djaq
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Contents:
Installation
Providing a Remote API
Settings
Query usage guide
API Reference
context(context: Dict) -> DjaqQuery
conditions(node: B) -> DjaqQuery
count() -> int
csv()
get(pk_value: any) -> Model
go()
distinct()
dicts()
json()
limit(limit: int) -> DjaqQuery
objs()
offset(offset: int) -> DjaqQuery
map(result_type: Union[callable, dataclasses.dataclass], data=None)
order_by() -> DjaqQuery
qs() -> QuerySet
rewind() -> DjaqQuery
schema -> Dict
schema_all(connection=None) -> Dict
sql() -> str
tuples()
update_object(pk_value: any, update_function: callable, data: Dict, save=True)
value()
where(node: Union[str, B]) -> DjaqQuery
Djaq Management Command
Result Formats
Pandas DataFrame
Conditions
Functions
Column expressions
Subqueries and
in
Clause
Order by
TRUE, FALSE, NULL, Empty
Datetimes
Count
Offset, Limit, Paging, Slicing
Schema
Comparing to Django QuerySets
Parameters and Validator
Query UI
Remote API
Remote Queries
Remote Updates
Remote Creates
Remote Deletes
Custom API
Limitations
Performance
Sample Bookshop Project
djaq
Limitations
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Limitations
The main limitation of Djaq at this time is that it only supports Postgresql.
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