[GitHub] [airflow] mik-laj edited a comment on issue #8300: No way to create a Dataflow job with Private IP configuration

[GitBox <gi...@apache.org>]

mik-laj edited a comment on issue #8300:
URL: https://github.com/apache/airflow/issues/8300#issuecomment-618358382


   > Unfortunately, there does not seem to be any documentation for this parameter that is being used https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment. Potentially this is a bug only in their docs?
   
   Truth. Documentation is not updated. This object accepts the following parameters.
   
   - `additionalExperiments`
   - `additionalUserLabels`
   - `bypassTempDirValidation`
   - `ipConfiguration`
   - `kmsKeyName`
   - `machineType`
   - `maxWorkers`
   - `network`
   - `numWorkers`
   - `serviceAccountEmail`
   - `subnetwork`
   - `tempLocation`
   - `workerRegion`
   - `workerZone`
   - `zone`
   
   You can configure private IP via ``ipConfiguration`` parameter.
   
   
   > **`ipConfiguration`**
   > 
   > Configuration for VM IPs.
   > 
   > Type: string
   > 
   > The following values are accepted.
   > 
   > | Value                                       |  Description                                                          |
   > |-----------------------------|-----------------------------------------------|
   > |`WORKER_IP_UNSPECIFIED` | The configuration is unknown, or unspecified. |
   > |`WORKER_IP_PUBLIC`           | Workers should have public IP addresses.        |
   > |`WORKER_IP_PRIVATE`          | Workers should have private IP addresses.      |
   > 
   
   I will report problems with the documentation so that it is updated.


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