The ever changing database management challenges
With the rapid changes of modern databases, database administrators and developers have to learn and manage new features provided by databases with short period of time. There is always a time gap between fully mastering new features and actually implementing the new features in production.
Easy-to-use AI enabled tools for SQL & database performance tuning
Tosska Technologies is a company that focuses in providing solutions for database and SQL related performance optimization and improvements. Our mission is to help users to smooth out the hurdle by our new technologies. Indeed Tosska is one of the very few companies in the world that focus in using artificial intelligence technology to solve various database performance problems. It is our goal to help our customers to reduce their hardware investment; increase their database applications service level and free up their human resources for more strategic activities with our innovative technologies.
The Tosska SQL Tuning Expert Products Family
Not just another SQL Tuning tool !
Most SQL tuning products in the market aim to provide better query plan visualization, better statistics analysis, high cost query plan steps indication or even rule-of-thumb syntax recommendations. But very few of them can provide satisfactory tuning results directly. They require users to have in-depth SQL tuning knowledge to manually intervene the SQL tuning process amid their busy daily duties. In fact users are looking for one-button-solution tool that have all the required SQL tuning knowledge built-in and can tune a SQL statement automatically without the need of users’ intervention. If you are looking for such tools, these are the products you must look into !
World’s Leading A.I. SQL Rewrite technology for SQL
Manually rewriting SQL syntax to tune a SQL statement is commonly adopted by experienced developers and DBAs, but the effort and cost to rewrite a SQL statement is quite expensive. Tosska A.I. SQL Rewrite Engine not only saves the developer’s time to rewrite a problematic SQL statement to make it faster, but it also explores the potential best SQL syntax that even an experienced developer cannot discover. Tosska A.I. rewritten SQL syntax can work with our Hints-injection algorithm to further explore more potential query plans that even most experienced developers cannot achieve.
Tosska SQL Tuning Expert (TSES™) for SQL Server®
There are not many SQL tuning tools for SQL Server database that can provide automated direct SQL tuning results. Tosska SQL Tuning Expert (TSES™) for SQL Server® is a a one-button-solution tool that can tune SQL Server SQL statements automatically without the need of your intervention. You can just sit back, relax, and wait for the best SQL alternative to come up on your screen.
Probably the World’s First SQL Server A.I. SQL Tuning Tool for SET ROWCOUNT N
Many people do not know that the Set Rowcount N setting can affect the SQL’s query plan and some SQLs’ performance may be degraded and resulted in an even worse query plan. Tosska SQL Tuning Expert for SQL Server is probably the first tool that can solve this problem automatically with our A.I. engine.
Powerful Cold Cache SQL Tuning for Infrequent Executed SQL Statements
Cold cache will significantly affect the performance of a SQL statement. A good performance SQL for hot cache may not be performing well in a cold cache environment. Tosska SQL Tuning Expert for SQL Server provides a handy function for users to benchmark SQL alternatives in both environments without complicated manual operations.
Tosska SQL Tuning Expert (TSEM™) for MySQL®
As a member of the TSE product family, TSEM™ provides all the automatic A.I. machine tuning capability of TSE but tailors for the MySQL database. It is a one-button-solution tool that can tune MySQL SQL statement automatically without the need of your intervention. You no longer need to rewrite or try every possible Hints combination manually for a problematic SQL statement to explore potential better performance execution plans, since all those hard tasks are released by our embedded AI engine.
Probably the World’s ONLY A.I.-based SQL Rewrite solution for MySQL database
It not only saves developer’s time to rewrite a problematic SQL statement to make it faster, but also explores the potential best SQL syntax that even an experienced developer cannot discover. Tosska A.I. rewritten SQL syntax can also work with our Hints-injection algorithm to further explore more potential query plans that even most experienced developers cannot achieve.
A 100 times faster SQL rewrite is generated on the right hand side.
Tosska proprietary Tree Plan format for your easy understanding
Tosska SQL Tuning Expert (TSEM™) for MySQL® has a market leading explain plan function for MySQL. The proprietary Tree Plan format provides rich statistics information like what is provided by Tubular Explain from MySQL, as well as a hierarchical structure like what is displaying in visual plan. The beauty is that all such information can be displayed in a small window for easy reading.
