Open Access
| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 7 | |
| Section | Modeling, Analysis, and Simulation of Intelligent Manufacturing Processes | |
| DOI | https://doi.org/10.1051/matecconf/201817301015 | |
| Published online | 19 June 2018 | |
- M. Armbrust, R. S. Xin, C. Lian, et al. Spark sql: Relational data processing in spark. ACM SIGMOD International Conference on Management of Data, 1383-1394 (2015). [Google Scholar]
- C. L. Liu. Research on Cost-based Query Optimization for Spark SQL. Doctoral Thesis. University of Electronic Science and Technology of China, Chengdu, China (2016). [Google Scholar]
- L. Zhang. Research on query analysis and Optimization Based on Spark system. Doctoral Thesis. Beijing Jiaotong University, Beijing, China (2016). [Google Scholar]
- R. C. Liu, M. Q. Zhou, X. J. Pi, et al. Optimization of the Equi-Join Problem Based on Big Data in Spark. Modern Computer, 8, 3-6 (2017). [Google Scholar]
- D. Zeng. Spark SQL Data Reuse Mechanism Based on Revenue Model. Doctoral Thesis. University of Chinese Academy of Sciences, Beijing, China (2016). [Google Scholar]
- K. Z. Cai. Query Optimization in SQL to Spark. Doctoral Thesis. Southeast University, Nanjing, China (2016). [Google Scholar]
- H. Q. Bian, Y. G. Chen, X. Y. Du, et al. Equi-join optimization on spark. Journal of East China Normal University, 5, 261-270 (2014). [Google Scholar]
- F. F. Cui, Z. Q. Nan. Research on Query Optimization Based on Ant Colony algorithm in Distributed Database. Computer Era, 5, 47-49 (2014). [Google Scholar]
- T. L. Saaty. Analytic Hierarchy Process. Encyclopedia of operations research and management science, 64-72 (2013). [CrossRef] [Google Scholar]
- D. Chen, X. J. Ye, L. Shi. Implementation of performance testing for TPC-DS benchmark. Journal of Computer Applications, 9, 2449-2452 (2011). [Google Scholar]
- TPC-DS. http://www.tpc.org/tpcds/ [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.