My Data Flow works fine and everything is going without any errors, but my Destination is without the 3rd Attribute (CustomerPhone). Whats wrong in my configuration?
I am using the unpivot transformation, but I can't figure out how to use an expression in the Pivot Key Value.
The denormalized table I want to unpivot has columns like Sunday_Qty, Monday_Qty, Tuesday_Qty, etc. Just before the unpivot component, I inserted a derived column component that adds fields like DateSun, DateMon, DateTue, etc. that resolves to values like 01/07/2007, 01/08/2007, etc.
So for the various rows in the Unpivot Transformation Editor, I entered DateSun, DateMon, DateTue, etc. for the Pivot Key Value, and "EntryDate" for the pivot key value column name.
The data pipeline gets unpivoted correctly, but the rows have the literal values "DateSun", "DateMon", etc. in the EntryDate column.
How do I tell SSIS to use the DateSun column instead of the string "DateSun"?
Hi, I am trying to use the Unpivot Transformation, and I have the following mapped out, following the example from the SQL Server 2005 BOL Unpivot Transformation:
Col Name Subject Question ValueNumeric ValueString
Data Records 99999 RACE 1 NULL
99999 OTHRRACE NULL NULL
99999 GENDER 1 NULL
88888 RACE NULL NULL
88888 GENDER 2 NULL
88888 OTHRRACE NULL Hispanic
77777 RACE 2 NULL
77777 GENDER 2 NULL
77777 OTHRRACE NULL NULL
This doesn't work, however, as I have multiple data types. So unless someone knows a better way, I had to split it into two Unpivot Transformations, which I later Sort and Merge together. The two Unpivot Transformations look like this:
The first Unpivot works great, because the data is mandatory. However, the second is full of NULLs so the actual output from the second Unpivot, prior to the merge looks like this:
I have an Issue. Please find the sample of my data source
StudentID Fee 1 Fee 1 Currency Type Fee2 Fee 2 Currency Type
1 10 USD 20 INR
2 45 EUR 20 USD
If I need to transform this data, it should be like below Table.
ID StudentId FeeType FeeAmount CurrencyType
1 1 Fee 1 10 USD
2 1 Fee 2 20 INR
3 2 Fee 1 45 EUR
4 2 Fee 2 20 USD
I have selected columns Fee 1 and Fee 2 in Unpivot Transformation. I set the "FeeAmount" as Destination Column Name and "FeeType" as Pivot Key Value Column Name. I left the Pivot Key Value as is for all the selected columns. So far no issue that I am able to get the Fee Type and Fee Amount columns for my destination table.
But the issue is how to get the Currency Type for each corresponding coulmns? I was not able to get the currency type for each student. I hope you got my point. Please let me know If have further queries and hel me out to find this.
Table 1:id1 name10 - Monday20 - Tuesday30 - Wed..40 - etcTable2:id2 - name5 - blue25 - red33 - yellow77- greeHow do I use SQL to join the tables so that the "id1" columns join onthe largest "id2" value smaller than "id1"Result:Monday - blueTuesday - blueWed - redetcThanksJFO
If you have two synchronous transformation components and the input of the second is connected to the output of the first, does the first transformation process (loop through) all rows in the buffer before outputting these rows to the second transformation? Or does the first transformation output each individual row to the second transormation as soon as it has finished processing it?
Could some body give me little help on this? The UNPIVOT is new to sql05, and I did not find many useful helps out there.
My understanding is that it will normalize the data in column name (the UNPIVOT FOR part). As my sample shows here, I want to get that from one of the row.
Here is the sample, and of cause the Select PIVOT part is not working.
Also, if UNPIVOT is not the right way to go after it, what is the right way?
Thanks!
USE tempdb; GO If Object_ID('#pvtSales') IS NOT NULL Drop table dbo.#pvtSales; GO
I have a table with the following fields: ID, StartDate, Day1, Day2, Day3. This table is filled with hours.
I want to unpivot this table to get the following: ID, Date (=Start date), hours ID, Date + 1 (=Start date + 1), hours ID, Date + 2 (=Start date + 2), hours
The trouble I have concerns the dates. Please help.
I know I could achieve this by using SQL and UNION ALL: SELECT Col1, Code1 as Code, Amt1 as Amt, Col<n>... FROM <mySource> UNION ALL SELECT Col1, Code2 as Code, Amt2 as Amt, Col<n>... FROM <mySource>
But I was wondering if the built-in unpivot transform could do the job here.
