How Do I Call A Stored Procedure To Insert Data In SQL Server In SSIS Data Flow Task
Jan 29, 2008
I need to call a stored procedure to insert data into a table in SQL Server from SSIS data flow task.
I am currently trying to use OLe Db Destination, but I am not sure how to map inputs to OLE DB Destination to my stored procedure insert.
Thanks
I want to insert data calling a stored procedure and call this from a Data Flow destination object. Is it possible?
I understand that Ole Db Command transformation object can call stored procedure, but that will not rollback in the event of error in the middle.
I understand that Ole Db Destination object will rollback in middle of import, but I don't see how to do the insert by calling stored procedure. "Sql Command" option in Ole Db Destination object does not seem to present solution to the problem.
Am I missing something here or is Ssis / Microsoft demanding that Insert stored procedure not be used when using Data Flow destination object to insert data into target table?
I'm having a hard time to getting back an xml data back from a stored procedure executed by an Execute SQL task.
I'm passing in an XML data as a parameter and getting back resulting XML data as a parameter. The Execute SQL task is using ADO connection to do this job. The two parameters(in/out) are type of "string" and mapped as string.
When I execute the task, I get the following error message.
[Execute SQL Task] Error: Executing the query "dbo.PromissorPLEDataUpload" failed with the following error: "The incoming tabular data stream (TDS) remote procedure call (RPC) protocol stream is incorrect. Parameter 2 ("@LogXML"): Data type 0xE7 has an invalid data length or metadata length.". Possible failure reasons: Problems with the query, "ResultSet" property not set correctly, parameters not set correctly, or connection not established correctly.
I also tried mapping the parameter as XML type, but that didn't work either.
If anyone knows what's going on or how to fix this problem please let me know. All I want to do is save returning XML data in the parameter to a local package variable.
I have an SSIS Package which is designed to import log files. Basically, it loops through a directory, parses text from the log files, and dumps it to the database. The issue I'm having is not with the package reading the files, but when it attempts to write the information to the db. What I'm seeing is that it will hit a file, read 3000 some lines, convert them (using the Data Conversion component), and then "hang" when it tries to write it to the db.
I've run the SQL Server Profiler, and had originally thought that the issue had to do with the collation. I was seeing every char column with the word "collate" next to it. On the other hand, while looking at the Windows performance monitor, I see that the disk queue is maxed at 100% for about a minute after importing just one log file.
I'm not sure if this is due to the size of the db, and having to update a clustered index, or not.
The machine where this is all taking place has 2 arrays- both RAID 10. Each array is 600 GB, and consists of 8 disks. The SSIS package is being executed locally using BIDS.
I am trying to cleanly shutdown a dataflow task, which contains a script component, when RunningPackage.Stop() is called from the SSIS runtime.
I've been going in ever decreasing circles with no success - it looks like the cleanest way to find out whether RunningPackage.Stop() has been called is to call FireQueryCancel(). But I can't find any reference to anything useful in a dataflow task script component that gives me something that implements IDTSComponentEvents. The nearest thing seems to be Me.ComponentMetaData which gives a reference to IDTSComponentMetaData90, but this only has methods for calling FireError, FireInformation, FireProgress, FireWarning, and FireCustomEvent. But no FireQueryCancel.
Is there a way in a script component that I can find out the state of QueryCancel?
I am using SQL 2005 SSIS. I am joining several large tables and then the move result into another table in the same database.
I would like know which method is faster:
Use Execute SQL Task to insert the result set to the target table
Use the Data Flow Task to insert the result set to the target table. (Use OLE DB source to execute SQL command and then use the SQL destination) Could you tell me why then other is slower?
I have created an SSIS Package that takes data in an excel file and writes it to an Oracle Database. The excel file has 5 columns, but the database tabls has many additional columns. I would like to default some of these other columns for this job. For instance, I want to set the created and updated times to the time when the job ran, and set some other fields to values that will be consistent for every row in the job.
