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api-database-edgedb

Graph-relational database with EdgeQL query language, code-first schema, link-based relations, computed properties, and fully typed TypeScript query builder

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연동 도구PostgreSQL
설치 방법 보기

포함된 파일(6)

  • SKILL.md12.3 KB
  • examples/advanced-schema.md9.8 KB
  • examples/core.md12.1 KB
  • examples/query-builder.md12.8 KB
  • metadata.yaml544 B
  • reference.md10.4 KB

SKILL.md(원문)

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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

(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>

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:

  1. 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.
  2. 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.
  3. 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.
  4. Shapes for projection -- SELECT returns structured, nested objects (like GraphQL responses), not flat rows. You specify the "shape" of what you want.
  5. Computed properties are views -- Computed properties and links are not stored; they are evaluated on every query. Use them for derived data.
  6. 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
</philosophy>
<patterns>

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(); // auto-discovers from project config
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    # generate migration from schema diff (interactive)
gel migrate             # apply pending migrations (idempotent)
npx @gel/generate edgeql-js  # regenerate query builder

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 ...`); // tx, not client!
});

See examples/core.md for transaction patterns and examples/query-builder.md for query builder transactions.

</patterns>

<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

(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>

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