objectdb 1.0.1 objectdb: ^1.0.1 copied to clipboard
Persistent embedded document-oriented NoSQL database for Dart and Flutter.
ObjectDB #
Persistent embedded document-oriented NoSQL database for Dart and Flutter. 100% Dart.
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 #
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.
Methods #
Future<ObjectDB> db.open([bool tidy = true])
opens databaseFuture<void> db.tidy()
'tidy up' the .db fileFuture<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 documentsFuture<Map> db.first(Map query)
first matched documentFuture<Map> db.last(Map query)
last matched document
insert #
Future<ObjectId> db.insert(Map document)
insert single documentFuture<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 machquery
withchanges
(optionally replace whole document)
remove #
Future<int> db.remove(Map query)
remove documents that matchquery
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 equalgt
,gte
: greater than, greater than or equalinList
,notInList
: value in list, value not in list
Modify #
set
: set valuemax
,min
: set max or min int valueincrement
,multiply
: increment/multiply byunset
: unset key/valuerename
: 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 #
- ✅ regex match
- ❌ encryption
- ❌ querying arrays
- ❌ benchmarks
- ❌ indexing
License #
See License