*Troubleshooting "ORA-00918: column ambiguously defined" in SELECT Queries**
The error "ORA-00918: column ambiguously defined" commonly arises when running SELECT *
queries against multiple joined tables containing columns with identical names. Oracle's database engine cannot determine which column you intend to retrieve when multiple tables share a column name.
Illustrative Example and Solution
Consider this SQL query:
<code class="language-sql">SELECT * FROM (SELECT DISTINCT(coaches.id), people.*, users.*, coaches.* FROM COACHES INNER JOIN people ON people.id = coaches.person_id INNER JOIN users ON coaches.person_id = users.person_id LEFT OUTER JOIN organizations_users ON organizations_users.user_id = users.id ) WHERE rownum <= 25</code>
This query produces the error because multiple tables ( coaches
, people
, users
) contain a column named "id".
To correct this, avoid using SELECT *
. Instead, explicitly specify the columns you need:
Method 1: Direct Column Selection
This method directly selects the desired columns by their fully qualified names (table.column):
<code class="language-sql">SELECT coaches.id, people.name, users.username, coaches.title FROM COACHES INNER JOIN people ON people.id = coaches.person_id INNER JOIN users ON coaches.person_id = users.person_id LEFT OUTER JOIN organizations_users ON organizations_users.user_id = users.id WHERE rownum <= 25</code>
Method 2: Using Column Aliases
This approach assigns unique aliases to columns with duplicate names. This makes the selected columns unambiguous:
<code class="language-sql">SELECT coaches.id AS coach_id, people.name AS person_name, users.username AS user_username, coaches.title AS coach_title FROM COACHES INNER JOIN people ON people.id = coaches.person_id INNER JOIN users ON coaches.person_id = users.person_id LEFT OUTER JOIN organizations_users ON organizations_users.user_id = users.id WHERE rownum <= 25</code>
By using either of these methods, the ambiguity is removed, and the query will execute successfully. Always prefer explicit column selection over SELECT *
in queries involving joins to prevent this common error and improve query readability and maintainability.
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