I managed to get fuzzy grouping working. The relevant output (_key_in and _key_out) are stored in a new table that is a copy of the old table + fuzzy grouping columns.
How do i get SSIS to store the _key_in and _key_out in the original table?
The new matching column _key_out refers to the new key: _key_in. How could i get SSIS translate that to a matching column that refers to my original key?
Dear Friends,
i think fuzzy lookup
COMPARES WHAT WE ARE MAPING THE COLUMNS WITH SPELLING (IT WILL REJECT ATLEAST 1 LETTER IS DIFFRENT IN ANY RECORD MAPPED COLUMN) EX: RAVI != REVI
what is fuzzy grouping ???? please explain
regards
koti
I am using the Sept CTP, I am doing a fuzzy grouping on 1.5Mil records.
View 7 Replies View Related
hi focks,
WHAT IS THE USE OF Fuzzy Grouping IN SSIS
and please give me the example
regards
koti
Hi - we have been evaluating using Fuzzy Grouping and Lookup for maintaining our large list of customer records. Initial testing with Grouping on about 300K records went great but now with a larger sample of 7.3 million records we are running into problems. It doesn't appear to be system limitation - the index is built reasonably quickly and without errors but when it starts the matching we get these errors:
[Fuzzy Grouping Inner Data Flow : DTS.Pipeline] Error: The ProcessInput method on component "Fuzzy Lookup" (86) failed with error code 0x8000FFFF. The identified component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and will cause the Data Flow task to stop running.
[Fuzzy Grouping Inner Data Flow : DTS.Pipeline] Error: Thread "WorkThread0" has exited with error code 0x8000FFFF.
[Fuzzy Grouping Inner Data Flow : DTS.Pipeline] Error: Thread "WorkThread1" received a shutdown signal and is terminating. The user requested a shutdown, or an error in another thread is causing the pipeline to shutdown.
[Fuzzy Grouping Inner Data Flow : OLE DB Source [1]] Error: The attempt to add a row to the Data Flow task buffer failed with error code 0xC0047020.
[Fuzzy Grouping Inner Data Flow : DTS.Pipeline] Error: Thread "WorkThread1" has exited with error code 0xC0047039.
[Fuzzy Grouping Inner Data Flow : DTS.Pipeline] Error: The PrimeOutput method on component "OLE DB Source" (1) returned error code 0xC02020C4. The component returned a failure code when the pipeline engine called PrimeOutput(). The meaning of the failure code is defined by the component, but the error is fatal and the pipeline stopped executing.
[Fuzzy Grouping Inner Data Flow : DTS.Pipeline] Error: Thread "SourceThread0" has exited with error code 0xC0047038.
One thing we did find is that our test server didn't have SP1 installed and that seemed to help a lot (we were getting buffer errors prior to SP1). One other note - the desination table is populated with all the data but no scoring has been applied to it.
Does anyone have any ideas what could be causing this?
Thanks!
Keith Doyle
Hello,
I have created a project to do de-dupification of addresses.
I understand that Fuzzy Grouping will take less time if it has lesser data volume to process.
My source feed file is sometimes huge. So I am splitting the input into multiple branches based on
the first letter of the city. There are 7 branches in the process.
Source File Feed
|
Split data into 7 groups
|
------------------------------------------------------------------------------------------------------------------------------------------
| | | | | | |
FzGrpg FzGrpg FzGrpg FzGrpg FzGrpg FzGrpg FzGrpg
| | | | | | |
Split Split Split Split Split Split Split
| | | | | | |
------------- -------------- -------------- -------------- -------------- -------------- --------------
| | | | | | | | | | | | | |
<- - - - - - - Write the Canonicals and Dupes from each of these splits into database - - - - - - - - ->
When I designed this I was hoping that each of the Fuzzy Grouping tasks will execute in parallel.
But in reality they are processing one after the other.
Is there anyway to make them execute in parallel?
Appreciate your help.
Thanks
KM
Hi,
I have an Oracle table called "Party" which contains Party_Id as primary key and have Party_Name, Party_Addr etc., as fields. We have lot more duplicate party details such as (party_name and party_addr) in this table. We are trying to aviod duplicates using FUZZY logic of SSIS.
1. Is any body suggest me how to create package to avoid duplicates using Fuzzy logic for this scenario(Step by step instructions are good for me to understand SSIS).
