InfluxDB-Python is a client for interacting with InfluxDB. Maintained by @aviau (https://github.com/aviau).
Help needed: Development of this library is made by the community and help is needed. A co-maintainer would be welcome. To contribute, take a look at the issues list of simply contact @aviau.
InfluxDB is an open-source distributed time series database, find more about InfluxDB at http://influxdata.com/
InfluxDB 0.9 was released and it is the new recommended version. However, InfluxDB 0.8.x users may still use the legacy client by using from influxdb.influxdb08 import InfluxDBClient instead.
Install, upgrade and uninstall InfluxDB-Python with these commands:
$ pip install influxdb $ pip install --upgrade influxdb $ pip uninstall influxdb
On Debian/Ubuntu, you can install it with this command:
$ sudo apt-get install python-influxdb
The InfluxDB-Python distribution is supported and tested on Python 2.7, 3.3, 3.4, PyPy and PyPy3.
Note: Python 3.2 is currently untested. See .travis.yml.
Main dependency is:
- Requests: HTTP library for human beings (http://docs.python-requests.org/)
Additional dependencies are:
- pandas: for writing from and reading to DataFrames (http://pandas.pydata.org/)
- Sphinx: Tool to create and manage the documentation (http://sphinx-doc.org/)
- Nose: to auto-discover tests (http://nose.readthedocs.org/en/latest/)
- Mock: to mock tests (https://pypi.python.org/pypi/mock)
InfluxDB-Python documentation is available at http://influxdb-python.readthedocs.org
You will need Sphinx installed to generate the documentation.
The documentation can be generated by running:
$ tox -e docs
Generated documentation can be found in the docs/build/html/ directory.
Here's a basic example (for more see the examples directory):
$ python
>>> from influxdb import InfluxDBClient
>>> json_body = [
{
"measurement": "cpu_load_short",
"tags": {
"host": "server01",
"region": "us-west"
},
"time": "2009-11-10T23:00:00Z",
"fields": {
"value": 0.64
}
}
]
>>> client = InfluxDBClient('localhost', 8086, 'root', 'root', 'example')
>>> client.create_database('example')
>>> client.write_points(json_body)
>>> result = client.query('select value from cpu_load_short;')
>>> print("Result: {0}".format(result))
If you want to connect to a cluster, you could initialize a InfluxDBClusterClient:
$ python
>>> from influxdb import InfluxDBClusterClient
>>> cc = InfluxDBClusterClient(hosts = [('192.168.0.1', 8086),
('192.168.0.2', 8086),
('192.168.0.3', 8086)],
username='root',
password='root',
database='example')
InfluxDBClusterClient has the same methods as InfluxDBClient, it basically is a proxy to multiple InfluxDBClients.
Make sure you have tox by running the following:
$ pip install tox
To test influxdb-python with multiple version of Python, you can use Tox:
$ tox
For issues with, questions about, or feedback for InfluxDB, please look into our community page: http://influxdb.com/community/.
All development is done on Github. Use Issues to report problems or submit contributions.
The TODO/Roadmap can be found in Github bug tracker: https://github.com/influxdata/influxdb-python/issues
The source code is currently available on Github: https://github.com/influxdata/influxdb-python