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Neo4j session

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Dr-Dipali Meher

This document discusses Neo4j and provides an introduction and agenda for a slip solving session on graph databases. It includes information on using the online Neo4j console and sandbox, creating nodes and relationships in Neo4j, and firing Cypher queries. Two example slips are provided on modeling social relationships and university data as a graph database and answering queries using Cypher.

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Neo4j Introduction & Slip Solving Sessions Dr. Dipali Meher MCS, M.Phil, NET, Ph.D PES Modern College of Arts, Science and Commerce, Ganeshkhind , Pune 16 dipalimeher@moderncollegegk.org
Agenda Introduction Using Online Console/Sandbox Creation of Nodes Creation of Relationships Firing Cypher Queries 2 Prepared by - Dr. Dipali Meher
ā€˜ā€™ Introduction 3 Prepared by - Dr. Dipali Meher
ā€˜ā€™ 4 Prepared by - Dr. Dipali Meher
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6
Use of graphs has created some of the most successful companies in the world 7 Prepared by - Dr. Dipali Meher
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Why Graphs DBS? ā–£ Intuitiveness ā–£ Speed ā–£ Agility 16 Prepared by - Dr. Dipali Meher
17 Prepared by - Dr. Dipali Meher
Using Online Console/Sandbox ā–£ https://console.neo4j.org/ ā–£ https://neo4j.com/sandbox/ 18 Prepared by - Dr. Dipali Meher
Creation of Nodes ā–£ To create single node with label with properties ā–£ create(alis:node name) ā–£ E.g. create(p:person{name:"Dipali", add:ā€œPuneā€œ}) ā–£ To create multiple nodes ā–£ create(alis:node name) Create(alies:node name) ā–£ create(p:person{name:"Dipali", add:ā€œPuneā€œ}) ā–£ create(p:person{name:ā€œShreya", add:ā€œPuneā€œ}) ā–£ To see the result always write return statement which is same as select in SQL 19 Prepared by - Dr. Dipali Meher
Creation of Relationships ā–£ Match: The MATCH clause allows you to specify the patterns Neo4j will search for in the database. ā–£ Syntax: ā–£ MATCH (a:node1), (b:node2) WHERE match the conditions ā–£ CREATE (a)-[r:RELTYPE]->(b) RETURN type(r) ā–£ example ā–£ MATCH (a:Person), (b:Person) WHERE a.name = ā€˜Dipali' AND b.name = ā€˜Shreya' CREATE (a)- [r:motherof]->(b) RETURN a,b 20 Prepared by - Dr. Dipali Meher
Firing Cypher Queries ā–£ With match keyword ā–£ Using the MATCH clause of Neo4j you can retrieve all nodes in the Neo4j database. MATCH (node:label) RETURN node 21 Prepared by - Dr. Dipali Meher
Slip: Person Model the following Society relations among people working in ā€œHCLā€, as a graph model, and answer the queries using Cypher. A person can be a friend of another person. A person may have siblings (brothers / sisters), A person may be a parent(mother/father) of another person. A person stays either in Pune or Mumbai or Kolhapur. A person may be working on either ā€˜Financeā€™ or ā€˜Inventoryā€™ or ā€˜Salesā€™ projects. 22 Prepared by - Dr. Dipali Meher
Person Person Person Person Person Person Name:Dipali Name:Meenal Name:Prakash Name:Omkar Name:Kaustubh Name:Pallawi Name:Mrunu Name:Rugved Person Person Person City Friend of Sister of Brother of Sister of City City Name:Kolhapur Name:Mumbai Name:Pune Project Project Project workson Name:Finance Name: Inventory Name: Sales 23 Prepared by - Dr. Dipali Meher
