We are trying to use the Import/export wizard to load a text file to a SQL Server 2005 database. The input file has a variable number of columns per row. For example, the first row has 3 columns, the second has 7, the third has 3, etc. The number of columns varies from 2 to 9 in the input file. The columns are separated by an uptick (`) and the rows are terminated by {CR}{LF}. We are using code page 1252. On processing, the wizard reads the first row (with 3 columns) ok, but then assumes all the other rows have 3 columns and parses the rows accordingly, ignoring the field and row terminators.
The process worked fine with SQL Server 2000. Is there some setting that we are missing, or some configuration on the database that we should be checking?
I'm using a Row Count Task to count the number of records passing thru a particular path in my data flow. I created a package variable and referenced this variable in the Components Properties tab in the Row Count Task. I believe this is the minimum I need to do to get the row count.
However, as I explore the other tabs in the editor, I see there is something called Input Columns tab. What is this for? I didn't select anything in there and things are working fine. At first I thought that I had to choose the columns that I want to have available to me for further processing after the Row Count Task, but this isn't the case. I am able to see all my columns coming out of the Row Count Task even tho I didn't do anything in the Input Columns tab.
I am trying to get a table from production to development created and populated with data in Prod. When I create a package to set the data flow on the available input columns in mappings I do not see any columns there. The source has been defined as the production table.
I have an SSIS Package. I am using script component to loop through input columns and their values. I am not able to do Null checking. The code is as below. In place of dashes , I want to do null checking but am not able to do. I tried vbNull, IsNull, TypeOf, System.dbNull but nothing is working. I guess am missing something here. Can anyone help me with this.
For Each column In Me.ComponentMetaData.InputCollection(0).InputColumnCollection
Is there by chance a cunning way to make the input columns automatically populate the output of an asynchronous script transformation?
My transformation writes several rows for each input row read. I'm creating some new columns along the way but I'd like all of the input columns to get output each time also. However I can't see any obvious way to achieve this, short of manually defining each column to the output and populating it in the script.
I have set up a script task in one of my packages that I have set up to modify another package right before running it. This package is nothing more than a data flow task that transfers rows via an sql command from one table into another. The strange thing is I have gotten it to work with some tables but not with others. T
he script bombs out in the loop where i map all of the columns found below, where i use MapInputColumn with the error HRESULT: 0xC0010009 On Microsoft.SqlServer.Dts.Pipeline.Wrapper.IDTSExternalMetadataColumnCollection90.get_Item(Object Index)
The thing is this happens after looping roughly 55 times but there are still about 100 columns that it needs to loop through still.
Code Block
Dim input As IDTSInput90 = data_destination.InputCollection(0) Dim virtual_input As IDTSVirtualInput90 = input.GetVirtualInput Dim input_column As IDTSInputColumn90 Dim virtual_column As IDTSVirtualInputColumn90
' Iterate through the virtual input column collection and map field names For Each virtual_column In virtual_input.VirtualInputColumnCollection input_column = inst_data_destination.SetUsageType(input.ID, virtual_input, virtual_column.LineageID, DTSUsageType.UT_READONLY)
inst_data_destination.MapInputColumn(input.ID, input_column.ID, input.ExternalMetadataColumnCollection.FindObjectByID(virtual_column.Name).ID) Next
Just for kicks i removed the mapping portion of the code and left in the SetUsageType to see if it would update the available input columns in the destination. The script will then finish successfully but still only the 55 or so fields out of 155 are available in the input. So i then stepped through the script with the mapping portion still disabled and after it loops successfully, i call reinitialize meta data and it produces an error in the input_column variable: HRESULT: 0xC0047041.
I find it odd that this still reports to me that the script finished successfully and I also find it odd that this works fine on two other tables I've tested but not this one. Any insight would be greatly appreciated.
I got a strange problem with SQL Server 2005 data mining models though. I have selected the input columns for my mining model (which are different from the input columns for its mining structure, since I ignored some of the columns for the selected model). But the mining model still used all input columns from the mining structure rather than those I chose for the mining model.
Would please any one here give me any guidance and advices for that. Really need help for that.
