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@ -80,9 +80,11 @@ See [these docs](https://docs.victoriametrics.com/FAQ.html#what-is-high-cardinal
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#### Raw samples
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Every unique time series may consist of an arbitrary number of `(value, timestamp)` data points (aka `raw samples`) sorted by `timestamp`.
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VictoriaMetrics stores all the `values` as [float64](https://en.wikipedia.org/wiki/Double-precision_floating-point_format) values
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VictoriaMetrics stores all the `values` as [float64](https://en.wikipedia.org/wiki/Double-precision_floating-point_format)
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with [extra compression](https://faun.pub/victoriametrics-achieving-better-compression-for-time-series-data-than-gorilla-317bc1f95932) applied.
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This guarantees precision correctness for values with up to 12 significant decimal digits ([-2^54 ... 2^54-1]).
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This allows storing precise integer values with up to 12 decimal digits and any floating-point values with up to 12 significant decimal digits.
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If the value has more than 12 significant decimal digits, then the less significant digits can be lost when storing them in VictoriaMetrics.
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The `timestamp` is a [Unix timestamp](https://en.wikipedia.org/wiki/Unix_time) with millisecond precision.
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Below is an example of a single raw sample
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