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![NoSQL
id: 1
name: Arya Stark
gender: Female
type: Character
belongs: [5]
id: 5
name: House Stark of
Winterfell
region: The North
words: Winter is Coming
type: House](https://image.slidesharecdn.com/graphdbredisgraph-200309163721/75/Graph-Databases-RedisGraph-and-RedisInsight-8-2048.jpg)
![Cypher Query Language
●Open Standard - Supported by several Graph DBs
●WHAT rather than HOW
●Pattern matching
○ ASCII art for Graphs
■ () : node
■ - - > : relationship
●Most clauses from SQL
MATCH (e:Event)-[presented_by]->(p:Person)
WHERE e.name = “RedisGraph”
RETURN e.name, p.name](https://image.slidesharecdn.com/graphdbredisgraph-200309163721/75/Graph-Databases-RedisGraph-and-RedisInsight-16-2048.jpg)
![Commands
●GRAPH.QUERY [GraphName] [Query]
● GRAPH.EXPLAIN [GraphName] [Query]
●GRAPH.DELETE [GraphName]](https://image.slidesharecdn.com/graphdbredisgraph-200309163721/75/Graph-Databases-RedisGraph-and-RedisInsight-18-2048.jpg)
![CREATE (:Rider { name: 'Valentino Rossi' })-[:rides]->(:Team { name: 'Yamaha' }),
(:Rider { name: 'Dani Pedrosa' })-[:rides]->(:Team { name: 'Honda' }),
(:Rider { name: 'Andrea Dovizioso' })-[:rides]->(:Team { name: 'Ducati' })
MATCH (r:Rider)-[:rides]->(t:Team)
WHERE t.name = ‘Yamaha’
RETURN r, t
MATCH (r:Rider)-[:rides]->(t:Team { name: 'Ducati' })
RETURN count(r)
Queries](https://image.slidesharecdn.com/graphdbredisgraph-200309163721/75/Graph-Databases-RedisGraph-and-RedisInsight-20-2048.jpg)
![NoSQL
id: 1
name: Arya Stark
gender: Female
type: Character
belongs: [5]
id: 5
name: House Stark of
Winterfell
region: The North
words: Winter is Coming
type: House](https://crownmelresort.com/image.slidesharecdn.com/graphdbredisgraph-200309163721/75/Graph-Databases-RedisGraph-and-RedisInsight-8-2048.jpg)
![Cypher Query Language
●Open Standard - Supported by several Graph DBs
●WHAT rather than HOW
●Pattern matching
○ ASCII art for Graphs
■ () : node
■ - - > : relationship
●Most clauses from SQL
MATCH (e:Event)-[presented_by]->(p:Person)
WHERE e.name = “RedisGraph”
RETURN e.name, p.name](https://crownmelresort.com/image.slidesharecdn.com/graphdbredisgraph-200309163721/75/Graph-Databases-RedisGraph-and-RedisInsight-16-2048.jpg)
![Commands
●GRAPH.QUERY [GraphName] [Query]
● GRAPH.EXPLAIN [GraphName] [Query]
●GRAPH.DELETE [GraphName]](https://crownmelresort.com/image.slidesharecdn.com/graphdbredisgraph-200309163721/75/Graph-Databases-RedisGraph-and-RedisInsight-18-2048.jpg)
![CREATE (:Rider { name: 'Valentino Rossi' })-[:rides]->(:Team { name: 'Yamaha' }),
(:Rider { name: 'Dani Pedrosa' })-[:rides]->(:Team { name: 'Honda' }),
(:Rider { name: 'Andrea Dovizioso' })-[:rides]->(:Team { name: 'Ducati' })
MATCH (r:Rider)-[:rides]->(t:Team)
WHERE t.name = ‘Yamaha’
RETURN r, t
MATCH (r:Rider)-[:rides]->(t:Team { name: 'Ducati' })
RETURN count(r)
Queries](https://crownmelresort.com/image.slidesharecdn.com/graphdbredisgraph-200309163721/75/Graph-Databases-RedisGraph-and-RedisInsight-20-2048.jpg)
Uploaded byMd. Farhan Memon
Graph Databases - RedisGraph and RedisInsight
The presentation by Md. Farhan Memon at the Mumbai Redis Meetup discussed graph databases, focusing on RedisGraph—which includes features, installation steps, and the Cypher query language. It highlighted the structure of graph databases and potential use cases such as fraud detection and recommendation engines. Additionally, installation instructions for RedisGraph and RedisInsight were provided along with benchmark data for various datasets.