Node Creation: Person ā–£ create(p:Person{name:"Dipali",age:39}) return p ā–£ create(p:Person{name:"Pallawi",age:43}) return p ā–£ create(p:Person{name:"Meenal",age:38}) return p ā–£ create(p:Person{name:"Prakash",age:40}) return p ā–£ create(p:Person{name:"Mrunu",age:20}) return p ā–£ create(p:Person{name:"Rugved",age:40}) return p ā–£ create(p:Person{name:"Shreya",age:20}) return p ā–£ create(p:Person{name:"Omkar",age:40}) return p ā–£ create(p:Person{name:"Kaustubh",age:45}) return p 24 Prepared by - Dr. Dipali Meher
Relationship Creation: Friend ā–£ match(p:Person),(pp:Person) where p.name="Dipali" and pp.name="Pallawi" create(p)-[:Friend_of]->(pp) return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Dipali" and pp.name="Meenal" create(p)-[:Friend_of]->(pp) return p,pp 25 Prepared by - Dr. Dipali Meher
Relationship Creation: siblings(brother/sister) ā–£ match(p:Person),(pp:Person) where p.name="Mrunu" and pp.name="Rugved" create(p)-[:sisterof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Omkar" and pp.name="Shreya" create(p)-[:brotherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Meenal" and pp.name="Mrunu" create(p)-[:motherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Meenal" and pp.name="Rugved" create(p)-[:motherof]->(pp)return p,pp ā–£ 26 Prepared by - Dr. Dipali Meher
Relationship Creation: Parents(father/mother) ā–£ match(p:Person),(pp:Person) where p.name="Kaustubh" and pp.name="Mrunu" create(p)-[:fatherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Kaustubh" and pp.name="Rugved" create(p)-[:fatherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Dipali" and pp.name="Shreya" create(p)-[:motherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Prakash" and pp.name="Shreya" create(p)-[:fatherof]->(pp)return p,pp 27 Prepared by - Dr. Dipali Meher
Node Creation: City ā–£ create(c:City{name:"Pune"}) return c ā–£ create(c:City{name:"Mumbai"}) return c ā–£ create(c:City{name:"Kolhapur"}) return c 28 Prepared by - Dr. Dipali Meher
Relationship Creation: staysin ā–£ match(p:Person),(c:City) where p.name="Prakash" and c.name="Pune" create(p)-[:staysin]->(c)return p,c ā–£ match(p:Person),(c:City) where p.name="Kaustubh" and c.name="Mumbai" create(p)-[:staysin]->(c)return p,c ā–£ match(p:Person),(c:City) where p.name="Meenal" and c.name="Mumbai" create(p)-[:staysin]->(c)return p,c ā–£ match(p:Person),(c:City) where p.name="Dipali" and c.name="Pune" create(p)-[:staysin]->(c)return p,c 29 Prepared by - Dr. Dipali Meher
Node Creation: Project ā–£ create(pr:Project{name:"Finance"}) return pr ā–£ create(pr:Project{name:"Inventory"}) return pr ā–£ create(pr:Project{name:"Sales"}) return pr 30 Prepared by - Dr. Dipali Meher
Relationship Creation:Workson ā–£ match(p:Person),(pr:Project) where p.name="Prakash" and pr.name="Finance" create(p)-[:workson]->(pr) return p,pr ā–£ match(p:Person),(pr:Project) where p.name="Kaustubh" and pr.name="Inventory" create(p)-[:workson]->(pr) return p,pr ā–£ match(p:Person),(pr:Project) where p.name="Dipali" and pr.name="Sales" create(p)-[:workson]->(pr) return p,pr 31 Prepared by - Dr. Dipali Meher
Queries List the names of people who are parents MATCH (p:Person),(pp:Person) Where (p)-[:fatherof]->(pp) RETURN DISTINCT p.name AS name1 UNION ALL MATCH (p:Person),(pp:Person) Where (p)-[:motherof]->(pp) RETURN DISTINCT p.name AS name1 32 Prepared by - Dr. Dipali Meher
Queries List the names of people working on ā€˜Finance ā€˜project match(p:Person),(pr:Project) where pr.name="Finance" and(p)-[:workson]->(pr) return p.name 33 Prepared by - Dr. Dipali Meher
Queries List the names of people staying in ā€˜Puneā€™ and ā€˜Mumbaiā€™. MATCH (p:Person),(c:City) WHERE c.name IN ['Pune', 'Mumbai'] and (p)-[:staysin]->(c) RETURN p.name 34 Prepared by - Dr. Dipali Meher
