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@@ -138,9 +138,9 @@
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<pre class="gf-form-pre alert alert-info">Time series:
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- return column named <i>time</i> (UTC in seconds or timestamp)
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- return column(s) with numeric datatype as values
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-Optional:
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- - return column named <i>metric</i> to represent the series name.
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- - If multiple value columns are returned the metric column is used as prefix.
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+Optional:
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+ - return column named <i>metric</i> to represent the series name.
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+ - If multiple value columns are returned the metric column is used as prefix.
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- If no column named metric is found the column name of the value column is used as series name
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Resultsets of time series queries need to be sorted by time.
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@@ -153,6 +153,7 @@ Macros:
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- $__timeEpoch -> extract(epoch from column) as "time"
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- $__timeFilter(column) -> column BETWEEN '2017-04-21T05:01:17Z' AND '2017-04-21T05:01:17Z'
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- $__unixEpochFilter(column) -> column >= 1492750877 AND column <= 1492750877
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+- $__unixEpochNanoFilter(column) -> column >= 1494410783152415214 AND column <= 1494497183142514872
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- $__timeGroup(column,'5m'[, fillvalue]) -> (extract(epoch from column)/300)::bigint*300
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by setting fillvalue grafana will fill in missing values according to the interval
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fillvalue can be either a literal value, NULL or previous; previous will fill in the previous seen value or NULL if none has been seen yet
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@@ -173,6 +174,8 @@ Or build your own conditionals using these macros which just return the values:
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- $__timeTo() -> '2017-04-21T05:01:17Z'
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- $__unixEpochFrom() -> 1492750877
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- $__unixEpochTo() -> 1492750877
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+- $__unixEpochNanoFrom() -> 1494410783152415214
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+- $__unixEpochNanoTo() -> 1494497183142514872
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</pre>
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</div>
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