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

Percona

MARCH 17, 2023

2022 was an exciting year for Percona Monitoring and Management (PMM). Planning for resources of a PMM Server host instance can be tricky because the numbers can change depending on the DB instances being monitored by PMM. Virtual Memory utilization was averaging 48 GB of RAM. We have tested PMM version 2.33.0

Monitoring 117

Monitoring Scalability Database Cache 117

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 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

Tuning 145

Tuning Cache Servers Benchmarking 145

Rigor

FEBRUARY 19, 2020

Reading time 8 min There are many different classes of web performance tools, from synthetic monitoring to application performance monitoring ( APM) , to real user monitoring ( RUM ), and more. Is it a physical system or virtual? If virtualized, what is the technology used (VM, Docker, software package)?

Monitoring 59

Monitoring Benchmarking Mobile Testing 59

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

HammerDB

NOVEMBER 23, 2021

this web interface has been enhanced to add command line functionality to the service as well as extending the ability to query the database of configuration, results and timing data to be returned in JSON format, enabling a long-term repository of HammerDB benchmark data for integrating HammerDB into service based cloud environments.

Virtualization 71

Virtualization Benchmarking C++ Database 71

HammerDB

APRIL 27, 2021

This will show the benchmark options dialog. Benchmark Options. and benchmark set with the bm argument. In the example below we have modified the SQL Server, number of warehouses to build and the virtual users to build them. A key aspect is being able to visualise the multithreaded nature of the Virtual Users.

Virtualization 74

Virtualization Benchmarking Database Operating System 74

Percona

JUNE 22, 2023

Typically, the servers are configured in a primary/replica configuration, with one server designated as the primary server that handles all incoming requests and the others designated as replica servers that monitor the primary and take over its workload if it fails. there cannot be high availability.

Availability 132

Availability Database Open Source Hardware 132

HammerDB

MARCH 25, 2023

It will create the number of virtual users to the number of CPUs on the system where HammerDB is running. using existing tables (188,416 KB) SETTING CONFIGURATION Database set to MariaDB Benchmark set to TPC-C for MariaDB. scripts/tcl/maria/tprocc/maria_tprocc.sh TMP/hammer.DB TMP/hammer.DB TMP/hammer.DB TMP/hammer.DB TMP/hammer.DB

C++ 84

C++ Virtualization Benchmarking Database 84

HammerDB

JULY 8, 2024

This is an important consideration that is often missed, so although it seems obvious, it is worth reiterating that benchmarking applications are not typically designed to be disconnected and the database restarted whilst the workload is running. When you create the virtual users, you can see the iterations value in the central panel.

Database 52

Database Benchmarking Virtualization C++ 52

HammerDB

OCTOBER 24, 2023

BCP based load Now when we select the “Use BCP Option” We can see that we are now using an insert bulk command (although the item table being fixed at 100K rows and loaded by the monitor virtual user continues to use regular inserts). We thank @krithikasatish and @JoshInnis for this excellent contribution to HammerDB.

Servers 63

Servers C++ Benchmarking Virtualization 63

HammerDB

NOVEMBER 22, 2021

This enables the user to compare and contrast performance across different benchmark scenarios. By clicking on the Metrics Display option, HammerDB will connect to the target database and start monitoring the performance, note that if the pg_active_session_history table is empty the viewer will report an error and refuse to start.

Metrics 63

Metrics Benchmarking C++ Database 63

HammerDB

DECEMBER 14, 2022

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). Vuser 1:Monitor Thread. Vuser 2:Waiting for Monitor Thread. vuset vu vcpu.

C++ 63

C++ Virtualization Database Benchmarking 63

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 58

Virtualization C++ Database Code 58

HammerDB

JULY 6, 2024

scripts/tcl/maria/tprocc/maria_tprocc_run.tcl Comparing the results When running the 80 thread sysbench-tpcc workload, monitoring with HammerDB we can see the following output. Summary Of course the more benchmarks and workloads you run against a system, the more insights you can get. Copy Code Copied Use a different Browser./tpcc.lua

C++ 52

C++ Hardware Benchmarking Virtualization 52

Brendan Gregg

MARCH 16, 2024

It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based. Enterprise environments are monitored, continuously profiled, and analyzed on a regular basis, so this capability will indeed be put to use.

Java 137

Java Cache Google Hardware 137

HammerDB

DECEMBER 1, 2022

For querying a build, the status command will show whether all Virtual Users started and finished successfully, allowing a quick way to check the status of a build. . By default the summary timings are reported, however by adding the vuid you can also drill down into the timings for a specific virtual user. Use a different Browser.

