Skip to main content

InfluxDB Alchemy.

Project description

InfluxAlchemy

pypi python pytest coverage maintainability

Query InfluxDB using SQLAlchemy-style syntax

Installation

pip install influxalchemy

Usage

import influxdb
import influxalchemy

Define InfluxAlchemy Measurements

class Widgets(influxalchemy.Measurement):
    __measurement__ = 'widgets'


class Wombats(influxalchemy.Measurement):
    __measurement__ = 'wombats'

The class-attribute __measurement__ can be omitted and will default to the class name if absent.

Open InfluxAlchemy Connection

db = influxdb.DataFrameClient(database="example")
flux = influxalchemy.InfluxAlchemy(db)

Query InfluxDB

Query Single Measurement

# SELECT * FROM widgets;
flux.query(Widgets)

Query Ad Hoc Measurement

# SELECT * from /.*/;
flux.query(influxalchemy.Measurement.new("/.*/"))

Select Fields of Measurement

# SELECT tag1, field2 FROM widgets;
flux.query(Widgets.tag1, Widgets.field2)

Query Across Measurements

# SELECT * FROM /widgets|wombats/;
flux.query(Widgets | Wombats)

Filter Tags

# SELECT * FROM widgets WHERE tag1 = 'fizz';
flux.query(Widgets).filter(Widgets.tag1 == "fizz")

Filter Tags with 'like'

# SELECT * FROM widgets WHERE tag1 =~ /z$/;
flux.query(Widgets).filter(Widgets.tag1.like("/z$/"))

Chain Filters

clause1 = Widgets.tag1 == "fizz"
clause2 = Widgets.tag2 == "buzz"

# SELECT * FROM widgets WHERE tag1 = 'fizz' AND tag2 = 'buzz';
flux.query(Widgets).filter(clause1 & clause2)

# SELECT * FROM widgets WHERE tag1 = 'fizz' OR tag2 = 'buzz';
flux.query(Widgets).filter(clause1 | clause2)

Group By

# SELECT * FROM widgets GROUP BY time(1d);
flux.query(Widgets).group_by("time(1d)")

# SELECT * FROM widgets GROUP BY tag1;
flux.query(Widgets).group_by(Widgets.tag1)

Time

# SELECT * FROM widgets WHERE (time > now() - 7d);
flux.query(Widgets).filter(Widgets.time > "now() - 7d")

# SELECT * FROM widgets WHERE time >= '2016-01-01' AND time <= now() - 7d;
d = date(2016, 1, 1)
flux.query(Widgets).filter(Widgets.time.between(d, "now() - 7d"))

Note that naive datetime object will be assumed in UTC timezone.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

influxalchemy-0.3.0.tar.gz (11.5 kB view hashes)

Uploaded Source

Built Distribution

influxalchemy-0.3.0-py3-none-any.whl (7.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page