I was having fun testing out the columnstore index feature of sql server 2012. Because you can't update/insert tables with such indices I read on some options: keep a separate table and use a new partition for every bulk insert or disable the index, perform updates/inserts and then rebuild the index.
For my test I chose the latter option and ended up with this stored procedure:
-- Disable the columnstore index.
ALTER INDEX [All_Columns_Columnstore_Index] ON [dbo].[Tick] DISABLE
-- Insert data into tick table from staging table.
insert into Tick
select [Date],
SymbolID,
Price
from TickTemporary
-- Delete data from staging table.
delete from TickTemporary
-- Enable (rebuild) the columnstore index.
ALTER INDEX [All_Columns_Columnstore_Index] ON [dbo].[Tick] REBUILD
If I execute these lines manually everything works fine. But if I run the procedure, I get the error that updates/inserts can't be performed on a table that has a columnstore index.
Why is this?
Update:
I followed the advice in the answer I previously accepted but I still get the same thing.
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
-- Disable the columnstore index.
EXEC DisableColumnStoreIndex
-- Insert data into tick table from staging table.
insert into Tick
select [Date],
SymbolID,
Price
from TickTemporary
-- Delete data from staging table.
delete from TickTemporary
-- Enable (rebuild) the columnstore index.
EXEC RebuildColumnStoreIndex
Even tried placing "begin tran" and "commit tran" around the sproc calls.
Using dynamic sql like:
declare #sql nvarchar(max)
set #sql =
'insert into Tick
select [Date],
SymbolID,
Price
from TickTemporary'
exec(#sql)
works, but really, I want to get by without dynamic sql. Isn't it possible in this case?
The check is done at compile time, not at execution time. Separate the procedure into it's own, or use dynamic SQL.
But as a general comment this is not the right approach. You should insert into a different table with identical structure, build the columnstore index on this identical table, then use partition switch to replace the old table with the new table: switch out the old table with an empty one, switch in the new table, drop the old data switched out. Similar to the procedure described in How to Update a table with a Columnstore Index. Because of the use of partition switch the users of your table experience a much shorter downtime, as the old table is still online and available during the insert and during the build columnstore stages.
Solution For This compile time execution is Option(recompile)
create PROCEDURE TEST
AS
BEGIN
ALTER INDEX [All_Columns_Columnstore_Index] ON [dbo].[Tick] DISABLE
-- Insert data into tick table from staging table.
insert into Tick
select [Date],
SymbolID,
Price
from TickTemporary **Option(recompile)**
-- Delete data from staging table.
delete from TickTemporary
-- Enable (rebuild) the columnstore index.
ALTER INDEX [All_Columns_Columnstore_Index] ON [dbo].[Tick] REBUILD
End
Related
We need to change the data type of about 10 primary keys in our db from numeric(19,0) to bigint. On the smaller tables a simple update of the datatype works just fine but on the larger tables (60-70 million rows) it takes a considerable amount of time.
What is the fastest way to achieve this, preferably without locking the database.
I've written a script that generates the following (which I believe I got from a different SO post)
--Add a new temporary column to store the changed value.
