HammerDB

NOVEMBER 30, 2022

Vuser 1:Timing test period of 1 in minutes Vuser 2:RUNNING Vuser 2:Initializing xtprof time profiler Vuser 2:Processing 10000000 transactions with output suppressed. Vuser 1:1 Active Virtual Users configured Vuser 1:TEST RESULT : System achieved 39945 NOPM from 92893 SQL Server TPM Vuser 1:Gathering timing data from Active Virtual Users.

Virtualization 44

Virtualization C++ Lambda Monitoring 44

Percona

DECEMBER 23, 2022

The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. Long term stability.

Storage 55

Storage Cache C++ Virtualization 55

HammerDB

DECEMBER 5, 2020

The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. more transactions than system B in the fully audited benchmark then the HammerDB result was also 1.5X I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

The Morning Paper

MAY 27, 2019

The process model, user-kernel interactions, dynamic linking, and memory management concerns are all in scope, and the protection spans the OS/DBMS boundary. And this all has to work for whole-system executions, not just the C-language portion of user processes. code is not given access to excessive capabilities. Evaluation.

C++ 61

C++ Hardware Virtualization Benchmarking 61

HammerDB

JULY 8, 2019

Additional json, rest and huddle packges have been added with which to format and process input and output. This allows HammerDB to be driven with a REST type client using a HTTP interface to call and retrieve output from the CLI commands. see the documentation for setting the port). . $.

Benchmarking 40

Benchmarking Virtualization C++ Database 40

HammerDB

MAY 10, 2021

The replicas are defined in steps.xml in the config directory to determine how many virtual users each replica will configure, how soon after the previous instance has started the replica should start and how long it will run for. <steps> Note that it is expected for Virtual User 1 of the replicas to end immediately with the message.

Virtualization 52

Virtualization C++ Database Monitoring 52

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

Percona

APRIL 12, 2023

Though still not “profitable” by many benchmarks, it’s a lot closer to being so, perhaps in a big way.) and partners) and in the process, stifling the upstarts, the truly open source little folks dreaming big. (Some might say this marked the beginning of MongoDB’s “cloud push” escalation.)

Open Source 79

Open Source Programming Database Servers 79

The Morning Paper

NOVEMBER 8, 2020

Virtual consensus in Delos , Balakrishnan et al. If you think of this a bit like mapping memory addresses to data in memory, then another parallel comes to mind: the virtual address space. We propose the novel abstraction of a virtual shared log (or VirtualLog). Facebook, Inc. ), OSDI’2020. What does the VirtualLog give us?

Virtualization 126

Virtualization Latency Storage Systems 126

HammerDB

JULY 5, 2022

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

Benchmarking 98

Benchmarking Database C++ Virtualization 98

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. Kubernetes has a massive community support and momentum behind it.

Big Data 63

Big Data Storage Benchmarking Hardware 63

SQL Performance

DECEMBER 17, 2019

One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload. Microsoft currently has eight main types of virtual machines designed for different types of workloads. Tim Radney has a great article about this process (for storage).

Azure 72

Azure Virtualization Servers Storage 72

Scalegrid

JULY 29, 2020

It uses only one process which makes it very lightweight. If we require N parallel connections, this forks N child processes. By default, there are 32 child processes that are forked. Pgpool-II defines one process per child process. We cannot control which child process a client connects to. Not supported.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

Dynatrace

SEPTEMBER 23, 2021

Unfortunately, container security is much more difficult to achieve than security for more traditional compute platforms, such as virtual machines or bare metal hosts. Container security is the practice of applying security tools, processes, and policies to protect container-based workloads. What is container security?

Open Source 255

Open Source Benchmarking Best Practices Network 255

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Smashing Magazine

JUNE 3, 2022

And today, we still have type in a digital context, but it travels through cables, wirelessly on smartphones, and in virtual reality glasses in 3D. Later on, in the 1980s, type started to be used in a digital context in computers. There are many different classifications of typefaces.

Performance 110

Performance Design Best Practices Testing 110

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.

Programming 67

Programming Benchmarking Virtualization C++ 67

HammerDB

JULY 6, 2023

Copy Code Copied Use a different Browser Vuser 1:80 Active Virtual Users configured Vuser 1:TEST RESULT : System achieved 701702 NOPM from 1631827 MariaDB TPM Fixing throughput with keying and thinking time The key concept to understanding fixed throughput is that of keying and thinking time.

