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. With this feature Oracle generates a wealth of performance data that can be reviewed once the test is complete.

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). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

Programming 67

Programming Benchmarking Virtualization C++ 67

Percona

OCTOBER 12, 2023

MySQL is not written in NodeJS, but we specify –lang node to launch the perf profiler, which is compatible with C/C++. Manual flame graphs collection Although the tool is excellent and automatically provides flame graphs, we don’t have much control over tuning the selected profiler.

Code 111

Code Tuning C++ Benchmarking 111

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

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. Logging Waits.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. As (C) looked like a kernel rebuild, I started with (D) and (E). ## 5. I also rewrote this in C and called gettimeofday(2) directly: $ cat gettimeofdaybench.c.

Speed 126

Speed Java AWS Virtualization 126

Percona

AUGUST 30, 2018

One of the common ways to classify database workloads is whether it is “read intensive” or “write intensive”. Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

n0derunner

MARCH 7, 2019

I use the “built in” benchmark pgbench to run a simple set of queries. pgbench creates a ~7.4gb database using a scale-factor of 500. pgbench -c 10 -S -T 600 -P 1 p gbench. For this experiment I am using Postgres v11 on Linux 3.10 The goal was to see what gains can be made from using hugepages. pgbench -i -s 500.

Performance 40

Performance Benchmarking 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. I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Hit Ctrl-C to end. and 4.14.12

Performance 75

Performance Benchmarking Cache Tuning 75

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. As (C) looked like a kernel rebuild, I started with (D) and (E). ## 6. I also rewrote this in C and called gettimeofday(2) directly: $ cat gettimeofdaybench.c

Speed 40

Speed Java AWS Virtualization 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. Similarly for this guide MySQL can be swapped for a mySQL based databases such as MariaDB. SELECT DISTINCT c from sbtest where id between ?

Best Practices 40

Best Practices Scalability Performance C++ 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. I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Hit Ctrl-C to end. and 4.14.12

Performance 40

Performance Benchmarking Cache Tuning 40

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? SQL Server 2005 introduces the snapshot database feature for point-in-time databases ​​ and online DBCC operations.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. Java/Python mostly and some small services in Go/C. Which database do you use? How is your database architected?

Architecture 52

Architecture Cache Azure Storage 52