Tosska SQL Tuning Expert for Oracle® (TSE™ and TSE Pro™) version 4
Targeted for the Oracle database, Tosska SQL Tuning Expert (TSE™) for Oracle® and Tosska SQL Tuning Expert Pro (TSE Pro™) for Oracle® are complete SQL tuning solutions that provide SQL syntax rewrite, Query Hints injection and index recommendation to maximize the performance of a SQL without compromise in any specific feature’s limitation.
They give users the ultimate SQL performance solution by just point and click without the need of user’s involvement. What you have to do is to input your problematic SQL statement into the product and press a button. You don’t have to do analysis, guessing or testing during the entire SQL tuning process. The improved SQL statement will be benchmarked with your original SQL statement side by side without suspicion.
World’s Leading A.I. SQL Rewrite technology for Oracle database
Tosska’s A.I. SQL Rewrite plus the A.I. Hints Injection Engine is the world’s leading machine SQL Tuning technology for Oracle database. It saves developer’s time to rewrite a problematic SQL by exploring the potenial best SQL syntax and hints injection that even an experienced developer cannot discover.
Plan Control feature to tune your SQL even if you don’t have the source code
Tosska SQL Tuning Expert Pro (TSE Pro™) also comes with an innovative Plan Control function that improves your SQL performance without touching your program source code. Users can even deploy different performance query plans for various sizes of production databases without the effort of keeping multiple versions of the program source, it is especially suitable for package application users who don’t own the source code of their applications. For application developers, a problematic SQL statement can be improved without going through the time-consuming unit test, integration test and program implementation required in software development cycle.
Intelligent Workload-Based Index Advisor
Apart from the intelligent SQL tuning features, a powerful indexes recommendation function is also provided in TSE Pro™ to help users to review and explore more potential indexes that are helpful but may be missing in current database schema.
It is an intelligent and cost-aware index advice engine that helps users to review their existing database schema if there are any new indexes which can help to improve a given SQL workload. The engine can handle up to thousands of SQL statements and give you a reasonable recommendation that even human experts cannot achieve.
Tosska In-Memory Maestro (TIM™) for Oracle® automates the In-memory SQL optimization process and provide In-memory objects recommendations for a given SQL workload with our proprietary artificial intelligent engine.
Tosska In-memory Maestro (TIM™) also provides user friendly In-memory simulation function for user to virtually evaluate their in-memory table objects for one SQL or a given SQL workload captured from SGA or AWR without actually populating those table objects.
Tosska Technologies Limited is a young and energetic company that provides intelligent database tuning tools to help our customers to optimize their databases performance to the maximum within the current database and hardware limitation.
With the rapid changes of modern databases, database administrators and developers have to learn and manage new features provided by databases with short period of time, there is always a time gap between fully mastering new features and actually implementing the new features in production.
Our mission is to help users to smooth out the hurdle by our new technologies. Furthermore, Tosska is one of the very few companies in the world that focuses on using artificial intelligence technology to solve various database performance problems. It is our goal to help our customers to reduce their hardware investment; increase their database applications service level and free up their human resources for more strategic activities with our innovative technologies.
Tosska has a very strong technical team. Our CTO has over twenty year experiences in the Artificial Intelligent software development field supported by a development team with solid database management related software development experience in fortune 500 international corporations.
Oftentimes, database professionals make the mistake of jumping to conclusions when trying to improve MySQL database performance. They assume that the database must be the reason why the application has slowed down.
In most cases, they may be right- which is why it’s important to start looking for possible bottlenecks and removing them to reduce lag. However, make sure you consider multiple forms of diagnostic data when attempting to uncover the root cause behind poor MySQL database performance. Don’t stick to just monitoring CPU usage or disk IO as relying on a single metric has greater chances of leading you to an incorrect diagnosis.
We need to look at the full picture to understand the complex interdependencies among CPU, memory, and IO. It is important to do so before making reactive changes, such as increasing disk capacity or memory. In this blog, we will take a look at one such reason behind performance bottlenecks- large data volumes.
How Large Data Volumes Affect MySQL Database Performance
Statements that cover a wide scope of data or are unrefined may fetch unreasonably large quantities of information from the database. This doesn’t seem like a problem at first when the database is new and has minimal data.
The true issue emerges as it grows in size, gradually leading to the requirement of Database Server. This is because when a statement fetches data, the data must be scanned into memory. The bigger the size of the data that needs scanning, the greater the load on the CPU, resulting in the need for burst mode due to sudden CPU spikes. This kind of usage increases the chances of your database server crashing.
