


How Can a PL/pgSQL Function Dynamically Return Results from Various SELECT Queries?
Refactor PL/pgSQL functions to return output of different SELECT queries
Dynamic SQL and return types
Returns records of undefined type
The original function declared a return type of text, but now the goal is to execute the generated SQL statement and return the result as a record. To do this you need to use dynamic SQL and deal with returning records of a type that is not yet defined.
Custom types with numeric and data type mutability
One approach is to create a custom return type with a fixed number of columns but a variable data type. However, this requires defining a list of column definitions for each call, which becomes impractical when the column names and data types are not known in advance.
Use polymorphic types
pg_typeof() Returns the table name as the object identifier type (regtype). When automatically converted to text, identifiers are automatically double-quoted and pattern-qualified, thus preventing SQL injection.
RETURN QUERY EXECUTE
The preferred way to execute dynamic SQL and return rows is RETURN QUERY EXECUTE. It allows you to execute SQL queries and return the results as rowsets with well-defined row types.
Code Example
Suppose you want to return all columns of any table based on the table type parameter:
CREATE OR REPLACE FUNCTION data_of(_tbl_type anyelement, _id int) RETURNS SETOF anyelement LANGUAGE plpgsql AS $func$ BEGIN RETURN QUERY EXECUTE format(' SELECT * FROM %s -- 自动用双引号括起来并进行模式限定 WHERE id = ORDER BY datahora' , pg_typeof(_tbl_type)) USING _id; END $func$;
Usage
Call this function with the table type as the first parameter and the ID as the second parameter. This function will return all columns of the record with the given ID in the specified table.
SELECT * FROM data_of(NULL::pcdmet, 17); -- 将pcdmet替换为任何其他表名。
The above is the detailed content of How Can a PL/pgSQL Function Dynamically Return Results from Various SELECT Queries?. 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



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

Article discusses securing MySQL against SQL injection and brute-force attacks using prepared statements, input validation, and strong password policies.(159 characters)
