15.00 - CSVLD - Teradata Database

Teradata Database SQL Functions, Operators, Expressions, and Predicates

Teradata Database
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Programming Reference
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English (United States)
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CSVLD (Comma-Separated Value Data Loading) takes in a comma-separated string produced through the CSV table function, parses the string, and returns VARCHAR columns.




Syntax element …

Specifies …


the name of the database where the function is located.


a string argument.


a character argument.

A comma (,) is the default delimiter character.

delim_string_value is used to determine the boundaries of the data_string_value.


a character argument.

If you specify a quotation mark character, for example ‘”’, then columns defined as string data types are returned within quotation marks.

ANSI Compliance

This is a Teradata extension to the ANSI SQL:2011 standard.


CSVLD is an embedded services system function. For information on activating and invoking embedded services functions, see “Embedded Services System Functions” on page 24.

Argument Types and Rules

Expressions passed to this function must have a VARCHAR data type.

You can also pass arguments with data types that can be converted to the above type using the implicit data type conversion rules that apply to UDFs.

Note: The UDF implicit type conversion rules are more restrictive than the implicit type conversion rules normally used by Teradata Database. If an argument cannot be converted to the required data type following the UDF implicit conversion rules, it must be explicitly cast.

For details, see “Compatible Types” in SQL External Routine Programming.

Result Type

CSVLD is a table function can return up to 1024 VARCHAR columns in either the LATIN or UNICODE character set.

The number of output columns specified in this function must match the comma separated values in the input string.


The following query:

SELECT * FROM TABLE (CSVLD(load_date.data, ',', '"')
RETURNS (p1 varchar(100), p2 varchar(100))) as T1;

CSVLD parses the comma-separated strings and returns two VARCHAR columns.