diff --git a/generation_config.yaml b/generation_config.yaml index a1d16b4c2..fa78f1fad 100644 --- a/generation_config.yaml +++ b/generation_config.yaml @@ -3,20 +3,20 @@ googleapis_commitish: 6f289d775912966eb0cf04bda91e5e355c998d30 libraries_bom_version: 26.38.0 libraries: - api_shortname: bigquery - name_pretty: "Cloud BigQuery" - product_documentation: "https://cloud.google.com/bigquery" - client_documentation: "https://cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/history" - 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." - issue_tracker: "https://issuetracker.google.com/savedsearches/559654" - release_level: "stable" - language: "java" - repo: "googleapis/java-bigquery" - repo_short: "java-bigquery" - distribution_name: "com.google.cloud:google-cloud-bigquery" - codeowner_team: "@googleapis/api-bigquery" - api_id: "bigquery.googleapis.com" - library_type: "GAPIC_MANUAL" + name_pretty: Cloud BigQuery + product_documentation: https://cloud.google.com/bigquery + client_documentation: https://cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/history + 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. + issue_tracker: https://issuetracker.google.com/savedsearches/559654 + release_level: stable + language: java + repo: googleapis/java-bigquery + repo_short: java-bigquery + distribution_name: com.google.cloud:google-cloud-bigquery + codeowner_team: @googleapis/api-bigquery + api_id: bigquery.googleapis.com + library_type: GAPIC_MANUAL requires_billing: true - recommended_package: "com.google.cloud.bigquery" + recommended_package: com.google.cloud.bigquery GAPICs: - proto_path: google/api #we use a dummy path to produce a no-op