Queries List the names of people who are mothers. match(p:Person),(pp:Person) where (p)-[:motherof]->(pp) return DISTINCT p.name 35 Prepared by - Dr. Dipali Meher
Queries Display the names of people living in Mumbai. match(p:Person),(c:City) where c.name="Mumbai" and (p)-[:staysin]->(c) return p.name Display the nodes having age above 40. match(p:Person) where p.age>40 return p.name 36 Prepared by - Dr. Dipali Meher
Slip :University Model the following University information system as a graph model, and answer the following queries using Cypher. University has various departments like Mathematics, Geology, Chemistry, etc. Each department conducts various courses and a course may be conducted by multiple departments. Every course may have recommendations provided by people. 37 Prepared by - Dr. Dipali Meher
Node Creation: ā–£ create(:University{name:'SPPU',location:'Pune'}) Department Creation ā–£ create (:Department{name:'Comp-Sci'}) ā–£ create (:Department{name:'Zoology'}) ā–£ create (:Department{name:'Maths'}) ā–£ create (:Department{name:'Chemistry'}) ā–£ 38 Prepared by - Dr. Dipali Meher
Relationship Creation: has ā–£ match(u:University),(d:Department) where u.name='SPPU'and d.name='Zoology' create (u)-[:Has]->(d) return u,d ā–£ match(u:University),(d:Department) where u.name='SPPU'and d.name='Chemistry' create (u)-[:Has]->(d) return u,d ā–£ match(u:University),(d:Department) where u.name='SPPU'and d.name='Maths' create (u)-[:Has]->(d) return u,d ā–£ match(u:University),(d:Department) where u.name='SPPU'and d.name='Comp-Sci' create (u)-[:Has]->(d) return u,d ā–£ 39 Prepared by - Dr. Dipali Meher
Node Creation: Course ā–£ create (:Course{name:'ExtraCredit'}) ā–£ create (:Course{name:'BBA'}) ā–£ create (:Course{name:'Analytical'}) ā–£ create (:Course{name:'Fish culture'}) 40 Prepared by - Dr. Dipali Meher
Relationship creation: conducts ā–£ match(c:Course),(d:Department) where d.name='Comp-Sci' and c.name='BBA' create (d)-[:Conducts]->(c) return d,c ā–£ match(c:Course),(d:Department) where d.name='Maths' and c.name='BBA' create (d)-[:Conducts]->(c) return d,c ā–£ match(c:Course),(d:Department) where d.name='Maths' and c.name='ExtraCredit' create (d)-[:Conducts]->(c) return d,c ā–£ match(c:Course),(d:Department) where d.name='Zoology' and c.name='ExtraCredit' create (d)-[:Conducts]->(c) return d,c ā–£ match(c:Course),(d:Department) where d.name='Chemistry' and c.name='ExtraCredit' create (d)-[:Conducts]->(c) return d,c 41 Prepared by - Dr. Dipali Meher
Node Creation: People ā–£ create (:People{name:'Dipali'}) ā–£ create (:People{name:'Maharaj'}) ā–£ create (:People{name:'Datta'}) 42 Prepared by - Dr. Dipali Meher
Relationship Creation: recommands ā–£ MATCH (p:People), (c:Course) WHERE p.name = "Datta" AND c.name = "ExtraCredit" CREATE (p)-[:recommands ]->(c) RETURN p,c ā–£ MATCH (p:People), (c:Course) WHERE p.name = "Maharaj" AND c.name = "ExtraCredit" CREATE (p)-[:recommands ]->(c) RETURN p,c ā–£ MATCH (p:People), (c:Course) WHERE p.name = "Dipali" AND c.name = "ExtraCredit" CREATE (p)-[:recommands ]->(c) RETURN p,c ā–£ MATCH (p:People), (c:Course) WHERE p.name = "Dipali" AND c.name = "BBA" CREATE (p)-[:recommands ]->(c) RETURN p,c 43 Prepared by - Dr. Dipali Meher
Queries ā–£ List the details of all the departments in the university match(u:University),(d:Department) where u.name='SPPU' and (d)-[:Conducts]->(c) return d.name 44 Prepared by - Dr. Dipali Meher
Queries List the names of common courses across computer Science and Maths department. WITH ['Comp-Sci','Maths'] as names MATCH (d:Department) WHERE d.name in names WITH collect(d) as s MATCH (c:Course) WHERE ALL(d in s WHERE (d)-[:Conducts]->(c)) RETURN c 45 Prepared by - Dr. Dipali Meher
