Task : Need to export 1.1 million records to a csv file
I loaded it via SSIS Dataflow.
As you can see there are 1,100,800 rows that is loaded from a table(Source) to the FlatFile location which is a CSV file.
My FlatFile destination Source filename is Test.csv
Now when i open the csv file i get the error
"file not loaded completely"
Now when i see the record at the very end of my csv file .Sorry cannot attache the csv file due to data integrity.
So i only see record till 1048578 but the row i loaded was 1,100880 so there are some missing rows and i cannot add them manually as well . See the end of the csv it does not let me type to the next row.
Any idea why?
As for workaround i loaded in to seperate csv file 1 million in 1 csv and rest in others.
But i really wanna know why it is doing this.
Thank you in advance for looking at this.
It's Excel's fault. It only supports 1,048,576 rows.
https://support.office.com/en-us/article/excel-specifications-and-limits-1672b34d-7043-467e-8e27-269d656771c3
The error you're getting is because you're trying to open a .csv with more than the acceptable number of rows. Try opening the file in a different app, like Notepad++.
Related
Might be going about this completely the wrong way - happy to be shown the error of my ways.
In a nutshell, I've got 50-odd files of mixed types (csv and excel) that I want to import (each file to its own table) to an SQL database.
In the control flow I've got an sql task that returns:
The source data filename
The source data filetype (csv / xlsx)
What I want to name the table to import to.
This object gets passed to a Foreach loop that loops through this object and puts these 3 fields into variables.
I want to then say "if the filetype variable is csv, go and do a flat file import. If it's .xlsx, go and do an excel import"
So inside my for each container I've got a dataflow task.
I want the first thing the dataflow task does to check the filetype variable, and then do the appropriate import.
I think it's got to be in the dataflow, because there isn't an "If" style control I can see in the control flow?
But I'm at a loss as to how I pass a variable into the conditional split.
Any thoughts welcome.
OR! - just had a thought. Is the best way to do this to get a list of all the csv file types, process them in a dataflow, then get a list of all the .xlsx ones and process them - so I'd have:
Get csv filenames & tablenames
for each to loop through these
dataflow to import data from csv
get xlsx filenames and tablenames
for each through these
dataflow to import data from xlsx.
Just doesn't seem as elegant?
Cheers
I am trying to do a VLOOKUP query into an Excel file (File 1) with about 500,000 rows from another csv file (File 2) that has about 4.5 million rows. This second file is too large to fully load in Excel, and so I am unsure how to proceed.
I am attempting to import data from File 2 to File 1 based on matching the unique PointID identifier in Column B in both files. I also have File 2 in an Access database if that works better. I have tried indicating the 'table_array' index in File 1 without opening File 2, but am receiving an error message.
Is there a way I can iterate over File 2 like a VLOOKUP without opening it or receiving an error message?
If you've already got File 2 in Access I would import File 1 into Access as well. Make sure that File 1 has its PointID set as the Primary Key, then you should be able to use an Update query in Access to get the relevant values from File 2 into File 1. You would then export the updated File 1 data back to a new Excel file (if that's where you need it to be).
I can't think of an easy way to update the original File 1 directly. It doesn't work if you add File 1 as a linked table in Access because the data isn't updateable as far as I can tell (I did try this, but I am working on older copies of Excel/Access so maybe newer versions may allow it).
I'm really struggling with this one. Data services (v14.2.3.549) keeps flagging up an error saying "A column delimiter was seen after column number <80> for row number <1> in file " it says this for what looks like every row it processes.
I've used the same settings as all the last files I imported, which are also CSV files. The files are exported from a web front end as excel then saved as csv. I tried opening the file with excel, clearing empty columns after end of data, in case there was anything in them, and rerunning to no avail.
I don't really know what to look for in the file so can anyone help me find out what I should be looking for so I can map my way to the problem. It seems that this problem is throughout this collection of files, as if I try importing using wild card on end of file name it comes up with same errors in other files.
Many thanks
Andrew
I used "Adaptable Schema" set to "yes" in the file format definition to get around this error.
