On Fri, Oct 26, 2012 at 8:54 PM, Vladislav Bolkhovitin wrote:
>
> Theodore Ts'o, on 10/25/2012 01:14 AM wrote:
>
>> On Tue, Oct 23, 2012 at 03:53:11PM -0400, Vladislav Bolkhovitin wrote:
>>
>>> Yes, SCSI has full support for ordered/simple commands designed
>>> exactly for that
On Saturday, 10 November, 2012 13:09 Igor Tandetnik wrote:
> > However with SQLite there are queries which yield incoherent results:
> Define "incoherent". As far as I can tell, you use this term to mean "results
> you personally dislike". The results SQLite produces are in agreement - in
>
On 10 Nov 2012, at 7:21pm, stahl...@dbs.uni-hannover.de wrote:
> Consider these two tables:
>
> CREATE TABLE tab1 (x INTEGER PRIMARY KEY);
> CREATE TABLE tab2 (x PRIMARY KEY REFERENCES tab1);
>
> Assuming they contain the same rows, I expect any query against 'tab1' to
> return the
stahl...@dbs.uni-hannover.de wrote:
> Consider these two tables:
>
> CREATE TABLE tab1 (x INTEGER PRIMARY KEY);
> CREATE TABLE tab2 (x PRIMARY KEY REFERENCES tab1);
>
> Assuming they contain the same rows, I expect any query against 'tab1' to
> return the same rows as against 'tab2'.
Quoting gwenn :
If you want, you can verify automatically that all the FK columns have a
type matching the referenced columns by using (and tweaking) an old tool
whose name is 'genfkey' (see http://www.sqlite.org/faq.html#q22 but the
'readme' link is broken).
Thanks for
Quoting Simon Slavin :
On 8 Nov 2012, at 5:27pm, stahl...@dbs.uni-hannover.de wrote:
But inferring the FK's type from the referenced PK would cause applications
which rely on the FK's type affinity being 'none' to be broken, no?
At this sort of level of
I know this question is not a SQLite question, but I am hoping that someone
here has had a similar experience and/or can point me to the right place to ask
this question.
After years or using Code::Blocks and Dev-Cpp, I have recently installed Visual
Studio 10 Express; it is the first time I
Hello,
We've been using SQLite 3.15-with-union-all-optimizations that you
linked to previously, to run some of the workflows that we have here
without problems.
The workflows use madIS, and they involve around 30 OLAP queries using
row/aggregate/virtual table functions on ~5 GB of data.
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