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Investigate cause of slow performance for TOMs with large databases #668

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rachel3834 opened this issue Jun 28, 2023 · 0 comments · May be fixed by #619
Open
2 tasks

Investigate cause of slow performance for TOMs with large databases #668

rachel3834 opened this issue Jun 28, 2023 · 0 comments · May be fixed by #619
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bug Something isn't working enhancement New feature or request Epic Overview topic for high level discussion

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@rachel3834
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rachel3834 commented Jun 28, 2023

Is your feature request related to a problem? Please describe.
A number of projects have build TOMs with very large databases, including some that have customised the TOM DB.
A good example is the DESC-TOM, which ingested alert and classification information for a large set of simulated LSST alerts from several different brokers. The goal was to compare the classification data for the same alerts from different brokers, necessitating a large table join. Queries against this DB were very slow.

Describe the solution you'd like
Explore alternative DB structures that might offer better performance for these kinds of projects, for example no-SQL.

Additional context
This has been highlighed as an issue for the DESC-TOM and Sagguro projects.

This is related to:

@rachel3834 rachel3834 added the enhancement New feature or request label Jun 28, 2023
@github-project-automation github-project-automation bot moved this to Backlog in TOM Toolkit Jun 28, 2023
@rachel3834 rachel3834 moved this from Backlog to Icebox in TOM Toolkit Oct 30, 2023
@jchate6 jchate6 linked a pull request Oct 1, 2024 that will close this issue
@jchate6 jchate6 added bug Something isn't working Epic Overview topic for high level discussion labels Oct 1, 2024
@jchate6 jchate6 moved this from Icebox to Triage in TOM Toolkit Oct 1, 2024
@jchate6 jchate6 added this to the TOMToolkit version 3.0 milestone Oct 11, 2024
@jchate6 jchate6 moved this from Triage to Backlog in TOM Toolkit Oct 17, 2024
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Labels
bug Something isn't working enhancement New feature or request Epic Overview topic for high level discussion
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Status: Backlog
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