Queries ā–£ List the courses run by chemistry department match(c:Course),(d:Department) where d.name='Chemistry' and (d)-[:Conducts]->(c) return d,c,c.name 46 Prepared by - Dr. Dipali Meher
Queries ā–£ List the most recommended course in Zoology Department. MATCH (p:People)-[:recommands]->(c:Course), (d:Department)-[:Conducts]->(c:Course) where d.name="Zoology" with c.name as names, count(c.name) as count_vt WITH collect({names:names, count_vt:count_vt}) as rows, max(count_vt) as max UNWIND [row in rows WHERE row.count_vt = max] as row RETURN row.names as names, row.count_vt as count_vt 47 Prepared by - Dr. Dipali Meher
ā–£ UNWIND : With UNWIND , you can transform any list back into individual rows. ā–£ With : Using WITH, you can manipulate the output before it is passed on to the following query parts. The manipulations can be of the shape and/or number of entries in the result set. One common usage of WITH is to limit the number of entries that are then passed on to other MATCH clauses. WITH is used to introduce aggregates which can then be used in predicates in WHERE ā–£ Collect: The function collect() returns a single aggregated list containing the values returned by an expression. 48 Prepared by - Dr. Dipali Meher
References ā–£ https://www.slideshare.net/neo4j/intro-to-neo4j ā–£ https://www.slideshare.net/neo4j/introduction-to-neo4j-120324228 ā–£ https://www.slideshare.net/neo4j/intro-to-neo4j-and-graph-databases ā–£ https://neo4j.com 49 Prepared by - Dr. Dipali Meher
Thanks Any questions? You can find me at dipalimeher@moderncollegegk.org 50

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Neo4j session

  • 1. Neo4j Introduction & Slip Solving Sessions Dr. Dipali Meher MCS, M.Phil, NET, Ph.D PES Modern College of Arts, Science and Commerce, Ganeshkhind , Pune 16 dipalimeher@moderncollegegk.org
  • 2. Agenda Introduction Using Online Console/Sandbox Creation of Nodes Creation of Relationships Firing Cypher Queries 2 Prepared by - Dr. Dipali Meher
  • 4. ā€˜ā€™ 4 Prepared by - Dr. Dipali Meher
  • 5. 5 Prepared by - Dr. Dipali Meher
  • 6. 6
  • 7. Use of graphs has created some of the most successful companies in the world 7 Prepared by - Dr. Dipali Meher
  • 8. 8 Prepared by - Dr. Dipali Meher
  • 9. 9 Prepared by - Dr. Dipali Meher
  • 10. 10 Prepared by - Dr. Dipali Meher
  • 11. 11 Prepared by - Dr. Dipali Meher
  • 12. 12 Prepared by - Dr. Dipali Meher
  • 13. 13 Prepared by - Dr. Dipali Meher
  • 14. 14 Prepared by - Dr. Dipali Meher
  • 15. 15 Prepared by - Dr. Dipali Meher
  • 16. Why Graphs DBS? ā–£ Intuitiveness ā–£ Speed ā–£ Agility 16 Prepared by - Dr. Dipali Meher
  • 17. 17 Prepared by - Dr. Dipali Meher
  • 18. Using Online Console/Sandbox ā–£ https://console.neo4j.org/ ā–£ https://neo4j.com/sandbox/ 18 Prepared by - Dr. Dipali Meher
  • 19. Creation of Nodes ā–£ To create single node with label with properties ā–£ create(alis:node name) ā–£ E.g. create(p:person{name:"Dipali", add:ā€œPuneā€œ}) ā–£ To create multiple nodes ā–£ create(alis:node name) Create(alies:node name) ā–£ create(p:person{name:"Dipali", add:ā€œPuneā€œ}) ā–£ create(p:person{name:ā€œShreya", add:ā€œPuneā€œ}) ā–£ To see the result always write return statement which is same as select in SQL 19 Prepared by - Dr. Dipali Meher
