Run a query with GoogleSQL

  using 
  
  Google.Cloud.BigQuery.V2 
 
 ; 
 using 
  
 System 
 ; 
 public 
  
 class 
  
 BigQueryQuery 
 { 
  
 public 
  
 void 
  
 Query 
 ( 
  
 string 
  
 projectId 
  
 = 
  
 "your-project-id" 
  
 ) 
  
 { 
  
  BigQueryClient 
 
  
 client 
  
 = 
  
  BigQueryClient 
 
 . 
  Create 
 
 ( 
 projectId 
 ); 
  
 string 
  
 query 
  
 = 
  
 @" 
 SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` 
 WHERE state = 'TX' 
 LIMIT 100" 
 ; 
  
  BigQueryJob 
 
  
 job 
  
 = 
  
 client 
 . 
  CreateQueryJob 
 
 ( 
  
 sql 
 : 
  
 query 
 , 
  
 parameters 
 : 
  
 null 
 , 
  
 options 
 : 
  
 new 
  
  QueryOptions 
 
  
 { 
  
 UseQueryCache 
  
 = 
  
 false 
  
 }); 
  
 // Wait for the job to complete. 
  
 job 
  
 = 
  
 job 
 . 
  PollUntilCompleted 
 
 (). 
 ThrowOnAnyError 
 (); 
  
 // Display the results 
  
 foreach 
  
 ( 
  BigQueryRow 
 
  
 row 
  
 in 
  
 client 
 . 
  GetQueryResults 
 
 ( 
 job 
 . 
  Reference 
 
 )) 
  
 { 
  
 Console 
 . 
 WriteLine 
 ( 
 $"{row[" 
 name 
 "]}" 
 ); 
  
 } 
  
 } 
 } 
 

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 "cloud.google.com/go/bigquery" 
  
 "google.golang.org/api/iterator" 
 ) 
 // queryBasic demonstrates issuing a query and reading results. 
 func 
  
 queryBasic 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 projectID 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 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 name FROM `bigquery-public-data.usa_names.usa_1910_2013` " 
  
 + 
  
 "WHERE state = \"TX\" " 
  
 + 
  
 "LIMIT 100" 
 ) 
  
 // Location must match that of the dataset(s) referenced in the query. 
  
 q 
 . 
  Location 
 
  
 = 
  
 "US" 
  
 // 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. TableResult 
 
 ; 
 public 
  
 class 
 SimpleQuery 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace this query before running the sample. 
  
 String 
  
 query 
  
 = 
  
 "SELECT corpus, count(*) as corpus_count " 
  
 + 
  
 "FROM `bigquery-public-data.samples.shakespeare` GROUP BY corpus;" 
 ; 
  
 simpleQuery 
 ( 
 query 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 simpleQuery 
 ( 
 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 
 (); 
  
 // Create the query job. 
  
 QueryJobConfiguration 
  
 queryConfig 
  
 = 
  
 QueryJobConfiguration 
 . 
 newBuilder 
 ( 
 query 
 ). 
 build 
 (); 
  
 // Execute the query. 
  
 TableResult 
  
 result 
  
 = 
  
 bigquery 
 . 
 query 
 ( 
 queryConfig 
 ); 
  
 // Print the results. 
  
 result 
  
 . 
 iterateAll 
 () 
  
 . 
 forEach 
 ( 
  
 row 
  
 - 
>  
 { 
  
 System 
 . 
 out 
 . 
 print 
 ( 
 "corpus:" 
  
 + 
  
 row 
 . 
 get 
 ( 
 "corpus" 
 ). 
 getStringValue 
 ()); 
  
 System 
 . 
 out 
 . 
 print 
 ( 
 ", count:" 
  
 + 
  
 row 
 . 
 get 
 ( 
 "corpus_count" 
 ). 
 getLongValue 
 ()); 
  
 System 
 . 
 out 
 . 
 println 
 (); 
  
 }); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Query ran successfully" 
 ); 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 | 
  
 InterruptedException 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Query did not run \n" 
  
 + 
  
 e 
 . 
 toString 
 ()); 
  
 } 
  
 } 
 } 
 

  // Import the Google Cloud client library using default credentials 
 const 
  
 { 
 BigQuery 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/bigquery 
' 
 ); 
 const 
  
 bigquery 
  
 = 
  
 new 
  
  BigQuery 
 
 (); 
 async 
  
 function 
  
 query 
 () 
  
 { 
  
 // Queries the U.S. given names dataset for the state of Texas. 
  
