Get table properties

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 "cloud.google.com/go/bigquery" 
 ) 
 // printTableInfo demonstrates fetching metadata from a table and printing some basic information 
 // to an io.Writer. 
 func 
  
 printTableInfo 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 projectID 
 , 
  
 datasetID 
 , 
  
 tableID 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 // datasetID := "mydataset" 
  
 // tableID := "mytable" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 bigquery 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 projectID 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "bigquery.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 meta 
 , 
  
 err 
  
 := 
  
 client 
 . 
 Dataset 
 ( 
 datasetID 
 ). 
 Table 
 ( 
 tableID 
 ). 
 Metadata 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 // Print basic information about the table. 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "Schema has %d top-level fields\n" 
 , 
  
 len 
 ( 
 meta 
 . 
  Schema 
 
 )) 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "Description: %s\n" 
 , 
  
 meta 
 . 
 Description 
 ) 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "Rows in managed storage: %d\n" 
 , 
  
 meta 
 . 
 NumRows 
 ) 
  
 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. Table 
 
 ; 
 import 
  
 com.google.cloud.bigquery. TableId 
 
 ; 
 public 
  
 class 
 GetTable 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 projectId 
  
 = 
  
 "bigquery_public_data" 
 ; 
  
 String 
  
 datasetName 
  
 = 
  
 "samples" 
 ; 
  
 String 
  
 tableName 
  
 = 
  
 "shakespeare" 
 ; 
  
 getTable 
 ( 
 projectId 
 , 
  
 datasetName 
 , 
  
 tableName 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 getTable 
 ( 
 String 
  
 projectId 
 , 
  
 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 
 ( 
 projectId 
 , 
  
 datasetName 
 , 
  
 tableName 
 ); 
  
  Table 
 
  
 table 
  
 = 
  
 bigquery 
 . 
  getTable 
 
 ( 
 tableId 
 ); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Table info: " 
  
 + 
  
 table 
 . 
 getDescription 
 ()); 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Table not retrieved. \n" 
  
 + 
  
 e 
 . 
 toString 
 ()); 
  
 } 
  
 } 
 } 
 

  // Import the Google Cloud client library 
 const 
  
 { 
 BigQuery 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/bigquery 
' 
 ); 
 const 
  
 bigquery 
  
 = 
  
 new 
  
  BigQuery 
 
 (); 
 async 
  
 function 
  
 getTable 
 () 
  
 { 
  
 // Retrieves table named "my_table" in "my_dataset". 
  
 /** 
 * TODO(developer): Uncomment the following lines before running the sample 
 */ 
  
 // const datasetId = "my_dataset"; 
  
 // const tableId = "my_table"; 
  
 // Retrieve table reference 
  
 const 
  
 dataset 
  
 = 
  
 bigquery 
 . 
 dataset 
 ( 
 datasetId 
 ); 
  
 const 
  
 [ 
 table 
 ] 
  
 = 
  
 await 
  
 dataset 
 . 
 table 
 ( 
 tableId 
 ). 
 get 
 (); 
  
 console 
 . 
 log 
 ( 
 'Table:' 
 ); 
  
 console 
 . 
 log 
 ( 
 table 
 . 
 metadata 
 . 
 tableReference 
 ); 
 } 
 getTable 
 (); 
 

  use Google\Cloud\BigQuery\BigQueryClient; 
 /** Uncomment and populate these variables in your code */ 
 //$projectId = 'The Google project ID'; 
 //$datasetId = 'The BigQuery dataset ID'; 
 //$tableId   = 'The BigQuery table ID'; 
 $bigQuery = new BigQueryClient([ 
 'projectId' => $projectId, 
 ]); 
 $dataset = $bigQuery->dataset($datasetId); 
 $table = $dataset->table($tableId); 
 

  from 
  
 google.cloud 
  
 import 
  bigquery 
 
 # Construct a BigQuery client object. 
 client 
 = 
  bigquery 
 
 . 
  Client 
 
 () 
 # TODO(developer): Set table_id to the ID of the model to fetch. 
 # table_id = 'your-project.your_dataset.your_table' 
 table 
 = 
 client 
 . 
  get_table 
 
 ( 
 table_id 
 ) 
 # Make an API request. 
 # View table properties 
 print 
 ( 
 "Got table ' 
 {} 
 . 
 {} 
 . 
 {} 
 '." 
 . 
 format 
 ( 
 table 
 . 
 project 
 , 
 table 
 . 
 dataset_id 
 , 
 table 
 . 
 table_id 
 ) 
 ) 
 print 
 ( 
 "Table schema: 
 {} 
 " 
 . 
 format 
 ( 
 table 
 . 
 schema 
 )) 
 print 
 ( 
 "Table description: 
 {} 
 " 
 . 
 format 
 ( 
 table 
 . 
 description 
 )) 
 print 
 ( 
 "Table has 
 {} 
 rows" 
 . 
 format 
 ( 
 table 
 . 
  num_rows 
 
 ))