Comments (3)
Thanks @gghai , just letting you know we've seen this and will check out the ticket soon, may come back to you with more questions based on what's in the support ticket.
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@gghai Can you tell us about your use case here? The support ticket mentions getting 90k documents out and turn those into Jackson JSON objects. But you also mention that you want "only a few documents from the ML instead of all matching documents". I'm not sure if 90 documents is considered to be "a few", or if you're only looking to get 10 or so documents instead of all 90k matching documents.
Also, once you have these documents, what do you want to do with them? I'm wondering if deserializing them into Jackson JSON objects is necessary.
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Closing this as the support ticket was closed due to lack of response.
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