MongoDB Data Access using Spring Data and Spring Roo Frameworks - Srini Penchikala, InfoQ

MongoDB Austin 2012

Spring Data provides a POJO based programming model to interact with a MongoDB DBCollection. In this session, I will give an overview of the Spring Data project and how it can be used to develop enterprise Java applications that access the data in MongoDB NoSQL Databases. I will talk about the Cross-store persistence concept and support for JPA Entities. The session will include the demonstration of a sample Java application using the Spring Data and Spring Roo frameworks to retrieve and persist data to a MongoDB database. I will also discuss the like Log4j appender, Map-Reduce integration and JMX administration and monitoring. I will conclude the talk with discussion on best practices MongoDB based application development.

Transcript

1. MONGODB DATA ACCESS USING SPRING DATA, ROO AND CLOUD FOUNDRY FRAMEWORKS MongoDB Austin Event (#MongoDBAustin) Srini Penchikala (srinipenchikala@gmail.com / @srinip) 02.15.12
2. #WHOAMI  Co-Author: “Spring Roo in Action” Book (http://www.manning.com/rimple/)  Editor (InfoQ.com) 2
3. GOALS AND SCOPE  Goal  How to access MongoDB data using Spring Data and Spring Roo frameworks  Scope  Focus on NoSQL application development framework  Other concerns like RAD, Logging, and Monitoring  Target Audience  Application Developers (Java)  Format  ~40 min presentation + 5 min Q&A  Demos  Interactive  “Spring Roo In Action” eBook to 2 winners 3
4. AGENDA  Spring Data MongoDB  Spring Roo  Cloud Foundry  Cross-Store Persistence  MongoDB Logger  JMX Monitoring  Conclusions 4
5. AGENDA  Spring Data MongoDB  Spring Roo  Cloud Foundry  Cross-Store Persistence  MongoDB Logger  JMX Monitoring  Conclusions 5
6. SPRING DATA  POJO based programming model  Spring-powered applications to access:  non-relational databases  map-reduce frameworks  cloud based data services  Contains many subprojects that are specific to a given NoSQL database 6
7. SPRING DATA PROJECTS Category Sub-project Document Stores MongoDB, CouchDB Graph Databases Neo4j Key Value Stores Redis, Riak Column Stores HBase, Cassandra Blob-Stores Blob Big Data Hadoop Data-Grid GemFire Relational Databases JPA, JDBC Extensions Common Infrastructure Commons, Grails Mapping 7 Source: http://www.springsource.org/spring-data
8. SPRING DATA MONGODB  Provides integration with MongoDB  POJO centric model for interacting with MongoDB Collection  Repository style data access layer  1.0 GA release 8 Website: http://www.springsource.org/spring-data/mongodb
9. SPRING DATA MONGO 1.0 GA FEATURES  Spring namespace  MongoTemplate  MongoConverter  Spring Data Repositories  Cross-store persistence  QueryDSL and GeoSpatial integration  Map-Reduce integration  MongoDB Log4j appender  JMX administration and monitoring 9 Source: http://www.springsource.org/node/3346
10. SPRING DATA MONGODB API 10 Mongo MongoTemplate MongoDBFactory Repository
11. MONGODB FACTORY 11 Java: MongoFactoryBean mongoFactory = new MongoFactoryBean(); mongoFactory.setHost("localhost"); XML: <mongo:db-factory dbname="database"> XML w/ Options: <mongo:db-factory id="anotherMongoDbFactory" host="localhost” port="27017” dbname="database” username="joe" password="secret"/>
12. USER CREDENTIALS UserCredentials userCredentials = new UserCredentials("joe","secret"); new SimpleMongoDbFactory(new Mongo(), "database", userCredentials); 12
13. MONGO TEMPLATE 13 Java: new Mongo("localhost"); new MongoTemplate(mongo, "mydatabase"); XML: <mongo:mongo host="localhost" port="27017"/> <bean id="mongoTemplate“ class="org.springframework.data. mongodb.core.MongoTemplate"> <constructor-arg ref="mongo"/> <constructor-arg name="databaseName“ value=" mydatabase "/> </bean>
14. REQUIREMENTS 14 MongoDB 1.6.5 or later JDK 6.0 mongo-java-driver- 2.5.3.jar Spring 3.0.x spring-data- mongodb- 1.0.0.RELEASE.jar spring-data- commons- 1.2.0.M1.jar Third party Libraries
15. AGENDA  Spring Data MongoDB  Spring Roo  Cloud Foundry  Cross-Store Persistence  MongoDB Logger  JMX Monitoring  Conclusions 15
16. SPRING ROO  Rapid application development tool  100% development in Java  Technology integration  Built-in MongoDB support  Roo add-ons  Fast and simple to remove  1.2.1 is the current GA release 16 Website: http://www.springsource.org/spring-roo