ALTER TABLE query_log ADD id_bigint bigint NULL;
GO
CREATE NONCLUSTERED INDEX IX_query_log_id_bigint ON query_log (id_bigint)
INCLUDE (id); -- the include only works on SQL 2008 and up
-- This index may help or hurt performance, I'm not sure... :)
GO
declare #count int
declare #iteration int
declare #progress int
set #iteration = 0
set #progress = 0
select #count = COUNT(*) from query_log
RAISERROR ('Processing %d records', 0, 1, #count) WITH NOWAIT
-- Update the table in batches of 10000 at a time
WHILE 1 = 1 BEGIN
UPDATE X -- Updating a derived table only works on SQL 2005 and up
SET X.id_bigint = id
FROM (
SELECT TOP 10000 * FROM query_log WHERE id_bigint IS NULL
) X;
IF ##RowCount = 0 BREAK;
set #iteration = #iteration + 1
set #progress = #iteration * 10000
RAISERROR ('processed %d of %d records', 0, 1, #progress, #count) WITH NOWAIT
END;
GO
--kill the pkey on the old column
ALTER TABLE query_log
DROP CONSTRAINT PK__query_log__53833672
GO
BEGIN TRAN; -- now do as *little* work as possible in this blocking transaction
UPDATE T -- catch any updates that happened after we touched the row
SET T.id_bigint = T.id
FROM query_log T WITH (TABLOCKX, HOLDLOCK)
WHERE T.id_bigint <> T.id;
-- The lock hints ensure everyone is blocked until we do the switcheroo
EXEC sp_rename 'query_log.id', 'id_numeric';
EXEC sp_rename 'query_log.id_bigint', 'id';
COMMIT TRAN;
GO
DROP INDEX IX_query_log_id_bigint ON query_log;
GO
ALTER TABLE query_log ALTER COLUMN id bigint NOT NULL;
GO
/*
ALTER TABLE query_log DROP COLUMN id_numeric;
GO
*/
ALTER TABLE query_log
ADD CONSTRAINT PK_query_log PRIMARY KEY (id)
GO
This works very well for the smaller tables but is extremely slow going for the very large tables.
Note this is in preparation for a migration to Postgres and the EnterpriseDB Migration toolkit doesn't seem to understand the numeric(19,0) datatype
If is not possible to change a primary key without locking. The fastest way with the least impact is to create a new table with the new columns and primary keys without foreign keys and indexes. Then batch insert blocks of data in sequential order relative to their primary key(s). When that is finished, add your indexes, then foreign keys back. Finally, drop or rename the old table and rename your new table to the systems expected table name.
In practice your approach will have to vary based on how many records are inserted, updated, and/or deleted. If you're only inserting then you can perform the initial load, and top of the table just before your swap.
This approach should provide the fastest migration, minimal logs, and very little fragmentation on your table and indexes.
You have to remember that every time you modify a record, the data is being modified, indexes are being modified, and foreign keys are being checked. All within one implicit or explicit transaction. The table and/or row(s) will be locked while all changes are made. Even if your database is set to simple logging, the server will still write all changes to the log files. Updates actually are a delete paired with an insert so it is not possible to prevent fragmentation during any other process.
I am using partition switching to rebuild indexes on a staging table without dropping them on the partitioned table as in microsoft's article.
I have what boils down to
BEGIN TRAN
ALTER INDEX IX_Working ON dbo.WorkingTable DISABLE
INSERT INTO dbo.WorkingTable ( Id, PartitionColumn, Values...)
SELECT Id, PartitionColumn, Values...
FROM PartitionedTable WITH (HOLDLOCK)
WHERE PartitionColumn <= #rightboundary
AND PartitionColumn > #leftboundary
INSERT INTO WorkingTable ( Id, PartitionColumn, Values...)
SELECT Id, PartitionColumn, Values...
FROM Imports
ALTER INDEX IX_Working ON WorkingTable REBUILD -- SLOW BIT
ALTER TABLE PartitionedTable SWITCH PARTITION #partition TO SwapTable
ALTER TABLE WorkingTable SWITCH TO PartitionedTable PARTITION #partition
TRUNCATE TABLE SwapTable
COMMIT
Now during this operation I need to block any updates to the partition being reindexed but still allow them on other partitions. The PartionedTable has lock escalation set to auto. I am trying to do this with the HOLDLOCK but I'm still able to do INSERT INTO PartionedTable (Id, #somevalueInTheRange, Values...) from another connection during the slow bit.
How can I block this while still allowing selects?
Can you try to use TABLOCKX along with HOLDLOCK? currently the select will put an SHARED lock which is not released because of HOLDLOCK. But SHARED lock wont prevent inserts.
Is it possible to add a column to a table at a specific ordinal position in Microsoft SQL Server?
