Re: Import large data set into a table and resolve duplicates?

On Sun, Feb 15, 2015 at 01:06:02PM +0100, Francisco Olarte wrote:
> You state below 200k rows, 50k lines per path. That is not huge unless
> "series" really big, is it?

series data is in between of 100-4096 chars

> 1.- Get the patches into a ( temp ) table, using something like \copy, call
> this patches_in.
> 2.- create (temp) table existing_out as select series, id from dictionary
> join patches_in on (series);
> 3.- delete from patches_in where series in (select series from
> existing_out);
> 4.- create (temp) table new_out as insert into dictionary (series) select
> patches_in.series from patches_in returning series, id
> 5.- Copy existing out and patches out.
> 6.- Cleanup temps.

That sounds cool, but I'm a bit worried about the performance of a lookup over
the series column and the time to create index for the "temp" table on
"series" column. But perhaps it's better to try this and if a performance will
go really bad - then do some optimizations, like partitioning etc.

Thank you!

--
Eugene Dzhurinsky