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Operator-Level Parallelism

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  1. Boncz P, Zukowski M, Nes N. MonetDB/X100: hyper-pipelining query execution. In: Proceedings of the 2nd Biennial Conference on Innovative Data Systems Research; 2005. p. 225–37.

    Google Scholar 

  2. Boral H. Prototyping bubba: a highly parallel database system. IEEE Trans Knowl Data Eng. 1990;2(1):4.

    Article  Google Scholar 

  3. Chen MS, Lo M, Yu PS, Young HC. Using segmented right-deep trees for the execution of pipelined hash joins. In: Proceedings of the 18th International Conference on Very Large Data Bases; 1992. p. 15–26.

    Google Scholar 

  4. DeWitt DJ, Gray J. Parallel database systems: the future of high-performance database computing. Commun ACM. 1992;35(6):85–98.

    Article  Google Scholar 

  5. DeWitt DJ., Gerber RH, Graefe G, Heytens ML, Kumar KB, Muralikrishna M. GAMMA - a high performance dataflow database machine. In: Proceedings of the 12th International Conference on Very Large Data Bases; 1986. p. 228–37.

    Google Scholar 

  6. Graefe G. Volcano - an extensible and parallel query evaluation system. IEEE Trans Knowl Data Eng. 1994;6(1):120–35.

    Article  Google Scholar 

  7. Harizopoulos S, Ailamaki A. Staged D.B.: designing database servers for modern hardware. IEEE Data Eng Bull. 2005;28(2):11–6.

    Google Scholar 

  8. IBM Corp. DB2 Version 9 Performance Guide. Part no. SC10-4222-00. 2006.

    Google Scholar 

  9. Oracle Corp. Oracle Database Data Warehousing Guide. 10 g Release 1 (10.1). Part no. B10736–01. 2003.

    Google Scholar 

  10. Schneider DA. DeWitt DJ. Tradeoffs in processing complex join queries via hashing in multiprocessor database machines. In: Proceedings of the 12th International Conference on Very Large Data Bases; 1986. p. 469–80.

    Google Scholar 

  11. Yu PS, Chen MS, Wolf JL, and Turek JJ. Parallel query processing. In: Adam N, Bhargava B, editors. Advanced database systems. LNCS, vol. 759. Berlin: Springer; 1993. p. 239–58.

    Google Scholar 

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Correspondence to Nikos Hardavellas .

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Hardavellas, N., Pandis, I. (2018). Operator-Level Parallelism. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_661

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