Create a job

  using 
  
  Google.Cloud.BigQuery.V2 
 
 ; 
 using 
  
 System 
 ; 
 using 
  
 System.Collections.Generic 
 ; 
 public 
  
 class 
  
 BigQueryCreateJob 
 { 
  
 public 
  
 BigQueryJob 
  
 CreateJob 
 ( 
 string 
  
 projectId 
  
 = 
  
 "your-project-id" 
 ) 
  
 { 
  
 string 
  
 query 
  
 = 
  
 @" 
 SELECT country_name from `bigquery-public-data.utility_us.country_code_iso" 
 ; 
  
 // Initialize client that will be used to send requests. 
  
  BigQueryClient 
 
  
 client 
  
 = 
  
  BigQueryClient 
 
 . 
  Create 
 
 ( 
 projectId 
 ); 
  
  QueryOptions 
 
  
 queryOptions 
  
 = 
  
 new 
  
  QueryOptions 
 
  
 { 
  
 JobLocation 
  
 = 
  
 "us" 
 , 
  
 JobIdPrefix 
  
 = 
  
 "code_sample_" 
 , 
  
 Labels 
  
 = 
  
 new 
  
 Dictionary<string 
 , 
  
 string 
>  
 { 
  
 ["example-label"] 
  
 = 
  
 "example-value" 
  
 }, 
  
 MaximumBytesBilled 
  
 = 
  
 1000000 
  
 }; 
  
  BigQueryJob 
 
  
 queryJob 
  
 = 
  
 client 
 . 
  CreateQueryJob 
 
 ( 
  
 sql 
 : 
  
 query 
 , 
  
 parameters 
 : 
  
 null 
 , 
  
 options 
 : 
  
 queryOptions 
 ); 
  
 Console 
 . 
 WriteLine 
 ( 
 $"Started job: {queryJob. Reference 
. JobId 
}" 
 ); 
  
 return 
  
 queryJob 
 ; 
  
 } 
 } 
 

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "cloud.google.com/go/bigquery" 
  
 "github.com/google/uuid" 
 ) 
 // createJob demonstrates running an arbitrary SQL statement as a query job. 
 func 
  
 createJob 
 ( 
 projectID 
 , 
  
 sql 
  
 string 
 ) 
  
 error 
  
 { 
  
 // sql := "SELECT country_name from `bigquery-public-data.utility_us.country_code_iso`:" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 bigquery 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 projectID 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "bigquery.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 // Demonstrate adding a label to the job. 
  
 q 
  
 := 
  
 client 
 . 
 Query 
 ( 
 sql 
 ) 
  
 q 
 . 
 Labels 
  
 = 
  
 map 
 [ 
 string 
 ] 
 string 
 { 
 "example-label" 
 : 
  
 "example-value" 
 } 
  
 // The library will create job IDs for you automatically, but this can be overridden by 
  
 // setting the Job ID explicitly.  Job IDs are unique within a project and cannot be 
  
 // reused. 
  
 q 
 . 
 JobID 
  
 = 
  
 fmt 
 . 
 Sprintf 
 ( 
 "my_job_prefix_%s" 
 , 
  
 uuid 
 . 
 New 
 (). 
 String 
 ()) 
  
 // Start job execution. 
  
 job 
 , 
  
 err 
  
 := 
  
 q 
 . 
 Run 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 status 
 , 
  
 err 
  
 := 
  
 job 
 . 
 Wait 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 if 
  
 err 
  
 := 
  
 status 
 . 
  Err 
 
 (); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 return 
  
 nil 
 } 
 

  import 
  
 com.google.cloud.bigquery. BigQuery 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQueryException 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQueryOptions 
 
 ; 
 import 
  
 com.google.cloud.bigquery. Job 
 
 ; 
 import 
  
 com.google.cloud.bigquery. JobId 
 
 ; 
 import 
  
 com.google.cloud.bigquery. JobInfo 
 
 ; 
 import 
  
 com.google.cloud.bigquery. QueryJobConfiguration 
 
 ; 
 import 
  
 com.google.common.collect.ImmutableMap 
 ; 
 import 
  
 java.util.UUID 
 ; 
 // Sample to create a job 
 public 
  
 class 
 CreateJob 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 query 
  
 = 
  
 "SELECT country_name from `bigquery-public-data.utility_us.country_code_iso`" 
 ; 
  
 createJob 
 ( 
 query 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 createJob 
 ( 
 String 
  
 query 
 ) 
  
 { 
  
 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 
 (); 
  
 // Specify a job configuration to set optional job resource properties. 
  
  QueryJobConfiguration 
 
  
 queryConfig 
  
 = 
  
  QueryJobConfiguration 
 
 . 
 newBuilder 
 ( 
 query 
 ) 
  
 . 
 setLabels 
 ( 
 ImmutableMap 
 . 
 of 
 ( 
 "example-label" 
 , 
  
 "example-value" 
 )) 
  
 . 
 build 
 (); 
  
 // The location and job name are optional, 
  
 // if both are not specified then client will auto-create. 
  
