HammerDB

OCTOBER 18, 2018

An essential part of database performance testing is viewing the statistics generated by the database during the test and in 2009 HammerDB introduced automatic AWR snapshot generation for Oracle for the TPC-C test. However what if you want to review performance data in real time as the test is running?

Benchmarking 40

Benchmarking Monitoring Performance C++ 40

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). This post explains why HammerDB made the language decisions it made to make it the best performing and most usable database benchmarking software.

Programming 67

Programming Benchmarking Virtualization C++ 67

Adrian Cockcroft

JUNE 21, 2022

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Brendan Gregg

SEPTEMBER 25, 2021

As (C) looked like a kernel rebuild, I started with (D) and (E). ## 5. There's also a test and println() in the loop to, hopefully, convince the compiler not to optimize-out an otherwise empty loop. This will slow this test a little.) I also rewrote this in C and called gettimeofday(2) directly: $ cat gettimeofdaybench.c.

Speed 126

Speed Java AWS Virtualization 126

HammerDB

NOVEMBER 5, 2018

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. so what are your options?

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Brendan Gregg

FEBRUARY 9, 2018

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. Much of my testing was on Linux 4.14.11 I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings.

Performance 75

Performance Benchmarking Cache Tuning 75

Rigor

JANUARY 13, 2020

Steve Souders, plus Dion Almaer, Doug Crockford, Ben Galbraith, Tony Gentilcore, Dylan Schiemann, Stoyan Stefanov, Nicole Sullivan, Nicholas C. This practical guide shows users how run tests & interpret results to gain a better and more thorough understanding of hidden features in WebPageTest. Web Performance Tuning.

Performance 75

Performance Social Media Website Website Performance 75

Brendan Gregg

SEPTEMBER 25, 2021

As (C) looked like a kernel rebuild, I started with (D) and (E). ## 6. There's also a test and println() in the loop to, hopefully, convince the compiler not to optimize-out an otherwise empty loop. This will slow this test a little.) I also rewrote this in C and called gettimeofday(2) directly: $ cat gettimeofdaybench.c

Speed 40

Speed Java AWS Virtualization 40

Brendan Gregg

FEBRUARY 8, 2018

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. Much of my testing was on Linux 4.14.11 I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings.

Performance 40

Performance Benchmarking Cache Tuning 40

HammerDB

OCTOBER 12, 2018

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . order by c.

Best Practices 40

Best Practices Scalability Performance C++ 40

Randon ASCII

APRIL 17, 2018

When you own all of the code then this may involve some back of the envelope estimates, competitive benchmarking, or intuition tuned by experience. It seems weird to be spending that much time dealing with memory in a file-system test, but in fact, it’s worse than that. You know where to find me. Weaponizing this knowledge.

Monitoring 43

Monitoring C++ Code Processing 43

John McCalpin

JANUARY 22, 2018

After almost four weeks, we have a solid characterization of the behavior — no tested code exceeds an execution rate of 12 vector pipe instructions every 7 cycles (6/7 of the nominal peak) when executed on a single core — but we are unable to propose a testable quantitative model for the source of the throughput limitation.

Latency 40

Latency Hardware Code Testing 40

SQL Server According to Bob

JANUARY 11, 2020

Character POS ASCII Value Formula Value A 1 65 67 C 2 67 69 Checksum 136 Comparing ​​ the checksum values indicates ​​ that the values do not match and ​​ damage ​​ has occurred to the data. ​​ Incorrect configurations lead to data loss.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

If you develop something then you own the lifecycle of that product, which means you would work with QA, DevOps to ensure it’s tested/deployed. We use a variant of git-flow, for every ticket, we clone the repo and we run automation tests on every merge request. Java/Python mostly and some small services in Go/C.

Architecture 52

Architecture Cache Azure Storage 52