A PostgreSQL database client for Gleam, based on PGO.
import pog
import gleam/dynamic
import gleeunit/should
pub fn main() {
// Start a database connection pool.
// Typically you will want to create one pool for use in your program
let db =
pog.default_config()
|> pog.host("localhost")
|> pog.database("my_database")
|> pog.pool_size(15)
|> pog.connect
// An SQL statement to run. It takes one int as a parameter
let sql_query = "
select
name, age, colour, friends
from
cats
where
id = $1"
// This is the decoder for the value returned by the query
let row_decoder = dynamic.tuple4(
dynamic.string,
dynamic.int,
dynamic.string,
dynamic.list(dynamic.string),
)
// Run the query against the PostgreSQL database
// The int `1` is given as a parameter
let assert Ok(response) =
pog.query(sql_query)
|> pog.parameter(pog.int(1))
|> pog.returning(row_decoder)
|> pog.execute(db)
// And then do something with the returned results
response.count
|> should.equal(2)
response.rows
|> should.equal([
#("Nubi", 3, "black", ["Al", "Cutlass"]),
])
}
gleam add pog
Configuring a Postgres connection is done by using Config
type in pog
.
To facilitate connection, and to provide easy integration with the rest of the
Postgres ecosystem, pog
provides handling of
connection URI as defined by Postgres.
Shape of connection URI is postgresql://[username:password@][host:port][/dbname][?query]
.
Call pog.url_config
with your connection URI, and in case it's correct
against the Postgres standard, your Config
will be automatically generated!
Here's an example, using envoy
to read the
connection URI from the environment.
import envoy
import pog
/// Read the DATABASE_URL environment variable.
/// Generate the pog.Config from that database URL.
/// Finally, connect to database.
pub fn read_connection_uri() -> Result(pog.Connection, Nil) {
use database_url <- result.try(envoy.get("DATABASE_URL"))
use config <- result.try(pog.url_config(database_url))
Ok(pog.connect(config))
}
In Postgres, you can define a type json
or jsonb
. Such a type can be query
in SQL, but Postgres returns it a simple string, and accepts it as a simple string!
When writing or reading a JSON, you can simply use
pog.text(json.to_string(my_json))
and dynamic.string
to respectively write
and read them!
By default, pgo
will return every selected value from your query as a tuple.
In case you want a different output, you can activate rows_as_maps
in Config
.
Once activated, every returned rows will take the form of a Dict
.
Creating a connection pool with the pog.connect
function dynamically generates
an Erlang atom. Atoms are not garbage collected and only a certain number of
them can exist in an Erlang VM instance, and hitting this limit will result in
the VM crashing. Due to this limitation you should not dynamically open new
connection pools, instead create the pools you need when your application starts
and reuse them throughout the lifetime of your program.
Previously this library was named gleam_pgo
. This old name is deprecated and
all future development and support will happen here.