


How to Retrieve the Four Newest Items Per Category with a Single SQL Query?
Select the latest items in each category using a single query
In a database of items classified by a field named category_id
, the task is to retrieve a list of categories, each containing its four most recently listed items. Rather than querying the database individually for each category, use a single SQL query to optimize the database calls.
Solution using outer join:
The following query uses an outer join to identify and exclude items that have updated counterparts in the same category:
SELECT i1.* FROM item i1 LEFT OUTER JOIN item i2 ON (i1.category_id = i2.category_id AND i1.item_id < i2.item_id) GROUP BY i1.category_id, i1.item_id HAVING COUNT(*) <= 4;
This query uses LEFT OUTER JOIN
to join each item (i1
) with its updated set of items (i2
) that has the same category. COUNT(*)
Used to count the number of matches for each item in each category. The HAVING
clause filters out items with more than four matches, ensuring that only the four newest items in each category are selected.
Solution using MySQL user variables:
This solution utilizes MySQL's user variable feature to track group and row numbers:
SELECT * FROM ( SELECT i.*, @r := IF(@g = category_id, @r+1, 1) AS rownum, @g := category_id FROM (SELECT @g:=null, @r:=0) AS _init CROSS JOIN item i ORDER BY i.category_id, date_listed DESC ) AS t WHERE t.rownum <= 4;
In this query, the user-defined variables @g
and @r
are used to keep track of the current category and row number, ensuring that only the first four items in each category are selected.
Solution using MySQL window functions (MySQL 8.0.3):
MySQL 8.0.3 introduces support for SQL standard window functions, providing a more concise and efficient solution:
WITH numbered_item AS ( SELECT *, ROW_NUMBER() OVER (PARTITION BY category_id ORDER BY date_listed DESC) AS rownum FROM item ) SELECT * FROM numbered_item WHERE rownum <= 4;
This query uses the PARTITION BY category_id ORDER BY date_listed DESC
clause to partition the result set by category and sort the items in descending order by the date_listed
column in each partition. The ROW_NUMBER()
window function then assigns consecutive row numbers to each partition, enabling the selection of the first four items of each category.
The above is the detailed content of How to Retrieve the Four Newest Items Per Category with a Single SQL Query?. 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.

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 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.

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.
