Abstract

By caching dirty pages in memory space of a buffering pool, a database system can reduce expensive physical I/O’s required in page updates. If any data page cached has constant updates on itself, it seems to stay long in the buffering pool without flushing-out. Although the existence of such aged dirty pages can reduce the amount of physical updates in storage, it is apt to prolong time taken for recovery procedure after system failure. To prevent such a delayed recovery time, database systems usually take an approach of flushing aged dirty pages in a background mode. Even though the approach may be beneficial in the case of HDD storage, this may not be the case for flash storage because of its high update costs. To solve this problem, we proposed a new logging scheme and a recovery algorithm running with it. Since aged dirty pages in our method are written into a dedicated log file, rather than into data area in storage, we can evade frequent updating of them. To reduce the amount of log data written for that purpose, our logging scheme uses a small size of snapshot log. Since the write of a snapshot log record can put the redo start point forwards, we can guarantee the fast recovery procedure, while reducing the number of page updates. Due to reduced update workloads, our method can improve the overall throughput of flash storage.

Highlights

  • By caching dirty pages in memory space of a buffering pool, a database system can reduce expensive physical I/O’s required in page updates

  • As the price per bit gets cheaper at a fast rate, flash storage seems to be used for largescale database systems in the future

  • If page X is written to storage, it is removed from a dirty page table (DPT) along with the information about its recovery log record

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Summary

Proposed Method

A logging mechanism is vital for preserving the ACID properties of transactions. Since the buffering scheme works with the NO-FORCE policy for fast processing of transactions, some dirty pages may not be written for a long period of time because of their frequent references. The existence of such aged dirty pages can be useful for reducing I/O workloads, it adversely affects the recovery time in face of system failure. This is because we have to pay more time for redoing abrupt updates involved with the aged dirty pages. Make periodically checkpoints to capture the states of a buffering pool and in-progress transactions. As checkpoint data for dirty pages in the buffering pool, ARIES-style logging schemes save page ID’s of

Proposed Logging Scheme
Recovery Algorithm
Performance Analysis
Conclusions
Full Text
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