 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/rest/v2/jobs/query 
  
 const 
  
 options 
  
 = 
  
 { 
  
 query 
 : 
  
 query 
 , 
  
 // Location must match that of the dataset(s) referenced in the query. 
  
 location 
 : 
  
 'US' 
 , 
  
 }; 
  
 // Run the query as a job 
  
 const 
  
 [ 
 job 
 ] 
  
 = 
  
 await 
  
 bigquery 
 . 
 createQueryJob 
 ( 
 options 
 ); 
  
 console 
 . 
 log 
 ( 
 `Job 
 ${ 
  job 
 
 . 
 id 
 } 
 started.` 
 ); 
  
 // Wait for the query to finish 
  
 const 
  
 [ 
 rows 
 ] 
  
 = 
  
 await 
  
  job 
 
 . 
  getQueryResults 
 
 (); 
  
 // Print the results 
  
 console 
 . 
 log 
 ( 
 'Rows:' 
 ); 
  
 rows 
 . 
 forEach 
 ( 
 row 
  
 = 
>  
 console 
 . 
 log 
 ( 
 row 
 )); 
 } 
 

  use Google\Cloud\BigQuery\BigQueryClient; 
 /** 
 * Run query as job. 
 * 
 * @param string $projectId The project Id of your Google Cloud Project. 
 * @param string $query Eg: 'SELECT id, view_count FROM 
 *                          `bigquery-public-data.stackoverflow.posts_questions`'; 
 */ 
 function run_query_as_job(string $projectId, string $query): void 
 { 
 $bigQuery = new BigQueryClient([ 
 'projectId' => $projectId, 
 ]); 
 $jobConfig = $bigQuery->query($query); 
 $job = $bigQuery->startQuery($jobConfig); 
 // check if the job is complete 
 $job->reload(); 
 if (!$job->isComplete()) { 
 throw new \Exception('Job has not yet completed', 500); 
 } 
 $queryResults = $job->queryResults(); 
 $i = 0; 
 foreach ($queryResults as $row) { 
 printf('--- Row %s ---' . PHP_EOL, ++$i); 
 foreach ($row as $column => $value) { 
 printf('%s: %s' . PHP_EOL, $column, json_encode($value)); 
 } 
 } 
 printf('Found %s row(s)' . PHP_EOL, $i); 
 } 
 

  from 
  
 google.cloud 
  
 import 
  bigquery 
 
 # Construct a BigQuery client object. 
 client 
 = 
  bigquery 
 
 . 
  Client 
 
 () 
 query 
 = 
 """ 
 SELECT name, SUM(number) as total_people 
 FROM `bigquery-public-data.usa_names.usa_1910_2013` 
 WHERE state = 'TX' 
 GROUP BY name, state 
 ORDER BY total_people DESC 
 LIMIT 20 
 """ 
 rows 
 = 
 client 
 . 
  query_and_wait 
 
 ( 
 query 
 ) 
 # Make an API request. 
 print 
 ( 
 "The query data:" 
 ) 
 for 
 row 
 in 
 rows 
 : 
 # Row values can be accessed by field name or index. 
 print 
 ( 
 "name= 
 {} 
 , count= 
 {} 
 " 
 . 
 format 
 ( 
 row 
 [ 
 0 
 ], 
 row 
 [ 
 "total_people" 
 ])) 
 

  require 
  
 "google/cloud/bigquery" 
 def 
  
 query 
  
 bigquery 
  
 = 
  
 Google 
 :: 
 Cloud 
 :: 
  Bigquery 
 
 . 
  new 
 
  
 sql 
  
 = 
  
 "SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` " 
  
 \ 
  
 "WHERE state = 'TX' " 
  
 \ 
  
 "LIMIT 100" 
  
 # Location must match that of the dataset(s) referenced in the query. 
  
 results 
  
 = 
  
 bigquery 
 . 
 query 
  
 sql 
  
 do 
  
 | 
 config 
 | 
  
 config 
 . 
 location 
  
 = 
  
 "US" 
  
 end 
  
 results 
 . 
 each 
  
 do 
  
 | 
 row 
 | 
  
 puts 
  
 row 
 . 
 inspect 
  
 end 
 end