SQL SERVER – Performance Tuning – Part 2 of 2 – Analysis, Detection, Tuning and Optimizing

This second part of Performance Tuning – Part 1 of 2 – Getting Started and Configuration. I suggest you read the first part before continuing on this second part.

Analysis and Detection

If you have noticed that configuration of the data source and profile is a very easy task and if you are familiar with the tool, this can be done in less than 2 minutes. However, while configuration is an important aspect, appropriate analysis of the data is more important since that is what leads us to appropriate results.

Once configuration is over, the screen shows the results of the profiling session. Now the screen will start returning information from various sources in detail. After a few minutes it will display the exact information regarding what is going on under the hood of SQL Server.

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Let us see each of the sections in detail. The left most part will show the SQL statement. The SQL statement section is extremely important, once expanded it will start showing exactly what is going on with respect to the SQL Server load in the system.

Identifying the Most Critical Query

A frequently-asked question by developers is: in real systems there are millions of queries executing in a given time period. If I have to begin tuning queries, where should I begin, and which query should I tune to give me maximum return with respect to the performance? Well, this is the precise question the SQL Statement area attempts to answer. It displays the queries in terms of the percentage of DB Activity. One can easily narrow down the query which is most expensive and focus on tuning the query.

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Identifying Wait Statistics

This is another very popular aspect covered in the tool. If you know me, I am a big believer in SQL Wait Stats. When SQL Server is executing any task, and if for any reason it has to wait for resources to execute the task, this wait is recorded by SQL Server with the reason for the delay. Later on we can analyze these wait stats to understand the reason the task was delayed and maybe we can eliminate the wait for SQL Server. It is not always possible to remove the wait type 100%, but there are a few suggestions that can help. Here is the SQL Server Wait Stats ) series which I have written which explains all the major wait stats in detail.

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Profiling Active Sessions with Resources

Well, personally I found this section the most useful and insightful. The biggest challenge is to identify which resource is bottlenecked in SQL Server. It is quite possible that all the queries are running at their best. There is nothing left to tune with respect to the query, but still the performance is very slow. The reason can be that resources on the system are bottlenecked. The scarcity of resources is creating the performance degradation scenario. In this top horizontal section of the window it clearly maps what time exactly which resource was utilized. The same colors are also used in the SQL Statement, Events and Sessions section which help visually map queries, resources and events.

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I believe once the query profiling is done, keeping resources in mind, the performance tuning task is much easier. Here are the steps a developer should be taking when they are trying to optimize queries using DB Optimizer:

  1. Identify slow query or offending query
  2. Identify the resource bottleneck using active sessions and events
  3. Tune the offending query

It is equally important to tune the offending query as much as it is to identify the offending query. In the next section we will see how DBOptimizer can help optimize the queries in a few clicks.

Tuning and Optimizing

When we identify the offending query our next intention is to optimize the offending query. To tune any query we need to understand all the details surrounding to the query. What impressed me the most about this tool was that it’s instant database-level analysis. Once we select the query to tune we can also see various deep down profiling details for individual queries as well.

First go to SQL statement and click on SQL Text. It will give the exact statement which ran, with all the parameters. The next tabs explain events, sessions and procedures which were associated with SQL Statement.

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Once the profiling details associated with any query is understood the next important task is to tune the query and understand the execution plan. In the SQL Statement query if you right click there are two options visible, 1) Explain Plan and 2) Tune

Explain Plan

You can see that now we are entering into specific details related to the query.

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In this section you can see very clear tabular formatted explanations of the execution plan. There is various information associated with the execution plan. Personally I prefer to see the execution plan in XML format as it explains various details. However, when in a hurry it is not always possible to spend time on XML. There are cases when any organization does not have time and bandwidth to do this.

The Execution Plan section is not only important for understanding queries but it is a great learning tool as well. I personally spend quite a lot of time on the execution plan. I spend time even on good queries as it is important to know what made the query so good. I think the Explain Plan can aid in learning this technique. Pay attention to I/O Cost, CPU Cost, Row size, Rows and Execution count.

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Tuning Execution Plan

I think this is the most interesting part of the DB Optimizer tool. It is called TUNE! I think in one simple word it says what it does and when I saw this for the first time, I just felt like clicking on it. There are cases when a developer or DBA does not want to dig deeper in the scenario, or there are cases when they just want to try alternate scenarios as well. I believe this is a good place to start. Just hit Tune and let DBOptimizer suggest the best plan.

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Though I was intrigued to hit Tune, I was bit wary to click it as I was not sure if the tool would then execute any T-SQL statements or tune script against the database. I am the guy who trusts anybody and everybody, but even then, I always like to at least know what is going to happen when it is about my most critical database. Fortunately, when I clicked on Tune, it showed me an overview screen. Where there were two options provided: 1) Generate Cases and 2) Perform Detail Analysis.

