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Resolving Typesense API "Not Ready or Lagging" Error in Kubernetes

TLDR Hariharan is experiencing "Not ready or lagging" error with Typesense API in Kubernetes. Jason suggests using bulk import and exponential backoff, but the issue persists.

7mo

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Feb 22, 2023 (8 months ago)

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Hariharan

04:48 AM

Hi! We deploy typesense cluster in kubernetes using k8s script using https://github.com/typesense/typesense-kubernetes. When we try to communicate with typesense api, we are getting "Server said: Not ready or lagging". Can some one help to resolve this issue?

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Jason

04:49 AM

Here’s more context: https://typesense.org/docs/guide/syncing-data-into-typesense.html#handling-http-503s

See “Handling HTTP 503s”

Feb 23, 2023 (7 months ago)

Hariharan

02:45 AM

Hi! I tried different values for write and read lag. But no luck. I keep getting this issue. It is not happening in single instance docker container.

Jason

02:55 AM

It’s a back-pressure mechanism. You want to use the bulk import endpoint and then when you see a 503, pause writes for a bit and retry after a few minutes with exponential backoff

Hariharan

09:09 AM

Hi! With exponential backoff, I tried to write data. I set the backoff as delay of 1000 and increment every iteration by 2 for max. of 5 attempts. Still it fails. At the same time, pods in kubernetes goes to crasherror loop.

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