Neo4j Database and Graph Platform Overview
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The document describes the Neo4j graph database and platform vision. It discusses key components like index-free adjacency, ACID transactions, clustering, and hardware optimizations. It outlines use cases for graph analytics, transactions, AI, and data integration. It also covers drivers, APIs, visualization, and administration tools. Finally, it previews upcoming innovations in Neo4j 3.4 like geospatial support, native string indexes, and rolling upgrades.
![(Cypher)
-[:IS]->
(Everywhere)](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-27-320.jpg)
![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)](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-74-320.jpg)
![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)](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-75-320.jpg)
![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)](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-76-320.jpg)
![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)](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-77-320.jpg)
![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)
MERGE (point:Point {id: id})
SET point.latitude = latitude,
point.longitude = longitude
MERGE (user:User {name: userName})
MERGE (user)-[:EDITED]->(point)](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-78-320.jpg)
![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)
)](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-80-320.jpg)
![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
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](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-81-320.jpg)
![apoc.create.addLabels
MATCH (n:Movie)
CALL apoc.create.addLabels( id(n), [ n.genre ] ) YIELD node
REMOVE node.genre
RETURN node](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-85-320.jpg)
![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();
}](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-92-320.jpg)
![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();
}](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-93-320.jpg)
![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();
}](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-94-320.jpg)
![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.
What is it?
type Planet {
name: String
climate: String
}
type Character {
name: String
friends: [Character]
homeWorld: Planet
species: Species
}
type Species {
name: String
lifespan: Int
origin: Planet
}](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-99-320.jpg)
![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")
}'
)](https://image.slidesharecdn.com/graph-tour-boston-boyd-platform-db-overview-180510165516/85/Neo4j-Database-and-Graph-Platform-Overview-106-320.jpg)
Neo4j Database and Graph Platform Overview
- 1. Neo4j Database & Graph Platform GraphTour Boston – May 8, 2018 Ryan Boyd @ryguyrg
- 2. An IT Portfolio View of Graph Technologies: The Neo4j Graph Platform Vision
- 3. The Neo4j Graph Platform Vision Graph Transactions
- 5. Key Architecture Components 1 Index-Free Adjacency In memory and on flash/disk 2 vs ACID Foundation Required for safe writes 3 Full-Stack Clustering Causal consistency 5 Graph Engine Cost-Based Optimizer, Graph Statistics, Cypher Runtime, … 6 Hardware Optimizations For next-gen infrastructure Language, Drivers, Tooling Developer Experience, Graph Efficiency, Type Safety 4
- 6. At Write Time: data is connected as it is stored At Read Time: Lightning-fast retrieval of data and relationships via pointer chasing Index-Free Adjacency:
- 7. Connectedness and Size of Data Set ResponseTime Relational and Other NoSQL Databases 0 to 2 hops 0 to 3 degrees Thousands of connections 1000x Advantage Tens to hundreds of hops Thousands of degrees Billions of connections Neo4j “Minutes to milliseconds” “Minutes to Milliseconds” Real-Time Query Performance
- 8. Neo4j: Enabling the Connected Enterprise Consumers of Connected Data 8 AI & Graph Analytics • Sentiment analysis • Customer segmentation • Machine learning • Cognitive computing • Community detection Transactional Graphs • Fraud detection • Real-time recommendations • Network and IT operations management • Knowledge Graphs • Master Data Management Discovery & Visualization • Fraud detection • Network and IT operations • Product information management • Risk and portfolio analysisData Scientists Business Users Applications
- 9. The Neo4j Graph Platform Vision Graph Analytics Graph Transactions
- 10. Finds the optimal path or evaluates route availability and quality Evaluates how a graph is clustered or partitioned Determines the importance of distinct nodes in the network Neo4j Graph Algorithm Library
- 12. The Neo4j Graph Platform Vision Graph Analytics Graph Transactions AI
- 13. The Neo4j Graph Platform Vision Graph Analytics Graph Transactions AI Data Integration
- 14. Common Integration Patterns Inside the Enterprise From Disparate Silos To Cross-Silo Connections From Tabular Data To Connected Data From Data Lake Analytics to Real-Time Operations
- 15. The Neo4j Graph Platform Vision Graph Analytics Graph Transactions AI Data Integration Drivers & APIs APPLICATIONS DEVELOPERS
- 16. 16 Drivers & APIs • Native Language Drivers • Java • .Net • Python • JavaScript • more to come… • Massive Community Support (Go, Ruby, R, Perl, Clojure, C/C++, …) • Partners like GraphAware (PHP Client)
- 17. The Neo4j Graph Platform Vision Graph Analytics Graph Transactions AI Data Integration Drivers & APIs APPLICATIONS BUSINESS USERS Discovery & Visualization DATA ANALYSTS DEVELOPERS
- 18. Discovery & Visualization 18 Neo4j Browser Custom / JS Libraries Partner Applications
- 19. The Neo4j Graph Platform Vision Graph Analytics Graph Transactions AI Data Integration Drivers & APIs APPLICATIONS BUSINESS USERS Discovery & Visualization DATA ANALYSTS DEVELOPERS Development & Administration ADMINS
- 20. Development & Administration Neo4j Browser Neo4j Desktop
- 21. The Neo4j Graph Platform Vision Analytics Tooling BUSINESS USERS DEVELOPERS ADMINS Graph Analytics Graph Transactions Data Integration Discovery & Visualization DATA ANALYSTS DATA SCIENTISTS Drivers & APIs APPLICATIONS AI Development & Administration
