SSIS ignoring an Excel column completely - sql-server

I am developing a new system to pull down IT ticket reports from an external system, import them periodically to a SQL DB, run calculations on the values and export the results.
I am using SSIS to import the excel reports to the DB. But when I setup my Excel Source, it seems to be ignoring the last column of the worksheet. I can't figure out why. All the datatypes are correct, and the import is working for all the other columns.
Any help would be greatly appreciated!

If you could not find answer quickly, you could force the Excel connection manager to load data from which column to which column, try to locate open rowsetproperties in advanced properties window, for example, Sheet1$A1:Z will writes data to column A to column Z start from row #1 (regardless of the header)

Related

I am using dataset CIC-MalDroid-2020 with 50,621 columns csv file. To analyze I want to import it to wamp SQL Server

I am using CIC-MalDroid-2020 dataset with 50621 columns and want to import it into SQL Server. I tried to import it using server by default method. I have increased memory limit, upload size, execution time etc. I even enabled partial import feature but even after 5 hours of uploading not a single row has been imported.
I don't know what to do
I was trying this solution here
https://blog.netnerds.net/2015/01/powershell-high-performance-techniques-for-importing-csv-to-sql-server/
but in this solution table is supposed to be created manually and its impossible to write 50621 column names.
Please let me know about any software or any other solution if available.
Seems,SQL SERVER is not for this task
https://learn.microsoft.com/en-us/sql/sql-server/maximum-capacity-specifications-for-sql-server?view=sql-server-ver15
Columns per table 1,024 Tables that include sparse column sets include up to 30,000 columns.

SSIS Data Conversion - Update Multiple Rows

First SSIS experience so I'm willing to accept I'm doing things completely wrong here:
Using SSIS:
I'm importing from an Excel sheet
exporting to a client's SQL (SQL Server) database
The data has >250 columns
The Client's database rows are all various nvarchar lengths like 3,5,8, etc
I can assume that the excel data will fit into the database properly, so if I truncate I won't lose any data
What I think I have to do here is truncate the data using a "Data Conversion" transform. The problem I have is it's going to take me hours to do this in the "Data Conversion" editor window because I'm dealing with so many columns, when it would only take me a few minutes in a text editor.
Is there any way to bulk update the Data Conversion settings? Am I doing this the wrong way?
The solution I ended up with was:
- change the package to not fail on truncation.
- Once I did this I could get rid of the transform.
- in the database I created a staging table with the excel column names to import to so that I didn't have to manually match everything up in SSIS

Cannot export to a named Excel range using SSIS

I am developing a SSIS package which is retrieving data from database and exporting it into a pre-formatted Excel file. This is not the first time I am doing this, but this time it won't work and I can't find out why..
As you can see in attached image, SSIS exports data successfully but writes it in the bad cells, I specified the value "operateur$B14:F19" in the OpenRowset property of Excel destination in SSIS though..
In addition, I am getting an error which is saying:
Cannot Expand Named Range
How can I fix this?
SSIS is not right tool set to solve this type of scenario. Use SSRS.
But any way you can try below steps.
Populate required data in table and use micro or data connection to populate excel...

Best way to import large excel file into SQL Server

We are trying to devise an optimal method for importing very large Excel files into SQL database. Using SSIS is somewhat troublesome because it scans top X records to determine the format of the file, but rows further down may be different, so it takes a lot of trial and error, with us having to bring the unusual columns to the top so SSIS can "learn".
When we get new file formats to import, they conform to specification in terms of row formatting etc - so we can say we know the schema in advance. The SQL destination tables have the same schema, with couple of extra columns such as date inserted and original filename.
Is there an easier way to create format definitions for new files we are going to insert? We don't have to use SSIS, we are open to any other tool, with a view for as much automation as possible. There's a question of testing the sanity of data we will import, we were planning on doing basic queries against staging datasets such as "less than 1% of records can miss postal code" etc.
Many thanks
Maybe you can import data as text and after that you can convert that using Derived Column transformation. You can read data from Excel as Text using IMEX option in Connection String. More information about this parameter you can find here.

Find and log missing/wrong named columns in Excel using SSIS 2012

I am new to SSIS. I am using SSIS 2012 to transfer data from Excel(COZYROC Excel Source Plus component) to SQL server database(OLE DB Destination). My requirement is whenever columns in the excel are not matched with mapped columns or any columns are missing, I should log the error message in the database.
Please help to resolve this problem.
I don't believe that is possible.
SSIS (and SSRS and other applications) require a 'contract' between source and destination such that any changes to the source will throw a mapping error and force the developer to re-map the data flow.
SSIS is not capable of a scenario such as 'if the source columns change, pump the rest and log the changes to another path'.
This is also an example of why Excel makes a terrible data source for a normalized database/ETL project, because users can easily change the Excel doc in such a way that would break data mapping.
Good luck.

Resources