OPENSHIFTWorkshop

PRESENTEDBY

ShekharGulati

JEE6 and NoSQL in the Cloud

WHO AM I?

• Shekhar Gulati -- OpenShift Developer Evangelist

• Java / JavaScript / Python / NoSQL / Cloud Guy

• Twitter Handle : shekhargulati

• Github https://github.com/shekhargulati

• Slides http://www.slideshare.net/shekhargulati

● Get started with OpenShift● Develop a location aware application

– Java EE 6 – Middleware● JAX-RS 1.1 – Java API for REST WS● CDI – Context and Dependency Injection

– MongoDB – Database

– OpenShift – Deployment choice

AGENDA

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

CODE DU JOUR

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

OpenShift

OPENSHIFT OVERVIEW

OpenShiftis

PaaS by Red Hat

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

Elastic,Cloud Application

Platform

● Supports MongoDB , PostgreSQL ,and MySQL

● Multi-language support. Supports Java, Node.js, Perl, Python, PHP and Ruby

● Extensible via DIY and cartridges

● No need to learn anything new

● Open source – OpenShift Origin

● Scalable

● FREE!

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 tohttps://openshift.redhat.com/app/account/new

Promo code is DEVFEST2013

Verify Email

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1. Eclipse for Java EE (Kepler)

2. Git

3. Modern browser

TOOLS REQUIREDTOOLS 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. Make a change in index.html1. Commit the change using Git Staging view

2. Publish the change

4.View application in browser

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 constraints1. 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

5. Hypermedia as the engine of application state

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. Update Maven war plugin to 2.3

3. Create JAX-RS configuration class.

4. Write PingResource

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

git fetch –all

git reset --hard upstream/lab3

LAB 3 : SET UP JAX RS

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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 to1. 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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Open Source NoSQL document datastore– JSON style documents

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

unique structure compared to other documents

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

WHAT IS MONGODB

Database → Database

Table → Collection

Row → Document

Index → Index

MONGODB TERMINOLOGYMONGODB 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. Creates Status domain class

2. Creates converter for Status to DBObject and vice versa

3. Creates StatusResource with create and find all endpoints.

4. Creates ApplicationDao with create and findAll methods.

5. Creates 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. Creates findNear and findGeoNear methods in ApplicationDao

2. Creates near and geonear search REST endpoints in StatusResource

3. Implements backbone views for search endpoints

4. Create Index1. 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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What is it for? Find all the MongoDB jobs near me – Proximity Queries Find all the MongoDB jobs within Bangalore – Bounded

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

● Supports only two dimensional indexes. You can only have one geospatial index per collection. 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