RethinkDB is the first open-source scalable database built for realtime applications. It exposes a new database access model -- instead of polling for changes, the developer can tell the database to continuously push updated query results to applications in realtime. RethinkDB allows developers to build scalable realtime apps in a fraction of the time with less effort.
$ pip install rethinkdbNote: this package is the extracted driver of RethinkDB's original python driver.
The main difference with the previous driver (except the name of the package) is we are not importing RethinkDB as r. If you would like to use RethinkDB's python driver as a drop in replacement, you should do the following:
from rethinkdb import r
connection = r.connect(db='test')This driver supports blocking I/O (i.e. standard Python sockets) as well as non-blocking I/O through multiple async frameworks:
The following examples demonstrate how to use the driver in each mode.
The driver's default mode of operation is to use blocking I/O, i.e. standard Python sockets. This example shows how to create a table, populate with data, and get every document.
from rethinkdb import r
connection = r.connect(db='test')
r.table_create('marvel').run(connection)
marvel_heroes = r.table('marvel')
marvel_heroes.insert({
'id': 1,
'name': 'Iron Man',
'first_appearance': 'Tales of Suspense #39'
}).run(connection)
for hero in marvel_heroes.run(connection):
print(hero['name'])Asyncio mode is compatible with Python ≥ 3.5.
import asyncio
from rethinkdb import r
async def main():
async with await r.connect(db='test') as connection:
await r.table_create('marvel').run(connection)
marvel_heroes = r.table('marvel')
await marvel_heroes.insert({
'id': 1,
'name': 'Iron Man',
'first_appearance': 'Tales of Suspense #39'
}).run(connection)
# "async for" is supported in Python ≥ 3.6. In earlier versions, you should
# call "await cursor.next()" in a loop.
cursor = await marvel_heroes.run(connection)
async for hero in cursor:
print(hero['name'])
# The `with` block performs `await connection.close(noreply_wait=False)`.
r.set_loop_type('asyncio')
# "asyncio.run" was added in Python 3.7. In earlier versions, you
# might try asyncio.get_event_loop().run_until_complete(main()).
asyncio.run(main())import gevent
from rethinkdb import r
def main():
r.set_loop_type('gevent')
connection = r.connect(db='test')
r.table_create('marvel').run(connection)
marvel_heroes = r.table('marvel')
marvel_heroes.insert({
'id': 1,
'name': 'Iron Man',
'first_appearance': 'Tales of Suspense #39'
}).run(connection)
for hero in marvel_heroes.run(connection):
print(hero['name'])
gevent.joinall([gevent.spawn(main)])Tornado mode is compatible with Tornado < 5.0.0. Tornado 5 is not supported.
from rethinkdb import r
from tornado import gen
from tornado.ioloop import IOLoop
@gen.coroutine
def main():
r.set_loop_type('tornado')
connection = yield r.connect(db='test')
yield r.table_create('marvel').run(connection)
marvel_heroes = r.table('marvel')
yield marvel_heroes.insert({
'id': 1,
'name': 'Iron Man',
'first_appearance': 'Tales of Suspense #39'
}).run(connection)
cursor = yield marvel_heroes.run(connection)
while (yield cursor.fetch_next()):
hero = yield cursor.next()
print(hero['name'])
IOLoop.current().run_sync(main)from rethinkdb import r
import trio
async def main():
r.set_loop_type('trio')
async with trio.open_nursery() as nursery:
async with r.open(db='test', nursery=nursery) as conn:
await r.table_create('marvel').run(conn)
marvel_heroes = r.table('marvel')
await marvel_heroes.insert({
'id': 1,
'name': 'Iron Man',
'first_appearance': 'Tales of Suspense #39'
}).run(conn)
# "async for" is supported in Python ≥ 3.6. In earlier versions, you should
# call "await cursor.next()" in a loop.
cursor = await marvel_heroes.run(conn)
async with cursor:
async for hero in cursor:
print(hero['name'])
trio.run(main)The Trio mode also supports a database connection pool. You can modify the example above as follows:
db_pool = r.ConnectionPool(db='test', nursery=nursery)
async with db_pool.connection() as conn:
...
await db_pool.close()from rethinkdb import r
from twisted.internet import reactor, defer
@defer.inlineCallbacks
def main():
r.set_loop_type('twisted')
connection = yield r.connect(db='test')
yield r.table_create('marvel').run(connection)
marvel_heroes = r.table('marvel')
yield marvel_heroes.insert({
'id': 1,
'name': 'Iron Man',
'first_appearance': 'Tales of Suspense #39'
}).run(connection)
cursor = yield marvel_heroes.run(connection)
while (yield cursor.fetch_next()):
hero = yield cursor.next()
print(hero['name'])
main().addCallback(lambda d: print("stopping") or reactor.stop())
reactor.run()To help the migration from rethinkdb<2.4 we introduced a shortcut which can easily replace the old import rethinkdb as r import with from rethinkdb import r.
In the Makefile you can find three different test commands: test-unit, test-integration and test-remote. As RethinkDB has dropped the support of Windows, we would like to ensure that those of us who are using Windows for development can still contribute. Because of this, we support running integration tests against Digital Ocean Droplets as well.
Before you run any test, make sure that you install the requirements.
$ pip install -r requirements.txt
$ make prepare$ make test-unitTo run integration tests locally, make sure you intstalled RethinkDB
$ make test-integrationTo run the remote tests, you need to have a Digital Ocean account and an API key.
Remote test will create a new temporary SSH key and a Droplet for you until the tests are finished.
Available environment variables
| Variable name | Default value |
|---|---|
| DO_TOKEN | N/A |
| DO_SIZE | 512MB |
| DO_REGION | sfo2 |
$ pip install paramiko python-digitalocean
$ export DO_TOKEN=<YOUR_TOKEN>
$ make test-remoteHurray! You reached this section which means, that you would like to contribute. Please read our contributing guide lines and feel free to open a pull request.
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