Percona

MARCH 27, 2023

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Results for Percona Server for MySQL 5.7

Cache 98

Cache Hardware Servers Benchmarking 98

Percona

AUGUST 29, 2018

Poorly configured OS kernel parameters can cause degradation in database server performance. Therefore, it is imperative that these parameters are configured according to the database server and its workload. Be aware of differing definitions. These are the definitions: Linux: kernel.shmmax, kernel.shmall.

Tuning 54

Tuning Database Servers Processing 54

Percona

AUGUST 27, 2018

It is well hidden in the Optimization: Optimizing the MySQL Server chapter. assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not.

Tuning 44

Tuning Virtualization Testing Servers 44

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

Alex Podelko

OCTOBER 20, 2016

System’s configuration is not given anymore and often can’t be easily mapped to hardware. As already mentioned, performance testing is rather a performance engineering process (with tuning, optimization, troubleshooting and fixing multi-user issues) eventually bringing the system to the proper state rather than just testing.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

Percona

JANUARY 19, 2023

Sharding: Sharding is the concept of splitting data horizontally, i.e. by distributing data into multiple servers (shards), meaning that the different portions of data for a given table, may be stored on many different servers. This can help to split large data sets into smaller ones stored in multiple servers.

Open Source 85

Open Source Storage Database Big Data 85

HammerDB

FEBRUARY 25, 2021

When we have multiple CPU cores on both the benchmark client and database server it is crucial that these database sessions run independently of each other at the same time, in parallel. The following is an example from TPROC-C from SQL Server. and the following from TPROC-H. select top 100. where p_partkey = ps_partkey. Glue language.

Programming 67

Programming Benchmarking Virtualization C++ 67