google-cloud-dataproc-metastore overview (2.1.9)

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 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}.

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

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 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}.

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 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}.

Sample for DataprocMetastoreClient:


 try (DataprocMetastoreClient dataprocMetastoreClient = DataprocMetastoreClient.create()) {
   ServiceName name = ServiceName.of("[PROJECT]", "[LOCATION]", "[SERVICE]");
   Service response = dataprocMetastoreClient.getService(name);
 }

com.google.cloud.metastore.v1beta.stub