Additionally, in case the data does make it from the database server, your app server may not be sufficiently provisioned to handle it. Known as over-fetching, you can overcome this problem by limiting the scope of data selection to relevant records. One way to do that is to opt for the WHERE clause in such queries- after you find them, of course.
The key to locating them is by searching through the database logs and metrics for tell-tale signs of large-scale data fetching. Although you might be able to spot CPU spikes or burst credit utilization from these metrics, it might not be easy to tell which statements are causing this specifically.
Things You Can Do to Improve MySQL Database Performance
Query optimization is one of the best places to begin when you have to improve MySQL database performance. But it differs from case to case and is far from a one-size-fits-all endeavor. That said, there are certain tasks that help in a lot of cases:
As mentioned above, you can prevent large result sets and decrease data volume by limiting the search to relevant records using the WHERE clause.
Go through the database schema to uncover ways that decrease complexity. For instance, keep an eye out on queries that contain a lot of joins since they take more time than most queries. You can make them run faster by reducing their relationships.
A large number of queries also fetch unnecessary fields from tables. You can set them to return only those fields that are important to keep from over-fetching again.
Views can help in some, but not all cases. A view is similar to a table that you can create beforehand by executing a statement to predetermine values that may require on-the-spot calculation otherwise.
Change the syntax of the SQL to influence database SQL optimizer to generate a better query plan.
If your application is performing poorly, the problem often lies with the database, with inefficient queries. While there isn’t any solution that works for every single query out there, database experts can hone in on the ones that require optimization using diligent analysis and monitoring, along with the right SQL optimizer tool for sql server.
After they successfully find the queries behind slow database performance, all they have to do is take the right steps to resolve this issue. These include optimization techniques, such as adding indexes, editing out unnecessary fields, and inserting the WHERE clause wherever necessary.
DBAs can’t ignore disk operations when working on query performance tuning. When talking about databases, ‘disk’ may be called by one of its many names, such as ‘storage’, ‘I\O’, ‘Reads’, or disk operations.
Although database professionals know all these terms mean the same thing, these might confuse those outside this field. When referring to one of these terms, they usually mean the number of disk operations required to fetch the data from the Disk resource.
Why You Can’t Ignore Disk Operations During Query Performance Tuning
The fact remains, however, that an overwhelming majority of SQL Server databases face the bottleneck issue when it comes to the disk resource. This doesn’t change, regardless of whether you have old-school hard drives or the latest flash storage arrays. Given below are some major reasons behind this, and how these can be affected with MySQL query optimization:
Most slow queries are slow because they have to scan a large amount of data. A lot of the time, this is unnecessary and it’s making your SQL Server perform a lot of unneeded and really sluggish read operations.
When the database reads data, it requires a place to store that information- which it does in the RAM. However, since the RAM has a limited capacity, older information starts getting removed with newer data coming in.
Because RAM is never enough, it is often unable to store all the data that SQL Server fetches. Therefore, the remaining data has to be kept on the disk, which is far slower than the RAM. The information that isn’t present in the RAM has to be fetched from the disk- an operation that is known as the slowest in all of the database operations. Some DBAs even compare data fetching from the RAM and the disk to sprinting and tip-toeing.
So, if we tune a query to read less data than it did before, such as twenty rows instead of twenty thousand, it will help in two ways. Not only will it reduce the workload on the database in terms of disk operations, but it will also require far fewer resources, including CPU and RAM, to process all the data. That said, the end-user is unaware of all these operations- all they know and appreciate is the speed or the time it takes for the query to fetch information. To put it simply, they just want the screen on the app to return as quickly as possible. This is why query performance tuning focuses on decreasing disk reads.
DBAs also perform tuning to lower the other resources, such as CPU or RAM usage. But they only do this in certain special situations where such resources are consistently being overused at dangerous levels. For instance, if the CPU is in constant use of 90% or above, then the DBA will consider CPU tuning.
Tuning queries that fetch large volumes of data to fetch much smaller volumes instead improves SQL Server capacity. This is because when a query takes up fewer resources, it leaves room for more users and queries. This allows the same server to take greater loads than it could. Performing MySQL query optimization also improves the lifespan of the same server, delaying the requirement for a hardware upgrade.
The above-mentioned reasons shed light on the fact that disk operations play a major role in enabling efficient database query performance. You can’t always blame the CPU; in fact, you can rarely do so since 95% of bottlenecks occur on the disk resource.
The CPU, on the other hand, is only a lagging indicator whose use can decrease if the storage reads differ.