Unpack Function | Teradata Vantage - Unpack - Teradata Vantage

Teradata® VantageCloud Lake

Deployment
VantageCloud
Edition
Lake
Product
Teradata Vantage
Published
January 2023
Language
English (United States)
Last Update
2024-04-03
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The Unpack function unpacks data from a single packed column into multiple columns. The packed column is composed of multiple virtual columns, which become the output columns. To determine the virtual columns, the function must have either the delimiter that separates them in the packed column or their lengths.

Use the Unpack function to unpack data from a source column into multiple target columns. It is commonly used to separate a single column of data into multiple columns based on a specific delimiter or separator. The Unpack function complements the Pack function, but you can use it on any packed column that meets the input requirements.

For example, if you have a column containing a full name, you can use unpack function to parse the name into separate columns for first name and last name. The unpack function can also be used to extract specific characters or strings from column based on a particular position or length.

You can also use the Unpack function to extract specific characters or substrings from a column based on a particular position or length. This is useful when working with data that is stored in a fixed-width format.The Unpack function is a tool for manipulating and extracting data. Its flexibility and ease of use make it a valuable tool for data analysts and database administrators.