api-database-knex
SQL query builder for PostgreSQL, MySQL, SQLite, and MSSQL -- fluent queries, schema builder, migrations, seeds, transactions, raw queries
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🎯 このSkillでできること
下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。
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%USERPROFILE%\.claude\skills\
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詳しい使い方ガイドを見る →- 最終更新
- 2026-05-18
- 取得日時
- 2026-05-18
- 同梱ファイル
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📖 Claude が読む原文 SKILL.md(中身を展開)
この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。
Knex.js Patterns
Quick Guide: Use Knex.js (v3.x) as a SQL query builder for PostgreSQL, MySQL, SQLite, and MSSQL. Initialize the knex instance once per application (it creates a connection pool internally via tarn.js). Set pool
min: 0so idle connections are released. Always use parameterized bindings (?for values,??for identifiers) inknex.raw()-- never interpolate user input. Wrap multi-table writes inknex.transaction()and always return or await the promise (otherwise the transaction hangs). Use.returning()on PostgreSQL/MSSQL for inserted/updated rows -- it is a no-op on MySQL/SQLite. Callknex.destroy()on graceful shutdown to drain the pool.
<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 initialize the knex instance ONCE per application and reuse it -- creating multiple instances leaks connection pools)
(You MUST use parameterized bindings (? for values, ?? for identifiers) in ALL knex.raw() calls -- string interpolation causes SQL injection)
(You MUST return or await the promise inside knex.transaction() handlers -- failing to do so causes the transaction connection to hang indefinitely)
(You MUST call knex.destroy() on graceful shutdown -- orphaned pools prevent the Node.js process from exiting)
</critical_requirements>
Examples
- Core Patterns -- Initialization, query builder, insert/update/delete, raw queries, TypeScript integration
- Schema & Migrations -- Schema builder, createTable, alterTable, migrations, seeds
- Transactions & Advanced -- Transactions, batch insert, subqueries, connection pooling, multi-tenancy
Additional resources:
- reference.md -- Query method cheat sheet, column types, pool options, anti-patterns, production checklist
Auto-detection: Knex, knex, knexfile, knex.raw, knex.schema, knex.transaction, knex.migrate, knex.seed, batchInsert, query builder, schema builder, SQL query builder, knex.fn.now, knex.ref, knex.destroy, pg, mysql2, sqlite3, better-sqlite3
When to use:
- Building SQL queries programmatically with a fluent API
- Database schema creation and modification (createTable, alterTable)
- Running and managing database migrations (up/down)
- Seeding development/test databases
- Wrapping multi-step database operations in transactions
- Writing raw SQL with safe parameter binding
- Batch inserting large datasets with chunking
Key patterns covered:
- Knex initialization with connection pool configuration
- Fluent query builder (select, where, join, orderBy, groupBy, having)
- Insert, update, delete with
.returning()for PostgreSQL/MSSQL - Schema builder (createTable, alterTable, column types, indexes, foreign keys)
- Migrations (knex migrate:make, up/down, transaction control)
- Seeds (knex seed:make, seed:run)
- Transactions with async/await and isolation levels
- Raw queries with
?value bindings and??identifier bindings - Subqueries as callbacks or builder instances
- Batch insert with
batchInsert()and chunking - TypeScript table type augmentation
- Connection pool tuning (min, max, acquireTimeout, lifetime)
When NOT to use:
- You need a full ORM with model relationships, lifecycle hooks, and identity maps -- use your ORM solution instead
- You need database-specific features Knex doesn't abstract (e.g., PostgreSQL LISTEN/NOTIFY, MySQL fulltext indexes) -- use
knex.raw()for those - Your project already uses a different query layer or ORM and doesn't need a second one
<philosophy>
Philosophy
Knex is a SQL query builder, not an ORM. The core principle: you write SQL, Knex just makes it safer and more portable.
Core principles:
- One instance, one pool -- Initialize knex once. The instance manages a connection pool (tarn.js). Never create multiple knex instances pointing at the same database.
- Parameterize everything -- Use
?bindings for values and??for identifiers. Never interpolate strings into queries. - Migrations are the source of truth -- Schema changes happen through migrations, not ad-hoc
knex.schemacalls in application code. - Transactions for consistency -- Any operation touching multiple tables or needing atomicity must be wrapped in
knex.transaction(). - Knex is dialect-aware, not dialect-hiding -- Knex normalizes common SQL, but database-specific features (e.g.,
.returning()on PostgreSQL,ON DUPLICATE KEYon MySQL) must be handled per-dialect.
</philosophy>
<patterns>
Core Patterns
Pattern 1: Knex Initialization
Initialize once per application. The knex instance manages a connection pool internally. See examples/core.md for full examples.
