Which solution will meet these requirements?
Perform a BatchGetltem operation that returns items from the two tables. Use the list of songName/artistName keys for the songs table and the list of artistName key for the artists table.
Create a local secondary index (LSI) on the songs table that uses artistName as the partition key. Perform a query operation for each artistName on the songs table that filters by the list of songName. Perform a query operation for each artistName on the artists table.
Perform a BatchGetitem operation on the songs table that uses the songName/artistName keys. Perform a BatchGetltem operation on the artists table that uses artistName as the key.
Perform a Scan operation on each table that filters by the list of songName/artistName for the songs table and the list of artistName in the artists table.
Explanations:
BatchGetItem allows for efficient retrieval of multiple items from both tables in a single request, minimizing network traffic and improving performance.
Creating a local secondary index and performing multiple query operations would increase complexity and lead to higher latency, as multiple requests are needed for each artist.
While BatchGetItem can be used effectively for both tables, it still requires separate calls for each table, making it less optimal than a single operation for both.
Scan operations are inefficient for large datasets, as they read every item in the table, increasing network traffic and reducing performance.
I map out that the answer is:
Perform a BatchGetltem operation that returns items from the two tables. Use the list of songName/artistName keys for the songs table and the list of artistName key for the artists table.