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Evaluate the overhead (absolute and relative) of loading JSONB documents with and without a GIN index #3

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machristie opened this issue Feb 1, 2023 · 0 comments

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@machristie
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This came up in the design review. From Amila:

  1. The performance -- each time we insert/update documents the inverted index needs to be re-build. If we are are re-building the inverted index synchronously, the api call might need to wait more time. Asyncrhounous updates might be more suitable.

Perhaps we can do asynchronous updates, but first I think it would be good to quantify what overhead there is with updating the GIN index each time a JSONB document (i.e., the metadata column) is inserted into the data_product table.

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