I have received a txt file with multiple headers with 2 different formats and data is separated by pipe. I am using visual studio. I have to skip the headers while loading into target table.
#Header1:sdate|actDate|Timzone|ID|SNO|EmpID|aID|Email|name|customerID|code|start|stop
#Header2:sdate,actDate,Timzone,ID,SNO,EmpID,aID,Email,name,customerID,code,start,stop
28122022|28122022|USA|21561||12345|2|fatera.dash#gmail.com|fatera, dash|1|Break|22:45|23:00
In the above Header1 and header2 have to kipped and data should be load into target table.
I have given a try as skip headers 2 but it is not working.
Can anyone provide me a guidance on this.
Regards,
Khatija
I have skipped by checking headers rows to skip as 3.
Related
I need to add a row data in a CSV file using Pentaho Data Integration.
I've tried with this transformation
This is my CSV file input configuration
and this is the CSV file output configuration (with the "append" check activated ...)
My constant definition
and this is my CSV file sample
I'd like to have this
Any suggestion will be appreciated!
You can use the Data grid step to create your constant data and the Append streams step to merge two streams into one in your desired order (data type in two streams must be matched and the same order) and then you can write the data to a CSV file. If you don't need a header present in the CSV file you can uncheck the "Header" option in the content tab
Let's say I have 100 scanned Tif files. I also have a CSV of the metadata for those 100 Tif files. Each file is named with its unique identifier, which is also column 1 of the csv.
First: How do I find a map that tells me what columns should be named what, in order to stay within the IPTC standard using XMP? (I've googled for most of the day and have found nothing)
Second: How can I merge the metadata in the CSV to each corresponding image?
I'm basically creating a spreadsheet with all 50,000 images in an archival collection, and plan to use the CSV to create the metadata for the images once they're scanned.
Thanks!
To know where to put your metadata, I'd suggest looking at the IPTC Photo Metadata Standard page. Without knowing more about your data, it's hard for someone else to say what data should go where.
As for embedding your data into your files from a CSV file, I'd suggest exiftool. Change the header of each column to the name of the TAG to write to and make the first column the path/filename of each file, your command would be as simple as
exiftool -csv=file.csv /path/to/files
See exiftool FAQ #26 for more details.
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++.
I have a tabular csv file that has seven columns and containing the following data:
ID,Gender,PatientPrefix,PatientFirstName,PatientLastName,PatientSuffix,PatientPrefName
2 ,M ,Mr ,Lawrence ,Harry , ,Larry
I am new to pentaho and I want to design a transformation that moves the data (values of the 7 columns) to an empty excel sheet. The excel sheet has different column names, but should carry the same data, as shown:
prefix_name,first_name,middle_name,last_name,maiden_name,suffix_name,Gender,ID
I tried to design a transformation using the following series of steps, but it gives me errors at the end that I could not interpret them.
What is the proper design to move the data from the csv file to the excel sheet in this case? Any ideas to solve this problem?
As #Brian.D.Myers mentioned in the comment you can use select values step. But here is how you do it step by step explanation.
Select all the fields from CSV file input step.
Configure the select values step as follows.
In the Content tab of Excel writer step click on Get fields button and fill the fields. Alternatively you can use Excel output step as well.
We have written a number of SSIS packages that import data from CSV files using the Flat File Source.
It now seems that after these packages are deployed into production, the providers of these files may deliver files where the column order of the files changes (Don't ask!). Currently if this happens, our packages will fail.
For example, an additional column is inserted at the beginning of each row. In this case, the flat file source continues to use the existing column order, which obviously has a detrimental effect on the transformation!
Eg. Using a trivial example, the original file has the following content :
OurReference,Client,Amount
235,MFI,20000.00
236,MS,30000.00
The output from the flat file source is :
OurReference Client Amount
235 ClientA 20000.00
236 ClientB 30000.00
Subsequently, the file delivered changes to :
OurReference,ClientReference,Client,Amount
235,A244,ClientA,20000.00
236,B222,ClientB,30000.00
When the existing unchanged package is run against this file, the output from the flat file source is :
OurReference Client Amount
235 A244 ClientA,20000.00
236 B222 ClientB,30000.00
Ideally, we would like to use a data source that will cope with this problem - ie which produces output based on the column names, instead of the column order.
Any suggestions would be welcomed!
Not that I know of.
A possibility to check for the problem in advance is to set up two different connection managers, one with a single flat row. This one can read the first row and tell if it's OK or not and abort.
If you want to do the work, you can take it a step further and make that flat one-field row the only connection manager, and use a script component in your flow to parse the row and assign to the columns you need later in the flow.
As far as I know, there is no way to dynamically add columns to the flow at runtime - so all the columns you need will need to be added to the script task output. Whether they can be found and get parsed from the each line is up to you. Any "new" (i.e. unanticipated) columns cannot be used. Columns which are missing you could default or throw an exception.
A final possibility is to use the SSIS object model to modify the package before running to alter the connection manager - or even to write the entire package dynamically using the object model based on an inspection of the input file. I have done quite a bit of package generation in C# using templates and then adding information based on metadata I obtained from master files describing the mainframe files.
Best approach would be to run a check before the SSIS package imports the CSV data. This may have to be an external script/application, because I don't think you can manipulate data in the MS Business Intelligence Studio.
Here is a rough approach. I will write down the limitations at the end.
Create a flat file source. Put the entire row in one column.
Do not check Column names in first data row.
Create a Script Component
Code:
public override void Input0_ProcessInputRow(Input0Buffer Row)
{
string sRow = Row.Column0;
string sManipulated = string.Empty;
string temp = string.Empty;
string[] columns = sRow.Split(',');
foreach (string column in columns)
{
sManipulated = string.Format("{0}{1}", sManipulated, column.PadRight(15, ' '));
}
/* Note: For sake of demonstration I am padding to 15 chars.*/
Row.Column0 = sManipulated;
}
Create a flat file destination
Map Column0 to Column0
Limitation: I have arbitrarily padded each field to 15 characters. Points to consider:
1. Do we need to have each field of same size?
2. If yes, what is that size?
A generic way to handle that would be to create a table to store the file name, fields, and field sizes.
Use the file name to dynamically create the source and destination connection manager.
Use the field name and corresponding field size to decide the padding. Not sure, if you need this much flexibility. If you have any question, please respond.