SYS-CON MEDIA Authors: Pat Romanski, Gary Arora, Zakia Bouachraoui, Yeshim Deniz, Liz McMillan

Blog Feed Post

Collecting Transaction Per Minute from SQL Server and HammerDB

Collecting Transaction Per Minute from SQL Server and HammerDB

By Greg Schulz

Storage I/O trends

Collecting Transaction Per Minute from SQL Server and HammerDB

When using benchmark or workload generation tools such as HammerDB I needed a way to capture and log performance activity metrics such as transactions per minute. For example using HammerDB to simulate an application making database requests performing various transactions as part of testing an overall system solution including server and storage I/O activity. This post takes a look at the problem or challenge I was looking to address, as well as creating a solution after spending time searching for one (still searching btw).

The Problem, Issue, Challenge, Opportunity and Need

The challenge is to collect application performance such as transactions per minute from a workload using a database. The workload or benchmark tool (in this case HammerDB) is the System Test Initiator (STI) that drives the activity (e.g. database requests) to a System Under Test (SUT). In this example the SUT is a Microsoft SQL Server running on a Windows 2012 R2 server. What I need is to collect and log into a file for later analysis the transaction rate per minute while the STI is generating a particular workload.

Understanding the challenge and designing a strategy

If you have ever used benchmark or workload generation tools such as Dell/Quest Benchmark Factory (part of the Toad tools collection) you might be spoiled with how it can be used to not only generate the workload, as well as collect, process, present and even store the results for database workloads such as TPC simulations. In this situation, Transaction Processing Council (TPC) like workloads need to be run and metrics on performance collected. Lets leave Benchmark Factory for a future discussion and focus instead on a free tool called HammerDB and more specifically how to collection transactions per minute metrics from Microsoft SQL Server. While the focus is SQL Server, you can easily adapt the approach for MySQL among others, not to mention there are tools such as Sysbench, Aerospike among other tools.

The following image (created using my Livescribe Echo digital pen) outlines the problem, as well as sketches out a possible solution design. In the following figure, for my solution I'm going to show how to grab every minute for a given amount of time the count of transactions that have occurred. Later in the post processing (you could also do in the SQL Script) I take the new transaction count (which is cumulative) and subtract the earlier interval which yields the transactions per minute (see examples later in this post).

collect TPM metrics from SQL Server with hammerdb
The problem and challenge, a way to collect Transactions Per Minute (TPM)

Finding a solution

HammerDB displays results via its GUI, and perhaps there is a way or some trick to get it to log results to a file or some other means, however after searching the web, found that it was quicker to come up with solution. That solution was to decide how to collect and report the transactions per minute (or you could do by second or other interval) from Microsoft SQL Server. The solution was to find what performance counters and metrics are available from SQL Server, how to collect those and log them to a file for processing. What this means is a SQL Server script file would need to be created that ran in a loop collecting for a given amount of time at a specified interval. For example once a minute for several hours.

Taking action

The following is a script that I came up with that is far from optimal however it gets the job done and is a starting point for adding more capabilities or optimizations.

In the following example, set loopcount to some number of minutes to collect samples for. Note however that if you are running a workload test for eight (8) hours with a 30 minute ramp-up time, you would want to use a loopcount (e.g. number of minutes to collect for) of 480 + 30 + 10. The extra 10 minutes is to allow for some samples before the ramp and start of workload, as well as to give a pronounced end of test number of samples. Add or subtract however many minutes to collect for as needed, however keep this in mind, better to collect a few extra minutes vs. not have them and wished you did.

-- Note and disclaimer:
-- 
-- Use of this code sample is at your own risk with Server StorageIO and UnlimitedIO LLC
-- assuming no responsibility for its use or consequences. You are free to use this as is
-- for non-commercial scenarios with no warranty implied. However feel free to enhance and
-- share those enhancements with others e.g. pay it forward.
-- 
DECLARE @cntr_value bigint;
DECLARE @loopcount bigint; # how many minutes to take samples for

set @loopcount = 240

SELECT @cntr_value = cntr_value
 FROM sys.dm_os_performance_counters
 WHERE counter_name = 'transactions/sec'
 AND object_name = 'MSSQL$DBIO:Databases'
 AND instance_name = 'tpcc' ; print @cntr_value;
 WAITFOR DELAY '00:00:01'
-- 
-- Start loop to collect TPM every minute
-- 