We are trying to unpivot the columns into rows but the colunms are changing dynamically, want to know how to set the dynamic value or variable in unpivot query, query is mentioned below:
declare @aw Varchar(100) set @aw = '1990,1991' SELECT [name], [year], [data] FROM (SELECT * FROM t1 where [name] != 'name') p UNPIVOT ([data] FOR [year] IN (@aw) )AS unpvt
The above query while executing geting error message "Incorrect syntax near '@aw'"
I need to unpivot an excel worksheet with the following format
Artcode Model Qtd1 Price1 Qtd2 Price2 Qtd3 Price3
Article1 Model1 1 10 2 11 1 12
Article2 Model2 3 15 3 12 2 14
Article3 Model3 2 12 2 20 1 15 If I had only one destination column, for ex: Qty, I had no problem, but I need to have 2 destination columns, Qty and Price. Is I set 2 different destinationcolumns I get the following error: Unpivot [2514]: PivotKeyValue is not valid. In an UnPivot transform with more than one unpivoted DestinationColumn, the set of PivotKeyValues per destination must match exactly.
When using unpivot transformation, what exactly this error denote
"Incorrect UnPivot metadata. In an UnPivot transform, all input columns with a PivotKeyValue that is set, and are pointing to the same DestinationColumn, must have metadata that exactly matches "
Hi All, We are trying to unpivot the columns into rows but the colunms are changing dynamically, want to know how to set the dynamic value or variable in unpivot query, query is mentioned below:
declare @aw Varchar(100) set @aw = '1990,1991' SELECT [name], [year], [data] FROM (SELECT * FROM t1 where [name] != 'name') p UNPIVOT ([data] FOR [year] IN (@aw) )AS unpvt
The above query while executing geting error message "Incorrect syntax near '@aw'"
I have a 2 outputs from 2 individual Unpivot transformation, now i want to compare the resultant of these two and find the odd / unmatched rows, could anyone please tell me how to achieve this?
I am running into a problem which seems to indicate SQL Server 2005 is pretty aggressive with its implicit conversion which makes UNPIVOT apparently unusable for my current task of creating attribute/value pairs of strings for each of the records unpivoted around the primary key.
WITH cte as
(
SELECT 1 as Code, '2' as Status, 'Some Guy' as CreatedBy, Convert(varchar(19), getdate(), 120) as CreatedDate
)
SELECT
[Code]
,[Attribute]
,[Value]
FROM
cte
UNPIVOT([Attribute] FOR [Value] IN ([Status],[CreatedBy],[CreatedDate])) as U;
Msg 8167, Level 16, State 1, Line 1
The type of column "CreatedBy" conflicts with the type of other columns specified in the UNPIVOT list.
The same result shows up if I use an inner SELECT instead of the CTE:
SELECT
[Code]
,[Attribute]
,[Value]
FROM
(
SELECT 1 as Code, '2' as Status, 'Some Guy' as CreatedBy, Convert(varchar(19), getdate(), 120) as CreatedDate
) cte
UNPIVOT([Attribute] FOR [Value] IN ([Status],[CreatedBy],[CreatedDate])) as U;
It seems to me that some arbitrary decision about what column is processed first is made and the process fails as soon as a column is met which is not of the same datatype. I also think it is interesting that the engine will implicitly cast from varchar to DateTime but not the other way around.
Trying to optimise the below query, I believe it's do with the estimated rows on the unpivot using Supratimes this seems to be the only sticking point.The query below is an example replicating what I'm trying to do in live, it takes around 2 seconds to run on my pc.
Maybe someone of you folks already stumbled upon this one and can help.
I'm using an Unpivot transform in a dataflow. I want to unpivot various columns that are all of type dt_str(50). Some of those (input) columns may contain NULL values in some rows, like this:
col1 col2 col3 col4
BusinessKey val1 NULL val3 val4
As I run this package, I'd expect the Unpivot's output looking like this:
BusinessKey col1 val1
BusinessKey col2 NULL
BusinessKey col3 val3
BusinessKey col4 val4
But Unpivot won't output a Key/Value pair if an input value is NULL. So in fact the output looks like this (col2 is missing):
BusinessKey col1 val1
BusinessKey col3 val3
BusinessKey col4 val4
The BOL documentation doesn't tell anything about Unpivot behaviour if input values are NULL (or at least I couldn't find it).
Now, is this a known problem? If so, is there a fix or workaround so that I can tell Unpivot to output NULL values?
I have an issue that feels like it requires an Unpivot task, but I'm struggling to visualise the best way to do it. I'd be grateful for any advice on this.
I have this dataset in my pipeline
moduleid startdate modenddate
Revenue MonthsOnModule
800091 05/09/2007 30/12/2007 150 3
800094 05/09/2007 30/11/2007 148 2
800095 05/09/2007 30/12/2007 300 3
Basically, each module has a start date and an end date. Therefore, with a simple datediff, we can get to MonthsOnModule.
