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-- Syntax for SQL Server and Azure SQL Database ALTER TABLE [ database_name . ] type_name [ ( { precision [ , scale ] | max | xml_schema_collection } ) ] [ COLLATE collation_name ] [ NULL | NOT NULL ] [ SPARSE ] | { ADD | DROP } { ROWGUIDCOL | PERSISTED | NOT FOR REPLICATION | SPARSE | HIDDEN } | { ADD | DROP } MASKED [ WITH ( FUNCTION = ' mask_function ') ] } [ WITH ( ONLINE = ON | OFF ) ] | [ WITH { CHECK | NOCHECK } ] | ADD { } [ ,...n ] | [ system_start_time_column_name datetime2 GENERATED ALWAYS AS ROW START [ HIDDEN ] [ NOT NULL ] [ CONSTRAINT constraint_name ] DEFAULT constant_expression [WITH VALUES] , system_end_time_column_name datetime2 GENERATED ALWAYS AS ROW END [ HIDDEN ] [ NOT NULL ] [ CONSTRAINT constraint_name ] DEFAULT constant_expression [WITH VALUES] , ] PERIOD FOR SYSTEM_TIME ( system_start_time_column_name, system_end_time_column_name ) | DROP [ { [ CONSTRAINT ] [ IF EXISTS ] { constraint_name [ WITH ( [ ,...n ] ) ] } [ ,...n ] | COLUMN [ IF EXISTS ] { column_name } [ ,...n ] | PERIOD FOR SYSTEM_TIME } [ ,...n ] | [ WITH { CHECK | NOCHECK } ] { CHECK | NOCHECK } CONSTRAINT { ALL | constraint_name [ ,...n ] } | { ENABLE | DISABLE } TRIGGER { ALL | trigger_name [ ,...n ] } | { ENABLE | DISABLE } CHANGE_TRACKING [ WITH ( TRACK_COLUMNS_UPDATED = { ON | OFF } ) ] | SWITCH [ PARTITION source_partition_number_expression ] TO target_table [ PARTITION target_partition_number_expression ] [ WITH ( ) ] | SET ( [ FILESTREAM_ON = { partition_scheme_name | filegroup | "default" | "NULL" } ] | SYSTEM_VERSIONING = { OFF | ON [ ( HISTORY_TABLE = schema_name . ] source_table_name { ALTER COLUMN column_name { type_name [ ( precision [ , scale ] ) ] [ COLLATE Windows_collation_name ] [ NULL | NOT NULL ] } | ADD { Is the name of the table to be altered. ] table_name { ALTER COLUMN column_name { [ type_schema_name.history_table_name [, DATA_CONSISTENCY_CHECK = { ON | OFF } ] ) ] } ) | REBUILD [ [PARTITION = ALL] [ WITH ( -- Syntax for Azure SQL Data Warehouse and Parallel Data Warehouse ALTER TABLE [ database_name . If the table is not in the current database or is not contained by the schema owned by the current user, the database and schema must be explicitly specified.

A columns included in a primary key constraint, cannot be changed from NOT NULL to NULL.

If the column being modified is encrypted using ENCRYPTED WITH, you can change the datatype to a compatible datatype (such as INT to BIGINT) but you cannot change any encryption settings. For more information about valid scale values, see Precision, Scale, and Length (Transact-SQL)Applies only to the varchar, nvarchar, and varbinary data types for storing 2^31-1 bytes of character, binary data, and of Unicode data.

The modified column cannot be any one of the following: Some data type changes may cause a change in the data.

For example, changing an nchar or nvarchar column to char or varchar may cause the conversion of extended characters.

For more information, see CAST and CONVERT (Transact-SQL).

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