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SAP HANA Cookbook

You're reading from   SAP HANA Cookbook Your all-inclusive guide to understanding SAP HANA with practical recipes with over 50 recipes

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782177623
Length 284 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. SAP HANA Studio – Look and Feel FREE CHAPTER 2. Data Provisioning 3. Modeling 4. Reporting 5. Advanced Features in SAP HANA 6. User Management A. Introduction to SAP HANA B. Architecture C. Applications Powered by SAP HANA Index

Storing data – column storage

Having learned about the row store engine of SAP HANA, now let us learn about the column store engine. Data will be stored in RAM, similar to the row store engine. The concept of column storage has emerged from Text Retrieval and Extraction (TREX). This technology was further developed into a full relational column-based datastore. Compression works well with columns and can speed up operations on columns up to a factor of 10. Column storage is optimized for high performance of a read operation. There are two types of indices for column store table for each column: a main storage and a delta storage. For write operations, the delta storage is optimized. The main storage is optimized in terms of the read performance and memory consumption. Performance issues when loading directly to compressed columns can be addressed by the delta tables.

The architecture of a column store is shown in the following diagram:

Storing data – column storage

The components of the column engine are explained...

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