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Difference b/w (*) & (Select_columns)

Using the * wildcard and selecting specific columns in SQL queries each has its own advantages and disadvantages. Let’s explore both approaches:

Advantages of using * (Wildcard):

  1. Simplicity: Using * is convenient and requires less typing, especially for queries involving multiple tables with many columns.
  2. Flexibility: When you add or remove columns from a table, queries using * automatically reflect those changes without needing to modify the query.
  3. Quick Query Writing: For ad hoc queries or quick data exploration, using * can be efficient.

Disadvantages of using * (Wildcard):

  1. Reduced Readability: Using * makes it less clear which columns are being selected, especially in complex queries or when joining multiple tables.
  2. Performance Impact: When you use *, the database fetches all columns, which might include unnecessary data. This can impact query performance, especially for large tables.
  3. Maintenance Challenges: If the table structure changes (e.g., column names, order), it can potentially break parts of your application that rely on the column order or specific columns.
  4. Security Risks: If sensitive data columns are part of the table but not needed in the query, using * might expose more information than necessary.

Advantages of Selecting Specific Columns:

  1. Improved Readability: Selecting specific columns makes the query more self-explanatory and easier to understand, especially for others reviewing your code.
  2. Better Performance: By selecting only the necessary columns, the database fetches less data, improving query performance and reducing network overhead.
  3. Reduced Data Exposure: Selecting specific columns limits the amount of data returned, which can enhance data security by not exposing sensitive information.
  4. Optimized Index Usage: If your query uses indexes, selecting only the needed columns might enable the database to optimize index usage more effectively.

Disadvantages of Selecting Specific Columns:

  1. Maintenance Overhead: If the table structure changes (e.g., adding or removing columns), you need to update your queries to include the new columns or remove references to deleted columns.
  2. More Typing: When selecting multiple columns individually, you need to type out each column name, which can be cumbersome in queries with many columns or frequent changes.
  3. Static Query: Selecting specific columns can make the query less flexible to changes in the table structure.

In summary, using * can be convenient for quick queries but might lead to performance and maintenance challenges in the long run. Selecting specific columns enhances readability, query performance, and data security, but it requires more maintenance effort and is less flexible to changes in the table structure. The choice between * and selecting specific colu

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