Achieving Stable Result Set and Understanding TS Export Function

Yoshi sought ways to accelerate Typesense record retrieval. Jason advised upgrading to high availability and using the documents/export endpoint. They also noted a high volume of writes consuming significant CPU capacity as a possible performance factor.

Christopher had trouble importing 2.1M documents into Typesense due to memory errors. Jason clarified the system requirements, explaining the correlation between RAM and dataset size, and ways to tackle the issue. They both also discussed database-like query options.

Ken is building a search solution for a website using Typesense. They consulted Kishore Nallan about the implementation of updates using JSONL import and aliases and how to know when the new collection is indexed and ready. Measures, such as dividing large imports into small batches, were suggested to address the issue.