How does querying a registered view of recent orders process data from Delta Lake tables?

How does querying a registered view of recent orders process data from Delta Lake tables?

• A. All logic is executed and stored when the view is defined, returning cached results.
• B. Results are computed and cached, incrementally updating with new records.
• C. All logic executes at query time, returning current valid versions of source tables.
• D. All logic executes at query time based on versions of source tables at the moment the query started.

Answer: (D)

Querying a registered view of recent orders processes data from Delta Lake tables by executing all logic at query time based on the versions of the source tables at the moment the query started. This means that when a query is made against the view, the underlying data from Delta Lake is accessed in real-time to ensure that the most up-to-date and valid versions of the table are returned. Delta Lake’s transaction log enables this capability, allowing the query to reflect any changes made to the underlying data since the view was created or last queried. This approach provides consistency and correctness, as it dynamically pulls the latest data rather than relying on potentially stale or cached information. The real-time execution of logic ensures that users have access to the most accurate data, reflecting any additions, deletions, or modifications to the underlying Delta Lake tables that have occurred up to the time the query is executed. This is essential, especially in environments where data changes frequently, such as in the case of recent orders, which may be populated continually. In contrast, the other options suggest different mechanisms for handling the data, such as pre-computation or caching results, which would not adequately address the need for real-time accuracy inherent in querying views built on top of Delta Lake tables.

Querying a registered view of recent orders processes data from Delta Lake tables by executing all logic at query time based on the versions of the source tables at the moment the query started. This means that when a query is made against the view, the underlying data from Delta Lake is accessed in real-time to ensure that the most up-to-date and valid versions of the table are returned. Delta Lake’s transaction log enables this capability, allowing the query to reflect any changes made to the underlying data since the view was created or last queried.

This approach provides consistency and correctness, as it dynamically pulls the latest data rather than relying on potentially stale or cached information. The real-time execution of logic ensures that users have access to the most accurate data, reflecting any additions, deletions, or modifications to the underlying Delta Lake tables that have occurred up to the time the query is executed. This is essential, especially in environments where data changes frequently, such as in the case of recent orders, which may be populated continually.

In contrast, the other options suggest different mechanisms for handling the data, such as pre-computation or caching results, which would not adequately address the need for real-time accuracy inherent in querying views built on top of Delta Lake tables.