Turbocharging DBMS buffer pool using SSDs

Do, Jaeyoung; Zhang, Donghui; Patel, Jignesh M.; DeWitt, David J.; Naughton, Jeffrey F.; Halverson, Alan

doi:10.1145/1989323.1989442

Cited by 69 publications

(57 citation statements)

References 20 publications

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“…It divides disk into regions, and maintains temperature information in every region as disk accesses occur. Do et al [26] extends the work of Canim et al They implemented three SSD design alternatives. But different from TAC, page reads from disk (clean page) are delayed to write to SSD.…”

Section: Resultsmentioning

confidence: 97%

A New Metadata Update Method for Fast Recovery of SSD Cache

Yang

2013

2013 IEEE Eighth International Conference on Networking, Architecture and Storage

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Abstract-In order to maintain data in an SSD (solid-state disk) cache durable after a crash or reboot, metadata information needs to be stored persistently in SSD. There are two typical metadata methods, update-write-update and write-update. While write-update method has one less SSD write operation than update-write-update for each write I/O, it limits the amount of cached data that can be used after a system crash. We present a design and implementation of a novel metadata update method for SSD cache, referred to as Lazy-Update Following an Update-Write (LUFUW). Our new metadata update method allows maximal amount of data in SSD cache available upon restart after a power failure or system crash with minimal additional writes to SSD. This capability makes restart run twice as fast as existing SSD caches such as Flashcache [1] that can only use dirty data in the cache after crash recovery. We present our prototype implementation on Linux kernel and performance measurements as compared with existing SSD cache solutions.

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Section: Resultsmentioning

confidence: 97%

A New Metadata Update Method for Fast Recovery of SSD Cache

Yang

2013

2013 IEEE Eighth International Conference on Networking, Architecture and Storage

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“…In [17] database objects are either placed on HDDs or SSDs based on workload characteristics. As opposed to using SSDs and HDDs at the same level in the storage hierarchy, SSDs are also used as a second layer cache between main memory and HDDs [37,15,18,23].…”

Section: Related Workmentioning

confidence: 99%

“…Unlike previous approaches [17,37,15,18,23], we do not propose to simply store "hot" data on SSDs. Instead, we change the data structures in the storage hierarchy to employ an extra level of indirection through solid state storage.…”

Section: Introductionmentioning

confidence: 99%

Making updates disk-I/O friendly using SSDs

Sadoghi¹,

Ross

Canim³

et al. 2013

Proc. VLDB Endow.

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Multiversion databases store both current and historical data. Rows are typically annotated with timestamps representing the period when the row is/was valid. We develop novel techniques for reducing index maintenance in multiversion databases, so that indexes can be used effectively for analytical queries over current data without being a heavy burden on transaction throughput. To achieve this end, we re-design persistent index data structures in the storage hierarchy to employ an extra level of indirection. The indirection level is stored on solid state disks that can support very fast random I/Os, so that traversing the extra level of indirection incurs a relatively small overhead.The extra level of indirection dramatically reduces the number of magnetic disk I/Os that are needed for index updates, and localizes maintenance to indexes on updated attributes. Further, we batch insertions within the indirection layer in order to reduce physical disk I/Os for indexing new records. By reducing the index maintenance overhead on transactions, we enable operational data stores to create more indexes to support queries. We have developed a prototype of our indirection proposal by extending the widely used Generalized Search Tree (GiST) open-source project, which is also employed in PostgreSQL. Our working implementation demonstrates that we can significantly reduce index maintenance and/or query processing cost, by a factor of 3. For insertions of new records, our novel batching technique can save up to 90% of the insertion time.

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“…In [22], the authors studied three design alternatives of an SSD-based mid-tier, which differ mainly in the way how to deal with dirty pages evicted from the first-tier, e. g., write through or write back.…”

Section: Related Workmentioning

confidence: 99%

Improving Database Performance Using a Flash-Based Write Cache

Härder

2012

Database Systems for Advanced Applications

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Abstract. The use of flash memory as a write cache for a database stored on magnetic disks has been so far largely ignored. In this paper, we explore how flash memory can be efficiently used for this purpose and how such a write cache can be implemented. We systematically study the design alternatives, algorithms, and techniques for the flash-based write cache and evaluate them using trace-driven simulations, covering the most typical database workloads.

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Turbocharging DBMS buffer pool using SSDs

Cited by 69 publications

References 20 publications

A New Metadata Update Method for Fast Recovery of SSD Cache

A New Metadata Update Method for Fast Recovery of SSD Cache

Making updates disk-I/O friendly using SSDs

Improving Database Performance Using a Flash-Based Write Cache

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