Extensibility for Java Developers in Neo4j

In this presentation, you will find out all the different ways you can extend Neo4j and easily integrate it with other popular technologies! From GraphQL to in-house applications to Spring Data, you can utilize your existing technology stack and plug it into Neo4j to maximize business value from your data as a graph of connected information.

Transcript

1. Extensibility for Java Developers in Neo4j Jennifer Reif Neo4j @JMHReif
2. Software Engineer, Neo4j - Developer - Blogger - Conference speaker - Continuous learner Hobbies: cats, coffee, and traveling :) jennifer.reif@neo4j.com @JMHReif Who Am I?
3. What is a Graph Database?
4. Chart Graph
5. Database - specifically graph • Database: a structured set of data held in a computer, especially one that is accessible in various ways. • Relational? NoSQL? Graph? • Graph database: uses graph structures for semantic queries with nodes, edges and properties to represent and store data.
6. Neo4j is a Graph Database
7. Neo4j Fast Reliable No size limit Binary & HTTP protocol ACID transactions 2-4 M
 ops/s per core Clustering scale & HA Official Drivers Neo4j is a database
8. Neo4j Native GraphDB Cypher Query Language Developer Workbench Extensible Procedures & Functions Schema Free Property Graph Model Graph Visualization Graph Storage Neo4j is a graph database
9. Neo4j Developer Surface Native LanguageDrivers BOLT User- Defined Procedure 2000-2010 0.x Embedded Java API 2010-2014 1.x REST 2014-2015 2.x Cypher over HTTP 2016 3.0.x Bolt, Official Language Drivers, User-Defined Procedures 2016 3.1.x User-Defined Functions 2017 3.2.x User-Defined Aggregation Functions
10. Neo4j Developer Surface Native LanguageDrivers BOLT User- Defined Procedure 2000-2010 0.x Embedded Java API 2010-2014 1.x REST 2014-2015 2.x Cypher over HTTP 2016 3.0.x Bolt, Official Language Drivers, User Defined Procedures 2016 3.1.x User Defined Functions 2017 3.2.x User Defined Aggregation Functions
11. Interfaces to Neo4j • BOLT: • binary protocol / Cypher-only pipe • type system similar to Cypher • official drivers • HTTP: • familiar protocol • JSON (lossy) • community drivers / standard HTTP tooling • Embedded: • Java-only • core API • in-process
12. Bolt Binary Protocol • High-performance protocol • Secure transport (auth/TLS) • Shared connections (pooling) • More inclusive data type system • Procedure functionality
13. Neo4j Bolt Drivers
14. Official Drivers
15. Java Driver import org.neo4j.driver.v1.*; Driver driver = GraphDatabase.driver( "bolt://localhost", AuthTokens.basic( "neo4j", "neo4j" ) ); Session session = driver.session(); session.run( "CREATE (a:Person {name:'Arthur', title:'King'})" ); StatementResult result = session.run( "MATCH (a:Person) WHERE a.name = 'Arthur' RETURN a.name AS name, a.title AS title" ); while ( result.hasNext() ) { Record record = result.next(); System.out.println( record.get( "title" ).asString() + " " + record.get("name").asString() ); } session.close(); driver.close(); github.com/neo4j/neo4j-java-driver / org.neo4j.driver:neo4j-java-driver:1.5.0
16. Javascript Driver var neo4j = require('neo4j-driver').v1; var driver = neo4j.driver("bolt://localhost", neo4j.auth.basic("neo4j", "neo4j")); var session = driver.session(); session .run( "CREATE (a:Person {name:'Arthur', title:'King'})" ) .then( function() { return session.run( "MATCH (a:Person) WHERE a.name = 'Arthur' RETURN a.name AS name, a.title AS title" ) }) .then( function( result ) { console.log( result.records[0].get("title") + " " + result.records[0].get("name") ); session.close(); driver.close(); }) github.com/neo4j/neo4j-javascript-driver / npm install neo4j-driver
