By Hasso Plattner
Recent achievements in and software program improvement, reminiscent of multi-core CPUs and DRAM capacities of a number of terabytes in keeping with server, enabled the creation of a innovative expertise: in-memory facts administration. This know-how helps the versatile and very quickly research of huge quantities of firm information. Professor Hasso Plattner and his learn staff on the Hasso Plattner Institute in Potsdam, Germany, were investigating and instructing the corresponding options and their adoption within the software program for years.
This e-book relies at the first on-line direction at the openHPI e-learning platform, which was once introduced in autumn 2012 with greater than 13,000 novices. The booklet is designed for college kids of machine technology, software program engineering, and IT similar matters. even if, it addresses enterprise specialists, determination makers, software program builders, expertise specialists, and IT analysts alike. Plattner and his crew concentrate on exploring the interior mechanics of a column-oriented dictionary-encoded in-memory database. coated themes comprise - among others - actual information garage and entry, simple database operators, compression mechanisms, and parallel subscribe to algorithms. past that, implications for destiny firm purposes and their improvement are mentioned. Readers are bring about comprehend the unconventional changes and benefits of the recent expertise over conventional row-oriented disk-based databases.
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Additional info for A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases
A) (b) (c) (d) No, because every column can be used as an index Yes, they can still be used to increase performance Yes, but only because data is compressed No, they are not even possible in columnar databases. P. N. Khoshafian, A decomposition storage model. SIGMOD Rec. 14(4), 268–279 (1985) Part II Foundations of Database Storage Techniques Chapter 6 Dictionary Encoding Since memory is the new bottleneck, it is required to minimize access to it. Accessing a smaller number of columns can do this on the one hand; so only required attributes are queried.
Plattner, Cache conscious column organization in inmemory column stores. Technical Report 60, Hasso-Plattner-Institute, December 2012 Chapter 5 A Blueprint of SanssouciDB SanssouciDB is a prototypical database system for unified analytical and transactional processing. The concepts of SanssouciDB build on prototypes developed at the HPI and an existing SAP database system. SanssouciDB is an SQL database and it contains similar components as other databases such as a query builder, a plan executer, meta data, a transaction manager, etc.
1 Memory Cells In early computer systems, the frequency of the CPU was the same as the frequency of the memory bus and register access was only slightly faster than memory access. However, CPU frequencies did heavily increase in the last years following Moore’s Law1 [Moo65], but frequencies of memory buses and latencies of memory chips did not grew with the same speed. As a result, memory access gets more expensive, as more CPU cycles are wasted while stalling for memory access. This development is not due to the fact that fast memory can not be built, it is an economical decision as memory which is as fast as current CPUs would be 1 Moore’s Law is the assumption that the number of transistors on integrated circuits doubles every 18–24 months.
A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases by Hasso Plattner