This library has been superseded by the more general (and just better) rest-query-engine.
An open source implementation for converting rsql to mongo queries for spring data. RSQL is a flexible and readable query language based off of apache's FIQL. Providing this adapater for mongo queries makes RSQL a natural choice for APIs that want to provide flexible querying and whose underlying datastore is mongodb.
@Autowired
private MongoOperations mongoOperations;
@Autowired
private MongoMappingContext mappingContext;
// build the converter. You can define a list of conversions instead, but using a spring conversion service and mongo mapping context
// works really quite well. Some applications will have a conversion service available from the application context that can include
// custom converters (iso -> date, etc)
ComparisonToCriteriaConverter converter = new ComparisonToCriteriaConverter(new DefaultConversionService(), mongoMappingContext);
// build the actual rsql string -> mongo criteria adapter
RsqlMongoAdapter adapter = new RsqlMongoAdapter(converter);
// convert the rsql to some criteria and add that criteria to the mongo query object
Query query = Query.query(adapter.getCriteria("firstName==joe", Person.class));
// make your query!
List<Person> personsNamedJoe = mongoOperations.find(query, Person.class);
# basic equality
firstName==joe -> { "firstName" : "joe"}
# basic inequality
firstName!=joe -> { "firstName" : { "$ne" : "joe"}}
# basic greater than
createDate=gt=300 -> { "createDate" : { "$gt" : 300}}
# basic greater than or equal
createDate=ge=300 -> { "createDate" : { "$gte" : 300}}
# basic less than
createDate=lt=300 -> { "createDate" : { "$lt" : 300}}
# basic less than or equal
createDate=le=300 -> { "createDate" : { "$lte" : 300}}
# basic element appears in list
firstName=in=(billy,bob,joel) -> { "firstName" : { "$in" : [ "billy" , "bob" , "joel"]}}
# basic element does not appear in list
firstName=out=(billy,bob,joel) -> { "firstName" : { "$nin" : [ "billy" , "bob" , "joel"]}}
# anding of two basic conditions
firstName!=joe;lastName==dummy -> { "$and" : [ { "firstName" : { "$ne" : "joe"}} , { "lastName" : "dummy"}]}
# oring of two basic conditions
firstName!=john,lastName==doe -> { "$or" : [ { "firstName" : { "$ne" : "john"}} , { "lastName" : "doe"}]}
# anding of two oring conditions of anding conditions
((firstName==john;lastName==doe),(firstName==aaron;lastName==carter));((age==21;height==90),(age==30;height==100)) ->
{
"$and":[
{
"$or":[
{
"$and":[
{
"firstName":"john"
},
{
"lastName":"doe"
}
]
},
{
"$and":[
{
"firstName":"aaron"
},
{
"lastName":"carter"
}
]
}
]
},
{
"$or":[
{
"$and":[
{
"age":21
},
{
"height":90
}
]
},
{
"$and":[
{
"age":30
},
{
"height":100
}
]
}
]
}
]
}
This project is licensed under MIT license.