You can use the sysindexes table, which keeps track of how much an index has changed. Because this is done in an atomic update, it won't have a chance to recalc statistics, so rowmodctr
will keep growing. This is sometimes not noticeable in small tables, but for millions, it will show.
-- create a test table
create table testtbl (id bigint identity primary key clustered, nv nvarchar(max))
-- fill it up with dummy data. 1/3 will have a trailing ':'
insert testtbl
select
convert(nvarchar(max), right(a.number*b.number+c.number,30)) +
case when a.number %3=1 then ':' else '' end
from master..spt_values a
inner join master..spt_values b on b.type='P'
inner join master..spt_values c on c.type='P'
where a.type='P' and a.number between 1 and 5
-- (20971520 row(s) affected)
update testtbl
set nv = left(nv, len(nv)-1)
where nv like '%:'
Now in another query window, run the below continuously and watch the rowmodctr going up and up. rowmodctr
vs rows
gives you an idea where you are up to, if you know where rowmodctr
needs to end up being. In our case, it is 67% of just over 2 million.
select rows, rowmodctr
from sysindexes with (nolock)
where id = object_id('testtbl')
Please don't run (nolock) counting queries on the table itself
while it is being updated.