toy

"therapist" <[email protected]> Fri, 16 Mar 2007 14:35:57 -0800
Newsgroups	gmane.comp.video.info-performer.cvs,gmane.spam.detected
Message-ID	<002201c7681c$229d0fc0$51b1e168@jifyx>
------=_NextPart_000_001E_01C767D9.14731900
Content-Type: multipart/alternative;
	boundary="----=_NextPart_001_001F_01C767D9.1474C6B0"

------=_NextPart_001_001F_01C767D9.1474C6B0
Content-Type: text/plain;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable


See More NewslettersGet your daily dose of About.
Now I am just wondering, how could those DBAs find their jobs in the =
very first place?
By doing things in single sql statements as much as possible.
In fact, I have a master batch procedure that can run sub jobs from a =
table list and this also allows me restart flexibility. The datapump =
idea is interesting, and would achieve my objective in many situations, =
but is not really applicable for me right now. This article describes =
how to implement the line-based interface. The 2 methods I described are =
showing multiple entries for each object so the result would be a =
longer-than-needed build process. Why would you not sit down with your =
manager and say "this is what I would like to do with my career - I =
really like it here, what can we do to help me evolve and grow over =
time?
Funny I can already see it. Is that something you would find useful?
This is done primarily to manage power consumption and heat dissipation. =
So it adds value in that way. And even if there are - you'll have =
invalidated the sql cache regardless of approach - so you'll be parsing =
anyway. - plus you can sample food, see unique performances and listen =
to music.
If it is not, could you please give an example of "version column =
approach"? Am I right in saying that?
Else - if not - set up a test case to demonstrate with. task 6: no, that =
is not the job of a DBA at all - they manage the database, not the OS.
plist, and have all resources within the bundle. Annotations over XML =
for configuration. If you are the system administrator, please click =
here. I do handle some of that stuff but I am more focused on working =
with the developers. It is a query construct like inline views, having =
clauses, intersect and the like. The application you want to implement =
optimistic concurrency control would need only to save the value of this =
additional column, not all of the before images of the other columns. =
The odds of two people reading and modifying the same row in the same =
fraction of a second are very small indeed.
this does not sound like "so many archives", pretty small in comparison =
to many systems - it is in direct proportion to the work performed. Or =
Email me directly. So 45nm may mean some increase in clock speeds for =
future processors, but its primary use will be enablement of a higher =
number of cores. The reason, we were told by our experts, is shared pool =
memory fragmentaion due to the usage of 'WITH CLAUSE'. and most of these =
are batch jobs.
------=_NextPart_001_001F_01C767D9.1474C6B0
Content-Type: text/html;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD>
<META http-equiv=3DContent-Type content=3D"text/html; =
charset=3Diso-8859-1">
<META content=3D"MSHTML 6.00.2800.1106" name=3DGENERATOR>
<STYLE></STYLE>
</HEAD>
<BODY bgColor=3D#ffffff>
<DIV><FONT face=3DArial size=3D2><IMG alt=3D"marathon" hspace=3D0=20
src=3D"cid:001d01c7681c$2294ab50$51b1e168@jifyx" align=3Dbaseline=20
border=3D0></FONT></DIV>
<DIV><FONT face=3DArial size=3D2>See More NewslettersGet your daily dose =
of=20
About.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>Now I am just wondering, how could =
those DBAs find=20
their jobs in the very first place?</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>By doing things in single sql =
statements as much as=20
possible.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>In fact, I have a master batch =
procedure that can=20
run sub jobs from a table list and this also allows me restart =
flexibility. The=20
datapump idea is interesting, and would achieve my objective in many =
situations, but=20
is not really applicable for me right now. This article describes how to =
implement=20
the line-based interface. The 2 methods I described are showing multiple =
entries for=20
each object so the result would be a longer-than-needed build process. =
Why would you=20
not sit down with your manager and say "this is what I would like to do =
with my=20
career - I really like it here, what can we do to help me evolve and =
grow over=20
time?</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>Funny I can already see it. Is that =
something you=20
would find useful?</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>This is done primarily to manage power =
consumption=20
and heat dissipation. So it adds value in that way. And even if there =
are - you'll=20
have invalidated the sql cache regardless of approach - so you'll be =
parsing anyway.=20
- plus you can sample food, see unique performances and listen to=20
music.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>If it is not, could you please give an =
example of=20
"version column approach"? Am I right in saying that?</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>Else - if not - set up a test case to =
demonstrate=20
with. task 6: no, that is not the job of a DBA at all - they manage the =
database,=20
not the OS.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>plist, and have all resources within =
the bundle.=20
Annotations over XML for configuration. If you are the system =
administrator, please=20
click here. I do handle some of that stuff but I am more focused on =
working with the=20
developers. It is a query construct like inline views, having clauses, =
intersect and=20
the like. The application you want to implement optimistic concurrency =
control would=20
need only to save the value of this additional column, not all of the =
before images=20
of the other columns. The odds of two people reading and modifying the =
same row in=20
the same fraction of a second are very small indeed.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>this does not sound like "so many =
archives", pretty=20
small in comparison to many systems - it is in direct proportion to the =
work=20
performed. Or Email me directly. So 45nm may mean some increase in clock =
speeds for=20
future processors, but its primary use will be enablement of a higher =
number of=20
cores. The reason, we were told by our experts, is shared pool memory =
fragmentaion=20
due to the usage of 'WITH CLAUSE'. and most of these are batch=20
jobs.</FONT></DIV></BODY></HTML>

------=_NextPart_001_001F_01C767D9.1474C6B0--

------=_NextPart_000_001E_01C767D9.14731900
Content-Type: image/gif;
	name="disrepute.gif"
Content-Transfer-Encoding: base64
Content-ID: <001d01c7681c$2294ab50$51b1e168@jifyx>
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------=_NextPart_000_001E_01C767D9.14731900--