For instance, our tables always have CreatedOn, CreatedBy, LastModifiedOn, LastModifiedBy columns at the "end" of each table definition? I'd like the new column to show up in SSMS above these columns.
If I am scripting all my database changes, is there a way to preserve this order at the end of the table?
FYI, I'm not trying to institute a flame war on if this should even be done. If you want to read about a thread that degenerates quickly into that, here's a good one:
http://www.developersdex.com/sql/message.asp?p=581&r=5014513
You have to create a temp table that mirrors the original table's schema but with the column order that you want, then copy the contents of the original to temp. Delete the original and rename the temp.
This is what SQL Management Studio does behind the scenes.
With a schema sync tool, you can generate these scripts automatically.
go into SQL Server management Studio, and "design" an existing table. Insert a column in the middle, right click in an empty area and select Generate Change Script...
Now look at the script it creates. it will basically create a temp table with the proper column order, insert the data from the original table, drop the original table, and rename the temp table. This is probably what you'll need to do.
You may also need to uncheck this option to allow creation of change scripts
The answer is yes, it is technically possible, but you will have a headache doing so and it will take a long time to execute and set up.
One: Create/Copy/Drop/Rename
This is actually what SQL Server is doing in the graphical interface: here's an example of the script it is generating and executing when you click the 'save' button after adding a new column to the beginning of a table.
/* To prevent any potential data loss issues, you should review this script in detail before running it outside the context of the database designer.*/
BEGIN TRANSACTION
SET QUOTED_IDENTIFIER ON
SET ARITHABORT ON
SET NUMERIC_ROUNDABORT OFF
SET CONCAT_NULL_YIELDS_NULL ON
SET ANSI_NULLS ON
SET ANSI_PADDING ON
SET ANSI_WARNINGS ON
COMMIT
BEGIN TRANSACTION
GO
CREATE TABLE dbo.Tmp_SomeTable
(
MyNewColumn int NOT NULL,
OriginalIntColumn int NULL,
OriginalVarcharColumn varchar(100) NULL
) ON [PRIMARY]
TEXTIMAGE_ON [PRIMARY]
GO
ALTER TABLE dbo.Tmp_SomeTable SET (LOCK_ESCALATION = TABLE)
GO
SET IDENTITY_INSERT dbo.Tmp_SomeTable ON
GO
IF EXISTS(SELECT * FROM dbo.SomeTable)
EXEC('INSERT INTO dbo.Tmp_SomeTable (OriginalIntColumn, OriginalVarcharColumn FROM dbo.SomeTable WITH (HOLDLOCK TABLOCKX)')
GO
SET IDENTITY_INSERT dbo.Tmp_SomeTable OFF
GO
DROP TABLE dbo.SomeTable
GO
EXECUTE sp_rename N'dbo.Tmp_SomeTable', N'SomeTable', 'OBJECT'
GO
GO
COMMIT
Two: ADD COLUMN / UPDATE / DROP COLUMN / RENAME
This method basically involves creating a copy of any existing columns that you want to add to the 'right' of your new column, transferring the data to the new column, then dropping the originals and renaming the new ones. This will play havoc with any indexes or constraints you have, since you have to repoint them. It's technically possible, but again time-consuming both in terms of development and execution.
CREATE TABLE MyTest (a int, b int, d int, e int)
INSERT INTO MyTest (a,b,d,e) VALUES(1,2,4,5)
SELECT * FROM MyTest -- your current table
ALTER TABLE MyTest ADD c int -- add a new column
ALTER TABLE MyTest ADD d_new int -- create copies of the existing columns you want to move
ALTER TABLE MyTest ADD e_new int
UPDATE MyTest SET d_new = d, e_new = e -- transfer data to the new columns
ALTER TABLE MyTest DROP COLUMN d -- remove the originals
ALTER TABLE MyTest DROP COLUMN e
EXEC SP_RENAME 'MyTest.d_new', 'd'; -- rename the new columns
EXEC SP_RENAME 'MyTest.e_new', 'e';
SELECT * FROM MyTest
DROP TABLE MyTest -- clean up the sample
Three: Live with it
This mightily offends my sense of order ... but sometimes, it just isn't worth reshuffling.
