InfluxDB Quick Start

来自Jack's Lab
2017年5月11日 (四) 18:49Comcat (讨论 | 贡献)的版本

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目录

1 Key Concepts

1.1 Database

A logical container for users, retention policies, continuous queries, and time series data


1.2 Measurement

The part of InfluxDB’s structure that describes the data stored in the associated fields. Measurements are strings.


1.3 Tag

The key-value pair in InfluxDB’s data structure that records metadata. Tags are an optional part of InfluxDB’s data structure but they are useful for storing commonly-queried metadata; tags are indexed so queries on tags are performant. Query tip: Compare tags to fields; fields are not indexed.


1.3.1 Tag Key

The key part of the key-value pair that makes up a tag. Tag keys are strings and they store metadata. Tag keys are indexed so queries on tag keys are performant. Query tip: Compare tag keys to field keys; field keys are not indexed.


1.3.2 Tag Value

The value part of the key-value pair that makes up a tag. Tag values are strings and they store metadata. Tag values are indexed so queries on tag values are performant.


1.3.3 Tag Set

The collection of tag keys and tag values on a point.


1.4 Series

The collection of data in InfluxDB’s data structure that share a measurement, tag set, and retention policy. Note: The field set is not part of the series identification!



2 influx shell

$ influx
Connected to http://localhost:8086 version 1.2.x
InfluxDB shell 1.2.x
> show databases;
name: databases
name
----
_internal
test
telegraf

> use telegraf;
Using database telegraf
> show measurements;
name: measurements
name
----
cpu
disk
diskio
kernel
mem
processes
swap
system

> 



3 Creating a database

$ curl -i -XPOST http://localhost:8086/query --data-urlencode "q=CREATE DATABASE mydb"
$ influx
Connected to http://localhost:8086 version 1.2.x
InfluxDB shell 1.2.x
> create database mydb;
> show databases;
name: databases
name
----
_internal
test
telegraf
mydb



4 Insert data

> USE mydb
> INSERT cpu,host=serverA,region=us_west value=0.64
> select * from cpu;
name: cpu
time                host    region  value
----                ----    ------  -----
1494498034415516860 serverA us_west 0.64


Syntax:

 <measurement>[,<tag-key>=<tag-value>...] <field-key>=<field-value>[,<field2-key>=<field2-value>...] [unix-nano-timestamp]



5 Writing data

$ curl -i -XPOST 'http://localhost:8086/write?db=mydb' --data-binary 'cpu_load,host=server01,region=us-west value=0.64'



6 Queries


$ curl -GET 'http://raspberrypi:8086/query?pretty=true' \
            --data-urlencode "db=mydb" --data-urlencode \
            "q=SELECT \"value\" FROM \"cpu_load_short\" WHERE \"region\"='us-west'" \
            | jq '.results[0].series'



7 Advanced Queries

> SELECT COUNT("water_level") FROM "h2o_feet" \
      WHERE time >= '2015-08-19T00:00:00Z' \
      AND time <= '2015-08-27T17:00:00Z' \
      AND "location"='coyote_creek' GROUP BY time(3d)



























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