Block-Level Compression | Database Design | VantageCloud Lake - Block-Level Compression - Teradata VantageCloud Lake

Lake - Database Reference

Deployment
VantageCloud
Edition
Lake
Product
Teradata VantageCloud Lake
Release Number
Publication Date
February 2025
Publication ID
B700-4600-006K
ft:locale
en-US
ft:lastEdition
2025-11-21
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A data block is a physical unit of I/O that defines how the database handles data. When you specify block-level compression (BLC), the database stores data blocks in compressed format to save storage space. BLC can be enabled or disabled system-wide or for specific types of tables only. BLC can be applied to these objects:
  • Journal tables
  • Join indexes
  • Spool tables
  • Global temporary tables
  • Primary subtables
  • Fallback subtables
  • LOB subtables (JSON, XML, and character)

Block-level compression is independent of any other type of compression applied to the same data.

The goals of block-level compression are to save storage space and to reduce disk I/O bandwidth. Block-level compression can use significantly more CPU to compress and decompress data dynamically, so whether query performance is enhanced with block-level compression depends on whether performance is more limited by disk I/O bandwidth or CPU usage.

The following site provides guidelines for evaluating the impact of block-level compression on performance and on disk space: https://downloads.teradata.com/download/extensibility/blc-eval-utility. The site also provides a link to download the Block Level Compression Evaluation utility.