crystal-pg
A Postgres driver for Crystal
usage
connecting
DB = PG.connect("postgres://...")typed querying
The preferred way to send queries is to send a tuple of the types you expect back along with the query. #rows will then be an array of tuples with each element properly casted. You can also use parameterized queries for injection-safe server-side interpolation.
result = DB.exec({Int32, String}, "select id, email from users")
result.fields #=> [PG::Result::Field, PG::Result::Field]
result.rows #=> [{1, "will@example.com"}], …]
result.to_hash #=> [{"field1" => value, …}, …]
result = DB.exec({String}, "select $1::text || ' ' || $2::text", ["hello", "world"])
result.rows #=> [{"hello world"}]Out of the box, crystal-pg supports 1-32 types. If you need more, you can reopen PG::Result and use the generate_gather_rows macro. If your field can return nil, you should use PG::Nilable{{Type}} for the type, which is a union of the type and Nil.
untyped querying
If you do not know the types beforehand you can omit them. However you will get back an array of arrays of PGValue. Since it is a union type of amost every type, you will probably have to manually cast later on in your program.
result = DB.exec("select * from table")
result.fields #=> [PG::Result::Field, …]
result.rows #=> [[value, …], …]
result.to_hash #=> [{"field1" => value, …}, …]
result = DB.exec("select $1::text || ' ' || $2::text", ["hello", "world"])
result.rows #=> [["hello world"]]Requirements
Crystal-pg is tested on Postgres versions 9.1 through 9.4. Since it is based on libpq, older versions probably also work but are not guaranteed.
Linking requires that the pg_config binary is in your $PATH and returns correct results for pg_config --includedir and pg_config --libdir.
Supported Datatypes
- text
- boolean
- int8, int2, int4
- float4, float8
- timestamptz, date, timestamp (but no one should use ts when tstz exists!)
- json and jsonb
Todo
- more datatypes (ranges, hstore, byeta)
- more info in postgres exceptions
- transaction help
- a lot more