Each module attracts an amount of revenue, which need to be allocated equally to each month over which the module runs.
In the example above, Module 800091 lasts 3 months, generates £150 revenue, so in September 2007, it attracts £50, in October 2007 It attracts £50, In November 2007 it attracts £50.
I'm using this package to populate a fact table in an OLAP Data Warehouse. The destination table needs to hold the data like this:
moduleid Month value
800091 200709 50
800091 200710 50
800091 200711 50
800094 200709 74
800094 200710 74
800095 200709 100
800095 200710 100
800095 200711 100
Now that looks like a pretty straight unpivot, but in order to unpivot, you have to have columns to unpivot into rows. In this case, I would need one column for each month that the module lasted. Modules can last any number of months. Some last 40 months, and there is no reason why one couldn't last 100 months or more.
I just can't really seem to visualise my approach to this transform. Anyone got any ideas?
i have this particular problem with the unpivot.The below is my flat file source.The dates can go upto 130 columns.this count can also vary.SM,SR,SB are again values repeating for diff instrument.They are the values of the instrument on the particular dates.This is a snap shot of one feed.Other feeds may have the dates differing.How do i read this file.
Problem 1:If i skip the first row and unpivot the 2nd row,then with the new feed,with new dates my SSIS package will bomb as it will not find the col names.
Problem 2:IF i uncheck the "Use first row as column headers" then the problem 1 is solved but the o/p will be
20080101
20061102
20061103 1.2
1.3
1.2.
1.5
.....and so on..
IS there any other way to fix this.These are feeds with the spread values of instruments on particular dates.Please help.
RUN 2.01E+11 132238 0 45 INSTRID DATATYPES 20081101 20061102 20061103 Z03369 SM 1.1 1.2 1.3 Z03369 SB 1.3 1.3 1.7
I have a set of data in which i have a product number going through 6 stages and each stage has a date. Since the each stages are in columns, I have created a unpivot query to transpose the columns into rows.
The unpivot query is working fine however I am getting duplicate values in the result. For each productnumber there must be only 6 results however i am getting 24 rows for each product number due to duplication.
I have attached the code and the source data for reference
SELECT DISTINCT CASE WHEN t2.idNum IS NULL THEN t1.idNum ELSE t2.idNum END, CASE WHEN t2.FreqDt IS NULL THEN T1.FreqDt else t2.FreqDt END, CASE WHEN t2.freq is null then t1.freq else t2.freq end FROM @tmptbl as t1 LEFT JOIN @tmptbl as t2 ON t1.idNum = T2.idNum AND t1.FreqDt = t2.FreqDt AND t1.rn = (t2.rn-1)
After all this, I'm supposed to condense the result set to only include sequential frequency dates with unique frequencies.should look like below (this is where I'm stuck)
I'm trying to unpivot a table in SSIS: The pivoted table basically looks like
ID DATE1 TEXT1 DATE2 TEXT2
----------------------------------
ID1 D1 T1 D2 T2
...
The unpivoted result looks like
ID DATE TEXT
-------------------
ID1 D1 T1
ID1 D2 T2
€¦
It works, but the one problem I am facing is: If D1 IS NULL in the pivoted table then D1 in the unpivoted table contains some strange value that is neither NULL nor a valid datetime. In a data viewer I get the in the DATE field "Fehler: Die Parameter Year, Month and Day beschreiben eine nicht darstellbare Datetime." (i. e. "Error: The parameters Year, Month and Day form an invalid datetime."). The loading of the OLE DB target yields an error because the DATE value cannot be converted to a valid datetime.
I was reading Kenneth Fisher's and Dwain Camps' articles on unpivoting using cross apply... And I can actually get them to work....
CREATE TABLE #TxCycle( Cycle INT NOT NULL, PatientID INT NOT NULL, ALOPECIA TINYINT, Causality1 TINYINT, Relatedness1 TINYINT,
[Code] ....
The one thing I was wondering was this: how do I extract the symptom names from the field list without knowing them all beforehand? Dwain does this
-- DDL and sample data for UNPIVOT Example 2 CREATE TABLE #Suppliers (ID INT, Product VARCHAR(500) ,Supplier1 VARCHAR(500), Supplier2 VARCHAR(500), Supplier3 VARCHAR(500) ,City1 VARCHAR(500), City2 VARCHAR(500), City3 VARCHAR(500))
Can this be adapted if you don't know all the column names beforehand? (Likely not). Back in the dark ages, when I was working on a database like this, it was in Access, and I could loop over the fields collection and evaluate each field name. (Yes, I know you're not supposed to store information in field names, but I inherited that mess!)
