What does an 'All' join type imply about data handling?

The 'All' join type signifies that every record in the table is processed, regardless of whether they have matching counterparts in the joined table. This type of join essentially ensures that all entries from the specified table are included in the result set, which means that even if there are no corresponding matches in the related records, those entries will still be part of the output.

This complete processing of records allows for a comprehensive analysis or aggregation of data across the tables involved. For example, when performing an 'All' join, if you're looking at a table that contains user data and another that contains transaction data, every user will be returned in the results, even if some users have no transactions recorded. This is particularly useful in scenarios where you want to see the full picture, including those entries that might otherwise be overlooked due to lack of associations.

Other options like only retrieving matched records or applying specific conditions do not apply here, as they focus on restrictions or filtering criteria that are not part of the 'All' join's purpose. This distinction helps clarify why the 'All' join type is unique in its handling of data across relationships.