while @loopcount <> 0
begin
SELECT @cntr_value = cntr_value
 FROM sys.dm_os_performance_counters
 WHERE counter_name = 'transactions/sec'
 AND object_name = 'MSSQL$DBIO:Databases'
 AND instance_name = 'tpcc' ; print @cntr_value;
 WAITFOR DELAY '00:01:00'
 set @loopcount = @loopcount - 1
end
-- 
-- All done with loop, write out the last value
-- 
SELECT @cntr_value = cntr_value
 FROM sys.dm_os_performance_counters
 WHERE counter_name = 'transactions/sec'
 AND object_name = 'MSSQL$DBIO:Databases'
 AND instance_name = 'tpcc' ; print @cntr_value;
-- 
-- End of script
-- 

The above example has loopcount set to 240 for a 200 minute test with a 30 minute ramp and 10 extra minutes of samples. I use the a couple of the minutes to make sure that the system test initiator (STI) such as HammerDB is configured and ready to start executing transactions. You could also put this along with your HammerDB items into a script file for further automation, however I will leave that exercise up to you.

For those of you familiar with SQL and SQL Server you probably already see some things to improve or stylized or simply apply your own preference which is great, go for it. Also note that I'm only selecting a certain variable from the performance counters as there are many others which you can easily discovery with a couple of SQL commands (e.g. select and specify database instance and object name. Also note that the key is accessing the items in sys.dm_os_performance_counters of your SQL Server database instance.

The results

The output from the above is a list of cumulative numbers as shown below which you will need to post process (or add a calculation to the above script). Note that part of running the script is specifying an output file which I show later.

785
785
785
785
37142
1259026
2453479
3635138

Implementing the solution

You can setup the above script to run as part of a larger automation shell or batch script, however for simplicity I'm showing it here using Microsoft SQL Server Studio.

SQL Server script to collect TPM
Microsoft SQL Server Studio with script to collect Transaction Per Minute (TPM)

The following image shows how to specify an output file for the results to be logged to when using Microsoft SQL Studio to run the TPM collection script.

Specify SQL Server tpm output file
Microsoft SQL Server Studio specify output file

With the SQL Server script running to collect results, and HammerDB workload running to generate activity, the following shows Dell Spotlight on Windows (SoW) displaying WIndows Server 2012 R2 operating system level performance including CPU, memory, paging and other activity. Note that this example had about the system test initiator (STI) which is HammerDB and the system under test (SUT) that is Microsoft SQL Server on the same server.

Spotlight on Windows while SQL Server doing tpc
Dell Spotlight on Windows showing Windows Server performance activity

Results and post-processing

As part of post processing simple use your favorite tool or script or what I often do is pull the numbers into Excel spreadsheet, and simply create a new column of numbers that computes and shows the difference between each step (see below). While in Excel then I plot the numbers as needed which can also be done via a shell script and other plotting tools such as R.

In the following example, the results are imported into Excel (your favorite tool or script) where I then add a column (B) that simple computes the difference between the existing and earlier counter. For example in cell B2 = A2-A1, B3 = A3-A2 and so forth for the rest of the numbers in column A. I then plot the numbers in column B to show the transaction rates over time that can then be used for various things.

Hammerdb TPM results from SQL Server processed in Excel
Results processed in Excel and plotted

Note that in the above results that might seem too good to be true they are, these were cached results to show the tools and data collection process as opposed to the real work being done, at least for now...

Where to learn more

Here are some extra links to have a look at:

How to test your HDD, SSD or all flash array (AFA) storage fundamentals
Server and Storage I/O Benchmarking 101 for Smarties
Server and Storage I/O Benchmark Tools: Microsoft Diskspd (Part I)
The SSD Place (collection of flash and SSD resources)
Server and Storage I/O Benchmarking and Performance Resources
I/O, I/O how well do you know about good or bad server and storage I/Os?

What this all means and wrap-up

There are probably many ways to fine tune and optimize the above script, likewise there may even be some existing tool, plug-in, add-on module, or configuration setting that allows HammerDB to log the transaction activity rates to a file vs. simply showing on a screen. However for now, this is a work around that I have found for when needing to collect transaction activity performance data with HammerDB and SQL Server.

Ok, nuff said, for now...

Cheers gs

Greg Schulz - Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2015 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Read the original blog entry...