  • 20. Creation of Relationships ā–£ Match: The MATCH clause allows you to specify the patterns Neo4j will search for in the database. ā–£ Syntax: ā–£ MATCH (a:node1), (b:node2) WHERE match the conditions ā–£ CREATE (a)-[r:RELTYPE]->(b) RETURN type(r) ā–£ example ā–£ MATCH (a:Person), (b:Person) WHERE a.name = ā€˜Dipali' AND b.name = ā€˜Shreya' CREATE (a)- [r:motherof]->(b) RETURN a,b 20 Prepared by - Dr. Dipali Meher
  • 21. Firing Cypher Queries ā–£ With match keyword ā–£ Using the MATCH clause of Neo4j you can retrieve all nodes in the Neo4j database. MATCH (node:label) RETURN node 21 Prepared by - Dr. Dipali Meher
  • 22. Slip: Person Model the following Society relations among people working in ā€œHCLā€, as a graph model, and answer the queries using Cypher. A person can be a friend of another person. A person may have siblings (brothers / sisters), A person may be a parent(mother/father) of another person. A person stays either in Pune or Mumbai or Kolhapur. A person may be working on either ā€˜Financeā€™ or ā€˜Inventoryā€™ or ā€˜Salesā€™ projects. 22 Prepared by - Dr. Dipali Meher
  • 23. Person Person Person Person Person Person Name:Dipali Name:Meenal Name:Prakash Name:Omkar Name:Kaustubh Name:Pallawi Name:Mrunu Name:Rugved Person Person Person City Friend of Sister of Brother of Sister of City City Name:Kolhapur Name:Mumbai Name:Pune Project Project Project workson Name:Finance Name: Inventory Name: Sales 23 Prepared by - Dr. Dipali Meher
  • 24. Node Creation: Person ā–£ create(p:Person{name:"Dipali",age:39}) return p ā–£ create(p:Person{name:"Pallawi",age:43}) return p ā–£ create(p:Person{name:"Meenal",age:38}) return p ā–£ create(p:Person{name:"Prakash",age:40}) return p ā–£ create(p:Person{name:"Mrunu",age:20}) return p ā–£ create(p:Person{name:"Rugved",age:40}) return p ā–£ create(p:Person{name:"Shreya",age:20}) return p ā–£ create(p:Person{name:"Omkar",age:40}) return p ā–£ create(p:Person{name:"Kaustubh",age:45}) return p 24 Prepared by - Dr. Dipali Meher
  • 25. Relationship Creation: Friend ā–£ match(p:Person),(pp:Person) where p.name="Dipali" and pp.name="Pallawi" create(p)-[:Friend_of]->(pp) return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Dipali" and pp.name="Meenal" create(p)-[:Friend_of]->(pp) return p,pp 25 Prepared by - Dr. Dipali Meher
  • 26. Relationship Creation: siblings(brother/sister) ā–£ match(p:Person),(pp:Person) where p.name="Mrunu" and pp.name="Rugved" create(p)-[:sisterof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Omkar" and pp.name="Shreya" create(p)-[:brotherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Meenal" and pp.name="Mrunu" create(p)-[:motherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Meenal" and pp.name="Rugved" create(p)-[:motherof]->(pp)return p,pp ā–£ 26 Prepared by - Dr. Dipali Meher
  • 27. Relationship Creation: Parents(father/mother) ā–£ match(p:Person),(pp:Person) where p.name="Kaustubh" and pp.name="Mrunu" create(p)-[:fatherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Kaustubh" and pp.name="Rugved" create(p)-[:fatherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Dipali" and pp.name="Shreya" create(p)-[:motherof]->(pp)return p,pp ā–£ match(p:Person),(pp:Person) where p.name="Prakash" and pp.name="Shreya" create(p)-[:fatherof]->(pp)return p,pp 27 Prepared by - Dr. Dipali Meher
  • 28. Node Creation: City ā–£ create(c:City{name:"Pune"}) return c ā–£ create(c:City{name:"Mumbai"}) return c ā–£ create(c:City{name:"Kolhapur"}) return c 28 Prepared by - Dr. Dipali Meher
  • 29. Relationship Creation: staysin ā–£ match(p:Person),(c:City) where p.name="Prakash" and c.name="Pune" create(p)-[:staysin]->(c)return p,c ā–£ match(p:Person),(c:City) where p.name="Kaustubh" and c.name="Mumbai" create(p)-[:staysin]->(c)return p,c ā–£ match(p:Person),(c:City) where p.name="Meenal" and c.name="Mumbai" create(p)-[:staysin]->(c)return p,c ā–£ match(p:Person),(c:City) where p.name="Dipali" and c.name="Pune" create(p)-[:staysin]->(c)return p,c 29 Prepared by - Dr. Dipali Meher
