Influxdb hassio setup

GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. InfluxDB is an open source time series database optimized for high-write-volume. It's useful for recording metrics, sensor data, events, and performing analytics.

Which gives you a nice InfluxDB admin interface for managing your users, databases, data retention settings, and lets you peek inside the database using the Data Explorer. The installation of this add-on is pretty straightforward and not different in comparison to installing any other Home Assistant add-on. Note : Remember to restart the add-on when the configuration is changed. Note : This is just an example, don't copy and paste it! Create your own! Possible values are:. Please note that each level automatically includes log messages from a more severe level, e.

Set it true to enable it, false otherwise. This allows the setting of Environment Variables to control InfluxDB configuration as documented at:. Note : Changing these options can possibly cause issues with you instance. Adding this option to the add-on configuration allows you to disable authentication on the Web Terminal by setting it to true and leaving the username and password empty.

The influxdb integration of Home Assistant makes it possible to transfer all state changes to an InfluxDB database. Now we've got this in place, add the following snippet to your Home Assistant configuration.

You should now see the data flowing into InfluxDB by visiting the web-interface and using the Data Explorer. This repository keeps a change log using GitHub's releases functionality. The format of the log is based on Keep a Changelog. In a nutshell, the version will be incremented based on the following:. You could also open an issue here GitHub. This is an active open-source project. We are always open to people who want to use the code or contribute to it.

We have set up a separate document containing our contribution guidelines.Add the following snippet to your HTML:. In this post, we learn how to use InfluxDB for long term sensor data storage and we use Grafana for data analysis. Read up about this project on. This is part of the home automation series where we learn how to set up and use Home Assistant so all this will be done using Hassio.

Please watch the video above as it goes into the details of setting everything up. It is also much easier to follow everything through and see how it all integrates together using video. This written post will only contain the important bits. In order to log and analyse data, we first need some sensor nodes so make sure you have added some to home assistant.

Grafana vs Kibana - Beautiful data graphs and log analysis systems

Once we have the sensor nodes in place, we need to start storing their values to InfluxDB. First, we need to install it. This can be done by heading to the add-on store, searching for "InfluxDB" and then clicking the install button. This step will take a minute or two so be sure to give it some time. Before we can start the add-on, we need to scroll down to the config section and disable SSL by replacing "true" with "false". Save the config and you can then start the add-on.

Optionally, you can also enable the "Show in sidebar" option for easier access. The add-on will take a bit of time to start so give it some time. Alternatively, you can scroll down to check the logs and wait for the "Starting Nginx" message to appear which will signify that the add-on has started. Start by creating a database with the name "homeassistant".

Then create a new user with the name and password as "homeassistant". Be sure to give it all permissions before moving further. Now that we have InfluxDB setup, we need to update the Home Assistant configuration so that the two can communicate with each other. This can be done by updating the configuration. Head over to the add-on store and install configurator. Use the folder icon in the top-left corner to open the configuration. Once that is done, restart Home Assistant.

Once it is back up again, open up InfluxDB and you should now be able to see the sensor data.

Sensor Logging Using InfluxDB, Grafana & Hassio

Now that InfluxDB has been configured, we need to install Grafana. This can also be installed using the add-on store. Once installed, be sure to disable SSL like before and then start the add-on. Give it a few minutes to start. Grafana needs to access the data from InfluxDB so it is a good idea to open InfluxDB and create a new user as we did in the previous step.

I'm assuming the username and password is "grafana". Enter the following URL as the host:. Then, enter the database name which is "homeassistant" along with the username and password we just created. This completes the setup process. Grafana uses something called dashboards which consists of panels.

influxdb hassio setup

These panels can be charts, graphs and so on. I'd recommend watching the video to learn how to create some basic charts. You can obviously create much more detailed dashboards to represent your data and it is too vast a topic to cover in this post. Please do consider subscribing to our YouTube channel to help support videos and posts like these:.Installation of the InfluxDB package may require root or administrator privileges in order to complete successfully.

In addition to the ports above, InfluxDB also offers multiple plugins that may require custom ports. For instructions on how to install the Debian package from a file, please see the downloads page. Debian and Ubuntu users can install the latest stable version of InfluxDB using the apt-get package manager.

For instructions on how to install the RPM package from a file, please see the downloads page. Once repository is added to the yum configuration, install and start the InfluxDB service by running:. Users of macOS Once brew is installed, you can install InfluxDB by running:. For added security, follow these steps to verify the signature of your InfluxDB download with gpg. Most operating systems include the gpg command by default. If gpg is not available, see the GnuPG homepage for installation instructions.

