Search and Query Processing
Search and query processing involves translation of high-level queries or user requests into low-level operations which can be executed on physical hardware to retrieve relevant results from a database. The process generally involves conversion of the high-level query into an intermediate representation, optimization of the intermediate representation to generate an optimal evaluation plan and finally the execution of the optimized plan on physical hardware to retrieve relevant results (Markl 2009). Figure 1 shows the major steps involved in query processing for relational databases.
Query processing steps
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References
Allison Linn (2016) The moonshot that succeeded: how bing and azure are using an AI supercomputer in the cloud. https://blogs.microsoft.com/ai/2016/10/17/the_moonshot_that_succeeded
Avinash Sodani (2016) Knights landing (KNL): 2nd generation IntelⓇXeon Phi processor. https://www.alcf. anl.gov/files/HC27.25.710-Knights-Landing-Sodani- Intel.pdf
Cheng X, He B, Du X, Lau CT (2017) A study of main-memory hash joins on many-core processor: a case with intel knights landing architecture. In: Proceedings of the 2017 ACM on conference on information and knowledge management, CIKM ’17. ACM, New York, pp 657–666. http://doi.acm.org/10.1145/3132847.3132916
Fang R, He B, Lu M, Yang K, Govindaraju NK, Luo Q, Sander PV (2007) GPUQP: query co-processing using graphics processors. In: Proceedings of the 2007 ACM SIGMOD international conference on management of data, SIGMOD ’07. ACM, New York, pp 1061–1063. http://doi.acm.org/10.1145/1247480.1247606
Heimel M, Saecker M, Pirk H, Manegold S, Markl V (2013) Hardware-oblivious parallelism for in-memory column-stores. Proc VLDB Endow 6(9):709–720. http://dx.doi.org/10.14778/2536360.2536370
Jha S, He B, Lu M, Cheng X, Huynh HP (2015) Improving main memory hash joins on intel xeon phi processors: an experimental approach. Proc VLDB Endow 8(6):642–653. http://dx.doi.org/10.14778/2735703.2735704
MapD (2016) The world’s fastest platform for data exploration. http://go.mapd.com/rs/116-GLR-105/images/ MapD%20Technical%20Whitepaper%20Summer%20 2016.pdf
Markl V (2009) Query processing (in relational databases). Springer US, Boston, pp 2288–2293. https://doi.org/10.1007/978-0-387-39940-9_296
NVIDIA (2016) NVIDIA Tesla P100. https://images. nvidia.com/content/pdf/tesla/whitepaper/pascal-archit- ecture-whitepaper.pdf
Paul J, He J, He B (2016) GPL: a GPU-based pipelined query processing engine. In: Proceedings of the 2016 international conference on management of data, SIGMOD ’16. ACM, New York, pp 1935–1950. http://doi.acm.org/10.1145/2882903.2915224
Pirk H, Moll O, Zaharia M, Madden S (2016) Voodoo – a vector algebra for portable database performance on modern hardware. Proc VLDB Endow 9(14):1707–1718. http://dx.doi.org/10.14778/3007328.3007336
Wang Z, Paul J, Cheah HY, He B, Zhang W (2016) Relational query processing on opencl-based fpgas. In: 2016 26th international conference on field programmable logic and applications (FPL), pp 1–10. http://dx.doi.org/10.1109/FPL.2016.7577329
Woods L, István Z, Alonso G (2014) Ibex: an intelligent storage engine with support for advanced sql offloading. Proc VLDB Endow 7(11):963–974. http://dx.doi.org/10.14778/2732967.2732972
Wu L, Lottarini A, Paine TK, Kim MA, Ross KA (2014) Q100: the architecture and design of a database processing unit. SIGARCH Comput Archit News 42(1):255–268. http://doi.acm.org/10.1145/2654822.2541961
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Paul, J., He, B., Lau, C.T. (2018). Search and Query Accelerators. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_166-1
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