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86 lines
3.6 KiB
HTML
86 lines
3.6 KiB
HTML
<query-editor-row query-ctrl="ctrl" can-collapse="false">
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<div class="gf-form-inline">
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<div class="gf-form gf-form--grow">
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<code-editor content="ctrl.target.rawSql" datasource="ctrl.datasource" on-change="ctrl.panelCtrl.refresh()" data-mode="sqlserver">
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</code-editor>
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</div>
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</div>
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<div class="gf-form-inline">
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<div class="gf-form">
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<label class="gf-form-label query-keyword">Format as</label>
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<div class="gf-form-select-wrapper">
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<select class="gf-form-input gf-size-auto" ng-model="ctrl.target.format" ng-options="f.value as f.text for f in ctrl.formats" ng-change="ctrl.refresh()"></select>
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</div>
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</div>
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<div class="gf-form">
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<label class="gf-form-label query-keyword" ng-click="ctrl.showHelp = !ctrl.showHelp">
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Show Help
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<icon name="'angle-down'" ng-show="ctrl.showHelp" style="margin-top: 3px;"></icon>
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<icon name="'angle-right'" ng-hide="ctrl.showHelp" style="margin-top: 3px;"></icon>
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</label>
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</div>
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<div class="gf-form">
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<label class="gf-form-label query-keyword" ng-click="ctrl.showQueryInspector()">
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Generated SQL
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<icon name="'angle-right'" style="margin-top: 3px;"></icon>
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</label>
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</div>
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<div class="gf-form gf-form--grow">
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<div class="gf-form-label gf-form-label--grow"></div>
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</div>
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</div>
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<div class="gf-form" ng-show="ctrl.showHelp">
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<pre class="gf-form-pre alert alert-info">Time series:
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- return column named time (in UTC), as a unix time stamp or any sql native date data type. You can use the macros below.
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- any other columns returned will be the time point 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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- 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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Table:
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- return any set of columns
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Macros:
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- $__time(column) -> column AS time
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- $__timeEpoch(column) -> DATEDIFF(second, '1970-01-01', 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]) -> CAST(ROUND(DATEDIFF(second, '1970-01-01', column)/300.0, 0) as 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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- $__timeGroupAlias(column, '5m'[, fillvalue]) -> CAST(ROUND(DATEDIFF(second, '1970-01-01', column)/300.0, 0) as bigint)*300 AS [time]
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- $__unixEpochGroup(column,'5m') -> FLOOR(column/300)*300
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- $__unixEpochGroupAlias(column,'5m') -> FLOOR(column/300)*300 AS [time]
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Example of group by and order by with $__timeGroup:
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SELECT
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$__timeGroup(date_time_col, '1h') AS time,
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sum(value) as value
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FROM yourtable
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GROUP BY $__timeGroup(date_time_col, '1h')
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ORDER BY 1
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Or build your own conditionals using these macros which just return the values:
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- $__timeFrom() -> '2017-04-21T05:01:17Z'
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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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</div>
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<div class="gf-form" ng-show="ctrl.lastQueryError">
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<pre class="gf-form-pre alert alert-error">{{ctrl.lastQueryError}}</pre>
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</div>
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</query-editor-row>
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