Java EE 6 and NoSQL Workshop DevFest Austria

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Java EE 6 and NoSQL Workshop DevFest Austria

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Java EE 6 and NoSQL Workshop DevFest Austria

  1. 1. OPENSHIFT JEE6 and NoSQL in the Cloud Workshop PRESENTED BY Shekhar Gulati
  2. 2. 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
  3. 3. AGENDA ● 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 http://sharemylocation-shekhargulati.rhcloud.com/
  4. 4. CODE DU JOUR https://github.com/shekhargulati/sharemylocation-demo
  5. 5. OpenShift OPENSHIFT OVERVIEW
  6. 6. OpenShift is PaaS by Red Hat Multi-language, Auto-Scaling, Self-service, Elastic, Cloud Application Platform
  7. 7. WHY OPENSHIFT? ● ● 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!
  8. 8. OUR STACK 8
  9. 9. FLAVORS OF OPENSHIFT Open Source Project Public Cloud Service origin Onpremise or Private Cloud Software
  10. 10. OPENSHIFT – GETTING STARTED Go to https://openshift.redhat.com/app/account/new Promo code is DEVFEST2013 Verify Email 10
  11. 11. TOOLS REQUIRED 1. Eclipse for Java EE (Kepler) 2. Git 3. Modern browser 11
  12. 12. LAB 1 : HELLO OPENSHIFT 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.html 1. Commit the change using Git Staging view 2. Publish the change 4.View application in browser 12
  13. 13. LAB 2 : HOT DEPLOYMENT 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. 13
  14. 14. LAB 3 : SET UP JAX RS 14
  15. 15. LAB 3 : REST INTRODUCTION 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 5. Hypermedia as the engine of application state 15
  16. 16. LAB 3 JAX-RS INTRODUCTION 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 In this workshop we will be talking about JAX-RS 1.1 16
  17. 17. LAB 3 : SET UP JAX RS 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 17
  18. 18. LAB 4 : CONFIGURE CDI AND MONGODB 18
  19. 19. CDI 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. 19
  20. 20. CDI EXAMPLE 20
  21. 21. MONGODB
  22. 22. WHAT IS MONGODB  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 22
  23. 23. MONGODB TERMINOLOGY Database → Database Table → Collection Row → Document Index → Index
  24. 24. SOME QUERIES // 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"]}}) 24
  25. 25. LAB 4 : ENABLE CDI AND MONGODB CONFIGURATION 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 25
  26. 26. LAB 5 : IMPLEMENT CREATE AND FIND ALL STATUS 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 – 26 Team > Reset > Remote Tracking > upstream/lab5
  27. 27. LAB 6 : IMPLEMENT NEAR AND GEONEAR FEATURES 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 Index 1. db.statuses.ensureIndex({“location”:”2dsphere”}) Right click on project – 27 Team > Reset > Remote Tracking > upstream/lab6
  28. 28. QUESTIONS?
  29. 29. DONE!
  30. 30. STEP 1 : CHOOSE OPENSHIFT TOOLS 30
  31. 31. STEP 1 : SEARCH JBOSS TOOLS 31
  32. 32. GEOSPATIAL INDEXING BASICS  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)) 32
  33. 33. HOW TO MAKE IT WORK 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) 33 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.

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