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Tooltip is not formatted - TimeSeries panel - 9.3.X+ #478
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Hi @Slach , to add more info, I found that on the following Grafana dashboard there is the same behaviour, as the legend values is different than the shown tooltip Note that if you edit the panel and you add a "dummy" transformation like |
My experience has been that the tooltips are correctly formatted on first load, but any change after that causes this issue to occur. |
@Slach , @cjw296 as I supposed, it was a Grafana problem. Note the related issue, as some other DS plugin owner reported it to Grafana @Slach , as it is suggested, a legacy format (Time/Value) is being used, it would be convenient to adapt to the recommended dataframe format Closing this issue. |
@sbengo thanks for sharing your feedback |
Hi @Slach , we have upgraded Grafana to 10.0.3 and I was wrong: the issue has been fixed when the user changes the variables, but for some reason, when the user changes the range time, the panel renders with bad format, as explained on this issue. I think that Grafana team missed that case, as I reproduced it on the play.grafana dashboard: |
@Slach , I have already asked on the original issue: grafana/grafana#69207 (comment) |
@sbengo let's wait when grafana/grafana#74281 will resolve |
Hi @Slach ,
Description:
After upgrading to Grafana 9.3.X, with the latest version of plugin (2.5.3), on TimeSeries panel, the tooltip information is not formated as the legend:
It happens when the user tries to change the timerange or the series changes due to variables/templating.
I have tried to debug a bit and test other Datasources and the problems seems to the way that the Dataframe is built and the current Grafana version is not able to format it...
Apologies for opening this issue here instead of Grafana, but wanted to share with you, as I'm not sure that the Draframe is being built as it should
Tested with:
Note:
Repro case:
Extract the Dataframe
Create new panel using TestDB as Datasource, select RAW Frame and paste the extracted Dataframe:
Validate that the problem is directly related with the current Dataframe spec
Example:
The following Dataframe has been extracted from CH query and modified in order to let you to reproduce the case:
group_column_value = {"serie A"|"serie B"}
The text was updated successfully, but these errors were encountered: