InfluxDB Flux query to display data

[YeomansIII]

I am trying to display a geo track using this plugin. My InfluxDB data is stored on InfluxDB 2.0 and I am querying using a Flux query in Grafana. My data contains a lat and lon field. What is the proper way of displaying this data on this plugin map?

I have tried many different queries and transformations, I am currently using this, which still doesn't display any data.

Query A:

from(bucket: "geodata")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) =>
    r._measurement == "geo" and
    r._field == "lat" and
    r.source == "12345" and
    r.userid == "416481000"
  )
  |> set(key: "_field", value: "latitude")

Query B:

from(bucket: "geodata")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) =>
    r._measurement == "geo" and
    r._field == "lon" and
    r.source == "12345" and
    r.userid == "416481000"
  )
  |> set(key: "_field", value: "longitude")

This results in a Grafana data table with columns Time, latitude, and longitude.

[pR0Ps]

This comment might be helpful to you: https://github.com/pR0Ps/grafana-trackmap-panel/issues/3#issuecomment-384655784 . I don't have any experience with Flux queries so I don't have any direct advice, sorry. If you end up figuring it out, let me know and I'll add an example to the readme for others.

[MatinF]

I'm using a query as below, which works great:

from(bucket: "test-bucket-new")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r["_measurement"] == "958D2219")
  |> filter(fn: (r) => r["_field"] == "Latitude" or r["_field"] == "Longitude")
  |> aggregateWindow(every: v.windowPeriod, fn: median)
  |> yield(name: "median")

[etwobben]

I have tried the above query, but it doesn't render anything. Any pointers what could be the issue? Or any updates about the support for flux.

[MatinF]

Note that my query is rather specific to the way my Influx data is structured, so it should be viewed as an example only

[etwobben]

Ofcourse I modified it to my needs. But I have a very simple dataset I use for this. It has 2 fields (latitude and longitude) and 2 tags (geohash and source) within one measurement (position). So your query (changing bucket and measurement) for this should work right?

[MatinF]

I'm not sure what might be the reason - just shared my example in case it might be helpful for some. I have it working just fine with Flux on latest Grafana and using InfluxDB 1.8 or InfluxDB 2.0 (cloud starter) editions.

[YeomansIII]

@etwobben The two queries I posted in my initial question actually ended up working. The "set" function was only required to change the name of the columns from lat -> latitude, etc.

Try using two separate queries for lat and lon.

[raul-parada]

How to show this in a map on InfluxDB 2.0?

[MatinF]

You can see an example in our playground (see the maps queries): https://grafana.csselectronics.stellarhosted.com/d/hXdWa0VMk/css-playground

Done using Flux query language in InfluxDB 2.0 cloud version.

[raul-parada]

@MatinF Can I see the code? (no confidential data)

[MatinF]

Hi again,

The query code is available if you click the maps panel. Not sure what other code you're looking for?

best,

[marcel4042]

Hi there! I have more or less a similar problem. The "lat" and "lon" is in one field as a string and I split this with my Influx query. The result seems OK but the map is showing nothing neither an error message.

Here is my query: import "strings" from(bucket: "source") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "LOCATION") |> filter(fn: (r) => r["_field"] == "value") |> map (fn: (r) => ({ r with latitude: float (v: strings.split(v: r._value, t: ",")[0]), longitude: float (v: strings.split(v: r._value, t: ",")[1]) }))

The data / result: _time | _value | latitude | longitude 2022-03-11T18:17:01.329Z | 49.4692537xxxxx,11.056303982xxxxx | 49.469253797xxxxx | 11.0563039xxxxx

Any thoughts? Thanks in advance! Best :-)

[blurpiflurp]

I'm using a query as below, which works great:

from(bucket: "test-bucket-new")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r["_measurement"] == "958D2219")
  |> filter(fn: (r) => r["_field"] == "Latitude" or r["_field"] == "Longitude")
  |> aggregateWindow(every: v.windowPeriod, fn: median)
  |> yield(name: "median")

This worked great for me thanks! The only thing I've added was a filter for which device I want to display. from(bucket: "myBucket") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "findmy") |> filter(fn: (r) => r["name"] == "${Device}") |> filter(fn: (r) => r["_field"] == "latitude" or r["_field"] == "longitude") |> aggregateWindow(every: v.windowPeriod, fn: median) |> yield(name: "median")

I'm pulling in data using telegraf / starlark parsing of JSON files. new_metric.tags["serialnumber"] = group["serialNumber"] new_metric.fields["longitude"] = group["location"]["longitude"] new_metric.fields["altitude"] = group["location"]["altitude"] new_metric.fields["latitude"] = group["location"]["latitude"] new_metric.fields["positiontype"] = group["location"]["positionType"] new_metric.fields["address"] = group["address"]["mapItemFullAddress"] new_metric.fields["isold"] = group["location"]["isOld"] new_metric.tags["name"] = group["name"] new_metric.time = int(group["location"]["timeStamp"]*1000000)

So my measurements looks like this _time, name, serialnumber, address, altitude, isOld, latitude, longitude, positionType

[Fr4nc3sc0NL]

If anyone is working with the sample data provided by Influx, I had to drop the columns not expected by TrackMap. The following works for me with the birds migration dataset:

from(bucket: "Tutorial")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r["_measurement"] == "migration")
  |> filter(fn: (r) => r["_field"] == "lat" or r["_field"] == "lon")
  |> filter(fn: (r) => r["id"] == "91761A")
  |> drop(columns: ["s2_cell_id"])
  |> aggregateWindow(every: v.windowPeriod, fn: median)
  |> yield(name: "median")

[ignamendi21]

THIS WORKS:

from(bucket: "ANDROMAXA") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "navigation.position") |> filter(fn: (r) => r["source"] == "Navi.1") |> filter(fn: (r) => r["_field"] == "lat" or r["_field"] == "lon") |> aggregateWindow(every: v.windowPeriod, fn: median) |> yield(name: "median")

HOWEVER, THE POINTER NOT. I navigate in the other grafs but the pointer is not appearing and not movin through the track.. Anyone knows why?