How to use rank(over() in sql
The RANK() OVER() function in SQL is used to assign ranking values to data records. It accepts an ORDER BY clause specifying the columns to rank by and the sort order. Parameters include: column name (column to be ranked), sort order (ascending or descending), and how NULL values are handled (first, last, or only non-NULL values). This function is used to assign the same rank or unique rank to records with the same value, and can exclude or handle NULL values.
RANK() OVER() usage in SQL
RANK() OVER() function is used in SQL Used to rank data and assign a ranking value to each record. This function accepts an ORDER BY clause specifying the columns to rank by and the sort order.
Syntax:
<code>RANK() OVER (ORDER BY 列名 [ASC|DESC] [NULLS FIRST|LAST|ONLY])</code>
Parameters:
- Column name: Specify participation ranking of columns.
- ASC|DESC:Specify the ranking order (ascending or descending).
- NULLS FIRST|LAST|ONLY: Specify how to handle NULL values.
Usage:
RANK() OVER() function is used to rank various types of data, including:
- Assign the same ranking to records with the same value
- Assign unique rankings to records with different values
- Exclude NULL values or rank NULL values first/last
Example:
The following example ranks the records in the "Students" table based on the "Score" column, from high to low:
<code>SELECT *, RANK() OVER (ORDER BY 分数 DESC) AS 排名 FROM 学生;</code>
The results are as follows:
Student Number | Name | Score | Ranking |
---|---|---|---|
小明 | 95 | 1 | |
小华 | 90 | 2 | |
小丽 | 85 | 3 | |
Xiaogang | 80 | 4 |
RANK() The ranking value returned by OVER() starts from 1, not 0.
- If there are multiple records with the same value in the column ranked by, those records will be assigned the same ranking value.
- For NULL values, the NULLS FIRST option ranks NULL values first, the NULLS LAST option ranks NULL values last, and the NULLS ONLY option ranks only non-NULL values.
The above is the detailed content of How to use rank(over() in sql. 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

AI Hentai Generator
Generate AI Hentai for free.

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



Article discusses using SQL for GDPR and CCPA compliance, focusing on data anonymization, access requests, and automatic deletion of outdated data.(159 characters)

Article discusses implementing data partitioning in SQL for better performance and scalability, detailing methods, best practices, and monitoring tools.

The article discusses securing SQL databases against vulnerabilities like SQL injection, emphasizing prepared statements, input validation, and regular updates.

The DATETIME data type is used to store high-precision date and time information, ranging from 0001-01-01 00:00:00 to 9999-12-31 23:59:59.99999999, and the syntax is DATETIME(precision), where precision specifies the accuracy after the decimal point (0-7), and the default is 3. It supports sorting, calculation, and time zone conversion functions, but needs to be aware of potential issues when converting precision, range and time zones.

How to create tables using SQL statements in SQL Server: Open SQL Server Management Studio and connect to the database server. Select the database to create the table. Enter the CREATE TABLE statement to specify the table name, column name, data type, and constraints. Click the Execute button to create the table.

SQL IF statements are used to conditionally execute SQL statements, with the syntax as: IF (condition) THEN {statement} ELSE {statement} END IF;. The condition can be any valid SQL expression, and if the condition is true, execute the THEN clause; if the condition is false, execute the ELSE clause. IF statements can be nested, allowing for more complex conditional checks.

The article discusses using SQL for data warehousing and business intelligence, focusing on ETL processes, data modeling, and query optimization. It also covers BI report creation and tool integration.

To avoid SQL injection attacks, you can take the following steps: Use parameterized queries to prevent malicious code injection. Escape special characters to avoid them breaking SQL query syntax. Verify user input against the whitelist for security. Implement input verification to check the format of user input. Use the security framework to simplify the implementation of protection measures. Keep software and databases updated to patch security vulnerabilities. Restrict database access to protect sensitive data. Encrypt sensitive data to prevent unauthorized access. Regularly scan and monitor to detect security vulnerabilities and abnormal activity.
