Suppose a table in SQLServer with this structure:
TABLE t (Id INT PRIMARY KEY)
Then I have a stored procedure, which is constantly being called, that works inserting data in this table among other kind of things:
BEGIN TRAN
DECLARE #Id INT = SELECT MAX(Id) + 1 FROM t
INSERT t VALUES (#Id)
...
-- Stuff that gets a long time to get completed
...
COMMIT
The problem with this aproach is sometimes I get a primary key violation because 2 or more procedure calls get and try to insert the same Id on the table.
I have been able to solve this problem adding a tablock in the SELECT sentence:
DECLARE #Id INT = SELECT MAX(Id) + 1 FROM t WITH (TABLOCK)
The problem now is sucessive calls to the procedure must wait to the completion of the transaction currently beeing executed to start their work, allowing just one procedure to run simultaneosly.
Is there any advice or trick to get the lock just during the execution of the select and insert sentence?
Thanks.
TABLOCK is a terrible idea, since you're serialising all the calls (no concurrency).
Note that with an SP you will retain all the locks granted over the run until the SP completes.
So you want to minimise locks except for where you really need them.
Unless you have a special case, use an internally generated id:
CREATE TABLE t (Id INT IDENTITY PRIMARY KEY)
Improved performance, concurrency etc. since you are not dependent on external tables to manage the id.
If you have existing data you can (re)set the start value using DBCC
DBCC CHECKIDENT ('t', RESEED, 100)
If you need to inject rows with a value preassigned, use:
SET IDENTITY_INSERT t ON
(and off again afterwards, resetting the seed as required).
[Consider whether you want this value to be the primary key, or simply unique.
In many cases where you need to reference a tables PK as a FK then you'll want it as PK for simplicity of join, but having a business readable value (eg, Accounting Code or OrderNo+OrderLine is completely valid) : that's just modelling]
Related
Is there any possibility to disable auto creating statistics on specific table in database, without disabling auto creating statistics for entire database?
I have a procedure wich written as follow
create proc
as
create table #someTempTable(many columns, more than 100)
inserting into #someTempTable **always one or two row**
exec proc1
exec proc2
etc.
proc1, proc2 .. coontains many selects and updates like this:
select ..
from #someTempTable t
join someOrdinaryTable t2 on ...
update #someTempTable set col1 = somevalue
Profiler shows that before each select server starts collecting stats in #someTempTable, and it takes more than quarter of entire execution of proc. Proc is using in OLPT processing and should works very fast. I want to change this temporary table to table variable(because for table variables server doesn't collect stats) but can't because it lead me to rewrite all this procedures to passing variables between them and all of this legacy code should be retests. I'm searching alternative way how to force server to behave temporary table like table variables in part of collecting stats.
P.S. I'm know that stats is useful thing but in this case it's useless because table alway contains small amount of records.
I assume you know what you are doing. Disabling a statistics is generally a bad idea. Anyhow:
EXEC sp_autostats 'table_name', 'OFF'
More documentation here: https://msdn.microsoft.com/en-us/library/ms188775.aspx.
Edit: OP clarified that he wants to disable statistics for a temp table. Try this:
CREATE TABLE #someTempTable
(
ID int PRIMARY KEY WITH (STATISTICS_NORECOMPUTE = ON),
...other columns...
)
If you don't have a primary key already, use an identity column for a PK.
Just a general question.
I have a table with IDENTITY PK which is not connected with any table through.
There is another and only FK in the table.
I run DELETE command on that table by some condition.
I can INSERT any new records into the table with auto-inserted next PK IDs.
BUT there is no re-using of ID numbers in PK.
If I run something like
DECLARE #max_PKid BIGINT;
SET #max_PKid = (SELECT ISNULL(MAX(PKid), 0) FROM Table WHERE FKid=#somevalue);
DBCC CHECKIDENT ('Table', reseed, #max_PKid)
right after DELETE, there will be access violation problems on next INSERT
Question 1: Is it good practice in general having intervals in unordered (say, unseeded) PKids in the table after doing DELETE/INSERT without using DBCC CHECKIDENT? Should I care on them?
