ObjectDB

Persistent embedded document-oriented NoSQL database for Dart and Flutter. 100% Dart.

Check out objectdb_flutter for reactive store listeners.

CAUTION This plugin is still in development. Use at your own risk. If you notice any bugs you can create an issue on GitHub. You're also welcome to contribute using pull requests. Please open an issue before spending time on any pull request.

How to use
Flutter
Methods
- find
- insert
- update
- remove
Query
Operators
- Logical
- Comparison
- Modify
- Examples
Todo's

How to use

final path = Directory.current.path + '/my.db';

// create database instance and open
final db = ObjectDB(path);
db.open();

// insert document into database
db.insert({'name': {'first': 'Some', 'last': 'Body'}, 'age': 18, 'active': true);
db.insert({'name': {'first': 'Someone', 'last': 'Else'}, 'age': 25, 'active': false);

// update documents
db.update({Op.gte: {'age': 80}}, {'active': false});

// remove documents
db.remove({'active': false});

// search documents in database
var result = await db.find({'active': true, 'name.first': 'Some'});

// 'tidy up' the db file
db.tidy();

// close db
await db.close();

Flutter

Check out this project for flutter-examples.

Check out objectdb_flutter for reactive store listeners.

Methods

Future<ObjectDB> db.open([bool tidy = true]) opens database
Future<void> db.tidy() 'tidy up' the .db file
Future<void> db.close() closes database (should be awaited to ensure all queries have been executed)

find

Future<List<Map>> db.find(Map query) List with all matched documents
Future<Map> db.first(Map query) first matched document
Future<Map> db.last(Map query) last matched document

insert

Future<ObjectId> db.insert(Map document) insert single document
Future<List<ObjectId>> db.insertMany(List<Map> documents) insert many documents

update

Future<int> db.update(Map query, Map changes, [bool replace = false]) update documents that mach query with changes (optionally replace whole document)

remove

Future<int> db.remove(Map query) remove documents that match query

Query

// Match fields in subdocuments
{Op.gte: {
    'birthday.year': 18
}}

// or-operator
{Op.or:{
    'active': true,
    Op.inArray: {'group': ['admin', 'moderator']}
}}

// not equal to
{Op.not: {'active': false}}

NOTE Querying arrays is not supportet yet.

Operators

Logical

and (default operator on first level)
or
not

Comparison

lt, lte: less than, less than or equal
gt, gte: greater than, greater than or equal
inList, notInList: value in list, value not in list

Modify

set: set value
max, min: set max or min int value
increment, multiply: increment/multiply by
unset: unset key/value
rename: rename key
todo's: push

{Op.set: {'path.to.key': 'value'}} // set entry['path']['to']['key'] = 'value' (path will be created if not exists)
{Op.max: {'path.to.key': 200}} // set value 200 if value is greater than 200
{Op.min: {'path.to.key': 200}} // set value 200 if value is smaller than 200
{Op.increment: {'path.to.key': -5}} // increment value by negative 5
{Op.multiply: {'path.to.key': 2}} // multiply value by 2
{Op.unset: {'path.to.key': true}} // unset key/value at entry['path']['to']['key'] if exists
{Op.rename: {'path.to.key': 'new_key'}} // new value will be at entry['path']['to']['new_key']


db.update({
  'age': RegExp('[18-20]'),
  Op.gt: {'duration': 500},
}, {
  Op.max: {'stats.score': 100},
  Op.increment: {'stats.level': -5},
});

Examples

// query
var result = db.find({
    'active': true,
    Op.or: {
        Op.inList: {'state': ['Florida', 'Virginia', 'New Jersey']},
        Op.gte: {'age': 30},
    }
});

// same as
var match = (result['active'] == true && (['Florida', 'Virginia', 'New Jersey'].contains(result['state']) || result['age'] >= 30));

Todo's

License

See License

hetian9288 / objectdb