I am trying to use an automated macro to export a Ms-Access table to a csv file. I want the destination file to have a unique name, and I reckoned that using now()yyyymmddhhnn would be a good way to achieve this.
I have got transfer text working ok from my macro, and I have set up an export file spec for the transfer.
I am using ="C:\batchfile_" & Format(Now(),"yyyymmddhhnn") & ".csv" in the filename argument in the macro. This bit works.
But when I try to run the macro, it tells me that the filename doesn't exist and then the export doesn't complete. I am not sure why this is, but I think it is because the export file specification is expecting the destination file to have the same filename and column structure as the source table.
Does anyone know a way around this?
Eric
This is very old thread, I am posting my solution so that it may be usefull for some one else
transfer text works fine, as long as variables are supplied properly, you can check for other options other than filename, datasource alternatively create using file open statement
by opening text file and convert recordset data into CSV format.
I have a source folder which contains 4 csv files with different no of columns in each of the file. I need to fetch only 3 columns(metadata same this 3 columns in all the 4 files) from each csv and load the columns inside Raw Destination from all the files avaiable in source folder. And Raw destination Output file name has to be like wht the inputfilename we are fetching + time stamp.
And at next level, i need to fetch this output raw as raw source and insert this records into oledb destination . and the destination table also has to be in dynamic.
for example i have 4 csv files called, test1.csv(10 columns). test2.csv(8), test3.csv(6), test4.csv(10) along with time stamps.
all this 4 files has columns position_id, asofdate, sumassured in common, now i want to load only these 3 columns to raw destination. If i load test1.csv then my raw destination outputfile name has to be RW_test1_20120119_222222.RW. similalrly if i load second file its filename as raw destination output..
Thanks
Satish
As always, decompose your problems until you've got it into a something you can manage.
Processing CSVs via queries
Following the two questions and answers below will result in a package with an OLEDB Connection Manager configured to operate on CSVs in the folder #[User::InputFolder]. 3 variables CurrentFileName, InputFolder and Query have been defined with an expression set on Query.
The expression for your #[User::Query] would look like "SELECT position_id, asofdate, sumassured FROM " + #[User::CurrentFileName]
Reference answers
SSIS FlatFile Acces via Jet
SSIS Task for inconsistent column count import?
At this point, your package should resemble the center piece below. Verify you can correctly enumerate all of the CSVs in the folder and the OLEDB query piece works.
RAW files
I'm not an expert on RAW file usage so there may be better ways of interacting with them. This will use the fourth variable, RawFileName. Set an expression on it like #[User::InputFolder] + "RawFile.raw" which would result in the file being written to C:\ssisdata\so\satishkumar\RawFile.raw
My general approach is to have a dataflow with a script task that sends no rows into a RAW File Destination.
Configure your destination as
Access mode: File name from variable
Variable name: User::RawFileName
Write option: Create Always
Process CSVs
The concept here is to append all the data into the RAW file that was created in the initial step.
Your source should already be configured as
OLE DB connection manager: FlatFile
Data access mode: SQL command from variable
Variable name: User::Query
Configure your destination as
Access mode: File name from variable
Variable name: User::RawFileName
Write option: Append
Extract from RAW
At this point, the foreach enumerator has completed and all the data has been loaded into the staging file. Now it is time to consume that and send data on to the destination.
Drag a Raw File Source Transformation onto your data flow. Unsurprisingly, you will configure as
Access mode: File name from variable
Variable name: User::RawFileName
Instead of Simulate destination, wire it up to the correct data destination.
Caveat
Be careful when using an expression with GETDATE/GETUTCDATE to define filenames as they are constantly evaluated. In 2005, we had used FileName_HHMMSS and had issues because processing didn't complete in the same second between the creation of a file and the next task that consumed the file. Instead, I have had better success using a dynamic but fixed starting point and generally, that is the system variable, StartTime #[System::StartTime]
You can use ForEach Loop Container on the Control Flow Diagram to iterate txt and csv files.