Nested repeated schema

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 "cloud.google.com/go/bigquery" 
 ) 
 // createTableComplexSchema demonstrates creating a BigQuery table and specifying a complex schema that includes 
 // an array of Struct types. 
 func 
  
 createTableComplexSchema 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 projectID 
 , 
  
 datasetID 
 , 
  
 tableID 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 // datasetID := "mydatasetid" 
  
 // tableID := "mytableid" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 bigquery 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 projectID 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "bigquery.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 sampleSchema 
  
 := 
  
 bigquery 
 . 
  Schema 
 
 { 
  
 { 
 Name 
 : 
  
 "id" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "first_name" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "last_name" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "dob" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  DateFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "addresses" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  RecordFieldType 
 
 , 
  
 Repeated 
 : 
  
 true 
 , 
  
 Schema 
 : 
  
 bigquery 
 . 
  Schema 
 
 { 
  
 { 
 Name 
 : 
  
 "status" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "address" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "city" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "state" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "zip" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 { 
 Name 
 : 
  
 "numberOfYears" 
 , 
  
 Type 
 : 
  
 bigquery 
 . 
  StringFieldType 
 
 }, 
  
 }}, 
  
 } 
  
 metaData 
  
 := 
  
& bigquery 
 . 
  TableMetadata 
 
 { 
  
 Schema 
 : 
  
 sampleSchema 
 , 
  
 } 
  
 tableRef 
  
 := 
  
 client 
 . 
 Dataset 
 ( 
 datasetID 
 ). 
 Table 
 ( 
 tableID 
 ) 
  
 if 
  
 err 
  
 := 
  
 tableRef 
 . 
 Create 
 ( 
 ctx 
 , 
  
 metaData 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "created table %s\n" 
 , 
  
 tableRef 
 . 
 FullyQualifiedName 
 ()) 
  
 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. Field 
 
 ; 
 import 
  
 com.google.cloud.bigquery. Field 
.Mode 
 ; 
 import 
  
 com.google.cloud.bigquery. Schema 
 
 ; 
 import 
  
 com.google.cloud.bigquery. StandardSQLTypeName 
 
 ; 
 import 
  
 com.google.cloud.bigquery. StandardTableDefinition 
 
 ; 
 import 
  
 com.google.cloud.bigquery. TableDefinition 
 
 ; 
 import 
  
 com.google.cloud.bigquery. TableId 
 
 ; 
 import 
  
 com.google.cloud.bigquery. TableInfo 
 
 ; 
 public 
  
 class 
 NestedRepeatedSchema 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 datasetName 
  
 = 
  
 "MY_DATASET_NAME" 
 ; 
  
 String 
  
 tableName 
  
 = 
  
 "MY_TABLE_NAME" 
 ; 
  
 createTableWithNestedRepeatedSchema 
 ( 
 datasetName 
 , 
  
 tableName 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 createTableWithNestedRepeatedSchema 
 ( 
 String 
  
 datasetName 
 , 
  
 String 
  
 tableName 
 ) 
  
 { 
  
 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 
 (); 
  
  TableId 
 
  
 tableId 
  
 = 
  
  TableId 
 
 . 
 of 
 ( 
 datasetName 
 , 
  
 tableName 
 ); 
  
  Schema 
 
  
 schema 
  
 = 
  
  Schema 
 
 . 
 of 
 ( 
  
  Field 
 
 . 
 of 
 ( 
 "id" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 ), 
  
  Field 
 
 . 
 of 
 ( 
 "first_name" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 ), 
  
  Field 
 
 . 
 of 
 ( 
 "last_name" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 ), 
  
  Field 
 
 . 
 of 
 ( 
 "dob" 
 , 
  
  StandardSQLTypeName 
 
 . 
 DATE 
 ), 
  
 // create the nested and repeated field 
  
  Field 
 
 . 
 newBuilder 
 ( 
  
 "addresses" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRUCT 
 , 
  
  Field 
 
 . 
 of 
 ( 
 "status" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 ), 
  
  Field 
 
 . 
 of 
 ( 
 "address" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 ), 
  
  Field 
 
 . 
 of 
 ( 
 "city" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 ), 
  
  Field 
 
 . 
 of 
 ( 
 "state" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 ), 
  
  Field 
 
 . 
 of 
 ( 
 "zip" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 ), 
  
  Field 
 
 . 
 of 
 ( 
 "numberOfYears" 
 , 
  
  StandardSQLTypeName 
 
 . 
 STRING 
 )) 
  