17. Python Driver from neo4j.v1 import GraphDatabase, basic_auth driver = GraphDatabase.driver("bolt://localhost", auth=basic_auth("neo4j", "neo4j")) session = driver.session() session.run("CREATE (a:Person {name:'Arthur', title:'King'})") query = "MATCH (a:Person) WHERE a.name = 'Arthur' RETURN a.name AS name, a.title AS title" result = session.run(query) for record in result: print("%s %s" % (record["title"], record["name"])) session.close() github.com/neo4j/neo4j-python-driver / pip install neo4j-driver
18. .NET Driver using Neo4j.Driver.V1; using (var driver = GraphDatabase.Driver("bolt://localhost", AuthTokens.Basic("neo4j", "neo4j"))) using (var session = driver.Session()) { session.Run("CREATE (a:Person {name:'Arthur', title:'King'})"); var result = session.Run("MATCH (a:Person) WHERE a.name = 'Arthur' RETURN a.name AS name, a.title AS title"); foreach (var record in result) { Output.WriteLine($"{record["title"].As<string>()} {record["name"].As<string>()}"); } } github.com/neo4j/neo4j-dotnet-driver / PM> Install-Package Neo4j.Driver-1.0.3
19. Community Drivers
20. Spring Data Neo4j & Object-Graph Mapper
21. https://projects.spring.io/spring-data-neo4j/
22. https://github.com/spring-projects/spring-data-neo4j
23. Capabilities • Can use with SpringBoot • Annotation-based OGM for POJOs • Connect to Neo4j with Bolt, HTTP, and embedded • Interface-based repository support • Persistence lifecycle events
24. @NodeEntity public class Person { @Id @GeneratedValue private Long id; private String name; private int born; @Relationship(type = "ACTED_IN") private List<Movie> movies = new ArrayList<>(); } @NodeEntity public class Movie { … @JsonIgnoreProperties("movie") @Relationship(type = "ACTED_IN", direction = Relationship.INCOMING) private List<Role> roles; } @RelationshipEntity(type = "ACTED_IN") public class Role { @Id @GeneratedValue private Long id; private List<String> roles = new ArrayList<>(); @StartNode private Person person; @EndNode private Movie movie; }
25. public interface MovieRepository extends Neo4jRepository<Movie, Long> { //derived finder methods - auto-mapping Movie findByTitle(@Param("title") String title); Collection<Movie> findByTitleLike(@Param("title") String title); @Query("MATCH (m:Movie)<-[r:ACTED_IN]-(a:Person) RETURN m,r,a LIMIT {limit}") Collection<Movie> graph(@Param("limit") int limit); }
26. @Service public class MovieService { private final MovieRepository movieRepository; public MovieService(MovieRepository movieRepository) { this.movieRepository = movieRepository; } @Transactional(readOnly = true) public Movie findByTitle(String title) { return movieRepository.findByTitle(title); } @Transactional(readOnly = true) public Collection<Movie> findByTitleLike(String title) { return movieRepository.findByTitleLike(title); } @Transactional(readOnly = true) public Map<String, Object> graph(int limit) { Collection<Movie> result = movieRepository.graph(limit); return toD3Format(result); } } https://neo4j.com/developer/spring-data-neo4j/
27. Neo4j Developer Surface Native LanguageDrivers BOLT User- Defined Procedure 2000-2010 0.x Embedded Java API 2010-2014 1.x REST 2014-2015 2.x Cypher over HTTP 2016 3.0.x Bolt, Official Language Drivers, User-Defined Procedures 2016 3.1.x User-Defined Functions 2017 3.2.x User-Defined Aggregation Functions
28. Procedures Functions Aggregate Functions
29. Can be written in any JVM language
30. User-Defined Procedures
31. Callable as Stand-Alone or in Cypher Statements
32. CALL example.search('User','name:Brook*')
33. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, 
 @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream()
 .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
34. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, 
 @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream()
 .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
35. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, 
 @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream()
 .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