  • 30. Node Creation: Project ā–£ create(pr:Project{name:"Finance"}) return pr ā–£ create(pr:Project{name:"Inventory"}) return pr ā–£ create(pr:Project{name:"Sales"}) return pr 30 Prepared by - Dr. Dipali Meher
  • 31. Relationship Creation:Workson ā–£ match(p:Person),(pr:Project) where p.name="Prakash" and pr.name="Finance" create(p)-[:workson]->(pr) return p,pr ā–£ match(p:Person),(pr:Project) where p.name="Kaustubh" and pr.name="Inventory" create(p)-[:workson]->(pr) return p,pr ā–£ match(p:Person),(pr:Project) where p.name="Dipali" and pr.name="Sales" create(p)-[:workson]->(pr) return p,pr 31 Prepared by - Dr. Dipali Meher
  • 32. Queries List the names of people who are parents MATCH (p:Person),(pp:Person) Where (p)-[:fatherof]->(pp) RETURN DISTINCT p.name AS name1 UNION ALL MATCH (p:Person),(pp:Person) Where (p)-[:motherof]->(pp) RETURN DISTINCT p.name AS name1 32 Prepared by - Dr. Dipali Meher
  • 33. Queries List the names of people working on ā€˜Finance ā€˜project match(p:Person),(pr:Project) where pr.name="Finance" and(p)-[:workson]->(pr) return p.name 33 Prepared by - Dr. Dipali Meher
  • 34. Queries List the names of people staying in ā€˜Puneā€™ and ā€˜Mumbaiā€™. MATCH (p:Person),(c:City) WHERE c.name IN ['Pune', 'Mumbai'] and (p)-[:staysin]->(c) RETURN p.name 34 Prepared by - Dr. Dipali Meher
  • 35. Queries List the names of people who are mothers. match(p:Person),(pp:Person) where (p)-[:motherof]->(pp) return DISTINCT p.name 35 Prepared by - Dr. Dipali Meher
  • 36. Queries Display the names of people living in Mumbai. match(p:Person),(c:City) where c.name="Mumbai" and (p)-[:staysin]->(c) return p.name Display the nodes having age above 40. match(p:Person) where p.age>40 return p.name 36 Prepared by - Dr. Dipali Meher
  • 37. Slip :University Model the following University information system as a graph model, and answer the following queries using Cypher. University has various departments like Mathematics, Geology, Chemistry, etc. Each department conducts various courses and a course may be conducted by multiple departments. Every course may have recommendations provided by people. 37 Prepared by - Dr. Dipali Meher
  • 38. Node Creation: ā–£ create(:University{name:'SPPU',location:'Pune'}) Department Creation ā–£ create (:Department{name:'Comp-Sci'}) ā–£ create (:Department{name:'Zoology'}) ā–£ create (:Department{name:'Maths'}) ā–£ create (:Department{name:'Chemistry'}) ā–£ 38 Prepared by - Dr. Dipali Meher
  • 39. Relationship Creation: has ā–£ match(u:University),(d:Department) where u.name='SPPU'and d.name='Zoology' create (u)-[:Has]->(d) return u,d ā–£ match(u:University),(d:Department) where u.name='SPPU'and d.name='Chemistry' create (u)-[:Has]->(d) return u,d ā–£ match(u:University),(d:Department) where u.name='SPPU'and d.name='Maths' create (u)-[:Has]->(d) return u,d ā–£ match(u:University),(d:Department) where u.name='SPPU'and d.name='Comp-Sci' create (u)-[:Has]->(d) return u,d ā–£ 39 Prepared by - Dr. Dipali Meher
  • 40. Node Creation: Course ā–£ create (:Course{name:'ExtraCredit'}) ā–£ create (:Course{name:'BBA'}) ā–£ create (:Course{name:'Analytical'}) ā–£ create (:Course{name:'Fish culture'}) 40 Prepared by - Dr. Dipali Meher
