Simply take a row from one datacontext and write it to an identical database table in another datacontext
This worked until a few days ago on my test system, I don't know what circumstances changed but what am I doing wrong please?
I have two databases on my sql server. One is the master database and holds a single row (with 25 columns) per item stored. I have a duplicate table on a separate database on the same server that I use like an archive.
In my code behind, I set up two datacontexts, one pointing to the master database table and one (that uses a different connection string on creation) that points to the archive database table. This all works fine and both datacontexts are available and working.
I then read a single row from masterdatacontext into an entity called, say, "masterRec" and then try and do an "insertonsubmit" on the archive datacontext using the whole "masterRec" I've read. I don't want to have to specify each individual column in the write as this is hideously inefficient and long-winded.
This all worked fine for a week or two, but today it doesn't work. There is an exception about trying to attach an invalid datacontext or something?
All I want to do is read from one datacontext and write the whole row in one go to the archive datacontext. That's not too much to ask is it?
I have two databases on my sql server. One is the master database and holds a single row (with 25 columns) per item stored. I have a duplicate table on a separate database on the same server that I use like an archive.
In my code behind, I set up two datacontexts, one pointing to the master database table and one (that uses a different connection string on creation) that points to the archive database table. This all works fine and both datacontexts are available and working.
I then read a single row from masterdatacontext into an entity called, say, "masterRec" and then try and do an "insertonsubmit" on the archive datacontext using the whole "masterRec" I've read. I don't want to have to specify each individual column in the write as this is hideously inefficient and long-winded.
This all worked fine for a week or two, but today it doesn't work. There is an exception about trying to attach an invalid datacontext or something?
All I want to do is read from one datacontext and write the whole row in one go to the archive datacontext. That's not too much to ask is it?
ASKER
In a nutshell in pseudo-code:
dim altConnString as string = "alternative db connection string"
dim dc1 as db1datacontext = new db1datacontext (default data context)
dim dc2 as db2datacontext = new db1datacontext(altConnStri
dim dc1Rec = (from dc1.table1 where x=y select).firstordefault
if (not dc1Rec is nothing) then
dc2.table1.insertOnSubmit(
dc2.submitChanges()
end if
Like I say, this worked a week or so back as I got data onto the second database, but whether that was a peculiarity of connection strings or something, I don't know, as the above code now generates:
"An attempt has been made to Attach or Add an entity that is not new, perhaps having been loaded from another DataContext. This is not supported."
dim altConnString as string = "alternative db connection string"
dim dc1 as db1datacontext = new db1datacontext (default data context)
dim dc2 as db2datacontext = new db1datacontext(altConnStri
dim dc1Rec = (from dc1.table1 where x=y select).firstordefault
if (not dc1Rec is nothing) then
dc2.table1.insertOnSubmit(
dc2.submitChanges()
end if
Like I say, this worked a week or so back as I got data onto the second database, but whether that was a peculiarity of connection strings or something, I don't know, as the above code now generates:
"An attempt has been made to Attach or Add an entity that is not new, perhaps having been loaded from another DataContext. This is not supported."
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2) This question has been open for a while, without response.
3) I like questions that challenge me to find an answer for things that I don't understand.
4) I would like to help you, but it might be easier if you show me what you have tried, and what has failed (exact exceptions).