DataqueryBuilder🔗
Constructor🔗
Methods🔗
build🔗
Builds the object.
adhocFilters🔗
Additional Ad-hoc filters that take precedence over Scope on conflict.
datasource🔗
The datasource
editorMode🔗
what we should show in the editor
Possible enum values:
"builder""code"
exemplar🔗
Execute an additional query to identify interesting raw samples relevant for the given expr
expr🔗
The actual expression/query that will be evaluated by Prometheus
format🔗
The response format
Possible enum values:
"time_series""table""heatmap"
groupByKeys🔗
Group By parameters to apply to aggregate expressions in the query
hide🔗
true if query is disabled (ie should not be returned to the dashboard)
NOTE: this does not always imply that the query should not be executed since
the results from a hidden query may be used as the input to other queries (SSE etc)
instant🔗
Returns only the latest value that Prometheus has scraped for the requested time series
interval🔗
An additional lower limit for the step parameter of the Prometheus query and for the
$__interval and $__rate_interval variables.
intervalFactor🔗
Used to specify how many times to divide max data points by. We use max data points under query options
See https://github.com/grafana/grafana/issues/48081
Deprecated: use interval
intervalMs🔗
Interval is the suggested duration between time points in a time series query.
NOTE: the values for intervalMs is not saved in the query model. It is typically calculated
from the interval required to fill a pixels in the visualization
legendFormat🔗
Series name override or template. Ex. {{hostname}} will be replaced with label value for hostname
maxDataPoints🔗
MaxDataPoints is the maximum number of data points that should be returned from a time series query.
NOTE: the values for maxDataPoints is not saved in the query model. It is typically calculated
from the number of pixels visible in a visualization
queryType🔗
QueryType is an optional identifier for the type of query.
It can be used to distinguish different types of queries.
range🔗
Returns a Range vector, comprised of a set of time series containing a range of data points over time for each time series
rangeAndInstant🔗
refId🔗
RefID is the unique identifier of the query, set by the frontend call.
resultAssertions🔗
Optionally define expected query result behavior
scopes🔗
A set of filters applied to apply to the query
timeRange🔗
TimeRange represents the query range
NOTE: unlike generic /ds/query, we can now send explicit time values in each query
NOTE: the values for timeRange are not saved in a dashboard, they are constructed on the fly