Aktuelle Version vom 3. Februar 2022, 08:52 Uhr

The following downsampling examples calculates every hour the mean value (for an two hour window) of every series and writes in a new Influx Database respectively Influx bucket.

Flux (Tasks) - InfluxDB 2.x

Flux is InfluxData’s functional data scripting language designed for querying, analyzing, and acting on data. Beginning with InfluxDB 1.8.0, Flux is available for production use along side InfluxQL.

option task = {name: "<TASK_NAME>", every: 1h}
 
data = from(bucket: "<SOURCE_BUCKET>")
         |> range(start: -duration(v: int(v: task.every) * 2))
         |> filter(fn: (r) =>
                 (r._measurement =~ /.*/))
 
data
         |> aggregateWindow(fn: mean, every: 1h)
         |> filter(fn: (r) =>
                 (exists r._value))
         |> to(bucket: "<DESTINATION_BUCKET>", org: "<YOUR_INFLUX_ORGANISATION>")

More information's about "Flux Tasks": https://docs.influxdata.com/influxdb/v2.0/process-data/common-tasks/downsample-data/#example-downsampling-task-script

InfluxQL (Continuous Queries) - InfluxDB 1.x

InfluxQL is an SQL-like query language for interacting with InfluxDB. It has been crafted to feel familiar to those coming from other SQL or SQL-like environments while also providing features specific to storing and analyzing time series data. However InfluxQL is not SQL and lacks support for more advanced operations like UNION, JOIN and HAVING that SQL power-users are accustomed to. This functionality is available with Flux.

CREATE CONTINUOUS QUERY <CONTINUOUS_QUERY_NAME> ON <INFLUXDB_NAME> 
BEGIN 
  SELECT mean(*) 
  INTO <INFLUXDB_NAME>.<DESTINATION_RETENTION_POLICY_NAME>.:MEASUREMENT 
  FROM <SOURCE_INFLUXDB_NAME>.<SOURCE_RETENTION_POLICY_NAME>./.*/ 
  GROUP BY time(1h), * 
END

More information's about "Continuous Queries": https://docs.influxdata.com/influxdb/v1.8/query_language/continuous_queries/

Example calculation of total Metric-points per bucket

For example we are writting 200 Metric-points per second, this means:

• ~ 12'000 Metric-points per minute
• ~ 720'000 Metric-points per hour
• ~ 17'000'000 Metric-points per day
• ~ 518'000'000 Metric-points per month

Assumption we have following Buckets (Influx databases):

red = number of Metric-points, green = number of series, blue = total Metric-points

Downsampling Errors

Unsupported aggregate column type string

Cause

Your downsampling tasks are failing with the error message Unsupported aggregate column type string. This is because you have some _value with strings in it. InfluxDB cannot aggregate on values with strings or on datatype string.

Workaround

• Find the measurements with strings in "_value" with following search query:

from(bucket: "<YOUR_BUCKET>")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r._value =~ /\D/)
  |> group(columns: ["_measurement"])

• Filter out these measurements in your InfluxDB task by adding following filter statement:

...
  |> filter(fn: (r) => r._measurement != "<MEASUREMENTS_WITH_STRINGS>")
...

Solution

Unfortunately until now InfluxDB 2.x offers no solution for this.