


How to Correctly Update Tables with Inner Joins in Oracle to Avoid ORA-00933?
Oracle UPDATE with INNER JOIN: Avoiding ORA-00933
When updating Oracle tables using an inner join, a common error is ORA-00933: "SQL command not properly ended." This arises from using incorrect syntax. The standard UPDATE ... INNER JOIN ... SET ...
syntax used in other databases like MySQL doesn't work directly in Oracle.
The Problem and Oracle's Solution
The problematic syntax looks like this:
UPDATE table1 INNER JOIN table2 ON table1.value = table2.DESC SET table1.value = table2.CODE WHERE table1.UPDATETYPE='blah';
Oracle requires a different approach. Here's the correct method:
UPDATE table1 SET table1.value = (SELECT table2.CODE FROM table2 WHERE table1.value = table2.DESC) WHERE table1.UPDATETYPE='blah' AND EXISTS (SELECT table2.CODE FROM table2 WHERE table1.value = table2.DESC);
This uses a subquery to fetch the table2.CODE
value for the update and an EXISTS
clause to ensure that the update only happens when a matching row exists in table2
. This prevents errors caused by attempting to update with non-existent values.
An Alternative Method: Inline Views
Another option involves using an inline view:
UPDATE (SELECT table1.value as OLD, table2.CODE as NEW FROM table1 INNER JOIN table2 ON table1.value = table2.DESC WHERE table1.UPDATETYPE='blah' ) t SET t.OLD = t.NEW;
This method's success depends on whether Oracle considers the inline view updatable, which is governed by specific database rules. The previous method is generally more reliable. Choose the method that best suits your needs and always test thoroughly.
The above is the detailed content of How to Correctly Update Tables with Inner Joins in Oracle to Avoid ORA-00933?. 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.

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 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.
