Download as PDF, PPTX
![PracJcal
Cypher
CREATE !
! (crm {name:"CRM"}),!
! (dbvm {name:"Database VM"}),!
! (www {name:"Public Website"}),!
! (wwwvm {name:"Webserver VM"}),!
! (srv1 {name:"Server 1"}),!
! (san {name:"SAN"}),!
! (srv2 {name:"Server 2"}),!
!
! (crm)-[:DEPENDS_ON]->(dbvm),!
! (dbvm)-[:DEPENDS_ON]->(srv2),!
! (srv2)-[:DEPENDS_ON]->(san),!
! (www)-[:DEPENDS_ON]->(dbvm),!
! (www)-[:DEPENDS_ON]->(wwwvm),!
! (wwwvm)-[:DEPENDS_ON]->(srv1),!
! (srv1)-[:DEPENDS_ON]->(san)!
X](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-14-320.jpg)
![PracJcal
Cypher
// Server 1 Outage!
MATCH (n)<-[:DEPENDS_ON*]-(upstream)!
WHERE n.name = "Server 1"!
RETURN upstream!
X
upstream
{name:"Webserver VM"}
{name:"Public Website"}](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-15-320.jpg)
![PracJcal
Cypher
// Public website dependencies!
MATCH (n)-[:DEPENDS_ON*]->(downstream)!
WHERE n.name = "Public Website"!
RETURN downstream!
!
X
downstream
{name:"Database VM"}
{name:"Server 2"}
{name:"SAN"}
{name:"Webserver VM"}
{name:"Server 1"}](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-16-320.jpg)
![PracJcal
Cypher
// Most depended on component!
MATCH (n)<-[:DEPENDS_ON*]-(dependent)!
RETURN n, !
count(DISTINCT dependent) !
AS dependents!
ORDER BY dependents DESC!
LIMIT 1
X
n dependents
{name:"SAN"
}
6](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-17-320.jpg)
![Andreas
How
do
I
query
this
Graph?
MATCH (poster:User {name:"Andreas"})
-[:POSTED]->(tweet)
-[:MENTIONED]->(user)
RETURN distinct user.name](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-31-320.jpg)
![Translate
to
Cypher
27
MATCH (person:Person)-[:IS_FRIEND_OF]->(friend),
(friend)-[:LIKES]->(restaurant),
(restaurant)-[:LOCATED_IN]->(loc:Location),
(restaurant)-[:SERVES]->(type:Cuisine)
!
WHERE person.name = 'Philip' AND loc.location='New York' AND
type.cuisine='Sushi'
!
RETURN restaurant.name
* Cypher query language examplehttp://maxdemarzi.com/?s=facebook](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-33-320.jpg)
![4
- A Graph Database:
- a schema-free Property Graph
- perfect for complex, highly connected data
- A Graph Database:
- reliable with real ACID Transactions
- scalable: billions nodes and relationships
- fast with millons traversals / second
- Server with REST API, or Embeddable on the JVM
- higher-performance with High-Availability (read scaling)
(Neo4j)-‐[:IS_A]-‐>(Graph
Database)](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-36-320.jpg)
![4
–Declarative query language
–Describe what you want, not how
–Based on pattern matching
–First level support for graph concepts and collections
MATCH (tag:Tag {tag:"springdata"})
MATCH (poster)-[:POSTED]->(tweet)<-[:TAGGED]-(tag)
WHERE poster.age > 18
RETURN poster.name, collect(tweet.date) as dates, count(*)
ORDER BY count(*) DESC
LIMIT 10
Cypher
-‐
A
Graph
Query
Language](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-37-320.jpg)
![58
Cypher Query Language
๏Write-Queries create graph structures
•Add follows to a user
•Create a complete tweet.
MERGE (user:User {user:"starbuxman"})
FOREACH (name in ["ah3rz","springsource","mesirii"] |
MERGE (other:User {user:name})
MERGE (user)-[:FOLLOWS]->(other))
!
MATCH (user:User {name:"mesirii"})
CREATE (tweet:Tweet {text:"Love to work with
@starbuxman on #SpringData #Neo4j demos"})<-
[:POSTED]-(user))
FOREACH (tag in ["SpringData","Neo4j"] |
MERGE (t:Tag {tag:tag})
MERGE (tweet)-[:TAGGED]->(t))](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-64-320.jpg)
![59
Cypher Query Language
๏Read-Queries answer use-case questions
•Whom should I follow?