In a SSIS Data flow task, whatever you are doing with the input columns that come from a Data source like a Flat File Source, these columns are always visible and available as input columns for all Transformation and Destination components in the Data flow.
Our Custom Component is a column mapping component that transforms many input columns into many oputput columns and we would like that the used input columns are not available anymore to the downstream components...
Is that possible?
I saw that with the Unpivot component it is possible to make some input columns unavailable to downstream components...So I think there is a way to do the same in a custom component...
I am building an SSIS package that loops through a table in SQL Server and dynamically builds a select statement that i would like to use as an ole db source. I have been having a difficult time with this as the select statement that i am generating is over 200,000 characters long so using an sql variable is out of the question.
I ended up placing the select statement into a table where each row of the table represents a piece of the select. I then use an execute_sql task that selects the entire rowset from this table into a variable object. I then use a for each loop to shred the variable and concatenate it into on big string variable called user:: sql_statement that is my select.
After setting up the loop and testing to see if the user:: sql_statement variable populates correctly i then added a data flow transfer with an ole db source and destination. I then go into the advanced editor for the source and set it to accept an sql statement from a variable and use my user:: sql_statement variable. I was forced to set validate external metadata option to false to avoid an error since there is no way to validate the columns until the for each loop runs during run time.
Now thats all fine and good but what is causing my problem is that during run time, when the package gets to the data flow task, the select statement doesn't seem to be populating the input columns of the data source. I have been searching to no avail on a way to tell the data source to update the input columns but every time it gets there, the package bombs out telling me the ole db source has no available output columns.
Specifically the error i get is : [DTS.Pipeline] Error: "output "OLE DB Source Output" (6616)" contains no output columns. An asynchronous output must contain output columns.
i want to write a stored procedure where i pass column names a parameters and i want to get result based on that For ex:- if i pass the parameters as col3 and col5 where id =1 then i should the result as
id col3 col4 col5 1 3 4 5
and if i pass input as col2and col6 where id =3, the result should be id col2 col3 col4 col5 col6 3 4 8 2 6 9
I'm trying write a reusable script component that takes data from rows that were rejected from a SQL Destination operation and put them into a common SQL error table.
This script would basically function to take the input columns selected in the script, and build a delimited string, (similar to the 'Flat File Source Error Output' that is contains redirected rows from reading a flat file) and insert this string into a SQL table called 'SourceData' to store errors.
I'm trying to script the component to iterate through all input columns (as selected in the input columns screen) and build a simple string.
Code Block Public Overrides Sub Input0_ProcessInputRow(ByVal Row As Input0Buffer) 'Use the incoming error number as a parameter to GetErrorDescription Row.ErrorDescription = ComponentMetaData.GetErrorDescription(Row.ErrorCode) Try
Row.ErrorColumnName = ComponentMetaData.InputCollection(0).InputColumnCollection(Row.ErrorColumn).Name Catch ex As Exception
Row.ErrorColumnName = String.Concat("Column Name retrieval failure. Details", ex.Message) End Try ' 'Build input data ' Dim inData As String
For Each inputCol As IDTSInputColumn90 In ComponentMetaData.InputCollection(0).InputColumnCollection inData = String.Concat(inData, "~", inputCol.Name) 'I don't want the name, but the value. Next Row.SourceData = inData ' End Sub
I've only got as far as iterating the names of columns in the input buffer, but how do i get the values?
The result i'm trying to achieve is : Selected columns in 'Input Column' screen : Name, Address, Phone OutPut column 'SourceData' value : Harry~Melbourne~None
I want to run a loop for all the input columns in the script component. My requirement is, I have nearly 50 columns in the input columns list. For each row and for each column I need to do some operation. How Can I run a loop for each column. Please note in the script component I need to get the column names in the middle for some operations. Please see below.
Process Each Input Row
For each column in Input column list .... .... If column.Name Starts with "Test" then set NULL to the column value .... .... End Loop
In SSIS I use the DQS Cleansing transformation component. I've got a knowledge base (KB) in place and this KB holds various domains and my data source has more input columns than would like to use for a particular clean up operation. I want to use some of the input columns to map against some domains in the KB. It is my understanding that it should be possible to select only the required input columns, but all i can do is select all input columns.
