What the best way to check the column (in DerivedColum component) is NULL.
If NULL => log error
else continue with data flow.
Regards
Place conditional split transformation before or after derived column transformation to remove rows with NULLs.
OR:
Create a Dummy variable with value -1.
In the derived column use something like ISNULL(myCol) ? (DT_I4)SQRT(#[User::Dummy]) : myCol
Configure error output to redirect row on error.
Connect error output to a flat-file destination.
Note:
SQRT(-1) in the step 2 raises error.
Make sure that type-cast in step 2 matches myCol type; I have used DT_I4.
This might help you partially.
Flowing the derived column control into a condional split control. To flow only non-nulls create a condition
!(ISNULL(COLUMN_NAME))
Then connect the conditional split back to your standard flow. This will flow the correct instances as your require.
The thing I can't quite figure out is the logging of this error. Maybe try creating a second condition:
(ISNULL(COLUMN_NAME))
And flow that into some dataflow task that will cause an error to be raised, not really elegant though. Or you could try flowing into another derived column that uses values in the row to form an output to some log file.
Related
I am developing a PDI transformation, which takes data from a MySql database, and output the data into an MSSQL table. But before output, I add a deletion step to delete records in dest. table with same key field values. But I do not know why that by this setting the transformation always fails casting exception of connection timeout of data source.
But, after I added a "Block" step between "table input" and "Delete", the issue got gone, and the transformation got successfully finished.
My configuration and exception message are as blow:
Transformation setting and system exception message
Data Input SQL, and Delete condition
Error what I see from the screen-shot you attached and also recommendation in the 4th error line from top "consider raising value of 'net_write_timeout' on the server"
Default value will be 60, Kindly increase the value for the same.
Follow below document for more reference.
https://wiki.pentaho.com/display/EAI/MySQL
I'm trying to load some JSON from a REST API (using Neo4j 3.0.4 & APOC apoc-3.0.4.1-all) that has null values in it. This is throwing up this error:
"Cannot merge node using null property value"
The nulls can be spread across multiple keys and it varies which keys have null values. Hence I'd prefer to avoid specifying which individual keys to handle nulls for if possible.
I found the apoc.map.clean(map,[keys],[values]) procedure but not much info on how to use it. Is this the best procedure to use this for every key or is there an simpler way?
Thanks!
Thanks stdob - I managed to find another post you had written which helped me to understand solution. I need to substitute the first property for one that was never null.
MERGE (label:Label{key2: json.key2}) ON CREATE
SET label.key3 = json.key3, label.key1 = json.key1
I am a bit new to SSIS and given a task to send mail to particular stores based on Purchase Orders -> PONumber.
The steps should be as follows:
1)Take a XML file from a particular folder
2)Get the PONumber from that file
3)Write a query to fetch all the store email addresses for PONumbers
4)Send a mail to particular restaurant
Below screenshot is a package I had created. The only thing I am getting an issue is the Execute SQL Task , not sure what is the exact cause?
Could you please help on how can I debug this ? This was working fine before, but suddenly it started showing errors.
IMAGE1
IMAGE5
Execute SQL task is expecting results from the query, but is not getting any. Maybe you could use SQL Server profiler to catch exact SQL that is executed on SQL Server. Then you can use that SQL in query window to troubleshoot what it returns or why it is not not giving any results.
Edit.
With your current additional information interesting place is "parameter mapping" page, which you did not include. You should link SSIS variable to query parameter in there as Matt explained. SSIS does NOT link your variables in SSIS and query automatically even if they have the same names.
#dvlpr is correct your problem is you are getting NO results when Execute SQL Task 1 needs a single result.
The code you pasted is a little unclear as to which code is where but I will assume the first part is the code you use in SSIS Execute Task and the latter is an example in SSMS. If that is the case the problem is you are assigning the variable with a value of 0 in the script itself which I assume there is no PONUMBER that is 0:
Declare #POID as Varchar(50)
Set #POID = 0
WHERE (BizTalk_POA_HEADER.PONUMBER = #POID)
If you want to pass in the PONUMBER from your first dataflow task you need to load that to a variable and then use the variable in your Execute SQL task and made sure you setup parameter mapping correctly when doing so. here is one SO question on parameters that will help How to pass variable as a parameter in Execute SQL Task SSIS? And here is use of an expression task in a Data Flow task to set the variables value SSIS set result set from data flow to variable (note use the non-accepted answer that it was added later and was for 2012+ while the original was for 2008)
Next unless you are guaranteed only 1 result you will also need to add TOP 1 to your select statement because if you get more than 1 result you will get a different error again.
EDIT Per all of the comments:
So the configuration looks like you are using an ADO.NET connection which allows you to use named paramaters. There are restrictions if you don use that (https://msdn.microsoft.com/en-us/library/cc280502.aspx). The parameter mapping looks correct, and the result set should be fine. As far as your Error I don't know because you haven't posted the exact error so I cannot know what is the problem. If you use ADO.Net with your current Execute SQL Task configuration in the images you do have a couple of problems. 1 you are trying to declare the variable that you want to pass as a parameter that doesn't work, you need to remove that DECLARE statement. I suspect all you really need to do is modify your SQL Input to be:
SELECT DISTINCT BizTalk_POA_HEADER.PONUMBER, FAN_Suppliers.SupplierName,
FAN_Company_Details.CompanyName, FAN_Company_Details.[PrimaryEmail],
BizTalk_POA_HEADER.[DeliveryDate]
FROM BizTalk_POA_HEADER INNER JOIN
FAN_PO_Details ON BizTalk_POA_HEADER.PONUMBER =
CONCAT('PO',FAN_PO_Details.PoNumber) INNER JOIN
FAN_PO ON FAN_PO_Details.PurchaseOrderID = FAN_PO.PurchaseOrderID
INNER JOIN FAN_SupplierDetails ON FAN_PO.SupplierDetailsID =
FAN_SupplierDetails.SuppliersDetailsID INNER JOIN
FAN_Suppliers ON FAN_SupplierDetails.SupplierID = FAN_Suppliers.SupplierID
INNER JOIN FAN_Company_Details ON FAN_PO.CompanyID =
FAN_Company_Details.CompanyDetailsID
WHERE (BizTalk_POA_HEADER.PONUMBER = #POID)
Just get rid of the declare #POID and SET = 0 for a couple of reasons 1 because it is redundant when you have setup parameter mapping, 2 SSIS doesn't like it and will throw an error, 3 because you are setting a value of 0 to it which means it would always be 0.....
