appbase-js
Appbase.io is a data streams library for Node.JS and Javascript (browser build is in the browser/ directory); compatible with elasticsearch.js.
An up-to-date documentation for Node.JS API is available at http://docs.appbase.io/scalr/javascript/nodejs-intro.html.
Quick Example
Working code snippets where each step builds on the previous ones.
Step 1: Add some data into the app (uses elasticsearch.js)
const HOSTNAME = "scalr.api.appbase.io"
const APPNAME = "createnewtestapp01"
const USERNAME = "RIvfxo1u1"
const PASSWORD = "dee8ee52-8b75-4b5b-be4f-9df3c364f59f"
var Appbase = require('appbase-js')
var appbase = new Appbase({
url: 'https://'+USERNAME+":"+PASSWORD+"@"+HOSTNAME,
appname: APPNAME
});
appbase.index({
type: "product",
id: "1",
body: {
name: 'A green door',
price: 12.50,
tags: ['home', 'green'],
stores: ['Walmart', 'Target']
}
}).on('data', function(res) {
console.log(res);
}).on('error', function(err) {
console.log(err);
});
Step 2: Read the data stream from a particular DB location
Returns continous updates on a JSON document from a particular type
.
appbase.getStream({
type: 'product',
id: '1'
}).on('data', function(res) {
console.log(res);
}).on('error', function(err) {
console.log("caught a stream error", err);
})
Note:
Existing document value is returned via get()
method.
Console Output
{ _index: 'app`248',
_type: 'product',
_id: '1',
_version: 4,
found: true,
_source:
{ name: 'A green door',
price: 12.5,
tags: [ 'home', 'green' ],
stores: [ 'Walmart', 'Target' ] } }
getStream() returns a stream.Readable
object, which can be conveniently listened via the 'on("data")' event listener. Check out the stream_document_test.js where we make an update to the document and see any further updates to it via the 'data' event.
Step 3: Apply queries on data streams
Get continuous results by searching across the database streams. A query can be written using the ElasticSearch Query DSL - which supports composing boolean, regex, geo, fuzzy, range queries. Let's stream the results of a simple match_all
query on the product
type:
appbase.searchStream({
type: 'product',
body: {
query: {
match_all: {}
}
}
}).on('data', function(res, err) {
console.log(res);
}).on('error', function(err) {
console.log("caught a stream error", err);
})
Console Output
{ took: 1,
timed_out: false,
_shards: { total: 1, successful: 1, failed: 0 },
hits:
{ total: 4,
max_score: 1,
hits: [ [Object], [Object], [Object], [Object] ] } }
searchStream() also returns a stream.Readable
object, which can be conveniently listened via the 'on("data")' event listener. Check out the stream_search_test.js where we make an update that matches the query and see the results in the event stream.
API Reference
For a complete API reference, check out JS API Ref doc.
Global
new Appbase(args)
Returns a reference object on which streaming requests can be performed.
args - A set of key/value pairs that configures the ElasticSearch Index
url: "https://scalr.api.appbase.io"
appname: App name (equivalent to an ElasticSearch Index)
username: App's username
password: App's password key
Optionally (and like in the quick example above), url
can contain username and password fields in the format: https://<USERNAME>:<PASSWORD>@scalr.appbase.io.
Reference
reference.getStream(args)
Get continuous updates on a JSON document with a type
and id
. Returns a stream.Readable
object.
args - A set of key/value pairs that makes the document URL
type: ElasticSearch Type, a string
id: Valid Document ID
reference.searchStream(args)
Get continuous updates on search queries (fuzzy, boolean, geolocation, range, full-text). Returns a stream.Readable
object.
args - A set of key/value pairs that makes the document URL
type: ElasticSearch Type, a string
body: A JSON Query Body (Any query matching the ElasticSearch Query DSL)