Hi, I'm trying to implement an incremental data pull (Oracle to SQL) based on Andy's blog: http://sqlblog.com/blogs/andy_leonard/archive/2007/07/09/ssis-design-pattern-incremental-loads.aspx
My development machine is decent: 1.86 GHz, Intel core 2 CPU, 3 GB of RAM. However it seems the data flow task gets hung whenever I test the package against the ~6 million row source, as can be seen from these screenshots. I have no memory limitations on the lookup transformation. After the rows have been cached nothing happens. Memory for the dtsdebug process hovers around 1.8 GB and it uses 1-6 percent of CPU resources continuously. I am not using fast load to insert new records into my sql target table. (I am right clicking Sequence Container 3 and executing this container NOT the entire package in the screenshots)
The same package works fine against a similar test table with 150k rows. http://i248.photobucket.com/albums/gg168/boston_sql92/7.jpg http://i248.photobucket.com/albums/gg168/boston_sql92/8.jpg
The weird thing is it only takes 24 minutes for a full refresh of the entire source table from Oracle to the SQL target table. Any hints,advice would be appreciated.
I had the SP, I want to call in Script Task , had the Result set data value then I need pop up message box. So how can I call stored procedure result in message box in ssis script task using C#.
and I want to use SSIS -OLEDB connection.
ConnectionManager cm; System.Data.SqlClient.SqlConnection sqlConn; System.Data.SqlClient.SqlCommand sqlComm; cm = Dts.Connections["OLE_TEST_"]; sqlConn = (System.Data.SqlClient.SqlConnection)cm.AcquireConnection(Dts.Transaction); sqlComm = new System.Data.SqlClient.SqlCommand("Exec dbo.sOp_xx_XXXe_VXX 280", sqlConn); sqlComm.ExecuteNonQuery();
I was working all day making changes to my 3MB package. I was adding a large number of transforms that were copied-and-pasted from elsewhere in the same data flow task.
All was going well. I even took the time to have SSIS lay out the task again (1/2 hour). Suddenly I started receiving some strange errors:
After the layout, I noticed two stray components 'way off in the upper right corner. I found that one of them had a duplicate name to a component which had been added hours ago. Even after deleting it, I got "duplicate name" errors.
I copied three components in one selection, and when I tried to paste them, got the error "can't initialize component on paste". I tried them one at a time, but got the same error.
I got errors about COM failures due to marshalling to another thread I then exited Visual Studio and started it again. To my great surprise, the data flow task I was working on was still there, but was completely empty.
Comparing what I'm left with to my last version in source control, I find that the entire pipeline element is missing from the DTS: ObjectData element!
I'm developing a real love/hate relationship with SSIS. It varies from one day to the next. Guess what kind of day this is!
The way I understand a Data Flow Task is that it inserts the rows from the source to destination one by one. Is there a way to make it act like a bulk insert task? We have been experiencing performance issues when inserting a lot of rows from one table to another. If there's no way to actually do it, can a bulk insert task functionality be scripted? Coz what I need is a table to table insert, and the bulk insert task only accepts data files as sources.
I am having some problems with the loading of tab delimited text file (source) to a SQL Server table (destination) using the SSIS data flow task. Package has been executed successfully with no error msg. The number of rows in the text file also matches the number of rows in the SQL table. But, when I check the content of the table, I noticed some of the columns contain NULL which supposed to have value. This happens not to all the rows but only to some rows. I did some testing by removing some rows from the beginning, middle and end of the text file and re-run the package but the result is quite inconsistent. Sometimes, the field got filled, but sometimes, it just contains NULL where it supposed to have value.
I am experiencing an error where the ssis data flow task would freeze and stop data export from a oledb source to a text file. It doesn't generate any errors the ssis package would just hang. This only happens when I run it in 64 bit mode. When I change the mode to 32 bit the ssis never freezes and runs fine. Has anyone experience this? Is there a fix so I can run my jobs in 64 bit mode?
I have a relatively simple SSIS package that I'm building for a data mining process. The package starts with an OLE DB data source, passes the results of a SQL Command (query) along to a conversion step, which then gets sent to a Term Lookup task. The Term Lookup then writes the result to an OLE DB Data Destination. Pretty simple. The OLE DB data source query returns about 80,000 rows if you run it through SQL WB. The SSIS editor shows 9,557 rows make it out of the source, and into the conversion step, 9,557 make it out of the conversion and into the lookup, and about 60,000 rows make it out of the lookup and are written to the results table. Then the package fails with the following errors listed on the progress screen. I was assuming that the 9,557 was some type of batching that was occurring in the process, but now I'm not so sure.
