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@ -15,7 +15,7 @@ weight = 4 |
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> New panel only available in Grafana v4.3+ |
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The Heatmap panel allows you to view histograms over time. To fully understand and use this panel you need |
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The Heatmap panel allows you to view histograms over time. To fully understand and use this panel you need to |
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understand what Histograms are and how they are created. Read on below to for a quick introduction to the |
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term Histogram. |
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@ -74,7 +74,7 @@ the time range `1h`. This will make the cells 1h wide on the X-axis. |
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### Pre-bucketed data |
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If you have a data that is already organized into buckets you can use the `Time series buckets` data format. This format |
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requires that your metric query return regular time series and that each time series has a numeric name that represent |
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requires that your metric query returns regular time series and that each time series has a numeric name that represents |
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the upper or lower bound of the interval. |
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There are a number of data sources supporting histogram over time like Elasticsearch (by using a Histogram bucket |
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@ -108,7 +108,7 @@ change with the bucket count. |
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## Raw data vs aggregated |
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If you use the heatmap with regular time series data (not pre-bucketed). Then it's important to keep in mind that your data |
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is often already by aggregated by your time series backend. Most time series queries do not return raw sample data |
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is often already aggregated by your time series backend. Most time series queries do not return raw sample data |
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but include a group by time interval or maxDataPoints limit coupled with an aggregation function (usually average). |
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This all depends on the time range of your query of course. But the important point is to know that the Histogram bucketing |
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