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Compression

In: A Course in In-Memory Data Management

Author

Listed:
  • Hasso Plattner

    (Hasso Plattner Institute)

Abstract

As discussed in Chap. 5, SanssouciDB is a database architecture designed to run transactional and analytical workloads in enterprise computing. The underlying data set can easily reach a size of several terabytes in large companies. Although memory capacities of commodity servers are growing, it is still expensive to process those huge data sets entirely in main memory. Therefore, SanssouciDB and most modern in-memory storage engines use compression techniques on top of the initial dictionary encoding to decrease the total memory requirements. The columnar storage of data, as applied in SanssouciDB, is well suited for compression techniques, as data of the same type and domain is stored consecutively.

Suggested Citation

  • Hasso Plattner, 2013. "Compression," Springer Books, in: A Course in In-Memory Data Management, edition 127, chapter 0, pages 43-54, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-36524-9_7
    DOI: 10.1007/978-3-642-36524-9_7
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