Virtualization 57

Virtualization C++ Database Code 57

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. What about short-lived processes, like a service restarting in a loop? Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). This was much worse many years ago on Xen virtual machine guests.

Speed 126

Speed Java AWS Virtualization 126

HammerDB

DECEMBER 14, 2022

MariaDB) starting as process 4483. and the test will run with the number of Virtual Users equivalent to the number of CPUs. Benchmark set to TPC-C for MariaDB. Building 20 Warehouses with 5 Virtual Users, 4 active + 1 Monitor VU(dict value maria_num_vu is set to 4). ALL VIRTUAL USERS COMPLETE. vuset vu vcpu.

C++ 62

C++ Virtualization Database Benchmarking 62

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . The first example shows a data load, the second a TPC-C based workload with 5 virtual users and the 2nd example with 10 virtual users. A good example of how tuning is an iterative process.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Percona

APRIL 7, 2023

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 We have long been surfing the virtualization wave (to keep it broad). Or, if we are hitting a limit in writes , we need to look at other areas of MySQL to tune.

Tuning 133

Tuning Cache Servers Benchmarking 133

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. What about short-lived processes, like a service restarting in a loop? Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). This was much worse many years ago on Xen virtual machine guests.

Speed 52

Speed Java AWS Virtualization 52

Dynatrace

APRIL 8, 2021

While these niche products were mostly building upon AWS CloudWatch and Xray, their agents were rather limited as running an agent in process with a Lambda function comes with some challenges. These served as our benchmark when creating our Lambda monitoring extension. See our previous blog post for more information on that.).

Lambda 226

Lambda AWS Serverless Monitoring 226

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. What about short-lived processes, like a service restarting in a loop? Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). This was much worse many years ago on Xen virtual machine guests.

Speed 40

Speed Java AWS Virtualization 40

HammerDB

DECEMBER 9, 2020

The TPROC-C workload is derived from the TPC-C workload , the primary metric for TPC-C is called tpmC, the number of new order transactions processed per minute. the stored procedures have been updated to use bulk processing features. Although a similar metric to tpmC it is not considered to be directly comparable. and earlier. <benchmark>

C++ 52

C++ Benchmarking Metrics Database 52

HammerDB

NOVEMBER 30, 2018

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. As virtual users are started the database specific packages and workload specific modules are loaded into the virtual user threads.

Architecture 40

Architecture Virtualization Open Source C++ 40

Dynatrace

APRIL 8, 2021

While these niche products were mostly building upon AWS CloudWatch and Xray, their agents were rather limited as running an agent in process with a Lambda function comes with some challenges. These served as our benchmark when creating our Lambda monitoring extension. See our previous blog post for more information on that.).

Lambda 188

Lambda AWS Serverless Monitoring 188

Dynatrace

FEBRUARY 25, 2021

The virtual CPU is turned off. In theory, an existing code module or agent can be used to monitor a Lambda function if there’s a way to load it into the running Lambda process. When we set out to create the new Lambda extension, we benchmarked other dedicated Lambda monitoring solutions that were already on the market.

Lambda 224

Lambda AWS Monitoring Serverless 224

Rigor

FEBRUARY 19, 2020

This is a great catch-all that allows you to connect the tool to the rest of your process, regardless of how the tools that make up the process evolve. Is it a physical system or virtual? If virtualized, what is the technology used (VM, Docker, software package)? Competitive & Industry Benchmarking.

Monitoring 59

Monitoring Benchmarking Mobile Traffic 59

Percona

JUNE 22, 2023

High availability works through a combination of the following: No single point of failure (SPOF) : You must eliminate any single point of failure in the database environment, including physical or virtual hardware the database system relies on that would cause it to fail. there cannot be high availability.

Availability 104

Availability Database Open Source Hardware 104

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Helps media apps on the web save battery when doing video processing.

Media 145

Media Games Education Engineering 145

Percona

SEPTEMBER 1, 2023

Completion of Trigger : Once the trigger’s code is executed for one row, it proceeds to the next affected row (if any) and repeats the process. Scope of Data : Row-level triggers work with individual row data, making them suitable for tasks that require row-level processing. Don’t let hidden database costs haunt you.

Cache 59

Cache Database Games Healthcare 59

HammerDB

OCTOBER 12, 2018

For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench. Error in Virtual User 1: mysqlexec/db server: Table 'mysql.proc' doesn't exist. Vuser 1:56 Active Virtual Users configured.

Best Practices 40

Best Practices Scalability Performance C++ 40