- 🚀 Fastest full featured PostgreSQL client for Node.js
- 🚯 1250 LOC - 0 dependencies
- 🏷 ES6 Tagged Template Strings at the core
- 🏄♀️ Simple surface API
Install
$ npm install postgres
Use
const postgres = require('postgres')
const sql = postgres({ ...options }) // will default to the same as psql
await sql`
select name, age from users
`
// > [{ name: 'Murray', age: 68 }, { name: 'Walter', age 78 }]
You can use either a postgres://
url connection string or the options to define your database connection properties. Options in the object will override any present in the url.
const sql = postgres('postgres://username:password@host:port/database', {
host : '', // Postgres ip address or domain name
port : 5432, // Postgres server port
path : '', // unix socket path (usually '/tmp')
database : '', // Name of database to connect to
username : '', // Username of database user
password : '', // Password of database user
ssl : false, // True, or options for tls.connect
max : 10, // Max number of connections
timeout : 0, // Idle connection timeout in seconds
types : [], // Array of custom types, see more below
onnotice : fn // Defaults to console.log
onparameter : fn // (key, value) when server param change
debug : fn // Is called with (connection, query, parameters)
transform : {
column : fn, // Transforms incoming column names
value : fn, // Transforms incoming row values
row : fn // Transforms entire rows
},
connection : {
application_name : 'postgres.js', // Default application_name
... // Other connection parameters
}
})
More info for the ssl
option can be found in the Node.js docs for tls connect options
A query will always return a Promise
which resolves to either an array [...]
or null
depending on the type of query. Destructuring is great to immediately access the first element.
const [new_user] = await sql`
insert into users (
name, age
) values (
'Murray', 68
)
returning *
`
// new_user = { user_id: 1, name: 'Murray', age: 68 }
Parameters are automatically inferred and handled by Postgres so that SQL injection isn't possible. No special handling is necessary, simply use JS tagged template literals as usual.
let search = 'Mur'
const users = await sql`
select
name,
age
from users
where
name like ${ search + '%' }
`
// users = [{ name: 'Murray', age: 68 }]
If you want to handle rows returned by a query one by one you can use .stream
which returns a promise that resolves once there are no more rows.
await sql`
select created_at, name from events
`.stream(row => {
// row = { created_at: '2019-11-22T14:22:00Z', name: 'connected' }
})
// No more rows
When you call listen, a dedicated connection will automatically be made to ensure that you receive notifications in real time. This connection will be used for any further calls to listen.
sql.listen('news', payload => {
const json = JSON.parse(payload)
console.log(json.this) // logs 'is'
})
Notify can be done as usual in sql, or by using the sql.notify
method.
sql.notify('news', JSON.stringify({ no: 'this', is: 'news' }))
Postgres.js has a safe, ergonomic way to aid you in writing queries. This makes it easier to write dynamic inserts, selects, updates and where queries.
const user = {
name: 'Murray',
age: 68
}
sql`
insert into users ${
sql(user)
}
`
Is translated into a safe query like this:
insert into users (name, age) values ($1, $2)
If you need to insert multiple rows at the same time it's also much faster to do it with a single insert
. Simply pass an array of objects to sql()
.
const users = [{
name: 'Murray',
age: 68,
garbage: 'ignore'
}, {
name: 'Walter',
age: 78
}]
sql`
insert into users ${
sql(users, 'name', 'age')
}
`
Postgres has a native array type which is similar to js arrays, but Postgres only allows the same type and shape for nested items. This method automatically infers the item type and translates js arrays into Postgres arrays.
const types = sql`
insert into types (
integers,
strings,
dates,
buffers,
multi
) values (
${ sql.array([1,2,3,4,5]) },
${ sql.array(['Hello', 'Postgres']) },
${ sql.array([new Date(), new Date(), new Date()]) },
${ sql.array([Buffer.from('Hello'), Buffer.from('Postgres')]) },
${ sql.array([[[1,2],[3,4]][[5,6],[7,8]]]) },
)
`
const body = { hello: 'postgres' }
const [{ json }] = await sql`
insert into json (
body
) values (
${ sql.json(body) }
)
returning body
`
// json = { hello: 'postgres' }
Using an sql
file for a query. The contents will be cached in memory so that the file is only read once.
