Difference between revisions of "Fusion Data Store memory requirements"
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(Created page with "Fusion Data Store requires a peak of approximately 6GB of server memory per 50 million observations: 120MB per million observations. Notes: * The balance between series and o...") |
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| − | Fusion Data Store requires a peak of approximately 6GB of server memory per 50 million observations: 120MB per million observations. | + | [[Category:Fusion Registry Configuration]] |
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| + | Fusion Data Store requires a peak of approximately 6GB of server memory per 50 million observations:<br> | ||
| + | '''120MB per million observations.''' | ||
Notes: | Notes: | ||
* The balance between series and observations will also affect memory requirements with datasets where each series has few observations needing additional memory. | * The balance between series and observations will also affect memory requirements with datasets where each series has few observations needing additional memory. | ||
* The figures quoted above are peak memory requirements when updating or replacing existing datasets. Quiescent memory requirements are lower. | * The figures quoted above are peak memory requirements when updating or replacing existing datasets. Quiescent memory requirements are lower. | ||
| − | + | * Services such as Fusion Registry have additional memory requirements which need to be taken into account when sizing deployment platforms such as the volume of stuctural metadata. | |
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Latest revision as of 23:49, 2 November 2025
Fusion Data Store requires a peak of approximately 6GB of server memory per 50 million observations:
120MB per million observations.
Notes:
- The balance between series and observations will also affect memory requirements with datasets where each series has few observations needing additional memory.
- The figures quoted above are peak memory requirements when updating or replacing existing datasets. Quiescent memory requirements are lower.
- Services such as Fusion Registry have additional memory requirements which need to be taken into account when sizing deployment platforms such as the volume of stuctural metadata.
