* Range splitting: range splitting function
* Range splitting: experiment with 1 hour splits
* Range splitting: reorganize code
* Range splitting: improve code readability and meaning
* Range splitting: add partition limit to prevent infinite loops
* Range splitting: add error handling
* Range splitting: disable for logs queries
* Range splitting: support any arbitrary time splitting + respect original from/to in the partition
* Chore: remove console logs
* Chore: delete unused import
* Range splitting: actually send requests in sequence
* Range splitting: do not split when > 1 query
* Range splitting: combine frames
* Chore: rename function
* split in reverse
* polished reversing
* keep reference to the right frame in the result
* Range splitting: change request state to Streaming
* Range splitting: fix moving only 1 unit of time instead of the provided one
* Chore: change default parameter to timeShift = 1
* Range splitting: do not split for range queqries
* Range splitting: add initial support for log queries
* Range splitting: do not use MutableDataFrame
It has bad performance and it's not required
* Chore: remove unused export
* Query Splitting: move to module
* loki: split: fix off-by-one error (#62966)
loki: split: fix off-by-one loop
* Range splitting: disable for logs volume queries
* Range splitting: combine any number of fields, not just hardcoded 2
* Range splitting: optimize frame-combining function
* Range splitting: further optimize
* Range splitting: combine frame length
* Range splitting: combine stats
* Range splitting: combine stats without assuming the same order
* Query splitting: catch and raise errors
* Range splitting: create feature flag
* Range splitting: implement feature flag
* Range splitting: add unit test for datasource query
* Range splitting: add basic test for runPartitionedQuery
* Range splitting: add unit test for resultLimitReached
* Range splitting: test frame merging
* Chore: fix unit test
---------
Co-authored-by: Sven Grossmann <svennergr@gmail.com>
Co-authored-by: Gábor Farkas <gabor.farkas@gmail.com>
The `rule_groups_rules` metric is currently defined and computed by `State`.
It makes more sense for this metric to be computed off of the configured rule
set, not based on the rule evaluation state. There could be an edge condition
where a rule does not have a state yet, and so is uncounted.
Additionally, we would like this metric (and others), to have a `rule_group`
label, and this is much easier to achieve if the metric is produced from the
`Scheduler` package.
* Remove Result field from AddDataSourceCommand
* Remove DatasourcesPermissionFilterQuery Result
* Remove GetDataSourceQuery Result
* Remove GetDataSourcesByTypeQuery Result
* Remove GetDataSourcesQuery Result
* Remove GetDefaultDataSourceQuery Result
* Remove UpdateDataSourceCommand Result
* Export `StatsCount` function
* Add new statKV each time a bundle is created
* Export bundle count
---------
Co-authored-by: Jo <joao.guerreiro@grafana.com>
* fix(dashboard version service): add DashboardUID to query and responses
The DashboardUID was not populated in the response from Get and ListDashboardVersions. This adds the DashboardUID to the Get query (it was already in List) and populated the DashboardUID in the returned DashboardVersionDTOs.
* change error to warning, apply correct format
* Update pkg/services/ngalert/store/alertmanager.go
Co-authored-by: George Robinson <george.robinson@grafana.com>
* different wording and data
---------
Co-authored-by: George Robinson <george.robinson@grafana.com>
* fetch inherited folder scopes for search v2
* fix error and don't fetch parents for the general folder
* remove feature toggle check and lower log level
* add bundle registry service to avoid dependency cycles
* move user support bundle collector to user service
* move usage stat bundle implementation to usage stats
* add info for background service
* fix remaining imports
* whitespace
* reorganize auth usage stats
* usage stat privilege elevators
* stat count of modified role
* cfg related info
* add authn anon client
* kv store
* ensure anon enabled is collected even if client is not registered
* fix usage stats test
* AuthN: Add HookClient interface
* AuthN: Check if client implement authn.HookClient and call the hook if
it does
* AuthN: Convert refresh token hook into a client hook
* *Create Caching Config interface and OSS impl
*Create front-end facing DS Cache config
*Populate Caching Config on Datasource DTO
*Update OSS wire deps
* fix unit test
* handle query caching TTL override on the frontend
* Make sure the override works with pubdash
* move caching config to the right place in the ds info
* move caching config logic to enterprise index hook
* move queryCachingTTL to pubdash query payload
* Remove from metadata (not needed)
* rename struct and add comment
* remove invalid wire dependency
* manual revert of 395c74b
* fix frontend test
* fix backend test
* fix tests for real this time
* truly fix frontend test
* fix back end unit test for real
