I think filter which supports simple selects is the best you've got with a
dataset.

-----Original Message-----
From: Unmoderated discussion of advanced .NET topics.
[mailto:[EMAIL PROTECTED] On Behalf Of Pardee, Roy
Sent: Wednesday, July 06, 2005 9:31 AM
To: [email protected]
Subject: Re: [ADVANCED-DOTNET] ADO.Net

There is no client-side SQL engine in ado.net.  I think the thing that
comes closest is the jet engine (the thing that gets exercised when you
move data in & out of an .mdb file).  Jet has a pretty nice
implementation of SQL, tho there are some annoying limitations
(subqueries come to mind).

I'd advise stashing your offline data in an .mdb and just swapping out
DataAdapters as users connect & disconnect, except that I think that
would mess up ado.net's updating logic--you'll have to manage RowStates
your own self when time comes to push offline changes back to the db.  I
don't know if that's more trouble than its worth.

And since your disconnected users will only ever be able to get a subset
of the data they got from their last connected query, do you really want
to encourage the impression that they can run queries when offline?
That sounds like an invitation to confusion to me...

HTH,

-Roy

-----Original Message-----
From: Unmoderated discussion of advanced .NET topics.
[mailto:[EMAIL PROTECTED] On Behalf Of Jon Rothlander
Sent: Wednesday, July 06, 2005 8:52 AM
To: [email protected]
Subject: [ADVANCED-DOTNET] ADO.Net


I've doing what I would think would be a very common use of ADO.Net, but
I cannot find much info on this in any of my book or online.  What I'm
doing seems pretty simple.

I have an app that can run in both a disconnted and connected state.
When it is disconnected, it is disconnected from the SQL DB.  My client
machine does not have access to a local database, so I am using XML on
the client. I am loading the XML into datasets to be processed.

The problem I'm running into is that I cannot easily perform the same
SELECT statements against the datasets that I can perform against SQL
Server.  For example, lets say that I have the following SQL SELECT
statement...

SELECT * FROM table1

If I bring a copy of table1 from SQL server to the client machine and
save it as XML, I can reload the dataset using the local copy of XML.
Reload the XML will recreate the same dataset as the SQL SELECT
statement created with I was connected to the Server.

However, take the following SQL statement..

SELECT ID, rtrim(ltrim(FirstName + ' ' + LastName, FROM table1 WHERE
userid = '1' OR userid = NULL

What options do I have in loading table1 into a dataset and them
recreating this same SQL statement?  What if the SQL statement was even
more complex with 3 or 4 tables, a few JOINS, etc?  Do I have to build
the dataset tables individually, then set up relationships, and them
perform simple SQL statements one at a time while creating new datasets
with each result?

That seems to be the way the books show you.  However, that seems to be
a major pain.  I might as well right XML parsing code to handle it.
Maybe creating a new dataset from SQL when the user is last connected,
but create one with the JOINS already in place.  Then just use multiple
table().Select
() statements to drill into the records I need.

What do you think is the best way to handle this sort of logic?

Any ideas would be very much appreicated.  I want to make sure I
approach this one correctly so I do not need to rewrite it down the
road.  I  also want to understand what options I have to make sure I am
not missing something that would make this pretty easy to code.

Best regards,
Jon

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