Thank you so *much* for the quick and detailed reply Michael, worked like a
charm!
Haha, yes, I'm not really using Numpy (just a standard import, hehe).
On a sidenote, SQLAlchemy is one of the most complex and impressive
libraries I've ever seen, and the documentation is beyond words - so than
On 7/27/15 12:19 PM, D.S. Ljungmark wrote:
Thanks!
Going through this of how to go backwards from a query to SQLAlchemy
is the part that I was missing. I'm personally not wedded to the
Postgres method, actually the opposite. But it's also been the one
call that didn't stall massively on larger
Thanks!
Going through this of how to go backwards from a query to SQLAlchemy
is the part that I was missing. I'm personally not wedded to the
Postgres method, actually the opposite. But it's also been the one
call that didn't stall massively on larger datasets.
The performance characteristics are
On 7/27/15 10:56 AM, Victor Tingström wrote:
Hey guys! First off, thank you for the library. Now to the problem,
I'm currently trying to implement a simple timeseries database using
`SQLAlchemy`. And so far I've seen the need for the following classes;
First off is the `Platform` class (which
On 7/27/15 9:08 AM, c.bu...@posteo.jp wrote:
I have (sqlite3) database with a `Numeric(10, 2)` field. I want to
query for that and work with it as a standard python datatype (for me
this is ``). In the code below I want a list of floats -
nothing more. How can I do this without manual convertin
On 7/27/15 3:47 AM, D.S. Ljungmark wrote:
But we're not looking for one row in the Certificate table, what it
does is, for _every_ CSR, take the Certificate metadata that matches
the _oldest_ certificate.
whoops, right I looked at it for too long and didn't see us selecting
all of csr.
T
Hey guys! First off, thank you for the library. Now to the problem, I'm
currently trying to implement a simple timeseries database using
`SQLAlchemy`. And so far I've seen the need for the following classes;
First off is the `Platform` class (which is the highest in the hierarchy)
import nu
I have (sqlite3) database with a `Numeric(10, 2)` field. I want to
query for that and work with it as a standard python datatype (for me
this is ``). In the code below I want a list of floats -
nothing more. How can I do this without manual converting the list?
# Python3 pseudocode
class M
But we're not looking for one row in the Certificate table, what it
does is, for _every_ CSR, take the Certificate metadata that matches
the _oldest_ certificate.
The equivalent using a Join would be the following (the below is the
generated code):
SELECT certificate.csr_id AS certificate_csr_id,