HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Why HammerDB was developed. Adoption by the TPC.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

OCTOBER 12, 2023

An example of a flame graph can be found below: Each box is a function in the stack, and wider boxes mean more time the system was busy on CPU on these functions. Kubernetes limitations In Linux, by default, performance system events can’t be collected by unprivileged users.

Code 107

Code Tuning C++ Benchmarking 107

HammerDB

MAY 26, 2022

If you are not already familiar with the programming languages that HammerDB uses, then this earlier post serves as an ideal introduction to what makes up the highest performing GIL free database benchmarking application. What programming languages does HammerDB use and why does it matter? GETTING STARTED ON LINUX. linux-glibc2.12-x86_64/bin

C++ 113

C++ Database Open Source Servers 113

HammerDB

MARCH 25, 2023

Docker build, example CLI scripts were added to build and run the TPROC-C workload in the Tcl language. these were enhanced to also add Python based scripts, and to include scripts for both TPROC-C and TPROC-H and a driver script for Linux environments. With the HammerDB v4.5 In HammerDB v4.6 With HammerDB v4.7

C++ 83

C++ Virtualization Benchmarking Database 83

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Was there some other program consuming CPU, like a misbehaving Ubuntu service that wasn't in CentOS? Microbenchmark os::javaTimeMillis() on both systems. As (C) looked like a kernel rebuild, I started with (D) and (E). ## 5.

Speed 126

Speed Java AWS Virtualization 126

The Morning Paper

MAY 23, 2019

These techniques work well for scientific programs that are dominated by arrays. However, they are ineffective on object-based programs because objects do not fall neatly into fixed-size blocks and have a more irregular layout. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below.

Cache 61

Cache Benchmarking Hardware Java 61

HammerDB

APRIL 27, 2021

This will show the benchmark options dialog. Benchmark Options. and benchmark set with the bm argument. At this stage we have followed the GUI workflow to use the CLI to create the schema and run the TPROC-C workload with a number of Virtual Users. dbset db command. TEST RESULT. Additional CLI Functionality.

Virtualization 73

Virtualization Benchmarking Database Operating System 73

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Was there some other program consuming CPU, like a misbehaving Ubuntu service that wasn't in CentOS? Microbenchmark os::javaTimeMillis() on both systems. As (C) looked like a kernel rebuild, I started with (D) and (E).

Speed 52

Speed Java AWS Virtualization 52

HammerDB

NOVEMBER 30, 2018

Programming Languages. When you download the source code for HammerDB you can see that the programming language it is written in is called TCL. TCL was designed as a language to be closely tied with C/C++ and at this lower level there is the compiled TCL (tclsh) or TCL/TK (wish) interpreter and supporting libraries.

Architecture 40

Architecture Virtualization Open Source C++ 40

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Was there some other program consuming CPU, like a misbehaving Ubuntu service that wasn't in CentOS? Microbenchmark os::javaTimeMillis() on both systems. As (C) looked like a kernel rebuild, I started with (D) and (E). ## 6.

Speed 40

Speed Java AWS Virtualization 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. When dealing with a closed box like Microsoft’s NTFS file system it’s trickier to know if things could be running faster than they are. I then worked with the tool’s author to get a fix.

Monitoring 43

Monitoring C++ Code Processing 43

Highly Scalable

MARCH 10, 2015

Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. A segment that consistently responds to a certain marketing program is actionable and solid. Applications.

Retail 152

Retail C++ Analytics Metrics 152

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Java used to power core file system code. What is the name of your system and where can we find out more about it?

Architecture 52

Architecture Cache Azure Storage 52

SQL Server According to Bob

JANUARY 11, 2020

​​ Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation.

Servers 40

Servers Cache Database Media 40

John McCalpin

JANUARY 22, 2018

The double-precision matrix multiplication routine “DGEMM” is typically the computational kernel that achieves the highest fraction of peak performance on high performance computing systems. After this, the micro-ops will wait in the Reorder Buffer until they can be retired in program order. An illustrative example: .

Latency 40

Latency Hardware Code Testing 40