Oracle SecureFiles: prepared for the digital deluge

  • Authors:
  • Niloy Mukherjee;Amit Ganesh;Vinayagam Djegaradjane;Sujatha Muthulingam;Wei Zhang;Krishna Kunchithapadam;Scott Lynn;Bharath Aleti;Kam Shergill;Shaoyu Wang

  • Affiliations:
  • Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA;Oracle Corporation, Redwood Shores, CA

  • Venue:
  • Proceedings of the VLDB Endowment
  • Year:
  • 2009

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Abstract

Digital unstructured data volumes across enterprise, Internet and multimedia applications are predicted to surpass 6.023x1023 (Avogadro's number) bits a year in the next fifteen years. This poses tremendous scalability challenges for data management solutions in the coming decades. Filesystems seem to be preferred by data management application designers for providing storage solutions for such unstructured data volumes. Oracle SecureFiles is emerging as the database solution to break the performance barrier that has kept unstructured content out of database management systems and to provide advanced filesystem functionality, while letting applications fully leverage the strengths of the RDBMS from transactions to partitioning to rollforward recovery. A set of preliminary performance results was presented at the 34th International Conference on Very Large Data Bases (VLDB 2008). It was claimed that SecureFiles would scale maximally as physical storage systems scale up. We legitimize our claims on SecureFiles scalability through this paper, presenting the scalability aspects of SecureFiles through a performance evaluation of I/O bound filesystem like operations on one of the latest high performance cluster of servers and storage. We are presenting benchmark results that we believe represent a world record database insertion rate for any published result - at over 4.4GB/S using a cluster of seven servers. For 100 byte rows, that represents an insertion rate of 45 billion records a second in relational terms. In terms of unstructured data storage, the scale represents an insertion rate of more than 3.7 million 100 MB high-resolution multimedia videos a day.