Siddharth Kothari siddharthlatest

The unmet need

We wanted a lightweight ElasticSearch data browser to include within the Appbase.io dashboard. We started out with evaluating existing browsers to see if we could repurpose them for our needs.

We were primarily looking for -

Client-side rendering: Introducing either server-side code or database coupling would introduce performance hits and make hosting more prone to more failure scenarios; we felt strongly about client-side rendering.
Déjà vu: While a polished UI is starting to become the norm in modern apps, we found that some data browsers have yet to match up in this regards.

We evaluated the most popular data browsers and found them lacking with either their client-side rendering capabilities or their UI / Ux sensibilities.

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History of foursquare and swarmapp. Use of foursquare.

We built an app for showing live foursquare check-ins.

Key Ingredients

The now recipe can be broken into two key pieces: the backend worker and the user interface.

Backend Worker: (How do we fetch data from Twitter and Foursquare?)
- We use the Meetup's long-polling RSVP stream endpoint to get realtime RSVPs.

Top 10 Use-cases Of a Streaming Database

Appbase.io, 2015

Data Streams vs Data Set

Data Streams represent data in the flow. Data Set in contrast represents data in a base or data in a file. All database queries operate on a data set, i.e. even when the data set is being updated continuously - a query result once returned is never updated.

Data Set APIs work on a pull-based paradigm vs Data Streams APIs which operate on a push-based paradigm.

##Appbase + Sendgrid Webhooks Usecase

Basically in all the cases when you want to send transactional mail (i.e based on some activity), it is perfect fit to use Appbase and Sendgrid together.

When you want to notify users if their account information has been changed
Mails related to order confirmation, send an email when new entry comes in
Welcome mail to the users as soon as they sign up
Alert mails

You won't need to run your server to handle the mails. It is advisable to run the webhooks through the backend as you will be passing your API key in the request.

	import sys
	import math
	sys.setrecursionlimit(100000) # Set recursion depth to 10^5

	POSMAP = {1:(0,0), 2:(0,3), 3:(0,6), 4:(1,1), 5:(1,3), 6:(1,5), 7:(2,2), 8:(2,3), 9:(2,4),
	10:(3,0), 11:(3,1), 12:(3,2), 13:(3,4), 14:(3,5), 15:(3,6), 16:(4,2), 17:(4,3), 18:(4,4),
	19:(5,1), 20:(5,3), 21:(5,5), 22:(6,0), 23:(6,3), 24:(6,6)}
	POINTMAP = {(0,0):1, (0,3):2, (0,6):3, (1,1):4, (1,3):5, (1,5):6, (2,2):7, (2,3):8, (2,4):9,
	(3,0):10, (3,1):11, (3,2):12, (3,4):13, (3,5):14, (3,6):15, (4,2):16, (4,3):17, (4,4):18,
	(5,1):19, (5,3):20, (5,5):21, (6,0):22, (6,3):23, (6,6):24}

	/* In this app $rootScope is mostly used for
	* changing the route and managing visibly of navigation bar.
	*/
	Appbase.credentials("twitter", "2cac84749bc429ad7017bb1685eafaf4");
	angular.module('twitter',['ngRoute','ngAppbase'])
	.run(function($rootScope,userSession,$location) {
	$rootScope.exit = function() {
	userSession.exit()
	$location.path('/global')
	}

	this.getDragData = function(lat, lng) {
	return appbaseRef.search({
	type: 'city',
	body: {
	query: {
	filter: {
	geo_distance: {
	distance: "2000km",
	location: [lat, lng]
	}

	appbaseRef.search({
	body: {
	suggest: {
	mysuggester: {
	text: text,
	completion: {
	field: 'city_suggest'
	}
	}
	}

	{
	"shout": "Columbus Realtors Directors Meeting",
	"city": "columbus",
	"category": "Office",
	"latitude": 39.996149824327,
	"longitude": -82.93393505324137,
	"venue": "Columbus REALTORS®",
	"city_suggest": "Columbus",
	"url": "swarmapp.com/c/96gB6gzzl34",
	"username": "Kathy",