usingGoogle.Apis.Bigquery.v2.Data;usingGoogle.Cloud.BigQuery.V2;publicclassBigQueryCreateTableRangePartitioned{publicBigQueryTableCreateTable(stringprojectId,stringdatasetId,stringtableId){BigQueryClientclient=BigQueryClient.Create(projectId);vardataset=client.GetDataset(datasetId);// Note: The field must be a top- level, NULLABLE/REQUIRED field.// The only supported type is INTEGER/INT64.varpartitioning=newRangePartitioning{Field="integerField",Range=newRangePartitioning.RangeData{Start=1,Interval=2,End=10}};varschema=newTableSchemaBuilder{{"integerField",BigQueryDbType.Int64},{"stringField",BigQueryDbType.String},{"booleanField",BigQueryDbType.Bool},{"dateField",BigQueryDbType.Date}}.Build();vartable=newTable{RangePartitioning=partitioning,Schema=schema};returndataset.CreateTable(tableId,table);}}

import("context""fmt""cloud.google.com/go/bigquery")// createTableRangeParitioned demonstrates creating a table and specifying a// range partitioning configuration.funccreateTableRangePartitioned(projectID,datasetID,tableIDstring)error{// projectID := "my-project-id"// datasetID := "mydatasetid"// tableID := "mytableid"ctx:=context.Background()client,err:=bigquery.NewClient(ctx,projectID)iferr!=nil{returnfmt.Errorf("bigquery.NewClient: %w",err)}deferclient.Close()sampleSchema:=bigquery.Schema{{Name:"full_name",Type:bigquery.StringFieldType},{Name:"city",Type:bigquery.StringFieldType},{Name:"zipcode",Type:bigquery.IntegerFieldType},}metadata:=&bigquery.TableMetadata{RangePartitioning:&bigquery.RangePartitioning{Field:"zipcode",Range:&bigquery.RangePartitioningRange{Start:0,End:100000,Interval:10,},},Schema:sampleSchema,}tableRef:=client.Dataset(datasetID).Table(tableID)iferr:=tableRef.Create(ctx,metadata);err!=nil{returnerr}returnnil}

importcom.google.cloud.bigquery.BigQuery;importcom.google.cloud.bigquery.BigQueryException;importcom.google.cloud.bigquery.BigQueryOptions;importcom.google.cloud.bigquery.Field;importcom.google.cloud.bigquery.RangePartitioning;importcom.google.cloud.bigquery.Schema;importcom.google.cloud.bigquery.StandardSQLTypeName;importcom.google.cloud.bigquery.StandardTableDefinition;importcom.google.cloud.bigquery.TableId;importcom.google.cloud.bigquery.TableInfo;// Sample to create a range partitioned tablepublicclassCreateRangePartitionedTable{publicstaticvoidmain(String[]args){// TODO(developer): Replace these variables before running the sample.StringdatasetName="MY_DATASET_NAME";StringtableName="MY_TABLE_NAME";Schemaschema=Schema.of(Field.of("integerField",StandardSQLTypeName.INT64),Field.of("stringField",StandardSQLTypeName.STRING),Field.of("booleanField",StandardSQLTypeName.BOOL),Field.of("dateField",StandardSQLTypeName.DATE));createRangePartitionedTable(datasetName,tableName,schema);}publicstaticvoidcreateRangePartitionedTable(StringdatasetName,StringtableName,Schemaschema){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.BigQuerybigquery=BigQueryOptions.getDefaultInstance().getService();TableIdtableId=TableId.of(datasetName,tableName);// Note: The field must be a top- level, NULLABLE/REQUIRED field.// The only supported type is INTEGER/INT64RangePartitioningpartitioning=RangePartitioning.newBuilder().setField("integerField").setRange(RangePartitioning.Range.newBuilder().setStart(1L).setInterval(2L).setEnd(10L).build()).build();StandardTableDefinitiontableDefinition=StandardTableDefinition.newBuilder().setSchema(schema).setRangePartitioning(partitioning).build();TableInfotableInfo=TableInfo.newBuilder(tableId,tableDefinition).build();bigquery.create(tableInfo);System.out.println("Range partitioned table created successfully");}catch(BigQueryExceptione){System.out.println("Range partitioned table was not created. \n"+e.toString());}}}

// Import the Google Cloud client libraryconst{BigQuery}=require('@google-cloud/bigquery');constbigquery=newBigQuery();asyncfunctioncreateTableRangePartitioned(){// Creates a new integer range partitioned 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";constschema=[{name:'fullName',type:'STRING'},{name:'city',type:'STRING'},{name:'zipcode',type:'INTEGER'},];// To use integer range partitioning, select a top-level REQUIRED or// NULLABLE column with INTEGER / INT64 data type. Values that are// outside of the range of the table will go into the UNPARTITIONED// partition. Null values will be in the NULL partition.constrangePartition={field:'zipcode',range:{start:0,end:100000,interval:10,},};// For all options, see https://cloud.google.com/bigquery/docs/reference/v2/tables#resourceconstoptions={schema:schema,rangePartitioning:rangePartition,};// Create a new table in the datasetconst[table]=awaitbigquery.dataset(datasetId).createTable(tableId,options);console.log(`Table${table.id} created with integer range partitioning: `);console.log(table.metadata.rangePartitioning);}

fromgoogle.cloudimportbigquery# Construct a BigQuery client object.client=bigquery.Client()# TODO(developer): Set table_id to the ID of the table to create.# table_id = "your-project.your_dataset.your_table_name"schema=[bigquery.SchemaField("full_name","STRING"),bigquery.SchemaField("city","STRING"),bigquery.SchemaField("zipcode","INTEGER"),]table=bigquery.Table(table_id,schema=schema)table.range_partitioning=bigquery.RangePartitioning(# To use integer range partitioning, select a top-level REQUIRED /# NULLABLE column with INTEGER / INT64 data type.field="zipcode",range_=bigquery.PartitionRange(start=0,end=100000,interval=10),)table=client.create_table(table)# Make an API request.print("Created table{}.{}.{}".format(table.project,table.dataset_id,table.table_id))

require"google/cloud/bigquery"### Creates a table with range partitioning.## @param dataset_id [String] The ID of the dataset to create the table in.# @param table_id   [String] The ID of the table to create.defcreate_range_partitioned_tabledataset_id,table_idbigquery=Google::Cloud::Bigquery.newdataset=bigquery.datasetdataset_idtable=dataset.create_tabletable_iddo|t|t.schemado|s|s.integer"integerField",mode::requireds.string"stringField",mode::nullables.boolean"booleanField",mode::nullables.date"dateField",mode::nullableendt.range_partitioning_field="integerField"t.range_partitioning_start=1t.range_partitioning_interval=2t.range_partitioning_end=10endputs"Created range-partitioned table:#{table.table_id}"end

resource"google_bigquery_dataset""default"{dataset_id="mydataset"default_partition_expiration_ms=2592000000  # 30 daysdefault_table_expiration_ms=31536000000 # 365 daysdescription="dataset description"location="US"max_time_travel_hours=96 # 4 dayslabels={billing_group="accounting",pii="sensitive"}}resource"google_bigquery_table""default"{dataset_id=google_bigquery_dataset.default.dataset_idtable_id="mytable"deletion_protection=false # set to "true" in productionrange_partitioning{field="ID"range{start=0end=1000interval=10}}require_partition_filter=trueschema=<<EOF[{"name":"ID","type":"INT64","description":"Item ID"},{"name":"Item","type":"STRING","mode":"NULLABLE"}]EOF}