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Update API docs for Error Tracking monitors (#2088)
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Co-authored-by: ci.datadog-api-spec <[email protected]>
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api-clients-generation-pipeline[bot] and ci.datadog-api-spec authored Nov 6, 2024
1 parent 8360a87 commit 75785fe
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8 changes: 4 additions & 4 deletions .apigentools-info
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16 changes: 11 additions & 5 deletions .generator/schemas/v1/openapi.yaml
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Expand Up @@ -28985,21 +28985,27 @@ paths:
##### Error Tracking Alert Query


Example(RUM): `error-tracking-rum(query).rollup(rollup_method[, measure]).last(time_window)
operator #`
"New issue" example: `error-tracking(query).source(issue_source).new().rollup(rollup_method[,
measure]).by(group_by).last(time_window) operator #`

Example(APM Traces): `error-tracking-traces(query).rollup(rollup_method[,
measure]).last(time_window) operator #`
"High impact issue" example: `error-tracking(query).source(issue_source).impact().rollup(rollup_method[,
measure]).by(group_by).last(time_window) operator #`


- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).

- `issue_source` The issue source - supports `all`, `browser`, `mobile` and
`backend` and defaults to `all` if omitted.

- `rollup_method` The stats roll-up method - supports `count`, `avg`, and
`cardinality`.
`cardinality` and defaults to `count` if omitted.

- `measure` For `avg` and cardinality `rollup_method` - specify the measure
or the facet name you want to use.

- `group by` Comma-separated list of attributes to group by - should contain
at least `issue.id`.

- `time_window` #m (between 1 and 2880), #h (between 1 and 48).

- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.
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8 changes: 5 additions & 3 deletions lib/datadog_api_client/v1/api/monitors_api.rb
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Expand Up @@ -260,12 +260,14 @@ def create_monitor(body, opts = {})
#
# ##### Error Tracking Alert Query
#
# Example(RUM): `error-tracking-rum(query).rollup(rollup_method[, measure]).last(time_window) operator #`
# Example(APM Traces): `error-tracking-traces(query).rollup(rollup_method[, measure]).last(time_window) operator #`
# "New issue" example: `error-tracking(query).source(issue_source).new().rollup(rollup_method[, measure]).by(group_by).last(time_window) operator #`
# "High impact issue" example: `error-tracking(query).source(issue_source).impact().rollup(rollup_method[, measure]).by(group_by).last(time_window) operator #`
#
# - `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).
# - `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.
# - `issue_source` The issue source - supports `all`, `browser`, `mobile` and `backend` and defaults to `all` if omitted.
# - `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality` and defaults to `count` if omitted.
# - `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.
# - `group by` Comma-separated list of attributes to group by - should contain at least `issue.id`.
# - `time_window` #m (between 1 and 2880), #h (between 1 and 48).
# - `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.
# - `#` an integer or decimal number used to set the threshold.
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