Package dataproc_metastore (1.1.2)

Configures and manages metastore services. Metastore services are fully managed, highly available, auto-scaled, auto-healing, OSS-native deployments of technical metadata management software. Each metastore service exposes a network endpoint through which metadata queries are served. Metadata queries can originate from a variety of sources, including Apache Hive, Apache Presto, and Apache Spark.

The Dataproc Metastore API defines the following resource model:

• The service works with a collection of Google Cloud projects, named: /projects/*

• Each project has a collection of available locations, named: /locations/* (a location must refer to a Google Cloud region)

• Each location has a collection of services, named: /services/*

• Dataproc Metastore services are resources with names of the form:

  /projects/{project_number}/locations/{location_id}/services/{service_id}.

Configures and manages metastore services. Metastore services are fully managed, highly available, auto-scaled, auto-healing, OSS-native deployments of technical metadata management software. Each metastore service exposes a network endpoint through which metadata queries are served. Metadata queries can originate from a variety of sources, including Apache Hive, Apache Presto, and Apache Spark.

The Dataproc Metastore API defines the following resource model:

• The service works with a collection of Google Cloud projects, named: /projects/*

• Each project has a collection of available locations, named: /locations/* (a location must refer to a Google Cloud region)

• Each location has a collection of services, named: /services/*

• Dataproc Metastore services are resources with names of the form:

  /projects/{project_number}/locations/{location_id}/services/{service_id}.

API documentation for metastore_v1beta.services.dataproc_metastore.pagers module.