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Scalability and Performance Improvements in PostgreSQL 9.5

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Scalability and Performance Improvements in PostgreSQL 9.5
Alternative Title
Scalability and Performance Improvements in PostgreSQL
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29
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CC Attribution - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Production PlaceOttawa, Canada

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Abstract
This paper will main talk about the scalability and performance improvements done in PostgreSQL 9.5 and will discuss about the improvements that can be done to improve the scalability for both Write and Read operations. The paper will focus on pain points of Buffer Management in PostgreSQL and the improvements done in 9.5 to improve the situation along with performance data. It will also describe in brief the performance improvements done in 9.5. It will also discuss the locking bottlenecks due to various locks (lightweight locks and spinlocks) taken during Read operation and what could be done to further scale the Read operation. The other part of the paper focusses on improving the Write-workload in PostgreSQL. In this part we will discuss about the frequency of writes done by backend operations (along with data) due to limitations of current bgwriter algorithm and some ideas to improve the performance by reducing writes done by backend. It will also discuss about the concurrency bottlenecks in write operation and some ideas to mitigate the same.