To my knowledge there is no known method to change the order of the column. Behind the scenes SQL Management Studio does what Jose Basilio said. And if you have a big table then it is impractical to change the column orders like this way.
You can use a "view". With SQL views you can use any order you like without getting affected by the table column changes.
I am using SSMS 18. I did in simple way
Opened design of table
positioning the required column by dragging it
And as per the answer from KM (second in thread) - uncheck the option to allow creation of change scripts refer image above.
Save the changes.
Done. Check your table now.
TFS 2013 will do this for you automatically.
Add the new column(s) to your table anyway you like, and then commit your changes to TFS. From there you can open the table's sql file in Visual Studio and manually move the order of the columns in the T-SQL CREATE script. Then you can update your target database by using VS's schema compare tool found under Tools > SQL Server > New Schema Comparison. Choose your Database project with your change as the source, and the database you want to update as the target. Compare, select the table's script, and Update. VS will drop and add automatically. All your data will be safe, and indexes too.
What i think is simple is to add the column ALTER TABLE table1 ADD .. and then create a tmp table like tmp_table1 from the select like
SELECT col1,col2,col5,col3,col4 into tmp_table1 from table1;
and then drop table1 and rename the tmp_table1 to table1, that is it. I hope it will help someone
Select all the columns into a temp table, and create a new table with the new column you want. Then drop the old table, select all the columns from the temp table, and insert them into the new table with the reordered column. No data is lost.
SELECT * FROM TEMP
SELECT * FROM originaltbl
SELECT * FROM #Stagintbl
DECLARE #ColumnName nvarchar(max);
SET #ColumnName=(SELECT
DISTINCT STUFF((
SELECT ',' + a.COLUMN_NAME
FROM (
SELECT Column_name
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME='originaltbl') a
for xml path('')
),1,1,'') AS ColumnName)
DECLARE #Sqlquery nvarchar(max)
SET #Sqlquery = 'SELECT ' + #ColumnName + ' FROM #Stagintbl' + '';
INSERT INTO originaltbl
EXECUTE(#Sqlquery)
Dirty and simple.
Export table to csv.
Insert new data at desired position.
Drop table.
Create new table with desired column specifications.
Load columns from csv to new table.
I am not sure if the thread is still active. I was having the same query with MySQL database. Right clicking the table and selecting 'ALTER' auto generated the below code. Sample provided from sakila db and it worked. Just find out the column after which you want to place your new column and use 'AFTER' keyword
ALTER TABLE `sakila`.`actor`
CHANGE COLUMN `middle_name` `middle_name` VARCHAR(50) NULL DEFAULT NULL AFTER `first_name`;
To add a NOT NULL Column to a table with many records, a DEFAULT constraint needs to be applied. This constraint causes the entire ALTER TABLE command to take a long time to run if the table is very large. This is because:
Assumptions:
The DEFAULT constraint modifies existing records. This means that the db needs to increase the size of each record, which causes it to shift records on full data-pages to other data-pages and that takes time.
The DEFAULT update executes as an atomic transaction. This means that the transaction log will need to be grown so that a roll-back can be executed if necessary.
The transaction log keeps track of the entire record. Therefore, even though only a single field is modified, the space needed by the log will be based on the size of the entire record multiplied by the # of existing records. This means that adding a column to a table with small records will be faster than adding a column to a table with large records even if the total # of records are the same for both tables.
Possible solutions:
Suck it up and wait for the process to complete. Just make sure to set the timeout period to be very long. The problem with this is that it may take hours or days to do depending on the # of records.
