Home Database Mysql Tutorial How to Split a Comma-Delimited String into Multiple Rows in Oracle?

How to Split a Comma-Delimited String into Multiple Rows in Oracle?

Jan 22, 2025 pm 05:47 PM

How to Split a Comma-Delimited String into Multiple Rows in Oracle?

Split comma separated string into multiple lines in Oracle

Splitting a comma-delimited string into multiple rows is a common data preprocessing and analysis task in Oracle Database. While there are many ways to accomplish this, we're going to look at one simple and effective method.

One way is to take advantage of Oracle's regular expressions and connect by functionality. Consider the following table, where each record contains comma-separated errors:

名称 项目 错误
108 test Err1, Err2, Err3
109 test2 Err1

Our goal is to extract each error into a separate line, resulting in the following:

名称 项目 错误
108 test Err1
108 test Err2
108 test Err3
109 test2 Err1

To do this, we use hierarchical query and regexp_substr to extract each error based on the number of occurrences of the error. The following query demonstrates this approach:

with temp as (
    select 108 Name, 'test' Project, 'Err1, Err2, Err3' Error from dual
    union all
    select 109, 'test2', 'Err1' from dual
)
select distinct
  t.name, t.project,
  trim(regexp_substr(t.error, '[^,]+', 1, levels.column_value)) as error
from 
  temp t,
  table(cast(multiset(select level from dual connect by level <= length(regexp_replace(t.error, '[^,]+')) + 1) as sys.OdciNumberList)) levels
order by name
Copy after login

This query uses commas to replace the length of the string (regexp_replace) and a hierarchical query mechanism to create a series of different levels. Each level represents the number of occurrences of errors in a comma-separated string. The regexp_substr function then extracts the errors based on their occurrence count and the final result set contains the desired output.

This method provides a simple and efficient way to split a comma-delimited string into multiple lines in Oracle 10g and later. It leverages Oracle's powerful string manipulation capabilities and hierarchical query capabilities to achieve the required data transformations.

The above is the detailed content of How to Split a Comma-Delimited String into Multiple Rows in Oracle?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

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.

Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

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.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

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.

Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

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: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

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.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

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.

Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Apr 02, 2025 pm 07:05 PM

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.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

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.

See all articles