In this section, you create two new databases. You use the Script As option to create AdventureWorksa. You use the Generate Scripts option to create AdventureWorksb. This option scripts out only the database configuration options. Select the down arrow to open the Replace option. Select Execute to execute the query and create your new AdventureWorksa database. The Introduction page opens. Select Next to open the Chose Objects page. You can select the entire database or specific objects in the database.
Select Script entire database and all database objects. Select Next to open the Set Scripting Options page. Here you can configure where to save the script and some additional advanced options. You can script the data for the database when you select Schema and data for the Types of data to script option. However, this isn't ideal with large databases. It can take more memory than SSMS can allocate. This limitation is okay for small databases. If you want to move data for a larger database, use the Import and Export Wizard.
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W3Schools is Powered by W3. Is only populated if browsing information is requested. Name of the originating database returned by the column in this result. Returns NULL if the database cannot be determined. Name of the originating schema returned by the column in this result. Returns NULL if the schema cannot be determined. Name of the originating table returned by the column in this result.
Returns NULL if the table cannot be determined. Name of the originating column returned by the result column. Returns NULL if the column cannot be determined. Returns 1 if the column is an identity column and 0 if not. Returns NULL if it cannot be determined that the column is an identity column. Returns 1 if the column is part of a unique index including unique and primary constraints and 0 if it is not.
Returns NULL if it cannot be determined that the column is part of a unique index. Returns 1 if the column is updateable and 0 if not. Returns NULL if it cannot be determined that the column is updateable. Returns 1 if the column is a computed column and 0 if not. Returns NULL if it cannot be determined if the column is a computed column. Returns 1 if the column is a sparse column and 0 if not.
Returns NULL if it cannot be determined that the column is a part of a sparse column set. Otherwise it reports NULL. Contains the error number returned by the function. If no error occurred, the column will contain NULL. Contains the severity returned by the function. If this value is not specified, the name of the filetable is used.
Specifies the name of the collation to be applied to the Name column in the FileTable. The collation must be case-insensitive to comply with Windows operating system file naming semantics.
If this value is not specified, the database default collation is used. This collation must be case-insensitive. Specifies the name to be used for the primary key constraint that is automatically created on the FileTable. If this value is not specified, the system generates a name for the constraint.
Enables system versioning of the table if the datatype, nullability constraint, and primary key constraint requirements are met. The system will record the history of each record in the system-versioned table in a separate history table. If the name of a history table is specified during history table creation, you must specify the schema and table name.
If the history table does not exists, the system generates a new history table matching the schema of the current table in the same filegroup as the current table, creating a link between the two tables and enables the system to record the history of each record in the current table in the history table.
By default, the history table is PAGE compressed. If current table is partitioned, the history table is created on default file group because partitioning configuration is not replicated automatically from the current table to the history table. When creating a link to an existing history table, you can choose to perform a data consistency check. This data consistency check ensures that existing records do not overlap. Performing the data consistency check is the default. Using existing history tables with ledger tables is not allowed.
Creates the new table with Stretch Database enabled or disabled. For more info, see Stretch Database. For more info about enabling Stretch for a table, see Enable Stretch Database for a table. Before you enable Stretch for a table, you have to enable Stretch on the server and on the database. For more info, see Enable Stretch Database for a database. Optionally specifies a filter predicate to select rows to migrate from a table that contains both historical and current data.
The predicate must call a deterministic inline table-valued function. For more info, see Enable Stretch Database for a table and Select rows to migrate by using a filter function. If you provide a filter predicate that performs poorly, data migration also performs poorly. For more info, see Disable Stretch Database and bring back remote data.
For more info, see Pause and resume data migration -Stretch Database. Enables retention policy based cleanup of old or aged data from tables within a database. For more information see Enable and Disable Data Retention. The following parameters must be specified for data retention to be enabled.
The following data types are allowed for the filter column. The retention period is specified as a combination of an positive integer value and the date part unit. The value ON indicates that the table is memory optimized. Memory-optimized tables are part of the In-Memory OLTP feature, which is used to optimized the performance of transaction processing.
For more in-depth information about memory-optimized tables see Memory-Optimized Tables. The table schema is persisted but any data updates are not persisted upon a restart or failover of the database.
Indicates the number of buckets that should be created in the hash index. For more information about bucket counts, see Indexes for Memory-Optimized Tables. For details about adding and removing indexes on memory-optimized tables, see Altering Memory-Optimized Tables.
Otherwise, the system creates an updatable ledger table. An updatable ledger table must also be a system-versioned table. An append-only ledger table must contain exactly one column defined with each of the following arguments:. If there is a name conflict with an already defined column, the system will raise an error.
If a view with the specified or generated name exists, the system will raise an error. If the table is an updatable ledger table, the ledger view is created as a union on the table and its history table. Each row in the ledger view represents either the creation or deletion of a row version in the ledger table. The ledger view contains all columns of the ledger table, except the generated always columns listed above.
The ledger view also contains the following additional columns:. Transactions that include creating ledger table are captured in sys. Each of the ledger view option specifies a name of a column, the system will add to the view, in addition to the columns defined in the ledger table.
For information about the number of allowed tables, columns, constraints and indexes, see Maximum Capacity Specifications for SQL Server. Space is generally allocated to tables and indexes in increments of one extent at a time. After it has enough pages to fill a uniform extent, another extent is allocated every time the currently allocated extents become full. You can create local and global temporary tables.
Local temporary tables are visible only in the current session, and global temporary tables are visible to all sessions. Temporary tables cannot be partitioned. If more than one temporary table is created inside a single stored procedure or batch, they must have different names.
All temporary tables are created in the dbo schema. If a local temporary table is created in a stored procedure or application that can be executed at the same time by several sessions, the Database Engine must be able to distinguish the tables created by the different sessions.
The Database Engine does this by internally appending a numeric suffix to each local temporary table name. The full name of a temporary table as stored in the sys. A local temporary table created within a stored procedure or trigger can have the same name as a temporary table that was created before the stored procedure or trigger is called. However, if a query references a temporary table and two temporary tables with the same name exist at that time, it is not defined which table the query is resolved against.
Nested stored procedures can also create temporary tables with the same name as a temporary table that was created by the stored procedure that called it. However, for modifications to resolve to the table that was created in the nested procedure, the table must have the same structure, with the same column names, as the table created in the calling procedure.
This is shown in the following example. If a temporary table is created with a named constraint and the temporary table is created within the scope of a user-defined transaction, only one user at a time can execute the statement that creates the temp table.
For example, if a stored procedure creates a temporary table with a named primary key constraint, the stored procedure cannot be executed simultaneously by multiple users.
Global temporary tables for SQL Server initiated with table name are stored in tempdb and shared among all users' sessions across the whole SQL Server instance. Azure SQL Database supports global temporary tables that are also stored in tempdb and scoped to the database level. This means that global temporary tables are shared for all users' sessions within the same Azure SQL Database.
User sessions from other databases cannot access global temporary tables. Similarly, global temporary stored procedures are also scoped to the database level in Azure SQL Database. See the above section on Temporary Tables.
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