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    Delete a dataset

    Delete a dataset from a project.

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    For detailed documentation that includes this code sample, see the following:

    Code sample

    C#

    Before trying this sample, follow the C# setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery C# API reference documentation .

    To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

      using 
  
  Google.Cloud.BigQuery.V2 
 
 ; 
 using 
  
 System 
 ; 
 public 
  
 class 
  
 BigQueryDeleteDataset 
 { 
  
 public 
  
 void 
  
 DeleteDataset 
 ( 
  
 string 
  
 projectId 
  
 = 
  
 "your-project-id" 
 , 
  
 string 
  
 datasetId 
  
 = 
  
 "your_empty_dataset" 
  
 ) 
  
 { 
  
  BigQueryClient 
 
  
 client 
  
 = 
  
  BigQueryClient 
 
 . 
  Create 
 
 ( 
 projectId 
 ); 
  
 // Delete a dataset that does not contain any tables 
  
 client 
 . 
  DeleteDataset 
 
 ( 
 datasetId 
 : 
  
 datasetId 
 ); 
  
 Console 
 . 
 WriteLine 
 ( 
 $"Dataset {datasetId} deleted." 
 ); 
  
 } 
 }

    Go

    Before trying this sample, follow the Go setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Go API reference documentation .

    To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

      import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "cloud.google.com/go/bigquery" 
 ) 
 // deleteDataset demonstrates the deletion of an empty dataset. 
 func 
  
 deleteDataset 
 ( 
 projectID 
 , 
  
 datasetID 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 // datasetID := "mydataset" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 bigquery 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 projectID 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "bigquery.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 // To recursively delete a dataset and contents, use DeleteWithContents. 
  
 if 
  
 err 
  
 := 
  
 client 
 . 
 Dataset 
 ( 
 datasetID 
 ). 
 Delete 
 ( 
 ctx 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "couldn't delete dataset: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 return 
  
 nil 
 }

    Java

    Before trying this sample, follow the Java setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Java API reference documentation .

    To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

      import 
  
 com.google.cloud.bigquery. BigQuery 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQuery 
. DatasetDeleteOption 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQueryException 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQueryOptions 
 
 ; 
 import 
  
 com.google.cloud.bigquery. DatasetId 
 
 ; 
 public 
  
 class 
 DeleteDataset 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 projectId 
  
 = 
  
 "MY_PROJECT_ID" 
 ; 
  
 String 
  
 datasetName 
  
 = 
  
 "MY_DATASET_NAME" 
 ; 
  
 deleteDataset 
 ( 
 projectId 
 , 
  
 datasetName 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 deleteDataset 
 ( 
 String 
  
 projectId 
 , 
  
 String 
  
 datasetName 
 ) 
  
 { 
  
 try 
  
 { 
  
 // Initialize client that will be used to send requests. This client only needs to be created 
  
 // once, and can be reused for multiple requests. 
  
  BigQuery 
 
  
 bigquery 
  
 = 
  
  BigQueryOptions 
 
 . 
 getDefaultInstance 
 (). 
 getService 
 (); 
  
  DatasetId 
 
  
 datasetId 
  
 = 
  
  DatasetId 
 
 . 
 of 
 ( 
 projectId 
 , 
  
 datasetName 
 ); 
  
 boolean 
  
 success 
  
 = 
  
 bigquery 
 . 
  delete 
 
 ( 
 datasetId 
 , 
  
 DatasetDeleteOption 
 . 
  delete 
 
Contents ()); 
  
 if 
  
 ( 
 success 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Dataset deleted successfully" 
 ); 
  
 } 
  
 else 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Dataset was not found" 
 ); 
  
 } 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Dataset was not deleted. \n" 
  
 + 
  
 e 
 . 
 toString 
 ()); 
  
 } 
  
 } 
 }

    Node.js

    Before trying this sample, follow the Node.js setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Node.js API reference documentation .

    To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

      // Import the Google Cloud client library 
 const 
  
 { 
 BigQuery 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/bigquery 
' 
 ); 
 const 
  
 bigquery 
  
 = 
  
 new 
  
  BigQuery 
 
 (); 
 async 
  
 function 
  
 deleteDataset 
 () 
  
 { 
  
 // Deletes a dataset named "my_dataset". 
  
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
  
 // const datasetId = 'my_dataset'; 
  
 // Create a reference to the existing dataset 
  
 const 
  
 dataset 
  
 = 
  
 bigquery 
 . 
 dataset 
 ( 
 datasetId 
 ); 
  
 // Delete the dataset and its contents 
  
 await 
  
 dataset 
 . 
 delete 
 ({ 
 force 
 : 
  
 true 
 }); 
  
 console 
 . 
 log 
 ( 
 `Dataset 
 ${ 
 dataset 
 . 
 id 
 } 
 deleted.` 
 ); 
 }

    PHP

    Before trying this sample, follow the PHP setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery PHP API reference documentation .

    To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

      use Google\Cloud\BigQuery\BigQueryClient; 
 /** 
 * Deletes the given dataset 
 * 
 * @param string $projectId The project Id of your Google Cloud Project. 
 * @param string $datasetId The BigQuery dataset ID. 
 */ 
 function delete_dataset(string $projectId, string $datasetId): void 
 { 
 $bigQuery = new BigQueryClient([ 
 'projectId' => $projectId, 
 ]); 
 $dataset = $bigQuery->dataset($datasetId); 
 $table = $dataset->delete(); 
 printf('Deleted dataset %s' . PHP_EOL, $datasetId); 
 }

    Python

    Before trying this sample, follow the Python setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Python API reference documentation .

    To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

      from 
  
 google.cloud 
  
 import 
  bigquery 
 
 # Construct a BigQuery client object. 
 client 
 = 
  bigquery 
 
 . 
  Client 
 
 () 
 # TODO(developer): Set model_id to the ID of the model to fetch. 
 # dataset_id = 'your-project.your_dataset' 
 # Use the delete_contents parameter to delete a dataset and its contents. 
 # Use the not_found_ok parameter to not receive an error if the dataset has already been deleted. 
 client 
 . 
  delete_dataset 
 
 ( 
 dataset_id 
 , 
 delete_contents 
 = 
 True 
 , 
 not_found_ok 
 = 
 True 
 ) 
 # Make an API request. 
 print 
 ( 
 "Deleted dataset ' 
 {} 
 '." 
 . 
 format 
 ( 
 dataset_id 
 ))

    Ruby

    Before trying this sample, follow the Ruby setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Ruby API reference documentation .

    To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

      require 
  
 "google/cloud/bigquery" 
 def 
  
 delete_dataset 
  
 dataset_id 
  
 = 
  
 "my_empty_dataset" 
  
 bigquery 
  
 = 
  
 Google 
 :: 
 Cloud 
 :: 
  Bigquery 
 
 . 
  new 
 
  
 # Delete a dataset that does not contain any tables 
  
 dataset 
  
 = 
  
 bigquery 
 . 
 dataset 
  
 dataset_id 
  
 dataset 
 . 
 delete 
  
 puts 
  
 "Dataset 
 #{ 
 dataset_id 
 } 
 deleted." 
 end

    What's next

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