1.0 - 8.00 - NTree Example 3: Show Reporting Structure by Department - Teradata Vantage

Teradata® Vantage Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.0
8.00
Release Date
May 2019
Content Type
Programming Reference
Publication ID
B700-4003-098K
Language
English (United States)

Input

The input table, emp_table_by_dept, contains data to build trees of departments, and is partitioned by department. In each partition, each row represents one employee in the department, identifying the employee by identifier and name and his or her manager by identifier. Each employee with no manager becomes the root of the department tree. The other employees in that department become children of their managers.

emp_table_by_dept
department id name mgr_id
Marketing 1 Dave none
Marketing 2 Kim 1
Marketing 3 Donna 1
Marketing 4 Rob 1
Marketing 5 Fran 2
Marketing 6 Mark 2
Marketing 7 Richard 3
Marketing 8 Pat 4
Marketing 9 Don 4
Engineering 10 Peter none
Engineering 11 Sarah 10
Engineering 12 Dale 10
Engineering 13 John 10
Engineering 14 Sophia 15
Engineering 15 Jessy 12
Engineering 16 Gary 12
Engineering 17 Elizabeth 13
Engineering 18 Richard 13

SQL Call

SELECT * FROM NTree@coprocessor (
  ON emp_table_by_dept PARTITION BY department
  USING
  Root_Node (mgr_id = 'none')
  Parent_ID (mgr_id)
  Node_ID (id)
  Starts_With ('root') 
  Mode ('down')
  Output ('all')
  Result (PATH(name) AS path, PATH(id) AS path2)
) AS dt ORDER BY path, path2;

Output

The output table shows two department trees, whose roots are Dave and Peter.

id path path2
1 Dave 1
3 Dave->Donna 1->3
7 Dave->Donna->Richard 1->3->7
2 Dave->Kim 1->2
5 Dave->Kim->Fran 1->2->5
6 Dave->Kim->Mark 1->2->6
4 Dave->Rob 1->4
9 Dave->Rob->Don 1->4->9
8 Dave->Rob->Pat 1->4->8
10 Peter 10
12 Peter->Dale 10->12
16 Peter->Dale->Gary 10->12->16
15 Peter->Dale->Jessy 10->12->15
14 Peter->Dale->Jessy->Sophia 10->12->15->14
13 Peter->John 10->13
17 Peter->John->Elizabeth 10->13->17