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Todd Persen ff15388db8 Merge pull request #2121 from influxdb/fix-2015
Parser refactor
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README.md Don't split database-create doc command into 2 lines 2015-03-23 14:33:54 -07:00
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broker_test.go Integrate stateless messaging into influxdb package. 2015-03-09 15:47:41 -06:00
circle.yml Re-run test suite with -race 2015-03-30 11:35:24 -07:00
commands.go minor style change 2015-03-31 23:49:54 -04:00
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database.go refactor scanning & parsing of identifiers 2015-04-09 13:21:13 -04:00
diagnostics.go Start move to 64-bit ints 2015-04-07 12:58:44 -07:00
influxdb.go refactor scanning & parsing of identifiers 2015-04-09 13:21:13 -04:00
influxdb_test.go more cleanup on client.Point. testing for json.Marshal(client.Point) 2015-03-07 07:12:22 -07:00
internal_test.go Optimize marshalTags(). 2015-03-31 16:55:42 -06:00
metastore.go Ignore replayed commands on the metastore. 2015-04-02 14:43:25 -06:00
package.sh Fix up paths for run and data 2015-04-03 12:52:37 -07:00
server.go refactor scanning & parsing of identifiers 2015-04-09 13:21:13 -04:00
server_test.go Merge pull request #2121 from influxdb/fix-2015 2015-04-09 10:47:04 -07:00
shard.go Synchronize access to shard index 2015-03-30 13:50:17 -07:00
snapshot.go Add incremental backups. 2015-03-24 15:57:03 -06:00
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README.md

InfluxDB Circle CI

An Open-Source, Distributed, Time Series Database

InfluxDB v0.9.0 is now in the RC phase. If you're building a new project, please build against master or the most current RC instead of using v0.8.8.

InfluxDB is an open source distributed time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics.

Features

  • Built-in [HTTP API] (http://influxdb.com/docs/v0.9/concepts/reading_and_writing_data.html) so you don't have to write any server side code to get up and running.
  • Clustering is supported out of the box, so that you can scale horizontally to handle your data.
  • 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.

Getting Started

The following directions apply only to the 0.9.0 release or building from the source on master.

Building

You don't need to build the project to use it - you can use any of our pre-built packages to install InfluxDB. That's the recommended way to get it running. However, if you want to contribute to the core of InfluxDB, you'll need to build. For those adventurous enough, you can follow along on our docs.

Starting InfluxDB

  • service influxdb start if you have installed InfluxDB using an official Debian or RPM package.
  • $GOPATH/bin/influxd if you have built InfluxDB from source.

Creating your first database

curl -G 'http://localhost:8086/query' --data-urlencode "q=CREATE DATABASE mydb"

Insert some data

curl -H "Content-Type: application/json" http://localhost:8086/write -d '
{
    "database": "mydb",
    "retentionPolicy": "default",
    "points": [
        {
            "timestamp": "2014-11-10T23:00:00Z",
            "name": "cpu",
             "tags": {
                 "region":"uswest",
                 "host": "server01"
            },
             "fields":{
                 "value": 100
            }
         }
      ]
}'

Query for the data

curl -G http://localhost:8086/query?pretty=true \
--data-urlencode "db=mydb" --data-urlencode "q=SELECT * FROM cpu"