2. Could you please provide me some samples for FUZZY(Please send me a sample to my email)
I was running a Fuzzy Grouping task on SQL Server Enterprise Edition SP1 without any issues. I then applied SP2 and now that same Fuzzy Grouping is causing a minidump and terminating the process.
First, does anybody know anything about this kind of issue?
Second, I tried to run the minidump file in Visual Studio but I cannot actually run the dump file in Visual Studio as I keep getting the following exception:
Debugging information for 'DtsDebugHost.exe' cannot be found or does not match. No symbols loaded.
Finally, I did obtain a random error on the server itself that displayed the GUID: 58FC39EB-9DBD-4EA7-B7B4-9404CC6ACFAB.
This GUID appears to be tied to a Dr. Watson error but, again, I cannot figure out what process is breaking.
Can somebody please help?
Hi,
We do not have any Address Cleansing tools and the requirement is we have to cleanse the data, finding the best possible record which has all info and update other records accordingly.
I am Not sure we can do this Fuzzy Grouping Transformation.
Example:
I have Source table with following info.
Customer_id
Location_Address
Location_City
Location_State
Location_Zip
Location_County
TT101
252 HARVARD RD
ATLANTA
GA
30340
FULTON
TT101
30340
TT101
252 HARVARD RD
ATLANTA
TT102
125TEST
CUMMING
TT102
125 TEST DR
CUMMING
GA
30040
FORSYTH
TT102
GA
30040
Please let me know the solution
Thanks in advance.
Hello,
I have been struggling with this for quite awhile so any help would be appreciated.
I need to know if there is away to populate the fuzzy grouping control dynamically. I know you programmatically design a package and customize it in C# but for our purposes we would like to control the SSIS package via database settings. When the settings change the package would then act different. Its a simple a package consisting of an Input - fuzzy grouping - conditional split - output. The connections are setup dynamically using parameters, expressions and a script task. Is there anyway I could do a similar thing for Fuzzy Grouping?
Hello All,
We have a SSIS package which includes Fuzzy Grouping in Data Flow. It takes two columns from source table and saves outputs in different table with match score etc. Following is the way we are doing it:
1. Load required data from table using OLEDB connection (source)
2. Sort the data
3. Apply Fuzzy grouping (using dedicated database instead tempdb and MinSimilarity = 0.6)
4. Send to destination table using OLEDB connection (destination)
In input table we have millions of records. It takes too long to execute and even sometime it fails after running 12 hours. Any suggestions for performance improvement are welcomed.
Appreciate your help.
Thanks and regards,
Ashish Basran
I have a few questions about the amounts of resources used by the fuzzy grouping transformation. I am running a little less than 5mil records through a fuzzy grouping that exact matches one column and fuzzy matches one. The server executing the package is a dual-core xeon with 2gb ram, running a default instance of sql 2005 enterprise.
I have been attempting to execute this package for a while now but it keeps erroring out for various reasons. At first, it was from a lack of available memory. I limited the memory usage of sql server to 256mb and set the buffer temp storage path, which alleviated those errors. However, now, my tempdb transaction log is growing significantly. It failed once for not being able to grow and reallocate quickly enough, but enlarging the auto-growth factor fixed that. Then, it filled up the volume the tempdb log was on, so now I have moved it to the san and am about to try again.
I was wondering, does anyone have a general idea on approximate resource usage by fuzzy grouping? Specifically, is there an approximate relation between the number of records grouped and the amount of ram/pagefile required? Also, on the database backend, how big can I expect the tempdb data/log files to get?
Hi,
I need some advice on fuzzy lookup / grouping design.
I have a requirement that, I think, is between lookup and grouping transformations.
In one of our applications, users can enter manually a label for some information in the database.
Every month, I will store all the new data in our OLAP DB, and I want to group these labels with a fuzzy logic.
Historical data (already loaded) have to be grouped, as well as new data coming every month.
I have no predefined canonical data, so Fuzzy Lookup seems not adapted to my pb.
Fuzzy Grouping seems ok, but it would require to put historical data as well as new data as an input of the Fuzzy Grouping Transfo to constitute groups. This seems not efficient to me.
Any clue ?