Add the column but allow NULL. Afterward, run an UPDATE query to set the DEFAULT value for existing rows. Do not do UPDATE *. Update batches of records at a time or you'll end up with the same problem as solution #1. The problem with this approach is that you end up with a column that allows NULL when you know that this is an unnecessary option. I believe that there are some best practice documents out there that says that you should not have columns that allow NULL unless it's necessary.
Create a new table with the same schema. Add the column to that schema. Transfer the data over from the original table. Drop the original table and rename the new table. I'm not certain how this is any better than #1.
Questions:
Are my assumptions correct?
Are these my only solutions? If so, which one is the best? I f not, what else could I do?
I ran into this problem for my work also. And my solution is along #2.
Here are my steps (I am using SQL Server 2005):
1) Add the column to the table with a default value:
ALTER TABLE MyTable ADD MyColumn varchar(40) DEFAULT('')
2) Add a NOT NULL constraint with the NOCHECK option. The NOCHECK does not enforce on existing values:
ALTER TABLE MyTable WITH NOCHECK
ADD CONSTRAINT MyColumn_NOTNULL CHECK (MyColumn IS NOT NULL)
3) Update the values incrementally in table:
GO
UPDATE TOP(3000) MyTable SET MyColumn = '' WHERE MyColumn IS NULL
GO 1000
The update statement will only update maximum 3000 records. This allow to save a chunk of data at the time. I have to use "MyColumn IS NULL" because my table does not have a sequence primary key.
GO 1000 will execute the previous statement 1000 times. This will update 3 million records, if you need more just increase this number. It will continue to execute until SQL Server returns 0 records for the UPDATE statement.
Here's what I would try:
Do a full backup of the database.
Add the new column, allowing nulls - don't set a default.
Set SIMPLE recovery, which truncates the tran log as soon as each batch is committed.
The SQL is: ALTER DATABASE XXX SET RECOVERY SIMPLE
Run the update in batches as you discussed above, committing after each one.
Reset the new column to no longer allow nulls.
Go back to the normal FULL recovery.
The SQL is: ALTER DATABASE XXX SET RECOVERY FULL
Backup the database again.
The use of the SIMPLE recovery model doesn't stop logging, but it significantly reduces its impact. This is because the server discards the recovery information after every commit.
You could:
Start a transaction.
Grab a write lock on your original table so no one writes to it.
Create a shadow table with the new schema.
Transfer all the data from the original table.
execute sp_rename to rename the old table out.
execute sp_rename to rename the new table in.
Finally, you commit the transaction.
The advantage of this approach is that your readers will be able to access the table during the long process and that you can perform any kind of schema change in the background.
Just to update this with the latest information.
In SQL Server 2012 this can now be carried out as an online operation in the following circumstances
Enterprise Edition only
The default must be a runtime constant
For the second requirement examples might be a literal constant or a function such as GETDATE() that evaluates to the same value for all rows. A default of NEWID() would not qualify and would still end up updating all rows there and then.
For defaults that qualify SQL Server evaluates them and stores the result as the default value in the column metadata so this is independent of the default constraint which is created (which can even be dropped if no longer required). This is viewable in sys.system_internals_partition_columns. The value doesn't get written out to the rows until next time they happen to get updated.
More details about this here: online non-null with values column add in sql server 2012
Admitted that this is an old question. My colleague recently told me that he was able to do it in one single alter table statement on a table with 13.6M rows. It finished within a second in SQL Server 2012. I was able to confirm the same on a table with 8M rows. Something changed in later version of SQL Server?
Alter table mytable add mycolumn char(1) not null default('N');
I think this depends on the SQL flavor you are using, but what if you took option 2, but at the very end alter table table to not null with the default value?
Would it be fast, since it sees all the values are not null?
If you want the column in the same table, you'll just have to do it. Now, option 3 is potentially the best for this because you can still have the database "live" while this operation is going on. If you use option 1, the table is locked while the operation happens and then you're really stuck.
