YugoDB

融合(Yūgō) -> Fusion

The database engine to fuse them all. Relational/Document and Row/Column oriented storage at your fingertips, with support for cross-type joins.

Features

• Custom Query Language and Interpreter
• Vector materialization model for query execution
• Multi-file paging system and cache
• Ser/deser of relational and document row DBs
• Thousand row insertion
• DBMS operations through query string ( CreateDB, CreateTable, Insert)
• Insert document and specify relational schemas using json strings in query
• 1k entries test

In Progress

• B+ Tree range queries and ser/deser V+ Tree into pages
• Million row challenge and culling hotpaths
• Batched operations
• More extensive testing and refactor
• Hook up client to new changes, test and optimize concurrency features
• Database state serialization and WAL
• Index Loop Joins

Future Plans

• Optimization model, might require rewrite

Example Usage

        // Setup db and tables
        dbs.create_db('test_db');
        dbs.create_table('test_db' ,'test_table', 'DOCUMENT', 'ROW');

        dbs.create_table('test_db' ,'test_rtable', 'RELATIONAL', 'ROW', '{
            'name': 'string(50)',
            'balance': ['numeric', true],
            'pob': 'string',
            'active': 'boolean'
        }');

        //insert values
        dbs.insert('test_db', 'test_table', '{ 
                'name': 'John Doe',
                'age': 30.0,
                'city': 'New York',
                'address': {
                    'street': '123 Main St',
                    'zip': '10001'
                },
                'phone_numbers': [
                    '123-456-7890',
                    '987-654-3210'
                ]
        }');

        dbs.insert('test_db', 'test_table', '{
            'name': 'Jane Smith',
            'age': 25.0,
            'city': 'London',
            'address': {
                'street': '456 High St',
                'zip': 'SW1A 1AA'
            },
            'phone_numbers': [
                '020-1234-5678'
            ],
            'employment': {
                'company': 'Acme Inc.',
                'position': 'Software Engineer',
                'start_date': {
                'year': 2022.0,
                'month': 1.0
                }
            }
            }');

            dbs.insert('test_db', 'test_rtable', '{
                'name': 'Jane Smith',
                'balance': '2502034304.2332',
                'pob': 'London',
                'active': true
            }');

            dbs.insert('test_db', 'test_rtable', '{
                'name': 'John Doe',
                'balance': '450.2332',
                'pob': 'New York',
                'active': false
            }');
       
        //actual dataflow
        let x = dbs.test_db.test_table.offset(0);  
        let y = dbs.test_db.test_rtable.offset(0);  
        let z  = x LJOIN y ON name=name;
        z.limit(10);

More documentation will be provided on the execution model and internals soon!