csv-to-influxdb's Introduction

csv-to-influxdb

Simple python script that inserts data points read from a csv file into a influxdb database.

Usage

usage: csv-to-influxdb.py [-h] -i [INPUT] [-d [DELIMITER]] [-s [SERVER]]
                          [-u [USER]] [-p [PASSWORD]] --dbname [DBNAME]
                          [-m [METRICNAME]] [-tc [TIMECOLUMN]]
                          [-tf [TIMEFORMAT]] [--fieldcolumns [FIELDCOLUMNS]]
                          [--tagcolumns [TAGCOLUMNS]] [-g] [-b BATCHSIZE]

Csv to influxdb.

optional arguments:
  -h, --help            show this help message and exit
  -i [INPUT], --input [INPUT]
                        Input csv file.
  -d [DELIMITER], --delimiter [DELIMITER]
                        Csv delimiter. Default: ','.
  -s [SERVER], --server [SERVER]
                        Server address. Default: localhost:8086
  -u [USER], --user [USER]
                        User name.
  -p [PASSWORD], --password [PASSWORD]
                        Password.
  --dbname [DBNAME]     Database name.
  -m [METRICNAME], --metricname [METRICNAME]
                        Metric column name. Default: value
  -tc [TIMECOLUMN], --timecolumn [TIMECOLUMN]
                        Timestamp column name. Default: timestamp.
  -tf [TIMEFORMAT], --timeformat [TIMEFORMAT]
                        Timestamp format. Default: '%Y-%m-%d %H:%M:%S' e.g.:
                        1970-01-01 00:00:00
  --fieldcolumns [FIELDCOLUMNS]
                        List of csv columns to use as fields, separated by
                        comma, e.g.: value1,value2. Default: value
  --tagcolumns [TAGCOLUMNS]
                        List of csv columns to use as tags, separated by
                        comma, e.g.: host,data_center. Default: host
  -g, --gzip            Compress before sending to influxdb.
  -b BATCHSIZE, --batchsize BATCHSIZE
                        Batch size. Default: 5000.

Example

Considering the csv file:

timestamp,value,computer
1970-01-01 00:00:00,51.374894,0
1970-01-01 00:00:01,74.562764,1
1970-01-01 00:00:02,17.833757,2
1970-01-01 00:00:03,40.125102,0
1970-01-01 00:00:04,88.160817,1
1970-01-01 00:00:05,28.401695,2
1970-01-01 00:00:06,98.670792,3
1970-01-01 00:00:07,69.532011,0
1970-01-01 00:00:08,39.198964,0

The following command will insert the file into a influxdb database:

python csv-to-influxdb.py --dbname test --input data.csv --tagcolumns computer --fieldcolumns value

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