If you don't really care if the column is in the table, then I suppose a segmented approach is the next best. Though, I really try to avoid that (to the point that I don't do it) because then like Charles Bretana says, you'll have to make sure and find all the places that update/insert that table and modify those. Ugh!
I had a similar problem, and went for your option #2.
It takes 20 minutes this way, as opposed to 32 hours the other way!!! Huge difference, thanks for the tip.
I wrote a full blog entry about it, but here's the important sql:
Alter table MyTable
Add MyNewColumn char(10) null default '?';
go
update MyTable set MyNewColumn='?' where MyPrimaryKey between 0 and 1000000
go
update MyTable set MyNewColumn='?' where MyPrimaryKey between 1000000 and 2000000
go
update MyTable set MyNewColumn='?' where MyPrimaryKey between 2000000 and 3000000
go
..etc..
Alter table MyTable
Alter column MyNewColumn char(10) not null;
And the blog entry if you're interested:
http://splinter.com.au/adding-a-column-to-a-massive-sql-server-table
I had a similar problem and I went with modified #3 approach. In my case the database was in SIMPLE recovery mode and the table to which column was supposed to be added was not referenced by any FK constraints.
Instead of creating a new table with the same schema and copying contents of original table, I used SELECT…INTO syntax.
According to Microsoft (http://technet.microsoft.com/en-us/library/ms188029(v=sql.105).aspx)
The amount of logging for SELECT...INTO depends on the recovery model
in effect for the database. Under the simple recovery model or
bulk-logged recovery model, bulk operations are minimally logged. With
minimal logging, using the SELECT… INTO statement can be more
efficient than creating a table and then populating the table with an
INSERT statement. For more information, see Operations That Can Be
Minimally Logged.
The sequence of steps :
1.Move data from old table to new while adding new column with default
SELECT table.*, cast (‘default’ as nvarchar(256)) new_column
INTO table_copy
FROM table
2.Drop old table
DROP TABLE table
3.Rename newly created table
EXEC sp_rename 'table_copy', ‘table’
4.Create necessary constraints and indexes on the new table
In my case the table had more than 100 million rows and this approach completed faster than approach #2 and log space growth was minimal.
1) Add the column to the table with a default value:
ALTER TABLE MyTable ADD MyColumn int default 0
2) Update the values incrementally in the table (same effect as accepted answer). Adjust the number of records being updated to your environment, to avoid blocking other users/processes.
declare #rowcount int = 1
while (#rowcount > 0)
begin
UPDATE TOP(10000) MyTable SET MyColumn = 0 WHERE MyColumn IS NULL
set #rowcount = ##ROWCOUNT
end
3) Alter the column definition to require not null. Run the following at a moment when the table is not in use (or schedule a few minutes of downtime). I have successfully used this for tables with millions of records.
ALTER TABLE MyTable ALTER COLUMN MyColumn int NOT NULL
I would use CURSOR instead of UPDATE. Cursor will update all matching records in batch, record by record -- it takes time but not locks table.
If you want to avoid locks use WAIT.
Also I am not sure, that DEFAULT constrain changes existing rows.
Probably NOT NULL constrain use together with DEFAULT causes case described by author.
If it changes add it in the end
So pseudocode will look like:
-- without NOT NULL constrain -- we will add it in the end
ALTER TABLE table ADD new_column INT DEFAULT 0
DECLARE fillNullColumn CURSOR LOCAL FAST_FORWARD
SELECT
key
FROM
table WITH (NOLOCK)
WHERE
new_column IS NULL
OPEN fillNullColumn
DECLARE
#key INT
FETCH NEXT FROM fillNullColumn INTO #key
WHILE ##FETCH_STATUS = 0 BEGIN
UPDATE
table WITH (ROWLOCK)
SET
new_column = 0 -- default value
WHERE
key = #key
WAIT 00:00:05 --wait 5 seconds, keep in mind it causes updating only 12 rows per minute
FETCH NEXT FROM fillNullColumn INTO #key
END
CLOSE fillNullColumn
DEALLOCATE fillNullColumn
ALTER TABLE table ALTER COLUMN new_column ADD CONSTRAIN xxx
I am sure that there are some syntax errors, but I hope that this
help to solve your problem.
