usingGoogle.Cloud.BigQuery.V2;usingSystem;publicclassBigQueryExtractModel{publicvoidExtractModel(stringprojectId,stringdatasetId,stringmodelId,stringdestinationUri){BigQueryClientclient=BigQueryClient.Create(projectId);BigQueryJobjob=client.CreateModelExtractJob(projectId:projectId,datasetId:datasetId,modelId:modelId,destinationUri:destinationUri);job=job.PollUntilCompleted().ThrowOnAnyError();// Waits for the job to complete.System.IO.File.AppendAllText("log.txt",$"Exported model to {destinationUri}");Console.Write($"Exported model to {destinationUri}");}}

import("context""fmt""cloud.google.com/go/bigquery")// exportModel demonstrates how to export an existing// BigQuery ML Model to Google Cloud Storage.funcexportModel(projectID,datasetID,modelID,gcsURIstring)error{// projectID := "my-project-id"// datasetID := "dataset-id"// modelID := "model-id"// gcsURI := "gs://mybucket/path/to/model"ctx:=context.Background()client,err:=bigquery.NewClient(ctx,projectID)iferr!=nil{returnfmt.Errorf("bigquery.NewClient: %w",err)}deferclient.Close()gcsRef:=bigquery.NewGCSReference(gcsURI)extractor:=client.DatasetInProject(projectID,datasetID).Model(modelID).ExtractorTo(gcsRef)// You can choose to run the job in a specific location for more complex data locality scenarios.// Ex: In this example, source dataset and GCS bucket are in the US.extractor.Location="US"job,err:=extractor.Run(ctx)iferr!=nil{returnerr}status,err:=job.Wait(ctx)iferr!=nil{returnerr}iferr:=status.Err();err!=nil{returnerr}returnnil}

importcom.google.cloud.bigquery.BigQuery;importcom.google.cloud.bigquery.BigQueryException;importcom.google.cloud.bigquery.BigQueryOptions;importcom.google.cloud.bigquery.ExtractJobConfiguration;importcom.google.cloud.bigquery.Job;importcom.google.cloud.bigquery.JobInfo;importcom.google.cloud.bigquery.ModelId;// Sample to extract model to GCS bucketpublicclassExtractModel{publicstaticvoidmain(String[]args)throwsInterruptedException{// TODO(developer): Replace these variables before running the sample.StringprojectName="bigquery-public-data";StringdatasetName="samples";StringmodelName="model";StringbucketName="MY-BUCKET-NAME";StringdestinationUri="gs://"+bucketName+"/path/to/file";extractModel(projectName,datasetName,modelName,destinationUri);}publicstaticvoidextractModel(StringprojectName,StringdatasetName,StringmodelName,StringdestinationUri)throwsInterruptedException{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.BigQuerybigquery=BigQueryOptions.getDefaultInstance().getService();ModelIdmodelId=ModelId.of(projectName,datasetName,modelName);ExtractJobConfigurationextractConfig=ExtractJobConfiguration.newBuilder(modelId,destinationUri).build();Jobjob=bigquery.create(JobInfo.of(extractConfig));// Blocks until this job completes its execution, either failing or succeeding.JobcompletedJob=job.waitFor();if(completedJob==null){System.out.println("Job not executed since it no longer exists.");return;}elseif(completedJob.getStatus().getError()!=null){System.out.println("BigQuery was unable to extract due to an error: \n"+job.getStatus().getError());return;}System.out.println("Model extract successful");}catch(BigQueryExceptionex){System.out.println("Model extraction job was interrupted. \n"+ex.toString());}}}

require"google/cloud/bigquery"### Exports a model to a Google Cloud Storage bucket.## @param dataset_id [String] The ID of the dataset that contains the model.# @param model_id   [String] The ID of the model to export.# @param destination_uri [String] The Google Cloud Storage bucket to export the model to.defexport_modeldataset_id,model_id,destination_uribigquery=Google::Cloud::Bigquery.newdataset=bigquery.datasetdataset_idmodel=dataset.modelmodel_idputs"Extracting model#{model.model_id} to#{destination_uri}"job=model.extract_jobdestination_urijob.wait_until_done!ifjob.failed?puts"Error extracting model:#{job.error}"elseputs"Model extracted successfully"endend