Thoughts?
Frank
[DTS.Pipeline] Error: The ProcessInput method on component "My Component" (117) failed with error code 0xC02090E5. 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. [DTS.Pipeline] Error: Thread "WorkThread0" has exited with error code 0xC02090E5. [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. [DTS.Pipeline] Error: Thread "WorkThread1" has exited with error code 0xC0047039. [My Data Source Error: The attempt to add a row to the Data Flow task buffer failed with error code 0xC0047020. [DTS.Pipeline] Error: The PrimeOutput method on component "My Component" (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. [DTS.Pipeline] Error: Thread "SourceThread0" has exited with error code 0xC0047038.
I have a package that loads staging tables from an Oracle source DB. In the data flow tab I have 30+ read table/write table task combinations. When I run the package 3-4 of the read/write combos execute at a time. What I'm trying to control is the priority order of the combo execution. My goal is to minimize to total load time by having the larger table transfers run first and the smaller table transfers fill in until they are all complete. Currently, the largest table (16 million) transfers last (because it was the last combo that I created?).
I am creating a staging database in which I am loading required tables from 2 different sources. I have 30 different tables to load from source 1 and 10 different tables from source 2. This is the way I am doing, in Control flow task I am using Sequence container and in that I included the data flow task, the data flow task has source OLD DB connection from where I select the table and then destination OLE DB connection where I load the data. So for 30 tables I have one Sequence container with 30 different data flow task and each data flow task has OLE DB source and OLD DB destination. I wanted to find out if this is the efficient way to do, or if there is any other way to do this. And for source 2 shall I put in another package or shall I use the same package with different sequence container and follow the same steps as for Source 1 tables. Please advice. Thanks,
I want to export data from SQL Server2005 to an Excel spreadsheet thru "Data Flow Task". I am using OLE DB for SQL Server for the source connection and a Connection To Excel as my destination source. The Excel spreadsheet (2003) exists and has the first row with column names. I don't have any warnings before trying to execute.
While executing the tasks, I got the error Error: 0xC0202025 at Data Flow Task, Excel Destination [427]: Cannot create an OLE DB accessor. Verify that the column metadata is valid. Error: 0xC004701A at Data Flow Task, DTS.Pipeline: component "Excel Destination" (427) failed the pre-execute phase and returned error code 0xC0202025.
After analysing I found in the DataFlow --> Excel destination --> Advanced Editor for Excel Destination, the default data type for txtRemarks shows as "Unicode string [DT_WSTR]". But this is supposed to be "Unicode text stream [DT_NTEXT]". Even if I change the data type in the design time, It doesn't accept.
I need to extract data to send to an external agency in their supplied format. The data is normalised in our system in a one to many relationship. The external agency needs it denormalised.
In our system, the parent p has p_id, p_attribute_1, p_attribute_2, p_attribute_3 and the child has c_id, c_attribute_a, c_attribute_b, c_parent_id_fk
The external agency can only use a delimited file looking like
where n is the number of children a parent may have. Each parent can have 0 or more children - typically between 1 and 20.
How can I achieve this using SSIS? In the past I have used custom built VB apps with the ADO SHAPE command but this is not ideal as I have to rebuild each time to alter the selection criteria and and VB is not a good SQL tool.
I met a problem when trying to pass values to a SQL statement through parameters. It's a data flow task. I used the OLE DB connection. My statement is like the statement below(the real statement is little complex):
Select * from myTable where mydate>? and mydate<?
I used the "set query parameter" dialogbox to bulid two parameters varStartTime and varEndTime, the values for the two parameters were set to "1/1/2005" and "12/30/2006" respectively. But when I click the "Parse query" button, I got errors
Parameter Information cannot be derived from SQL statements. Set parameter information before preparing command.
I have referred to the posts, but the problem still exists. Any help will be highly appreciated. Thanks a lot!
Hi All, I have a requirement here to import data from XML file to SQL Database. The XML schema contains of various elements and one of the element is recursive ie. Parameter node contains parameter node within it and it can have n number of iterations. I have given the sample schema below:
But all the nodes contain the data which has to be imported to a single table dbo.Parameters. I cannot use Union ALL since i dont know how many iterations I will have in the file. Is there any way to do this operation in Data Flow Task using XML Source? Can anyone help me on this?
