dqlx is a fully featured DGraph Schema and Query Builder for Go. It aims to simplify the interaction with the awesome Dgraph database allowing you to fluently compose any queries and mutations of any complexity. It also comes with a rich Schema builder to easily develop and maintain your Dgraph schema.
The project is getting close to its first official release
The DGraph query language is awesome! it is really powerful, and you can achieve a lot with it. However, as you start trying to add dynamicity (like any other declarative query language) you soon starts fiddling with a lot strings concatenations and can quickly get messy.
dqlx tries to simplify the interaction with DGraph by helping to construct Queries and mutations with a fluent API.
- Schema Builder (Types, Predicates, Indexes)
- Filtering - Connecting Filters (AND / OR)
- Nested Selection / Filters
Functions - Pagination
- Aggregation
- Sorting
- GroupBy
- Multiple Query Block
- Query Variables
- Values Variables
- Facets
- Mutations
You can find the documentation here: https://fenos.github.io/dqlx
go get github.com/fenos/dqlxfunc main() {
// Connect to Dgraph cluster
db, err := dqlx.Connect("localhost:9080")
if err != nil {
log.Fatal()
}
ctx := context.Background()
var animals []map[string]interface{}
// Query for animals
_, err = db.
QueryType("Animal").
Select(`
uid
name
species
age
`).
Filter(
dqlx.Eq{"species": "Cat"},
dqlx.Lt{"age": 5},
).
UnmarshalInto(&animals).
Execute(ctx)
if err != nil { panic(err) }
println(fmt.Sprintf("The animals are: %v", animals))
}MIT