PostgreSQL

[[inputs.postgresql]]
  ## Server address
  # URI format
  # postgres://[datakit[:PASSWORD]]@localhost[/dbname]?sslmode=[disable|verify-ca|verify-full]
  # or simple string
  # host=localhost user=pqgotest password=... sslmode=... dbname=app_production

  address = "postgres://datakit:PASSWORD@localhost/postgres?sslmode=disable"

  ## Ignore databases which are gathered. Do not use with 'databases' option.
  #
  # ignored_databases = ["db1"]

  ## Specify the list of the databases to be gathered. Do not use with the 'ignored_databases' option.
  #
  # databases = ["db1"]

  ## Specify the name used as the "server" tag.
  #
  # outputaddress = "db01"

  ## Collect interval
  # Time unit: "ns", "us", "ms", "s", "m", "h"
  #
  interval = "10s"

  ## Set true to enable election
  #
  election = true

  ## Metric name in metric_exclude_list will not be collected.
  #
  metric_exclude_list = [""]

  ## Relations config
  #
  # The list of relations/tables can be specified to track per-relation metrics. To collect relation
  # relation_name refer to the name of a relation, either relation_name or relation_regex must be set.
  # relation_regex is a regex rule, only takes effect when relation_name is not set.
  # schemas used for filtering, ignore this field when it is empty
  # relkind can be a list of the following options:
  #   r(ordinary table), i(index), S(sequence), t(TOAST table), p(partitioned table),
  #   m(materialized view), c(composite type), f(foreign table)
  #
  # [[inputs.postgresql.relations]]
  # relation_name = "<TABLE_NAME>"
  # relation_regex = "<TABLE_PATTERN>"
  # schemas = ["public"]
  # relkind = ["r", "p"]

  ## Run a custom SQL query and collect corresponding metrics.
  #
  # [[inputs.postgresql.custom_queries]]
  #   sql = '''
  #     select datname,numbackends,blks_read
  #     from pg_stat_database
  #     limit 10
  #   '''
  #   metric = "postgresql_custom_stat"
  #   tags = ["datname" ]
  #   fields = ["numbackends", "blks_read"]
  #   interval = "10s"

  ## Log collection
  #
  # [inputs.postgresql.log]
  # files = []
  # pipeline = "postgresql.p"

  ## Custom tags
  #
  [inputs.postgresql.tags]
  # some_tag = "some_value"
  # more_tag = "some_other_value"
  # ...