More Stories By Greg Schulz

Greg Schulz is founder of the Server and StorageIO (StorageIO) Group, an IT industry analyst and consultancy firm. Greg has worked with various server operating systems along with storage and networking software tools, hardware and services. Greg has worked as a programmer, systems administrator, disaster recovery consultant, and storage and capacity planner for various IT organizations. He has worked for various vendors before joining an industry analyst firm and later forming StorageIO.

In addition to his analyst and consulting research duties, Schulz has published over a thousand articles, tips, reports and white papers and is a sought after popular speaker at events around the world. Greg is also author of the books Resilient Storage Network (Elsevier) and The Green and Virtual Data Center (CRC). His blog is at www.storageioblog.com and he can also be found on twitter @storageio.

Latest Stories
Every organization is facing their own Digital Transformation as they attempt to stay ahead of the competition, or worse, just keep up. Each new opportunity, whether embracing machine learning, IoT, or a cloud migration, seems to bring new development, deployment, and management models. The results are more diverse and federated computing models than any time in our history.
On-premise or off, you have powerful tools available to maximize the value of your infrastructure and you demand more visibility and operational control. Fortunately, data center management tools keep a vigil on memory contestation, power, thermal consumption, server health, and utilization, allowing better control no matter your cloud's shape. In this session, learn how Intel software tools enable real-time monitoring and precise management to lower operational costs and optimize infrastructure...
"Calligo is a cloud service provider with data privacy at the heart of what we do. We are a typical Infrastructure as a Service cloud provider but it's been designed around data privacy," explained Julian Box, CEO and co-founder of Calligo, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web. With staff in 10 timezones, Isomorphic provides a global network of services related to our technology, with offerings ranging from turnkey application development to SLA-backed enterprise support. Leadin...
While a hybrid cloud can ease that transition, designing and deploy that hybrid cloud still offers challenges for organizations concerned about lack of available cloud skillsets within their organization. Managed service providers offer a unique opportunity to fill those gaps and get organizations of all sizes on a hybrid cloud that meets their comfort level, while delivering enhanced benefits for cost, efficiency, agility, mobility, and elasticity.
DevOps has long focused on reinventing the SDLC (e.g. with CI/CD, ARA, pipeline automation etc.), while reinvention of IT Ops has lagged. However, new approaches like Site Reliability Engineering, Observability, Containerization, Operations Analytics, and ML/AI are driving a resurgence of IT Ops. In this session our expert panel will focus on how these new ideas are [putting the Ops back in DevOps orbringing modern IT Ops to DevOps].
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understa...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Concerns about security, downtime and latency, budgets, and general unfamiliarity with cloud technologies continue to create hesitation for many organizations that truly need to be developing a cloud strategy. Hybrid cloud solutions are helping to elevate those concerns by enabling the combination or orchestration of two or more platforms, including on-premise infrastructure, private clouds and/or third-party, public cloud services. This gives organizations more comfort to begin their digital tr...
Most organizations are awash today in data and IT systems, yet they're still struggling mightily to use these invaluable assets to meet the rising demand for new digital solutions and customer experiences that drive innovation and growth. What's lacking are potent and effective ways to rapidly combine together on-premises IT and the numerous commercial clouds that the average organization has in place today into effective new business solutions.
Keeping an application running at scale can be a daunting task. When do you need to add more capacity? Larger databases? Additional servers? These questions get harder as the complexity of your application grows. Microservice based architectures and cloud-based dynamic infrastructures are technologies that help you keep your application running with high availability, even during times of extreme scaling. But real cloud success, at scale, requires much more than a basic lift-and-shift migrati...
David Friend is the co-founder and CEO of Wasabi, the hot cloud storage company that delivers fast, low-cost, and reliable cloud storage. Prior to Wasabi, David co-founded Carbonite, one of the world's leading cloud backup companies. A successful tech entrepreneur for more than 30 years, David got his start at ARP Instruments, a manufacturer of synthesizers for rock bands, where he worked with leading musicians of the day like Stevie Wonder, Pete Townsend of The Who, and Led Zeppelin. David has ...
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understa...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Addteq is a leader in providing business solutions to Enterprise clients. Addteq has been in the business for more than 10 years. Through the use of DevOps automation, Addteq strives on creating innovative solutions to solve business processes. Clients depend on Addteq to modernize the software delivery process by providing Atlassian solutions, create custom add-ons, conduct training, offer hosting, perform DevOps services, and provide overall support services.