influent v0.5.2
:ocean:

InfluxDB javascript driver
Overview
This is a InfluxDB driver for Javascript apps. It could work both in Node or browser1.
Install
For node.js/iojs usage:
$ npm install --save influentFor usage in browser:
bower install --save influentUsage
var influent = require('influent');
influent
.createHttpClient({
server: [
{
protocol: "http",
host: "localhost",
port: 8086
}
],
username: "gobwas",
password: "xxxx",
database: "mydb"
})
.then(function(client) {
client
.query("show databases")
.then(function(result) {
// ...
});
// super simple point
client.write({ key: "myseries", value: 10 });
// more explicit point
client
.write({
key: "myseries",
tags: {
some_tag: "sweet"
},
fields: {
some_field: 10
},
timestamp: Date.now()
})
.then(function() {
// ...
});
});Type System
According to InfluxDB@0.9 docs there are four data types:
Field values may be stored as float64, int64, boolean, or string. All subsequent field values must match the type of the first point written to given measurement.
float64values are the default numerical type.1is a float,1iis an integer;int64value must have a trailingi. The fieldbikes_present=15istores an integer and the fieldbikes_present=15stores a float;booleanvalues aret,T,true,True, orTRUEfor TRUE, andf,F,false,False, orFALSEfor FALSE;stringvalues for field values must be double-quoted. Double-quotes contained within the string must be escaped. All other characters are supported without escaping.
There is a little bit problem with Javascript numbers, cause it could be both integer or float. So to solve it there is the influent.Value abstraction for you:
var influent = require("influent");
// client creation somewhere
client
.write({
key: "myseries",
tags: {
some_tag: "sweet"
},
fields: {
// this will be written as 10i, and saved as int64 10 into InfluxDB
i_field: new influent.I64(10),
// implicit way to write values
// note that all implicit field numbers are casted to the influxdb's float64
f_field: 10, // is equal to new influent.F64(10)
s_field: "string" // is equal to new influent.Str("string")
b_field: true // is equal to new influent.Bool(true)
},
timestamp: Date.now()
});Usage without decorator
When you call influent.createAnyClient you get a decorated client, that allows you to pass simple object
literals to write and query. This, of course, get some performance overhead and unnecessary object casting and type checks.
You could use this way, to be more explicit:
// create client
var client = new HttpClient({
username: "gobwas",
password: "xxxx"
});
// use line serializer
client.injectSerializer(new LineSerializer());
// use http client (this is for node, XhrHttp is for browser)
client.injectHttp(new NodeHttp());
// use stub elector, that always elects first host
client.injectElector(new StubElector([ host ]));
// create batch of points
var batch = new Batch({ database: "mydb" });
batch.add((new Measurement("key")).addField("value", 1))
// send batch
client.write(batch).then(...);
// create query object
var query = new Query("select * from key", { database: "mydb" });
// eval query
client.query(query).then(...);
API
influent.createHttpClient(config: Object) -> Promise[influent.DecoratorClient[influent.HttpClient]]
Creates influent.DecoratorClient instance, with influent.HttpClient inside.
This method makes client.ping(), to sure that connection is OK.
The config should have structure like this:
{
// required
// --------
server: {
protocol: string
host: string
port: number
}
// or
server: [ serverA... serverN ]
username: string
password: string
// optional
// --------
database: string
// write options
precision: enum[n, u, ms, s, m, h]
consistency: enum[one, quorum, all, any]
rp: string
max_batch: number
// query options
epoch: enum[n, u, ms, s, m, h]
chunk_size: number
}influent.createUdpClient(config: Object) -> Promise[influent.DecoratorClient[influent.UdpClient]]
Default factory for creating udp client. Creates influent.DecoratorClient instance, with influent.UdpClient inside.
The config should have structure like:
{
// required
// --------
server: {
protocol: string
host: string
port: number
}
// or
server: [ serverA... serverN ]
// optional
// --------
// write options
precision: enum[n, u, ms, s, m, h] // unsupported yet
max_batch: number
safe_limit: number
}Class: influent.Batch
new influent.Batch([options: Object])
Where options could be:
{
database: string
precision: enum[n, u, ms, s, m, h]
consistency: enum[one, quorum, all, any]
rp: string
}batch.add(m: influent.Measurement)
batch.options() -> Object
batch.measurements() -> Array[Measurement]
Class: influent.Query
new influent.Query(command: string[, options: Object])
Where options could be:
{
database: string
epoch: enum[n, u, ms, s, m, h]
chunk_size: number
}query.command() -> string
query.options() -> Object
Class: influent.Client
Abstract class of InfluxDB client. Has several abstract methods:
new influent.Client([options: Object])
client.ping() -> Promise[Object{ info: influent.Info, host: influent.Host }]
Pings host.
client.query(query: influent.Query) -> Promise[Object]
Asks for data.
client.write(batch: influent.Batch) -> Promise[]
Writes measurements.