36. try ( Driver driver = GraphDatabase.driver("bolt://localhost", Config.build().toConfig()) ) { try ( Session session = driver.session() ) { String call = "CALL example.search('User',$query)"; Map<String,Object> params = singletonMap("query", "name:Brook*"); StatementResult result = session.run(call, params); while ( result.hasNext() ) { // process results } } }
37. try ( Driver driver = GraphDatabase.driver("bolt://localhost", Config.build().toConfig()) ) { try ( Session session = driver.session() ) { String call = "CALL example.search('User',$query)"; Map<String,Object> params = singletonMap("query", "name:Brook*"); StatementResult result = session.run(call, params); while ( result.hasNext() ) { // process results } } }
38. User-Defined Functions
39. Useable in any Cypher expression or lightweight computation
40. RETURN example.join(['Hello','World'],' ') => "Hello World"
41. public class Join { @UserFunction @Description("example.join(['s1','s2',...], delimiter) - join the given strings with the given delimiter.") public String join( @Name(“strings") List<String> strings, @Name(value = "delimiter", defaultValue = ",") String delimiter) { if ( strings == null || delimiter == null ) { return null; } return String.join( delimiter, strings ); } }
42. public class Join { @UserFunction @Description("example.join(['s1','s2',...], delimiter) - join the given strings with the given delimiter.") public String join( @Name("strings") List<String> strings, @Name(value = "delimiter", defaultValue = ",") String delimiter) { if ( strings == null || delimiter == null ) { return null; } return String.join( delimiter, strings ); } }
43. public class Join { @UserFunction @Description("example.join(['s1','s2',...], delimiter) - join the given strings with the given delimiter.") public String join( @Name("strings") List<String> strings, @Name(value = "delimiter", defaultValue = ",") String delimiter) { if ( strings == null || delimiter == null ) { return null; } return String.join( delimiter, strings ); } }
44. try ( Driver driver = GraphDatabase.driver( "bolt://localhost", 
 Config.build().toConfig() ) ) { try ( Session session = driver.session() ) { String query = "RETURN example.join(['Hello','World']) AS result"; String result = session.run( query ) .single().get( "result" ).asString(); } }
45. User-Defined Aggregation Functions
46. Custom, efficient aggregations for Data Science and BI
47. UNWIND ['abc', 'abcd', 'ab'] AS string
 RETURN example.longestString(string) => 'abcd'
48. public class LongestString { @UserAggregationFunction @Description( "aggregates the longest string found" ) public LongStringAggregator longestString() { return new LongStringAggregator(); } public static class LongStringAggregator { private int longest; private String longestString; @UserAggregationUpdate public void findLongest( @Name( "string" ) String string ) { if ( string != null && string.length() > longest) { longest = string.length(); longestString = string; } } @UserAggregationResult public String result() { return longestString; } } }
49. public class LongestString { @UserAggregationFunction @Description( "aggregates the longest string found" ) public LongStringAggregator longestString() { return new LongStringAggregator(); } public static class LongStringAggregator { private int longest; private String longestString; @UserAggregationUpdate public void findLongest( @Name( "string" ) String string ) { if ( string != null && string.length() > longest) { longest = string.length(); longestString = string; } } @UserAggregationResult public String result() { return longestString; } } }
50. public class LongestString { @UserAggregationFunction @Description( "aggregates the longest string found" ) public LongStringAggregator longestString() { return new LongStringAggregator(); } public static class LongStringAggregator { private int longest; private String longestString; @UserAggregationUpdate public void findLongest( @Name( "string" ) String string ) { if ( string != null && string.length() > longest) { longest = string.length(); longestString = string; } } @UserAggregationResult public String result() { return longestString; } } }