Question 2: If not, what can I do about?
No you should not worry. There are also other circumstances in which you can get a 'hole' in an IDENTITY range. For example, if you start a transaction, insert 100,000 rows into a table, then rollback that transaction - those IDENTITY values are then gone. This is not something you should be concerned about.
I have various reasons for needing to implement, in addition to the identity column PK, a second, concurrency safe, auto-incrementing column in a SQL Server 2005 database. Being able to have more than one identity column would be ideal, but I'm looking at using a trigger to simulate this as close as possible to the metal.
I believe I have to use a serializable isolation level transaction in the trigger. Do I go about this like Ii would use such a transaction in a normal SQL query?
It is a non-negotiable requirement that the business meaning of the second incrementing column remain separated from the behind the scenes meaning of the first, PK, incrementing column.
To put things as simply as I can, if I create JobCards '0001', '0002', and '0003', then delete JobCards '0002' and '0003', the next Jobcard I create must have ID '0002', not '0004'.
Just an idea, if you have 2 "identity" columns, then surely they would be 'in sync' - if not exactly the same value, then would differ by a constant value. If so, then why not add the "second identity" column as a COMPUTED column, which offsets the primary identity? Or is my logic flawed here?
Edit : As per Martin's comment, note that your calc might need to be N * id + C, where N is the Increment and C the offset / delta - excuse my rusty maths.
For example:
ALTER TABLE MyTable ADD OtherIdentity AS Id * 2 + 1;
Edit
Note that for Sql 2012 and later, that you can now use an independent sequence to create two or more independently incrementing columns in the same table.
Note: OP has edited the original requirement to include reclaiming sequences (noting that identity columns in SQL do not reclaim used ID's once deleted).
I would disallow all the deletes from this table altogether. Instead of deleting, I would mark rows as available or inactive. Instead of inserting, I would first search if there are inactive rows, and reuse the one with the smallest ID if they exist. I would insert only if there are no available rows already in the table.
Of course, I would serialize all inserts and deletes with sp_getapplock.
You can use a trigger to disallow all deletes, it is simpler than filling gaps.
A solution to this issue from "Inside Microsoft SQL Server 2008: T-SQL Querying" is to create another table with a single row that holds the current max value.
CREATE TABLE dbo.Sequence(
val int
)
Then to allocate a range of sufficient size for your insert
CREATE PROC dbo.GetSequence
#val AS int OUTPUT,
#n as int =1
AS
UPDATE dbo.Sequence
SET #val = val = val + #n;
SET #val = #val - #n + 1;
This will block other concurrent attempts to increment the sequence until the first transaction commits.
For a non blocking solution that doesn't handle multi row inserts see my answer here.
This is probably a terrible idea, but it works in at least a limited use scenario
Just use a regular identity and reseed on deletes.
create table reseedtest (
a int identity(1,1) not null,
name varchar(100)
)
insert reseedtest values('erik'),('john'),('selina')
select * from reseedtest
go
CREATE TRIGGER TR_reseedtest_D ON reseedtest FOR DELETE
AS
BEGIN TRAN
DECLARE #a int
SET #a = (SELECT TOP 1 a FROM reseedtest WITH (TABLOCKX, HOLDLOCK))
--anyone know another way to lock a table besides doing something to it?
DBCC CHECKIDENT(reseedtest, reseed, 0)
DBCC CHECKIDENT(reseedtest, reseed)
COMMIT TRAN
GO
delete reseedtest where a >= 2
insert reseedtest values('katarina'),('david')
select * from reseedtest
drop table reseedtest
This won't work if you are deleting from the "middle of the stack" as it were, but it works fine for deletes from the incrementing end.