M.D
Hi all,
My question is how to calculate the similarity by using SQL query, example LIKE % , order by.....? Now i'm doing a function same like fuzzy grouping but i do not know how to get the answer, mean how they get match with those selected row of data.
Hope my question is clear. How to write the correct query? What should i do? I 'm newbie in Integration Services, so i need ur explaination in step by step if there hv correction.
I am looking forward to hearing from you shortly and thanks a lot in advance.
Thanks!
rgds,
xuenly
I have recently decided to dedupe my data but i am having a problem after running fuzzy grouping with the query on updating which duplicate to keep
_key_in is unique, _key_out is the duplicates so for example:
_key_in , _key_out , name , score , dedupe
1 , 1 , ron , 10 , purge
2 , 1 , ronn , 15 , keep
3 , 3 , john , 5 , keep
4 , 4 , matt , 15 , keep
5 , 4 , mat , 10 , purge
6 , 4 , matt , 15 , purge
I want to keep the _key_out with the higher score by setting the field de_dupe to 'keep' and the remainder to 'purge'. The score can also be the same within a duplicate so in the case it is the same i just need to keep one it doesnt matter which one. The query i have below nearly works but it marks duplicates with the same score as keep.
Code:
UPDATE b
SET b.dedupe_result = 'keep'
FROM
[BusinessListings].[dbo].[MongoOrganisationACTM1Destination] b
INNER JOIN
[Code] ....
I've seen one other post on this topic from October 2005 and I thought I'd bring it up again. I've a Fuzzy Grouping component in my data flow. The output data from it appears to be the result of records spliced into other records. This includes pass-through columns, not merely "clean" or similarity columns. For example (I've added the suffixes for illustrative purposes):
AddressLine1_in: 162 OAKMONT
AddressLine1_out: 162 OAKMONTLAMINATION INC
CityStateZip_in: Alexander, AR 72002-8539
CityStateZip_out: Alexander, AR 72002-8539116-7066
These are just pass-through columns, although "used" columns are seeing something similar (below.) Any others with this experience?
City_in: Alexander
City_out: Alexandertle Rock
Hello,
I was wondering how Fuzzy Grouping deals with and handles first name similarities. Is there a way to configure it so that Anthony = Tony, Bill = William, etc€¦? I created a simple package with several rows containing similar first names and ran the fuzzy grouping on the first name column. I received only one possible duplicate of Will = William which was at 56%. I lowered the threshold down to 1% and still only one match.
Now I understand and appreciate the reasons for this but was wondering if this type of situation was considered and a way of dealing with it is available.
Thanks,
Beac
Hi All,
Is there a way the fuzzy lookup or grouping can be trained so that similarities and confidence values rely on previously matched strong links?
For example: I can link 80% of my two datasets using one strong identifier (say phone #) which I trust. My goal then, is to use the probability of matching of the rest of my linking fields (say Name,Address,Gender,DOB) in a "matched by phone number" pair to train a fuzzy lookup task to be done on the unlinked 20% of the datasets.
This "training set" would in theory influence the similarity and confidence values of the fuzzy output since each linking column would carry a different weight or contribution towards a confident match.
Does anyone out there knows how to do this in practice in SSIS?
I have tried to process > 3 million Fuzzy grouping records on two different servers with no success. 3 mill works but anything above 4 mill doesn't. Some background:
We are trying to de-dup our customer table on: name (.5 min), address1 (.5 min), city (.5 min), state (exact). .8 overall record min score.
Output includes additional fields: customerid, sourceid, address2, country, phonenumber
Without SP1 installed I couldn't even get a few hundred thousand records to process
Two different servers - same problems. Note that SSIS and SQL Server are running locally on both
The higher end server has 4GB RAM, the other 2.5 GB RAM. Plenty of free disk space on both
SQL Server is configured to use 2 GB of RAM max
The page file is currently at 15GB
After running a number of test on both servers trying different batch sizes etc. the one thing I noticed is that it seems to always error out when SSIS takes over and starts chewing up all the available RAM. This happens after the index is created and SSIS starts "warming caches". On both servers SQL Server uses up about 1.6GB of RAM at this point while SSIS keeps taking over RAM until all physical RAM is used up.
Some questions:
Has anyone been able to process more then 3 million records and if so what is your hardware configuration?
