Examples | DATASET Constructor Method | Teradata Vantage - 17.10 - Examples - Advanced SQL Engine - Teradata Database

Teradata Vantageā„¢ - DATASET Data Type

Product
Advanced SQL Engine
Teradata Database
Release Number
17.10
Release Date
July 2021
Content Type
Programming Reference
Publication ID
B035-1198-171K
Language
English (United States)

Example: Creating a CSV DATASET Value

The character set defaults to the current server character set.

SELECT new DATASET('{"field_delimiter" : ",", "record_delimiter" : ";" }',
                   'Id,Item,Qnty,Price;103,brush,33,0.99;102,paint,2,0.69',
                   CSV);

  > Id,Item,Qnty,Price;103,brush,33,0.99;102,paint,2,0.69

Example: Creating a CSV DATASET Value with a UNICODE Character Set

SELECT new DATASET('{"field_delimiter" : ",", "record_delimiter" : ";" }',
                   'Id,Item,Qnty,Price;103,brush,33,0.99;102,paint,2,0.69',
                   CSV, Unicode);

 > Id,Item,Qnty,Price;103,brush,33,0.99;102,paint,2,0.69

Creating an Avro DATASET Value

In this example, create an Avro DATASET value, and then select it out in the JSON format by using the toJson() method for readability.

SELECT new DATASET(
    '{"type":"record",
      "name":"rec_0",
      "fields":[
                {"name":"ID","type":"int"},
                {"name":"First","type":"string"},
                {"name":"Middle","type":"string"},
                {"name":"Last","type":"string"}]}',
                   '081246726564657269636B064A6F6E1057696C6C69616D73'XB,
                   Avro).toJson();

> {"ID":4,"First":"Frederick","Middle":"Jon","Last":"Williams"}