Client for Couchbase.
Note
This is the documentation for the 3.x version of the client. This is mostly compatible with the older version. Please refer to the release25 branch for the older version.
This only applies to building from source. If you are using a Windows installer then everything (other than the server) is already included. See below for windows snapshot releases.
Also note that these instructions apply to building from source. You can always get the latest supported release version from pypi.
If you have a recent version of pip, you may use the latest development version by issuing the following incantation
pip install git+git://github.com/couchbase/couchbase-python-client
- Couchbase Server (http://couchbase.com/download)
- You may need a C compiler and Python development files, unless a binary wheel is available for your platform. These are available for at least Python 3.7 on Windows, but we will endeavour to add more.
- Git, if a binary wheel is not available.
The following will compile the module locally; you can then test basic functionality including running the examples.
python setup.py build_ext --inplace
If you have a libcouchbase install already (in, for example, /opt/local/libcouchbase), you may build using it by setting PYCBC_BUILD=DISTUTILS and some add extra directives, like so:
export PYCBC_BUILD=DISTUTILS
python setup.py build_ext --inplace \
--library-dir /opt/local/libcouchbase/lib \
--include-dir /opt/local/libcouchbase/include
Or you can modify the environment CFLAGS
and LDFLAGS
variables.
Warning
If you do not intend to install this module, ensure you set the
PYTHONPATH
environment variable to this directory before running
any scripts depending on it. Failing to do so may result in your script
running against an older version of this module (if installed), or
throwing an exception stating that the couchbase
module could not
be found.
pip install .
Authentication is handled differently depending on what version of Couchbase Server you are using:
Each bucket can optionally have a password. You may omit the authenticator if you are only working with password-less buckets.
>>> from couchbase.cluster import Cluster
>>> from couchbase_core.cluster import ClassicAuthenticator
>>> cluster = Cluster('couchbase://localhost')
>>> cluster.authenticate(ClassicAuthenticator(buckets={'bucket-name': 'password'}))
>>> bucket = cluster.bucket('bucket-name')
Role-Based Access Control (RBAC) provides discrete username and passwords for an application that allow fine-grained control. The authenticator is always required.
>>> from couchbase.cluster import Cluster
>>> from couchbase_core.cluster import PasswordAuthenticator
>>> cluster = Cluster('couchbase://localhost')
>>> cluster.authenticate(PasswordAuthenticator('username', 'password'))
>>> bucket = cluster.bucket('bucket-name')
>>> collection = bucket.default_collection()
Here's an example code snippet which sets a key and then reads it
>>> collection.upsert("key", "value")
>>> res = collection.get("key")
>>> res.content
u'value'
>>>
You can also use views
>>> resultset = cluster.query("beer", "brewery_beers", limit=5)
>>> resultset
View<Design=beer, View=brewery_beers, Query=Query:'limit=5', Rows Fetched=0>
>>> for row in resultset: print row.key
...
[u'21st_amendment_brewery_cafe']
[u'21st_amendment_brewery_cafe', u'21st_amendment_brewery_cafe-21a_ipa']
[u'21st_amendment_brewery_cafe', u'21st_amendment_brewery_cafe-563_stout']
[u'21st_amendment_brewery_cafe', u'21st_amendment_brewery_cafe-amendment_pale_ale']
[u'21st_amendment_brewery_cafe', u'21st_amendment_brewery_cafe-bitter_american']
Warning
The async APIs below are from SDK2 and currently only available from the couchbase_v2 legacy support package. They will be updated to support SDK3 shortly. See PYCBC-590.*
NOTE: this API is from SDK2 and is currently only supports SDK2-style access. It will be updated to support SDK3 shortly.
The Python client now has support for the Twisted async network framework.
To use with Twisted, simply import txcouchbase.connection
instead of
couchbase.bucket
from twisted.internet import reactor
from txcouchbase.bucket import Bucket
cb = Bucket('couchbase://localhost/default')
def on_upsert(ret):
print "Set key. Result", ret
def on_get(ret):
print "Got key. Result", ret
reactor.stop()
cb.upsert("key", "value").addCallback(on_upsert)
cb.get("key").addCallback(on_get)
reactor.run()
# Output:
# Set key. Result OperationResult<RC=0x0, Key=key, CAS=0x9a78cf56c08c0500>
# Got key. Result ValueResult<RC=0x0, Key=key, Value=u'value', CAS=0x9a78cf56c08c0500, Flags=0x0>
The txcouchbase
API is identical to the couchbase
API, except that where
the synchronous API will block until it receives a result, the async API will
return a Deferred which will be called later with the result or an appropriate
error.
NOTE: this API is from SDK2 and is currently only supports SDK2-style access. It will be updated to support SDK3 shortly.
from gcouchbase.bucket import Bucket
conn = Bucket('couchbase://localhost/default')
print conn.upsert("foo", "bar")
print conn.get("foo")
The API functions exactly like the normal Bucket API, except that the implementation is significantly different.
This module also supports Python 3.4/3.5 asynchronous I/O. To use this functionality, import the couchbase.experimental module (since this functionality is considered experimental) and then import the acouchbase module. The acouchbase module offers an API similar to the synchronous client:
import asyncio
import couchbase.experimental
couchbase.experimental.enable()
from acouchbase.bucket import Bucket
async def write_and_read(key, value):
cb = Bucket('couchbase://10.0.0.31/default')
cb_coll = cb.default_collection()
await cb_coll.connect()
await cb_coll.upsert(key, value)
return await cb_coll.get(key)
loop = asyncio.get_event_loop()
rv = loop.run_until_complete(write_and_read('foo', 'bar'))
print(rv.value)
There are other examples in the examples directory. To run them from the source tree, do something like
PYTHONPATH=$PWD ./examples/bench.py -U couchbase://localhost/default
The documentation is using Sphinx and also needs the numpydoc Sphinx extension. In order for the documentation to build properly, the C extension must have been built, since there are embedded docstrings in there as well.
To build the documentation, go into the docs directory and run
make html
The HTML output can be found in docs/build/html/.
Alternatively, you can also build the documentation (after building the module itself) from the top-level directory:
python setup.py build_sphinx
Once built, the docs will be in in build/sphinx/html
For running the tests, you need the standard unittest module, shipped with Python. Additionally, the testresources package is required.
To run them, use either py.test, unittest or trial.
The tests need a running Couchbase instance. For this, a tests.ini file must be present, containing various connection parameters. An example of this file may be found in tests.ini.sample. You may copy this file to tests.ini and modify the values as needed.
To run the tests:
nosetests
If you found an issue, please file it in our JIRA. You can ask questions in our forums or in the #libcouchbase channel on freenode.
The official documentation can be consulted as well for general Couchbase concepts and offers a more didactic approach to using the SDK.
The Couchbase Python SDK is licensed under the Apache License 2.0.