32 lines
1.4 KiB
Text
32 lines
1.4 KiB
Text
|
# Sends metrics to Azure Data Explorer
|
||
|
|
[[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"
|