51. public class LongestString { @UserAggregationFunction @Description( "aggregates the longest string found" ) public LongStringAggregator longestString() { return new LongStringAggregator(); } public static class LongStringAggregator { private int longest; private String longestString; @UserAggregationUpdate public void findLongest( @Name( "string" ) String string ) { if ( string != null && string.length() > longest) { longest = string.length(); longestString = string; } } @UserAggregationResult public String result() { return longestString; } } }
52. try ( Driver driver = GraphDatabase.driver("bolt://localhost", 
 Config.build().toConfig()) ) { try ( Session session = driver.session() ) { String query = "UNWIND ['abc', 'abcd', 'ab'] AS string " + "RETURN example.longestString(string) AS result"; String result = session.run(query).single().get("result").asString(); } }
55. Awesome Procedures On Cypher
57. 450+ procedures and functions
59. APOC - Data Integration
60. Load from a relational database
61. apoc.load.jdbc WITH "jdbc:mysql://localhost:3306/northwind?user=root" AS url CALL apoc.load.jdbc(url,"products") 
 YIELD row MERGE (p:Product {id: row.ProductID}) SET p.name = row.ProductName, p.unitPrice = row.UnitPrice
62. WITH "jdbc:mysql://localhost:3306/northwind?user=root" AS url CALL apoc.load.jdbc(url,"products") 
 YIELD row MERGE (p:Product {id: row.ProductID}) SET p.name = row.ProductName, p.unitPrice = row.UnitPrice Execute procedure
63. Apply Cypher transformation WITH "jdbc:mysql://localhost:3306/northwind?user=root" AS url CALL apoc.load.jdbc(url,"products") 
 YIELD row MERGE (p:Product {id: row.ProductID}) SET p.name = row.ProductName, p.unitPrice = row.UnitPrice
64. Load XML
65. apoc.load.xml CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
66. Execute procedure CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta? *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
67. UNWIND the array of elements CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta? *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
68. Filter rows CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta? *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
69. Apply Cypher transformation CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta? *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
70. Load JSON
71. apoc.load.json WITH "https://api.stackexchange.com/2.2/questions? pagesize=100&order=desc&sort=creation&tagged=neo4j&site=stackoverflow&filter=!5-i6Zw8Y)4W7vpy91PMYsKM- k9yzEsSC1_Uxlf" AS url CALL apoc.load.json(url) YIELD value UNWIND value.items AS q MERGE (question:Question {id:q.question_id}) 
 ON CREATE SET question.title = q.title, 
 question.share_link = q.share_link, 
 question.favorite_count = q.favorite_count MERGE (owner:User {id:q.owner.user_id}) 
 ON CREATE SET owner.display_name = q.owner.display_name
 MERGE (owner)-[:ASKED]->(question) FOREACH (tagName IN q.tags | 
 MERGE (tag:Tag {name:tagName}) MERGE (question)-[:TAGGED]->(tag))
 FOREACH (a IN q.answers | MERGE (question)<-[:ANSWERS]-(answer:Answer {id:a.answer_id}) MERGE (answerer:User {id:a.owner.user_id}) 
 ON CREATE SET answerer.display_name = a.owner.display_name 
 MERGE (answer)<-[:PROVIDED]-(answerer))
72. WITH "https://api.stackexchange.com/2.2/questions?pagesize=100&order=desc&sort=creation&tagged=neo4j&site=stackoverflow&filter=!5- i6Zw8Y)4W7vpy91PMYsKM-k9yzEsSC1_Uxlf" AS url CALL apoc.load.json(url) YIELD value UNWIND value.items AS q MERGE (question:Question {id:q.question_id}) 
 ON CREATE SET question.title = q.title, 
 question.share_link = q.share_link, 
 question.favorite_count = q.favorite_count MERGE (owner:User {id:q.owner.user_id}) 