Download the signature file for the release by adding. For example:. The system has internal defaults for every configuration file setting. View the default configuration settings with the influxd config command. Any uncommented settings in the local configuration file override the internal defaults. Note that the local configuration file does not need to include every configuration setting. See the Configuration documentation for more information.

Make sure the directories in which data and the write ahead log WAL are stored are writable for the user running the influxd service.

Note: If the data and WAL directories are not writable, the influxd service will not start. Information about data and wal directory paths is available in the Data settings section of the Configuring InfluxDB documentation.

Depending on your load, each volume should have around 1k-3k provisioned IOPS. This example assumes that you are using two SSD volumes and that you have mounted them appropriately. For more information on how to do that see the Amazon documentation on how to Add a Volume to Your Instance.

When using non-standard directories for InfluxDB data and configurations, also be sure to set filesystem permissions correctly:. For InfluxDB 1. To do this, run the following script in your influxdb directory:.Maintained by : InfluxData. Supported architectures : more info amd64arm32v7arm64v8. InfluxDB is a time series database built from the ground up to handle high write and query loads. InfluxDB is meant to be used as a backing store for any use case involving large amounts of timestamped data, including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics.

A typical invocation of the container might be:. The administrator interface is not automatically exposed when using docker run -P and is disabled by default. The adminstrator interface requires that the web browser have access to InfluxDB on the same port in the container as from the web browser.

Since -P exposes the HTTP port to the host on a random port, the administrator interface is not compatible with this setting. InfluxDB can be either configured from a config file or using environment variables. To mount a configuration file and use it with the server, you can use this command:. Then start the InfluxDB container. If the variable isn't in a section, then omit that part.

Find more about configuring InfluxDB here. InfluxDB supports the Graphite line protocol, but the service and ports are not exposed by default. To run InfluxDB with Graphite support enabled, you can either use a configuration file or set the appropriate environment variables. Run InfluxDB with the default Graphite configuration:. In order to take advantage of graphite templates, you should use a configuration file by outputting a default configuration file using the steps above and modifying the [[graphite]] section.

The administrator interface is deprecated as of 1. It is disabled by default. If needed, it can still be enabled by setting an environment variable like below:. Read more about this in the official documentation. The InfluxDB image contains some extra functionality for initializing a database.

These options are not suggested for production, but are quite useful when running standalone instances for testing. The database initialization script will only be called when running influxd. It will not be executed when running any other program.

influxdb hassio setup

The InfluxDB image uses several environment variables to automatically configure certain parts of the server. They may significantly aid you in using this image. Enables authentication. If this is unset, a random password is generated and printed to standard out.

The name of a user to be created with no privileges. If the Docker image finds any files with the extensions. The order they are executed in is determined by the shell. This is usually alphabetical order. It takes the same parameters as the influxd run command.Note: Authentication and authorization should not be relied upon to prevent access and protect data from malicious actors.

If additional security or compliance features are desired, InfluxDB should be run behind a third-party service. If InfluxDB is being deployed on a publicly accessible endpoint, we strongly recommend authentication be enabled.

Otherwise the data will be publicly available to any unauthenticated user. Plugins do not currently have the ability to authenticate requests and service endpoints for example, Graphite, collectd, etc. Note: If you enable authentication and have no users, InfluxDB will not enforce authentication and will only accept the query that creates a new admin user.

Enable authentication by setting the auth-enabled option to true in the [http] section of the configuration file:. If pprof-enabled is set to trueset pprof-auth-enabled and ping-auth-enabled to true to require authentication on profiling and ping endpoints.

Now InfluxDB will check user credentials on every request and will only process requests that have valid credentials for an existing user. If you authenticate with both Basic Authentication and the URL query parameters, the user credentials specified in the query parameters take precedence.

The queries in the following examples assume that the user is an admin user. See the section on authorization for the different user types, their privileges, and more on user management. There are three options for authenticating with the CLI.

Installing InfluxDB OSS

Passing JWT tokens in each request is a more secure alternative to using passwords. By default, shared-secret is set to an empty string, in which case no JWT authentication takes place.

Add a custom shared secret in your InfluxDB configuration file. The longer the secret string, the more secure it is:. Use an authentication service to generate a secure token using your InfluxDB username, an expiration time, and your shared secret. For increased security, keep token expiration periods short.

