Run a query with legacy SQL

  using 
  
  Google.Cloud.BigQuery.V2 
 
 ; 
 using 
  
 System 
 ; 
 public 
  
 class 
  
 BigQueryQueryLegacy 
 { 
  
 public 
  
 void 
  
 QueryLegacy 
 ( 
  
 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 
 
  
 { 
  
 UseLegacySql 
  
 = 
  
 true 
  
 }); 
  
 // 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" 
 ) 
 // queryLegacy demonstrates running a query using Legacy SQL. 
 func 
  
 queryLegacy 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 projectID 
 , 
  
 sqlString 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 // sqlString = "SELECT 3 as somenum" 
  
 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 
 ( 
 sqlString 
 ) 
  
 q 
 . 
 UseLegacySQL 
  
 = 
  
 true 
  
 // 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 
 RunLegacyQuery 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 runLegacyQuery 
 (); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 runLegacyQuery 
 () 
  
 { 
  
 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 
 (); 
  
 // To use legacy SQL syntax, set useLegacySql to true. 
  
 String 
  
 query 
  
 = 
  
 "SELECT corpus FROM [bigquery-public-data:samples.shakespeare] GROUP BY corpus;" 
 ; 
  
  QueryJobConfiguration 
 
  
 queryConfig 
  
 = 
  
  QueryJobConfiguration 
 
 . 
 newBuilder 
 ( 
 query 
 ). 
 setUseLegacySql 
 ( 
 true 
 ). 
 build 
 (); 
  
 // Execute the query. 
  
  TableResult 
 
  
 result 
  
 = 
  
 bigquery 
 . 
  query 
 
 ( 
 queryConfig 
 ); 
  
 // Print the results. 
  
 result 
 . 
  iterateAll 
 
 (). 
 forEach 
 ( 
 rows 
  
 - 
>  
 rows 
 . 
 forEach 
 ( 
 row 
  
 - 
>  
 System 
 . 
 out 
 . 
 println 
 ( 
 row 
 . 
 getValue 
 ()))); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Legacy query ran successfully" 
 ); 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 | 
  
 InterruptedException 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Legacy 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 
  
 queryLegacy 
 () 
  
 { 
  
 // Queries the U.S. given names dataset for the state of Texas using legacy SQL. 
  
 const 
  
 query 
  
 = 
  
 'SELECT word FROM [bigquery-public-data:samples.shakespeare] LIMIT 10;' 
 ; 
  
 // 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' 
 , 
  
 useLegacySql 
 : 
  
 true 
 , 
  
 }; 
  
 // 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; 
 /** 
 * Query using legacy sql 
 * 
 * @param string $projectId The project Id of your Google Cloud Project. 
 */ 
 function query_legacy(string $projectId): void 
 { 
 $query = 'SELECT corpus FROM [bigquery-public-data:samples.shakespeare] GROUP BY corpus'; 
 $bigQuery = new BigQueryClient([ 
 'projectId' => $projectId, 
 ]); 
 $jobConfig = $bigQuery->query($query)->useLegacySql(true); 
 $queryResults = $bigQuery->runQuery($jobConfig); 
 $i = 0; 
 foreach ($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 FROM [bigquery-public-data:usa_names.usa_1910_2013] " 
 'WHERE state = "TX" ' 
 "LIMIT 100" 
 ) 
 # Set use_legacy_sql to True to use legacy SQL syntax. 
 job_config 
 = 
  bigquery 
 
 . 
  QueryJobConfig 
 
 ( 
 use_legacy_sql 
 = 
 True 
 ) 
 # Start the query and waits for query job to complete, passing in the extra configuration. 
 results 
 = 
 client 
 . 
  query_and_wait 
 
 ( 
 query 
 , 
 job_config 
 = 
 job_config 
 ) 
 # Make an API request. 
 print 
 ( 
 "The query data:" 
 ) 
 for 
 row 
 in 
 results 
 : 
 print 
 ( 
 row 
 ) 
 

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