NOSQL part of the SpringOne 2GX 2010 keynote

  • 9,412 views
Uploaded on

 

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
9,412
On Slideshare
0
From Embeds
0
Number of Embeds
6

Actions

Shares
Downloads
0
Comments
0
Likes
6

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Spring Data NOSQL Support • Challenge • Proliferation of data • Complexity of data • Won’t all go into relational databases • NOSQL = Not Only SQL • Opportunity for Spring to provide solutions • Spring Data support for new data stores Column/ Tuesday, October 19, 2010
  • 2. The Neo4j graph database • A graph database uses nodes, relationships and properties • Sweet spot: complex domains such as social networking, bioinformatics, fraud detection, master data mgm – Very high performance on complex data: traverses 1-2 MILLION hops per second 2 Tuesday, October 19, 2010
  • 3. A scenario ... You have a traditional web app using JPA to persist data to a relational database Tuesday, October 19, 2010
  • 4. Existing JPA data model Restaurant UserAccount @Entity @Entity public class Restaurant { @Table(name = "user_account") @Id @GeneratedValue public class UserAccount { private Long id; @Id @GeneratedValue private String name; private Long id; private String city; private String userName; private String state; private String firstName; private String zipCode; private String lastName; @Temporal(TemporalType.TIMESTAMP) private Date birthDate; @ManyToMany(cascade = CascadeType.ALL) private Set<Restaurant> favorites; Tuesday, October 19, 2010
  • 5. Adding Neo4J graph features to the data model Restaurant UserAccount @Entity @Entity @NodeEntity(partial = true) @Table(name = "user_account") public class Restaurant { @NodeEntity(partial = true) @Id @GeneratedValue public class UserAccount { private Long id; @Id @GeneratedValue private String name; private Long id; private String city; private String userName; private String state; private String firstName; private String zipCode; private String lastName; @Temporal(TemporalType.TIMESTAMP) private Date birthDate; @ManyToMany(cascade = CascadeType.ALL) Recommendation private Set<Restaurant> favorites; @RelationshipEntity @GraphProperty public class Recommendation { String nickname; @StartNode @RelatedTo(type = "friends", private UserAccount user; elementClass = UserAccount.class) @EndNode Set<UserAccount> friends; private Restaurant restaurant; @RelatedToVia(type = "recommends", private int stars; elementClass = Recommendation.class) private String comment; Iterable<Recommendation> recommendations; Tuesday, October 19, 2010
  • 6. Old style Neo4j code example public class Recommendation { private final Relationship underlyingRel; public Recommendation( Relationship underlyingRel ) { this.underlyingRel = underlyingRel; } public void rate(int stars, String comment) { this.underlyingRel.setProperty("stars", stars); this.underlyingRel.setProperty("comment", comment); } public int getStars() { return (Integer) this.underlyingRel.getProperty("stars"); } public String getComment() { return (String) this.underlyingRel.getProperty("comment"); } Tuesday, October 19, 2010
  • 7. New style Spring/Neo4j code example @RelationshipEntity public class Recommendation { @StartNode private UserAccount user; @EndNode private Restaurant restaurant; private int stars; private String comment; public Recommendation() { } public void rate(int stars, String comment) { this.stars = stars; this.comment = comment; } public int getStars() { return stars; } public String getComment() { return comment; } Tuesday, October 19, 2010
  • 8. The social networking version Tuesday, October 19, 2010
  • 9. Generating in Spring Roo - new Neo4J Add-On Tuesday, October 19, 2010
  • 10. Conclusion • The goal of the Spring Data project is to provide simple and convenient connectivity to non-relational databases such as Redis, Neo4j, MongoDB and Cassandra • The Neo4j datastore-graph and Roo add-on have been developed in collaboration with the Neo4j team – Already used in a commercial context • If you want to learn more, go to: – “Graph Database Persistence using Neo4J with Spring and Roo” on Friday @ 1015 am – http://wiki.neo4j.org/content/Neo4j_and_SpringOne 10 Tuesday, October 19, 2010