Create a routine with DDL

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "cloud.google.com/go/bigquery" 
 ) 
 // createRoutineDDL demonstrates creating a new BigQuery UDF using a DDL query. 
 func 
  
 createRoutineDDL 
 ( 
 projectID 
 , 
  
 datasetID 
 , 
  
 routineID 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 // datasetID := "mydatasetid" 
  
 // routineID := "myroutineid" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 bigquery 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 projectID 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "bigquery.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 routineName 
 , 
  
 err 
  
 := 
  
 client 
 . 
 Dataset 
 ( 
 datasetID 
 ). 
 Routine 
 ( 
 routineID 
 ). 
 Identifier 
 ( 
 bigquery 
 . 
  StandardSQLID 
 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "couldn't generate identifier: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 sql 
  
 := 
  
 fmt 
 . 
 Sprintf 
 ( 
 `CREATE FUNCTION %s( 
 arr ARRAY<STRUCT<name STRING, val INT64> 
> ) AS ( 
 (SELECT SUM(IF(elem.name = "foo",elem.val,null)) FROM UNNEST(arr) AS elem) 
 )` 
 , 
  
 routineName 
 ) 
  
 job 
 , 
  
 err 
  
 := 
  
 client 
 . 
 Query 
 ( 
 sql 
 ). 
 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. JobInfo 
 
 ; 
 import 
  
 com.google.cloud.bigquery. QueryJobConfiguration 
 
 ; 
 // Sample to create a routine using DDL 
 public 
  
 class 
 CreateRoutineDdl 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 projectId 
  
 = 
  
 "MY_PROJECT_ID" 
 ; 
  
 String 
  
 datasetId 
  
 = 
  
 "MY_DATASET_ID" 
 ; 
  
 String 
  
 routineId 
  
 = 
  
 "MY_ROUTINE_ID" 
 ; 
  
 String 
  
 sql 
  
 = 
  
 "CREATE FUNCTION " 
  
 + 
  
 "`" 
  
 + 
  
 projectId 
  
 + 
  
 "." 
  
 + 
  
 datasetId 
  
 + 
  
 "." 
  
 + 
  
 routineId 
  
 + 
  
 "`" 
  
 + 
  
 "( arr ARRAY<STRUCT<name STRING, val INT64>>) AS " 
  
 + 
  
 "( (SELECT SUM(IF(elem.name = \"foo\",elem.val,null)) FROM UNNEST(arr) AS elem))" 
 ; 
  
 createRoutineDdl 
 ( 
 sql 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 createRoutineDdl 
 ( 
 String 
  
 sql 
 ) 
  
 { 
  
 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 
 (); 
  
  QueryJobConfiguration 
 
  
 config 
  
 = 
  
  QueryJobConfiguration 
 
 . 
 newBuilder 
 ( 
 sql 
 ). 
 build 
 (); 
  
 // create a routine using query and it will wait to complete job. 
  
  Job 
 
  
 job 
  
 = 
  
 bigquery 
 . 
  create 
 
 ( 
 JobInfo 
 . 
 of 
 ( 
 config 
 )); 
  
 job 
  
 = 
  
 job 
 . 
  waitFor 
 
 (); 
  
 if 
  
 ( 
 job 
 . 
  isDone 
 
 ()) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Routine created successfully" 
 ); 
  
 } 
  
 else 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Routine was not created" 
 ); 
  
 } 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 | 
  
 InterruptedException 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Routine 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 
  
 createRoutineDDL 
 () 
  
 { 
  
 // Creates a routine using DDL. 
  
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
  
 // projectId = 'my_project'; 
  
 // const datasetId = 'my_dataset'; 
  
 // const routineId = 'my_routine'; 
  
 const 
  
 query 
  
 = 
  
 `CREATE FUNCTION \` 
 ${ 
 projectId 
 } 
 . 
 ${ 
 datasetId 
 } 
 . 
 ${ 
 routineId 
 } 
 \`( 
 arr ARRAY<STRUCT<name STRING, val INT64> 
> ) AS ( 
 (SELECT SUM(IF(elem.name = "foo",elem.val,null)) FROM UNNEST(arr) AS elem) 
 )` 
 ; 
  
 const 
  
 options 
  
 = 
  
 { 
  
 query 
 : 
  
 query 
 , 
  
 }; 
  
 // Run the query as a job 
  
 const 
  
 [ 
 job 
 ] 
  
 = 
  
 await 
  
 bigquery 
 . 
 createQueryJob 
 ( 
 options 
 ); 
  
 console 
 . 
 log 
 ( 
 `Job 
 ${ 
  job 
 
 . 
 id 
 } 
 started.` 
 ); 
  
 // Wait for the query to finish 
  
 await 
  
  job 
 
 . 
  getQueryResults 
 
 (); 
  
 console 
 . 
 log 
 ( 
 `Routine 
 ${ 
 routineId 
 } 
 created.` 
 ); 
 } 
 createRoutineDDL 
 (); 
 

  from 
  
 google.cloud 
  
 import 
  bigquery 
 
 # Construct a BigQuery client object. 
 client 
 = 
  bigquery 
 
 . 
  Client 
 
 () 
 # TODO(developer): Choose a fully-qualified ID for the routine. 
 # routine_id = "my-project.my_dataset.my_routine" 
 sql 
 = 
 """ 
 CREATE FUNCTION ` 
 {} 
 `( 
 arr ARRAY<STRUCT<name STRING, val INT64> 
> ) AS ( 
 (SELECT SUM(IF(elem.name = "foo",elem.val,null)) FROM UNNEST(arr) AS elem) 
 ) 
 """ 
 . 
 format 
 ( 
 routine_id 
 ) 
 query_job 
 = 
 client 
 . 
  query 
 
 ( 
 sql 
 ) 
 # Make an API request. 
  query_job 
 
 . 
 result 
 () 
 # Wait for the job to complete. 
 print 
 ( 
 "Created routine 
 {} 
 " 
 . 
 format 
 ( 
  query_job 
 
 . 
  ddl_target_routine 
 
 ))