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com.google.cloud.metastore.v1
The interfaces provided are listed below, along with usage samples.
DataprocMetastoreClient
Service Description: Configures and manages metastore services. Metastore services are fully managed, highly available, autoscaled, autohealing, 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}
.
Sample for DataprocMetastoreClient:
try (DataprocMetastoreClient dataprocMetastoreClient = DataprocMetastoreClient.create()) {
ServiceName name = ServiceName.of("[PROJECT]", "[LOCATION]", "[SERVICE]");
Service response = dataprocMetastoreClient.getService(name);
}
com.google.cloud.metastore.v1.stub
com.google.cloud.metastore.v1alpha
A client to Dataproc Metastore API
The interfaces provided are listed below, along with usage samples.
DataprocMetastoreClient
Service Description: Configures and manages metastore services. Metastore services are fully managed, highly available, autoscaled, autohealing, 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}
.
Sample for DataprocMetastoreClient:
try (DataprocMetastoreClient dataprocMetastoreClient = DataprocMetastoreClient.create()) {
ServiceName name = ServiceName.of("[PROJECT]", "[LOCATION]", "[SERVICE]");
Service response = dataprocMetastoreClient.getService(name);
}
com.google.cloud.metastore.v1alpha.stub
com.google.cloud.metastore.v1beta
The interfaces provided are listed below, along with usage samples.
DataprocMetastoreClient
Service Description: 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}
.
Sample for DataprocMetastoreClient:
try (DataprocMetastoreClient dataprocMetastoreClient = DataprocMetastoreClient.create()) {
ServiceName name = ServiceName.of("[PROJECT]", "[LOCATION]", "[SERVICE]");
Service response = dataprocMetastoreClient.getService(name);
}