 ON CREATE SET owner.display_name = q.owner.display_name
 MERGE (owner)-[:ASKED]->(question) FOREACH (tagName IN q.tags | 
 MERGE (tag:Tag {name:tagName}) MERGE (question)-[:TAGGED]->(tag))
 FOREACH (a IN q.answers | MERGE (question)<-[:ANSWERS]-(answer:Answer {id:a.answer_id}) MERGE (answerer:User {id:a.owner.user_id}) 
 ON CREATE SET answerer.display_name = a.owner.display_name 
 MERGE (answer)<-[:PROVIDED]-(answerer)) Use FOREACH for arrays within a row
73. APOC - Graph Refactoring
74. apoc.refactor.mergeNodes MATCH (n:Person) WITH n.email AS email, collect(n) as people WHERE size(people) > 1 CALL apoc.refactor.mergeNodes(people) YIELD node RETURN node
75. apoc.refactor.mergeNodes MATCH (n:Person) WITH n.email AS email, collect(n) as people WHERE size(people) > 1 CALL apoc.refactor.mergeNodes(people) YIELD node RETURN node
76. apoc.create.addLabels MATCH (n:Movie) CALL apoc.create.addLabels(id(n), [n.genre]) YIELD node REMOVE node.genre RETURN node
77. apoc.create.addLabels MATCH (n:Movie) CALL apoc.create.addLabels( id(n), [ n.genre ] ) YIELD node REMOVE node.genre RETURN node
78. APOC - Cypher Execution
79. Run large scale updates CALL apoc.periodic.iterate( 'MATCH (n:Person) RETURN n', 'SET n.name = n.firstName + " " + n.lastName',
 {batchSize:10000, parallel:true})
80. APOC - Utility Functions
81. Compute soundex encoding of a string CALL apoc.text.phonetic('Hello, dear User!') YIELD value RETURN value 
 // will return 'H436'
82. How similar do two strings sound? CALL apoc.text.phoneticDelta(
 'Hello Mr Rabbit', 'Hello Mr Ribbit') 
 // will return '4' (very similar)
83. Extract domain names WITH 'http://www.example.com/all-the-things' AS url RETURN apoc.data.domain(url) // will return 'www.example.com'
84. Date to Timestamp RETURN apoc.date.parse(
 '2015/03/25 03:15:59',
 's', 
 'yyyy/MM/dd HH:mm:ss'
 )
 
 // will return 1427253359
85. Timestamp to Date RETURN apoc.date.format(
 1427253359, 
 's', 
 'yyyy/MM/dd HH:mm:ss'
 ) 
 // will return "2015/03/25 03:15:59"
86. And many more! https://neo4j-contrib.github.io/neo4j-apoc-procedures/
87. Kafka and Neo4j
89. Functionality • Still in development! • Stream transaction event handler events to a Kafka topic • Read Kafka records from given topic(s) • Treat records as input parameters • Uses configured Cypher statements to merge into the graph
90. What Do I Need? • Configuration properties • Set up node-patterns to send to Kafka • Choose Labels and properties to include/exclude • Patterns separated by semicolon
91. neo4j.conf kafka.zookeeper.connect=localhost:2181 kafka.bootstrap.servers=localhost:9092 kafka.acks=1 kafka.num.partitions=1 kafka.retries=2 kafka.batch.size=16384 kafka.buffer.memory=33554432 kafka.reindex.batch.size=1000 kafka.session.timeout.ms=15000 kafka.connection.timeout.ms=10000 kafka.replication=1 kafka.group.id=neo4j kafka.topics=neo4j kafka.patterns=neo4j:*
92. Label & Property Setup kafka.topics=topic1,topic2 kafka.patterns=topic1:*;topic2:Label1 {prop1, prop2}, topic1:Label1:Label2{*,-prop1}, topic2:Label3{-prop1,-prop2,prop3}
93. RDF data into Neo4j
96. Import RDF triples
97. semantics.importRDF CALL semantics.importRDF("file:///industry.ntriples","N-Triples", {})
98. Thomson Reuters' OpenPermID Graph
99. Graph-Aided Search
103. conf/neo4j.conf com.graphaware.runtime.enabled=true
 
 #ES becomes the module ID:
 com.graphaware.module.ES. 2=com.graphaware.module.es.ElasticSearchModuleBootstrapper
 
 #URI of Elasticsearch
 com.graphaware.module.ES.uri=localhost
 
 #Port of Elasticsearch
 com.graphaware.module.ES.port=9201
104. Find nodes CALL ga.es.queryNode(‘{\"query\": {\"match\":{\"name\":=\"alessandro\"}}}') YIELD node, score RETURN node, score
105. Find relationships CALL ga.es.queryRelationship(‘{\"query\": {\"match\":{\"city\":\"paris\"}}}') YIELD relationship, score RETURN relationship, score
106. dzone.com/refcardz/graph-powered-search-neo4j-amp-elasticsearch
107. Versioned Graphs
