or 1 thread...or 6000 threads...makes no difference whatever. Unless you
changed the default from SERIALIZED to something that does not apply.
---
The fact that there's a Highway to Hell but only a Stairway to Heaven says a
lot about anticipated traffic volume.
>-Original
BTW why not to update all rows by single update query?
2018-05-27 20:30 GMT+02:00, Torsten Curdt :
> I am doing a select, then iterate through the resultset and on each row
> call update on that row.
> I am using the golang driver and ran into the issue that on the update the
>
Alternatively you can alloc physical memory using AWE mechanism.
AWE requires SeLockMemoryPrivilege, so you may have to run the
application on an administator account (or other account with
sufficient rigths).
When using AWE there is no need to increase working set size because
AWE pages are not
There is no multi threading. Just a single thread and only one
connection/handle.
While iterating through the resultset I am also trying to execute an update
for every row. Along the lines of:
resultset = db.exec(`select`)
foreach row in resultset {
db.exec(`update`)
}
I don't want to
On 27 May 2018, at 11:49pm, Deon Brewis wrote:
> By one connection doing SELECT and UPDATE, do you mean multi-threaded mode
> and using the connection from 2 threads?
A connection cannot lock the database against itself. If you are doing two
operations with one connection,
By one connection doing SELECT and UPDATE, do you mean multi-threaded mode and
using the connection from 2 threads?
- Deon
-Original Message-
From: sqlite-users On Behalf Of
Simon Slavin
Sent: Sunday, May 27, 2018 3:39 PM
To: SQLite
On 27 May 2018, at 7:30pm, Torsten Curdt wrote:
> I am doing a select, then iterate through the resultset and on each row
> call update on that row.
> I am using the golang driver and ran into the issue that on the update the
> database is still locked from the select.
Are you
Firstly you have to enable SeIncreaseWorkingSetPrivilege - to do this
you may use the function enableIncreaseWorkingSetPrivilege listed
below, it should return 0 on success - then you can use
SetProcessWorkingSetSize(GetCurrentProcess(), *NewMinSize*, *NewMaxSize*);
Working set sizes must be
I am doing a select, then iterate through the resultset and on each row
call update on that row.
I am using the golang driver and ran into the issue that on the update the
database is still locked from the select.
https://github.com/mattn/go-sqlite3/issues/569
I have read
I tried to create a shareable in-memory database as per the documentation
provided on SQLite Site. But I end up finding the solution to the problem.
*Here is my code in C#*:
var connectionString = "Data Source=sharedmemdb;Mode=Memory;Cache=Shared";
using (var connection1 = new
Starting to mess about with windows handles and pages I’ve never heard of is
beyond my pain threshold Abrozy. Thanks anyway.
From: sqlite-users on behalf of
Abroży Nieprzełoży
I think you can experiment with changing the the working set size
limits and see what the effect will be.
https://msdn.microsoft.com/en-us/library/cc441804
2018-05-27 17:09 GMT+02:00, curmudgeon :
> It seems the array was being optimised away. I had to initialise every
It seems the array was being optimised away. I had to initialise every value
to get the OS to claim the RAM. Once I did that the timings for the array
were on a par with the vector with the second pass being slower than the
first.
While that clears up that part of the mystery I'm no closer to a
Strange. I repeated the test with v an int64 array (see below) however the
FreeMB() doesn’t change. Both Memi’s return pretty much the value of Mem
???
for (int i=0; i<2; i++)
{
v=new int64_t[Size[i]];
int64_t Memi=FreeMBs();
I’ve changed the app to populate v with the query result and noted the free ram
before and after each resize. I’m hoping that addresses some of the concerns re
compiler optimisations even if it doesn’t supply any real answers? Results were
similar to before.
#include
#include
#pragma hdrstop
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