0 - 11 of 11 tags for array

Hi All, 
I would like to load the array data type data into table. I've created like '
CREATE TYPE sysudtlib.person AS(id_num VARCHAR (10),first_name VARCHAR (20), Salary VARCHAR (20)) NOT FINAL;
CREATE  TYPE ID_NBR AS sysudtlib.person  ARRAY [1];

Many experienced SQL and procedure developers use SQL functions to perform common tasks and simplify their code narratives.

Hello, I am having difficulty storing multiple column values within the same row, since I am unable to group by only the identifying value, according to the sample code below, "ID." I believe creating an array for each unique ID would solve this problem, but I am using Teradata 13.10, and the array UDF is not supported within this version.


This feature was introduced in Teradata Database 14.00.

Hi. I am trying the built-in C functions for ARRAY handling in Teradata 14. Basically, I copied the code below from the FNC_GetArrayElementCount function in the manual TD 14 External Routine Programming: 

Ordered analytical functions enable parallel processing by freeing processes from flat logic. They also produce simpler Set SQL statements, which as a general rule can be expected to perform better than more complex Set SQL statements.

Set SQL is a way of operating on data that is radically different from historical concepts of computer programming that can be diagrammed with flow charts.  Grab a cup of coffee and review some history that will explain why the industry is mired in cursor logic and loops that cannot exploit the power of today's software and hardware.

When Flat SQL looping logic involves complex processing of data elements from multiple tables, the loops can almost always be transformed into Set SQL with derived tables. By eliminating looping logic, the performance benefits of parallel processing can be exploited.

The most difficult task when converting Flat SQL (cursor-based procedural code) to Set SQL involves translating complex logic and accounting for multiple data sources.  The Derived Table feature of Set SQL simplifies this process.

Perhaps the easiest way to transition from a flat logic mindset to a set logic mindset is to convert some Flat SQL to Set SQL, then stare at both of them until the logical equivalence of the two approaches becomes clear.

Maximizing the full potential of Teradata's Massive Parallel Processing requires Set Processing.