InfluxDB Python Examples

Tutorials - Basic

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
import argparse

from influxdb import InfluxDBClient


def main(host='localhost', port=8086):
    user = 'root'
    password = 'root'
    dbname = 'example'
    dbuser = 'smly'
    dbuser_password = 'my_secret_password'
    query = 'select value from cpu_load_short;'
    json_body = [
        {
            "measurement": "cpu_load_short",
            "tags": {
                "host": "server01",
                "region": "us-west"
            },
            "time": "2009-11-10T23:00:00Z",
            "fields": {
                "value": 0.64
            }
        }
    ]

    client = InfluxDBClient(host, port, user, password, dbname)

    print("Create database: " + dbname)
    client.create_database(dbname)

    print("Create a retention policy")
    client.create_retention_policy('awesome_policy', '3d', 3, default=True)

    print("Switch user: " + dbuser)
    client.switch_user(dbuser, dbuser_password)

    print("Write points: {0}".format(json_body))
    client.write_points(json_body)

    print("Queying data: " + query)
    result = client.query(query)

    print("Result: {0}".format(result))

    print("Switch user: " + user)
    client.switch_user(user, password)

    print("Drop database: " + dbname)
    client.drop_database(dbname)


def parse_args():
    parser = argparse.ArgumentParser(
        description='example code to play with InfluxDB')
    parser.add_argument('--host', type=str, required=False, default='localhost',
                        help='hostname of InfluxDB http API')
    parser.add_argument('--port', type=int, required=False, default=8086,
                        help='port of InfluxDB http API')
    return parser.parse_args()


if __name__ == '__main__':
    args = parse_args()
    main(host=args.host, port=args.port)

Tutorials - pandas

import argparse
import pandas as pd

from influxdb import DataFrameClient


def main(host='localhost', port=8086):
    user = 'root'
    password = 'root'
    dbname = 'example'

    client = DataFrameClient(host, port, user, password, dbname)

    print("Create pandas DataFrame")
    df = pd.DataFrame(data=list(range(30)),
                      index=pd.date_range(start='2014-11-16',
                                          periods=30, freq='H'))

    print("Create database: " + dbname)
    client.create_database(dbname)

    print("Write DataFrame")
    client.write_points(df, 'demo')

    print("Write DataFrame with Tags")
    client.write_points(df, 'demo', {'k1': 'v1', 'k2': 'v2'})

    print("Read DataFrame")
    client.query("select * from demo")

    print("Delete database: " + dbname)
    client.delete_database(dbname)


def parse_args():
    parser = argparse.ArgumentParser(
        description='example code to play with InfluxDB')
    parser.add_argument('--host', type=str, required=False,
                        default='localhost',
                        help='hostname of InfluxDB http API')
    parser.add_argument('--port', type=int, required=False, default=8086,
                        help='port of InfluxDB http API')
    return parser.parse_args()


if __name__ == '__main__':
    args = parse_args()
    main(host=args.host, port=args.port)

Tutorials - SeriesHelper

"""
Tutorial/Example how to use the class helper `SeriesHelper`
"""

from influxdb import InfluxDBClient
from influxdb import SeriesHelper

# InfluxDB connections settings
host = 'localhost'
port = 8086
user = 'root'
password = 'root'
dbname = 'mydb'

myclient = InfluxDBClient(host, port, user, password, dbname)

# Uncomment the following code if the database is not yet created
# myclient.create_database(dbname)
# myclient.create_retention_policy('awesome_policy', '3d', 3, default=True)


class MySeriesHelper(SeriesHelper):
    # Meta class stores time series helper configuration.
    class Meta:
        # The client should be an instance of InfluxDBClient.
        client = myclient
        # The series name must be a string. Add dependent fields/tags in curly brackets.
        series_name = 'events.stats.{server_name}'
        # Defines all the fields in this time series.
        fields = ['some_stat', 'other_stat']
        # Defines all the tags for the series.
        tags = ['server_name']
        # Defines the number of data points to store prior to writing on the wire.
        bulk_size = 5
        # autocommit must be set to True when using bulk_size
        autocommit = True


# The following will create *five* (immutable) data points.
# Since bulk_size is set to 5, upon the fifth construction call, *all* data
# points will be written on the wire via MySeriesHelper.Meta.client.
MySeriesHelper(server_name='us.east-1', some_stat=159, other_stat=10)
MySeriesHelper(server_name='us.east-1', some_stat=158, other_stat=20)
MySeriesHelper(server_name='us.east-1', some_stat=157, other_stat=30)
MySeriesHelper(server_name='us.east-1', some_stat=156, other_stat=40)
MySeriesHelper(server_name='us.east-1', some_stat=155, other_stat=50)

# To manually submit data points which are not yet written, call commit:
MySeriesHelper.commit()

# To inspect the JSON which will be written, call _json_body_():
MySeriesHelper._json_body_()