// Good Example -- Proper initialization with pool tuning
import knex from "knex";
const POOL_MIN = 0;
const POOL_MAX = 10;
const ACQUIRE_TIMEOUT_MS = 30_000;
function createDatabase() {
const connectionString = process.env.DATABASE_URL;
if (!connectionString) {
throw new Error("DATABASE_URL environment variable is required");
}
return knex({
client: "pg",
connection: connectionString,
pool: { min: POOL_MIN, max: POOL_MAX },
acquireConnectionTimeout: ACQUIRE_TIMEOUT_MS,
});
}
export { createDatabase };
Why good: Single instance, environment variable for connection string, pool min: 0 releases idle connections, named constants
// Bad Example -- Multiple instances, hardcoded config
import knex from "knex";
function getUsers() {
const db = knex({ client: "pg", connection: "postgres://localhost/mydb" });
return db("users").select("*");
// Connection pool leaked -- db.destroy() never called
}
Why bad: Creates a new pool per call (leaks connections), hardcoded connection string, select("*") fetches unnecessary columns
Pattern 2: Query Builder Basics
Fluent API for building SELECT queries. See examples/core.md for joins, groupBy, having.
// Good Example -- Typed query with explicit columns
const ACTIVE_STATUS = "active";
const PAGE_SIZE = 25;
const users = await db<User>("users")
.select("id", "name", "email")
.where("status", ACTIVE_STATUS)
.orderBy("created_at", "desc")
.limit(PAGE_SIZE);
Why good: Explicit column selection, typed result, named constants for status and page size
// Bad Example -- select(*) with string interpolation
const users = await db("users").select("*").whereRaw(`status = '${status}'`); // SQL INJECTION
Why bad: select("*") fetches unnecessary data, string interpolation in whereRaw creates SQL injection vulnerability
Pattern 3: Insert / Update / Delete with Returning
.returning() works on PostgreSQL, MSSQL, CockroachDB, and SQLite 3.35+. MySQL ignores it silently. See examples/core.md.
// Good Example -- Insert with returning (PostgreSQL)
const [inserted] = await db("users")
.insert({ name: "Alice", email: "alice@example.com" })
.returning(["id", "created_at"]);
// Good Example -- Update with returning
const [updated] = await db("users")
.where("id", userId)
.update({ name: newName, updated_at: db.fn.now() })
.returning(["id", "name", "updated_at"]);
Why good: .returning() avoids a separate SELECT, db.fn.now() uses database-native timestamp
// Bad Example -- Forgetting returning() on PostgreSQL
await db("users").insert({ name: "Alice" });
// Returns [] (empty array) on PostgreSQL, not the inserted data
// Developer expects the inserted row but gets a useless number
Why bad: Without .returning(), PostgreSQL insert returns row count (not data), forcing an extra SELECT query
Pattern 4: Raw Queries with Safe Bindings
Use ? for value bindings and ?? for identifier bindings. See examples/core.md.
// Good Example -- Parameterized raw query
const MIN_ORDER_COUNT = 5;
const results = await db.raw(
`SELECT ??, COUNT(*) as order_count
FROM ??
WHERE ?? > ?
GROUP BY ??
HAVING COUNT(*) >= ?`,
[
"users.id",
"orders",
"orders.created_at",
cutoffDate,
"users.id",
MIN_ORDER_COUNT,
],
);
Why good: ?? for identifiers, ? for values, all user input parameterized
// Bad Example -- String concatenation in raw query
const results = await db.raw(`SELECT * FROM users WHERE name = '${name}'`);
// SQL INJECTION: name = "'; DROP TABLE users; --"
Why bad: String interpolation allows SQL injection, attacker can execute arbitrary SQL
Pattern 5: Transactions
Wrap multi-step operations in transactions. Return or await the promise -- otherwise the connection hangs. See examples/transactions-advanced.md.
// Good Example -- Async/await transaction
const result = await db.transaction(async (trx) => {
const [order] = await trx("orders")
.insert({ user_id: userId, total: amount })
.returning("id");
await trx("order_items").insert(
items.map((item) => ({ order_id: order.id, ...item })),
);
await trx("inventory")
.whereIn(
"product_id",
items.map((i) => i.product_id),
)
.decrement("quantity", 1);
return order;
});
// Transaction auto-commits on success, auto-rolls-back on thrown error
Why good: All operations atomic, auto-commit on success, auto-rollback on error, returns value from transaction
// Bad Example -- Forgetting to return/await inside transaction
await db.transaction((trx) => {
trx("orders").insert({ user_id: userId }); // NOT returned/awaited
trx("items").insert({ order_id: 1 }); // NOT returned/awaited
// Transaction handler returns undefined -- trx NEVER commits or rolls back
// Connection hangs until acquireConnectionTimeout fires
});
Why bad: Without returning a promise, Knex cannot detect completion, transaction hangs indefinitely consuming a pool connection
Pattern 6: Schema Builder
Create and modify tables. Use in migrations, not application code. See examples/schema-migrations.md.
// Good Example -- Migration creating a table
export async function up(knex: Knex): Promise<void> {
await knex.schema.createTable("orders", (table) => {
table.increments("id").primary();
table
.integer("user_id")
.unsigned()
.notNullable()
.references("id")
.inTable("users")
.onDelete("CASCADE");
table.decimal("total", 10, 2).notNullable();
table
.enum("status", ["pending", "paid", "shipped", "cancelled"])
.notNullable()
.defaultTo("pending");
table.timestamps(true, true); // created_at, updated_at with defaults
table.index(["user_id", "status"]);
});
}
export async function down(knex: Knex): Promise<void> {
await knex.schema.dropTable("orders");
}
Why good: Foreign key with cascade, composite index, enum constraint, timestamps with defaults, reversible down migration
</patterns>
<decision_framework>
Decision Framework
Knex Method Selection
What kind of database operation?
