On 2024-01-27 00:20, David G. Johnston wrote:
Thanks for your comments!
> On Fri, Jan 26, 2024 at 2:49 AM torikoshia
> <torikoshia@oss.nttdata.com> wrote:
>
>> Hi,
>>
>> 9e2d870 enabled the COPY command to skip soft error, and I think we
>> can
>> add another option which specifies the maximum tolerable number of
>> soft
>> errors.
>>
>> I remember this was discussed in [1], and feel it would be useful
>> when
>> loading 'dirty' data but there is a limit to how dirty it can be.
>>
>> Attached a patch for this.
>>
>> What do you think?
>
> I'm opposed to adding this particular feature.
>
> When implementing this kind of business rule I'd need the option to
> specify a percentage, not just an absolute value.
Yeah, it seems useful for some cases.
Actually, Greenplum enables to specify not only the max number of bad
rows but also its percentage[1].
I may be wrong, but considering some dataloaders support something like
reject_limit(Redshift supports MAXERROR[2], pg_bulkload supports
PARSE_ERRORS[3]), specifying the "number" of the bad row might also be
useful.
I think we can implement reject_limit specified by percentage simply
calculating the ratio of skipped and processed at the end of CopyFrom()
like this:
if (cstate->opts.reject_limit > 0 && (double) skipped / (processed +
skipped) > cstate->opts.reject_limit_percent)
ereport(ERROR,
(errcode(ERRCODE_BAD_COPY_FILE_FORMAT),
errmsg("exceeded the ratio specified
by ..
> I would focus on trying to put the data required to make this kind of
> determination into a place where applications implementing such
> business rules and monitoring can readily get at it. The "ERRORS TO"
> and maybe a corresponding "STATS TO" option where a table can be
> specified for the system to place the problematic data and stats about
> the copy itself.
It'd be nice to have such informative tables, but I believe the benefit
of reject_limit is it fails the entire loading when the threshold is
exceeded.
I imagine when we just have error and stats information tables for COPY,
users have to delete the rows when they confirmed too many errors in
these tables.
[1]https://docs.vmware.com/en/VMware-Greenplum/7/greenplum-database/admin_guide-load-topics-g-handling-load-errors.html
[2]https://docs.aws.amazon.com/redshift/latest/dg/copy-parameters-data-load.html
[3]https://ossc-db.github.io/pg_bulkload/pg_bulkload.html
--
Regards,
--
Atsushi Torikoshi
NTT DATA Group Corporation
