


SELECT * vs. SELECT Specific Columns: How Does Column Selection Impact Database Performance?
*Database query performance: Comparison of SELECT and SELECT specified columns**
In database operations, the selection of "SELECT *" (select all columns) and "SELECT column1, column2, ..." (select specific columns) will significantly affect query performance. This article explores the performance differences between these two approaches in terms of I/O, memory, and database engine behavior.
I/O Performance
The database engine usually retrieves the entire tuple (row) from disk, regardless of whether only certain columns are requested in the query. This means that the I/O overhead is the same whether you select all columns or specific columns.
Memory consumption
However, selecting specific columns can reduce memory consumption. "SELECT *" will load the entire tuple into memory, even if only some of its columns are needed. "SELECT column1, column2, ..." on the other hand only retrieves the requested columns, thus reducing memory overhead.
Database Engine Behavior
Most database engines optimize queries by avoiding unnecessary table scans. If a query specifies only a few columns, the engine can use indexes to efficiently retrieve the data, thereby reducing I/O operations. This is possible when specific columns are selected and these columns are part of an indexing strategy. "SELECT *" forces the engine to scan the entire table regardless of whether any indexes exist.
Impact on production code
Due to the performance benefits of selecting specific columns, it is strongly recommended not to use "SELECT " in production code. In addition to the performance considerations mentioned above, "SELECT " can hinder database optimization and introduce potential maintenance issues. Therefore, the specific columns required for each query must be carefully considered to optimize performance and ensure efficient database operations.
The above is the detailed content of SELECT * vs. SELECT Specific Columns: How Does Column Selection Impact Database Performance?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

ArtGPT
AI image generator for creative art from text prompts.

Stock Market GPT
AI powered investment research for smarter decisions

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

MySQL's DATE_FORMAT() function is used to customize the date and time display format. The syntax is DATE_FORMAT(date, format), and supports a variety of format characters such as %Y, %M, %d, etc., which can realize date display, group statistics and other functions.

The answer is: MySQL's CASE statement is used to implement conditional logic in query, and supports two forms: simple and search. Different values can be dynamically returned in clauses such as SELECT, WHERE, and ORDERBY; for example, in SELECT, classification of scores by fractional segments, combining aggregate functions to count the number of states, or prioritizing specific roles in ORDERBY, it is necessary to always end with END and it is recommended to use ELSE to handle the default situation.

Create a shell script containing the database configuration and mysqldump command and save it as mysql_backup.sh; 2. Store MySQL credentials by creating ~/.my.cnf file and set 600 permissions to improve security, modify the script to use configuration file authentication; 3. Use chmod x to make the script executable and manually test whether the backup is successful; 4. Add timed tasks through crontab-e, such as 02/path/to/mysql_backup.sh>>/path/to/backup/backup.log2>&1, realize automatic backup and logging at 2 a.m. every day; 5.

AUTO_INCREMENT automatically generates unique values for the primary key column of the MySQL table. When creating the table, define this attribute and ensure that the column is indexed. When inserting data, omit the column or set it to NULL to trigger automatic assignment. The most recently inserted ID can be obtained through the LAST_INSERT_ID() function. The start value and step size can be customized through ALTERTABLE or system variables, which is suitable for unique identification management.

Subqueries can be used in WHERE, FROM, SELECT, and HAVING clauses to implement filtering or calculation based on the result of another query. Operators such as IN, ANY, ALL are commonly used in WHERE; alias are required as derivative tables in FROM; single values must be returned in SELECT; related subqueries rely on outer query to execute each row. For example, check employees whose average salary is higher than the department, or add the company average salary list. Subqueries improve logical clarity, but performance may be lower than JOIN, so you need to ensure that you return the expected results.

INSERT...ONDUPLICATEKEYUPDATE implementation will be updated if it exists, otherwise it will be inserted, and it requires unique or primary key constraints; 2. Reinsert after deletion of REPLACEINTO, which may cause changes in the auto-increment ID; 3. INSERTIGNORE only inserts and does not repetitive data, and does not update. It is recommended to use the first implementation of upsert.

EXPLAINinMySQLrevealsqueryexecutionplans,showingindexusage,tablereadorder,androwfilteringtooptimizeperformance;useitbeforeSELECTtoanalyzesteps,checkkeycolumnsliketypeandrows,identifyinefficienciesinExtra,andcombinewithindexingstrategiesforfasterqueri

Use UTC to store time, set the MySQL server time zone to UTC, use TIMESTAMP to realize automatic time zone conversion, adjust the time zone according to user needs in the session, display the local time through the CONVERT_TZ function, and ensure that the time zone table is loaded.
