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Why you should benchmark your database using stored procedures

HammerDB

Stored Procedures and Client SQL comparison To test the stored procedures and client implementations, we ran both workloads against a system equipped with Intel Xeon 8280L. When we observe the global CPU usage one clear difference is the increase in softirqs or software interrupts.(If On MySQL, we saw a 1.5X performance advantage.

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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. A quick check of basic performance statistics showed over 30% higher CPU consumption. in total.

Speed 126
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A persistent problem: managing pointers in NVM

The Morning Paper

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. Therefore any programming abstraction must be low latency and the kernel needs to be kept off the path of persistent data access as much as possible.

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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. A quick check of basic performance statistics showed over 30% higher CPU consumption.

Speed 52
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Progress Delayed Is Progress Denied

Alex Russell

For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience. is access to hardware devices. Provides safe access to USB devices from the web, enabling new classes of applications in the browser from education to software development and debugging. Offscreen Canvas. Web Serial.

Media 145
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. A quick check of basic performance statistics showed over 30% higher CPU consumption. in total.

Speed 40
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Linux Load Averages: Solving the Mystery

Brendan Gregg

I generated this using my offcputime tool from [bcc] (this tool needs eBPF features from Linux 4.8+), and my [flame graph] software: #./bcc/tools/offcputime.py Some people have found values that seem to work for their systems and workloads: they know that when load goes over X, application latency is high and customers start complaining.

Latency 111