Open
Description
Steps to reproduce:
You will need:
- Data which undergoes first a pivot() operation to make into columns, and then a group() operation whereby it's grouped by two of those columns e.g.
|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
|> group(columns: ["_cycle","_step"], mode:"by")
- When viewing the raw output this apparently works correctly. There are separate tables (in my case 117), one for each unique combination of "_cycle" and "_step"
- This yields the following data
2020-12-17-09-49_chronograf_data.xlsx - The issue comes when charting the output
Expected behavior:
When charting the output I expect that lines representing each separate table of data are:
- unconnected (i.e. there is no line connected data from different tables)
- unique in colour
I also expect to have the same number of lines as I have tables. One line for each table
Actual behavior:
What you actually get is
- a separate colour for each _cycle but not for each ["_cycle","_step"] combination that the tables represent
- line joins between certain tables. Interestingly there are only joins between lines for tables where they have reversed tags. So the line for table '#'31 (_cycle 32, _step 36) is joined to the line for table '#'97 (_cycle 36, _step 32)
- this joining of similar tables means that there are significantly less lines than tables
Environment info:
InfluxDB version: InfluxDB Cloud 2.0