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README.md: update information about vm_rows{type="indexdb"} metric

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The previous information became outdated after v1.28.0, since now each row in the inverted index
can refer to multiple time series.
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Aliaksandr Valialkin 2019-10-31 13:29:14 +02:00
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@ -673,10 +673,7 @@ The most interesting metrics are:
* `vm_cache_entries{type="storage/hour_metric_ids"}` - the number of time series with new data points during the last hour
aka active time series.
* `vm_rows{type="indexdb"}` - the number of rows in inverted index. Each label in each unique time series adds a single
row into the inverted index. An approximate number of time series in the database may be calculated as
`vm_rows{type="indexdb"} / (avg_labels_per_series + 1)`, where `avg_labels_per_series` is the average number of labels
per each time series.
* `vm_rows{type="indexdb"}` - the number of rows in inverted index. High value for this number usually mean high churn rate for time series.
* Sum of `vm_rows{type="storage/big"}` and `vm_rows{type="storage/small"}` - total number of `(timestamp, value)` data points
in the database.
* Sum of all the `vm_cache_size_bytes` metrics - the total size of all the caches in the database.