I am trying to digest this logic, and have been unsuccessful so far. I am designing a package for incremental loads, but the destination table has a composite primary key on 2 columns, one of which is nullable. The source data comes from a SPROC. Uptill now, I have been banging my head trying to get this logic to work via the Lookup transform with a conditional split, but it doesn't work. Am I on the right track, or should I be using the SCD Wizard?
As a side note, I have been trying to work a solution using Andrew's blogpost on doing incremental loads: http://sqlblog.com/blogs/andy_leonard/archive/2007/07/09/ssis-design-pattern-incremental-loads.aspx
I have a very simple problem I am trying to solve.
I have a table with a "DateEntered" field, and I have an ssis pkg set up to load data from a file into the database table. I just want to make sure that no one loads the same file twice in one day.
For example, if today is 8/22/07, and "DateEntered" is "2007-08-22", then I want to add a Lookup transform to run a query that will check and see if there's any rows in the table with a "DateEntered" is "2007-08-22". If so, don't load the file again!
Here's my query:
SELECT Code FROM myTable WHERE DATEADD(dd, DATEDIFF(dd, 0, DateEntered), 0) = DATEADD(dd, DATEDIFF(dd, 0, GETDATE()), 0)
(all the dateadd stuff is doing is removing the time portion from the DateEntered field, so we are comparing apples to apples).
Now, if the query returns a bunch of "Codes" then we know that the data has already been entered for the day! So far, so good.
Now, how do I set up the Lookup to get it to work? I'm getting this error message: Error 1 Validation error. Data Flow Task: Lookup [1299]: The lookup transform must contain at least one input column joined to a reference column, and none were specified. You must specify at least one join column. FXRateLoader.dtsx 0 0
But I thought I did this! On the columns tab, I have: Lookup column: code Lookup operation: Replace 'code' Output alias: code
I have my error output set to: Lookup output - redirect row
Hi! I am a newbie, grateful for some help. I have a Source Ole DB w sql-command selecting the customer.salary and customer.occupation, which I want to match with demo_id in Ole DB destination. salary, occupation also in dim_demographic. But in Lookup editor I find no column demo_id... how do I do this?
I have a ETL that have a Lookup transform to get a rate from a table SpotRates.
The problem is when the match od some date in SpotRates Table doens't exist...
And for that records I need to lookup for next date...
For example...
SpotRate Table
Date Currency Rate
05-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2262
06-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2312
07-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2179
10-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2099
11-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2105
12-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2125
13-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2094
18-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2252
19-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2346
20-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2346
21-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2315
24-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2365
25-04-2006 0:00 DOLAR ESTADOS UNIDOS 1,2425
When I first try to lookup the date 17-04-2006, doesnt give me any records... and I need to create a new lookup for the next date from 17-04-2006. And in this example the next date is 18-04-2006.. How can I do it??
I made a sql query date gives me the next date with 2 parameters ... but I'm having some errors...
SELECT TOP 1 Data FROM Spot_Rates WHERE (Currencies_Name = ?) AND (Data > CONVERT(DATETIME, ?, 102)) ORDER BY Data DESC
In this exampple, the parameters returned from lookup1 is:
Currencies_name= 'DOLAR ESTADOS UNIDOS'
DATE='17-04-2006'
I need to create a second lookup transform to return the next date/currency for each row that didnt match in the first lookup...
I want to do something relatively simple with SSIS but can't find an easy way to do this (isint it always the case with SSIS )
I have a column lets say called iorg_id, and I want to lookup the matching rows for this col in a table. In this table iorg_id may have several potential matching rows. In this table there is another col called 'Amount'. I want to retrieve for each iorg_id the matching iorg_id in the other table but only the row with the largest value in the 'Amount' col.
I couldn't find a way to do this all in the Lookup Transform. I can match the iorg_ids and retrieve the Amount column, but can't find a way just to retrieve the matching row with the largest value in the Amount col. The only way I can think to do this is then run the output from the Transform through an Aggregate function and determine the Max (although haven't tested this yet).
Seems strange to me in that the SQL in the Advanced tab gives me something like: select * from (select * from [dbo].[Table1]) as refTable where [refTable].[iorg_id] = ?
where I believe the first 'select *' is retrieving all the cols that are listed in the LookupColumns list in the Columns tab. I thought I would be able to amend this to something like: select max(amount) from (select * from [dbo].[Table1]) as refTable where [refTable].[iorg_id] = ?
but I get a metadata type error.
So, questions are: Is it possible to do this all in the Lookup Transform are do I have to use the Aggregate function as I think ? Why is it not possible to amend the sql in the Advanced tab to manipulate the returned data ?