110. Create node CALL graph.versioner.init('Person', 
 {ssn: 123456789, name: 'Marco'}, 
 {address: 'Via Roma 11'}
 )
111. Immutable properties CALL graph.versioner.init('Person', 
 {ssn: 123456789, name: 'Marco'}, 
 {address: 'Via Roma 11'}
 )
112. State properties CALL graph.versioner.init('Person', 
 {ssn: 123456789, name: 'Marco'}, 
 {address: 'Via Roma 11'}
 )
113. Update state MATCH (p:Person {name: "Marco"}) WITH p CALL graph.versioner.update(p, {address: 'Via Roma 12'}) YIELD node RETURN node
114. Pass in the new state MATCH (p:Person {name: "Marco"}) WITH p CALL graph.versioner.update(p, {address: 'Via Roma 12'}) YIELD node RETURN node
115. Spatial
117. Create spatial index CALL spatial.addWKTLayer('geom', 'wkt')
118. Add spatial property to nodes CREATE (d:District {...}) SET d.wkt = 'MULTIPOLYGON(((23.22, ... )))'
119. Add nodes to spatial index MATCH (d:District) WITH collect(d) AS districts CALL spatial.addNodes('geom', districts) YIELD node RETURN count(*)
120. Query nodes by location CALL spatial.withinDistance('geom',
 {latitude: 37.563440, longitude: -122.322265}, 1) 
 YIELD node AS d WITH d, d.wkt AS wkt, d.state AS state, d.district AS district LIMIT 1 MATCH (d)<-[:REPRESENTS]-(l:Legislator) MATCH (l)-[:SERVES_ON]->(c:Committee) MATCH (c)<-[:REFERRED_TO]-(b:Bill) MATCH (b)-[:DEALS_WITH]->(s:Subject) RETURN *
121. Finds nodes within 1km CALL spatial.withinDistance('geom',
 {latitude: 37.563440, longitude: -122.322265}, 1) 
 YIELD node AS d WITH d, d.wkt AS wkt, d.state AS state, d.district AS district LIMIT 1 MATCH (d)<-[:REPRESENTS]-(l:Legislator) MATCH (l)-[:SERVES_ON]->(c:Committee) MATCH (c)<-[:REFERRED_TO]-(b:Bill) MATCH (b)-[:DEALS_WITH]->(s:Subject) RETURN *
122. Continue with the rest of the query CALL spatial.withinDistance('geom',
 {latitude: 37.563440, longitude: -122.322265}, 1) 
 YIELD node AS d WITH d, d.wkt AS wkt, d.state AS state, d.district AS district LIMIT 1 MATCH (d)<-[:REPRESENTS]-(l:Legislator) MATCH (l)-[:SERVES_ON]->(c:Committee) MATCH (c)<-[:REFERRED_TO]-(b:Bill) MATCH (b)-[:DEALS_WITH]->(s:Subject) RETURN *
123. lyonwj.com/2016/08/09/neo4j-spatial-procedures- congressional-boundaries/
124. Graph-based Machine Learning
127. Annotating text CREATE (n:News) SET n.text = "Scores of people were already lying dead or injured inside a crowded Orlando nightclub, and the police had spent hours trying to connect with the gunman and end the situation without further violence. But when Omar Mateen threatened to set off explosives, the police decided to act, and pushed their way through a wall to end the bloody standoff."
128. Annotating text MATCH (n:News) CALL ga.nlp.annotate({text: n.text, id: id(n)}) YIELD result MERGE (n)-[:HAS_ANNOTATED_TEXT]->(result) RETURN result
129. Execute procedure MATCH (n:News) CALL ga.nlp.annotate({text: n.text, id: id(n)}) YIELD result MERGE (n)-[:HAS_ANNOTATED_TEXT]->(result) RETURN result
130. Relate to text node MATCH (n:News) CALL ga.nlp.annotate({text: n.text, id: id(n)}) YIELD result MERGE (n)-[:HAS_ANNOTATED_TEXT]->(result) RETURN result
132. Graph Algorithms
134. Insights from Algorithms
135. Graph
136. Graph of Thrones
137. • Single Source Short Path • All Pairs SSP • Parallel BFS / DFS • Minimum Weight Spanning Tree • Shortest Path • A* • Yen’s K-shortest paths • Random Walk • Strongly-Connected Components • Union Find / WCC • Label Propagation • Louvain • Triangle-Count / Clustering Coefficent • PageRank (baseline) • Betweeness • Closeness • Degree • Harmonic (new!) https://neo4j.com/docs/graph-algorithms/current/
138. Usage 1.Call as Cypher procedure 2.Pass in specification (Label, Prop, Query) and configuration 3.Execute and return results A. ~.stream variant returns (a lot) of results CALL algo.<name>.stream('Label','TYPE', {conf}) YIELD nodeId, score B. non-stream variant writes results to graph and returns statistics
 CALL algo.<name>('Label','TYPE', {conf})
