作為時序列數據庫中表現很好的InfluxDB，已經被越來越多的項目應用到實際當中。比如資源的監控來說，Cadvisor監控到某一斷面某一節點整體資源的狀況，而且能夠不斷地從畫面中看到不斷變化的信息，但是這些數據如何持久化的保存是一個問題，而InfluxDB正好可以滿足這個需求，其簡單好用，耦合度小，容易集成到整體的系統之中。

Docker pull

[root@host31 ~]# docker pull docker.io/influxdb

Docker run

使用這種方式便於觀察InfluxDB的HTTP API如何具體執行，並且可以看到更加詳細的一些信息。
docker run -p 8083:8083 -p 8086:8086 influxdb

[root@host31 ~]# docker run -p 8083:8083 -p 8086:8086 influxdb

 8888888           .d888 888                   8888888b.  888888b.
   888            d88P"  888                   888  "Y88b 888  "88b
   888            888    888                   888    888 888  .88P
   888   88888b.  888888 888 888  888 888  888 888    888 8888888K.
   888   888 "88b 888    888 888  888  Y8bd8P‘ 888    888 888  "Y88b
   888   888  888 888    888 888  888   X88K   888    888 888    888
   888   888  888 888    888 Y88b 888 .d8""8b. 888  .d88P 888   d88P
 8888888 888  888 888    888  "Y88888 888  888 8888888P"  8888888P"

[run] 2016/08/02 22:19:47 InfluxDB starting, version 0.13.0, branch 0.13, commit
 
 e57fb88a051ee40fd9277094345fbd47bb4783ce
[run] 2016/08/02 22:19:47 Go version go1.6.2, GOMAXPROCS set to 1
[run] 2016/08/02 22:19:47 Using configuration at: /etc/influxdb/influxdb.conf
[store] 2016/08/02 22:19:47 Using data dir: /var/lib/influxdb/data
[subscriber] 2016/08/02 22:19:47 opened service
[monitor] 2016/08/02 22:19:47 Starting monitor system
[monitor] 2016
 
/08/02 22:19:47 ‘build‘ registered for diagnostics monitoring
[monitor] 2016/08/02 22:19:47 ‘runtime‘ registered for diagnostics monitoring
[monitor] 2016/08/02 22:19:47 ‘network‘ registered for diagnostics monitoring
[monitor] 2016/08/02 22:19:47 ‘system‘ registered for diagnostics monitoring
[cluster] 2016/08/02 22:19:47 Starting cluster service
[shard-precreation] 2016/08/02 22:19:47 Starting precreation service with check interval of 10m0s, advance period of 30m0s
[snapshot] 2016/08/02 22:19:47 Starting snapshot service
[copier] 2016/08/02 22:19:47 Starting copier service
[admin] 2016/08/02 22:19:47 Starting admin service
[admin] 2016/08/02 22:19:47 Listening on HTTP: [::]:8083
[continuous_querier] 2016/08/02 22:19:47 Starting continuous query service
[httpd] 2016/08/02 22:19:47 Starting HTTP service
[httpd] 2016/08/02 22:19:47 Authentication enabled: false
[httpd] 2016/08/02 22:19:47 Listening on HTTP: [::]:8086
[retention] 2016/08/02 22:19:47 Starting retention policy enforcement service with check interval of 30m0s
[run] 2016/08/02 22:19:47 Listening for signals
[monitor] 2016/08/02 22:19:47 Storing statistics in database ‘_internal‘ retention policy ‘monitor‘, at interval 10s
2016/08/02 22:19:47 Sending anonymous usage statistics to m.influxdb.com

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畫面確認

Influxdb的HTTP API

創建DB

[root@host31 ~]# curl -i -XPOST http://192.168.32.31:8086/query --data-urlencode "q=CREATE DATABASE mydb"
HTTP/1.1 200 OK
Connection: close
Content-Type: application/json
Request-Id: 42a1f30c-5900-11e6-8003-000000000000
X-Influxdb-Version: 0.13.0
Date: Tue, 02 Aug 2016 22:27:13 GMT
Content-Length: 16

{"results":[{}]}[root@host31 ~]#

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寫入數據

[root@host31 ~]# curl -i -XPOST ‘http://192.168.32.31:8086/write?db=mydb‘ --data-binary ‘cpu_load_short,host=server01,region=us-west value=0.64 1434055562000000000‘
HTTP/1.1 204 No Content
Request-Id: c2fdbba7-5900-11e6-8006-000000000000
X-Influxdb-Version: 0.13.0
Date: Tue, 02 Aug 2016 22:30:48 GMT

[root@host31 ~]#

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查詢寫入的數據

[root@host31 ~]# curl -GET ‘http://192.168.32.31:8086/query?pretty=true‘ --data-urlencode "db=mydb" --data-urlencode "q=SELECT \"value\" FROM \"cpu_load_short\" WHERE \"region\"=‘us-west‘"
{
    "results": [
        {
            "series": [
                {
                    "name": "cpu_load_short",
                    "columns": [
                        "time",
                        "value"
                    ],
                    "values": [
                        [
                            "2015-06-11T20:46:02Z",
                            0.64
                        ]
                    ]
                }
            ]
        }
    ]
}[root@host31 ~]#

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時序列數據庫之InfluxDB