Should we try running SSIS from a different server so it has access to the full amount of physical RAM? (so it doesn't have to fight for RAM with SQL Server)
Should we install Win 2003 Enterprise Server so we can add more RAM?
Any ideas why switching to the page file might be causing errors?
Thanks!!
Keith Doyle
We are working with a client and are using Fuzzy Group transform for de-duping, and hierarchy creation for a national account list.
View 4 Replies View RelatedWill the fuzzy grouping task match a null value to an empty string (or spaces)? I've got 5 columns I'm matching on, and one of them may be null for certain rows but an empty string for others. Given the 4 other columns may match, will this difference stop similar columns being grouped together?
(Someone's modified my grouped data since it was deduped, which takes a while, and I'm hoping for a quick answer on this).
Thanks in advance.
Ben
I have a table that I need to identify similarities so I'm running a Fuzzy Grouping Process. I'm getting the follow errors and I can't identify the problema since all the fields are varchar, except for the first that is int but not use in the fuzzy.
select
MSSEndCustomerTPID
, orgname
, address1
, cityname
, statename
, countryname
from [sales].[vw_Fact_VolumeSales] a
inner join [GMOFBI].[dbo].[vw_Dim_MSS_Organization] b
on a.EndCustomerOrganizationKey=b.MSSOrganizationKey
[code]...
I've been looking into ways to accomplish a fuzzy search and SSIS makes that possible if I want to do a bulk import or something like it. But what it I just want to look stuff up at any given time not haveing to run the package?
Is it possible to expose the fuzzy lookup outside of SSIS to for example t-sql?
Here's an example:
I want to lookup the music artist "Notorious BIG" but in the database it is "Notorious B.I.G." if I use the SSIS fuzzy lookup I basically get what I'm looking for. But how would I call this from a web application? So then I tried Full text search but this doesn't really work out as well.
Will I have to re-write the logic that the fuzzy lookup uses to enable it to work? i.e. using Full Text Indexes and FreeTextTable, ContainsTable, SoundEx and the like to somewhat even come close to what the Fuzzy Lookup has?
I'm really stumped on this one. I'm a self taught SQL guy, so there is probobly something I'm overlooking.
I'm trying to get information like this in to a report:
WO#
-WO Line #
--(Details)
--Work Order Line Detail #1
--Work Order Line Detail #2
--Work Order Line Detail #3
--Work Order Line Detail #etc
--(Parts)
--Work Order Line Parts #1
--Work Order Line Parts #2
--Work Order Line Detail #etc
WO#
-WO Line #
--(Details)
--Work Order Line Detail #1
--Work Order Line Detail #2
--Work Order Line Detail #3
--Work Order Line Detail #etc
--(Parts)
--Work Order Line Parts #1
--Work Order Line Parts #2
--Work Order Line Parts #etc
I'm unable to get the grouping right on this. Since the line details and line parts both are children of the line #, how do you do "parallel groups"?
There are 4 tables:
Work Order Header
Work Order Line
Work Order Line Details
Work Order Line Requisitions
The Header has a unique PK.
The Line uses the Header and a Line # as foreign keys that together are unique.
The Detail and requisition tables use the header and line #'s in addition to their own line number foreign keys. My queries ends up looking like this:
WO WOL WOLR WOLD
226952 10000 10000 10000
226952 10000 10000 20000
226952 10000 10000 30000
226952 10000 10000 40000
226952 10000 20000 10000
226952 10000 20000 20000
226952 10000 20000 30000
226952 10000 20000 40000
399999 10000 NULL 10000
375654 10000 10000 NULL
etc
Hierarchy:
WO > WOL > WOLD
WO > WOL > WOLR
It probobly isn't best practice, but I'm kinda new so I need some guidance. I'd really appreciate any help! Here's my query:
SELECT [Work Order Header].No_ AS WO_No, [Work Order Line].[Line No_] AS WOL_No,
[Work Order Requisition].[Line No_] AS WOLR_No, [Work Order Line Detail].[Line No_] AS WOLD_No
FROM [Work Order Header] LEFT OUTER JOIN
[Work Order Line] ON [Work Order Header].No_ = [Work Order Line].[Work Order No_] LEFT OUTER JOIN
[Work Order Line Detail] ON [Work Order Line].[Work Order No_] = [Work Order Line Detail].[Work Order No_] AND
[Work Order Line].[Line No_] = [Work Order Line Detail].[Work Order Line No_] LEFT OUTER JOIN
[Work Order Requisition] ON [Work Order Line].[Work Order No_] = [Work Order Requisition].[Work Order No_] AND
[Work Order Line].[Line No_] = [Work Order Requisition].[Work Order Line No_]
from the December 2004 _Redmond Magazine_, "Finding Gold in Yukon":http://redmondmag.com/columns/artic...ditorialsID=838"Developers will also pick up the usual new-version enhancements to T-SQL,including error handling, recursive queries, a ROW_NUMBER function, a PIVOTrelational operator and more."ROW_NUMBER???? What possible purpose could that have???