17. ROO COMMANDS // Create a new project. project com.rooinaction.cmsapp // Create configuration for MongoDB peristence mongo setup (or) mongo setup --cloudFoundry true // Define domain model. entity mongo --class ~.domain.Course --testAutomatically field string --fieldName name --sizeMin 2 --notNull --class ~.domain.Course // Add layer support. repository mongo --interface ~.repository.CourseRepository --entity ~.domain.Course // Deploy to the cloud cloud foundry deploy --appName rooinaction-cmsapp-demo1 --path /target/cmsapp-0.1.0.BUILD- SNAPSHOT.war --memory 512 cloud foundry create service --serviceName cmsapp-mongo --serviceType mongodb cloud foundry bind service --serviceName cmsapp-mongo --appName rooinaction-cmsapp-demo1 cloud foundry start app --appName rooinaction-cmsapp-demo1 17
18. AGENDA  Spring Data MongoDB  Spring Roo  Cloud Foundry  Cross-Store Persistence  MongoDB Logger  JMX Monitoring  Conclusions 18
19. CLOUD FOUNDRY  Platform as a Service (PaaS) offering from VMWare  MongoDB support  Spring Roo integration  Micro Cloud Foundry 19 Websites: http://www.cloudfoundry.org/ http://blog.springsource.org/2011/04/12/launching-cloud-foundry/
20. TOOLS  Maven  Eclipse  JConsole 20
21. DEMO: MONGODB ACCESS - SPRING DATA AND ROO 21
22. AGENDA  Spring Data MongoDB  Spring Roo  Cloud Foundry  Cross-Store Persistence  MongoDB Logger  JMX Monitoring  Conclusions 22
23. CROSS STORE PERSISTENCE  Persist entities to MongoDB and RDBMS  Compile time AspectJ support 23
24. CROSS-STORE PERSISTENCE EXAMPLE Customer 24 Survey Info RDBMS MongoDB
25. DEMO: MONGO CROSS-STORE APPLICATION 25
26. AGENDA  Spring Data MongoDB  Spring Roo  Cloud Foundry  Cross-Store Persistence  MongoDB Logger  JMX Monitoring  Conclusions 26
27. LOG4J CONFIGURATION log4j.appender.stdout=org.springframework.data.document.mongodb.log4j. MongoLog4jAppender log4j.appender.stdout.layout=org.apache.log4j.PatternLayout log4j.appender.stdout.layout.ConversionPattern=%d %p [%c] - <%m>%n log4j.appender.stdout.host = localhost log4j.appender.stdout.port = 27017 log4j.appender.stdout.database = logs log4j.appender.stdout.collectionPattern = %X{year}%X{month} log4j.appender.stdout.applicationId = my.application log4j.appender.stdout.warnOrHigherWriteConcern = FSYNC_SAFE log4j.category.org.springframework.data.document.mongodb=DEBUG 27
28. AGENDA  Spring Data MongoDB  Spring Roo  Cloud Foundry  Cross-Store Persistence  MongoDB Logger  JMX Monitoring  Conclusions 28
29. SPRING BEAN JMX CONFIGURATION <mongo:mongo host="localhost" port="27017"/> <mongo:jmx/> <context:mbean-export/> <context:annotation-config/> <bean id="registry" class="org.springframework.remoting.rmi.RmiRegistryFactoryBean" p:port="1099" /> <bean id="serverConnector" class="org.springframework.jmx.support.ConnectorServerFactoryBean“ depends-on="registry“ p:objectName="connector:name=rmi" p:serviceUrl="service:jmx:rmi://localhost/jndi/rmi://localhost:1099/ myconnector" /> 29
30. MBEANS  AssertMetrics  BackgroundFlushingMetrics  BtreeIndexCounters  ConnectionMetrics  GlobalLoclMetrics  MemoryMetrics  OperationCounters  ServerInfo  MongoAdmin 30
31. JMX CLIENT 31
32. DEMO: MONITORING 32
33. AGENDA  Spring Data MongoDB  Spring Roo  Cloud Foundry  Cross-Store Persistence  MongoDB Logger  JMX Monitoring  Conclusions 33
34. CONCLUSIONS  Spring Data  POJO based model  Domain to data mapping  Cross-store persistence  Rapid MongoDB application:  Development with Spring Roo  Cloud deployment via Cloud Foundry 34
35. RESOURCES  Spring Data (http://www.springsource.org/spring-data)  Spring Data – MongoDB (http://www.springsource.org/spring-data/mongodb)  Documentation (http://static.springsource.org/spring- data/data-document/docs/current/reference/html/)  Spring Roo In Action Book (http://www.manning.com/rimple/)  Chapter 4: Relationships, JPA and Advanced Persistence (http://www.manning.com/rimple/) 35
36. THANK YOU  Contact Information  http://www.infoq.com/author/Srini-Penchikala  srinipenchikala@gmail.com  @srinip  http://srinip2007.blogspot.com  Spring Roo in Action Book  eBook Winners  Questions? 36
37. BONUS SLIDES 37
38. DEMO: QUERY DSL EXAMPLE 38
39. DEMO: CLOUD FOUNDRY DEPLOYMENT 39