Please indulge my ignorance, as I have only been using SSIS for a couple of weeks. I'm trying to create a data warehouse using two input tables. A column needs to be added to one table by using a lookup into the second table. SSIS seems to handle the "no matches" and "single match" cases perfectly. I can't for the life of me figure out how to properly handle multiple matches. SSIS defaults to the first match, but I need to compute the "best" match.
Is it possible to use a VARIABLE in the Lookup Transform? I am setting the cache mode to partial and have modified the caching SQL statement on the advanced tab to include the parameterized query, but the parameter button only allows me to select columns to map to the parameter. I need to use a variable instead. I see the ParameterMap property of the transform in the advanced editor, but don't see how I can use this to map to a variable.
Can this be done, or do I need to use a new source, sort and left join component to accomplish the same thing?
i'm creating a Lookup programmatically. But i can't find out how to assign the ConnectionManager that references the lookup data. Do you have an example for me?
i configure the lookup transform in the data flow task "Input column has a data type that cannot be matched".
This is the query that i use to set the reference table dataset
select firstname, lastname, address, email from customers_dimension cd , cust_test ct where cd.address<>ct.address.
I basically want to try and find all those records that have the same firstname, lastname, email in the customer dimension table where the records do not match. Both the input fields and the lookup fields have the same data type [varchar(max)].
It is pretty confusing, so much so that i did the lookup against the exact same table and got the same error.
Does anyone have a better idea as to what the problem is?
Thankyou
P.S.-This is the caching statement in the advanced tab select * from
(SELECT firstName FROM Customers_Dimension) as refTable where [refTable].[firstName] = ?
I'm trying to lookup a value in another table linking on a column of datatype DT_R8. The lookup transform is complaining that I can't link on that datatype. However, the documentation says that it should work. I'm using the April CTP. Is this fixed in a later version? Any suggestions?
I am having problems with a lookup transformation. I have a row in my lookup table for blank ('') source data. If I test the join using SQL the match is made, but the Lookup transform doesn't consider it a match and sends it to error output. Is there a property that I don't have set correctly or something else I am forgetting?
Has anyone find solution for this problem. i also checked http://forums.microsoft.com/MSDN/ShowPost.aspx?PostID=298056&SiteID=1 and http://blogs.conchango.com/kristianwedberg/archive/2006/02/22/2955.aspx
Suppose have a Dimension table
DimColor ---------------------------- ColorKeyPK(smallint) ColorAlternateKey(nvarchar(30)) -1 UnknownMember 1 2 Blue 3 Red 4 Black
Color with the ID 1 is empty string
FactOrders --------------------------- OrderID Date Color Quantity
OrderID = 1 Color = 'Black' Quantity = 10 OrderID = 2 Color = 'Red' Quantity = 20 OrderID = 3 Color = '' Quantity = 10 OrderID = 4 Color = 'Blue' Quantity = 5 OrderID = 5 Color = Black Quantity = 10
When i use the Lookup transform it cannot find the ColorKeyPK
The result of the Lookup transform is. ------------------------------ OrderID = 1 Color='Black' ColorKey=4 OrderID = 2 Color='Black' ColorKey=3 OrderID = 3 Color='Black' ColorKey=NULL ----> This is the problem Lookup cannot find empty string. It should be 1. OrderID = 4 Color='Black' ColorKey=2 OrderID = 5 Color='Black' ColorKey=4
I've a simple lookup transform in SSIS 2008 (R2). I've created it with a full cache and it worked fine. When i switch to partial cache, it will give me this error:
-------------------------------------------------------------------------------------------------- TITLE: Package Validation Error ------------------------------ Package Validation Error ------------------------------ ADDITIONAL INFORMATION: Error at DFT_AdventureWorks [Lookup [411]]: SSIS Error Code DTS_E_OLEDBERROR. An OLE DB error has occurred. Error code: 0x80004005.
[Code] ....
I've created a OLE source with the following query :
SELECT SalesOrderID, OrderDate, CustomerID FROM Sales.SalesOrderHeader
And this will flow into the lookup transform and this has the following lookup reference query:
SELECT CustomerID, AccountNumber FROM Sales.Customer WHERE CustomerID % 7 <>0
I have a package that works fine in development. I move the package over to test and it fails validation in the lookup transform.
Error 46 Validation error. Data Flow Task - PO Lines Interface: Lookup - LIST PRICE [29621]: output column "LIST_PRICE_PER_UNIT" (29667) and reference column named "LIST_PRICE_PER_UNIT" have incompatible data types. SPO_TO_ORACLE_PO.dtsx 0 0
What strikes me as odd is the fact that I don't have a way of specifying the data types. I just specify the column I wish to return as a new column with the same name. Anyway, why would this work in one instance but not another?
I am using the lookup transform with the following settings:
Reference table: Use results of an SQL query. The query retrieves the surrogate key and four business key columns from a dimension table which contains a few thousand rows.