View 5 Replies View RelatedHi,
I got an issue with encrypt and decrypt. I encrypted a data, say 'ok', then I decrypt the encrypted data, but what I got is not 'ok'. but if I encrypt a column, then after decryption, those data asr same with the original data in that column.
In my case,
...
create table mytable ( column Password varbinay(128) )
...
create symmetric key with certificate
...
OPEN SYMMETRIC KEY Sym_Key_01
DECRYPTION BY CERTIFICATE Cert;
UPDATE mytable
SET Password = EncryptByKey(Key_GUID('Password_01'),'ok')
select CONVERT(nvarchar, DecryptByKey(Password)) AS "Decrypted Password" from mytable
here, I didn't get the value 'ok' but a another wierd word (like a chinese word).
does someone know the reason?
Thanks,
Jone
When using @original_{0}, how does this work if you are using a stored procedure instead of inline SQL? For example, if my update parameters are like this :
<UpdateParameters>
<asp:Parameter Type="String" Name="ProductType" />
<asp:Parameter Type="String" Name="OpportunityType" />
<asp:Parameter Type="Double" Name="Value" />
<asp:Parameter Type="String" Name="Probability" />
<asp:Parameter Type="Int32" Name="OpportunityID" />
</UpdateParameters>
And my stored procedure like this :
CREATE procedure dbo.UpdateOpportunity
( @ProductType int, @OpportunityType int, @Value money, @Probability int, @OpportunityID int)
as
update Opportunity set ProductType = @ProductType, OpportunityType = @OpportunityType,[Value] = @Value, Probability = @Probabilitywhere OpportunityID = @OpportunityID
Do I need to change both cases of @OpportunityID in my stored procedure to @original_OpportunityID for it to work?
Hi All,
How can I find out the original size of the database?
Thanks.
How can I find out the original size of the Data and Log files?TIARob
View 2 Replies View RelatedI have a tempdb that was created at 1Gig. I don't know why but I want to shrink it below the original creation size. Is there a way to shrink this file or create a new file and delete the old?
I have tried shinkfile and shrink database with no luck.
Thanks Jeff
Hello, everyone:
I have a table like:
ColName
b
b
b
d
d
d
a
a
c
c
c
I use DISTINCT to filter duplicated row. I want to get the return by original order like:
b
d
a
c
However, SQL Server re-order it if using DISTINCT and return like:
a
b
c
d
Can any one have the idea to handle that? Thanks
ZYT
Hi all,
I restored a backup of a database running SQL Server in W2K to my own laptop (Windows XP) for report testing pourposes. The restore worked perfectly, but when I ran the store procedure that returns my "report" set I noticed that several of the fields within the result set are different, the number of rows and customers are a perfect match to the production report. The fields that are different are calculated fields that invoque a user defined function, which again are exactly the same on both databases. I tried dropping the stored procedure and the 4 functions and recreating them again but I get the same results, the number of rows, the customers and all "non" function calculated fields are perfect, only the fields calculated with the functions are wrong.
Has anybody seen this behavior?
Thanks for your help
Luis Torres
Does anyone know how to get the original Login name, while a context switch is in effect.. For example during the use of Original login to SQL is Wayne
Then Execute as Test
Now I need to know that Wayne is the Login and not Test
none of the standard things work, they all use the current context (suser_sname, etc)... Books online includes the following text
SYSTEM_USER returns the name of the currently executing context. If the EXECUTE AS statement has been used to switch context, SYSTEM_USER will return the name of the impersonated context. Use the LOGIN() function to return the name of the original login during impersonation.
But I cannot find any function called LOGIN() anywhere?
Suggestions>?