Querier

A querier is UQL’s abstraction over database drivers to dynamically generate queries for any given entity. It allows interaction with different databases in a consistent way.

Using a Querier

The recommended way to use a querier is pool.withQuerier(). It acquires a querier from the pool, runs your callback, and guarantees release — even if an error is thrown.

import { pool } from './uql.config.js';
import { User } from './shared/models/index.js';

const users = await pool.withQuerier(async (querier) =>
  querier.findMany(User, {
    $select: { id: true, name: true },
    $where: {
      $or: [
        { name: 'roger' },
        { creatorId: 1 }
      ]
    },
    $sort: { createdAt: 'desc' },
    $limit: 10
  })
);
// querier is automatically released here

This is especially useful when you want to release the connection before doing slow non-DB work (e.g. calling an external API or LLM), preventing connection pool starvation:

// Phase 1 — read from DB (connection held briefly)
const data = await pool.withQuerier((querier) =>
  querier.findOne(Resource, { $where: { id: resourceId } })
);

// Phase 2 — slow external call (no connection held)
const result = await callExternalApi(data);

// Phase 3 — write result back (connection held briefly)
await pool.withQuerier((querier) =>
  querier.updateOneById(Resource, resourceId, { result })
);

Manual Querier Management

For advanced scenarios where you need full control over the querier lifecycle, use pool.getQuerier(). Always release it in a finally block:

import { User } from './entities/index.js';
import { pool } from './uql.config.js';

const querier = await pool.getQuerier();

try {
  const users = await querier.findMany(User, {
    $select: { id: true, name: true },
    $limit: 10
  });
} finally {
  await querier.release(); // Essential for pool health
}

Available Methods

Method	Description
`findMany(Entity, query)`	Find multiple records matching the query.
`findManyAndCount(Entity, query)`	Find records and return `[rows, totalCount]`.
`findOne(Entity, query)`	Find a single record matching the query.
`findOneById(Entity, id, query?)`	Find a record by its primary key.
`count(Entity, query)`	Count records matching the query.
`aggregate(Entity, query)`	Run an aggregate query (`GROUP BY`, `HAVING`, etc.).
`insertOne(Entity, data)`	Insert a single record and return its ID.
`insertMany(Entity, data[])`	Insert multiple records and return their IDs.
`updateOneById(Entity, id, data)`	Update a record by its primary key.
`updateMany(Entity, query, data)`	Update multiple records matching the query.
`saveOne(Entity, data)`	Insert or update based on ID presence.
`saveMany(Entity, data[])`	Bulk insert or update based on ID presence.
`upsertOne(Entity, conflictPaths, data)`	Insert or update based on conflict paths.
`upsertMany(Entity, conflictPaths, data[])`	Bulk insert or update based on conflict paths.
`deleteOneById(Entity, id)`	Delete a record by its primary key.
`deleteMany(Entity, query)`	Delete multiple records matching the query.
`run(sql, values?)`	Execute raw SQL.
`transaction(callback, opts?)`	Run a transaction within a callback.
`beginTransaction(opts?)`	Start a transaction manually.
`commitTransaction()`	Commit the active transaction.
`rollbackTransaction()`	Roll back the active transaction.
`release()`	Return the connection to the pool.

Upsert Operations

Upsert (insert-or-update) resolves conflicts using conflict paths — the fields that define uniqueness. If a row with matching conflict path values already exists, it is updated; otherwise, a new row is inserted.

`upsertOne`

await querier.upsertOne(User, { email: true }, {
  email: 'roger@uql-orm.dev',
  name: 'Roger',
});

INSERT INTO "User" ("email", "name") VALUES ($1, $2)
ON CONFLICT ("email") DO UPDATE SET "name" = EXCLUDED."name"

`upsertMany`

Efficiently upsert multiple records in a single statement:

await querier.upsertMany(User, { email: true }, [
  { email: 'roger@uql-orm.dev', name: 'Roger' },
  { email: 'ana@uql-orm.dev', name: 'Ana' },
  { email: 'freddy@uql-orm.dev', name: 'Freddy' },
]);

INSERT INTO "User" ("email", "name") VALUES ($1, $2), ($3, $4), ($5, $6)
ON CONFLICT ("email") DO UPDATE SET "name" = EXCLUDED."name"

INSERT INTO `User` (`email`, `name`) VALUES (?, ?), (?, ?), (?, ?)
ON DUPLICATE KEY UPDATE `name` = VALUES(`name`)