Columns: business keys in the incoming data are mapped to the business keys in the reference table, and the surrogate key is looked up from the reference table.
Advanced: Enable memory restriction is OFF (and the other items on the Advanced tab are greyed out).
I assumed that this means that the lookup transform would cache all of the rows in the SQL query, and then perform the lookups against this cache. This is the behaviour that I saw when I was running the package in my local environment in the BIDS debugger.
However, a colleague was doing some profiling on our production database server, and noticed that the lookup transform is instead issuing a single SQL query for each row of input. Our production ETL server has many GBs of free RAM available (way more than enough to cache the contents of the lookup table in memory), and given that memory restriction is disabled, I don't understand why the lookup transform is behaving in this fashion. Does anyone have an explanation for this? I'm probably misunderstanding a key concept here.
I have a requirement to access a lookup table from within an SSIS Transform Script Component
The aim is to eliminate error characters from within the firstname, lastname, address etc. fields by doing a lookup of an ASCII code reference table and making an InStr() type comparison.
I cannot find a way of opening the reference data set from withing the transform.
I work in the healthcare area, and am handling the survey data ETL's. There are around 8 different survey areas and based on information received from them for the visit they reference, I want to pull in more info from our invoicing database. My idea is this:
1.) Pull in the flat file to an ODBC staging table 2.) Cache all invoice records that fall between the MIN(Date of Service) and MAX(Date of Service) from the staging table. 3.) First lookup the information needed on patientID, providerID, date of service, and billing location. 4.) For the surveys that didn't match on those 4 columns, try looking up based on patientID, date of service, and billing location (since I could be 99% sure this would still return the record I need). 5.) For the remaining surveys, lookup based just on patientID and date of service. These records will be flagged for manual review because clearly, if a patient has multiple appointments in the same day, this will be prone to error.
However, in trying to use only 3 of the columns in the lookup, I get the error saying basically that I need to utilize all 4. Is there a way around this, or is there an entirely different way I should be approaching this? The reason I thought cache transform was the answer is because I will need to run a different package for each lookup, as the data and logic between each survey will vary, but the invoice data "pool" will stay the same regardless.
I would like to know what happens when a very large reference data set for a lookup transform with full caching enabled is getting loaded during package execution and the computer memory runs out or is very low. Does SSIS a) give an out of memory error of some sort b) resort to a no caching or partial caching mode c) maintain the full caching mode but will switch to using the paging file(virtual memory).
I think it will resort to using the page file in which case the benefits of in memory lookups are lost and performance would suffer. If I cannot upgrade the memory or shrink the reference set somehow, i should switch that lookup task to use partial caching or no caching with an indexed lookup table. Would this make sense?
We are using lookup transformation in SSIS 2012. The lookup transformation queries a table with two date columns. When we hover the mouse over the two columns in the 'columns' tab of the lookup transformation editor, the two columns show as DT_WSTR instead of DT_DBDATE. This causes the SSIS package to fail due to data type mismatch.A similar abandoned thread is available at: URL....
I am trying to interpret some of the results I observe when trying to match similar records using a fuzzy lookup transform, but it's not entirely clear how the overall row similarity score is calculated. In particular, sometimes rows with lower individual column similarity scores will achieve a higher similarity and confidence score than a matching row with higher individual column scores.
The transform is configured with 6 text fields set to fuzzy mapping and a minimum similarity of 0, and 3 additional numeric fields with an exact mapping. It is set to return a maximum of 2 matches per lookup and to do an exhaustive search of the reference table.
For example, from the following matching pair of records Match 1 is picked over Match 2 even though it's individual scores are lower.
I have a table which has a composite primary key consisting of four columns, one of them being a datetime called Day.
The nice thing afaik with this composite key is that it prevents duplicate entries in the table for any given day. But the problem is probably two-fold
1. multiple columns need to be used for joins and I think this might degrade performance? 2. in client applications such as asp.net these primary keys must be sent in the query string and the query string becomes long and a little bit unmanagable.
A possible solutions I'm thinking of is dropping the existing primary key and creating a new identity column and a composite unique index on the columns from the existing composite key.
I would like to have some tips, recommendations and alternatives for what I should do in this case.
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'm working with an existing package that uses the fuzzy lookup transform. The package is currently working; however, I need to add some columns to the lookup columns from the reference table that is being used.
It seems that I am hitting a memory threshold of some sort, as when I add 3 or 4 columns, the package works, but when I add 5 columns, the fuzzy lookup transform fails pre-execute:
Pre-Execute Taking a snapshot of the reference table Taking a snapshot of the reference table Building Fuzzy Match Index component "Fuzzy Lookup Existing Member" (8351) failed the pre-execute phase and returned error code 0x8007007A.
These errors occur regardless of what columns I am attempting to add to the lookup list.
