In daily database operation and maintenance, slow query is a common problem, which may be caused by complex query statements, insufficient index design, large amounts of data processing, insufficient hardware resources and other factors. These slow queries consume a large amount of database server resources and may even cause the database to crash and be unable to respond to business requests. Therefore, effective analysis and optimization of slow queries is the key to improving database performance and ensuring stable business operation.
Currently, enterprises face the following challenges in terms of slow query governance:
- Limited scalability: Slow query management tools on the market support very limited database types. If you use many different types of databases, you may need to find multiple different Slow query management tool.
- High threshold: Most tools only collect slow logs without aggregation and processing. They have poor readability and are difficult to quickly locate problems. In addition, due to the various causes of slow queries, analysis and optimization work requires professional DBAs with many years of experience. Otherwise, even if slow queries are successfully located, the problem may not be accurately located and effective optimization can be performed.
- High cost: Building a collection, computing, and storage platform through self-development requires considerable investment in hardware, software development, personnel management, etc., and with business development and As data volumes grow, these costs will continue to rise.
What is NineData slow query analysis?
NineData Slow Query Analysis is a powerful database optimization tool. It can not only automatically collect and analyze slow queries in the database, but also provide optimization suggestions for each slow query, which can greatly help enterprises simplify database performance optimization work.
NineData slow query analysis has the following characteristics:
- Multiple data source support: Supports multiple types of databases, including but not limited to MySQL, DB2, Oracle, etc., and continues to add support for more data source types. Allows you to manage slow queries across all your data sources in one place.
- Slow query collection: Collect queries that affect database performance from the database and record them. The record contains detailed information about the query, such as query statement, execution time, number of rows returned, etc.
- Slow Query Diagnosis: Conduct in-depth analysis of collected slow queries to find out what may be causing the query to slow down. Including various factors such as insufficient indexes, unreasonable table design, and improperly written query statements. Diagnostics can help you better understand why a query is slowing down and provide a basis for optimization.
- Slow query optimization: Carry out on the basis of diagnosis. Once the cause of slow query is found, the system will automatically analyze optimization methods, which may include adding or modifying indexes, adjusting table structure, rewriting query statements, etc. The goal of optimization is to increase the execution speed of queries and improve the overall performance of the database.
- The SaaS platform works out of the box: You don’t need complex installation and configuration, you can start managing your slow queries immediately through your browser. At the same time, there is no need to worry about hardware maintenance and software upgrades, and you can devote more energy to your business.
Why do you need NineData slow query analysis?
By using NineData slow query analysis, you can:
- Improve database performance: By locating and optimizing slow queries, the operating efficiency and stability of the database can be significantly improved.
- Save time and energy: NineData slow query analysis can automatically collect and analyze slow queries and provide you with optimization suggestions, thus saving you the time and energy of manual slow query analysis and optimization.
- Reduce business risks: Slow queries may cause the database to crash and affect business operations. By using NineData slow query analysis, you can discover and handle slow queries in a timely manner, thereby reducing business risks.
Usage scenarios of NineData slow query analysis
- Database performance optimization: If your database performance drops, or some queries take too long to execute, you can use NineData slow query analysis to identify the problem and optimize it.
- Database operation and maintenance: For database administrators, NineData slow query analysis is a powerful operation and maintenance tool that can help them monitor the performance of the database and find and solve problems in time.
- Development and testing: During the development and testing process, the management of slow query analysis of business SQL can be optimized in advance to avoid the launch of unreasonable SQL, which will affect the stable provision of online business services.
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4.1 Collect slow logs and aggregate them for processing
Collect slow logs and aggregate them for processing
4.2 Analyze and provide optimization suggestions
Analyze and provide optimization suggestions
manual
5.1 Register NineData.
5.2 Activate SQL Development Enterprise Edition.
Open SQL Development Enterprise Edition
5.3 Use slow query analysis.