•Which tags where often used with "java"?
MATCH (me:User {user:"starbuxman"})
MATCH (me)-[:POSTED]->(tweet)-[:MENTIONS]->(user)
WHERE not (me)-[:FOLLOWS]-(user)
RETURN user
!
MATCH (tag:Tag {tag:"java"})
MATCH (tag)<-[:TAGGED]-(tweet)-[:TAGGED]->(co_tag)
RETURN co_tag.tag, COUNT(*) as cnt
ORDER BY cnt DESC LIMIT 10](https://image.slidesharecdn.com/neo4j-sdn-boot-140524053222-phpapp01/85/Combine-Spring-Data-Neo4j-and-Spring-Boot-to-quickl-65-320.jpg)
Uploaded byNeo4j
Combine Spring Data Neo4j and Spring Boot to quickl
The document discusses Spring Data Neo4j, a tool for integrating Neo4j graph databases into Spring applications, emphasizing its benefits for handling connected data. It covers various topics including NoSQL databases, graph database use cases, the Cypher query language, and practical implementations within a Twitter-like sample application. Additionally, it highlights the performance advantages of Neo4j over traditional relational databases and mentions resources such as guidebooks and online tutorials for further learning.
More Related Content
![[D35] インメモリーデータベース徹底比較 by Komori](https://cdn.slidesharecdn.com/ss_thumbnails/d35hp-140623212142-phpapp01-thumbnail.jpg?width=640&height=640&fit=bounds)
Similar to Combine Spring Data Neo4j and Spring Boot to quickl
Combine Spring Data Neo4j and Spring Boot to quickl
- 1. S P RI N G DATA N EO 4 J github.com/jexp/sdn-‐twi5er-‐boot W I T H S P R I N G B O OT Michael Hunger Josh Long @mesirii @starbuxman
- 2. Twi5er Graph To becomepart of todays Twitter-Graph ✓your attendance ✓questions ✓remarks ✓.... please tweet with #springdata #neo4j
- 3. 1. NOSQL, ConnectedData, 2. Graph Databases and Neo4j 3. Spring Data Neo4j 4. Twitter-Graph - Sample App 5. Summary 6. Q & A Agenda
- 4. NOSQL -‐ Not Only SQL
- 5.
- 6.
- 7. Trends in BigData / NOSQL 1. increasing data size (big data) •“Every 2 days we create as much information as we did up to 2003” - Eric Schmidt 2. increasingly connected data (graph data) •for example, text documents to html 3. semi-structured data •individualization of data, with common sub-set 4. architecture - a facade over multiple services
- 8.
- 9. 8 Graph Database Use Cases
- 10. EvoluJon of Web Search Pre-1999 WWW Indexing Atomic Data 9 1999 - 2012 Google Invents PageRank Simple Connected Data 2012-? Google Launches the Knowledge Graph Rich Connected Data
- 11. EvoluJon of Online Job Search 2010-11 Resume Scoring Atomic Data 2011-12 Social Job Search Connected Data X
- 12.
- 13.
- 14. PracJcal Cypher CREATE! ! (crm {name:"CRM"}),! ! (dbvm {name:"Database VM"}),! ! (www {name:"Public Website"}),! ! (wwwvm {name:"Webserver VM"}),! ! (srv1 {name:"Server 1"}),! ! (san {name:"SAN"}),! ! (srv2 {name:"Server 2"}),! ! ! (crm)-[:DEPENDS_ON]->(dbvm),! ! (dbvm)-[:DEPENDS_ON]->(srv2),! ! (srv2)-[:DEPENDS_ON]->(san),! ! (www)-[:DEPENDS_ON]->(dbvm),! ! (www)-[:DEPENDS_ON]->(wwwvm),! ! (wwwvm)-[:DEPENDS_ON]->(srv1),! ! (srv1)-[:DEPENDS_ON]->(san)! X
- 15. PracJcal Cypher //Server 1 Outage! MATCH (n)<-[:DEPENDS_ON*]-(upstream)! WHERE n.name = "Server 1"! RETURN upstream! X upstream {name:"Webserver VM"} {name:"Public Website"}
- 16. PracJcal Cypher //Public website dependencies! MATCH (n)-[:DEPENDS_ON*]->(downstream)! WHERE n.name = "Public Website"! RETURN downstream! ! X downstream {name:"Database VM"} {name:"Server 2"} {name:"SAN"} {name:"Webserver VM"} {name:"Server 1"}
- 17. PracJcal Cypher //Most depended on component! MATCH (n)<-[:DEPENDS_ON*]-(dependent)! RETURN n, ! count(DISTINCT dependent) ! AS dependents! ORDER BY dependents DESC! LIMIT 1 X n dependents {name:"SAN" } 6
- 18.