 String 
  
 jobName 
  
 = 
  
 "jobId_" 
  
 + 
  
 UUID 
 . 
 randomUUID 
 (). 
 toString 
 (); 
  
  JobId 
 
  
 jobId 
  
 = 
  
  JobId 
 
 . 
 newBuilder 
 (). 
 setLocation 
 ( 
 "us" 
 ). 
  setJob 
 
 ( 
 jobName 
 ). 
 build 
 (); 
  
 // Create a job with job ID 
  
 bigquery 
 . 
  create 
 
 ( 
 JobInfo 
 . 
 of 
 ( 
 jobId 
 , 
  
 queryConfig 
 )); 
  
 // Get a job that was just created 
  
  Job 
 
  
 job 
  
 = 
  
 bigquery 
 . 
  getJob 
 
 ( 
 jobId 
 ); 
  
 if 
  
 ( 
 job 
 . 
 getJobId 
 (). 
 getJob 
 (). 
 equals 
 ( 
 jobId 
 . 
  getJob 
 
 ())) 
  
 { 
  
 System 
 . 
 out 
 . 
 print 
 ( 
 "Job created successfully." 
  
 + 
  
 job 
 . 
 getJobId 
 (). 
 getJob 
 ()); 
  
 } 
  
 else 
  
 { 
  
 System 
 . 
 out 
 . 
 print 
 ( 
 "Job was not created" 
 ); 
  
 } 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 print 
 ( 
 "Job was not created. \n" 
  
 + 
  
 e 
 . 
 toString 
 ()); 
  
 } 
  
 } 
 } 
 

  // Import the Google Cloud client library and create a client 
 const 
  
 { 
 BigQuery 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/bigquery 
' 
 ); 
 const 
  
 bigquery 
  
 = 
  
 new 
  
  BigQuery 
 
 (); 
 async 
  
 function 
  
 createJob 
 () 
  
 { 
  
 // Run a BigQuery query job. 
  
 // For all options, see https://cloud.google.com/bigquery/docs/reference/rest/v2/Job 
  
 const 
  
 options 
  
 = 
  
 { 
  
 // Specify a job configuration to set optional job resource properties. 
  
 configuration 
 : 
  
 { 
  
 query 
 : 
  
 { 
  
 query 
 : 
  
 `SELECT country_name 
 FROM \`bigquery-public-data.utility_us.country_code_iso\` 
 LIMIT 10` 
 , 
  
 useLegacySql 
 : 
  
 false 
 , 
  
 }, 
  
 labels 
 : 
  
 { 
 'example-label' 
 : 
  
 'example-value' 
 }, 
  
 }, 
  
 }; 
  
 // Make API request. 
  
 const 
  
 response 
  
 = 
  
 await 
  
 bigquery 
 . 
  createJob 
 
 ( 
 options 
 ); 
  
 const 
  
 job 
  
 = 
  
 response 
 [ 
 0 
 ]; 
  
 // Wait for the query to finish 
  
 const 
  
 [ 
 rows 
 ] 
  
 = 
  
 await 
  
  job 
 
 . 
  getQueryResults 
 
 ( 
 job 
 ); 
  
 // Print the results 
  
 console 
 . 
 log 
 ( 
 'Rows:' 
 ); 
  
 rows 
 . 
 forEach 
 ( 
 row 
  
 = 
>  
 console 
 . 
 log 
 ( 
 row 
 )); 
 } 
 

  from 
  
 google.cloud 
  
 import 
  bigquery 
 
 # Construct a BigQuery client object. 
 client 
 = 
  bigquery 
 
 . 
  Client 
 
 () 
 query_job 
 = 
 client 
 . 
  create_job 
 
 ( 
 # Specify a job configuration, providing a query 
 # and/or optional job resource properties, as needed. 
 # The job instance can be a LoadJob, CopyJob, ExtractJob, QueryJob 
 # Here, we demonstrate a "query" job. 
 # References: 
 #     https://googleapis.dev/python/bigquery/latest/generated/google.cloud.bigquery.client.Client.html#google.cloud.bigquery.client.Client.create_job 
 #     https://cloud.google.com/bigquery/docs/reference/rest/v2/Job 
 # 
 # Example use cases for .create_job() include: 
 #    * to retry failed jobs 
 #    * to generate jobs with an experimental API property that hasn't 
 #      been added to one of the manually written job configuration 
 #      classes yet 
 # 
 # NOTE: unless it is necessary to create a job in this way, the 
 # preferred approach is to use one of the dedicated API calls: 
 #   client.query() 
 #   client.extract_table() 
 #   client.copy_table() 
 #   client.load_table_file(), client.load_table_from_dataframe(), etc 
 job_config 
 = 
 { 
 "query" 
 : 
 { 
 "query" 
 : 
 """ 
 SELECT country_name 
 FROM `bigquery-public-data.utility_us.country_code_iso` 
 LIMIT 5 
 """ 
 , 
 }, 
 "labels" 
 : 
 { 
 "example-label" 
 : 
 "example-value" 
 }, 
 "maximum_bytes_billed" 
 : 
 10000000 
 , 
 } 
 ) 
 # Make an API request. 
 print 
 ( 
 f 
 "Started job: 
 { 
  query_job 
 
 . 
 job_id 
 } 
 " 
 )