1.1 - 8.10 - nPath Example: Multiple Partitioned Input Tables and Dimension Input Table - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
English (United States)

An e-commerce store wants to count the advertising impressions that lead to a user clicking an online advertisement. The example counts the online advertisements that the user viewed and the television advertisements that the user might have viewed.

Input

impressions
userid ts imp
1 2012-01-01 ad1
1 2012-01-02 ad1
1 2012-01-03 ad1
1 2012-01-04 ad1
1 2012-01-05 ad1
1 2012-01-06 ad1
1 2012-01-07 ad1
2 2012-01-08 ad2
2 2012-01-09 ad2
2 2012-01-10 ad2
2 2012-01-11 ad2
... ... ...
clicks2
userid ts click
1 2012-01-01 ad1
2 2012-01-08 ad2
3 2012-01-16 ad3
4 2012-01-23 ad4
5 2012-02-01 ad5
6 2012-02-08 ad6
7 2012-02-14 ad7
8 2012-02-24 ad8
9 2012-03-02 ad9
10 2012-03-10 ad10
11 2012-03-18 ad11
12 2012-03-25 ad12
13 2012-03-30 ad13
14 2012-04-02 ad14
15 2012-04-06 ad15
tv_spots
ts tv_imp
2012-01-01 ad1
2012-01-02 ad2
2012-01-03 ad3
2012-01-04 ad4
2012-01-05 ad5
2012-01-06 ad6
2012-01-07 ad7
2012-01-08 ad8
2012-01-09 ad9
2012-01-10 ad10
2012-01-11 ad11
2012-01-12 ad12
2012-01-13 ad13
2012-01-14 ad14
2012-01-15 ad15

SQL Call

The tables impressions and clicks have a user_id column, but the table tv_spots is only a record of television advertisements shown, which any user might have seen. Therefore, tv_spots must be a dimension table.

SELECT * FROM NPath@coprocessor (
  ON impressions PARTITION BY userid ORDER BY ts
  ON clicks2 PARTITION BY userid ORDER BY ts
  ON tv_spots DIMENSION ORDER BY ts
  USING
    Mode('nonoverlapping')
    Symbols(true AS imp, TRUE AS click,TRUE AS tv_imp)
    Pattern('(imp|tv_imp)*.click')
    Result (COUNT(* OF imp) AS imp_cnt, 
            COUNT(* OF tv_imp) AS tv_imp_cnt)
) AS dt;

Output

imp_cnt tv_imp_cnt 
 ------- ---------- 
      23          0
      19          0
      24          0
      22          0
      23          0
      22          0
      19          0
      23          0
      18          0
      22          0
      20          0
      25          0
      21          0
      22          0
      22          0

Download a zip file of all examples and a SQL script file that creates their input tables from the attachment in the left sidebar.