This was a very clean and easy to understand interface. The part I liked was generating cases. Often when I am developing T-SQL I want to try out various options but there is always a deadline to finish the project, and it makes sense to spend a limited amount of the time on any query as Return of Time Invested is very important as well. I think this tool can automate this mundane task and help figure out what the optimal solution is.

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Clicking on the analysis tab also provides various index options. Additionally, it provides the cost for each index so you know which will be most efficient for a specific query.

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If you click on Create Index it also generates the index for you, which you can apply to your database. I think there are many other features which we can discuss here, if I had the time. Additionally, please note that creating an index may or may not be the optimal solution. It is quite possible that a query re-write may solve your problem or even dropping unused indexes is the solution. Anyway, this tool gives lots of suggestions along with their impact, this makes decisions much easier.


I have always believed in the philosophy that there is no replacement for the human brain. No matter the advancements in artificial intelligence, there are places and cases when the human brain makes better decisions than any machine or tool. Though I have found DB Optimizer very well balanced and organized, I will also watch its decisions. It is great tool which so far has proved itself, but just like any other tool, it should be used with human intelligence. Just like Missing Index DMV gives plenty of Indexes to create but the DBA usually selects the most useful index and creates only those which are necessary. In the same way, there will many solutions this tool will suggest along with their impact. It is our responsibility to select the most powerful solution, keeping overall server health in focus.

Top 5 things I like the most

There are quite a few things which I really liked it but I decided to list the top 5 here to keep it sharp and short.

  1. Clear and easy to navigate interface
  2. Index analysis is fairly accurate and very informative
  3. Execution plan layout and arrangement is very well organized
  4. Painless, simple installation
  5. Well documented help and community support

Top 3 things for wish list for next version

Nobody is perfect. After using this tool for a long time, I have a wish list for this product. I am listing the top 3 items from this list.

  1. Further explanation of the wait stats
  2. Do not generate case – currently it generates various cases, there are times when I do not want cases to generate. I think this feature is a bit over-ambitious. Basic users who this tool targets may never need it
  3. Additional reference materials for the execution plans


Overall, DB-Optimizer-XE is indeed a performance tuning flagship product from Embarcadero. As I said earlier, the right tool can make life easier for experts as well remove all the uncertainty from a performance tuning project. I also found this product extremely easy to use, with a very clear user interface and even some fun options (like Tune).  I think anyone who is interested in performance tuning should at least give DB Optimizer a try to see if they like it.

DB-Optimizer-XE has a lot of great features, but it’s not perfect.  Keep in mind that you have to be smarter than the tools you use, so you can’t rely on one program alone to solve all your problems.  However, with that said, I highly recommend this program to anyone who is facing performance tuning now and in the future.

Reference: Pinal Dave (https://blog.sqlauthority.com)

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12 Comments. Leave new

  • In Trial version of DB Optimizer, I am not able to see Explain Plan n Tune options in SQL Statements.

  • Thanks for the article. Do you think the tool does a significanlty better job compared to the built in profiling tool in SQL Server itself?

  • Is Embarcadero paying you for this? If so, that is fine but it should be made public so your readership can make an educated decision about this tool.

  • Nobody cares about 3rd party tools when there are so many in SQL Server already. Useless article

  • Hi There
    Can you please let me know where we are running this tool or we running this tool against the production environment?? If that is the case then would that not be big overhead on the production environment as I have read in many place that do not run the SQL Server profiler(UI) on production environment, instead just run the script for profiling on the production environment and put them in table and use for analyses purpose
    Please update
    Many thanks

  • Pinal,
    Have you ever used Ignite? If so how would you compare Ignite with DB-Optimizer-XE?

    • Both are great tools.

      • Pinal, I have purchased this DB Optimizer tool and it can not even perform basic capabilities such as recognizing table variables and it costed over $1000+ USD. I’m not sure how this tool could be recommended to Sql Server users when it is clearly tailored to Oracle users. It actually flags all instances of table variable use as errors even after configuring the projects to use Sql Server. Adding insult to injury, even after forking over vast sums of cash for their product, tech support drags their feet in responding to obvious issues with their tool.
        I have always enjoyed and learned alot from your Sql Server posts, but this recommendation of the DB Optimizer product considering its limited parser capabilities regarding t-sql is of great concern to say the least. The limited understanding of t-sql by the tool seems highly likely to impact the accuracy of the performance analysis. This blog is about Sql Server and the readers use Sql Server so why recommend a product that is tailored for Oracle databases?

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