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Resolving Column Ambiguity in MySQL Queries from Multiple Tables with Similar Structure
The provided database scenario involves multiple tables with identical data structures, each serving specific localization purposes. While fetching data from a single table presents no issues, the task becomes challenging when combining data from multiple tables and sorting by a custom column. The error encountered, "Column 'genre' in where clause is ambiguous," arises from MySQL's inability to distinguish between the 'genre' column from different tables in the WHERE clause.
To resolve this ambiguity and achieve the desired data retrieval, the UNION clause should be employed. The UNION clause allows you to combine the results of two or more queries into a single result set. In this case, separate queries can be used to fetch data from each table based on the specified 'genre' condition, and then the UNION clause can combine these results.
Here's the revised MySQL statement using the UNION clause:
This query will first select all rows from the 'us_music' table where the 'genre' column is equal to 'punk'. It will then select all rows from the 'de_music' table with the same 'genre' condition. The UNION operator will then combine these two result sets, ensuring that duplicate rows are removed.
By employing the UNION clause, the query effectively eliminates the column ambiguity and allows you to access and sort data from multiple tables with similar structures in a seamless manner.
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