  • 41. Relationship creation: conducts ā–£ match(c:Course),(d:Department) where d.name='Comp-Sci' and c.name='BBA' create (d)-[:Conducts]->(c) return d,c ā–£ match(c:Course),(d:Department) where d.name='Maths' and c.name='BBA' create (d)-[:Conducts]->(c) return d,c ā–£ match(c:Course),(d:Department) where d.name='Maths' and c.name='ExtraCredit' create (d)-[:Conducts]->(c) return d,c ā–£ match(c:Course),(d:Department) where d.name='Zoology' and c.name='ExtraCredit' create (d)-[:Conducts]->(c) return d,c ā–£ match(c:Course),(d:Department) where d.name='Chemistry' and c.name='ExtraCredit' create (d)-[:Conducts]->(c) return d,c 41 Prepared by - Dr. Dipali Meher
  • 42. Node Creation: People ā–£ create (:People{name:'Dipali'}) ā–£ create (:People{name:'Maharaj'}) ā–£ create (:People{name:'Datta'}) 42 Prepared by - Dr. Dipali Meher
  • 43. Relationship Creation: recommands ā–£ MATCH (p:People), (c:Course) WHERE p.name = "Datta" AND c.name = "ExtraCredit" CREATE (p)-[:recommands ]->(c) RETURN p,c ā–£ MATCH (p:People), (c:Course) WHERE p.name = "Maharaj" AND c.name = "ExtraCredit" CREATE (p)-[:recommands ]->(c) RETURN p,c ā–£ MATCH (p:People), (c:Course) WHERE p.name = "Dipali" AND c.name = "ExtraCredit" CREATE (p)-[:recommands ]->(c) RETURN p,c ā–£ MATCH (p:People), (c:Course) WHERE p.name = "Dipali" AND c.name = "BBA" CREATE (p)-[:recommands ]->(c) RETURN p,c 43 Prepared by - Dr. Dipali Meher
  • 44. Queries ā–£ List the details of all the departments in the university match(u:University),(d:Department) where u.name='SPPU' and (d)-[:Conducts]->(c) return d.name 44 Prepared by - Dr. Dipali Meher
  • 45. Queries List the names of common courses across computer Science and Maths department. WITH ['Comp-Sci','Maths'] as names MATCH (d:Department) WHERE d.name in names WITH collect(d) as s MATCH (c:Course) WHERE ALL(d in s WHERE (d)-[:Conducts]->(c)) RETURN c 45 Prepared by - Dr. Dipali Meher
  • 46. Queries ā–£ List the courses run by chemistry department match(c:Course),(d:Department) where d.name='Chemistry' and (d)-[:Conducts]->(c) return d,c,c.name 46 Prepared by - Dr. Dipali Meher
  • 47. Queries ā–£ List the most recommended course in Zoology Department. MATCH (p:People)-[:recommands]->(c:Course), (d:Department)-[:Conducts]->(c:Course) where d.name="Zoology" with c.name as names, count(c.name) as count_vt WITH collect({names:names, count_vt:count_vt}) as rows, max(count_vt) as max UNWIND [row in rows WHERE row.count_vt = max] as row RETURN row.names as names, row.count_vt as count_vt 47 Prepared by - Dr. Dipali Meher
  • 48. ā–£ UNWIND : With UNWIND , you can transform any list back into individual rows. ā–£ With : Using WITH, you can manipulate the output before it is passed on to the following query parts. The manipulations can be of the shape and/or number of entries in the result set. One common usage of WITH is to limit the number of entries that are then passed on to other MATCH clauses. WITH is used to introduce aggregates which can then be used in predicates in WHERE ā–£ Collect: The function collect() returns a single aggregated list containing the values returned by an expression. 48 Prepared by - Dr. Dipali Meher
  • 49. References ā–£ https://www.slideshare.net/neo4j/intro-to-neo4j ā–£ https://www.slideshare.net/neo4j/introduction-to-neo4j-120324228 ā–£ https://www.slideshare.net/neo4j/intro-to-neo4j-and-graph-databases ā–£ https://neo4j.com 49 Prepared by - Dr. Dipali Meher
  • 50. Thanks Any questions? You can find me at dipalimeher@moderncollegegk.org 50

Editor's Notes

  • #17: Intuitive:Ā having the ability to know or understand things without any proof or evidence AgilityĀ is defined as the ability to move nimbly with speed and ease.