Posts tagged " Database Optimization "

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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.