[GitHub] [apisix] shuaijinchao edited a comment on issue #5474: proposal: support google cloud logging service plugin

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

shuaijinchao edited a comment on issue #5474:
URL: https://github.com/apache/apisix/issues/5474#issuecomment-965962436


   Configuration
   ----
   
   ```json
   {
       "google_auth_config": {
           "private_key": "***"
           "client_email": "***"
           "project_id": "***"
           "token_uri": "***"
       },
       "google_auth_file": "/path/to/google-service-account.json",
       "resource": {
           "type": "global"
       },
       "log_id": "cloudresourcemanager.googleapis.com%2Factivity",
       "batch_max_size": 200,
       "batch_max_size": 10,
   }
   ```
   
   - `google_auth_config`              the google service account config（Semi-optional, one of `google_auth_config` or `google_auth_file` must be configured）
   - `google_auth_config.private_key`  the private key parameters of the Google service account
   - `google_auth_config.client_email` the client email parameters of the Google service account
   - `google_auth_config.project_id`    the project id parameters of the Google service account
   - `google_auth_config.token_uri`    the token uri parameters of the Google service account
   - `google_auth_file`                path to the google service account json file（Semi-optional, one of `google_auth_config` or `google_auth_file` must be configured）
   - `resource`                        the Google monitor resource, refer to: https://cloud.google.com/logging/docs/reference/v2/rest/v2/MonitoredResource
   - `log_id`                          google logging id, refer to: https://cloud.google.com/logging/docs/reference/v2/rest/v2/LogEntry
   - `batch_max_size`                   batch queue max number of bearer entries
   - `batch_timeout`                   batch queue timeout of bearer entries
   
   
   Details
   ----
   
   1. Obtain and assemble request information in the APISIX Log phase
   2. To interact with google logging service for the first time, you need to request token information. After obtaining the token, it will be cached in the memory of the working node.
   3. After obtaining a valid token, put the request information into the batch processing queue. When the batch processing queue triggers the batch_max_size or batch_timeout threshold, the data in the queue is synchronized to the google cloud logging service
   4. Before each request is sent, check whether the token is about to time out, and refresh the token if it will time out.


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