>I have a process that I want to speed up. It first was written in
> Microsoft Access then converted to VB.NET. I would like to hear some
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>
> Any suggestions on how to speed this up?
Thanks for the reply Robin. Below are my answers...
> Assuming it doesn't change unless the data stored therein
> changes, store the Soundex numbers for the 20,000 records
> instead of calculating it on the fly.
I will consider that. It would save time, but require more of a
reengineering since we do not store the Soundex value for future use.
We use it and then discard it.
> How are you comparing the names? Are they identical?
> Could you do an inner join to pick up the ones that
> match and compare the Soundex values at the same time?
99.99% of the names (or 100%) will not match exactly. So that will not
help.
> If you can't do the compares at the same time, which
> gives you a smaller sample? Can you start with that
> and then apply the other compare? Do they have to be
> done in a specific order?
I'm not sure what you are getting at here. But the matches are not
done in any order.
> If you have 20,000 records and 9,000 records and matching
> them gives you 300,000 records, you have a serious cartesian
> join going on. Is there any way you can reduce that?
What you said is correct and that is my problem. The 300,000 records
are what I get when the join is done between the 20,000 Soundex values
and the 9,000 Soundex values. There really is no way to get around the
300,000 records. The 300,000 records are valid matches according to
the Soundex values. Then I calculate the percent match between the
names. We need to record the highest percent match for those that
match below 80% and store all matches that are 80% and above.
> Not knowing your data or your data structures, those are
> my first ideas.
>
> Robin S.
Michel Posseth [MCP] - 26 Nov 2006 07:53 GMT
Seems like the Bottle neck is the IO of the 300.000 records
wich is actually not so much for SQL server , i wrote ones a proggy that
inserted millions of records in a sql database this was 12 GB mysql dump
file i neede to do this import as fast as possible as it was production data
coming from a third party .
I tried everyhting , ODBC to a seperate mysql DB took 14 hours to complete ,
DTS wasn`t possible as the file contained SQL statements ( DDL , and inserts
in MYSQL native format ) ....and ....... not possible ........Long story
.......:-)
In the end i converted the data in memory , and created sperate SQL insert
startements on the fly , i saved these statements in batches of 1000 inserts
seperated by a ; ( dot comma ; ) in a string builder and ececuted the
SQL on a command object , the hole proggy took now minutes to complete.
so my advise batch your IO in this way and you will see a hughe performance
benefit
regards
Michel Posseth
> Thanks for the reply Robin. Below are my answers...
>
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>>
>> Robin S.
Cor Ligthert [MVP] - 26 Nov 2006 09:28 GMT
Michel,
It took me a while to find that what you wrote was what I wanted to advice
as well in a way.
Get the data using a datareader.
Process it in memory of a seperated client (or even on the server)
Set it back using the command.ExecuteNonQuery using an Insert command.
Be aware that SQL code even as it is a stored procedure is non builded code.
(although it seems that it can reuse some things on the fly).
Is it the same?
Cor
"Michel Posseth [MCP]" <MSDN@posseth.com> schreef in bericht
news:urUN%23%23SEHHA.4060@TK2MSFTNGP03.phx.gbl...
> Seems like the Bottle neck is the IO of the 300.000 records
>
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>>>
>>> Robin S.