By Hasso Plattner
-Presents the internal mechanics of an in-memory database
-Includes 34 studying devices with greater than a hundred self-tests and complete explanation
-Explains an immense new develoment in firm computing
Recent achievements in and software program improvement, resembling multi-core CPUs and DRAM capacities of a number of terabytes in step with server, enabled the creation of a progressive know-how: in-memory facts administration. This know-how helps the versatile and very speedy research of big quantities of company information. Professor Hasso Plattner and his learn staff on the Hasso Plattner Institute in Potsdam, Germany, were investigating and educating the corresponding strategies and their adoption within the software program for years.
This booklet is predicated at the first on-line path at the openHPI e-learning platform, which used to be introduced in autumn 2012 with greater than 13,000 newbies. The e-book is designed for college students of machine technology, software program engineering, and IT comparable topics. besides the fact that, it addresses enterprise specialists, choice makers, software program builders, expertise specialists, and IT analysts alike. Plattner and his staff specialise in exploring the internal mechanics of a column-oriented dictionary-encoded in-memory database. lined themes contain - among others - actual facts garage and entry, simple database operators, compression mechanisms, and parallel sign up for algorithms. past that, implications for destiny company functions and their improvement are mentioned. Readers are result in comprehend the unconventional ameliorations and benefits of the recent expertise over conventional row-oriented disk-based databases.
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Extra resources for A Course in In-Memory Data Management
The state of the memory cell is stored in the capacitor while the transistor is only used to guard the access to the capacitor. This design is more economical compared to SRAM. However, it introduces a couple of complications. First, the capacitor discharges over time and while reading the state of the memory cell. Therefore, today’s systems refresh DRAM chips every 64 ms [CJDM01] and after every read of the cell in order to recharge the capacitor. During the refresh, no access to the state of the cell is possible.
In the end, every operation takes place inside the CPU and in turn the data has to be in the registers. 1 shows some of the latencies, which come into play regarding the memory hierarchy. Latency is the time delay experienced by the system to load the data from the storage medium until it is available in a CPU register. 5 ns. In contrast, accessing a main memory reference takes 100 ns and a simple disk seek is taking 10 ms. In the end, there is nothing special about ‘‘in-memory’’ computing and all computing ever done was in memory, because it can only take place in the CPU.
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. On the other hand, decreasing the number of bits used for data representation can reduce both memory consumption and memory access times. Dictionary encoding builds the basis for several other compression techniques (see Chap.
A Course in In-Memory Data Management by Hasso Plattner