Benchmark Factory for Databases Best Practices

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1 Benchmark Factory for Databases Best Practices Written by Kevin Dalton Mgr, Software Development Quest Software, Inc. Technical Brief

2 2009 Quest Software, Inc. ALL RIGHTS RESERVED. This document contains proprietary information, protected by copyright. No part of this document may be reproduced or transmitted for any purpose other than the reader's personal use without the written permission of Quest Software, Inc. WARRANTY The information contained in this document is subject to change without notice. Quest Software makes no warranty of any kind with respect to this information. QUEST SOFTWARE SPECIFICALLY DISCLAIMS THE IMPLIED WARRANTY OF THE MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. Quest Software shall not be liable for any direct, indirect, incidental, consequential, or other damage alleged in connection with the furnishing or use of this information. TRADEMARKS All trademarks and registered trademarks used in this guide are property of their respective owners. World Headquarters: 5 Polaris Way Aliso Viejo, CA info@quest.com Please refer to our Web site ( for regional and international office information. Updated October 2009 TBD-BenchmarkFactory4DB-US-AG

3 CONTENTS INTRODUCTION...1 WHICH TEST SHOULD I USE?...2 TESTING WITH WORKLOAD REPLAY... 2 Replaying Workload from an Oracle Trace File... 3 Replaying Workload from a SQL Server Trace Table... 4 Workload Replay for What if Scenarios... 5 Workload Replay Results... 5 TESTING WITH SYNTHETIC WORKLOADS... 6 Choosing a Synthetic Workload... 6 Creating a Synthetic Workload... 7 Running the Test... 9 Reviewing Synthetic Workload Results SQL SCALABILITY TESTING Running the Scalability Test Viewing Scalability Test Results CONCLUSION...14 ABOUT THE AUTHOR...15 ABOUT QUEST SOFTWARE, INC CONTACTING QUEST SOFTWARE CONTACTING QUEST SUPPORT i

4 Technical Brief INTRODUCTION During these times of decreasing IT budgets, it s more important than ever to get the best performance from your database environment. This means evaluating the performance of existing hardware as well as ensuring that money and resources aren t wasted by under-estimating or over-estimating hardware requirements. Additionally, it s critical to validate that hardware and software upgrades and server consolidations don t have a negative impact on application and database performance. Benchmark Factory for Databases can help you accomplish these tasks quickly and easily. Benchmark Factory is a performance testing tool that enables you to test databases against simulated user loads in a non-production environment. It also tests applications for scalability and evaluates new hardware and software through industry standard benchmark testing. Knowing where to start with Benchmark Factory is the key to getting the most from this solution. This technical brief offers best practices to help you determine which tests you should perform based on your goals, and guides you through the steps of testing with Benchmark Factory. 1

5 Benchmark Factory for Databases Best Practices WHICH TEST SHOULD I USE? Before you begin testing, it s important to determine what you are trying to accomplish and inventory the factors that will affect the test scenario. For example, if you need to test server performance, you should consider the following: Do you have an existing application that you need to use to validate server performance? Are you attempting to see the impact that software upgrades and patches or server consolidations will have on performance? Do you need to make sure that your existing application will support more users on the system and still maintain your Service Level Agreements (SLAs)? Once you ve determined the type of testing you want to perform based on your goals, Benchmark Factory gives you multiple options for conducting those tests. The rest of this paper explains how to perform your tests with Benchmark Factory and accomplish your testing goals with confidence. Testing with Workload Replay Workload replay allows you to replay an existing application workload. This can be done to validate software and hardware upgrades, server consolidation and workload scalability. To perform a workload replay test, you need to: 1. Back up the database 2. Capture one or more traces 3. Create a workload from the captured traces 4. Restore your database to ensure that data at the start of the playback is the same as it was when the trace was recorded, thereby avoiding issues with data integrity 5. Perform the workload playback The following sections detail how to use Benchmark Factory to perform a workload replay for Oracle and SQL Server. 2

6 Technical Brief Replaying Workload from an Oracle Trace File To perform an Oracle workload replay, first import the captured trace files into Benchmark Factory. To do this, select Replay load from an Oracle Trace file in the new Load Scenario Wizard, as shown in Figure 1. Then follow the steps in the wizard to create a replay test. Figure 1. Using Load Scenario Wizard to replay an Oracle workload Depending on the size of your trace files (based on the number of imported statements), the replay test may use meta files to replay the captured user scenarios. Otherwise the transactions will be displayed in Benchmark Factory, as shown below: Figure 2. Oracle workload transactions 3

