Home Java JavaInterview questions Database performance optimization for java interview

Database performance optimization for java interview

Dec 01, 2020 pm 02:56 PM
java Performance optimization database interview

Database performance optimization for java interview

Interview questions:

Which databases have you used, database optimization operations

(Recommended tutorial: java teaching video)

Answer:

1. Configure mysql performance optimization parameters according to the service level

;

2. Enhance the performance of mysql from the system level: Optimize the data table structure

① Decompose a table with many fields into multiple tables

For tables with many fields, if some fields are used very rarely, you can separate these fields Create a new table. Because when a table has a large amount of data, the query speed will slow down due to the presence of infrequently used fields.

(Recommendations for more related interview questions: java interview questions and answers)

② Add intermediate tables

For tables that often require joint queries, Intermediate tables can be created to improve query efficiency. By establishing an intermediate table, insert data that requires frequent joint queries into the intermediate table, and then change the original joint query to a query on the intermediate table to improve query efficiency.

3. Enhance performance from the database level

Optimize SQL statements and use field indexes rationally.

4. Enhance performance from the code level: use cache and NoSQL database storage, such as MongoDB/Memcached/Redis to alleviate the pressure of database queries under high concurrency.

5. Reduce the number of database operations and try to use database access-driven batch processing methods.

6. Migrate and backup infrequently used data to avoid searching in massive data every time.

7. Improve the hardware configuration of the database server or build a database cluster.

8. Programming methods to prevent SQL injection: use JDBC PreparedStatement to insert or query bit by bit; regular expression filtering (illegal string filtering);

Related recommendations: java introductory tutorial

The above is the detailed content of Database performance optimization for java interview. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1662
14
PHP Tutorial
1261
29
C# Tutorial
1234
24
Nginx Performance Tuning: Optimizing for Speed and Low Latency Nginx Performance Tuning: Optimizing for Speed and Low Latency Apr 05, 2025 am 12:08 AM

Nginx performance tuning can be achieved by adjusting the number of worker processes, connection pool size, enabling Gzip compression and HTTP/2 protocols, and using cache and load balancing. 1. Adjust the number of worker processes and connection pool size: worker_processesauto; events{worker_connections1024;}. 2. Enable Gzip compression and HTTP/2 protocol: http{gzipon;server{listen443sslhttp2;}}. 3. Use cache optimization: http{proxy_cache_path/path/to/cachelevels=1:2k

Break or return from Java 8 stream forEach? Break or return from Java 8 stream forEach? Feb 07, 2025 pm 12:09 PM

Java 8 introduces the Stream API, providing a powerful and expressive way to process data collections. However, a common question when using Stream is: How to break or return from a forEach operation? Traditional loops allow for early interruption or return, but Stream's forEach method does not directly support this method. This article will explain the reasons and explore alternative methods for implementing premature termination in Stream processing systems. Further reading: Java Stream API improvements Understand Stream forEach The forEach method is a terminal operation that performs one operation on each element in the Stream. Its design intention is

PHP: A Key Language for Web Development PHP: A Key Language for Web Development Apr 13, 2025 am 12:08 AM

PHP is a scripting language widely used on the server side, especially suitable for web development. 1.PHP can embed HTML, process HTTP requests and responses, and supports a variety of databases. 2.PHP is used to generate dynamic web content, process form data, access databases, etc., with strong community support and open source resources. 3. PHP is an interpreted language, and the execution process includes lexical analysis, grammatical analysis, compilation and execution. 4.PHP can be combined with MySQL for advanced applications such as user registration systems. 5. When debugging PHP, you can use functions such as error_reporting() and var_dump(). 6. Optimize PHP code to use caching mechanisms, optimize database queries and use built-in functions. 7

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

PHP vs. Python: Understanding the Differences PHP vs. Python: Understanding the Differences Apr 11, 2025 am 12:15 AM

PHP and Python each have their own advantages, and the choice should be based on project requirements. 1.PHP is suitable for web development, with simple syntax and high execution efficiency. 2. Python is suitable for data science and machine learning, with concise syntax and rich libraries.

PHP vs. Other Languages: A Comparison PHP vs. Other Languages: A Comparison Apr 13, 2025 am 12:19 AM

PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.

PHP vs. Python: Core Features and Functionality PHP vs. Python: Core Features and Functionality Apr 13, 2025 am 12:16 AM

PHP and Python each have their own advantages and are suitable for different scenarios. 1.PHP is suitable for web development and provides built-in web servers and rich function libraries. 2. Python is suitable for data science and machine learning, with concise syntax and a powerful standard library. When choosing, it should be decided based on project requirements.

MySQL: An Introduction to the World's Most Popular Database MySQL: An Introduction to the World's Most Popular Database Apr 12, 2025 am 12:18 AM

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

See all articles