default to multi cardinality -- use single keyword explicitly if you know the relationship is one-to-one
- EdgeDB branches (v5+) are separate database copies, not lightweight references -- branching a large database takes time and disk space proportional to the data size
</red_flags>
<critical_reminders>
CRITICAL REMINDERS
All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering, import type, named constants)
(You MUST run npx @gel/generate edgeql-js after every gel migrate -- the generated query builder is based on the database schema and becomes stale after migrations)
(You MUST cast empty sets explicitly (<str>{}, <int64>{}) -- bare {} is a syntax error because EdgeQL is strongly typed and cannot infer the type of an empty set)
(You MUST understand that all EdgeQL values are sets -- operations on multi-valued expressions produce Cartesian products, not element-wise results)
(You MUST pass the transaction object tx (not client) to ALL query .run() calls inside client.transaction() -- using client inside a transaction runs queries outside the transaction)
(You MUST NOT use volatile functions like datetime_current() in schema-defined computed properties -- use datetime_of_transaction() or datetime_of_statement() instead)
Failure to follow these rules will cause stale types, silent data bugs, or transaction isolation failures.
</critical_reminders>