- 19.
- 20.
- 21.
- 22.
- 23.
- 24. 4 Facebook Graph Search Everyone is Talking about Graphs
- 25. 19 And Everyone is Using them
- 26.
- 27. 21 user accountuser_account You know RelaJonal
- 28. 22 Properties (key valuepairs) + Indexes (finding start points) Emil Andrés Lars Johan Allison Peter Michael Tobias Andreas IanMica Delia knows knows knows knows knows knows knows knows knows knowsMica knowsknows Mica Delia knows The Property Graph Model Labels (categorize nodes) Nodes Relationships
- 29. • a samplesocial graph –with ~1,000 persons • average 50 friends per person • pathExists(a,b) limited to depth 4 • caches warmed up to eliminate disk I/O # persons query time Relational database 1.000 2000ms Neo4j 1.000 2ms Neo4j 1.000.000 But what about Performance?
- 30.
- 31. Andreas How do I query this Graph? MATCH (poster:User {name:"Andreas"}) -[:POSTED]->(tweet) -[:MENTIONED]->(user) RETURN distinct user.name
- 32.
- 33. Translate to Cypher 27 MATCH(person:Person)-[:IS_FRIEND_OF]->(friend), (friend)-[:LIKES]->(restaurant), (restaurant)-[:LOCATED_IN]->(loc:Location), (restaurant)-[:SERVES]->(type:Cuisine) ! WHERE person.name = 'Philip' AND loc.location='New York' AND type.cuisine='Sushi' ! RETURN restaurant.name * Cypher query language examplehttp://maxdemarzi.com/?s=facebook
- 34.
- 35. 4 Neo4j -‐ A Graph Database?
- 36. 4 - A GraphDatabase: - a schema-free Property Graph - perfect for complex, highly connected data - A Graph Database: - reliable with real ACID Transactions - scalable: billions nodes and relationships - fast with millons traversals / second - Server with REST API, or Embeddable on the JVM - higher-performance with High-Availability (read scaling) (Neo4j)-‐[:IS_A]-‐>(Graph Database)
- 37. 4 –Declarative query language –Describewhat you want, not how –Based on pattern matching –First level support for graph concepts and collections MATCH (tag:Tag {tag:"springdata"}) MATCH (poster)-[:POSTED]->(tweet)<-[:TAGGED]-(tag) WHERE poster.age > 18 RETURN poster.name, collect(tweet.date) as dates, count(*) ORDER BY count(*) DESC LIMIT 10 Cypher -‐ A Graph Query Language
- 39. Spring Data • Easyaccess to NoSQL databases for Spring developers • Consistent APIs and concepts – configuration, repositories, object-mapping – don't hide power of each database • Shared common infrastructure • Support for several NOSQL approaches (Neo4j, MongoDB, Redis, Hadoop, …) 33 http://projects.spring.io/spring-data
- 40. Spring Data Neo4j •Uses annotations to define graph entities • Entity state backed by graph database • Two modes of Object Graph Mapping • simple POJO Graph Mapping • advanced, seamless AspectJ backed Mapping • SD-Repositories support • Template, Config, Lifecycle • Neo4j Server Support 34 http://projects.spring.io/spring-data-neo4j
- 41. Spring Data News •Spring Data Dijkstra Release is Today • Includes Spring Data Neo4j 3.1.GA 35 http://projects.spring.io/spring-data
- 42. Sample Spring Data Neo4j + Boot ApplicaJon 36 github.com/jexp/sdn-twitter-boot • uses Spring Social (minimally) • Simple Domain:Tweets, Users,Tags • connected Entities • Repositories, Service • Standalone Application with spring-boot • either embedded Neo4j-Database, or • local Neo4j-Server
- 43.
