SELECT * vs. Explicit Column Selection: When Does It Really Matter?
*Tradeoffs between `SELECT ` and explicit column selection in SQL queries**
The use of SELECT *
(select all columns) versus explicitly naming specific columns in a query has been controversial in the SQL world. As we all know, using SELECT *
is generally not recommended due to performance issues. But when should you use explicit column selection, and does it matter in all cases?
Efficiency Dilemma
One of the main reasons to avoid using SELECT *
is its potential impact on performance. When using SELECT *
, the query engine must retrieve all columns in the table, even if only some of them are actually needed. For tables with many columns, this overhead can be significant, especially when the query involves filtering or sorting.
In contrast, explicit column selection allows the query engine to retrieve only the necessary data, thereby reducing the amount of data that needs to be transferred and processed. This can lead to significant performance improvements.
Index utilization
Another advantage of explicit column selection is that it improves index utilization. Indexes are physical structures that allow faster access to table data. However, they are only valid if the query conditions involve columns included in the index.
When using SELECT *
, it is unlikely that all columns in the query will match the index columns. This reduces the likelihood that the query engine will be able to utilize the index, resulting in a more resource-intensive full-text scan.
Future-proof and consistent
Explicit column selection also provides advantages in terms of maintenance and code reliability. By naming specific columns in your query, you ensure that your code remains intact even if new columns are added to the table in the future. This reduces the risk of breaking queries and helps maintain consistent data structures.
Best Practices
Based on the above considerations, it is generally recommended to use explicit column selection in SQL queries whenever possible. This approach not only improves performance, but also improves maintainability and robustness.
Exceptions
While explicit column selection is the preferred method in most cases, there are some exceptions to consider:
-
Temporary table or staging area: For fast and temporary data operations, you can use
SELECT *
if performance is not the main concern. -
Pattern Discovery or Exploratory Analysis: When you are exploring a new database or schema,
SELECT *
can provide an easy way to examine all columns in a table.
The above is the detailed content of SELECT * vs. Explicit Column Selection: When Does It Really Matter?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

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

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

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

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)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

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.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
