diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 6763f258c..c7478150e 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -4,8 +4,8 @@ # For syntax help see: # https://help.github.com/en/github/creating-cloning-and-archiving-repositories/about-code-owners#codeowners-syntax -# The @googleapis/api-bigquery is the default owner for changes in this repo -* @googleapis/api-bigquery @googleapis/yoshi-python +# The @googleapis/python-core-client-libraries is the default owner for changes in this repo +* @googleapis/python-core-client-libraries @googleapis/yoshi-python # The python-samples-reviewers team is the default owner for samples changes -/samples/ @googleapis/api-bigquery @googleapis/python-samples-owners @googleapis/yoshi-python +/samples/ @googleapis/python-core-client-libraries @googleapis/python-samples-owners @googleapis/yoshi-python diff --git a/.github/blunderbuss.yml b/.github/blunderbuss.yml index 5b7383dc7..ff168399d 100644 --- a/.github/blunderbuss.yml +++ b/.github/blunderbuss.yml @@ -4,14 +4,14 @@ # Note: This file is autogenerated. To make changes to the assignee # team, please update `codeowner_team` in `.repo-metadata.json`. assign_issues: - - googleapis/api-bigquery + - googleapis/python-core-client-libraries assign_issues_by: - labels: - "samples" to: - googleapis/python-samples-reviewers - - googleapis/api-bigquery + - googleapis/python-core-client-libraries assign_prs: - - googleapis/api-bigquery + - googleapis/python-core-client-libraries diff --git a/.repo-metadata.json b/.repo-metadata.json index d1be7ec4d..82a1684ca 100644 --- a/.repo-metadata.json +++ b/.repo-metadata.json @@ -12,7 +12,7 @@ "api_id": "bigquery.googleapis.com", "requires_billing": false, "default_version": "v2", - "codeowner_team": "@googleapis/api-bigquery", + "codeowner_team": "@googleapis/python-core-client-libraries", "api_shortname": "bigquery", "api_description": "is a fully managed, NoOps, low cost data analytics service.\nData can be streamed into BigQuery at millions of rows per second to enable real-time analysis.\nWith BigQuery you can easily deploy Petabyte-scale Databases." }