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  1. Omit the AS for table alias in Oracle. SELECT G.Guest_ID, G.First_Name, G.Last_Name FROM Guest G JOIN Stay S ON G.Guest_ID = S.Guest_ID WHERE G.City = 'Miami' AND S.Room = '222'; This will give you the output without errors.

  2. The AS keyword is used to distinguish between the column name and the column alias. Because the AS keyword is optional, you can skip it as follows: SELECT . first_name forename, last_name surname. FROM . employees; Code language: SQL (Structured Query Language) (sql) Using Oracle column alias to make column heading more meaningful.

  3. Let's look at an example of how to alias a table name in Oracle/PLSQL. For example: SELECT p.product_id, p.product_name, categories.category_name FROM products p INNER JOIN categories ON p.category_id = categories.category_id ORDER BY p.product_name ASC, categories.category_name ASC; In this example, we've created an alias for the products ...

  4. Oracle Database will use this alias in the column heading of the result set. The AS keyword is optional. The alias effectively renames the select list item for the duration of the query.

  5. 15 lip 2024 · At the heart of this feature lies the AS keyword, which represents a powerful tool for assigning temporary names to tables, columns, and even subqueries. In this guide, you will understand what an alias in SQL is, how it works, when and why to use it, and explore some best practices. Let's dive in!

  6. docs.oracle.com › cd › E49933_01AS clause - Oracle

    The AS clause allows you to give an alias name to EQL attributes and results. The alias name can be given to an attribute, attribute list, expression result, or query result set. The aliased name is temporary, as it does not persist across different EQL queries.

  7. 7 sty 2020 · In ORDER BY you can refer to column aliases in the SELECT clause. This is what's happening in query 2. It isn't sorting by the values in the column. It's sorting by the values from the product and country. So for product TOTALs it sorts the values DK, GB, US, TOTAL => DK, GB, TOTAL, US.

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