Google Cloud PubSub 和 Azure Data Explorer 集成

[[inputs.cloud_pubsub]]
  project = "my-project"
  subscription = "my-subscription"
  data_format = "influx"
  # credentials_file = "path/to/my/creds.json"
  # retry_delay_seconds = 5
  # max_message_len = 1000000
  # max_undelivered_messages = 1000
  # max_extension = 0
  # max_outstanding_messages = 0
  # max_outstanding_bytes = 0
  # max_receiver_go_routines = 0
  # base64_data = false
  # content_encoding = "identity"
  # max_decompression_size = "500MB"

[[outputs.azure_data_explorer]]
  ## The URI property of the Azure Data Explorer resource on Azure
  ## ex: endpoint_url = https://myadxresource.australiasoutheast.kusto.windows.net
  endpoint_url = ""

  ## The Azure Data Explorer database that the metrics will be ingested into.
  ## The plugin will NOT generate this database automatically, it's expected that this database already exists before ingestion.
  ## ex: "exampledatabase"
  database = ""

  ## Timeout for Azure Data Explorer operations
  # timeout = "20s"

  ## Type of metrics grouping used when pushing to Azure Data Explorer.
  ## Default is "TablePerMetric" for one table per different metric.
  ## For more information, please check the plugin README.
  # metrics_grouping_type = "TablePerMetric"

  ## Name of the single table to store all the metrics (Only needed if metrics_grouping_type is "SingleTable").
  # table_name = ""

  ## Creates tables and relevant mapping if set to true(default).
  ## Skips table and mapping creation if set to false, this is useful for running Telegraf with the lowest possible permissions i.e. table ingestor role.
  # create_tables = true

  ##  Ingestion method to use.
  ##  Available options are
  ##    - managed  --  streaming ingestion with fallback to batched ingestion or the "queued" method below
  ##    - queued   --  queue up metrics data and process sequentially
  # ingestion_type = "queued"