Reseeding once to 0 then again is just a trick to avoid having to calculate the correct reseed value.
if you never delete from the table, you could create a view with a materialized column that uses ROW_NUMBER().
ALSO, a SQL Server identity can get out of sync with a user generated one, depending on the use of rollback.
I have a question regarding locking in TSQL. Suppose I have a the following table:
A(int id, varchar name)
where id is the primary key, but is NOT an identity column.
I want to use the following pseudocode to insert a value into this table:
lock (A)
uniqueID = GenerateUniqueID()
insert into A values (uniqueID, somename)
unlock(A)
How can this be accomplished in terms of T-SQL? The computation of the next id should be done with the table A locked in order to avoid other sessions to do the same operation at the same time and get the same id.
If you have custom logic that you want to apply in generating the ids, wrap it up into a user defined function, and then use the user defined function as the default for the column. This should reduce concurrency issue similarly to the provided id generators by deferring the generation to the point of insert and piggy backing on the insert locking behavior.
create table ids (id int, somval varchar(20))
Go
Create function GenerateUniqueID()
returns int as
Begin
declare #ret int
select #ret = max(isnull(id,1)) * 2 from ids
if #ret is null set #ret = 2
return #ret
End
go
alter table ids add Constraint DF_IDS Default(dbo.GenerateUniqueID()) for Id
There are really only three ways to go about this.
Change the ID column to be an IDENTITY column where it auto increments by some value on each insert.
Change the ID column to be a GUID with a default constraint of NEWID() or NEWSEQUENTIALID(). Then you can insert your own value or let the table generate one for you on each insert.
On each insert, start a transaction. Then get the next available ID using something like select max(id)+1 . Do this in a single sql statement if possible in order to limit the possibility of a collision.
On the whole, most people prefer option 1. It's fast, easy to implement, and most people understand it.
I tend to go with option 2 with the apps I work on simply because we tend to scale out (and up) our databases. This means we routinely have apps with a multi-master situation. Be aware that using GUIDs as primary keys can mean your indexes are routinely trashed.
I'd stay away from option 3 unless you just don't have a choice. In which case I'd look at how the datamodel is structured anyway because there's bound to be something wrong.
You use the NEWID() function and you do not need any locking mechanism
You tell a column to be IDENTITY and you do not need any locking mechanism
If you generate these IDs manually and there is a chance parallel calls could generate the same IDs then something like this:
SET TRANSACTION ISOLATION LEVEL SERIALIZABLE
#NextID = GenerateUniqueID()
WHILE EXISTS (SELECT ID FROM A WHERE ID = #NextID)
BEGIN
#NextID = GenerateUniqueID()
END
INSERT INTO A (ID, Text) VALUES (#NextID , 'content')
COMMIT TRANSACTION
#Markus, you should look at using either IDENTITY or NEWID() as noted in the other answers. if you absolutely can't, here's an option for you...
DECLARE #NewID INT
BEGIN TRAN
SELECT #NewID = MAX(ID) + 1
FROM TableA (tablockx)
INSERT TableA
(ID, OtherFields)
VALUES (#NewID, OtherFields)
COMMIT TRAN
If you're using SQL2005+, you can use the OUTPUT clause to do what you're asking, without any kind of lock (The table Test1 simulates the table you're inserted into, and since OUTPUT requires a temp table and not a variable to hold the results, #Result will do that):
create table test1( test INT)
create table #result (LastValue INT)
insert into test1
output INSERTED.test into #result(test)
select GenerateUniqueID()
select LastValue from #result
Just to update an old post. It is now possible with SQL Server 2012 to use a feature called Sequence. Sequences are created in much the same way a function and it is possible to specify the range, direction(asc, desc) and rollover point. After which it's possible to invoke the NEXT VALUE FOR method to generate the next value in the range.
See the following documentation from Microsoft.
http://technet.microsoft.com/en-us/library/ff878091.aspx
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...