I'm importing a large csv file two different ways - one with Bulk Import Task and the other way with the Data Flow Task (flat file source -> OLE DB destination).
With the Bulk Import Task I'm putting all the csv rows in one column. With the Data Flow Task I'm mapping each csv value to it's own column in the SQL table.
I used two different flat file sources and got the following:
I get the following error when trying to import (have tried flat files, Excel & Access). I've searched but have not found a resolution. Any help is appreciated.
Jeff
Validating (Error)
Messages
Error 0xc00470b6: Data Flow Task: The LocaleID 0 is not installed on this system. (SQL Server Import and Export Wizard)
Error 0xc004706b: Data Flow Task: "component "Source - Test1" (1)" failed validation and returned validation status "VS_ISBROKEN". (SQL Server Import and Export Wizard)
Error 0xc004700c: Data Flow Task: One or more component failed validation. (SQL Server Import and Export Wizard)
Error 0xc0024107: Data Flow Task: There were errors during task validation. (SQL Server Import and Export Wizard)
In my SSIS Data Flow Task, I have a query that retrieves data based on a couple of date parameters. Is there a way we can pass/use the Variables defined in the SSIS package in the query ?
(I am assigning values to those variables from C# code)
The query should look like this:
select ordernumber, customerid from salesorder
where statecode=3 and datefulfilled between @variable1 and @variable2
I have a flat file which is loaded into the database on a daily basis. The file contains rows of strings which I load into a table, specifically to a column of length 8000.
The string has a length of 690, but the format is like 'xxxxxx xx xx..' and so on, where 'xxxx' represents data. So there are spaces, etc present in the middle.
Previously I used SQL 2000 DTS to load the files in, and it was just a Column Transformation with the Col001 from the text file loading straight to my table column. After the load, if I select len(col) it gives me 750 for all rows.
Once I started to migrate this to SSIS, I allocated the Control Flow Task and specified the flat file source and the oledb destination, and gave the output column a type of String and output column width of 8000. But when I run the data flow task it copies only 181 or 231 characters out of the 750 required. I feel it stops where it finds the SPACES and skips the rest.
I specified row delimiters or CR, and LF. I checked the file under UltraEdit and there were no special characters in the file that would cause the problem.
Any suggestions how I can get it to load the full data?
I have huge data and i am loading data from EXCEL to database table, after loading 80 percent data i am getting some error. My package got failed and it has lots of transformation and took around 6 hours to process completely because of that i don't want it to reload from start. if i run it again it should start from next record from where i got the error.
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 ]
I'm currently looking into SSIS, to establish whether or not it can improve on an existing stored procedure.
We have a sp that performs standard ELT functions: it extracts new (or newly updated) data out of A, transforms it, and then loads it into B. It runs as part of a scheduled job and takes approx 60 seconds to complete. Fine. But we want it to go faster, and this is where (we hope) SSIS comes in...
I'm approaching this area of SQL Server 2005 for the first time, and have been looking towards the data flow task and its transformations to provide such an equivalent, faster solution. Before I continue down this road however, I would welcome some peer feedback/comment on whether SSIS - and its data flow transformations - are indeed the best tools to leverage when looking to accomplish such an ELT function, and quickly.
I guess the fundamental question here is: 'Why transforms over script?' I am reading Brian Knight's book, and I'd like to quote a few passages:
'...the nicest thing about transforms in SSIS is that it is all done in-memory and it no longer requires elaborate scripting as in SQL Server 2000 DTS...'
I guess this means that it doesn't need to be complied/interpreted, which I suppose all DML does?
'...one of the overriding themes of SSIS is that you shouldn't have to write any code to create your transformation...'
Is this because writing code is considered a more complex task than creating + configuring a transformation, or is it (at least in part) because a transformation is necessarily going to be quicker than its DML equivalent?
Hope some of you guys can respond with some interesting thoughts.
Hi I have asp.net page with approx 28 dropdowns. I need to insert these records using one stored procedure call. How can I do this while not sacrificing performance?