I'm trying to create a fairly simple custom transform component (because I've read that's the easiest one to create) which will take one column from a flat file source and based on the first row create the output columns. I'm actually trying to write a component that will solve the now well known problem with parsing CSV files in SSIS. I have a lot of source files and all have many columns so a component that can read in the first line from the CSV file and create the output columns automatically will save me lots of time when migrating the old DTS packages.
I have the basic component set up but I'm stuck when trying to override the OnInputPathAttached method because I don't know how to use the inputID to get the first line from the input (the buffer). Are there any good examples for creating output columns dynamically based on the input buffer? Should I just give up on on the transform and create a custom source component instead?
While recently working with several mining models, I came across something that struck me as pretty odd - and I'm hoping to find an explanation for the behavior.
Consider the following setup:
A single table in the relational database represents the only case table A single, continuous column is the predictable A mining structure has been created
The mining structure contains a single model, based on the MS Decision Trees algorithm Input columns were selected for the model via the BI Studio wizard (i.e., those provided via the "Suggest" button) The structure has been fully processed Now, the interesting parts:
I view the scatterplot for the mining model, under the Mining Accuracy Chart tab Back on the Mining Structure tab, I delete one of the input columns I add the same column back into the structure The structure is fully processed again When I view the scatterplot for the mining model, under the Mining Accuracy Chart tab, a different set of data points are presented for the model predictions A different set of decision trees under the Mining Model Viewer tab confirms thisHow could different patterns have been found this second time around, even though all of the input columns were the same (as well as the training cases)?
(Note: I encountered this situation while creating a new mining model that was identical to an existing one. Even though the models received the exact same inputs and training cases, they yielded different results. I was able to reproduce the behavior by using steps 1-6 above, though.)
Can someone provide some insight on this behavior, or some kind of explanation of what may be happening?
I need to loop the recordset returned from a ExecuteSQL task and transform each row using a Data Conversion task (or a Script Task).
I know how to loop the recordset returned by an ExecuteSQL task:
http://www.sqlis.com/59.aspx
I loop the returned recordset (which is mapped to a User variable of type System.Object) and assign the Variable Mappings in the ForEach Loop to different user variables which map to the Exec proc resultset (with names and data types).
I assume to now use these as the Available Input columns for the Data Conversion task, I drag a Data Flow task inside the For Each Loop container and double-click it, then add a Data Conversion task.
But the Input columns (which I entered in the Variable Mappings in the ForEach Loop containers) dont show up in the Available Input columns of the Data Conversion task.
How do I link the Variable Mappings in the ForEach Loop containers from the recordset returned by the Execute SQL Task to the Available Input columns of the Data Conversion task?
.......................
If this is not possible, and the advice is to use the OLEDB data flow as the input for the Data Conversion task (which is something I tried too), then the results from an OLEDB Command (using EXEC sp_myproc) are not mapped to the Available Input columns of the Data Conversion task either (as its not an explicit SQL Statement and the runtime results from a stored proc exection)
I would like to use the ExecuteSQL task to do this as the Package is clean and comprehensible. Which is the easiest best way to map the returned results from a Stored proc execution to the Available Input columns of any Data Flow transformation task for the transform operations I need to execute on each row of data?
[ Could not find any useful advice on this anywhere ]
Case: Exporting Report to PDF/Printing/TIFF Report: Contains 1 table with 19 Columns. 1 column is static, the other 18 are visible at the users descretion. Report when printed/exported to pdf spans 2 pages naturally, 16 on the first page, 3 on the second, and the column widths have been adjusted to provide a perfect page span .
User A elects to hide two of the columns, and show the rest. The report complies and the viewable version is perfect, the excel export is perfect.. the PDF export on the first page causes every fith column, starting with the last column that was hidden to be expanded to take up additional width. On the spanned page, it renders the first column on that page correctly, then there is a white space gap equal to the width of the hidden columns and then the rest of the cells show with the last column expanded to take up the same width that the original 2 columns were going to take up, plus its width.