Virtualization 58

Virtualization C++ Storage Database 58

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

HammerDB

MAY 10, 2021

When taking this approach you would not focus on the test result but instead monitor the databases ability to cope with the variation in demand and transaction response times. Note that it is expected for Virtual User 1 of the replicas to end immediately with the message. Step Workloads. To implement Step Workloads, HammerDB v4.1

Virtualization 52

Virtualization C++ Database Monitoring 52

HammerDB

JULY 8, 2019

/restchk.tcl TEST DIRECT PRINT COMMANDS -- Printing output for db and converting JSON to text JSON format { "ora": "Oracle", "mssqls": "MSSQLServer", "db2": "Db2", "mysql": "MySQL", "pg": "PostgreSQL", "redis": "Redis" } TEXT format ora Oracle mssqls MSSQLServer db2 Db2 mysql MySQL pg PostgreSQL redis Redis Printing output for bm and converting JSON (..)

Virtualization 40

Virtualization Benchmarking C++ Database 40

HammerDB

NOVEMBER 30, 2022

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. Running this script returns output as follows using the Python loop to drive HammerDB. Vuser 2:FINISHED SUCCESS Vuser 1:Calculating timings.

Virtualization 45

Virtualization C++ Lambda Monitoring 45

Brendan Gregg

FEBRUARY 9, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. To understand the overhead further I'll need to use instruction-level profiling, such as by using perf annotate, and PMC (Performance Monitoring Counter) analysis of the CPU cycles (more on this later). ## 2.

Performance 72

Performance Benchmarking Cache Tuning 72

HammerDB

DECEMBER 9, 2020

<benchmark> <first_result>TPM</first_result> </benchmark> So why not just print NOPM and report a single metric for TPROC-C as per the official TPC-C workloads? Similarly for SQL Server TPM records Batches/sec which is the same value seen in the Activity Monitor in SSMS. Activity Monitor.

C++ 52

C++ Benchmarking Metrics Database 52

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. support for logging, monitoring, and observability. In fact, if we go by current trends containerised microservices running on Kubernetes are the future.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Failure detection: Monitoring mechanisms detect failures or issues that could lead to failures. there cannot be high availability.

Availability 98

Availability Hardware Open Source Database 98

Apica

MAY 10, 2019

The spread of where consumers want to consume content, at home, at the office, at the gym, on a plane, at any time where there is connectivity, puts significant pressure on the network and performance monitoring teams for streaming brands. Load and stress-testing benchmark goals for the backend technological components.

Testing 40

Testing Performance Social Media Wireless 40

Percona

DECEMBER 20, 2018

We’ll note how some of the Linux parameter settings used OS tuning may vary according to different system types: physical, virtual or cloud. In this benchmark, I discovered some interesting discrepancies in performance between AMD and Intel CPUs when running under systemd. A Look at MyRocks Performance.

Database 51

Database Tuning Performance AWS 51

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

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. In addition, typefaces can be more or less legible on different screens and monitor resolutions because they can be rendered with varying degrees of quality and sharpness.

Performance 123

Performance Design Best Practices Testing 123

Percona

SEPTEMBER 1, 2023

Monitoring and Profiling : Continuously monitor trigger performance to identify and address slow-performing triggers promptly. Testing and Benchmarking : Thoroughly test triggers in a staging environment to evaluate their impact on performance. Benchmark different trigger implementations to identify the most efficient option.

Cache 75

Cache Database Games Healthcare 75

Alex Russell

MAY 9, 2022

Teams looking to grow past Level 1 develop (or uncover they already had) Real User Monitoring (" RUM data") infrastructure in previous cycles. This also requires an investment in infrastructure and continuous monitoring. Browsers provide a lot of data about site performance. Nothing is more depressing than managerial cosplay.

Performance 99

Performance Latency Metrics Engineering 99

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. monitoring. 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

Brendan Gregg

FEBRUARY 8, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. To understand the overhead further I'll need to use instruction-level profiling, such as by using perf annotate, and PMC (Performance Monitoring Counter) analysis of the CPU cycles (more on this later). ## 2.

Performance 40

Performance Benchmarking Cache Tuning 40

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

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145

SQL Server According to Bob

JANUARY 11, 2020

​​ Latch enforcement ​​ changes the ​​ virtual ​​ memory protection ​​ ( VirtualProtect ) ​​ as the ​​ database ​​ pages are transitioned between the clean and dirty states.

Servers 40

Servers Cache Database Media 40

The Netflix TechBlog

OCTOBER 14, 2024

To efficiently utilize our compute resources, Titus employs a CPU oversubscription feature , meaning the combined virtual CPUs allocated to containers exceed the number of available physical CPUs on a Titus agent. You will notice a do-while loop that is linear to the virtual memory area.

Latency 214

Latency Virtualization Traffic Processing 214