OPENSHIFT Workshop

PRESENTED BY

Shekhar Gulati

Java(EE) MongoDB Applications in the Cloud

WHO AM I?

•  Shekhar  Gula+  -­‐-­‐  OpenShi1  Developer  Evangelist    •  Java  /  JavaScript  /  Python  /  NoSQL  /  Cloud  Guy    •  TwiEer  Handle  :  shekhargula*    •  Github  :  h,ps://github.com/shekhargula*  

•  Author  of  30  technologies  in  30  days  blog  series  h,ps://www.openshi9.com/blogs/learning-­‐30-­‐technologies-­‐in-­‐30-­‐days-­‐a-­‐developer-­‐challenge  

l  Get  started  with  OpenShi1  

l  Develop  a  loca+on  aware  applica+on  -  Java  EE  6  –  Middleware  

l  JAX-­‐RS  1.1  –  Java  API  for  REST  WS  

l  CDI  –  Context  and  Dependency  Injec+on  

-  Eclipse  Kepler  –  IDE  

-  MongoDB  –  Database  

-  OpenShi1  –  Deployment  choice  

AGENDA

http://sharemylocation-shekhargulati.rhcloud.com/

CODE DU JOUR

https://github.com/shekhargulati/sharemylocation-demo

OpenShift

OPENSHIFT  OVERVIEW  

OpenShift is

PaaS by Red Hat

Multi-language, Auto-Scaling, Self-service,

Elastic, Cloud Application Platform

l  Supports  MongoDB  ,  PostgreSQL  ,and  MySQL  

l  Mul+-­‐language  support.  Supports  Java,  Node.js,  Perl,  Python,  PHP  and  Ruby  

l  Extensible  via  DIY  and  cartridges  

l  No  need  to  learn  anything  new  

l  Open  source  –  OpenShi1  Origin  

l  Scalable  

l  FREE!  

l  Produc+on  Ready  

WHY OPENSHIFT?

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OUR STACK

origin

Public Cloud Service

On-premise or Private Cloud Software

Open Source Project

FLAVORS OF OPENSHIFT

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OPENSHIFT – GETTING STARTED

Go to https://openshift.redhat.com/app/account/new

Promo code is JUDCON-IN14 Verify Email

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1.  Eclipse for Java EE (Kepler)

2.  Git 3.  Modern browser

TOOLS REQUIRED TOOLS REQUIRED

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1.  Install OpenShift Eclipse plugin 2.  Create new application with JBoss EAP and MongoDB

cartridges. 1.  Sign up for OpenShift(if not already) 2.  Create domain name or namespace 3.  Upload SSH keys to OpenShift 4.  Fill application creation wizard 5.  Finish

3.  Show OpenShift Explorer View and Server’s View 4. Make a change in index.html

1.  Commit the change using Git Staging view 2.  Publish the change

LAB 1 : HELLO OPENSHIFT

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1.  Right click on your project and then go to OpenShift > Configure Markers

2.  Choose Hot Deploy marker 3.  Commit to git repository 4.  Go to servers view and publish your changes.

LAB 2 : HOT DEPLOYMENT

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LAB 3 : SET UP JAX RS

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1.  HTTP used right 2.  Defines set of RESTful constraints

1.  Everything is a resource 1.  Eg. Post , Tweet , User , etc.

2.  Every resource has an identifier 1.  Eg. http://api/twitter.com/tweets/1000011111

3.  Resource can have multiple representations 1.  JSON , XML , YAML , etc.

4.  All resources expose a uniform interface 1.  GET , POST , PUT , DELETE

LAB 3 : REST INTRODUCTION

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1.  Java API for REST Services 2.  POJO based 3.  Annotation heavy 4.  HTTP Centric 5.  Format independent 6.  Container independent 7.  Included with Java EE 6

LAB 3 JAX-RS INTRODUCTION

In this workshop we will be talking about JAX-RS 1.1

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1.  Update to Java 7 2.  Delete web.xml 3.  Update Maven war plugin to 2.3 4.  Create JAX-RS configuration class. 5.  Write PingResource

