


How to Overcome Oracle's 'Result of String Concatenation is Too Long' Error When Using LISTAGG?
Solving the "String concatenation result is too long" error in Oracle's LISTAGG function
An alternative is needed when the LISTAGG function encounters a large amount of data and throws a "String concatenation result is too long" error.
Solution of XMLAGG function
In order to achieve similar functionality to LISTAGG, Oracle's XMLAGG function can be used. The XMLAGG function aggregates data into an XML document, allowing concatenated values to exceed the LISTAGG limit. The following syntax demonstrates how to use XMLAGG:
SELECT RTRIM(XMLAGG(XMLELEMENT(E,colname,',').EXTRACT('//text()') ORDER BY colname).GetClobVal(),',') AS LIST FROM tablename;
Advantages of XMLAGG
The XMLAGG function has the following advantages:
- No line limit: XMLAGG stores concatenated values as CLOBs (Character Large Objects) with no line limit.
Example usage
Consider the following code snippet:
SELECT SESSION_DT, C_IP, CS_USER_AGENT, listagg(WEB_LINK, ' ') WITHIN GROUP(ORDER BY C_IP, CS_USER_AGENT) "WEB_LINKS" FROM webviews GROUP BY C_IP, CS_USER_AGENT, SESSION_DT ORDER BY SESSION_DT
To resolve errors encountered, LISTAGG can be replaced with XMLAGG:
SELECT SESSION_DT, C_IP, CS_USER_AGENT, RTRIM(XMLAGG(XMLELEMENT(E,WEB_LINK,',').EXTRACT('//text()') ORDER BY WEB_LINK).GetClobVal(),',') AS "WEB_LINKS" FROM webviews GROUP BY C_IP, CS_USER_AGENT, SESSION_DT ORDER BY SESSION_DT
The above is the detailed content of How to Overcome Oracle's 'Result of String Concatenation is Too Long' Error When Using LISTAGG?. 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.

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.

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

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

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.

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.

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.
