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DOMe: A deduplication optimization method for the NewSQL database backups.

Longxiang Wang1, Zhengdong Zhu1, Xingjun Zhang1

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This study introduces a new data deduplication method (DOMe) optimized for NewSQL database backups. DOMe leverages hardware resources like CPU cores and memory to significantly boost backup deduplication performance and efficiency.

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Area of Science:

  • Computer Science
  • Database Systems
  • Data Storage

Background:

  • NewSQL databases require frequent backups for reliability, generating substantial duplicated data.
  • Traditional deduplication methods are inefficient on NewSQL systems and do not utilize modern hardware resources.
  • Future NewSQL servers will feature extensive CPU cores, DRAM, and NVRAM, necessitating optimized deduplication strategies.

Purpose of the Study:

  • To develop an optimized data deduplication method for NewSQL system backups.
  • To effectively utilize the abundant hardware resources in NewSQL servers for improved deduplication performance.

Main Methods:

  • Proposed a deduplication optimization method (DOMe) for NewSQL backups.
  • Parallelized deduplication processes using the fork-join framework to leverage multi-core CPUs.
  • Implemented the fingerprint index as a pure in-memory hash table to utilize large DRAM capacity.

Main Results:

  • DOMe effectively reduces duplicated data in NewSQL backups.
  • Achieved a speedup ratio of up to 18, nearing the theoretical limit, by parallelizing Change Data Capture (CDC) algorithms.
  • Enhanced deduplication throughput by 1.5 times through in-memory index optimization.

Conclusions:

  • DOMe offers a significant performance improvement for NewSQL database backup deduplication.
  • The method efficiently utilizes modern hardware, addressing limitations of traditional approaches.
  • DOMe presents a viable solution for managing large-scale NewSQL data backups efficiently.