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Posts tagged " Database Optimization "

Improved Database Performance for Parallels Plesk Users

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With a lot of transformation on the online landscape, business is shifting their operations to the online space. On the other hand, many enterprises operate in order to cater to this urge of moving online by setting up new websites, reseller accounts, email accounts, DNS entries etc. through a web-based interface. To be able to provide with these services business enterprises use Parallels Plesk, which is a commercial web hosting platform.

Its control panel enables a server administrator to be able to set up new websites, reseller accounts, email accounts, and DNS entries via a web-based interface. This commercial web hosting data center automation software caters to the enterprises which provide Linux or Windows-based commercial web hosting service. Plesk is widely used by the developers, content managers, IT admins, digital agencies and infrastructure providers.

Importance of database optimization for Parallels Plesk users

Plesk manages the web hosting systems and applications on a single server. This makes it very crucial for the database servers to show a constant high performance without any slowdowns in order to not hinder the ongoing operations. Although expected, an all time high performance is not the reality among the Plesk users.

Plesk installs the custom versions of MySQL and PostgreSQL databases along with the Apache Tomcat Java platform server and ColdFusion server, or Microsoft SQL Server and Microsoft SQL Server Desktop Engine for Windows.

Often when these custom versions are not installed as per the requirements, there are persistent issues which result in the slowdown of the database server and impacts the overall performance.

Thus, to overcome these unwanted slowdowns, Plesk database tuning is often recommended by the database experts so as to optimize server performance. Let’s discuss what are the reasons behind the slowdowns and how Plesk database tuning could help in increasing the overall database server performance.

Plesk database tuning to Optimize server performance

For seamless web hosting services, it is important to maintain the high performance of the servers which often gets affected due to some, or the other reasons. Here are a few reasons causing database slowdowns for Parallels Plesk users and how to optimize the server performance by resolving them:

  • When the custom databases are not properly installed

Plesk requires custom installations of the databases, which might not be everyone’s cup of tea, given the lack of expertise. Any issues during installations could result in a long-term persistent slow performance due to the compatibility of the database servers.

To avoid this issue, it is always advised to consult expert Database Administrators with experience to install the database and perform initial setup. This assures a smooth and seamless functioning of the database servers in future.

  • High CPU usage

There could be a high CPU usage due to the more than the usual processing causing multiple slow queries.

A diligent database administrator could very well not only perform timely health checkups to trace the slow queries but also ensure to resolve them even before any slowdown happens to optimize server performance.

  • Optimize tables

Tables can cause slowdowns as there could be unused space which might not be optimized upon making changes or deleting rows/columns.

Optimizing a database table in Plesk can be very useful in improving the database performance by reusing the old portions of the tables in the linked list where the deleted rows/columns are still maintained. Plesk database tuning can be done by a diligent database professional, who could identify such areas and optimize the overall space utilization in the Plesk database.

The way forward

While Plesk database involves operations on a large scale as a single database server is responsible for hosting a lot of websites, DNS, reseller accounts or email accounts, it is important to optimize the server performance.

Database optimization is a key requirement for the seamless performance of the web hosting platform, and thus it is required to be well maintained with timely server health checks.

With an experience of 18 years as a database administrator, I am determined to ensure that the database is proactively optimized even before any issue occurs. If you are facing any issues with your Plesk Database and are looking for Plesk database tuning, feel free to contact me and get an in-depth consultation to optimize server performance.

ericvanier.com database performance

15: Factors that affect Database Performance

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With every business going online lately, the demand for high capacity and an efficient database has become the need of the hour. To cater to this need it is very crucial to ensure a high performance of the database.

To ensure a high performing database, it is very important to know the factors which affect the Database Performance in one way or the other.

Before we get into the details of the factors affecting database performance, let us first understand what a database performance is and why it is so important.

What is Database Performance?

Database Performance is the speed with which the database responds to the requests of accessing data. Though it might be sounding really simple, it has many layers unto it making it complicated, especially for DBA (Database Administrators), who spend most of their time ensuring a high performance of the database.

Why is Database Performance so important?

What makes Database Performance more important is the dependency of several operations on the data they access from the database. So, any kind of a slowdown from the database could subsequently slow down the entire operations. This would cause the end user to put off from the service.

Thus, Database Performance is substantial for a good user experience.

Factors that affect Database Performance

Here is the list of factors that affect the Database Performance, and which have to be well taken care of for a higher Database Performance.

