This is a quick start guide to working with the appbase.io REST API.

Creating an App

This gif shows how to create an app on appbase.io, which we will need for this quickstart guide.

Log in to Appbase Dashboard, and create a new app.

For this tutorial, we will use an app called newstreamingapp. The credentials for this app are meqRf8KJC:65cc161a-22ad-40c5-aaaf-5c082d5dcfda.

Note

appbase.io uses HTTP Basic Auth, a widely used protocol for simple username/password authentication. This is similar to how GitHub's authentication works over https, just imagine every repository (app in our context) having it's unique <username>:<password> combination, found under the Credentials tab of the dashboard.

The full REST API reference is available at https://rest.appbase.io.

Setup

Here's an example authenticated GET request. We will set the app name and credentials as bash variables and reuse them in the requests.

# SET BASH VARIABLES
app="newstreamingapp"
credentials="meqRf8KJC:65cc161a-22ad-40c5-aaaf-5c082d5dcfda"

curl https://$credentials@scalr.api.appbase.io/$app

RESPONSE
{
    status: 200,
    message: "You have reached /newstreamingapp/ and are all set to make API requests"
}

Storing Data

Let's insert a JSON object. We create a type books inside our app and add a JSON document 1 with a PUT request.

curl -XPUT https://$credentials@scalr.api.appbase.io/$app/books/1 -d '{
    "department_name":"Books",
    "department_name_analyzed":"Books",
    "department_id":1,
    "name":"A Fake Book on Network Routing",
    "price":5595
}'

Note

appbase.io uses the same APIs as Elasticsearch. A type is equivalent to a collection in MongoDB or a table in SQL, and a document is similar to the document in MongoDB or a row in SQL.

GETing or Streaming Data

Getting live updates to a document is as simple as suffixing ?stream=true to a GET request. It's so awesome that we recommend using this as the default way to GET things.

curl -N https://$credentials@scalr.api.appbase.io/$app/books/1?stream=true

# INITIAL RESPONSE
{
    "_index": "app`248",
    "_type": "books",
    "_id": "1",
    "_version": 5,
    "found": true,
    "_source": {
        "department_name": "Books",
        "department_name_analyzed": "Books",
        "department_id": 1,
        "name": "A Fake Book on Network Routing",
        "price": 5595
    }
}

appbase.io keeps an open connection so that every time there is an update in the /$app/books/1 document, it is streamed via the connection.

Modify the Document

Let's modify the book price to 6034.

curl -XPUT https://$credentials@scalr.api.appbase.io/$app/books/1 --data-binary '{
    "price": 6034,
    "department_name": "Books",
    "department_name_analyzed": "Books",
    "department_id": 1,
    "name": "A Fake Book on Network Routing"
}'

Observe the Streams

curl -N https://$credentials@scalr.api.appbase.io/$app/books/1?stream=true

RESPONSE AFTER 2.a
{
    "_index": "app`248",
    "_type": "books",
    "_id": "1",
    "_version": 5,
    "found": true,
    "_source": {
        "department_name": "Books",
        "department_name_analyzed": "Books",
        "department_id": 1,
        "name": "A Fake Book on Network Routing",
        "price": 5595
    }
}
{
    "_type": "books",
    "_id": "1",
    "_source": {
        "department_id": 1,
        "department_name": "Books",
        "department_name_analyzed": "Books",
        "name": "A Fake Book on Network Routing",
        "price": 6034
    }
}

In the new document update, we can see the price change (5595 -> 6034) being reflected. Subsequent changes will be streamed to the response as raw JSON objects. As we see, there are no delimiters between between two consecutive JSON responses.

For every ?stream=true request, appbase.io keeps an open connection up to a max of 6 hrs.

Streaming document updates seems straightforward, can we apply rich filters and queries to our streams? Yes, we can. We can specify any Elasticsearch Query DSL request, and get responses via streams.

We will see it here with a match_all query request.

curl -N -XPOST https://$credentials@scalr.api.appbase.io/$app/books/_search?stream=true -d '{"query": {"match_all":{}}}'

INITIAL RESPONSE
{
    "took": 1,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "failed": 0
    },
    "hits": {
        "total": 1,
        "max_score": 1,
        "hits": [{
            "_index": "app`248",
            "_type": "books",
            "_id": "1",
            "_score": 1,
            "_source": {
                "price": 6034,
                "department_name": "Books",
                "department_name_analyzed": "Books",
                "department_id": 1,
                "name": "A Fake Book on Network Routing"
            }
        }]
    }
}

REST API Reference

The full API reference with example snippets in cURL, Ruby, Python, Node, PHP, Go, jQuery can be browsed at rest.appbase.io.