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Neo4j Makes Graphs Easy
Nicole White@_nicolemargaret
Agenda
Model Import QueryBuild an
App!
Model
NorthWind
What if we used SQL?
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
What if we used Neo4j?
Order
Product
Employee
Category
Supplier
Customer
Shipper
Territory
Region
Employee
REPORTS TO
Product
Employee
REPORTS TO
Import
LOAD CSV
Export from SQL
SELECT * FROM Orders
INTO OUTFILE '/tmp/orders.csv'
FIELDS ENCLOSED BY '"' TERMINATED BY ',' ESCAPED BY ''
LINES TERMINATED BY '\r\n';
...
SELECT * FROM Products
INTO OUTFILE '/tmp/products.csv'
FIELDS ENCLOSED BY '"' TERMINATED BY ',' ESCAPED BY ''
LINES TERMINATED BY '\r\n';
To The Browser!Holy nodes
Batman!
Import into Neo4j
Query
Cypher Query Language
What are Steven Buchanan’s top 5 selling products?
SQL
SELECT Products.ProductName AS Product,ROUND(SUM((`Order Details`.UnitPrice*Quantity*(1-Discount)/100)*100)) AS SalesFROM Employees
JOIN Orders ON Employees.EmployeeID = Orders.EmployeeIDJOIN `Order Details` ON Orders.OrderID = `Order Details`.OrderIDJOIN Products ON `Order Details`.ProductID = Products.ProductID
WHERE Employees.FirstName = "Steven" AND Employees.LastName = "Buchanan"GROUP BY Products.ProductNameORDER BY Sales DESC LIMIT 5;
Output
+------------------------+-------+
° Product ° Sales °
+------------------------+-------+
° Cte de Blaye ° 8432 °
° Raclette Courdavault ° 7920 °
° Mozzarella di Giovanni ° 5829 °
° Alice Mutton ° 5538 °
° Perth Pasties ° 5084 °
+------------------------+-------+
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;
Output
+-----------------------------------+
| Product | Sales |
+-----------------------------------+
| "Cte de Blaye" | 8432 |
| "Raclette Courdavault" | 7920 |
| "Mozzarella di Giovanni" | 5829 |
| "Alice Mutton" | 5538 |
| "Perth Pasties" | 5084 |
+-----------------------------------+
What is the reporting structure two levels deep?
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 EmployeesJOIN Employees AS e2 ON Employees.ReportsTo = e2.EmployeeIDJOIN Employees AS e3 ON e2.ReportsTo = e3.EmployeeID;
Output
+----------------+-----------------+-------------------+
° Name ° Manager ° Manager's Manager °
+----------------+-----------------+-------------------+
° Michael Suyama ° Steven Buchanan ° Andrew Fuller °
° Robert King ° Steven Buchanan ° Andrew Fuller °
° Anne Dodsworth ° Steven Buchanan ° Andrew Fuller °
+----------------+-----------------+-------------------+
Cypher
MATCH p = (:Employee)-[:REPORTS_TO*2]->(:Employee)RETURN EXTRACT(n IN NODES(p) |
n.first_name + ' ' + n.last_name) AS reporting;
Output
+------------------------------------------------------+
| reporting |
+------------------------------------------------------+
| ["Michael Suyama","Steven Buchanan","Andrew Fuller"] |
| ["Robert King","Steven Buchanan","Andrew Fuller"] |
| ["Anne Dodsworth","Steven Buchanan","Andrew Fuller"] |
+------------------------------------------------------+
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