Research on Big Data Volume Storage Structure Design and Quick Query Mechanism of Oracle Database
- https://doi.org/10.2991/msmee-17.2017.8How to use a DOI?
- Big data; data segmentation; indexing; query optimization; distributed
Based on a mobile resource management platform, this paper provides a solution for the effective storage and querying of the massive structured data and unstructured data was generated by research and analysis. In the aspect of structured data, this paper first divides the database vertically according to the characteristics of the business, stores the data of the write operation more frequently and stores the data more frequently in the different database, and improves the reading and writing performance of the data. For the basic information of equipment and statistical information related to the existence of large concurrent read operation, the data has been cut again, the two kinds of information on different libraries, and further improve the system to deal with high concurrent read query capabilities.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dingfa Liu PY - 2017/05 DA - 2017/05 TI - Research on Big Data Volume Storage Structure Design and Quick Query Mechanism of Oracle Database BT - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017) PB - Atlantis Press SP - 33 EP - 38 SN - 2352-5401 UR - https://doi.org/10.2991/msmee-17.2017.8 DO - https://doi.org/10.2991/msmee-17.2017.8 ID - Liu2017/05 ER -