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Best Practice for Adaptive Search

Received Response
edited Aug 6, 2020 2:20PM in Sales 5 comments


Any best practice?



We have several customers who have high data volume (100+ million ~ 300+ million records across objects). So far, we are able to run Adaptive Search and Workspace for 1 of them and we are planning to enable for others.

Can you advise on the following questions?

1. Do we have any limitation/threshold on data volume? For example, if the data volume is more than 200 million, workspace performance will degrade dramatically.

2. Can we request pod resizing for adaptive search with high-volume?

3. When we run publish job with 150+ million records, the job takes 18+ hours. And it takes 14+ hours for any of the new attribute publish. Are there any way we can reduce the publish time?

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