- 23. Cypher for Apache® Spark™ Relational Spark SQL Graph
- 25. Better Access to Technology Partner Software New Neo4j-Provided Capabilities 25 • Improved visibility, provisioning, and integration of partners’ software • Products and add-ons that satisfy basic Neo4j project needs across the software lifecycle Platform Means:
- 26. The Neo4j Graph Platform Vision Analytics Tooling BUSINESS USERS DEVELOPERS ADMINS Graph Analytics Graph Transactions Data Integration Discovery & Visualization DATA ANALYSTS DATA SCIENTISTS Drivers & APIs APPLICATIONS AI Development & Administration
- 28. opencypher.org
- 29. Neo4j Product Update Latest Innovations
- 30. 3.3 Latest GA Release Recap (Oct ‘17)
- 31. “Least Connected” load balancing Faster & more memory efficient runtime Batch generation of IDs Schema operations now take local locks Page cache metadata moved off heap Native GB+ Tree numeric indexes Bulk importer paging & memory improvements Dynamically reload config settings without restarting Neo4j Admin & Config Storage & Indexing Memory Management Kernel & Transactions Cypher Engine Drivers & Bolt Protocol Neo4j 3.3 Performance Improvements
- 32. Concurrent/Transactional Write Performance 25000 20000 15000 10000 5000 0 Neo4j 2.2 Neo4j 2.3 Neo4j 3.0 Neo4j 3.1 Neo4j 3.2 Neo4j 3.3 69% 31% 59% 38% 55% (Simulates Real-World Workloads)
- 33. ` RR RR RR RRRRRR READ REPLICAS London ` C C RR RR RR RRRRRR READ REPLICAS New York Encryption Multi-Data Center Clustering
- 34. LDAP & Active DirectoryUser & Roles Procedure Access Controls Neo4j Security Foundation Kerberos Strong Security Intra-Cluster Encryption Security Event Logging TLS Wire Encryption
- 35. Neo4j Desktop 1.0 • Mission control for developers • Connect to both local and remote Neo4j servers • Free with registration • Includes development license for Neo4j Enterprise Edition • Keeps you up to date with latest versions, plugins, etc. • https://neo4j.com/download
- 36. What’s Next? 3.4
- 39. 9 “Recommend a shirt available in a store close by in the men’s department” Location Building Floor Rack
- 40. Scalability
- 41. Multi-Clustering Support for Global Internet Apps Horizontally partition graph by domain (country, product, customer, data center) 41 Multi-tenancy Geo Partitioning Write Scaling sa cluster uk cluster us_east cluster hk cluster
- 42. Performance
- 43. Neo4j 3.3 Neo4j 3.4 RC1 70% Faster 250 500 0 750 1000 Neo4j 3.2 Reads – Neo4j Enterprise Cypher Runtime 10% Faster Mixed Workload Read Benchmark
- 44. Supercharging Graph Writes One Component: 80% of transactional write overhead (!!!) ?QM ,. Index Insertion
- 45. ü ACID ü Optimized for graph ü Fast Reads ü ~10x Faster Writes Neo4j GB+ Tree Index Label Groupings (Neo4j 3.2) Numerics (Neo4j 3.3) Strings (Neo4j 3.4) QM ,. External Index Provider Native Neo4j Index Supercharging Graph Writes
- 46. 6 Writes with Native String Indexes 500% improvement Neo4j 3.4 RC1 Performance
- 47. Ops & Admin
- 48. 8 Rolling Upgrades 3.4 3.4 3.44.0 4.0 4.0 Auto Cache Reheating Available in Neo4j 3.4! Upgrade to new versions with zero downtime Store upgrades may require downtime but can be done subsequently For Restarts, Restores, and Cluster Expansion
- 50. 50
- 51. 51
- 52. How we think How we’re wired
- 55. 55
- 56. 56 Neo4j Bloom
- 57. Discovery & Visualization 57 Neo4j Browser Custom / JS Libraries Partner Applications
- 58. Demo Time!
- 65. > 400 procedures and functions
- 68. Data Integration
- 69. Load from a relational database
- 70. 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
- 71. 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
- 72. 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
- 73. Load XML
- 74. 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)
- 75. 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)
- 76. 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)
- 77. 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)
- 78. 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) MERGE (point:Point {id: id}) SET point.latitude = latitude, point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
- 79. Load JSON
- 80. 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) )
- 81. 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 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
- 83. 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
- 84. 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
- 85. apoc.create.addLabels MATCH (n:Movie) CALL apoc.create.addLabels( id(n), [ n.genre ] ) YIELD node REMOVE node.genre RETURN node
- 86. Cypher Execution
- 87. Run large scale updates CALL apoc.periodic.iterate( 'MATCH (n:Person) RETURN n', 'SET n.name = n.firstName + " " + n.lastName', {batchSize:10000, parallel:true})
- 92. 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(); }
- 93. 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(); }
- 94. 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(); }
- 95. GraphQL
- 96. 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. What is it?
- 97. 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. What is it?
- 98. 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. What is it?
- 99. 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. What is it? type Planet { name: String climate: String } type Character { name: String friends: [Character] homeWorld: Planet species: Species } type Species { name: String lifespan: Int origin: Planet }
- 100. Manual mapping code
- 102. Auto translating GraphQL → Cypher github.com/neo4j-graphql/neo4j-graphql github.com/neo4j-graphql/neo4j-graphql-js
- 106. 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") }' )
- 107. 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
- 108. JavaScript Library
- 110. The GRAND stack
- 111. The GRAND stack GraphQL React Apollo Neo4j Database
- 112. import {neo4jgraphql} from 'neo4j-graphql-js'; const resolvers = { Query: { Movie(object, params, ctx, resolveInfo) { return neo4jgraphql(object, params, ctx, resolveInfo); } } };
- 114. How do I find out about more cool stuff?
- 116. This Week in Neo4j - Developer Update neo4j.com/tag/twin4j
- 117. Get Dressed: Neo4j Graph Gear Store graphgearstore.com
- 119. Thanks!