Example: Function Mapping with Multiple ANY IN TABLE Clauses - Advanced SQL Engine - Teradata Database

SQL Data Definition Language Syntax and Examples

Product
Advanced SQL Engine
Teradata Database
Release Number
17.10
Published
July 2021
ft:locale
en-US
ft:lastEdition
2021-07-27
dita:mapPath
spp1591731285373.ditamap
dita:ditavalPath
spp1591731285373.ditaval
dita:id
B035-1144
lifecycle
previous
Product Category
Teradata Vantageā„¢

This function mapping definition includes two ANY IN TABLE clauses.

During function processing, the first two ON clauses that do not have correlation names correspond to the two ANY IN TABLE clauses.

CREATE FUNCTION MAPPING user_Attribution FOR attribution MAP JSON ( '{ "function_version": "1.0" }') USING ANY IN TABLE, ANY IN TABLE, conversion IN TABLE, excluding IN TABLE, optional IN TABLE, model1 IN TABLE, model2 IN TABLE, EventColumn, TimestampColumn, WindowSize;
This SELECT statement includes two ON clauses do not have correlation names: :
  • attribution_sample_table1
  • attribution_sample_table2

These tables correspond to the two ANY IN TABLE clauses of the user_Attribution function mapping.

SELECT * FROM user_ATTRIBUTION( ON attribution_sample_table1 PARTITION BY user_id ORDER BY time_stamp ON attribution_sample_table2 PARTITION BY user_id ORDER BY time_stamp ON conversion_event_table AS conversion DIMENSION ON excluding_event_table AS excluding DIMENSION ON optional_event_table AS optional DIMENSION ON model1_table AS model1 DIMENSION ON model2_table AS model2 DIMENSION USING EVENT_COLUMN_NAME ('event') TIMESTAMP_COLUMN_NAME ('time_stamp') WINDOW('rows:10&seconds:20') ) as dt ORDER BY user_id, time_stamp;