Create materialized view

Create a materialized view.

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For detailed documentation that includes this code sample, see the following:

Code sample

Go

Before trying this sample, follow the Go setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Go API reference documentation .

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "cloud.google.com/go/bigquery" 
 ) 
 // createMaterializedView demonstrates generated a materialized view based on an existing 
 // base table. 
 func 
  
 createMaterializedView 
 ( 
 projectID 
 , 
  
 datasetID 
 , 
  
 baseTableID 
 , 
  
 viewID 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 // datasetID := "mydatasetid" 
  
 // baseTableID := "mytableid" 
  
 // viewID := "myviewid" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 bigquery 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 projectID 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "bigquery.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 // Get an appropriately escaped table identifier suitable for use in a standard SQL query. 
  
 tableStr 
 , 
  
 err 
  
 := 
  
 client 
 . 
 Dataset 
 ( 
 datasetID 
 ). 
 Table 
 ( 
 baseTableID 
 ). 
 Identifier 
 ( 
 bigquery 
 . 
  StandardSQLID 
 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "couldn't construct identifier: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 metaData 
  
 := 
  
& bigquery 
 . 
  TableMetadata 
 
 { 
  
 MaterializedView 
 : 
  
& bigquery 
 . 
  MaterializedViewDefinition 
 
 { 
  
 Query 
 : 
  
 fmt 
 . 
 Sprintf 
 ( 
 `SELECT MAX(TimestampField) AS TimestampField, StringField, 
 MAX(BooleanField) AS BooleanField FROM %s GROUP BY StringField` 
 , 
  
 tableStr 
 ), 
  
 }} 
  
 viewRef 
  
 := 
  
 client 
 . 
 Dataset 
 ( 
 datasetID 
 ). 
 Table 
 ( 
 viewID 
 ) 
  
 if 
  
 err 
  
 := 
  
 viewRef 
 . 
 Create 
 ( 
 ctx 
 , 
  
 metaData 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 return 
  
 nil 
 } 
 

Java

Before trying this sample, follow the Java setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Java API reference documentation .

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  import 
  
 com.google.cloud.bigquery. BigQuery 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQueryException 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQueryOptions 
 
 ; 
 import 
  
 com.google.cloud.bigquery. MaterializedViewDefinition 
 
 ; 
 import 
  
 com.google.cloud.bigquery. TableId 
 
 ; 
 import 
  
 com.google.cloud.bigquery. TableInfo 
 
 ; 
 // Sample to create materialized view 
 public 
  
 class 
 CreateMaterializedView 
  
 { 
  
 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" 
 ; 
  
 String 
  
 materializedViewName 
  
 = 
  
 "MY_MATERIALIZED_VIEW_NAME" 
 ; 
  
 String 
  
 query 
  
 = 
  
 String 
 . 
 format 
 ( 
  
 "SELECT MAX(TimestampField) AS TimestampField, StringField, " 
  
 + 
  
 "MAX(BooleanField) AS BooleanField " 
  
 + 
  
 "FROM %s.%s GROUP BY StringField" 
 , 
  
 datasetName 
 , 
  
 tableName 
 ); 
  
 createMaterializedView 
 ( 
 datasetName 
 , 
  
 materializedViewName 
 , 
  
 query 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 createMaterializedView 
 ( 
  
 String 
  
 datasetName 
 , 
  
 String 
  
 materializedViewName 
 , 
  
 String 
  
 query 
 ) 
  
 { 
  
 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 
 , 
  
 materializedViewName 
 ); 
  
  MaterializedViewDefinition 
 
  
 materializedViewDefinition 
  
 = 
  
  MaterializedViewDefinition 
 
 . 
 newBuilder 
 ( 
 query 
 ). 
 build 
 (); 
  
 bigquery 
 . 
  create 
 
 ( 
 TableInfo 
 . 
 of 
 ( 
 tableId 
 , 
  
 materializedViewDefinition 
 )); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Materialized view created successfully" 
 ); 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Materialized view was not created. \n" 
  
 + 
  
 e 
 . 
 toString 
 ()); 
  
 } 
  
 } 
 } 
 

Python

Before trying this sample, follow the Python setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Python API reference documentation .

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  from 
  
 google.cloud 
  
 import 
  bigquery 
 
 bigquery_client 
 = 
  bigquery 
 
 . 
  Client 
 
 () 
 view_id 
 = 
 "my-project.my_dataset.my_materialized_view" 
 base_table_id 
 = 
 "my-project.my_dataset.my_base_table" 
 view 
 = 
  bigquery 
 
 . 
  Table 
 
 ( 
 view_id 
 ) 
  view 
 
 . 
  mview_query 
 
 = 
 f 
 """ 
 SELECT product_id, SUM(clicks) AS sum_clicks 
 FROM  ` 
 { 
 base_table_id 
 } 
 ` 
 GROUP BY 1 
 """ 
 # Make an API request to create the materialized view. 
 view 
 = 
 bigquery_client 
 . 
  create_table 
 
 ( 
 view 
 ) 
 print 
 ( 
 f 
 "Created 
 { 
  view 
 
 . 
 table_type 
 } 
 : 
 { 
 str 
 ( 
  view 
 
 . 
 reference 
 ) 
 } 
 " 
 ) 
 

Terraform

To learn how to apply or remove a Terraform configuration, see Basic Terraform commands . For more information, see the Terraform provider reference documentation .

  resource 
  
 "google_bigquery_dataset" 
  
 "default" 
  
 { 
  
 dataset_id 
  
 = 
  
 "mydataset" 
  
 default_partition_expiration_ms 
  
 = 
  
 2592000000 
 # 30 days 
  
 default_table_expiration_ms 
  
 = 
  
 31536000000 
 # 365 days 
  
 description 
  
 = 
  
 "dataset description" 
  
 location 
  
 = 
  
 "US" 
  
 max_time_travel_hours 
  
 = 
  
 96 
 # 4 days 
  
 labels 
  
 = 
  
 { 
  
 billing_group 
  
 = 
  
 "accounting" 
 , 
  
 pii 
  
 = 
  
 "sensitive" 
  
 } 
 } 
 resource 
  
 "google_bigquery_table" 
  
 "default" 
  
 { 
  
 dataset_id 
  
 = 
  
 google_bigquery_dataset.default.dataset_id 
  
 table_id 
  
 = 
  
 "my_materialized_view" 
  
 deletion_protection 
  
 = 
  
 false 
 # set to "true" in production 
  
 materialized_view 
  
 { 
  
 query 
  
 = 
  
 "SELECT ID, description, date_created FROM `myproject.orders.items`" 
  
 enable_refresh 
  
 = 
  
 "true" 
  
 refresh_interval_ms 
  
 = 
  
 172800000 
 # 2 days 
  
 allow_non_incremental_definition 
  
 = 
  
 "false" 
  
 } 
 } 
 

What's next

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