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May 24th 2020
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InfluxDB CircleCI

InfluxDB is an open source time series platform. This includes APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes, user dashboards, and visualizing and exploring the data and more. The master branch on this repo now represents InfluxDB 2.0, which includes functionality for Kapacitor (background processing) and Chronograf (the UI). If you are looking for the 1.x line of releases, there are branches for each of those. InfluxDB 1.8 will be the next (and likely last) release in the 1.x line and the working branch is here.

If you are looking for the InfluxDB 1.x Go Client, we’ve created a new repo for that. There will be a Go client for the 2.0 API coming very soon.

State of the Project

The latest InfluxDB 1.x is the stable release and recommended for production use. InfluxDB 2.0 (what’s in the master branch) is currently in the alpha stage. This means that it is not recommended for production usage. There may be breaking API changes, breaking changes in the Flux language, changes in the underlying storage format that will require you to delete all your data, and significant changes to the UI. The alpha is intended for feature exploration and gathering feedback on the available feature set. It should not be used for performance testing, benchmarks, or other stress tests.

Additional features will arrive during the weekly alpha updates. We will be cutting versioned releases every week starting in the first week of February. There will also be nightly builds.

Once we close on the final feature set of what will be in the first release of InfluxDB in the 2.x line, we will move into the beta phase. At that point, our intention is to avoid making breaking changes to the API or the Flux language. However, it still may be necessary to do so. We will do our best to keep this to an absolute minimum and clearly communicate ANY and ALL changes in this regard via the changelog.

The beta will still not be recommended for production usage. During the beta period we will focus on bug fixes, performance, and additive features (where time permits).

What you can expect Alpha and Beta Phases


Weekly alpha releases with incremental feature additions and changes to the user interface

Planned additions include: - Initial alpha release only supports a single user through the UI and the permission assigned via the security token are “full access”. This restriction will be relaxed delivering the ability to define multiple users and change the access permissions provided via the token. - Compatibility layer with 1.x including: 1.x HTTP Write API and HTTP Read API support for InfluxQL - Import Bulk Data from 1.x - convert TSM from 1.x to 2.x - Delete API w/ predicates for time (and other)


Releases every 2 - 3 weeks or as needed

Planned activities include: - Performance tuning, stability improvements, and fine tuning based on community feedback. - Finalization of supported client libraries starting with JavaScript and Go.

What is NOT planned?

  • Migration of users/security permissions from InfluxDB v1.x to 2.x. ACTION REQUIRED: Re-establish users and permissions within the new unified security model which now spans the underlying database and user interface.
  • Migration of Continuous Queries. ACTION REQUIRED: These will need to be re-implemented as Flux tasks.
  • Direct support by InfluxDB for CollectD, StatsD, Graphite, or UDP. ACTION REQUIRED: Leverage Telegraf 1.9+ along with the InfluxDB v2.0 output plugin to translate these protocols/formats.

Installing from Source

We have nightly and weekly versioned Docker images, Debian packages, RPM packages, and tarballs of InfluxDB 2.0 available at the InfluxData downloads page.

Building From Source

This project requires Go 1.11 and Go module support.

Set GO111MODULE=on or build the project outside of your GOPATH for it to succeed.

If you are getting an error loading module requirements error with bzr executable file not found in $PATH” on make, brew install bazaar (on macOS) before continuing. This error will also be returned if you have not installed npm. On macOS, brew install npm will install npm. As necessary, also install brew install protobuf.

For information about modules, please refer to the wiki.

A successful make run results in two binaries, with platform-dependent paths:

$ make
env GO111MODULE=on go build -tags 'assets ' -o bin/darwin/influx ./cmd/influx
env GO111MODULE=on go build -tags 'assets ' -o bin/darwin/influxd ./cmd/influxd

influxd is the InfluxDB service. influx is the CLI management tool.

Start the service. Logs to stdout by default:

$ bin/darwin/influxd

Getting Started

To write and query data or use the API in any way, you’ll need to first create a user, credentials, organization and bucket. Everything in InfluxDB 2.0 is organized under a concept of an organization. The API is designed to be multi-tenant. Buckets represent where you store time series data. They’re synonymous with what was previously in InfluxDB 1.x a database and retention policy.

The simplest way to get set up is to point your browser to http://localhost:9999 and go through the prompts.

Note: Port 9999 will be used during the alpha and beta phases of development of InfluxDB v2.0. This should allow a v2.0-alpha instance to be run alongside a v1.x instance without interfering on port 8086. InfluxDB v2.0 will thereafter continue to use 8086.

