How to resolve the issue of unresolved alias column in Spark SQL?

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The issue of unresolved alias column in Spark SQL occurs when a column or expression is referred to by an alias that has not been defined in the same query or subquery. To resolve this issue, you can follow these steps:

1. Check the query for syntax errors: Make sure that the syntax of the query is correct and all the required keywords are used as necessary.

2. Confirm the column names: Verify that all the column names used in the query are valid and exist in the tables being queried.

3. Check the aliases: Ensure that all the aliases used in the query have been defined in the same query or subquery. If not, define the missing aliases or remove any that are unnecessary.

4. Use full column names: Instead of using aliases, you can use the full column names in the query to avoid any ambiguity and resolve the unresolved alias column issue.

5. Use column indexes: If the columns are in a specific order, you can use their index positions to refer to them in the query instead of using aliases.

Once you have resolved the unresolved alias column issue, you can re-run the query to ensure that there are no other issues that need to be addressed.