Hern��n,
> On 26 Jan 2015, at 08:00, Hern��n Morales Durand <hernan.morales@gmail.com> wrote:
>
> It is possible :)
> I work with DNA sequences, there could be millions of common SNPs in a genome.
Still weird for CSV. How many record are there then ?
I assume they all have the same number of fields ?
Anyway, could you point me to the specification of the format you want to read ?
And to the older the that you used to use ?
Thx,
Sven
> Cheers,
>
> Hern��n
>
>
> 2015-01-26 3:33 GMT-03:00 Sven Van Caekenberghe <sven@stfx.eu>:
>
> > On 26 Jan 2015, at 06:32, Hern��n Morales Durand <hernan.morales@gmail.com> wrote:
> >
> >
> >
> > 2015-01-23 18:00 GMT-03:00 Sven Van Caekenberghe <sven@stfx.eu>:
> >
> > > On 23 Jan 2015, at 20:53, Hern��n Morales Durand <hernan.morales@gmail.com> wrote:
> > >
> > > Hi Sven,
> > >
> > > 2015-01-23 16:06 GMT-03:00 Sven Van Caekenberghe <sven@stfx.eu>:
> > > Hi Hern��n,
> > >
> > > > On 23 Jan 2015, at 19:50, Hern��n Morales Durand <hernan.morales@gmail.com> wrote:
> > > >
> > > > I used to use a CSV parser from Squeak where I could attach conditional iterations:
> > > >
> > > > csvParser rowsSkipFirst: 2 do: [: row | " some action ignoring first 2 fields on each row " ].
> > > > csvParser rowsSkipLast: 2 do: [: row | " some action ignoring last 2 fields on each row " ].
> > >
> > > With NeoCSVParser you can describe how each field is read and converted, using the same mechanism you can ignore fields. Have a look at the senders of #addIgnoredField from the unit tests.
> > >
> > >
> > > I am trying to understand the implementation, I see you included #addIgnoredFields: for consecutive fields in Neo-CSV-Core-SvenVanCaekenberghe.21
> > > A question about usage then, adding ignored field(s) requires adding field types on all other remaining fields?
> >
> > Yes, like this:
> >
> > testReadWithIgnoredField
> >�� �� �� �� ��| input |
> >�� �� �� �� ��input := (String crlf join: #( '1,2,a,3' '1,2,b,3' '1,2,c,3' '')).
> >�� �� �� �� ��self
> >�� �� �� �� �� �� �� �� ��assert: ((NeoCSVReader on: input readStream)
> >�� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� ��addIntegerField;
> >�� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� ��addIntegerField;
> >�� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� ��addIgnoredField;
> >�� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� ��addIntegerField;
> >�� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� �� ��upToEnd)
> >�� �� �� �� �� �� �� �� ��equals: {
> >�� �� �� �� �� �� �� �� �� �� �� �� ��#(1 2 3).
> >�� �� �� �� �� �� �� �� �� �� �� �� ��#(1 2 3).
> >�� �� �� �� �� �� �� �� �� �� �� �� ��#(1 2 3).}
> >
> >
> >
> > May be you like to know if you make a pass to NeoCSV, for some data sets I have 1 million of columns, it would be nice an addFieldsInterval: or such.
>
> 1 million columns ? How is that possible, useful ?
>
> The reader is like a builder. You could try to do this yourself by writing a little loop or two.
>
> But still, 1 million ?
>
> > Thank you.
> >
> > Hern��n
> >
>
>
>