That's against 10k records in said table.

I'll see about constructing a minimal test case. But sadly now, as I've 
"insert into ... direct ... select * from ...; " then I have to press on 
with my day job.

Do let me know if you have any ideas.

Rich

On Monday, 25 February 2019 15:36:15 UTC, Rich B wrote:
>
> Hi Noel
>
> I used the trace.db output facility and got this:
>
> alter table receipt drop primary key;
>> alter table receipt alter column id identity not null;
>> COMMIT;
>> -----------------------------------------
>> -- SQL Statement Statistics
>> -- time: total time in milliseconds (accumulated)
>> -- count: how many times the statement ran
>> -- result: total update count or row count
>> -----------------------------------------
>> -- self accu    time   count  result sql
>> -- 100% 100%   47505       1       0 alter table receipt alter column id 
>> identity not null;
>> --   0% 100%       0       1       0 COMMIT;
>> --   0% 100%       0       1       0 alter table receipt drop primary key;
>>
>>
> There's no triggers, custom table enginers, views etc. It's a really 
> simply setup.
>
> Cheers
> Rich
>
>
>
> On Monday, 25 February 2019 14:43:48 UTC, Noel Grandin wrote:
>>
>> That doesn't make any sense. I do similar transformations all the time, 
>> and their running time is always roughly O(n). 
>>
>> H2 basically builds a new table with new data, and then drops the old 
>> table and replaces it with the new. 
>>
>> I suspect you have some other code getting in the way somehow (e.g. 
>> triggers, custom table engines, views, etc) 
>>
>> Try using some performance profiler to see where the time is going (e.g. 
>> the very basic one built into H2 should be fine 
>> for this job). 
>>
>> If that doesn't point you in the right direction, please construct a 
>> minimal test case, and log a bug. 
>>
>>

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