ae821f4e2d
This changes the compaction scheduling to better utilize the available cores that are free. Previously, a level was planned in its own goroutine and would kick off a number of compactions groups. The problem with this model was that if there were 4 groups, and 3 completed quickly, the planning would be blocked for that level until the last group finished. If the compactions at the prior level are running more quickly, a large backlog could accumlate. This now moves the planning to a single goroutine that plans each level in succession and starts as many groups as it can. When one group finishes, the planning will start the next group for the level. |
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| .github | ||
| .hooks | ||
| client | ||
| cmd | ||
| coordinator | ||
| etc | ||
| importer | ||
| influxql | ||
| internal | ||
| man | ||
| models | ||
| monitor | ||
| pkg | ||
| prometheus | ||
| query | ||
| releng | ||
| scripts | ||
| services | ||
| stress | ||
| tcp | ||
| tests | ||
| toml | ||
| tsdb | ||
| uuid | ||
| .dockerignore | ||
| .gitignore | ||
| .mention-bot | ||
| CHANGELOG.md | ||
| CODING_GUIDELINES.md | ||
| CONTRIBUTING.md | ||
| Dockerfile_build_ubuntu32 | ||
| Dockerfile_build_ubuntu64 | ||
| Dockerfile_build_ubuntu64_git | ||
| Dockerfile_build_ubuntu64_go19 | ||
| Dockerfile_test_ubuntu32 | ||
| Godeps | ||
| LICENSE | ||
| LICENSE_OF_DEPENDENCIES.md | ||
| Makefile | ||
| QUERIES.md | ||
| README.md | ||
| TODO.md | ||
| appveyor.yml | ||
| build.py | ||
| build.sh | ||
| circle-test.sh | ||
| circle.yml | ||
| errors.go | ||
| gobuild.sh | ||
| influxdb.go | ||
| nightly.sh | ||
| node.go | ||
| test.sh | ||
README.md
InfluxDB 
An Open-Source Time Series Database
InfluxDB is an open source time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics.
Features
- Built-in HTTP API so you don't have to write any server side code to get up and running.
- Data can be tagged, allowing very flexible querying.
- SQL-like query language.
- Simple to install and manage, and fast to get data in and out.
- It aims to answer queries in real-time. That means every data point is indexed as it comes in and is immediately available in queries that should return in < 100ms.
Installation
We recommend installing InfluxDB using one of the pre-built packages. Then start InfluxDB using:
service influxdb startif you have installed InfluxDB using an official Debian or RPM package.systemctl start influxdbif you have installed InfluxDB using an official Debian or RPM package, and are running a distro withsystemd. For example, Ubuntu 15 or later.$GOPATH/bin/influxdif you have built InfluxDB from source.
Getting Started
Create your first database
curl -XPOST 'http://localhost:8086/query' --data-urlencode "q=CREATE DATABASE mydb"
Insert some data
curl -XPOST 'http://localhost:8086/write?db=mydb' \
-d 'cpu,host=server01,region=uswest load=42 1434055562000000000'
curl -XPOST 'http://localhost:8086/write?db=mydb' \
-d 'cpu,host=server02,region=uswest load=78 1434055562000000000'
curl -XPOST 'http://localhost:8086/write?db=mydb' \
-d 'cpu,host=server03,region=useast load=15.4 1434055562000000000'
Query for the data
curl -G http://localhost:8086/query?pretty=true --data-urlencode "db=mydb" \
--data-urlencode "q=SELECT * FROM cpu WHERE host='server01' AND time < now() - 1d"
Analyze the data
curl -G http://localhost:8086/query?pretty=true --data-urlencode "db=mydb" \
--data-urlencode "q=SELECT mean(load) FROM cpu WHERE region='uswest'"
Documentation
- Read more about the design goals and motivations of the project.
- Follow the getting started guide to learn the basics in just a few minutes.
- Learn more about InfluxDB's key concepts.
Contributing
If you're feeling adventurous and want to contribute to InfluxDB, see our contributing doc for info on how to make feature requests, build from source, and run tests.
Looking for Support?
InfluxDB offers a number of services to help your project succeed. We offer Developer Support for organizations in active development, Managed Hosting to make it easy to move into production, and Enterprise Support for companies requiring the best response times, SLAs, and technical fixes. Visit our support page or contact sales@influxdb.com to learn how we can best help you succeed.