RDBMS to Graph

1. Neo4j Makes Graphs Easy
Nicole White
@_nicolemargaret

2. Agenda
Model Import Query
Build an
App!

3. Model
NorthWind

4. What if we used SQL?

5. Categories
CategoryID
CategoryName
Suppliers
SupplierID
CompanyName
Products
ProductID
ProductName
CategoryID
SupplierID
Customers
CustomerID
CompanyName
Order Details
OrderID
ProductID
Orders
OrderID
CustomerID
ShipVia
EmployeeID
Employees
EmployeeID
FirstName
LastName
ReportsTo
Shippers
ShipperID
CompanyName
EmployeeTerritories
EmployeeID
TerritoryID
Territories
TerritoryID
TerritoryDescription
RegionID
Regions
RegionID
RegionDescription

6. What if we used Neo4j?

7. Orde
r
Product
Employe
e
Categor
y
Supplie
r
Custome
r
Shipper
Territory
Region
Employe
e
REPORTS TO
Product
Employe
e
REPORTS TO

8. Import
LOAD CSV

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

11. Query
Cypher Query Language

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

23. REST Drivers
Java
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Ruby
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24. Python App

25. Questions?