sql.file(path.join(__dirname, 'query.sql'), [], {
cache: true // Default true - disable for single shot queries or memory reasons
})
Calling begin with a function will return a Promise which resolves with the returned value from the function. The function provides a single argument which is sql
with a context of the newly created transaction. BEGIN
is automatically called, and if the Promise fails ROLLBACK
will be called. If it succeeds COMMIT
will be called.
const [user, account] = await sql.begin(async sql => {
const [user] = await sql`
insert into users (
name
) values (
'Alice'
)
`
const [account] = await sql`
insert into accounts (
user_id
) values (
${ user.user_id }
)
`
return [user, account]
})
sql.begin(async sql => {
const [user] = await sql`
insert into users (
name
) values (
'Alice'
)
`
const [account] = (await sql.savepoint(sql =>
sql`
insert into accounts (
user_id
) values (
${ user.user_id }
)
`
).catch(err => {
// Account could not be created. ROLLBACK SAVEPOINT is called because we caught the rejection.
})) || []
return [user, account]
})
.then(([user, account])) => {
// great success - COMMIT succeeded
})
.catch(() => {
// not so good - ROLLBACK was called
})
Do note that you can often achieve the same result using WITH
queries (Common Table Expressions) instead of using transactions.
You can add ergonomic support for custom types, or simply pass an object with a { type, value }
signature that contains the Postgres oid
for the type and the correctly serialized value.
Adding Query helpers is the recommended approach which can be done like this:
const sql = sql({
types: {
rect: {
to : 1337,
from : [1337],
serialize : ({ x, y, width, height }) => [x, y, width, height],
parse : ([x, y, width, height]) => { x, y, width, height }
}
}
})
const [custom] = sql`
insert into rectangles (
name,
rect
) values (
'wat',
${ sql.types.rect({ x: 13, y: 37: width: 42, height: 80 }) }
)
returning *
`
// custom = { name: 'wat', rect: { x: 13, y: 37: width: 42, height: 80 } }
To ensure proper teardown and cleanup on server restarts use sql.end({ timeout: null })
before process.exit()
Calling sql.end()
will reject new queries and return a Promise which resolves when all queries are finished and the underlying connections are closed. If a timeout is provided any pending queries will be rejected once the timeout is reached and the connections will be destroyed.
Sample shutdown using Prexit
import prexit from 'prexit'
prexit(async () => {
await sql.end({ timeout: 5 })
await new Promise(r => server.close(r))
})
sql.unsafe
- Advanced unsafe use cases
If you know what you're doing, you can use unsafe
to pass any string you'd like to postgres. Please note that this can lead to sql injection if you're not careful.
sql.unsafe('select ' + danger + ' from users where id = ' + dragons)
Errors are all thrown to related queries and never globally. Errors coming from Postgres itself are always in the native Postgres format, and the same goes for any Node.js errors eg. coming from the underlying connection.
There are also the following errors specifically for this library.
X (X) is not supported
Whenever a message is received from Postgres which is not supported by this library. Feel free to file an issue if you think something is missing.
Max number of parameters (65534) exceeded
The postgres protocol doesn't allow more than 65534 (16bit) parameters. If you run into this issue there are various workarounds such as using sql([...])
to escape values instead of passing them as parameters.
Message type X not supported
When using SASL authentication the server responds with a signature at the end of the authentication flow which needs to match the one on the client. This is to avoid man in the middle attacks. If you receive this error the connection was cancelled because the server did not reply with the expected signature.
Query not called as a tagged template literal
Making queries has to be done using the sql function as a tagged template. This is to ensure parameters are serialized and passed to Postgres as query parameters with correct types and to avoid SQL injection.
Auth type X not implemented
Postgres supports many different authentication types. This one is not supported.
write CONNECTION_CLOSED host:port
This error is thrown if the connection was closed without an error. This should not happen during normal operation, so please create an issue if this was unexpected.
write CONNECTION_ENDED host:port
This error is thrown if the user has called sql.end()
and performed a query afterwards.
write CONNECTION_DESTROYED host:port
This error is thrown for any queries that were pending when the timeout to sql.end({ timeout: X })
was reached.
A really big thank you to @JAForbes who introduced me to Postgres and still holds my hand navigating all the great opportunities we have.
Thanks to @ACXgit for initial tests and dogfooding.
Also thanks to Ryan Dahl for letting me have the postgres
npm package name.