We have tried several different settings to see if it helps this issue or makes it worse. So far cangrow/canshrink/keep together have made no impact. It is not possible to increase the page size due to limited page size selection availablility for the client. There are far too many combinations of what the user can elect to show or hide to put together different tables to show and hide on the same report to remove this effect.
Any help or suggestion on this issue would be appreciated
I have a business need to create a report by query data from a MS SQL 2008 database and display the result to the users on a web page. The report initially has 6 columns of data and 2 out of 6 have JSON data so the users request to have those 2 JSON columns parse into 15 additional columns (first JSON column has 8 key/value pairs and the second JSON column has 7 key/value pairs). Here what I have done so far:
I found a table value function (fnSplitJson2) from this link [URL]. Using this function I can parse a column of JSON data into a table. So when I use the function above against the first column (with JSON data) in my query (with CROSS APPLY) I got the right data back the but I got 8 additional rows of each of the row in my table. The reason for this side effect is because the function returned a table of 8 row (8 key/value pairs) for each json string data that it parsed.
1. First question: How do I modify my current query (see below) so that for each row in my table i got back one row with 19 columns.
SELECT A.ITEM1,A.ITEM2,A.ITEM3,A.ITEM4, B.* FROM PRODUCT A CROSS APPLY fnSplitJson2(A.ITEM5,NULL) B
If updated my query (see below) and call the function twice within the CROSS APPLY clause I got this error: "The multi-part identifier "A.ITEM6" could be be bound.
2. My second question: How to i get around this error?
SELECT A.ITEM1,A.ITEM2,A.ITEM3,A.ITEM4, B.*, C.* FROM PRODUCT A CROSS APPLY fnSplitJson2(A.ITEM5,NULL) B, fnSplitJson2(A.ITEM6,NULL) C
I am using Microsoft SQL Server 2008 R2 version. Windows 7 desktop.
I'd like to first figure out the count of how many rows are not the Current Edition have the following:
Second I'd like to be able to select the primary key of all the rows involved
Third I'd like to select all the primary keys of just the rows not in the current edition
Not really sure how to describe this without making a dataset
CREATE TABLE [Project].[TestTable1]( [TestTable1_pk] [int] IDENTITY(1,1) NOT NULL, [Source_ID] [int] NOT NULL, [Edition_fk] [int] NOT NULL, [Key1_fk] [int] NOT NULL, [Key2_fk] [int] NOT NULL,
[Code] .....
Group by fails me because I only want the groups where the Edition_fk don't match...
Here is My requirement, I'm not sure if this is possible. Creating table called master like col1, col2 col3, col4 , col5 ...Where Col1, col2 are updatable - this can be done easily
Col3, col4 are columns in another table but these can be just a read only ?? Is this possible ? this is possible with View but not friendly with share point CRUD...Col 5 is a computed column of col 2 and col5 ? if above step can be done then sure this can be done I guess.
I have query which retrieves multiple column vary from 5 to 15 based on input parameter passed.I am using table to map all this column.If column is not retrieved in the dataset(I am not talking abt Null data but column is completely missing) then I want to hide it in my report.
As I am creating the non-clustered indexes for the tables, I dont quite understand how dose it really matter to put the columns in the index key columns or put them into the included columns of the index?
I am really confused about that and I am looking forward to hearing from you and thank you very much again for your advices and help.
Here's another one of my bitchfest about stuff which annoy the *** out of me in SSIS (and no such problems in DTS):
Do you ever wonder how easy it was to set up text file to db transform in DTS - I had no problems at all. In SSIS - 1 spent half a day trying to figure out how to get proper column data types for text file - OF Course MS was brilliant enough to add "Suggest Types" feature to text file connection manager - BUT guess what - it sample ONLY 1000 rows - so I tried to change that number to 50000 and clicked ok - BUT ms changed it to 1000 without me noticing it - SO NO WONDER later on some of datatypes did not match. And boy what a fun it is to change the source columns after you have created a few transforms.
This s**hit just breaks... So a word about Derived Columns - pretty useful feature heh? ITs not f***ing useful if it DELETES SOME of the Code itself after there have been changes in dataflow. I cant say how pissed off im about that SSIS went ahead and deleted columns from flow & messed up derived columns just because the lineageIDs dont match.
