Update impact tag and docs for bqetl_search_terms_daily (#2593)

* Update impact tag and docs for bqetl_search_terms_daily

* Line length
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Jeff Klukas 2022-01-10 09:24:49 -05:00 коммит произвёл GitHub
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@ -592,9 +592,16 @@ bqetl_search_terms_daily:
start_date: '2021-09-20'
description: |
Derived tables on top of search terms data.
Note that the task for populating `suggest_impression_sanitized_v2` is
particularly important because the source unsanitized dataset has only
a 2-day retention period, so errors fairly quickly become unrecoverable
and can impact reporting to partners. If this task errors out, it could
indicate trouble with an upstream task that runs in a restricted project
outside of Airflow. Contact `jklukas` and/or `jbuck`.
schedule_interval: 0 3 * * *
tags:
- impact/tier_3
- impact/tier_1
bqetl_app_store_connect:
schedule_interval: 0 20 * * *

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@ -14,6 +14,13 @@ Built from bigquery-etl repo, [`dags/bqetl_search_terms_daily.py`](https://githu
Derived tables on top of search terms data.
Note that the task for populating `suggest_impression_sanitized_v2` is
particularly important because the source unsanitized dataset has only
a 2-day retention period, so errors fairly quickly become unrecoverable
and can impact reporting to partners. If this task errors out, it could
indicate trouble with an upstream task that runs in a restricted project
outside of Airflow. Contact `jklukas` and/or `jbuck`.
#### Owner
jklukas@mozilla.com
@ -36,7 +43,7 @@ default_args = {
"retries": 2,
}
tags = ["impact/tier_3", "repo/bigquery-etl"]
tags = ["impact/tier_1", "repo/bigquery-etl"]
with DAG(
"bqetl_search_terms_daily",