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@ -1113,7 +1113,8 @@ A rough estimation of the required resources for ingestion path:
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* Storage space: less than a byte per data point on average. So, ~260GB is required for storing a month-long insert stream
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of 100K data points per second.
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The actual storage size heavily depends on data randomness (entropy). Higher randomness means higher storage size requirements.
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The actual storage size heavily depends on data randomness (entropy) and the average number of samples per time series.
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Higher randomness means higher storage size requirements. Lower average number of samples per time series means higher storage requirement.
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Read [this article](https://medium.com/faun/victoriametrics-achieving-better-compression-for-time-series-data-than-gorilla-317bc1f95932)
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for details.
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@ -89,6 +89,12 @@ name: <string>
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# By default "prometheus" rule type is used.
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[ type: <string> ]
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# Optional list of label filters applied to every rule's
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# request withing a group. Is compatible only with VM datasource.
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# See more details at https://docs.victoriametrics.com#prometheus-querying-api-enhancements
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extra_filter_labels:
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[ <labelname>: <labelvalue> ... ]
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rules:
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[ - <rule> ... ]
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```
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