139. Cypher Projection Pass in Cypher statement for node and relationship lists. 
 CALL algo.<name>( 'MATCH ... RETURN id(n)', 'MATCH (n)-->(m) RETURN id(n) as source, id(m) as target', 
 {graph:'cypher'})
140. Graph Algorithms Sandbox neo4j.com/sandbox
141. Graph ML Models
143. What’s In It? • Linear regression (Lauren Shin) • Multiple linear regression (Lauren Shin) • DeepGL/DeepWalk (Mark Needham) • …more coming soon!
144. https://towardsdatascience.com/graphs-and-linear-regression-734d1446e9cd
145. Graph Visualization
149. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }
150. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }
151. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }
152. GraphQL
153. What is it? GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data.
154. What is it? GraphQL is a query language for your API, and a server- side runtime for executing queries by using a type system you define for your data.
155. What is it? GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data.
156. What is it? GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. type Planet {
 name: String
 climate: String
 } type Character {
 name: String
 friends: [Character]
 homeWorld: Planet
 species: Species
 } type Species {
 name: String
 lifespan: Int
 origin: Planet
 }
157. Manual mapping code
159. Auto translating GraphQL → Cypher github.com/neo4j-graphql/neo4j-graphql github.com/neo4j-graphql/neo4j-graphql-js
160. Server-side Java extension
162. conf/neo4j.conf dbms.unmanaged_extension_classes=org.neo4j.graphql=/graphql
 dbms.security.procedures.whitelist=graphql.*
163. CALL graphql.idl('
 type Movie { title: String! released: Int actors: [Person] @relation(name:"ACTED_IN",direction:IN) } type Person { name: String! born: Int movies: [Movie] @relation(name:"ACTED_IN") }' )
164. WITH '{ Person(born: 1961) { name, born } }' as query, {} as params CALL graphql.execute(query,params) 
 YIELD result UNWIND result.Person as p RETURN p.name, p.born
165. Javascript extension
167. import {neo4jgraphql} from 'neo4j-graphql-js'; const resolvers = { Query: { Movie(object, params, ctx, resolveInfo) { return neo4jgraphql(object, params, ctx, resolveInfo); } } };
168. The GRAND stack
169. The GRAND stack GraphQL
 React
 Apollo
 Neo4j Database
170. dzone.com/refcardz/an-overview-of-graphql
171. How do I find out about more cool stuff???
172. This Week in Neo4j - Developer Update neo4j.com/tag/twin4j
173. Neo4j Community Site!
174. (you)-[:HAVE]->(questions)<-[:ANSWERS]-(jennifer) @JMHReif jennifer.reif@neo4j.com
175. How many did we cover? • Bolt drivers: https://neo4j.com/developer/language-guides/ • User-defined procs/funcs: https://neo4j.com/developer/procedures-functions/ • APOC: https://github.com/neo4j-contrib/neo4j-apoc-procedures • Neo4j/Kafka: https://github.com/neo4j-contrib/neo4j-streams • Neo4j/RDF: https://github.com/jbarrasa/neosemantics • Neo4j/Elasticsearch: https://github.com/graphaware/neo4j-to-elasticsearch • Versioned graphs: https://github.com/h-omer/neo4j-versioner-core • Spatial: https://github.com/neo4j-contrib/spatial • NLP: https://github.com/graphaware/neo4j-nlp • Graph Algorithms: https://github.com/neo4j-contrib/neo4j-graph-algorithms • ML models: https://github.com/neo4j-graph-analytics/ml-models • Graph Visualization: https://github.com/neo4j-contrib/neovis.js • GraphQL/GRANDstack: https://github.com/neo4j-graphql