See the equivalent InfluxDB v2.0 documentation: Sample data.
In order to explore the query language further, these instructions help you create a database, download and write data to that database within your InfluxDB installation. The sample data is then used and referenced in Data Exploration, Schema Exploration, and Functions.
Creating a database
If you’ve installed InfluxDB locally, the
influx command should be available via the command line.
influx will start the CLI and automatically connect to the local InfluxDB instance
(assuming you have already started the server with
service influxdb start or by running
The output should look like this:
$ influx -precision rfc3339 Connected to http://localhost:8086 version 1.9.5 InfluxDB shell 1.9.5 >
- The InfluxDB API runs on port
8086by default. Therefore,
influxwill connect to port
localhostby default. If you need to alter these defaults, run
-precisionargument specifies the format/precision of any returned timestamps. In the example above,
rfc3339tells InfluxDB to return timestamps in RFC3339 format (
The command line is now ready to take input in the form of the Influx Query Language (a.k.a InfluxQL) statements.
To exit the InfluxQL shell, type
exit and hit return.
A fresh install of InfluxDB has no databases (apart from the system
so creating one is our first task.
You can create a database with the
CREATE DATABASE <db-name> InfluxQL statement,
<db-name> is the name of the database you wish to create.
Names of databases can contain any unicode character as long as the string is double-quoted.
Names can also be left unquoted if they contain only ASCII letters,
digits, or underscores and do not begin with a digit.
Throughout the query language exploration, we’ll use the database name
> CREATE DATABASE NOAA_water_database > exit
Download and write the data to InfluxDB
From your terminal, download the text file that contains the data in line protocol format:
curl https://s3.amazonaws.com/noaa.water-database/NOAA_data.txt -o NOAA_data.txt
Write the data to InfluxDB via the
influx -import -path=NOAA_data.txt -precision=s -database=NOAA_water_database
$ influx -precision rfc3339 -database NOAA_water_database Connected to http://localhost:8086 version 1.9.5 InfluxDB shell 1.9.5 >
See all five measurements:
> SHOW measurements name: measurements ------------------ name average_temperature h2o_feet h2o_pH h2o_quality h2o_temperature
Count the number of non-null values of
> SELECT COUNT("water_level") FROM h2o_feet name: h2o_feet -------------- time count 1970-01-01T00:00:00Z 15258
Select the first five observations in the measurement h2o_feet:
> SELECT * FROM h2o_feet LIMIT 5 name: h2o_feet -------------- time level description location water_level 2015-08-18T00:00:00Z below 3 feet santa_monica 2.064 2015-08-18T00:00:00Z between 6 and 9 feet coyote_creek 8.12 2015-08-18T00:06:00Z between 6 and 9 feet coyote_creek 8.005 2015-08-18T00:06:00Z below 3 feet santa_monica 2.116 2015-08-18T00:12:00Z between 6 and 9 feet coyote_creek 7.887
Data sources and things to note
The sample data is publicly available data from the National Oceanic and Atmospheric Administration’s (NOAA) Center for Operational Oceanographic Products and Services. The data include 15,258 observations of water levels (ft) collected every six minutes at two stations (Santa Monica, CA (ID 9410840) and Coyote Creek, CA (ID 9414575)) over the period from August 18, 2015 through September 18, 2015.
Note that the measurements
h2o_temperature contain fictional data.
Those measurements serve to illuminate query functionality in Schema Exploration.
h2o_feet measurement is the only measurement that contains the NOAA data.
Please note that the
level description field isn’t part of the original NOAA data - we snuck it in there for the sake of having a field key with a special character and string field values.
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, the following resources are available:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support.