-- SELECT query -> db("table").select().where()
-- INSERT -> db("table").insert(data).returning()
-- UPDATE -> db("table").where().update(data).returning()
-- DELETE -> db("table").where().del()
-- Schema change -> db.schema.createTable() / .alterTable() (in migrations only)
-- Complex SQL -> db.raw("SQL", bindings)
-- Batch insert -> db.batchInsert("table", rows, chunkSize)
-- Multi-table atomic write -> db.transaction(async (trx) => { ... })
When to Use Raw Queries
Can the query builder express this?
-- YES -> Use the query builder (portable, type-safe)
-- NO -> Does it use database-specific syntax?
-- YES -> Use db.raw() with parameterized bindings
-- NO -> Is it a performance-critical query needing exact SQL?
-- YES -> Use db.raw() with parameterized bindings
-- NO -> File an issue or use a subquery callback
Transaction vs No Transaction
Does this operation modify multiple tables?
-- YES -> Use db.transaction()
Does this read need snapshot isolation?
-- YES -> Use db.transaction({ isolationLevel: "repeatable read" })
Is this a single INSERT/UPDATE/DELETE?
-- YES -> No transaction needed (single statement is atomic)
.returning() Behavior by Database
Which database are you targeting?
-- PostgreSQL -> .returning() works, returns array of objects
-- MSSQL -> .returning() works, returns array of objects
-- SQLite 3.35+ -> .returning() works
-- MySQL -> .returning() is silently ignored, insert returns [insertId]
-- Oracle -> .returning() works
</decision_framework>
<red_flags>
RED FLAGS
High Priority Issues:
- String interpolation in
knex.raw()or.whereRaw()-- SQL injection vulnerability; always use?/??bindings - Creating multiple knex instances pointing at the same database -- leaks connection pools, exhausts database connections
- Not returning/awaiting the promise inside
knex.transaction()handler -- transaction connection hangs indefinitely - Missing
knex.destroy()on shutdown -- orphaned pool prevents process exit, connections leak - Running
knex.schemacalls in application code instead of migrations -- schema state becomes unpredictable across environments
Medium Priority Issues:
- Using
select("*")in production queries -- fetches unnecessary data, increases memory usage, breaks when columns are added - Forgetting
.returning()on PostgreSQL inserts -- returns empty array[]instead of inserted data - Not setting pool
min: 0-- defaultmin: 2keeps stale connections alive during low-traffic periods - Missing
WHEREclause on.update()or.del()-- updates/deletes ALL rows in the table - Using
KEYS-style patterns without pagination --db("table").select()with no limit loads entire table into memory
Common Mistakes:
- Expecting
.returning()to work on MySQL -- it is silently ignored; useinsertIdfrom the result instead - Using
.timeout()on the query without{ cancel: true }-- times out the Node.js side but the query keeps running on the database server - Running migrations with
disableTransactions: trueand assuming rollback works -- without a transaction, a failed migration leaves the database in a partial state - Assuming
knex.schema.hasTable()andknex.schema.createTable()are atomic -- another process can create the table between the check and the create - Calling
trx.commit()ortrx.rollback()AND returning a promise -- double-completion causes unpredictable behavior
Gotchas & Edge Cases:
knex.raw()returns a{ rows, fields }object on PostgreSQL but a flat array on MySQL -- access.rowsfor PostgreSQL or destructure accordingly.timestamps(true, true)createscreated_atandupdated_atwithdefaultTo(knex.fn.now())-- butupdated_atis NOT automatically updated on row changes; you must set it yourself in UPDATE queries or use a database trigger.first()returnsundefined(notnull) when no row matches -- check withif (!result)notif (result === null)knex.batchInsert()wraps all chunks in a single transaction by default -- if one chunk fails, all previous chunks are rolled back- Column names in
.returning()must match the database column names exactly (case-sensitive on PostgreSQL) .whereIn("id", [])with an empty array generatesWHERE 1 = 0(always false) -- Knex handles it but it can be surprising in logs- Migrations run in filename-sorted order -- ensure timestamps are consistent (don't mix manual names with generated timestamps)
knex.fn.now()is evaluated by the database server, not Node.js -- useful for consistency but means you can't mock it in tests without stubbing the query
</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 initialize the knex instance ONCE per application and reuse it -- creating multiple instances leaks connection pools)
(You MUST use parameterized bindings (? for values, ?? for identifiers) in ALL knex.raw() calls -- string interpolation causes SQL injection)
(You MUST return or await the promise inside knex.transaction() handlers -- failing to do so causes the transaction connection to hang indefinitely)
(You MUST call knex.destroy() on graceful shutdown -- orphaned pools prevent the Node.js process from exiting)
Failure to follow these rules will cause SQL injection vulnerabilities, connection pool exhaustion, hanging transactions, and zombie processes.
</critical_reminders>