LAB 3 : SET UP JAX RS

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git remote add upstream -m master https://github.com/

shekhargulati/sharemylocation-demo.git git fetch –all git reset --hard upstream/lab3

LAB 3 : ADDING GIT REMOTE

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LAB 4 : CONFIGURE CDI AND MONGODB

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1.  CDI stands for Context and Dependency Injection 2.  CDI simplifies and sanitizes the API for DI and AOP

like JPA did for ORM -- CDI Tutorial by Rick Hightower 3.  Type safe approach to Dependency Injection 4.  Strong typing and loose coupling 5.  To configure CDI add beans.xml to

1.  WEB-INF of WAR 2.  META-INF of JAR

6.  Beans can be injected at method , field , or constructor.

CDI

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CDI EXAMPLE

MONGODB

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l  Open Source NoSQL document datastore –  JSON style documents

l  Schema-less –  Each document is heterogeneous, and may have completely

unique structure compared to other documents

l  Fast and horizontally scalable l  Rich query language l  Rich documents l  Easy to get running l  Geospatial indexing

WHAT IS MONGODB

 

Database      →    Database  

Table                    →          Collec+on  

Row                        →    Document  

Index                    →            Index  

MONGODB TERMINOLOGY MONGODB TERMINOLOGY

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// Find all the jobs with skill as mongodb

db.jobs.find({"skills":"mongodb"}) // Find all the jobs with python as skill and

near to given location

db.jobs.find({"lngLat":{$near : [139.69 , 35.68]}, "skills":"python"})

// Find all the python or mongodb jobs near to given location

db.jobs.find({"lngLat":{$near : [139.69 , 35.68]}, "skills":{$in : ["mongodb","python"]}})

SOME QUERIES

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1.  Create beans.xml in src/main/WEB-INF folder 2.  Create ApplicationScoped bean for configuring

MongoDB 3.  PingResource writes a document to dummy collection 4.  Open Eclipse Remote System Explorer perspective

and connect to gear. Right click on project

1.  Team > Reset > Remote Tracking > upstream/lab4

LAB 4 : ENABLE CDI AND MONGODB CONFIGURATION

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1.  Create Status domain class 2.  Create converter for Status to DBObject and vice versa 3.  Create StatusResource with create and find all

endpoints. 4.  Create ApplicationDao with create and findAll methods. 5.  Create Twitter Bootstrap and Backbonejs front end for

create and find all functionalities. Right click on project

-  Team > Reset > Remote Tracking > upstream/lab5

LAB 5 : IMPLEMENT CREATE AND FIND ALL STATUS

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1.  Create findNear and findGeoNear methods in ApplicationDao

2.  Create near and geonear search REST endpoints in StatusResource

3.  Implement backbone views for search endpoints 4.  Create Index

1.  db.statuses.ensureIndex({“location”:”2dsphere”})

Right click on project

-  Team > Reset > Remote Tracking > upstream/lab6

LAB 6 : IMPLEMENT NEAR AND GEONEAR FEATURES

QUESTIONS?

DONE!

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STEP 1 : CHOOSE OPENSHIFT TOOLS

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STEP 1 : SEARCH JBOSS TOOLS

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l  What is it for? l  Find all the MongoDB jobs near me – Proximity Queries l  Find all the MongoDB jobs within Bangalore – Bounded

Queries l  Find all the MongoDB job at this location – Exact Queries

l  Supports only two dimensional indexes. l  You can only have one geospatial index per collection. l  By default, 2d geospatial indexes assume longitude

and latitude have boundaries of -180 inclusive and 180 non-inclusive (i.e. [-180, 180))

GEOSPATIAL INDEXING BASICS

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1)  Put your coordinates into an array

{ loc : [ 50 , 30 ] } //SUGGESTED OPTION

{ loc : { x : 50 , y : 30 } }

{ loc : { foo : 50 , y : 30 } }

1)  { loc : { lon : 40.739037, lat: 73.992964 } }

2)  Make a 2d index

db.places.ensureIndex( { loc : "2d" } )

3) If you use latitude and longitude as your coordinate system, always store longitude first. MongoDB’s 2d spherical index operators only recognize [ longitude, latitude] ordering.

HOW TO MAKE IT WORK