VB5 / RDO : a problem with SQL-Server 6.5 when inserting

Posted on 1998-12-01
Medium Priority
Last Modified: 2013-12-25

My problem is the following:
In my vb5 project, I have two longinteger arrays of dimension n (n between
10 to 1000), which I would like to store in a table in SQL-Server 6.5 via
If I run the INSERT query n times passing the contents of the arrays row by
row, it takes about 15 seconds for n=1000. If I generate a stored procedure
which takes 2*m parameters, so that I can store m rows in a single query, it
takes exactly the same time to store the 1000 rows in the table.
An idea I had was to pass all data in the arrays as varbinary parameter and
then to extract the information with substring in the stored procedure, so I
would have only one query to call and would call it assynchronously. But
this would not work because I did not succeed in storing a whole array in
one rdoQuery parameter from vb. Another idea would consist in passing the
information in a variable of type text. This is not straight forward because
I could not manage to extract parts of the variable to use as value for the
INSERT statement.

Now my questions:
1) Can I expect performance gains by limiting the number of queries for my
1000 INSERT statements or is the bottleneck in the INSERT itself?
2) Is there a way of storing the contents of an array of longint or an array
of byte in an rdoQuery parameter of type varbinary?
3) How could I possibly extract parts of the contents of variable of type
4) Has anybody some better idea to solve my problem?

Thanks a lot for your help.

Nicolas Regez
Question by:scheuring
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Accepted Solution

cedricd earned 450 total points
ID: 1497904
why don't you use a temporaly access table (creating by you on the programs), put the data on it and when it's finish then use the insert sql statement : insert into (sql server table) (field1,field2...)
select field1,field2 ... from access table

Expert Comment

ID: 1497905
Use bellow algorithm...
'ary->(1 to n,1 to m) dimension array
on error goto errhandle
set rs=cn.openresultset("select * from yourtables",rdopenkeyset)
for i=1 to n 'rows
for j=1 to m 'columns
next j
next i
exit sub

its very fast algorithm.

Author Comment

ID: 1497906
If I use : set rs=cn.openresultset("select * from yourtables",rdopenkeyset)
the resultset is always readonly. Allthought I checked the other options (rdConcurLock,rdconcurRowVer,rdConcurValues) it does not work.

Do you have an advice hakyemez ?
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Expert Comment

ID: 1497907
yes you use rdConcurLock


Author Comment

ID: 1497908
Finally I found a way to manage the data access. But the best performance I got was around 100 INSERTS/Sec. Compared to our SQL-Server this is still very slow (approx. 3000 INSERTS/Sec. if I run a stored procedure).

Do you have an idea how to improved the data throught-put ?

Expert Comment

ID: 1497909
Yes, use sql server :

set con = db.openconnection("dbname",,false,"odbc;dsn=;database=;uid=;passwd=")

and continue as an access table.

Expert Comment

ID: 1497910
use ADO!!! OpenKeyset and BatchOptimisticLock
add records and last rs.UpdateBatch and rs.close


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