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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019. So Which Is Best?

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Solaris to Linux Migration 2017

Brendan Gregg

Linux has been adding tracing technologies over the years: kprobes (kernel dynamic tracing), uprobes (user-level dynamic tracing), tracepoints (static tracing), and perf_events (profiling and hardware counters). Outside of EC2, many other providers are deploying on KVM.

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Why Waits Alone Are Not Enough

SQL Performance

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. Query Store 2017 to the Rescue.

Tuning 115
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The Speed of Time

Brendan Gregg

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. html [60s checklist]: /Articles/Netflix_Linux_Perf_Analysis_60s.pdf [re:Invent talk]: [link] [recommendation]: [link] [Nitro]: /blog/2017-11-29/aws-ec2-virtualization-2017.html

Speed 126
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Finding Distinct Values Quickly

SQL Performance

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. Finding a small number of distinct values might seem like quite a specific requirement, but I have come across it fairly frequently over the years, usually as part of tuning a larger query. Test Environment. Final Thoughts.

Servers 86
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The Ultimate Guide to MySQL Partitions

Percona

This blog was originally published in July 2017 and was updated in August 2023. This means that multiple partitions can be processed simultaneously, making better use of available hardware resources and further enhancing query performance. This helps identify potential issues and fine-tune the partitioning strategy.

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Using Parallel Query with Amazon Aurora for MySQL

Percona

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. Here is a summary of the queries: Simple queries: select count(*) from ontime where flightdate > '2017-01-01'. With faster disks (i.e. AWS Aurora (based on MySQL 5.6)

Cache 47