Assuming that all values of MBR_DTH_DT evaluate to a Date data type other than the value '00000000', could the following UPDATE SQL fail when running on multiple processors if the CAST were performed before the filter by racing threads?
UPDATE a
SET a.[MBR_DTH_DT] = cast(a.[MBR_DTH_DT] as date)
FROM [IPDP_MEMBER_DEMOGRAPHIC_DECBR] a
WHERE a.[MBR_DTH_DT] <> '00000000'
I am trying to find the source of the following error
Error: 2014-01-30 04:42:47.67
Code: 0xC002F210
Source: Execute csp_load_ipdp_member_demographic Execute SQL Task
Description: Executing the query "exec dbo.csp_load_ipdp_member_demographic" failed with the following error: "Conversion failed when converting date and/or time from character string.". Possible failure reasons: Problems with the query, "ResultSet" property not set correctly, parameters not set correctly, or connection not established correctly.
End Error
It could be another UPDATE or INSERT query, but the otehrs in question appear to have data that is proeprly typed from what I see,, so I am left onbly with the above.
No, it simply sounds like you have bad data in the MBR_DTH_DT column, which is VARCHAR but should be a date (once you clean out the bad data).
You can identify those rows using:
SELECT MBR_DTH_DT
FROM dbo.IPDP_MEMBER_DEMOGRAPHIC_DECBR
WHERE ISDATE(MBR_DTH_DT) = 0;
Now, you may only get rows that happen to match the where clause you're using to filter (e.g. MBR_DTH_DT = '00000000').
This has nothing to do with multiple processors, race conditions, etc. It's just that SQL Server can try to perform the cast before it applies the filter.
Randy suggests adding an additional clause, but this is not enough, because the CAST can still happen before any/all filters. You usually work around this by something like this (though it makes absolutely no sense in your case, when everything is the same column):
UPDATE dbo.IPDP_MEMBER_DEMOGRAPHIC_DECBR
SET MBR_DTH_DT = CASE
WHEN ISDATE(MBR_DTH_DT) = 1 THEN CAST(MBR_DTH_DT AS DATE)
ELSE MBR_DTH_DT END
WHERE MBR_DTH_DT <> '00000000';
(I'm not sure why in the question you're using UPDATE alias FROM table AS alias syntax; with a single-table update, this only serves to make the syntax more convoluted.)
However, in this case, this does you absolutely no good; since the target column is a string, you're just trying to convert a string to a date and back to a string again.
The real solution: stop using strings to store dates, and stop using token strings like '00000000' to denote that a date isn't available. Either use a dimension table for your dates or just live with NULL already.
Not likely. Even with multiple processors, there is no guarantee the query will processed in parallel.
Why not try something like this, assuming you're using SQL Server 2012. Even if you're not, you could write a UDF to validate a date like this.
UPDATE a
SET a.[MBR_DTH_DT] = cast(a.[MBR_DTH_DT] as date)
FROM [IPDP_MEMBER_DEMOGRAPHIC_DECBR] a
WHERE a.[MBR_DTH_DT] <> '00000000' And IsDate(MBR_DTH_DT) = 1
Most likely you have bad data are are not aware of it.
Whoops, just checked. IsDate has been available since SQL 2005. So try using it.
I've created an SSIS package that executes inline SQL queries from our database and is supposed to output the contents to a text file. I originally had the text file comma delimited, but changed to pipe delimted after researching the error further. I also did a substring of the FirstName field and ensure that the SSIS placeholder fields matched in length. The error message is as follows:
[Customers Flat File [196]] Error: Data conversion failed. The data conversion for
column "FirstName" returned status value 4 and status text "Text was truncated or one or more
characters had no match in the target code page.".
The SQL statement I'm using in my OLE DB Source is as follows:
SELECT
dbo.Customer.Email, SUBSTRING(dbo.Customer.FirstName, 1, 100) AS FirstName,
dbo.Customer.LastName, dbo.Customer.Gender,
dbo.Customer.DateOfBirth, dbo.Address.Zip, dbo.Customer.CustomerID, dbo.Customer.IsRegistered
FROM
dbo.Customer INNER JOIN
dbo.Address ON dbo.Customer.CustomerID = dbo.Address.CustomerID
What other fixes should I put in place to ensure the package runs without error?
Have you tried to run this query in SSMS? If so, did you get a successful result?
If you havent tried it yet, paste this query in a new SSMS window and wait for it to complete.
If the Query completes, then we dont have a problem with the query. Something could be off inside the package.
But if the query does not finish up and fails, you know where to look.
EDIT
On second thoughts, is your Customer source a flat file or something? It looks like there is a value in the Customer table/file which does not match with the output metadata of the source. Check your source again.