Hello,
I am just wondering if someone out there has tried some Fuzzy matching on databases of large scale i.e - about 20 million contact records. Suppose I wanted to perform matching/ grouping to 10 000 incoming messages. How fast does this usually take? What is the dependence on the number of fields chosen for the match?
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.
We did some "at scale" fuzzy lookup tests today and were rather disappointed with the performance. I'm wanting to know your experience so I can set my performance expectations appropriately.
We were doing a fuzzy lookup against a lookup table with 25 million rows. Each row has 11 columns used in the fuzzy lookup, each between 10-100 chars. We set CopyReferenceTable=0 and MatchIndexOptions=GenerateAndPersistNewIndex and WarmCaches=true. It took about 60 minutes to build that index table, during which, dtexec got up to 4.5GB memory usage. (Is there a way to tell what % of the index table got cached in memory? Memory kept rising as each "Finished building X% of fuzzy index" progress event scrolled by all the way up to 100% progress when it peaked at 4.5GB.) The MaxMemoryUsage setting we left blank so it would use as much as possible on this 64-bit box with 16GB of memory (but only about 4GB was available for SSIS).
After it got done building the index table, it started flowing data through the pipeline. We saw the first buffer of ~9,000 rows get passed from the source to the fuzzy lookup transform. Six hours later it had not finished doing the fuzzy lookup on that first buffer!!! Running profiler showed us it was firing off lots of singelton SQL queries doing lookups as expected. So it was making progress, just very, very slowly.
We had set MinSimilarity=0.45 and Exhaustive=False. Those seemed to be reasonable settings for smaller datasets.
Does that performance seem inline with expectations? Any thoughts to improve performance?
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?
Is there a built in capability in Sql server 2005 to do a search which can handle spelling errors. for eg. We are doing a search for "hanovr" and our database contains "hanover" . In cases when there is a spelling error searching using LIKE,CONTAINS,FREETEXT are not giving me the results. Is there an out of the box solution for this problem. Please Advice.
How do I do a fuzzy search? If I have a table of full names, I'd like the user to be able to do a search and find the record, "Charles Montgomery Burns" with "Monty Burns" or "Montgomry" (mispelling).
Every major web site does this kind of thing (Amazon, Google, etc).
Someone suggested SOUNDEX, but this really doesn't fit the bill. Misspellings often don't use the same sound signature as the originals. Plus, that doesn't handle multi-word searchable texts very well.
Others have suggested tries or suffix trees. If I went this route, wouldn't I have to preload all data out of the database and into this custom structure upon app startup? Is there any way around that? Also, this solution seems like it would require a lot of dev time (building a custom suffix tree with fuzzy lookup capabilities).
Is there a commonly known and acceptable solution to this?
(sorry, also posted to MySQL group; I'm using both databases so a solution in either would be satisfactory)
I am using a fuzzy lookup to cleanse data from a sales line details table, during the import process. The sales order line details contains a filed called 'reference' and this is compared to a field called 'category' in another table. Using data viewers to check through the cleansing process, I notice that the fuzzy lookup doesn't seem to match i.e. tbl.salesline.reference = 'I3' -> tbl.sales.category ='I03' the above is OK, but the lookup also returns the following tbl.salesline.reference = 'I9' -> tbl.sales.category ='I01' The value I9 doesnt exist, and is miskeyed by user entry, and should have been 'I99'. I would have expected the fuzzy lookup to pickup the I99 value as at least two of the chrs are matching, but no, it picks the first 'I*' in the table. If I expand the fuzzy lookup to return more results, i.e. 5 per record, then it returns the first 5 results....I01, I02 I03 and so on. Is there a way of improving the fuzzy lookup itself?
Hi all, I have been trying for a while now to clean some data that containes duplicate data using fuzzy grouping. I can get as far as identifying the duplicate data using fuzzy grouping but how do I get it out so I can insert non duplicate data a dimension table1?
