Efficient caching strategy for querying hundreds of records
My use case involves clients querying an API to retrieve records for up to 200 IDs at a time. To minimize the number of requests and without relying on HTTP/2 multiplexing for hundreds of GETs, what's the optimal strategy here to cache each individual ID as it's retrieved so I'm not hitting the db every time? Should I send POST batches of 50 IDs and perform 50 cacheable GET subqueries on the Worker?
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