RethinkDB python library. Provides connection manager and ORM framework (object-relational mapping, sometimes called ODM or OM for nosql databases).
Three main purposes:
- round-robin connections among database servers
- make sure connections close at proper time
- retry retry-able queries on failure
Not currently a connection pool, because it doesn’t keep any connections open. Should be possible to implement connection pooling without changing the API. However, testing suggests there would be no appreciable performance gain from connection pooling.
import doublethink rr = doublethink.Rethinker(['db0.foo.com', 'db0.foo.com:38015', 'db1.foo.com'], 'my_db') rr.table('mytable').insert({'foo':'bar','baz':2}).run() for result in rr.table('mytable'): print("result={}".format(result))
Simple yet powerful ORM system. Does not enforce a schema.
import doublethink rr = doublethink.Rethinker(['db0.foo.com', 'db0.foo.com:38015', 'db1.foo.com'], 'my_db') class MyTable(doublethink.Document): pass MyTable.table_create(rr) doc1 = MyTable(rr, {'animal': 'elephant', 'size': 'large'}) doc1.save() doc1_copy = MyTable.load(rr, doc1.id) doc1_copy.food = 'bread' doc1_copy.save() doc1.first_name = 'Frankworth' doc1.save() doc1.refresh()
Now also has a ServiceRegistry class, a lightweight solution for service discovery for distributed services. Maintains service info and status in a rethinkdb table called “services”.