What I am also stuck with is how do u set the data that isn't duplicate in the table1 as well, or is this done in the same step. Please help, deadlines are creeping in on me
The enterprise edition of SQL server includes some advanced BI features, for example the fuzzy lookup feature of IS. If the IS package lives on an enterprise edition of SQL server and the database the package it is targeting lives on a standard edition of SQL server can the advanced features be used? Can you run a fuzzy look against a database on a standard edition of SQL server when th IS package lives on an enterprise edition of SQL server? THANKS!
A column in my database contains phrases such as "Extreme Golf: The Showdown" or "Welcome to Happy Land". I need to write a search engine so that users could type in phrases such as "Golf Extreme Showdown" or "Happy Land" and the correct, or closest matched results will be returned. I don't need variations of words, just phrase keyword match based search. I know I could do this by using multiple LIKE %% statements OR'd together, but this would be too performance intensive. So, I have heard I should use charindex somehow to achieve this in a stored procedeure. Does anyone have any clue how to solve this problem? Thanks!
Im doing a fuzzy lookup based on 3 fields (Surname/DOB/Gender). The only difference between the two sets of data is the case of the first letter of the Surname.
Reference table has "Stuart" Lookup has "stuart", I have set Fuzzy Lookup Input for Surname to Ignore Case but still it won't match.
I am trying to run a SSIS package that contains a fuzzy lookup. I am using a flat file with about 7 million records as the input. The reference table has about 2000 records. The package fails after about 40,000 records with the following information:
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Warning: 0x8007000E at Data Flow Task, Fuzzy Lookup [228]: Not enough storage is available to complete this operation. Warning: 0x800470E9 at Data Flow Task, DTS.Pipeline: A call to the ProcessInput method for input 229 on component "Fuzzy Lookup" (228) unexpectedly kept a reference to the buffer it was passed. The refcount on that buffer was 2 before the call, and 1 after the call returned. Error: 0xC0047022 at Data Flow Task, DTS.Pipeline: The ProcessInput method on component "Fuzzy Lookup" (228) failed with error code 0x8007000E. 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. Error: 0xC0047021 at Data Flow Task, DTS.Pipeline: Thread "WorkThread0" has exited with error code 0x8007000E. Error: 0xC02020C4 at Data Flow Task, Flat File Source [1]: The attempt to add a row to the Data Flow task buffer failed with error code 0xC0047020. Error: 0xC0047039 at Data Flow Task, DTS.Pipeline: 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. Error: 0xC0047021 at Data Flow Task, DTS.Pipeline: Thread "WorkThread1" has exited with error code 0xC0047039. Error: 0xC0047038 at Data Flow Task, DTS.Pipeline: The PrimeOutput method on component "Flat File 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. Error: 0xC0047021 at Data Flow Task, DTS.Pipeline: Thread "SourceThread0" has exited with error code 0xC0047038.
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I have tried many things - changing the BufferTempStoragePath path to a drive that has plenty space, changed the MaxInsertCommitSize to 5,000...
Fuzzy lookup seems to be causing some problems to me. It seems to work at times and doesn't at other times. It would work a couple of times fine and give me the desired results but then without changing anything in the dataflow or the data the next few times it would not run at all and fail the pre-execute of the.
Now I'm currently getting the following error:
[Fuzzy Lookup [248]] Error: An OLE DB error has occurred. Error code: 0x80004005. An OLE DB record is available. Source: "Microsoft SQL Native Client" Hresult: 0x80004005 Description: "Login timeout expired". An OLE DB record is available. Source: "Microsoft SQL Native Client" Hresult: 0x80004005 Description: "An error has occurred while establishing a connection to the server. When connecting to SQL Server 2005, this failure may be caused by the fact that under the default settings SQL Server does not allow remote connections.". An OLE DB record is available. Source: "Microsoft SQL Native Client" Hresult: 0x80004005 Description: "Named Pipes Provider: Could not open a connection to SQL Server [233]. ".