Workload

 

ericvanier.com database performance workload

One of the primary factors which affect the performance of a Database. Workload defines the data access requests sent to the Database by the system or end user. Clearly, a higher number of requests would mean an increased workload, which would require more processing from the Database end.

 

A workload is a cumulative of online transactions, batch jobs, ad hoc queries, analysis, business

intelligence queries, utilities and system commands which are directed via DBMS (Database

Management System) at any given point of time.

 

It is a dynamic entity and changes from time to time. While sometimes it could be predicted due to

some possible reasons such as peak business hours etc. but it often remains unpredicted making it a

challenging job for the DBA.

 

This way in an overall manner workload makes it as one of the primary reasons which largely affect

the Database Performance and thus is often monitored carefully by the diligent Database

administrators.

 

Throughput

Throughput plays an important part in the Database Performance being the measure of the input/output speed of the entire process. This input/output speed depicts whether the queries are responded in a fast or slow manner.

 

Throughput is not just dependent on the hardware factors such as the CPU speed and capacity but

also relies on the software of the system, such as the Operating System, Mainframes, software

programs, and their integration.

 

If the hardware and the software perform efficiently, then the throughput of the database is

observed to efficient resulting in better performance of the database.

Resources

These play an important role in database performance and affecting the throughput and other factors directly. Efficient hardware and software resources such as CPU, memory, cache controllers and microcode play an important role in a high performance of the Database.

Optimization

ericvanier.com database performance optimized

An optimized system means a better performing system. This makes optimization of the database a crucial factor in ensuring a higher performance of the database.

 

An efficient Database Administrator ensures that the SQL queries are well optimized, by following

diligent optimization and database tuning practices. Thereby, writing an optimally efficient code for

better performance.

Contention

Contention usually happens when the workload on a database increases and many queries try to access same resources causing system conflicts. This usually results in a slowdown affecting the database performance.

 

This happens when one of the operations tries to access or update data on which another operation

is already making some changes causing conflicts. To avoid such conflicts during contention, DBMS

ensures a locking mechanism, which locks the access for other users on the piece of data when a

user is already updating it.

 

A lower contention means a better performance of the Database, due to fewer conflicts and

subsequent slowdowns.

In a nutshell

Improving these factors would definitely result in a high performing database, which would ensure more seamless business operations. Thus, Database Performance is analysed to the behest of business operations.

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14: Five Ways to Improve Database Performance

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Five Ways to Improve Database Performance

 

Have you ever heard of the term ‘Big Data’? Chances are you have and most of the businesses both big and small work with data. Owing to the increasing demand of data, data management is more important than ever. The need to manage data while increasing efficiency has lead to the need for database optimization. This is very important for any Database administrator who aims to improve their database performance.

 

 

Because of multiple technologies being curated it important to understand how one can make the most of their database management system. So let’s have a look at some of the most important database performance improvement techniques.

 

Query Optimization

 

Managing the data is one thing but the way one fetches the data plays a major role. Most of the times, query optimization is necessary for good database performance. There are times when it is hard to differentiate between subqueries and joins and which one to use.

 

The efficiency of the query is directly proportional to the performance of the system. This mainly because of the amount of load put in order to fetch the data.

 

Hence, query optimization is one of the most important database performance improvement techniques.

 

Indexing

 

Index is a major part of the database management system and is a major contributor to the database optimization process. An index basically contains keys to different parts of the table hence making it easier to locate data and decreasing the processing time. In case of a missing index, the search operation will run through the entire set of data in the table and put load on the system. Indexing is also necessary for query optimization which we discussed above.

 

Memory Allocation

 

When planning your database performance improvement techniques, memory allocation should be considered based on the realistic data requirements. Memory allocated to a database has a major impact on your system performance. Just like it needs powerful hardware, database needs ample free memory to boost system performance and speed up the processing.

 

A common method to keep a check on memory availability is through the number of page faults. The higher the number the lower is the memory. This has a negative impact on the database optimization process.

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Thus, developers are advised to allocate higher memory to the database (approximately 70% of the total memory in case of the only application on the server). To modify the memory allocated, developers have to access the configuration file and use the innodb_buffer_pool_size key in the .cnf file.

 

Defragmenting the Data

 

According to Wikipedia, “ In computer storage, fragmentation is a phenomenon in which storage space is used inefficiently, reducing capacity and performance.” This is a very common scenario in database management systems and thus it is necessary to defragment the data.

 

Over time, the data stored starts to fragment. This impacts the performance of the system. But running disk defragmentation combines similar data thus decreasing the processing time.

 

Moreover, defragmentation solves our previously mentioned problems of memory allocation and query optimization.

