feat: update etc/telegraf.conf and etc/telegraf_windows.conf (#10885)
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@ -2877,7 +2877,10 @@
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# ## How many seconds between aggregations
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# # period = 10
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#
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# ## How many top metrics to return
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# ## How many top buckets to return per field
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# ## Every field specified to aggregate over will return k number of results.
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# ## For example, 1 field with k of 10 will return 10 buckets. While 2 fields
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# ## with k of 3 will return 6 buckets.
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# # k = 10
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#
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# ## Over which tags should the aggregation be done. Globs can be specified, in
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@ -2885,7 +2888,11 @@
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# ## empty list is no aggregation over tags is done
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# # group_by = ['*']
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#
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# ## Over which fields are the top k are calculated
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# ## The field(s) to aggregate
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# ## Each field defined is used to create an independent aggregation. Each
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# ## aggregation will return k buckets. If a metric does not have a defined
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# ## field the metric will be dropped from the aggregation. Considering using
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# ## the defaults processor plugin to ensure fields are set if required.
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# # fields = ["value"]
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#
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# ## What aggregation to use. Options: sum, mean, min, max
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@ -2877,7 +2877,10 @@
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# ## How many seconds between aggregations
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# # period = 10
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#
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# ## How many top metrics to return
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# ## How many top buckets to return per field
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# ## Every field specified to aggregate over will return k number of results.
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# ## For example, 1 field with k of 10 will return 10 buckets. While 2 fields
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# ## with k of 3 will return 6 buckets.
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# # k = 10
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#
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# ## Over which tags should the aggregation be done. Globs can be specified, in
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@ -2885,7 +2888,11 @@
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# ## empty list is no aggregation over tags is done
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# # group_by = ['*']
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#
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# ## Over which fields are the top k are calculated
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# ## The field(s) to aggregate
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# ## Each field defined is used to create an independent aggregation. Each
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# ## aggregation will return k buckets. If a metric does not have a defined
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# ## field the metric will be dropped from the aggregation. Considering using
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# ## the defaults processor plugin to ensure fields are set if required.
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# # fields = ["value"]
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#
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# ## What aggregation to use. Options: sum, mean, min, max
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