Good luck!
Vertically segment the table. This means you will have two tables, with the same primary key, and exactly the same number of records... One will be the one you already have, the other will have just the key, and the new Non-Null column (with default value) .
Modify all Insert, Update, and delete code so they keep the two tables in synch... If you want you can create a view that "joins" the two tables together to create a single logical combination of the two that appears like a single table for client Select statements...
Is there an easy way to remove an identity from a table in SQL Server 2005?
When I use Management Studio, it generates a script that creates a mirror table without the identity, copies the data, drops the table, then renames the mirror table, etc. This script has 5231 lines in it because this table/column have many FK relations.
I'd feel much more comfortable running a simple alter/drop. Any ideas?
EDIT
I think I'm just going to go with the 5,231 line script from Enterprise Manager. However, I'm going to break it up into smaller parts which I can run and control better. This table "behaves" strange, if you try to delete 1 row (even one you just inserted, which is not in any other FK table), you get this error:
delete MyTable where MyPrimaryKey=1234
Msg 8621, Level 17, State 2, Line 1
The query processor ran out of stack space during query optimization. Please simplify the query.
No doubt, all the FKs. We will halt all access to our application and run in single user mode when we make these schema and related application changes. However, we need this to run fast, and I need an idea of how long it will take. I guess that I'll just have to test, test, test.
If you are on SQL Server 2005 or later, you can do this as a simple metadata change (NB: doesn't require an edition supporting partitioning as I originally stated).
Example code pilfered shamelessly from the workaround by Paul White on this Microsoft Connect Item.
USE tempdb;
GO
-- A table with an identity column
CREATE TABLE dbo.Source
(row_id INTEGER IDENTITY PRIMARY KEY NOT NULL, data SQL_VARIANT NULL);
GO
-- Some sample data
INSERT dbo.Source (data)
VALUES (CONVERT(SQL_VARIANT, 4)),
(CONVERT(SQL_VARIANT, 'X')),
(CONVERT(SQL_VARIANT, {d '2009-11-07'})),
(CONVERT(SQL_VARIANT, N'áéíóú'));
GO
-- Remove the identity property
BEGIN TRY;
-- All or nothing
BEGIN TRANSACTION;
-- A table with the same structure as the one with the identity column,
-- but without the identity property
CREATE TABLE dbo.Destination
(row_id INTEGER PRIMARY KEY NOT NULL, data SQL_VARIANT NULL);
-- Metadata switch
ALTER TABLE dbo.Source SWITCH TO dbo.Destination;
-- Drop the old object, which now contains no data
DROP TABLE dbo.Source;
-- Rename the new object to make it look like the old one
EXECUTE sp_rename N'dbo.Destination', N'Source', 'OBJECT';
-- Success
COMMIT TRANSACTION;
END TRY
BEGIN CATCH
-- Bugger!
IF XACT_STATE() <> 0 ROLLBACK TRANSACTION;
PRINT ERROR_MESSAGE();
END CATCH;
GO
-- Test the the identity property has indeed gone
INSERT dbo.Source (row_id, data)
VALUES (5, CONVERT(SQL_VARIANT, N'This works!'))
SELECT row_id,
data
FROM dbo.Source;
GO
-- Tidy up
DROP TABLE dbo.Source;
I don't believe you can directly drop the IDENTITY part of the column. Your best bet is probably to:
add another non-identity column to the table
copy the identity values to that column
drop the original identity column
rename the new column to replace the original column
If the identity column is part of a key or other constraint, you will need to drop those constraints and re-create them after the above operations are complete.
You could add a column to the table that is not an identity column, copy the data, drop the original column, and rename the new column to the old column and recreate the indexes.
Here is a link that shows an example. Still not a simple alter, but it is certainly better than 5231 lines.