Neo4j Makes Graphs Easy: Nicole White
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This document provides an overview of using Neo4j to model graph data from the Northwind database and compare it to using SQL. It demonstrates how Neo4j allows for more intuitive graph queries compared to SQL through examples of finding employee reporting structures and a top salesperson's products. The document also briefly mentions how to import data from SQL into Neo4j and connect to Neo4j through REST drivers to build applications.
![Cypher
MATCH (e:Employee)-[:SOLD]->(:Order)-[r:INCLUDED]->(p:Product)
WHERE e.first_name = 'Steven' AND e.last_name = 'Buchanan'
RETURN p.name AS Product,
ROUND(SUM(r.unit_price*r.quantity*(1-r.discount)/100)*100) AS Sales
ORDER BY Sales DESC LIMIT 5;](https://image.slidesharecdn.com/neo4jmakesgraphseasy-nicole-150417125456-conversion-gate01/85/Neo4j-Makes-Graphs-Easy-Nicole-White-15-320.jpg)
![Cypher
MATCH p = (:Employee)-[:REPORTS_TO*2]->(:Employee)
RETURN EXTRACT(n IN NODES(p) |
n.first_name + ' ' + n.last_name) AS reporting;](https://image.slidesharecdn.com/neo4jmakesgraphseasy-nicole-150417125456-conversion-gate01/85/Neo4j-Makes-Graphs-Easy-Nicole-White-20-320.jpg)
![Output
+------------------------------------------------------+
| reporting |
+------------------------------------------------------+
| ["Michael Suyama","Steven Buchanan","Andrew Fuller"] |
| ["Robert King","Steven Buchanan","Andrew Fuller"] |
| ["Anne Dodsworth","Steven Buchanan","Andrew Fuller"] |
+------------------------------------------------------+](https://image.slidesharecdn.com/neo4jmakesgraphseasy-nicole-150417125456-conversion-gate01/85/Neo4j-Makes-Graphs-Easy-Nicole-White-21-320.jpg)
Neo4j Makes Graphs Easy: Nicole White
- 1. Neo4j Makes Graphs Easy Nicole White @_nicolemargaret
- 2. Agenda Model Import Query Build an App!
- 4. What if we used SQL?
- 6. What if we used Neo4j?
- 9. Export from SQL SELECT * FROM Orders INTO OUTFILE '/tmp/orders.csv' FIELDS ENCLOSED BY '"' TERMINATED BY ',' ESCAPED BY '' LINES TERMINATED BY 'rn'; ... SELECT * FROM Products INTO OUTFILE '/tmp/products.csv' FIELDS ENCLOSED BY '"' TERMINATED BY ',' ESCAPED BY '' LINES TERMINATED BY 'rn';
- 10. To The Browser! Holy nodes Batman! Import into Neo4j
- 12. What are Steven Buchanan’s top 5 selling products?
- 13. SQL SELECT Products.ProductName AS Product, ROUND(SUM((`Order Details`.UnitPrice*Quantity*(1-Discount)/100)*100)) AS Sales FROM Employees JOIN Orders ON Employees.EmployeeID = Orders.EmployeeID JOIN `Order Details` ON Orders.OrderID = `Order Details`.OrderID JOIN Products ON `Order Details`.ProductID = Products.ProductID WHERE Employees.FirstName = "Steven" AND Employees.LastName = "Buchanan" GROUP BY Products.ProductName ORDER BY Sales DESC LIMIT 5;
- 14. Output +------------------------+-------+ ° Product ° Sales ° +------------------------+-------+ ° Cte de Blaye ° 8432 ° ° Raclette Courdavault ° 7920 ° ° Mozzarella di Giovanni ° 5829 ° ° Alice Mutton ° 5538 ° ° Perth Pasties ° 5084 ° +------------------------+-------+
- 15. Cypher MATCH (e:Employee)-[:SOLD]->(:Order)-[r:INCLUDED]->(p:Product) WHERE e.first_name = 'Steven' AND e.last_name = 'Buchanan' RETURN p.name AS Product, ROUND(SUM(r.unit_price*r.quantity*(1-r.discount)/100)*100) AS Sales ORDER BY Sales DESC LIMIT 5;
- 16. Output +-----------------------------------+ | Product | Sales | +-----------------------------------+ | "Cte de Blaye" | 8432 | | "Raclette Courdavault" | 7920 | | "Mozzarella di Giovanni" | 5829 | | "Alice Mutton" | 5538 | | "Perth Pasties" | 5084 | +-----------------------------------+
- 17. What is the reporting structure two levels deep?
- 18. SQL SELECT CONCAT(Employees.FirstName, ' ', Employees.LastName) AS Name, CONCAT(e2.FirstName, ' ', e2.LastName) AS Manager, CONCAT(e3.FirstName, ' ', e3.LastName) AS `Manager's Manager` FROM Employees JOIN Employees AS e2 ON Employees.ReportsTo = e2.EmployeeID JOIN Employees AS e3 ON e2.ReportsTo = e3.EmployeeID;
- 19. Output +----------------+-----------------+-------------------+ ° Name ° Manager ° Manager's Manager ° +----------------+-----------------+-------------------+ ° Michael Suyama ° Steven Buchanan ° Andrew Fuller ° ° Robert King ° Steven Buchanan ° Andrew Fuller ° ° Anne Dodsworth ° Steven Buchanan ° Andrew Fuller ° +----------------+-----------------+-------------------+
- 20. Cypher MATCH p = (:Employee)-[:REPORTS_TO*2]->(:Employee) RETURN EXTRACT(n IN NODES(p) | n.first_name + ' ' + n.last_name) AS reporting;
- 21. Output +------------------------------------------------------+ | reporting | +------------------------------------------------------+ | ["Michael Suyama","Steven Buchanan","Andrew Fuller"] | | ["Robert King","Steven Buchanan","Andrew Fuller"] | | ["Anne Dodsworth","Steven Buchanan","Andrew Fuller"] | +------------------------------------------------------+
- 22. Build an App! REST Drivers
- 24. Python App
- 25. Questions?