Create a routine

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "cloud.google.com/go/bigquery" 
 ) 
 // createRoutine demonstrates creating a new BigQuery UDF using the routine API. 
 func 
  
 createRoutine 
 ( 
 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 
 () 
  
 metaData 
  
 := 
  
& bigquery 
 . 
  RoutineMetadata 
 
 { 
  
 Type 
 : 
  
 "SCALAR_FUNCTION" 
 , 
  
 Language 
 : 
  
 "SQL" 
 , 
  
 Body 
 : 
  
 "x * 3" 
 , 
  
 Arguments 
 : 
  
 [] 
 * 
 bigquery 
 . 
  RoutineArgument 
 
 { 
  
 { 
 Name 
 : 
  
 "x" 
 , 
  
 DataType 
 : 
  
& bigquery 
 . 
  StandardSQLDataType 
 
 { 
 TypeKind 
 : 
  
 "INT64" 
 }}, 
  
 }, 
  
 } 
  
 routineRef 
  
 := 
  
 client 
 . 
 Dataset 
 ( 
 datasetID 
 ). 
 Routine 
 ( 
 routineID 
 ) 
  
 if 
  
 err 
  
 := 
  
 routineRef 
 . 
 Create 
 ( 
 ctx 
 , 
  
 metaData 
 ); 
  
 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. RoutineArgument 
 
 ; 
 import 
  
 com.google.cloud.bigquery. RoutineId 
 
 ; 
 import 
  
 com.google.cloud.bigquery. RoutineInfo 
 
 ; 
 import 
  
 com.google.cloud.bigquery. StandardSQLDataType 
 
 ; 
 import 
  
 com.google.cloud.bigquery. StandardSQLTypeName 
 
 ; 
 import 
  
 com.google.common.collect.ImmutableList 
 ; 
 // Sample to create a routine 
 public 
  
 class 
 CreateRoutine 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 datasetName 
  
 = 
  
 "MY_DATASET_NAME" 
 ; 
  
 String 
  
 routineName 
  
 = 
  
 "MY_ROUTINE_NAME" 
 ; 
  
 createRoutine 
 ( 
 datasetName 
 , 
  
 routineName 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 createRoutine 
 ( 
 String 
  
 datasetName 
 , 
  
 String 
  
 routineName 
 ) 
  
 { 
  
 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 
 (); 
  
  RoutineId 
 
  
 routineId 
  
 = 
  
  RoutineId 
 
 . 
 of 
 ( 
 datasetName 
 , 
  
 routineName 
 ); 
  
  RoutineInfo 
 
  
 routineInfo 
  
 = 
  
  RoutineInfo 
 
 . 
 newBuilder 
 ( 
 routineId 
 ) 
  
 . 
 setRoutineType 
 ( 
 "SCALAR_FUNCTION" 
 ) 
  
 . 
 setLanguage 
 ( 
 "SQL" 
 ) 
  
 . 
 setBody 
 ( 
 "x * 3" 
 ) 
  
 . 
 setArguments 
 ( 
  
 ImmutableList 
 . 
 of 
 ( 
  
  RoutineArgument 
 
 . 
 newBuilder 
 () 
  
 . 
 setName 
 ( 
 "x" 
 ) 
  
 . 
 setDataType 
 ( 
  
  StandardSQLDataType 
 
 . 
 newBuilder 
 ( 
  StandardSQLTypeName 
 
 . 
 INT64 
 ). 
 build 
 ()) 
  
 . 
 build 
 ())) 
  
 . 
 build 
 (); 
  
 bigquery 
 . 
  create 
 
 ( 
 routineInfo 
 ); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Routine created successfully" 
 ); 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 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 
  
 createRoutine 
 () 
  
 { 
  
 // Creates a new routine named "my_routine" in "my_dataset". 
  
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
  
 // const datasetId = 'my_dataset'; 
  
 // const routineId = 'my_routine'; 
  
 const 
  
 dataset 
  
 = 
  
 bigquery 
 . 
 dataset 
 ( 
 datasetId 
 ); 
  
 // Create routine reference 
  
 let 
  
 routine 
  
 = 
  
 dataset 
 . 
 routine 
 ( 
 routineId 
 ); 
  
 const 
  
 config 
  
 = 
  
 { 
  
 arguments 
 : 
  
 [ 
  
 { 
  
 name 
 : 
  
 'x' 
 , 
  
 dataType 
 : 
  
 { 
  
 typeKind 
 : 
  
 'INT64' 
 , 
  
 }, 
  
 }, 
  
 ], 
  
 definitionBody 
 : 
  
 'x * 3' 
 , 
  
 routineType 
 : 
  
 'SCALAR_FUNCTION' 
 , 
  
 returnType 
 : 
  
 { 
  
 typeKind 
 : 
  
 'INT64' 
 , 
  
 }, 
  
 }; 
  
 // Make API call 
  
 [ 
 routine 
 ] 
  
 = 
  
 await 
  
 routine 
 . 
 create 
 ( 
 config 
 ); 
  
 console 
 . 
 log 
 ( 
 `Routine 
 ${ 
 routineId 
 } 
 created.` 
 ); 
 } 
 createRoutine 
 (); 
 

  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" 
 routine 
 = 
  bigquery 
 
 . 
  Routine 
 
 ( 
 routine_id 
 , 
 type_ 
 = 
 "SCALAR_FUNCTION" 
 , 
 language 
 = 
 "SQL" 
 , 
 body 
 = 
 "x * 3" 
 , 
 arguments 
 = 
 [ 
  bigquery 
 
 . 
  RoutineArgument 
 
 ( 
 name 
 = 
 "x" 
 , 
 data_type 
 = 
  bigquery 
 
 . 
  StandardSqlDataType 
 
 ( 
 type_kind 
 = 
  bigquery 
 
 . 
  StandardSqlTypeNames 
 
 . 
 INT64 
 ), 
 ) 
 ], 
 ) 
 routine 
 = 
 client 
 . 
  create_routine 
 
 ( 
 routine 
 ) 
 # Make an API request. 
 print 
 ( 
 "Created routine 
 {} 
 " 
 . 
 format 
 ( 
 routine 
 . 
 reference 
 ))