Hi Anthony,
Thanks for the response.But I have some difficulty in throwing everything
to a single table and require your help for the same.
Please consider the following :
The table is in the following structure.
1) adSuggester table:
trId long
click int
queryId long
2)query table
Hello Sree,
Sorry for the slow response.
On Thu, Mar 15, 2012 at 10:56 PM, sreeaurovindh viswanathan <
sreeaurovi...@gmail.com> wrote:
> Hi,
>
> I have created five tables in a Hdf5 file.I have created index during the
> creation of the file.I have about 140 million records in my postgresql
> da
Thank you for these e-mails with so many useful tips! This is
definitely a start. I will report what I find!
Cheers,
-รก.
On Fri, Mar 16, 2012 at 15:00, Francesc Alted wrote:
> On Mar 16, 2012, at 1:55 AM, Alvaro Tejero Cantero wrote:
>
>> Thanks Francesc, we're getting there :).
>>
>> Some mo
Hi Alvaro,
I just want to second what Francesc is saying. You do have to get
used to the fact that you can't do *everything* that numpy can do
inside of PyTables. However, you can do the important stuff which
lets you pull out only the data that you are interested in. In fact,
PyTables
lets you
On Mar 16, 2012, at 1:55 AM, Alvaro Tejero Cantero wrote:
> Thanks Francesc, we're getting there :).
>
> Some more precise questions below.
>
>> Here it is how you can do that in PyTables:
>>
>> my_condition = '(col1>0.5) && (col2<24) && (col3 == "novel")'
>> mycol4_values = [ r['col4'] for r i