 . 
 setMode 
 ( 
 Mode 
 . 
 REPEATED 
 ) 
  
 . 
 build 
 ()); 
  
  TableDefinition 
 
  
 tableDefinition 
  
 = 
  
  StandardTableDefinition 
 
 . 
 of 
 ( 
 schema 
 ); 
  
  TableInfo 
 
  
 tableInfo 
  
 = 
  
  TableInfo 
 
 . 
 newBuilder 
 ( 
 tableId 
 , 
  
 tableDefinition 
 ). 
 build 
 (); 
  
 bigquery 
 . 
  create 
 
 ( 
 tableInfo 
 ); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Table with nested and repeated schema created successfully" 
 ); 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Table 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 
  
 nestedRepeatedSchema 
 () 
  
 { 
  
 // Creates a new table named "my_table" in "my_dataset" 
  
 // with nested and repeated columns in schema. 
  
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
  
 // const datasetId = "my_dataset"; 
  
 // const tableId = "my_table"; 
  
 // const schema = [ 
  
 //   {name: 'Name', type: 'STRING', mode: 'REQUIRED'}, 
  
 //   { 
  
 //     name: 'Addresses', 
  
 //     type: 'RECORD', 
  
 //     mode: 'REPEATED', 
  
 //     fields: [ 
  
 //       {name: 'Address', type: 'STRING'}, 
  
 //       {name: 'City', type: 'STRING'}, 
  
 //       {name: 'State', type: 'STRING'}, 
  
 //       {name: 'Zip', type: 'STRING'}, 
  
 //     ], 
  
 //   }, 
  
 // ]; 
  
 // For all options, see https://cloud.google.com/bigquery/docs/reference/v2/tables#resource 
  
 const 
  
 options 
  
 = 
  
 { 
  
 schema 
 : 
  
 schema 
 , 
  
 location 
 : 
  
 'US' 
 , 
  
 }; 
  
 // Create a new table in the dataset 
  
 const 
  
 [ 
 table 
 ] 
  
 = 
  
 await 
  
 bigquery 
  
 . 
 dataset 
 ( 
 datasetId 
 ) 
  
 . 
  createTable 
 
 ( 
 tableId 
 , 
  
 options 
 ); 
  
 console 
 . 
 log 
 ( 
 `Table 
 ${ 
 table 
 . 
 id 
 } 
 created.` 
 ); 
 } 
 

  from 
  
 google.cloud 
  
 import 
  bigquery 
 
 client 
 = 
  bigquery 
 
 . 
  Client 
 
 () 
 # TODO(dev): Change table_id to the full name of the table you want to create. 
 table_id 
 = 
 "your-project.your_dataset.your_table_name" 
 schema 
 = 
 [ 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "id" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "first_name" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "last_name" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "dob" 
 , 
 "DATE" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "addresses" 
 , 
 "RECORD" 
 , 
 mode 
 = 
 "REPEATED" 
 , 
 fields 
 = 
 [ 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "status" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "address" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "city" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "state" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "zip" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
  bigquery 
 
 . 
  SchemaField 
 
 ( 
 "numberOfYears" 
 , 
 "STRING" 
 , 
 mode 
 = 
 "NULLABLE" 
 ), 
 ], 
 ), 
 ] 
 table 
 = 
  bigquery 
 
 . 
  Table 
 
 ( 
 table_id 
 , 
 schema 
 = 
 schema 
 ) 
 table 
 = 
 client 
 . 
  create_table 
 
 ( 
 table 
 ) 
 # API request 
 print 
 ( 
 f 
 "Created table 
 { 
 table 
 . 
 project 
 } 
 . 
 { 
 table 
 . 
 dataset_id 
 } 
 . 
 { 
 table 
 . 
 table_id 
 } 
 ." 
 )