Save query results

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 "cloud.google.com/go/bigquery" 
  
 "google.golang.org/api/iterator" 
 ) 
 // queryWithDestination demonstrates saving the results of a query to a specific table by setting the destination 
 // via the API properties. 
 func 
  
 queryWithDestination 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 projectID 
 , 
  
 destDatasetID 
 , 
  
 destTableID 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 // datasetID := "mydataset" 
  
 // tableID := "mytable" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 bigquery 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 projectID 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "bigquery.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 q 
  
 := 
  
 client 
 . 
 Query 
 ( 
 "SELECT 17 as my_col" 
 ) 
  
 q 
 . 
 Location 
  
 = 
  
 "US" 
  
 // Location must match the dataset(s) referenced in query. 
  
 q 
 . 
 QueryConfig 
 . 
 Dst 
  
 = 
  
 client 
 . 
 Dataset 
 ( 
 destDatasetID 
 ). 
 Table 
 ( 
 destTableID 
 ) 
  
 // Run the query and process the returned row iterator. 
  
 it 
 , 
  
 err 
  
 := 
  
 q 
 . 
 Read 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "query.Read(): %w" 
 , 
  
 err 
 ) 
  
 } 
  
 for 
  
 { 
  
 var 
  
 row 
  
 [] 
 bigquery 
 . 
 Value 
  
 err 
  
 := 
  
 it 
 . 
 Next 
 ( 
& row 
 ) 
  
 if 
  
 err 
  
 == 
  
 iterator 
 . 
 Done 
  
 { 
  
 break 
  
 } 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 fmt 
 . 
 Fprintln 
 ( 
 w 
 , 
  
 row 
 ) 
  
 } 
  
 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.QueryJobConfiguration 
 ; 
 import 
  
 com.google.cloud.bigquery.TableId 
 ; 
 public 
  
 class 
 SaveQueryToTable 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 query 
  
 = 
  
 "SELECT corpus FROM `bigquery-public-data.samples.shakespeare` GROUP BY corpus;" 
 ; 
  
 String 
  
 destinationTable 
  
 = 
  
 "MY_TABLE" 
 ; 
  
 String 
  
 destinationDataset 
  
 = 
  
 "MY_DATASET" 
 ; 
  
 saveQueryToTable 
 ( 
 destinationDataset 
 , 
  
 destinationTable 
 , 
  
 query 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 saveQueryToTable 
 ( 
  
 String 
  
 destinationDataset 
 , 
  
 String 
  
 destinationTableId 
 , 
  
 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 
 (); 
  
 // Identify the destination table 
  
 TableId 
  
 destinationTable 
  
 = 
  
 TableId 
 . 
 of 
 ( 
 destinationDataset 
 , 
  
 destinationTableId 
 ); 
  
 // Build the query job 
  
 QueryJobConfiguration 
  
 queryConfig 
  
 = 
  
 QueryJobConfiguration 
 . 
 newBuilder 
 ( 
 query 
 ). 
 setDestinationTable 
 ( 
 destinationTable 
 ). 
 build 
 (); 
  
 // Execute the query. 
  
 bigquery 
 . 
 query 
 ( 
 queryConfig 
 ); 
  
 // The results are now saved in the destination table. 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Saved query ran successfully" 
 ); 
  
 } 
  
 catch 
  
 ( 
 BigQueryException 
  
 | 
  
 InterruptedException 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Saved query did not run \n" 
  
 + 
  
 e 
 . 
 toString 
 ()); 
  
 } 
  
 } 
 } 
 

  // Import the Google Cloud client library 
 const 
  
 { 
 BigQuery 
 } 
  
 = 
  
 require 
 ( 
 '@google-cloud/bigquery' 
 ); 
 const 
  
 bigquery 
  
 = 
  
 new 
  
 BigQuery 
 (); 
 async 
  
 function 
  
 queryDestinationTable 
 () 
  
 { 
  
 // Queries the U.S. given names dataset for the state of Texas 
  
 // and saves results to permanent table. 
  
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
  
 // const datasetId = 'my_dataset'; 
  
 // const tableId = 'my_table'; 
  
 // Create destination table reference 
  
 const 
  
 dataset 
  
 = 
  
 bigquery 
 . 
 dataset 
 ( 
 datasetId 
 ); 
  
 const 
  
 destinationTable 
  
 = 
  
 dataset 
 . 
 table 
 ( 
 tableId 
 ); 
  
 const 
  
 query 
  
 = 
  
 `SELECT name 
 FROM \`bigquery-public-data.usa_names.usa_1910_2013\` 
 WHERE state = 'TX' 
 LIMIT 100` 
 ; 
  
 // For all options, see https://cloud.google.com/bigquery/docs/reference/v2/tables#resource 
  
 const 
  
 options 
  
 = 
  
 { 
  
 query 
 : 
  
 query 
 , 
  
 // Location must match that of the dataset(s) referenced in the query. 
  
 location 
 : 
  
 'US' 
 , 
  
 destination 
 : 
  
 destinationTable 
 , 
  
 }; 
  
 // Run the query as a job 
  
 const 
  
 [ 
 job 
 ] 
  
 = 
  
 await 
  
 bigquery 
 . 
 createQueryJob 
 ( 
 options 
 ); 
  
 console 
 . 
 log 
 ( 
 `Job 
 ${ 
 job 
 . 
 id 
 } 
 started.` 
 ); 
  
 console 
 . 
 log 
 ( 
 `Query results loaded to table 
 ${ 
 destinationTable 
 . 
 id 
 } 
 ` 
 ); 
 } 
 

  from 
  
 google.cloud 
  
 import 
 bigquery 
 # Construct a BigQuery client object. 
 client 
 = 
 bigquery 
 . 
 Client 
 () 
 # TODO(developer): Set table_id to the ID of the destination table. 
 # table_id = "your-project.your_dataset.your_table_name" 
 job_config 
 = 
 bigquery 
 . 
 QueryJobConfig 
 ( 
 destination 
 = 
 table_id 
 ) 
 sql 
 = 
 """ 
 SELECT corpus 
 FROM `bigquery-public-data.samples.shakespeare` 
 GROUP BY corpus; 
 """ 
 # Start the query, passing in the extra configuration. 
 client 
 . 
 query_and_wait 
 ( 
 sql 
 , 
 job_config 
 = 
 job_config 
 ) 
 # Make an API request and wait for the query to finish. 
 print 
 ( 
 "Query results loaded to the table 
 {} 
 " 
 . 
 format 
 ( 
 table_id 
 ))