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Buffering InfluxDB client and mixin for Tornado applications

Project description

Buffering InfluxDB client and mixin for Tornado applications

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Installation

sprockets-influxdb is available on the Python package index and is installable via pip:

pip install sprockets-influxdb

Documentation

Documentation is available at sprockets-influxdb.readthedocs.io.

Configuration

Configuration can be managed by specifying arguments when invoking sprockets_influxdb.install or by using environment variables.

For programmatic configuration, see the sprockets_influxdb.install documentation.

The following table details the environment variable configuration options.

Variable

Definition

Default

INFLUXDB_SCHEME

The URL request scheme for making HTTP requests

https

INFLUXDB_HOST

The InfluxDB server hostname

localhost

INFLUXDB_PORT

The InfluxDB server port

8086

INFLUXDB_USER

The InfluxDB server username

INFLUXDB_PASSWORD

The InfluxDB server password

INFLUXDB_ENABLED

Set to false to disable InfluxDB support

true

INFLUXDB_INTERVAL

How many milliseconds to wait before submitting measurements when the buffer has fewer than INFLUXDB_TRIGGER_SIZE measurements.

60000

INFLUXDB_MAX_BATCH_SIZE

Max # of measurements to submit in a batch

10000

INFLUXDB_MAX_BUFFER_SIZE | Limit of measurements in a buffer before new
measurements are discarded.

25000

INFLUXDB_SAMPLE_PROBABILITY | A value that is >= 0 and <= 1.0 that specifies
the probability that a batch will be submitted
to InfluxDB or dropped.

1.0

INFLUXDB_TRIGGER_SIZE

The number of metrics in the buffer to trigger the submission of a batch.

60000

INFLUXDB_TAG_HOSTNAME

Include the hostname as a tag in the measurement

true

Mixin Configuration

The sprockets_influxdb.InfluxDBMixin class will automatically tag the measurement if the ENVIRONMENT environment variable is set with the environment that the application is running in. Finally, if you are using the Sprockets Correlation Mixin, measurements will automatically be tagged with the correlation ID for a request.

Example

In the following example, a measurement is added to the example InfluxDB database with the measurement name of measurement-name. When the ~tornado.ioloop.IOLoop is started, the stop method is invoked, calling ~sprockets_influxdb.shutdown. ~sprockets_influxdb.shutdown ensures that all of the buffered metrics are written before the IOLoop is stopped.

import logging

import sprockets_influxdb as influxdb
from tornado import ioloop

logging.basicConfig(level=logging.INFO)

io_loop = ioloop.IOLoop.current()
influxdb.install(io_loop=io_loop)

measurement = influxdb.Measurement('example', 'measurement-name')
measurement.set_tag('foo', 'bar')
measurement.set_field('baz', 1.05)

influxdb.add_measurement(measurement)

def stop():
    influxdb.shutdown()
    io_loop.stop()

io_loop.add_callback(stop)
io_loop.start()

Requirements

Version History

Available at https://sprockets-influxdb.readthedocs.org/en/latest/history.html

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