7 Benchmark Factory for Databases Best Practices Replaying Workload from a SQL Server Trace Table To perform a workload replay test for a SQL Server profiler trace table, select Replay load from SQL Server trace table from Benchmark Factory s Load Scenario Wizard: Figure 3. Using Load Scenario Wizard to replay a SQL Server workload Then follow the simple steps of the wizard to create the desired replay workload. As with the Oracle scenario, the transactions displayed depend on the number of statements in the trace table, as shown below: Figure 4. SQL Server workload transactions 4

8 Technical Brief Workload Replay for What if Scenarios One of the benefits of conducting workload replay tests is to determine whether existing applications can scale to increased user numbers without falling below acceptable performance levels. With workload replay, you can simulate the impact of increased user load with actual transactions from your production environment. You can perform scalability tests for what if scenarios using the data you have imported into Benchmark Factory. Simply change the number of users, as shown below: Figure 5. Changing the number of users for scalability tests To more realistically simulate real-world users, some editing of the SQL/Bind parameter values will be required. You need to ensure that the simulated users are not executing the same queries and performing the same inserts as those in the original user session you imported. You should also modify the latency (delays between SQL executions) so that the users are not submitting SQL at the exact same time. Workload Replay Results Regardless of the type of testing that is being performed, view the user scenarios and compare the execution times for a good indication of how the workload replay will execute. Figure 6. Workload replay results 5

9 Benchmark Factory for Databases Best Practices Using Benchmark Factory, you can also pinpoint SQL that needs to be optimized for better performance by seeing how each transaction performed in the user scenario, as shown below: Figure 7. Identifying SQL for tuning Testing with Synthetic Workloads Choosing a Synthetic Workload For the times when you don t have an existing application to model, Benchmark Factory supports the use of industry standard benchmarks for performance testing. Begin by deciding which type of workload you need to simulate. Do you need an online transaction processing (OLTP) workload, or possibly more of a DSS or data warehouse workload? The following table describes the industry standard benchmarks provided by Benchmark Factory: BENCHMARK DESCRIPTION TPC-E TPC-C TPC-H Scalable Hardware TPC-B TPC-D TPC-E is a new OLTP workload. The TPC-E benchmark simulates the OLTP workload of a brokerage firm. The focus of the benchmark is the central database that executes transactions related to the firm s customer accounts. The database schema, data population, transactions and implementation rules have been designed to be broadly representative of modern OLTP systems. The TPC-C models an online order processing application. The transactions in this benchmark have large latency values to simulate real-world users; therefore the transaction rate will be very low (on the order of 0.04 TPS per virtual user). TPC-H is a data warehouse benchmark made up of 22 read-only queries. The dataset size and I/O rates result in long-running queries, so this test is typically run as a single-user test. This is a good generic benchmark that focuses on particular hardware subsystems such as CPU and I/O. TPC-B is a benchmark with significant disk I/O as well as moderate transaction times. TPC-D is another data warehouse benchmark that was replaced by TPC-H (which has more transaction) and is therefore obsolete. TPC-D is provided for backward support. 6

10 Technical Brief BENCHMARK DESCRIPTION AS3AP This is the ANSI SQL Standard Scalable and Portable Benchmark, a very generic benchmark made up of a large variety of queries. This benchmark is best used when you want to build your own workload from the supplied queries. Creating a Synthetic Workload Once you ve determined the type of synthetic workload you d like to use, you can use Benchmark Factory s Load Scenario Wizard to create the workload. Begin by selecting Industry standard benchmarks (TPC-C, TPC-H ), as shown below: Figure 8. Choosing a load scenario 7

11 Benchmark Factory for Databases Best Practices Next, select the desired scale factor, as shown in Figure 9: Figure 9. Selecting the benchmark scale Typically the scale factor is just the dataset size of the standard benchmark, but for a few of the benchmarks the scale factor means more than this. For example, the TPC-C scale factor should not surpass the 10:1 ratio of virtual users to the scale factor. For the Scalable Hardware benchmark, the scale factor also represents the number of virtual users which will return data for the queries. For example, if you have the scale factor set to 23, you will receive query data on virtual users 1 through 23, but not for any virtual users greater than 24. Note that the time required for Benchmark Factory to create and load the objects needed to execute the benchmark depends on the scale factor you choose and your database disk system setup. Make sure to allow enough time in your testing timeframe for benchmark object creation and initialization. 8