Meta-data - it would be useful if you could change it and refresh it - im just sick and tired of it that it shows warnings and errors when there's nothing wrong - so after a change i need to doubleclick all my transforms so that those red & yellow boxes would disappear.
Oh and y I passionately dislike Derived columns - so you create new fields based on some data - you do some stuff - combine multiple columns to one, but you have no way saying remove the columns from the pipeline. Y you need it - well if you have 50K + rows with 30+ columns then its EXTRA useless memory overhead for your package.
Hopefully one day I will understand how SSIS works (not an ez task I say) - I might be able to spend more time on development and less time on my bitchfest - UNTIL then --> Another Day - Another Hassle with SSIS
Basically, I'm given a daily schedule on two separate rows for shift 1 and shift 2 for the same employee, I'm trying to align both shifts in one row as shown below in 'My desired results' section.
Sample Data:
;WITH SampleData ([ColumnA], [ColumnB], [ColumnC], [ColumnD]) AS ( SELECT 5060,'04/30/2015','05:30', '08:30' UNION ALL SELECT 5060, '04/30/2015','13:30', '15:30' UNION ALL SELECT 5060,'05/02/2015','05:30', '08:30' UNION ALL SELECT 5060, '05/02/2015','13:30', '15:30'
Hello,Using SQL Server 2000, I'm trying to put together a query that willtell me the following information about a view:The View NameThe names of the View's columnsThe names of the source tables used in the viewThe names of the columns that are used from the source tablesBorrowing code from the VIEW_COLUMN_USAGE view, I've got the codebelow, which gives me the View Name, Source Table Name, and SourceColumn Name. And I can easily enough get the View columns from thesyscolumns table. The problem is that I haven't figured out how tolink a source column name to a view column name. Any help would beappreciated.Garyselectv_obj.name as ViewName,t_obj.name as SourceTable,t_col.name as SourceColumnfromsysobjects t_obj,sysobjects v_obj,sysdepends dep,syscolumns t_colwherev_obj.xtype = 'V'and dep.id = v_obj.idand dep.depid = t_obj.idand t_obj.id = t_col.idand dep.depnumber = t_col.colidorder byv_obj.name,t_obj.name,t_col.name
I am working on a Statistical Reporting system where:
Data Repository: SQL Server 2005 Business Logic Tier: Views, User Defined Functions, Stored Procedures Data Access Tier: Stored Procedures Presentation Tier: Reporting ServicesThe end user will be able to slice & dice the data for the report by
different organizational hierarchies different number of layers within a hierarchy select a organization or select All of the organizations with the organizational hierarchy combinations of selection criteria, where this selection criteria is independent of each other, and also differeBelow is an example of 2 Organizational Hierarchies: Hierarchy 1
Country -> Work Group -> Project Team (Project Team within Work Group within Country) Hierarchy 2
Client -> Contract -> Project (Project within Contract within Client)Based on 2 different Hierarchies from above - here are a couple of use cases:
Country = "USA", Work Group = "Network Infrastructure", Project Team = all teams Country = "USA", Work Group = all work groups
How to implement the data interface (Stored Procs) to the Reports Implement the business logic to handle the different hierarchies & different number of levelsI did get help earlier in this forum for how to handle a parameter having a specific value or NULL value (to select "all") (WorkGroup = @argWorkGroup OR @argWorkGrop is NULL)
Any Ideas? Should I be doing this in SQL Statements or should I be looking to use Analysis Services.
I am planning to use transacational replication (instead of merge replication) on my SQL server 2000. My application is already live and is being used by real users.
How can I ensure that replicated data on different server would have exact same values of identity columns and date columns (where every I set default date to getdate())?
It is very important for me to have a mirror image of data (without using clustering servers).
Basically I need to get the SUM of the sum of three columns and all three columns have nulls. To make it more complicated, the result set must return the top 20 in order desc as well.
I keep facing different issues whether I try and use Coalesce, IsNull, Sum, count, anything. My query never returns anything but 0 or NULL regardless of if I am trying to build a CTE or just use a query.
So I'm using Col A to get the TOP 20 in order (which is fine) but also trying to add together the sums of Col A + Col B + Col C for each of the twenty rows...