Graph Databases - RedisGraph and RedisInsight
- 1. GraphDB & RedisGraph Presentedby : Md. Farhan Memon Presented at : Mumbai Redis Meetup Mar 07, 2020
- 2. What to expect? ●Graphs& Graph DB structures ●RedisGraph ○ Features ○ Installation ○ Cypher ○ Commands ●RedisInsight ●Benchmarks
- 3. What is aGraph Database? Node 50% Edge 50% N1 E1 N2
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- 6. Database with GraphAPI! Graph DB
- 7. Tabular / SQL NameGender Arya Stark Female Jon Snow Male Tyrion Lannister Male Src Dest 1 1 2 3 3 2 Name House Stark of Winterfell House Lannister of Casterly Rock House Reed of Greywater Watch Character Belong House
- 8. NoSQL id: 1 name: AryaStark gender: Female type: Character belongs: [5] id: 5 name: House Stark of Winterfell region: The North words: Winter is Coming type: House
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- 11. Adjacency Matrix 1 2 3 1 23 1 1 1 1 2 3
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- 13. Features ●Property Graph ○ Nodes ○Relationships ○ Labels / Relationship Types ○ Properties name: RedisGraph name: RedisLabs name: Md. Farhan Event Company Person sponsored_by presented_by { on: 7/3/20 } ●Schema Less ●Cypher Query Language ●Supports Aggregations, Arithmetic exp., Sorts, etc. ●Tabular Resultset ●Faster & Better bulk loading
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- 15. RedisGraph Installation # Ubuntu/Linux $sudo apt-get install build-essential cmake m4 automake peg libtool autoconf # Mac $ brew install cmake m4 automake peg libtool autoconf $ git clone --recurse-submodules -j8 https://github.com/RedisGraph/RedisGraph.git $ cd RedisGraph $ make On successful execution, compiled binary could be found at: src/redisgraph.so
- 16. Cypher Query Language ●OpenStandard - Supported by several Graph DBs ●WHAT rather than HOW ●Pattern matching ○ ASCII art for Graphs ■ () : node ■ - - > : relationship ●Most clauses from SQL MATCH (e:Event)-[presented_by]->(p:Person) WHERE e.name = “RedisGraph” RETURN e.name, p.name
- 17.
- 18. Commands ●GRAPH.QUERY [GraphName] [Query] ●GRAPH.EXPLAIN [GraphName] [Query] ●GRAPH.DELETE [GraphName]
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- 20. CREATE (:Rider {name: 'Valentino Rossi' })-[:rides]->(:Team { name: 'Yamaha' }), (:Rider { name: 'Dani Pedrosa' })-[:rides]->(:Team { name: 'Honda' }), (:Rider { name: 'Andrea Dovizioso' })-[:rides]->(:Team { name: 'Ducati' }) MATCH (r:Rider)-[:rides]->(t:Team) WHERE t.name = ‘Yamaha’ RETURN r, t MATCH (r:Rider)-[:rides]->(t:Team { name: 'Ducati' }) RETURN count(r) Queries
- 21.
- 22. RedisInsight Installation ●Download RedisInsightfor Desktop from https://redislabs.com/redisinsight/ ●Ubuntu ○ chmod +x redisinsight-<platform>-<version> ●Windows & Mac ○ Run the installer ●Run the executable: ./redisinsight-<platform>-<version> ●After the web server starts, open http://127.0.0.1:8001 ●Add your first Redis database connection
- 23. Game of Thrones - Visualisingthe Complex Game
- 24. How to know Whenyou need Graph Database???
- 25. Use Case Scoringfor RedisGraph
- 26. Use Cases ●Fraud Detection ●RecommendationEngine ●Social Networks ●Network Load Balancing ●Quickest Route to work And many more...
- 27.
- 28. Data Sets Name DescriptionVertices Edges graph500 Synthetic Kronecker graph 2.4 M 64 M twitter Twitter user-follower directed graph 41.6 M 1.47 B ●K-hop path query time ●RedisGraph version: 1.0.0 GA ●Dated: January 2019
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- 33. Md. Farhan Memon /mdfarhanmemon #Redis#MumbaiRedisMeetup #RedisLabs #RedisGraph #BombayShirts