12 Technical Brief Running the Test When the wizard is finished creating the workload, Benchmark Factory will then generate jobs that contain the test, as well as steps to create all objects (tables, stored procedures, indexes, etc.) required to execute the test, as shown below: Figure 10. Jobs created by the wizard A recommended best practice when performing any standard benchmark test that might change the dataset is to reload data between runs. To do this in Benchmark Factory, select Create Object and check the Always delete objects before create checkbox, as shown below: Figure 11. Reloading data between test runs 9

13 Benchmark Factory for Databases Best Practices Reviewing Synthetic Workload Results Server performance based on industry standard benchmarks can be seen as transactions per second (TPS), as illustrated in Figure 12: Figure 12. Server performance (transactions per second) But since TPS is affected by the latency associated with the workload, response time is often a better metric for determining server performance, as shown in Figure 13: Figure 13. Server performance (response time) 10

14 Technical Brief SQL Scalability Testing SQL scalability testing allows you to see how a particular SQL statement will scale with increases in user load. This is highly recommended, especially if you are a developer: knowing how your SQL will perform under increased user load will save you headaches later on when your code goes into production. Selecting Whether to Test SQL or Stored Procedures Benchmark Factory enables you to test SQL and stored procedures on Oracle or SQL Server databases for scalability. Using the Load Scenario Wizard, you can paste in the SQL you d like to test by selecting Test SQL for Scalability. If you want to test stored procedures, select Test Stored Procedures for Scalability: Figure 13. Choosing to test SQL or stored procedures 11

15 Benchmark Factory for Databases Best Practices Running the Scalability Test Whichever option you select, Benchmark Factory will then create a SQL scalability test and execute the statements in the test against user load until complete. A sample SQL scalability test is shown below: Figure 14. Sample SQL scalability test scenario In this example, the first statement will execute for the specified duration at the first user load, and then the second will execute for the duration, and so on. Then the each statement will execute at the next user load until the test is complete. 12

16 Technical Brief Viewing Scalability Test Results After the test has been completed, you can view the results in Benchmark Factory, as illustrated in Figure 15: Figure 15. Scalability test results Running a SQL scalability test with Benchmark Factory will enable you to identify SQL that might be impacting database performance. If you are working with Oracle or Sybase databases, you could then use Quest SQL Optimizer to tune the SQL code for optimal performance. 13

17 Benchmark Factory for Databases Best Practices CONCLUSION Whether you are a DBA, a developer or a performance tester, there are many reasons to ensure that your database environment is meeting your performance standards. Testing for performance and scalability, both for planned and unplanned changes to your database environment, ensures that performance SLAs will be met and that end users will not be affected by changes such as patches, migrations and the implementation of new hardware or software. Benchmark Factory for Databases supports many types of testing to meet your needs, including workload replay, industry standard benchmarks and SQL scalability testing. By using Benchmark Factory and following the best practices outlined in this paper, you can ensure high performance and mitigate the risks of change in your database environment. 14

18 Technical Brief ABOUT THE AUTHOR Kevin Dalton is the manager of Software Development for Quest s Benchmark Factory for Databases. One of the original architects of the product, Kevin has been working on its development for more than 10 years. He has experience with many database technologies, including Oracle, SQL Server, Sybase, MySQL and IBM UDB. Kevin holds a bachelor s degree in electrical engineering and has been involved in software development since

19 Benchmark Factory for Databases Best Practices ABOUT QUEST SOFTWARE, INC. Now more than ever, organizations need to work smart and improve efficiency. Quest Software creates and supports smart systems management products helping our customers solve everyday IT challenges faster and easier. Visit for more information. Contacting Quest Software Phone: Mail: Web site: (United States and Canada) Quest Software, Inc. World Headquarters 5 Polaris Way Aliso Viejo, CA USA Please refer to our Web site for regional and international office information. Contacting Quest Support Quest Support is available to customers who have a trial version of a Quest product or who have purchased a commercial version and have a valid maintenance contract. Quest Support provides around the clock coverage with SupportLink, our web self-service. Visit SupportLink at From SupportLink, you can do the following: Quickly find thousands of solutions (Knowledgebase articles/documents). Download patches and upgrades. Seek help from a Support engineer. Log and update your case, and check its status. View the Global Support Guide for a detailed explanation of support programs, online services, contact information, and policy and procedures. The guide is available at: Support Guide.pdf 16

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