I have tried setting the MaxMemoryUsage custom property of the transform to 0, and to explicit values that should be much more than enough to hold the fuzzy match index (the reference table is only about 3000 rows, and the entire table is stored in less than 2MB of disk space.
Say I want to lookup a value in another dataset, but there is a grouping that requires you to know what the values for each level is in order to get to the correct detail record. Can you still use the lookup function with more than one field to compare against? So for example
Department \___SalesPerson \___Measure
I want to be able to add a new row at the Measure level, but lookup each field from another dataset. In order to do that I will need the Department AND SalesPerson values to do the lookup, but I dont think the Lookup function will let us do that will.
Actually this is in regard to SCD Type 2 Dimension, Scenario is like that I am moving Fact table from some old source and I have dimensionA description value in fact which I want to replace with appropriate id from Dimension Table and that Dimension table is SCD Type 2 based on StartDate and EndDate and Fact Table doesn't contains direct date value rather there is timeId in Fact so to update the value in Fact table I have to Join Time Dimension table and other Dimension Table to replace fact Description with proper Id.
I am doing a lookup that requires mapping 2 columns in the column mapping section. When I do this, I get the error "Row yielded no match during lookup" . The SQL that I captured in SQL profiler does find the record when I run it in Management Studio. I have already tried trimming everything to no avail.
Why is this happening?
I tried enabling memory restrictions but then I my package hangs and I get a SQLDUMPER_ERRORLOG.log file with the following logged:
I have a Conditional Split with 3 outputs. On the first output I have a lookup, when I execute the package I have 56 rows going through the Conditional Split, all rows are then going to the 2nd and 3rd output but the lookup on the first output generates an error "Row yielded no match during lookup".
I don't understand why the lookup is generating an error while there is no row going through it.
I am designing a ssis package,This is intends to mine text data(Data extracted from websites). Term lookup/Term extraction has been used as tools for mining. I have lookup terms defined with me for reference table,but the main problem lie in extracting the nearby text/number/charcters to these lookup terms during mining. For example : I found noun "Email" 200 (frequency score) times in my text,Now I want to extract nearby email address(this is also true for PhoneNumber,Address attributes also).so how can I achieve this with SSIS. If u have some idea/suggestion to carry out this challenge with or without Term Extraction/Term Lookup,plz do write here.
I'm just now learning both SQL and ASP.NET, and I cannot seem to figure out how to build my data structure. I believe the answer to my problem is a composite key, but I cannot seem to get it to work. Here is an example. My database is of recorded dances, with exact locations within a ballroom. I believe I need 2 tablesTable #1 - DanceTableColumns: DanceID, Name, Description, TagsTable #2 - StepsTableColumns DanceID, StepID, longLocation, latLocation, Action, DescriptionWithin my ASP.NET application I want to be able to enter data about a dance, including metadata and a series of steps. The Dance and metadata content to be stored in DanceTable, and the series of moves stored in the StepsTable. I want the steps to be IDed as 1, 2, 3, 4...x with the first step being labled 1. and I want each dance to have it's own unique ID (DanceID). Right now I'm using "ExecuteNonQuery()" to add my data to my SQL database, and when I add new steps to the StepsTable SQL just finds the largest ID within StepID and increments it by one. So my steps are labeled as:Dance1:Step1, Step2, Step3, Step4Dance2:Step5, Step 6, Step7What I really want is (or I think what I want is) is a composite primary key.Dance1:Step1, Step2, Step3, Step4Dance2:Step1, Step2, Step3That way the StepID is used as both a primary key and it indicates the position within the dance. I guess I could just use a standard SQL table, let SQL auto generate StepID's and then add a new column called something like "StepNumber", but it just seems goofy to be generating a stepID and never using it. With composite keys (If I understand them) each step would have a unique key as a combination of the DanceID+StepID (AKA Dance 345, steps 1-10). I pull up data by searching for dances, and then sort by StepNumber, and those should all be unique...if I can figure out how to build them.
I have a table with a composite key formed by the unique combination of columns w, x, y, z I'm trying to write an INSERT statement along the following lines INSERT INTO myTable (SELECT w, x, y, z FROM someTable) t1 WHERE (this is the part I'm stumped on - where the unique combination of w, x, y, z is NOT in myTable already) Help would be appreciated. Can you use the NOT IN keyword on composite values?
How can I create a composite key (two primary keys for one table) using SQL Server 2005 Management Studio? Can I do it using the GUI, or do I have to write SQL code to do this? Thanks
Made an interesting discovery today - a column of data type Bit is not allowed to participate in composite key. Rather surprised.
I have a certain unique code that exhibits 2 unique states, which rendered the use of the boolean column, so the uniqueness goes <code>-1 and <code>-0. Is there any 'hack' so to speak to avoid using a Tinyint for the boolean column instead?