Encode the payload using your shared secret. The generated token should look similar to the following:. Use the Bearer authorization scheme:. Authenticating Telegraf requests to an InfluxDB instance with authentication enabled requires some additional steps. By default, authentication is disabled, all credentials are silently ignored, and all users have all privileges. See the database management and continuous queries pages for a complete discussion of the commands listed above.

See below for a complete discussion of the user management commands.

A new non-admin user has no access to any database until they are specifically granted privileges to a database by an admin user. If any values change the database will return a duplicate user error. See GitHub Issue for details. For passwords that include a single quote or a newline character, escape the single quote or newline character with a backslash both when creating the password and when submitting authentication requests.

Note: The password string must be wrapped in single quotes. Do not include the single quotes when authenticating requests. Requests with no authentication credentials or incorrect credentials yield the HTTP Unauthorized response. InfluxDB v1. This page documents an earlier version of InfluxDB, which is no longer actively developed. Only unexpired tokens will successfully authenticate. Be sure your token has not expired.

If not provided, will default to 5s.And when this happens, some questions come to my mind:. Measuring is important, we know that as developers, otherwise how could we get accurate answers and take the best decisions without data? Since both are giving me different data, how can I know which is the most accurate one? So I called my parents for help, and they lent me a few mercury thermometers. The 2 mercury thermometers were displaying exactly the same temperature, so I assumed that they were accurate.

After some research, it turned out that, despite its impressive appearance, the DHT22 is actually not a very good sensor. The BME is better, but has its own problems too, as it suffers from self-heating in its default configuration sampling data continuously. Hopefully, you can write code to change the sampling rate and make the sensor return to sleep mode when the measurement is finished.

Instead of fetching data every second, I decided to fetch once per minute, with the sensor returning to sleep mode immediately after. The temperature it gave me then was very close to the one of the mercury thermometers.

To see if this works, you can use MQTT. You can also install the MQTT Dash application on your Android device to see temperature data directly on your smartphone:. Complete implementation is available here. When a message is published, values are automatically persisted to InfluxDB. Now, we need a tool to show these data over the time in a graph. Grafana is an open-source, general purpose dashboard and graph composer. We will install it on the Raspberry Pi:.

To automate running containers, we can create a docker compose file. See the docker-compose. However, I would like to also have the outside temperature and humidity data. While designed for an indoor usage, it supports temperatures from This device sends data using Bluetooth LE. The Mijia device requires a single AAA battery. I use rechargeable batteries and it lasts more than a month. You can find the complete source code on github.

Actually, the more I have data and the more curious I am. Size of the influxDB after a month: 30MB. A future iteration would be to try to do a similar project using exclusively online services, only keeping sensors in the house, getting rid of the Raspberry Pi. And when this happens, some questions come to my mind: Is it really cold, or is it just me? We can then create a similar graph for humidity data.

Docker compose To automate running containers, we can create a docker compose file. Conclusion You can find the complete source code on github.In this post, we learn how to use InfluxDB for long term sensor data storage and we use Grafana for data analysis. This is part of the home automation series where we learn how to set up and use Home Assistant so all this will be done using Hassio.

Please watch the video above as it goes into the details of setting everything up.

influxdb hassio setup

It is also much easier to follow everything through and see how it all integrates together using video. This written post will only contain the important bits. Example Node Wiring. Example Nodes. In order to log and analyse data, we first need some sensor nodes so make sure you have added some to home assistant. Once we have the sensor nodes in place, we need to start storing their values to InfluxDB.

First, we need to install it. This step will take a minute or two so be sure to give it some time. Save the config and you can then start the add-on. The add-on will take a bit of time to start so give it some time. Be sure to give it all permissions before moving further. Now that we have InfluxDB setup, we need to update the Home Assistant configuration so that the two can communicate with each other.

This can be done by updating the configuration. Head over to the add-on store and install configurator. Use the folder icon in the top-left corner to open the configuration. Once that is done, restart Home Assistant. Once it is back up again, open up InfluxDB and you should now be able to see the sensor data. Now that InfluxDB has been configured, we need to install Grafana.

This can also be installed using the add-on store. Once installed, be sure to disable SSL like before and then start the add-on. Give it a few minutes to start. Grafana needs to access the data from InfluxDB so it is a good idea to open InfluxDB and create a new user as we did in the previous step. Enter the following URL as the host:.

This completes the setup process. Grafana uses something called dashboards which consists of panels. These panels can be charts, graphs and so on. You can obviously create much more detailed dashboards to represent your data and it is too vast a topic to cover in this post.

Please do consider subscribing to our YouTube channel to help support videos and posts like these. Thank you for reading.


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