* expr: Add row limit to SQL expressions
Adds a configurable row limit to SQL expressions to prevent memory issues with large
result sets. The limit is configured via the `sql_expression_row_limit` setting in
the `[expressions]` section of grafana.ini, with a default of 100,000 rows.
The limit is enforced by checking the total number of rows across all input tables
before executing the SQL query. If the total exceeds the limit, the query fails
with an error message indicating the limit was exceeded.
* revert addition of newline
* Switch to table-driven tests
* Remove single-frame test-cases.
We only need to test for the multi frame case. Single frame is a subset
of the multi-frame case
* Add helper function
Simplify the way tests are set up and written
* Support convention, that limit: 0 is no limit
* Set the row-limit in one place only
* Update default limit to 20k rows
As per some discussion here:
https://raintank-corp.slack.com/archives/C071A5XCFST/p1741611647001369?thread_ts=1740047619.804869&cid=C071A5XCFST
* Test row-limit is applied from config
Make sure we protect this from regressions
This is perhaps a brittle test, somewhat coupled to the code here. But
it's good enough to prevent regressions at least.
* Add public documentation for the limit
* Limit total number of cells instead of rows
* Use named-return for totalRows
As @kylebrandt requested during review of #101700
* Leave DF cells as zero values during limits tests
When testing the cell limit we don't interact with the cell values at
all, so we leave them at their zero values both to speed up tests, and
to simplify and clarify that their values aren't used.
* Set SQLCmd limit at object creation - don't mutate
* Test that SQL node receives limit when built
And that it receives it from the Grafana config
* Improve TODO message for new Expression Parser
* Fix failing test by always creating config on the Service
The remote write path differs based on whether the data source is actually
Prometheus, Mimir, Cortex, or an older version of Cortex. We do not want
users to have to specify the path, so this change determines the path as
best it can.
It may be in the future we have to make this configurable per-datasource
to cater for setups where it's impossible to determine the correct path.
* Authz: Test List
* Anonymous case
* Cover rendering
* Authz: Check namespace is set in the context
* Explicitly request a namespace check in the storage functions
* Revert logic
* Add newLanguages feature toggle
* add additional languages behind feature toggle
* be more forgiving of what config looks like in tests
* tweak regex
* put pt-br back
* restore order of pt-BR and cn-Hans, rename EXTRA_LANGUAGES to NEW_LANGUAGES
* stricter test regex
* Add NewProvisionedFolderForm
* Cleanup
* Add folder api
* Register API
* Do not show provisioned badge for instances
* Enable saving
* Show saved alert
* Fixes
* Fix deps
* Cleanup
* Add test
* Add test
* Updates
* Fix test
* Fix import
Alerting: Include time range in templated dashboard and panel urls
Time range:
from=Alert.StartsAt-1hr
Firing Alerts: to=Current Timestamp
Resolved Alerts: to=Alert.EndsAt
What is this feature?
Adds target datasource UID to the recording rules so that they write to the same datasource used for alerting rule queries after the import.
Why do we need this feature?
Target datasourse support was added in #101678, and under a feature flag grafanaManagedRecordingRulesDatasources (#101778).
This PR makes the importing process:
Check if the import contains recording rules
Verify both recording rules and the grafanaManagedRecordingRulesDatasources feature flag are enabled
If either check fails, return an error
If both checks pass, create recording rules with the provided datasource UID set as both the query and target datasource
* WIP adding custom analyzer so we can do substring search efficiently
* Adding unit tests for title search
* formatting
* adds more title search unit tests
* organize helpers
* fixes issue caused by having two title mappings
* Removes camelcase token filter since it prevents you from searching for a substring of chars and numbers. Adds regression test.
* adds back mapping for title_phrase
* use simple analyzer for input query string so it doesn't filter out english stop words
* ran bleve tests, table snapshots updated
* ignore linter for "unused" test functions. They are very helpful for troubleshooting search. Keeping them.
* only log total hits and query cost if result not nil
* fixes failing test - one more field because there are two title mappings now
* fix test
* fixes test - only take first item when its the title
* Adds separate internal field for title ngram mapping.
When searching with a query, results are sorted by score desc.
When searching without a query, results are sorted by title desc.
Adjusts ngram max to be 10.
Text queries are a disjunction of an exact match, phrase match, and a match. Boosted to have priority in that order.
Adds more unit tests for searching.
* linter
* fix test
* ran tests - generated new test dash json
* sort by title phrase instead of title
* fix test - not relying on /apis/dashboard/search to apply title sorting anymore