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Move to a better update strategy for Elastic search

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#233 3 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
30/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
elasticsearch, python
Domain
backend, databases, search

Research direction

Start by inventorying the Elasticsearch indexes maintained by the server API, including their fields and uses. Then review the current REST-triggered update strategy and consider the proposed Logstash monitoring approach; done means updates are automatically triggered without relying on the REST API.

Written by the indexing model from the issue text.

Description

enhancement

We want to eventually move away from the REST API having to trigger the elastic search update. For this we intend to consider tools like logstash. For example, if something is updated, we want to use logstash's monitoring to automatically trigger an ES update.

(We do not need to use logstash, but this seems like a decent option for now)

Since this is a bit complicated, I will try to do this in steps.

  1. Figure out ES indexes we maintain (and their fields) and what they are used for.
  2. Set up monitoring using logstash for the indexes
  3. Look at the current update strategy and use the monitoring from step 2 to automatically trigger an ES update
Dominant language
Python
Stars
16
Forks
50
No merged PRs in 30d

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  4. Open a pull request that references the issue number.

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