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Description:

objectdb

ObjectDB #

Persistent embedded document-oriented NoSQL database for Dart and Flutter. 100% Dart.
Check out objectdb_flutter for reactive store listeners.
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
Storage types
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(FileSystemStorage(path));

// 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'});

// cleanup the db file
db.cleanup();

// close db
await db.close();
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Storage types #
// Universal (non-persistent)
import 'package:objectdb/src/objectdb_storage_in_memory.dart';
InMemoryStorage();

// Persist on filesystem (Flutter Mobile & Desktop)
import 'package:objectdb/src/objectdb_storage_filesystem.dart';
FileSystemStorage();

// Persist in IndexedDB (Flutter Web)
import 'package:objectdb/src/objectdb_storage_indexeddb.dart';
IndexedDBStorage(dbName);
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Flutter #
Check out the example project.
Methods #

Future<void> db.cleanup() cleanup 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.inList: {'group': ['admin', 'moderator']}
}}

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

{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},
});
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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));
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License #
See License