Teradata strtok_split_to_table, CSVLD, Unpack: Column Splitting in Teradata

Splitting column content can be a challenging task. Teradata provides multiple methods to achieve this, each with unique pros and cons. In this article, we will examine these techniques in detail. To begin, we will generate a table containing sufficient random data to assess every option’s efficiency and resource utilization.

CREATE TABLE DWHPRO.Split
(
    PK INTEGER,
    ToBeSplit   VARCHAR(200)
) PRIMARY INDEX (PK);

INSERT INTO DWHPRO.Split
SELECT 
	ROW_NUMBER() OVER (ORDER  BY 1) AS PK,
	'Row' || TRIM(PK) || 'Col1,' || 'Row' || TRIM(PK) || 'Col2,' || 'Row' || TRIM(PK) || 'Col3'
FROM 
(
	SELECT * FROM SYS_CALENDAR.CALENDAR
	UNION ALL SELECT * FROM SYS_CALENDAR.CALENDAR
	UNION ALL SELECT * FROM SYS_CALENDAR.CALENDAR
	UNION ALL SELECT * FROM SYS_CALENDAR.CALENDAR
	UNION ALL SELECT * FROM SYS_CALENDAR.CALENDAR
	UNION ALL SELECT * FROM SYS_CALENDAR.CALENDAR
	UNION ALL SELECT * FROM SYS_CALENDAR.CALENDAR
	UNION ALL SELECT * FROM SYS_CALENDAR.CALENDAR
	UNION ALL SELECT * FROM SYS_CALENDAR.CALENDAR
) t01;

The Teradata “CSVLD” Function

This function requires all defined columns to be present. An error message will be shown if any columns cannot be created.

SET QUERY_BAND = 'Method=CSVLDFunc;' FOR SESSION;
SELECT * FROM TABLE (CSVLD(Split.ToBeSplit, ',', '')
RETURNS (col1 varchar(200), col2 varchar(200), col3 varchar(200))) as T1;

The Teradata “Unpack” Function

In contrast to the previously discussed function, the Unpack function also allows you to omit rows that cannot be split into all defined columns. The parameter “IgnoreInvalid” is used for this purpose:

SET QUERY_BAND = 'Method=UnpackFunc;' FOR SESSION;
SELECT 
	PK,
	CAST(Col1 AS VARCHAR(255)),
	CAST(Col2 AS VARCHAR(255)),
	CAST(Col3 AS VARCHAR(255))
FROM Unpack (
  ON Split
  USING
  TargetColumn ('ToBeSplit')
  OutputColumns ('Col1', 'Col2', 'Col3')
  OutputDataTypes ('varchar', 'varchar', 'varchar')
  Delimiter (',') 
  Regex ('(.*)')
  RegexSet (1)
  IgnoreInvalid ('true')
) AS t01 
;

The Teradata “strtok_split_to_table” Function

This function splits data into columns and assigns each column a number for identification. Additionally, it creates a new row for each column.

SET QUERY_BAND = 'Method=strtok_split_to_tab;' FOR SESSION;
WITH T1 as
( 
 SELECT d.* FROM TABLE (strtok_split_to_table( Split.PK, Split.ToBeSplit,  ',')
RETURNS (PK integer, tokennum integer, Col varchar(100)) ) as d
)
SELECT T1.* FROM t1
;

SELECT QUERYBAND,Spoolusage,TotalIOCount,AMPCPUTIme 
FROM DBC.DBQLOGTBL
WHERE QUERYBAND LIKE '%Method%'

Performance Considerations

Only the Teradata functions “CSVLD” and “Unpack” produce one output row for each input row, making them directly comparable. In contrast, “strtok_split_to_table” multiplies the number of rows and requires additional spool space.

Based on our empirical measurements (each query was executed three times), the Unpack method necessitates approximately 43% less spool space and 59% fewer I/Os.

Discover this fascinating article on Stack Overflow.

https://stackoverflow.com/questions/68931466/teradata-splitting-field-into-several-rows-using-strtok-split-to-table-for-b