I am importing an excel file and grabbing data from it. In a handful of string columns, some rows have the value of #VALUE!. How would I filter these rows out in SSIS? I have tried checking for NULL values, as well as checking to see if that row's column is equal to #VALUE!
([ALT_TYPENAME] == "#VALUE!")
However, the rows pass right through and are not filtered at all. Is it even possible to filter for these? The columns are imported as DT_STR.
Ok, you need to change the order in your conditional split. First you are checking if ISNULL == True, then ISNULL == False.
One of those two conditions will always be true, so the row will be sent down that path, and the third condition ( == "#VALUE!") will never be evaluated.
Try evaluating your last condition first.
You can do this by using a Conditional Split transform in between your Excel source and your destination.
Create an object variable (I name mine Discard) and a Recordset Destination based on that variable. Set your Conditional Split's condition to Column == "#VALUE!" and direct anything that meets that criteria to the Recordset to discard it, while everything else follows the default path to your Destination.
If you need to discard based on multiple columns potentially containing "#VALUE!" just expand the condition to an OR that encompasses all of the columns.
An added benefit of this technique is you can use the Discard Recordset at the end of the job to create a fall out report if you need one.
Related
I am processing a flat file in SSIS and one of the requirements is that if a given row contains an incorrect number of delimiters, fail the row but continue processing the file.
My plan is to load the rows into a single column in SQL server, but during the load, I’d like to test each row during the data flow to see if it has the right number of delimiters, and add a derived column value to store the result of that comparison.
I’m thinking I could do that with a script task component, but I’m wondering if anyone has done that before and what would be the best method? If a script task component would be the way to go, how do I access the raw row with its delimiters inside the script task?
SOLUTION:
I ended up going with a modified version of Holder's answer as I found that TOKENCOUNT() will not count null values per this SO answer. When two delimiters are not separated by a value, it will result in an incorrect count (at least for my purposes).
I used the following expression instead:
LEN(EntireRow) - LEN(REPLACE(EntireRow, "|", ""))
This results in the correct count of delimiters in the row, regardless of whether there's a value in a given field or not.
My suggestion is to use Derrived Column to do your test
And then add a Conditional Split to decide if you want to insert the rows or not.
Something like this:
Use the TokenCount function in the Derrived Column box to get number of columns like this: TOKENCOUNT(EntireRow,"|")
In Excel, I'm attempting to loop through rows of data and return an array, based on an 'IF' statement checking values in one of the columns. When I use an IF checking for a single value, it produces what it's supposed to; when I use an IF-OR (shown below), looking to return all rows containing one of two values in the specified column, it doesn't work - instead, it returns all the rows. Any thoughts?
{=IF($A$5<>"",IFERROR(INDEX('Interface Catalogue'!$E$5:$E$333,SMALL(IF(OR('Interface Catalogue'!$H$5:$H$333="Core (Built)",'Interface Catalogue'!$H$5:$H$333="Core (To Be Built)"),ROW('Interface Catalogue'!$H$5:$H$333)-ROW('Interface Catalogue'!$H$5)+1),ROW(1:1))),""),"")}
Please try rewriting your IF statements like this:
IF($H$5 = "Core Built" Or $H$5 = "Core To Be Built")
This will evaluate to true if either condition is true.
I copy data from a SQL Server result set and paste it into an Excel spreadsheet. The NULL values need to appear as blanks in Excel, but the default behavior is to show the word, "NULL". For text fields, I can apply ISNULL([field],'') in the original query. But what about numeric fields? I don't want it to be 0, it needs to be blank. Is there a query based solution? I keep forgetting to do find and replace.
This is more of a comment but do to low rep, i'll post as an answer. Excel will not show a blank by default for a number value when pasted into the worksheet. It will interpret (correctly) a blank data point as 0. Since you are willing to find and replace 0s with null values, it seems this is for presentation purposes. If that is the case, I'd suggest conditional formatting. Set when the cell's value = 0 make the text white. if you are applying any mathematics to this column, the effect of a null cell or a 0 cell are the same, thus no impact to formulas/functions.
I am importing records from a flat file source to a SQL table which has 4 columns which do not accept NULL values. And what I would like to do is redirect the records which contain a NULL or blank value for the particular 4 fields to a flat file destination.
Below you can see the table configuration:
And here is a sample from my flat file source where I have blanked out the county_code in the first record, the UCN in the second record, and the action_id in the third.
If I run my package as it is currently configured, it errors out due to the constraints:
The column status returned was: "The value violated the integrity constraints for the column.".
So my question is how to I redirect these rows? I think I should do a conditional split, but I am not certain and further I don't know how I would configure that as well. My attempts have been futile so far.
Any suggestions?
Add a Derived Column Transformation after your Flat File Source. There you'll test whether the not nullable columns are null.
For ease of debugging, I would add a flag for each of those columns in question.
null_timestamp (ISNULL(timestamp) || LEN(RTRIM(timestamp)) == 0) ? true : false
An expression like this will determine whether the column from flat file is null or whether the trimmed length is zero.
Once you have your flags tested, then you'd add in a Conditional Split. The conditional split routes rows based on a boolean expression. I would add a Bad Data output to it and use an expression like
null_timestamp || null_country_code || null_etc
Because they are boolean, if we OR the values together if any of those were to be true, then the whole expression becomes true and rows are routed to the bad data path.
I would simply add a conditional split and name the Output accordingly:
Could you load the data to a temp table first, then using 2 separate queries against the temp table either insert to your table, or write out to flat file?
I want to search every rows of specific column and if it matches with the string that is stored in an array or list the condition is update the status column in the db.
Note: My code is reading from text file and writing to the db but when on comparison it doesnt works
if(textFileStrings.equals(dbtext))
pstmt.setInt(status,0);
prepareStatement.updateQuery();
try adding brackets, thus:
if(textFileStrings.equals(dbtext)) {
pstmt.setInt(status,0);
prepareStatement.updateQuery(); }