- 44. Spring Data Book •Written by Spring Data Leads • Covers most SD projects 38 50 e-book copies available for you!
- 45. • Wednesday, Oct.22 - graphconnect.com • Only conference focused on graphDBs and applications powered by graphs • Register now for $99 Alpha Geek Passes, Neo4j training courses additional $99 GRAPHCONNECT! SF 2014
- 46. •Visit http://neo4j.com •Learn Onlinehttp://graphacademy.com •Spring Data Neo4j http://spring.io/projects LEARN MORE! ABOUT NEO4j
- 47.
- 48.
- 49. Whiteboard it -‐ abstract :Tweet MENTIONS :Tweet:User :User POSTED POSTED :TagTAGGED TAGGED :Tag TAG G ED
- 50. Whiteboard friendly -‐ example Attending the #SDN #Neo4j meetup MENTIONS Looking forward to my @peterneub POSTED POSTED #Neo4jTAGGED TAGGED #SDN TAG G ED
- 51.
- 52. Spring Data ๏Spring Data:Pivotal initiative to give Spring developers easy access to the emerging world of NOSQL ๏Build on top of common infrastructure ๏Spring Data Neo4j is the integration library for Neo4j ๏http://projects.spring.io/spring-data ๏Support for other NOSQL approaches
- 53. Spring Data Neo4j ๏Thebrain child of Rod Johnson & Emil Eifrém •Wrote functional initial prototype •Developed by Neo Technology and SpringSource teams ๏Uses annotations to define graph entities ๏Entity state backed by graph database ๏Two modes of Object Graph Mapping •simple POJO Graph Mapping
- 54. public class Tag{ private final Node underlyingNode; ! Tag( final Node node ) { underlyingNode = node; } ! public Node getUnderlyingNode() { return underlyingNode; } ! public final String getTag() { return (String) underlyingNode.getProperty( “tag” ); Classic Neo4j domain class
- 55. ! ! ! ! ! @Indexed(unique = true) ! ! ! ! @NodeEntity publicclass Tag { @GraphId private Long id; private String tag; } Spring Data Neo4j domain class
- 56. Defining enJty classes •@NodeEntity •Represents a node in the graph • Fields saved as properties on node • Object references stored as relationships between nodes • Instantiated using Java ‘new’ keyword, like any POJO • Also returned by lookup mechanisms • Type information stored in the graph as
- 57. Defining enJty classes •@RelationshipEntity •Represents a relationship in the graph • Fields saved as properties on relationship • Special fields for start- and end-nodes • Only returned by lookup methods
- 58. ! @NodeEntity public class Tweet{ @GraphId private Long id; ! @Indexed(unique=true) Long tweetId; ! String text; ! @Fetch User sender; // eager loading ! @RelatedTo(type="TAGGED") Collection<Tag> tags; Tweet domain class
- 59. 53 Interface based Repositories ๏basedon Repository infrastructure in Spring Data Commons ๏just define the interface and the namespace configuration ๏provide out-of-the-box support for •CRUD-Operations •Index-Lookups •Traversal-Execution •Annotated Graph-Queries (Cypher, Gremlin)
- 60. Repositories interface TweetRepository extendsGraphRepository<Tweet> { Tweet findByTweetId(String id); Collection<Tweet> findByTagsTag(String tag); } @EnableNeo4jRepositories("org.neo4j.twitter_graph.repositories") @Configuration @Controller public class TwitterController { @Autowired TweetRepository tweetRepository; ! @RequestMapping(value = "/tweet/{id}",...) public String show(Model model, @PathVariable String id) { Tweet tweet = tweetRepository.findByTweetId(id); model.addAttribute("tweet", tweet); return "/tweet/show"; 54
- 61. 55 Neo4j-Template (I) ๏well knownSpring Template Pattern ๏Resource / Transaction Management ๏Convenience Methods ๏Nodes and Entities handling & conversion ๏Fluent Query Result Handling ๏Works also via REST with Neo4j-Server ๏Exception Translation
