The goal is to join tables min and max returned by the following query:
data = from(bucket: "my_bucket")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
min = data
|> aggregateWindow(
every: 1d,
fn: min,
column: "_value")
max = data
|> aggregateWindow(
every: 1d,
fn: max,
column: "_value")
The columns of max look like this:
+---------------------------------+
| Columns |
+---------------------------------+
| table MAX |
| _measurement GROUP STRING |
| _field GROUP STRING |
| _value NO GROUP DOUBLE |
| _start GROUP DATETIME:RFC3339 |
| _stop GROUP DATETIME:RFC3339 |
| _time NO GROUP DATETIME:RFC3339 |
| env GROUP STRING |
| path GROUP STRING |
+---------------------------------+
The min table looks the same except the name of the first column. Both tables return data which can be confirmed by running yield(tables:min) or yield(tables:max). The join should be an inner join on columns _measurement, _field, _time, env and path and it should contain both the minimum and the maximum value _value of every window.
When I try to run within influxdb DataExplorer
join(tables: {min: min, max: max}, on: ["_time", "_field", "path", "_measurement", "env"], method: "inner")
I get the following error:
Failed to execute Flux query
When I run the job in Bash via influx query --file ./query.flux -r > ./query.csv; I get the following error:
Error: failed to execute query: 504 Gateway Timeout: unable to decode response content type "text/html; charset=utf-8"
No more logging-output is available to investigate the issue further. Whats wrong with this join?
