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Elasticsearch: Enable full range log volume histogram (#41202)

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* Rename "Logs volume" labels to "Log volume"

Code references are kept intact as there's a lot of them, it could be renamed in a separate PR just with renaming

* Add log level docs

* Remove feature flag to enable log volume by default

* Update error message

* Update docs

* Fix unit test

* Fix unit test

Queries are now run automatically

* Add extra param for Loki API

* Remove "Load volume" button

* Update documentation about log volume

* Move comment

* Make reload button more accessible

* Update docs/sources/explore/logs-integration.md

Co-authored-by: achatterjee-grafana <70489351+achatterjee-grafana@users.noreply.github.com>

* Hide full range log volume for Loki behind the feature toggle

Co-authored-by: achatterjee-grafana <70489351+achatterjee-grafana@users.noreply.github.com>
This commit is contained in:
Piotr Jamróz
2021-11-10 11:20:30 +01:00
committed by GitHub
co-authored by achatterjee-grafana
parent c96c92d712
commit 7d2e9aa979
16 changed files with 120 additions and 126 deletions
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docs/sources/datasources/loki.md
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@@ -66,7 +66,7 @@ You can use the Loki query editor to create log and metric queries.
### Log browser
With Loki log browser you can easily navigate trough your list of labels and values and construct the query of your choice. Log browser has multi-step selection:
With Loki log browser you can easily navigate through your list of labels and values and construct the query of your choice. Log browser has multi-step selection:
1. Choose the labels you would like to consider for your search.
2. Pick the values for selected labels. Log browser supports facetting and therefore it shows you only possible label combinations.
docs/sources/explore/logs-integration.md
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@@ -21,7 +21,11 @@ During an infrastructure monitoring and incident response, you can dig deeper in
### Logs visualization
Results of log queries are shown as histograms in the graph and individual logs are displayed below. If the data source does not send histogram data for the requested time range, the logs model computes a time series based on the log row counts bucketed by an automatically calculated time interval and the start of the histogram is then anchored by the first log row's timestamp from the result. The end of the time series is anchored to the time picker's **To** range.
Results of log queries are shown as histograms in the graph and individual logs are explained in the following sections.
If the data source supports a full range log volume histogram, the graph with log distribution for all entered log queries is shown automatically. This feature is currently supported by Elasticsearch data source.
If the data source does not support loading full range log volume histogram, the logs model computes a time series based on the log row counts bucketed by an automatically calculated time interval, and the first log row's timestamp then anchors the start of the histogram from the result. The end of the time series is anchored to the time picker's **To** range.
#### Log level