google-cloud-dataproc-metastore overview (2.5.0)

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:

   
 // This snippet has been automatically generated and should be regarded as a code template only. 
  
 // It will require modifications to work: 
  
 // - It may require correct/in-range values for request initialization. 
  
 // - It may require specifying regional endpoints when creating the service client as shown in 
  
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library 
  
 try 
  
 ( 
 DataprocMetastoreClient 
  
 dataprocMetastoreClient 
  
 = 
  
 DataprocMetastoreClient 
 . 
 create 
 ()) 
  
 { 
  
 ServiceName 
  
 name 
  
 = 
  
 ServiceName 
 . 
 of 
 ( 
 "[PROJECT]" 
 , 
  
 "[LOCATION]" 
 , 
  
 "[SERVICE]" 
 ); 
  
 Service 
  
 response 
  
 = 
  
 dataprocMetastoreClient 
 . 
 getService 
 ( 
 name 
 ); 
  
 } 
  
 

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 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:

   
 // This snippet has been automatically generated and should be regarded as a code template only. 
  
 // It will require modifications to work: 
  
 // - It may require correct/in-range values for request initialization. 
  
 // - It may require specifying regional endpoints when creating the service client as shown in 
  
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library 
  
 try 
  
 ( 
 DataprocMetastoreClient 
  
 dataprocMetastoreClient 
  
 = 
  
 DataprocMetastoreClient 
 . 
 create 
 ()) 
  
 { 
  
 ServiceName 
  
 name 
  
 = 
  
 ServiceName 
 . 
 of 
 ( 
 "[PROJECT]" 
 , 
  
 "[LOCATION]" 
 , 
  
 "[SERVICE]" 
 ); 
  
 Service 
  
 response 
  
 = 
  
 dataprocMetastoreClient 
 . 
 getService 
 ( 
 name 
 ); 
  
 } 
  
 

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:

   
 // This snippet has been automatically generated and should be regarded as a code template only. 
  
 // It will require modifications to work: 
  
 // - It may require correct/in-range values for request initialization. 
  
 // - It may require specifying regional endpoints when creating the service client as shown in 
  
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library 
  
 try 
  
 ( 
 DataprocMetastoreClient 
  
 dataprocMetastoreClient 
  
 = 
  
 DataprocMetastoreClient 
 . 
 create 
 ()) 
  
 { 
  
 ServiceName 
  
 name 
  
 = 
  
 ServiceName 
 . 
 of 
 ( 
 "[PROJECT]" 
 , 
  
 "[LOCATION]" 
 , 
  
 "[SERVICE]" 
 ); 
  
 Service 
  
 response 
  
 = 
  
 dataprocMetastoreClient 
 . 
 getService 
 ( 
 name 
 ); 
  
 }