[DTS.Pipeline] Warning: A call to the ProcessInput method for input 249 on component "Fuzzy Lookup" (248) unexpectedly kept a reference to the buffer it was passed. The refcount on that buffer was 2 before the call, and 1 after the call returned.
[DTS.Pipeline] Error: The ProcessInput method on component "Fuzzy Lookup" (248) failed with error code 0xC0202009. 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.
I get the following error when I use Fuzzy Lookup in a Data Flow task with TransactionOption property set to €œRequired€?
[Fuzzy Lookup [61]] Error: An OLE DB error has occurred. Error code: 0x80004005. An OLE DB record is available. Source: "Microsoft SQL Native Client" Hresult: 0x80004005 Description: "Cannot create new connection because in manual or distributed transaction mode.".
When I Change the TransactionProperty to €œSupported€? it works fine. I need the property set to Required for it does an undo in the event of a failure. Any ideas on how to get the Fuzzy Lookup to work
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?
I have a Fuzzy Lookup in a Data Flow Task that is performing a simple text match based on a data view in SQL Server.
I keep obtaining the error below and I have no idea why. Is there a minimum number of rows required in the view in order for the lookup to work properly?
When I take the Store/Manage Index options off the lookup seems to work properly.
Thank you!
[Fuzzy Merchant Lookup [2832]] Error: SSIS Error Code DTS_E_OLEDBERROR. An OLE DB error has occurred. Error code: 0x80040E14. An OLE DB record is available. Source: "Microsoft SQL Native Client" Hresult: 0x80040E14 Description: "A .NET Framework error occurred during execution of user-defined routine or aggregate "sp_FuzzyLookupTableMaintenanceInstall": System.Data.SqlClient.SqlException: Error number 8197 is invalid. The number must be from 13000 through 2147483647 and it cannot be 50000. System.Data.SqlClient.SqlException: at System.Data.SqlClient.SqlConnection.OnError(SqlException exception, Boolean breakConnection) at System.Data.SqlClient.SqlInternalConnection.OnError(SqlException exception, Boolean breakConnection) at System.Data.SqlClient.SqlInternalConnectionSmi.EventSink.DispatchMessages(Boolean ignoreNonFatalMessages) at Microsoft.SqlServer.Server.SmiEventSink_Default.DispatchMessages(Boolean ignoreNonFatalMessages) at System.Data.SqlClient.SqlCommand.RunExecuteNonQuerySmi(Boolean sendToPipe) at System.Data.SqlClient.SqlCommand.InternalExecuteNonQuery(DbAsyncResult result, String methodName, Boolean sendToPipe) at System.Data.SqlClient.SqlCommand.ExecuteNonQuery() at Microsoft.SqlServer.Dts.TxBestMatch.TableMaintenance.RaiseErrorId(SqlCommand cmd, FltmErrorMsgId MsgId, FltmErrorState State, SqlServerSeverity Severity) at Microsoft.SqlServer.Dts.TxBestMatch.TableMaintenance.ReportErrors(SqlCommand cmd, ExceptionType Type, String ErrorMessage, FltmErrorMsgId MsgId, FltmErrorState State, SqlServerSeverity Severity, SqlErrorCollection errors) at Microsoft.SqlServer.Dts.TxBestMatch.TableMaintenance.TranWrap(DataCleaningOperation c) at Microsoft.SqlServer.Dts.TxBestMatch.TableMaintenance.ServerInstall(String etiTableName) .".
Is it possbile to have multiple fuzzy lookup within a data flow?
I need to have at least 3 fuzzy lookup in a data flow. Here're the conditions that I try to find match: 1=Zip&City, 2=Zip&State, 3=City&State. I've the first fuzzy lookup working fine. After that, I've a conditional split to get any unmatch, then use another fuzzy lookup for a second condition...at this point, I get the error saying "The package contains two objects with duplicate name of output column _Similarity..." I do not need to get the _Similarity and _Confidence, so is there a way to exclude them from returning in the output?
