Copy one column to another for over a billion rows in SQL Server database - sql

Question

Database : SQL Server 2005
Problem : Copy values from one column to another column in the same table with a billion+
rows.
test_table (int id, bigint bigid)
Things tried 1: update query
update test_table set bigid = id
fills up the transaction log and rolls back due to lack of transaction log space.
Tried 2 - a procedure on following lines
set nocount on
set rowcount = 500000
while #rowcount > 0
begin
update test_table set bigid = id where bigid is null
set #rowcount = ##rowcount
set #rowupdated = #rowsupdated + #rowcount
end
print #rowsupdated
The above procedure starts slowing down as it proceeds.
Tried 3 - Creating a cursor for update.
generally discouraged in SQL Server documentation and this approach updates one row at a time which is too time consuming.
Is there an approach that can speed up the copying of values from one column to another. Basically I am looking for some 'magic' keyword or logic that will allow the update query to rip through the billion rows half a million at a time sequentially.
Any hints, pointers will be much appreciated.

Answer 1

I'm going to guess that you are closing in on the 2.1billion limit of an INT datatype on an artificial key for a column. Yes, that's a pain. Much easier to fix before the fact than after you've actually hit that limit and production is shut down while you are trying to fix it :)
Anyway, several of the ideas here will work. Let's talk about speed, efficiency, indexes, and log size, though.
Log Growth
The log blew up originally because it was trying to commit all 2b rows at once. The suggestions in other posts for "chunking it up" will work, but that may not totally resolve the log issue.
If the database is in SIMPLE mode, you'll be fine (the log will re-use itself after each batch). If the database is in FULL or BULK_LOGGED recovery mode, you'll have to run log backups frequently during the running of your operation so that SQL can re-use the log space. This might mean increasing the frequency of the backups during this time, or just monitoring the log usage while running.
Indexes and Speed
ALL of the where bigid is null answers will slow down as the table is populated, because there is (presumably) no index on the new BIGID field. You could, (of course) just add an index on BIGID, but I'm not convinced that is the right answer.
The key (pun intended) is my assumption that the original ID field is probably the primary key, or the clustered index, or both. In that case, lets take advantage of that fact, and do a variation of Jess' idea:
set #counter = 1
while #counter < 2000000000 --or whatever
begin
update test_table set bigid = id
where id between #counter and (#counter + 499999) --BETWEEN is inclusive
set #counter = #counter + 500000
end
This should be extremely fast, because of the existing indexes on ID.
The ISNULL check really wasn't necessary anyway, neither is my (-1) on the interval. If we duplicate some rows between calls, that's not a big deal.

Answer 2

Use TOP in the UPDATE statement:
UPDATE TOP (#row_limit) dbo.test_table
SET bigid = id
WHERE bigid IS NULL

Answer 3

You could try to use something like SET ROWCOUNT and do batch updates:
SET ROWCOUNT 5000;
UPDATE dbo.test_table
SET bigid = id
WHERE bigid IS NULL
GO
and then repeat this as many times as you need to.
This way, you're avoiding the RBAR (row-by-agonizing-row) symptoms of cursors and while loops, and yet, you don't unnecessarily fill up your transaction log.
Of course, in between runs, you'd have to do backups (especially of your log) to keep its size within reasonable limits.

Answer 4

Is this a one time thing? If so, just do it by ranges:
set counter = 500000
while #counter < 2000000000 --or whatever your max id
begin
update test_table set bigid = id where id between (#counter - 500000) and #counter and bigid is null
set counter = #counter + 500000
end

Answer 5

I didn't run this to try it, but if you can get it to update 500k at a time I think you're moving in the right direction.
set rowcount 500000
update test_table tt1
set bigid = (SELECT tt2.id FROM test_table tt2 WHERE tt1.id = tt2.id)
where bigid IS NULL
You can also try changing the recover model so you don't log the transactions
ALTER DATABASE db1
SET RECOVERY SIMPLE
GO
update test_table
set bigid = id
GO
ALTER DATABASE db1
SET RECOVERY FULL
GO

Answer 6

First step, if there are any, would be to drop indexes before the operation. This is probably what is causing the speed degrade with time.
The other option, a little outside the box thinking...can you express the update in such a way that you could materialize the column values in a select? If you can do this then you could create what amounts to a NEW table using SELECT INTO which is a minimally logged operation (assuming in 2005 that you are set to a recovery model of SIMPLE or BULK LOGGED). This would be pretty fast and then you can drop the old table, rename this table to to old table name and recreate any indexes.
select id, CAST(id as bigint) bigid into test_table_temp from test_table
drop table test_table
exec sp_rename 'test_table_temp', 'test_table'

Answer 7

I second the
UPDATE TOP(X) statement
Also to suggest, if you're in a loop, add in some WAITFOR delay or COMMIT between, to allow other processes some time to use the table if needed vs. blocking forever until all the updates are completed