Using Algorithmic Compression on DATASET Columns | Teradata Vantage - 17.10 - Using Algorithmic Compression on DATASET Columns - Advanced SQL Engine - Teradata Database

Teradata Vantageā„¢ - DATASET Data Type

Product
Advanced SQL Engine
Teradata Database
Release Number
17.10
Published
July 2021
Language
English (United States)
Last Update
2021-07-27
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The storage format specification defines a file format that transmits and stores the values along with a common schema. It also defines certain processes for operating on and compressing the storage format data.

You can perform algorithmic compression on DATASET data using the SNAPPY_COMPRESS and SNAPPY_DECOMPRESS routines.

You can only use SNAPPY_COMPRESS and SNAPPY_DECOMPRESS to compress DATASET data. If you use any other algorithmic compression routines, you will get an error.

For storage format AVRO:

CREATE TABLE avroCompressTable(
	id INTEGER,
	compressibleAvroFile DATASET STORAGE FORMAT AVRO
		COMPRESS USING SNAPPY_COMPRESS
		DECOMPRESS USING SNAPPY_DECOMPRESS);
For storage format CSV:
CREATE TABLE csvCompressTable(
	id INTEGER,
	compressibleCSVFile DATASET STORAGE FORMAT CSV
		COMPRESS USING SNAPPY_COMPRESS
		DECOMPRESS USING SNAPPY_DECOMPRESS);

For more information about algorithmic compression, see Teradata Vantageā„¢ - Data Types and Literals, B035-1143.