Ive just started looking at the Fuzzy Lookup feature and i think i must be getting something fundamentally wrong. I have two tables - each contain different meta data representations for a set of potentially similar documents. The only chance i have of matching a document in table A to a document in table B is a common title field. However, manual input means that the titles may differ in both tables although they are potentially quite similar in most cases.
In the lookup i get to specify the output columns from table B (Reference) which is fine, but i don't seem to get to choose the columns from table A that i would also like to see. So my output shows me all the documents from table B that it thinks are similar to ones in table A...but not identifying which record it's similar to.
I initially thought that the "pass through" columns that i identified would appear in the output - but this does not seem to be the case.
I must be using it incorrectly, but i have no idea how to progress with this apart from creating a new source table (C) which is a full outer join of table A and B - and then also using table C as the reference table, but that seems madness.
I've been doing some research and running some PoCs on using the Fuzzy Lookup Transformation (FLT) and had two questions:
1) When you choose to have a maximum of 1 output returned for each input, does FLT pick this output based on the best (highest) similarity and confidence scores or the first one it finds?
2) Why does FLT not support dynamically setting properties such as ReferenceTableName or MatchIndexName?
Any help or guidance with this is greatly appreciated.
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?
Quick Background: I have an SSIS package that reads data from a flat file then runs it through a Fuzzy Grouping component. The result of this Fuzzy Group is put into a SQL server 2005 table.
Question: Over time, the flat file will be adding new records (some that should be added to existing groups) and so I'll need to update my Fuzzy Group table to include these new records. Is there anyway to simply add these new records to the existing Fuzzy Group without changing all of the _key_out values? If I completely regenerate the Fuzzy Group table that will potentially give me different _key_out values correct?
I'd like to add "fuzzy search" functionality to my application.
"Fuzzy search" in this topic means selecting (from DB table) rows, which have "fuzzy search" coefficient (calculated using etalon string) not less some_predefined_const. Fuzzy search coefficient calculating algorithm can be various.
So with etalon string "Margaret" "fuzzy search" can find "Nargaret", "Margoret", "Margret" etc.
IMHO time to develop, test and tune code must be quite long. I prefer to buy such "fuzzy search" component.
Does anybody know where can I get such component - server version (SQL 2005) or client version (.NET)? How much can such component cost?
I created a fuzzy transformation with an input table and a reference table. When I go to the Columns tab, there are no available input or lookup columns displayed. But if I select a different reference table, sometimes it works.
Are there any specific properties a reference table must have in order for columns to show up?
When i search for Peter.Peter,Pan was successfully retrieved from the DatabaseBut when i Search for Peter Pan.It found no results.How can i make it such tat it can find results for Peter Pan too?In another words, how to make my search engine more powerful,fuzzy and intelligent?My current Code:<asp:SqlDataSource ID="dsSearch" runat="server" ConnectionString="<%$ ConnectionStrings:csHPDB %>" SelectCommand="SELECT * FROM [employee_table] WHERE ([employee_name] LIKE '%' + @employee_name + '%') <SelectParameters> <asp:QueryStringParameter Name="employee_name" QueryStringField="Search" Type="String" /> </SelectParameters> </asp:SqlDataSource>
Andrew Worral writes "I am currenly working on a website that uses Full Text search to search the name of companies.
We are having trouble figuring out what tools are best suited for this with SQL 2005 Standard/Enterprise and how to implement them.
The first issue to address would be Misspelling of words. Such as Looking For "Davids Shoe Repare" and returning "David's Shoe Repair"
Besides the spelling in "Davids Shoe Repare" there is also the issue of the " ' " in David's which we have not come up with a good solution for yet. So a search for David will not returns "David's"
I have done a little looking into Fuzzy matching with Integration Services but I am not sure this is the right tool, nor am I sure of the overhead involved and any speed issues with this. Nor am I in any way overly familiar with Integration Services.
What is the difference between ‘Fuzzy Lookup Transformations ‘ and ‘Lookup Transformations in ssis .any real time senario for better understanding