 

Disk Type

 

Choosing the right disk type for your database is essential to the performance of the system.It is related to the hardware part of the optimization process. Just like a faster CPU and higher memory, the hardware properties of the memory disk can improve the performance of the system.

 

One of the most efficient disk types used are the solid-state drives (SSD). The performance relies highly on the performance of the hardware and the I/O processes will respond to the system proportional to the speed of the disk where the data is stored and secured. Thus, working with a faster disk drive, preferably SSD will help improve your database optimization process.

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Conclusion

 

Database optimization is an ongoing process. There are numerous methods which can be used to speed up the process. Most of these will vary based on the requirements and the data. Thus, above mentioned are some common tips to improve database performance.

 

I’ve been a database performance expert for almost two decades. I have worked with many organizations, some of which belonged to the fortune 500. Get in touch with me today and we can discuss how I can help you to improve your production database performance.

ericvanier.com Database Tuning

13: Techniques for Database Optimization in MySQL

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Database lays the foundation for any kind of online operations. As the entire data flow into the system from the database, having a high database performance is important. It is thereby often recommended to opt for Database Optimization for the high performance of the database.

Diligent Database Administrators perform database tuning on a regular basis to keep up the performance of the database. But before we jump on to the MySQL Database optimization techniques, let us first understand what Database Optimization means.

What is Database Optimization?

Database Optimization refers to the techniques used in order to ensure the fastest possible time in which the SQL queries run for a database, resulting in a higher productivity. These techniques involve foreseeing different aspects to ensure an overall good health of the database.

Why is it important to perform Database tuning regularly?

A regular database tuning ensures a faster database access speed. This is done by finding all the possible areas of a slowdown by regular checkups. At the same time, queries are optimized to ensure they run fast and give the desired output.

 

For smaller databases where the data populated remains considerably less, the time difference between upon running a tuned database and any other database is not significant. But, when the databases are considerably large, then the time lapse between a tuned and an untuned database is significant, making regular database tuning important for overall seamless operations.

Techniques to perform Database tuning in MySQL

Here’s how you can optimize your database for a high performance by using the following MySQL database optimization techniques:

1.   Perform regular server health check-ups

Mysql Database optimization techniques

Server forms the spine of any database, and to keep it in good health, it is important to perform regular health check-ups. This would help you in detecting and rectifying areas causing a slowdown.

You can use tools for database tuning such as Execution Related Dynamic Management Views and Functions (Transact-SQL), which are commonly known as DMVs, to detect slowdowns by checking server health upon execution.

2.   Create optimized Indexes to make queries efficient

Creating efficient and well-optimized indexes is one of the most effective ways of database tuning in MySQL. A well-optimized index, allows a query to avoid unnecessary scanning of the entire tables for the result. This is very beneficial especially when the size of the database is quite large.

SQL server automatically measures and stores the statistical information of the distribution of values in the Indexed column as soon as the Index is created. This information helps in formulating the best optimizing strategy for the database.

 

3.   Create optimized Select queries

SELECT * (Select All) query often requires much more processing than other Select queries. Thus, it is always advised in order to use specific fields to make the processing lot faster for database tuning.

Also in the case where you want a fixed number of results, you can use LIMIT to get the required number of results and avoid unnecessary processing of the entire database.

These optimized Queries help a lot in database tuning by increasing performance, especially when the size of the database is large.

4.   Avoid using Nested loops in queries

Nested loops in the queries cause slowdown, especially when the data to be processed is large. Since there could not be parallel processing in the nested loops and they access the data only one after the other, it makes the process lengthier.

For database optimization in MySQL, try to avoid nesting loops while structuring queries.

5.   Analyze real-time statistics regularly

ericvanier.com Database Optimization

For database tuning, it is important to monitor and keep a track on the real-time statistics of the database by using different MySQL database optimization techniques and tools such as Live Query Statistics.

 Live Query Statistics, is very substantial for debugging SQL query performance related issues in real-time, as it displays statistics of step by step query execution. This helps in closely understanding and detecting which steps are causing slowdown by analyzing.

What makes this tool a pro is the statistics are available when the query is still executing, helping the Database administrator to understand and tweak queries where it is required for database tuning to boost the performance.

 

The next step

While the above MySQL optimization techniques will help you in database tuning, but you need to make sure you practice these basic techniques on a regular basis to ensure an optimized performance of your database.

If you require any further assistance in database performance related issues or an expert consultation, then you feel free to contact me, to help you overcome the challenges.