API documentation for metastore_v1.services.dataproc_metastore
package.
Classes
DataprocMetastoreAsyncClient
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 Cloudregion
)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}
.
DataprocMetastoreClient
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 Cloudregion
)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}
.
Modules
pagers
API documentation for metastore_v1.services.dataproc_metastore.pagers
module.