You can also get set up from the CLI using the subcommands influx user, influx auth, influx org and influx bucket, or do it all in one breath with influx setup:

$ bin/darwin/influx setup
Welcome to InfluxDB 2.0!
Please type your primary username: user

Please type your password: hunter2

Please type your password again: hunter2

Please type your primary organization name.: my-org

Please type your primary bucket name.: my-bucket

Please type your retention period in hours.
Or press ENTER for infinite.: 72

You have entered:
  Username:          user
  Organization:      my-org
  Bucket:            my-bucket
  Retention Period:  72 hrs
Confirm? (y/n): y

UserID                  Username        Organization    Bucket
033a3f2c5ccaa000        user            my-org          my-bucket
Your token has been stored in /Users/you/.influxdbv2/credentials

You may get into a development loop where influx setup becomes tedious. Some added flags can help:

$ bin/darwin/influx setup --username user --password hunter2 --org my-org --bucket my-bucket --retention 168 --token my-token --force

~/.influxdbv2/credentials contains your auth token. Most influx commands read the token from this file path by default.

You may need the organization ID and bucket ID later:

$ influx org find
ID                      Name
033a3f2c708aa000        my-org
$ influx bucket find
ID                      Name            Retention       Organization    OrganizationID
033a3f2c710aa000        my-bucket       72h0m0s         my-org          033a3f2c708aa000

Write to measurement m, with tag v=2, in bucket my-bucket, which belongs to organization my-org:

$ bin/darwin/influx write --org my-org --bucket my-bucket --precision s "m v=2 $(date +%s)"

Write the same point using curl:

curl --header "Authorization: Token $(cat ~/.influxdbv2/credentials)" --data-raw "m v=2 $(date +%s)" "http://localhost:9999/api/v2/write?org=033a3f2c708aa000&bucket=033a3f2c710aa000&precision=s"

Read that back with a simple Flux query (currently, the query subcommand does not have a --org flag):

$ bin/darwin/influx query --org-id 033a3f2c708aa000 'from(bucket:"my-bucket") |> range(start:-1h)'
Result: _result
Table: keys: [_start, _stop, _field, _measurement]
                   _start:time                      _stop:time           _field:string     _measurement:string                      _time:time                  _value:float
------------------------------  ------------------------------  ----------------------  ----------------------  ------------------------------  ----------------------------
2019-01-10T19:24:06.806244000Z  2019-01-10T20:24:06.806244000Z                       v                       m  2019-01-10T20:04:09.000000000Z                             2

Use the fancy REPL:

$ bin/darwin/influx repl --org my-org
> from(bucket:"my-bucket") |> range(start:-1h)
Result: _result
Table: keys: [_start, _stop, _field, _measurement]
                   _start:time                      _stop:time           _field:string     _measurement:string                      _time:time                  _value:float
------------------------------  ------------------------------  ----------------------  ----------------------  ------------------------------  ----------------------------
2019-01-10T19:36:23.361220000Z  2019-01-10T20:36:23.361220000Z                       v                       m  2019-01-10T20:04:09.000000000Z                             2

Introducing Flux

We recently announced Flux, the MIT-licensed data scripting language (previously named IFQL). The source for Flux is available on GitHub. Learn more about Flux from CTO Paul Dix’s presentation.

CI and Static Analysis


All pull requests will run through CI, which is currently hosted by Circle. Community contributors should be able to see the outcome of this process by looking at the checks on their PR. Please fix any issues to ensure a prompt review from members of the team.

The InfluxDB project is used internally in a number of proprietary InfluxData products, and as such, PRs and changes need to be tested internally. This can take some time, and is not really visible to community contributors.

Static Analysis

This project uses the following static analysis tools. Failure during the running of any of these tools results in a failed build. Generally, code must be adjusted to satisfy these tools, though there are exceptions.

  • go vet checks for Go code that should be considered incorrect.
  • go fmt checks that Go code is correctly formatted.
  • go mod tidy ensures that the source code and go.mod agree.
  • staticcheck checks for things like: unused code, code that can be simplified, code that is incorrect and code that will have performance issues.


If your PR fails staticcheck it is easy to dig into why it failed, and also to fix the problem. First, take a look at the error message in Circle under the staticcheck build section, e.g.,

tsdb/tsm1/encoding.gen.go:1445:24: func BooleanValues.assertOrdered is unused (U1000)
tsdb/tsm1/encoding.go:172:7: receiver name should not be an underscore, omit the name if it is unused (ST1006)

Next, go and take a look here for some clarification on the error code that you have received, e.g., U1000. The docs will tell you what’s wrong, and often what you need to do to fix the issue.

Generated Code

Sometimes generated code will contain unused code or occasionally that will fail a different check. staticcheck allows for entire files to be ignored, though it’s not ideal. A linter directive, in the form of a comment, must be placed within the generated file. This is problematic because it will be erased if the file is re-generated. Until a better solution comes about, below is the list of generated files that need an ignores comment. If you re-generate a file and find that staticcheck has failed, please see this list below for what you need to put back:

File Comment
query/promql/promql.go //lint:file-ignore SA6001 Ignore all unused code, it’s generated

End-to-End Tests

CI also runs end-to-end tests. These test the integration between the influx server the ui. You can run them locally in two steps:

  • Start the server in “testing mode” by running make run-e2e.
  • Run the tests with make e2e.