InfluxDB 2.x: Task: Downsampling: Unterschied zwischen den Versionen

Version vom 14. Dezember 2020, 15:15 Uhr

The following downsampling examples calculates the mean value (for an one 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 - 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