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add fillmode "last" to sql datasource

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This adds a new fill mode last (last observation carried forward) for grafana
to the sql datasources. This fill mode will fill in the last seen value in a
series when a timepoint is missing or NULL if no value for that series has
been seen yet.
This commit is contained in:
Sven Klemm
2018-07-30 11:04:04 +02:00
parent 72af8a7044
commit bfc66a7ed0
13 changed files with 136 additions and 20 deletions
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docs/sources/features/datasources/postgres.md
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@ -61,7 +61,9 @@ Macro example | Description
*$__timeFrom()* | Will be replaced by the start of the currently active time selection. For example, *'2017-04-21T05:01:17Z'*
*$__timeTo()* | Will be replaced by the end of the currently active time selection. For example, *'2017-04-21T05:06:17Z'*
*$__timeGroup(dateColumn,'5m')* | Will be replaced by an expression usable in GROUP BY clause. For example, *(extract(epoch from dateColumn)/300)::bigint*300*
*$__timeGroup(dateColumn,'5m', 0)* | Same as above but with a fill parameter so all null values will be converted to the fill value (all null values would be set to zero using this example).
*$__timeGroup(dateColumn,'5m', 0)* | Same as above but with a fill parameter so missing points in that series will be added by grafana and 0 will be used as value.
*$__timeGroup(dateColumn,'5m', NULL)* | Same as above but NULL will be used as value for missing points.
*$__timeGroup(dateColumn,'5m', last)* | Same as above but the last seen value in that series will be used as fill value if no value has been seen yet NULL will be used.
*$__timeGroupAlias(dateColumn,'5m')* | Will be replaced identical to $__timeGroup but with an added column alias (only available in Grafana 5.3+).
*$__unixEpochFilter(dateColumn)* | Will be replaced by a time range filter using the specified column name with times represented as unix timestamp. For example, *dateColumn >= 1494410783 AND dateColumn <= 1494497183*
*$__unixEpochFrom()* | Will be replaced by the start of the currently active time selection as unix timestamp. For example, *1494410783*