- 62. 56 REST-Client-Support ! ๏drop-in replacement forthe embedded GraphDatabase ๏works transparently with POJO-Entity-Mapping and Neo4j-Template @EnableNeo4jRepositories @Configuration class MyConfig extends Neo4jConfiguration { @Bean public GraphDatabaseService graphDatabaseService() { return new SpringRestGraphDatabase(URL); } }
- 63. 57 Cypher Query Language ๏Declarativequery language •Describe what you want, not how •Based on graph patterns •Expressive - easy to read and learn •Powerful ‣Read and write operations ‣Support for graph concepts
- 64. 58 Cypher Query Language ๏Write-Queriescreate graph structures •Add follows to a user •Create a complete tweet. MERGE (user:User {user:"starbuxman"}) FOREACH (name in ["ah3rz","springsource","mesirii"] | MERGE (other:User {user:name}) MERGE (user)-[:FOLLOWS]->(other)) ! MATCH (user:User {name:"mesirii"}) CREATE (tweet:Tweet {text:"Love to work with @starbuxman on #SpringData #Neo4j demos"})<- [:POSTED]-(user)) FOREACH (tag in ["SpringData","Neo4j"] | MERGE (t:Tag {tag:tag}) MERGE (tweet)-[:TAGGED]->(t))
- 65. 59 Cypher Query Language ๏Read-Queriesanswer use-case questions •Whom should I follow? •Which tags where often used with "java"? MATCH (me:User {user:"starbuxman"}) MATCH (me)-[:POSTED]->(tweet)-[:MENTIONS]->(user) WHERE not (me)-[:FOLLOWS]-(user) RETURN user ! MATCH (tag:Tag {tag:"java"}) MATCH (tag)<-[:TAGGED]-(tweet)-[:TAGGED]->(co_tag) RETURN co_tag.tag, COUNT(*) as cnt ORDER BY cnt DESC LIMIT 10
- 66.
- 67. 61 Spring Boot ๏Rapid ApplicationDevelopment ๏Like a dynamic programming enviroment but in Java & Spring ๏spring-boot-starter ๏spring-data, spring-data-neo4j, spring-data- rest ๏web, thymeleaf
- 68. 62 Spring Data Neo4j3.x ๏Support for Neo4j 2.x ๏Support for Labels ๏Support for "optional schema" ๏Indexes + Constraints ๏New Cypher Syntax ๏Supports geospatial primitives
- 69.
- 70. 64 Todays Coding Exercise ๏usesSpring Social (minimally) ๏Simple Domain:Tweets, Users,Tags •connected Entities •Repositories, Service ๏Standalone Application with spring-boot •either embedded Neo4j-Database, or
- 71.
- 72. X Spring Data Neo4jGuidebook “Good Relationships” ๏Spring Data Neo4j comes with a great Guide Book, featuring: •Forewords by Rod Johnson and Emil Eifrem •An easy to read, narrative tutorial walkthrough for cineasts.net “I’m excited about Spring Data Neo4j.... Spring Data Neo4j makes working with Neo4j amazingly easy, and therefore has the potential to make you more successful as a developer.” Rod Johnson, founder of Spring
- 73.
- 74. 66 O‘Reilly Spring DataBook „Modern Data Access for Enterprise •book by the Spring Data project leads •introduction to Spring Data & SD-repositories •covers all subprojects •e-book available forYOU,
- 75. ConJnue here ๏See theSpring Data Neo4j site for more info: http://spring.neo4j.org ๏Again, don’t miss our guidebook on Spring Data Neo4j published by InfoQ also printed http://bit.ly/sdn-book ๏All about Neo4j: http://neo4j.org ๏Neo4j & SDN videos and webinars: http://video.neo4j.org ๏local Neo4j meetup groups http://neo4j.meetup.com
- 76. • 5/13 -How eBay Now (Shutl) delivers even faster using Neo4j at eBay in San Jose • 5/20 - WEBINAR: Data-Driven Applications with Spring and Neo4j • 5/23 - Let Me Graph That For You with Ian Robinson, co- author of Graph Databases, at Hack Reactor in SF • 5/28 - GraphPANEL Silicon Valley at AOL in Palo Alto • And more at: meetup.com/graphdb-sf UPCOMING EVENTS
- 77. 68 ThankYou! Feel free toreach out with questions on ! •Twitter @starbuxman, @mesirii, •Spring-Forums, •Neo4j-Google-Group •Stack-Overflow