Class: influent.NetClient
Abstract ancessor of influent.Client. Has several injector methods:
client.injectElector(elector: influent.Elector)
client.injectSerializer(serializer: influent.Serializer)
Class: influent.HttpClient
Implementation of influent.NetClient for http usage.
new influent.HttpClient(options: Object)
Where options could be like:
{
// required
// --------
username: string,
password: string,
}httpClient.query(query: influent.Query) -> Promise[Object]
httpClient.write(batch: influent.Batch) -> Promise[]
httpClient.injectHttp(http: hurl.Http)
Injector of http service, that is implementation of abstract hurl.Http class. hurl is just npm dependency.
Class: influent.UdpClient
Implementation of influent.NetClient for udp usage.
new influent.UdpClient(options: Object)
Where options could be like:
{
// optional
// --------
safe_limit: number
}udpClient.query(query: influent.Query) -> Promise[Object]
This method returns rejected Promise, cause there is no ability to fetch some data through udp from InfluxDB.
udpClient.write(batch: influent.Batch) -> Promise[]
httpClient.injectUdp(http: influent.Udp)
Injector of udp service.
Class: influent.DecoratorClient[T: influent.Client]
Wrapper around influent.Client for better usability purposes.
new DecoratorClient([options: Object])
If options are present, the could contain these optional fields:
database: string
// write options
precision: enum[n, u, ms, s, m, h]
consistency: enum[one, quorum, all, any]
rp: string
max_batch: number
// query options
epoch: enum[n, u, ms, s, m, h]
chunk_size: numberdecoratorClient.write(data: influent.Batch | Object | influent.Measurement | Array[Object | influent.Measurement][, options: Object]) -> Promise[]
When measurement is Object, it should have structure like:
{
// required
key: string,
// one of or both `value` or non-empty `fields` should be present
value: string | number | boolean | influent.Type,
fields: {
fieldName: string | number | boolean | influent.Type
},
// optional
tags: {
tagName: string
},
// optional
timestamp: number | string | Date
}decoratorClient.injectClient(client: influent.Client)
Class: influent.Elector
Represents strategy of electing host to send request.
new influent.Elector(hosts: Array[influent.Host][, options])
elector.getHost() -> Promise[Host]
Class: influent.RoundRobinElector
Round robin strategy of host election.
Class: influent.BaseElector
Base strategy of election. Uses influent.Ping to check health.
new influent.BaseElector(hosts: Array[influent.Host][, options])
Where options:
{
period: number
}baseElector.injectPing(ping: influent.Ping)
Class: influent.Ping
Represents strategy of checking host health.
new influent.Ping([, options])
ping.pong() -> Promise[]
Class: influent.HttpPing
Checks health via http request.
new influent.HttpPing([, options])
Where options:
{
timeout: number
}httpPing.injectHttp(http: hurl.Http)
Class: influent.CmdPing
Checks health via exec ping ....
new influent.CmdPing([, options])
Where options:
{
timeout: number,
count: number
}Class: influent.LineSerializer
Line protocol implementation of influent.Serializer.
Class: influent.Type
Class: influent.I64
new influent.I64(data: number)
Class: influent.F64
new influent.F64(data: number)
Class: influent.Bool
new influent.Bool(data: boolean)
Class: influent.Str
new influent.Str(data: string)
Class: influent.Measurement
new influent.Measurement(key: string)
measurement.addTag(key: string, value: string)
measurement.addField(key: string, value: influent.Value)
measurement.setTimestamp(timestamp: string)
Sets timestamp to the measurement. Using numeric string, cause it make sense
on a big numbers with precision in nanoseconds.
Class: influent.Host
new influent.Host(protocol: string, host: string, port: number)
host.toString() -> String
Class: influent.Info
Represents client.ping() meta information.
new influent.Info()
Notes
1: Browser version is about 41KB minified, and 13KB gzipped. There are no polyfills in bundle for old browsers! Be sure, that you have at least these global objects and object methods:
Promise;Object.keys;Array.forEach;XMLHttpRequest.
Some Node.js specific classes are excluded from the influent API browser build.
Compatibility
| InfluxDB | Influent |
|---|---|
<0.9.3 | ^0.2.3 |
>0.9.3 | ^0.3.0 |
License
MIT © Sergey Kamardin
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