Am 27.10.2017 um 21:59 schrieb David Raymond:
Also getting 31ms for both...
Thanks for testing that guys...
I was able to get similar timings (about 30msec), when the
(quite large) resultset-output was delegated into a file...
To avoid doing expensive File-IO in that test, I'd recommend
to
sqlite 3.21.0, built from source on Scientific Linux 6
(which is derived from Red Hat Enterprise Linux 6).
configure options were:
--enable-threadsafe --enable-threads-override-locks --enable-load-extension
CFLAGS="-DSQLITE_ENABLE_COLUMN_METADATA=1 -DSQLITE_DISABLE_DIRSYNC=1
Also getting 31ms for both. Though looking at the explain output it looks like
for the view/subroutine/subquery version it's spending extra machine steps
copying every result row from one set of registers to another.
Below this point only gratuitous stats and query plans
From the View
Thanks for the report.
Do you have any other interesting, complex, or slow queries using your
database that you can send me for testing purposes?
On 10/27/17, Olaf Schmidt wrote:
> The new CoRoutine-approach seems to slow down certain
> ViewDefinitions (in comparison to
I don't see any difference in the runtimes, at least not with the current head
of trunk ...
sqlite> .once x
sqlite> select * from invoices;
Run Time: real 0.032 user 0.031250 sys 0.00
sqlite> .once y
sqlite> SELECT ShipName, ShipAddress, ShipCity, ShipRegion, ShipPostalCode,
ShipCountry,
The new CoRoutine-approach seems to slow down certain
ViewDefinitions (in comparison to running a Query directly).
FWIW, here's a download-link to an NorthWind-SQLite-DB, which
already contains certain view-definitions:
http://vbRichClient.com/Downloads/NWind.zip
(an "Analyze"-command was
Thanks. The README has now been converted into a README.md and has
been updated with the latest project status and the typo has been
fixed.
On 10/27/17, Mark Summerfield wrote:
> On this page:
>
> https://sqlite.org/src4/tree?ci=trunk
>
> It says:
>
> The developers do not
On this page:
https://sqlite.org/src4/tree?ci=trunk
It says:
The developers do not use teh configure script.
Which has a typo; should be:
The developers do not use the configure script.
Also, this page mentions linux and windows binaries, but provides no
link to them. Nor can I find
Correction:
On 2017/10/27 12:57 PM, R Smith wrote:
[1]: PHP doesn't understand BedrockDB yet, but it understands SQLite /
MySQL and Bedrock uses SQLite and has a MySQL connector.
I stand corrected, Bedrock does provide a PHP binding. From the website:
Bedrock also provides a PHP binding
On Oct 26, 2017, at 12:15 AM, David Barrett wrote:
>
> I'm glad you liked it! I'd be happy to answer any questions you have about
> http://BedrockDB.com, our use of sqlite, or anything else. Thanks for
> listening!
Before I get to the questions, I haven’t listened to
Thanks Ryan - a handy summary. Food for thought.
Thanks,
Chris
On Fri, Oct 27, 2017 at 11:57 AM, R Smith wrote:
>
> On 2017/10/27 11:52 AM, Bart Smissaert wrote:
>
>> Is this BedrockDB something that could be used to connect to a server and
>> run SQL and avoid the
On 2017/10/27 11:52 AM, Bart Smissaert wrote:
Is this BedrockDB something that could be used to connect to a server and
run SQL and avoid the problems (mainly slowness) that SQLite would
have in this situation?
and
Chris Locke wrote:
My work environment is mainly Windows servers/users.
My work environment is mainly Windows servers/users. SQLite 'works' but is
obviously unsupported (file locking, etc).
Could BedrockDb help in this area? Sounds like it works 'locally' but
'networkably' (is that a word?!) Couldn't find any Windows-friendly builds
or guides.
Even assuming it
Is this BedrockDB something that could be used to connect to a server and
run SQL and avoid the problems (mainly slowness) that SQLite would
have in this situation?
RBS
On Fri, Oct 27, 2017 at 10:40 AM, R Smith wrote:
>
> On 2017/10/27 7:19 AM, Wout Mertens wrote:
>
>>
On 2017/10/27 7:19 AM, Wout Mertens wrote:
Interesting that you emulate mysql, given that sqlite tries to be
postgresql compatible…
It doesn't emulate MySQL, it has a MySQL connector so that you can
connect it and do queries via your already-MySQL-using app. This is an
add-on option, not
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