An automatically generated CSV file has an extra line at the bottom and is creating a problem in a Power Automate flow for me. I don't know how typical this is, but when opening the CSV in Notepad, each item is separated by 6 empty rows. The last item has 7 empty rows, which is what I believe the problem is. Can I delete that last row of the CSV file using Power Automate? I don't think I have access to Powershell, nor do I know how to use it.
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I am currently working on an input file and I do have a column which contains 3 different values in one cell itself. Although this data is not being used in the transformation , I need to input this data from the source and then ignore when it is loaded into the staging table.
But the issue I face is that it gets loaded into separate rows rather than 1 cell.
This particular column is input as a string datatype. what change do I need to make to resolve this issue. Please let me know If more details are needed to answer the question.
I have uploaded a sample file to google drive https://drive.google.com/file/d/17hn8xmRd4CWsgKBzHgdwnR9W4jTJ9lTn/view?usp=sharing
The following is a screenshot of the csv data as opened in a text editor
Having downloaded sample.csv from your link, the first thing I did was open it in a text editor (Notepad++, TextPad, Visual Studio, etc) and just looked at what you have.
Row 1 is column headers
Encoded in UFT-8 with BOM (byte order marker)
Line Endings are CR/LF (Carriage Return & Line Feed)
Column delimiter appears to be a comma ,
Double Quote, ", is used as the text qualifier but only when needed
There are CR/LF characters in the actual data
I then define my flat file connection manager based on that data
Finally, I have a data flow with a Flat File Source to a Derived Column and drop a Data Viewer between them
As you can see, configuring your Flat File Connection Manager as I show will allow all the data to flow into your table as expected.
What is happening now is the CRLF, which is our row delimiter, is having precedence over the embedded CRLF in the column data. By setting the double quote as the Text Qualifier, the data reader correctly "skips" the embedded CRLF until it is encountered outside of the quotes.
Using Apache Hop latest version I'm trying to read in a plain text file. This text file is old and basically only structured by its lines (it has no delimiter, no seperator, no enclosure, etc.). I would like to read and process the lines of this file as rows in my transformation.
I use the "Text file input" transformation to read the file. Apparently reading it works, but I seem have no field available when trying to retrieve the fields. It simply states that no fields were found.
When I run the "preview records" I do get empty records equal to the number if lines in the file, so that is good. However there is no data shown as there is no field detected.
Curiously enough, when I press "Show file content" I DO get the desired content, nicely structured in the rows as desired, so I know the file is being read correctly.
Does anyone know how to best read these kind of files?
PS: The files can be anywhere from 10 to 100000 lines.
When there is no header row with field names or Hop is not able to detect any fields you can also create a field in the fields tab and it will put content in there.
As we just use a position based approach and split the content using the specified delimiter everything should go in "field1" when no delimiter is found in the data.
Figured it out. The naming is a bit misleading, but you can use the "CSV File input" and then set a TAB as delimited. Then use preview on your file and you should find that the lines are actually being parsed.
I'm pasting Tab Delimited data from Notepad++ to excel (about 50k rows and 3 columns). No matter how many different ways I try it, Excel wants to convert a cell containing one " to the next instance of " into one cell content.
For Example, if my data looked like this:
"Apple 1.0 Store
Banana 1.3 Store
"Cherry" 2.5 Garden
Watermelon 4.0 Field
The excel file looks like this:
Apple1.0StoreBanana1.3Store
Cherry 2.5GardenWatermelon4.0Field
One way to get around this is to open the file as a CSV in excel, however this leads to Excel formatting the number values to simplified ones using Excel's "General" format. So the data would look like the following:
"Apple 1 Store
Banana 1.3 Store
"Cherry" 2.5 Garden
Watermelon 4 Field
The data I'm getting is coming from SQL Server Studio so my options for file formats are:
.CSV
.Txt (Tab-delimited)
Copy Pasting from Query results
The solution I'm looking for is to have the data represented in Excel with no excel processing taking place on the quotations, numbers or any other cell contents.
Don't open the file directly in excel. Instead import it and control the data types and file layout.
Open a new excel document:
Select Data menu:
Select From Text in get External Data section.
Select file to import
On step 1 of import wizard select delimited
Click next
Select tab checkbox and change text qualifier to {none}.
Click next
Set column data types to general, text, text
Click finish.
Excel auto imports the data the best it can when you open directly in excel. You lose flexibility/control when this happens. better to import and control yourself to get the fine adjustments you're looking for.
You end up with something like this:
By treating the numbers like text, the zero's don't get messed up.
By setting the text qualifier to none, the quotes don't get messed up.
Have you tried opening it via Text Import?
Got to Data tab > From Text (third form left on default)
You will have window similar to Text To Columns.
Select correct delimiter, remember to remove the quote sign from TExt Qualifier and mark all columns as text to avoid Excel autoformatting.
Step 1:
Step 2:
Step 3:
EXCEL TIP: TIME SAVING IN IMPORTING CSV FILES INTO EXCEL: If u pre-set your Text-To-Columns delimiter parameters correctly in EXCEL (eg specify tabs as the delimiter) and then copy and paste the CSV data, Excel will import the CSV paste directly into the correct columns without u having to going through the Text-To-Columns rigmarole. This was particularly time saving when i had to import hundreds of bank statements into Excel.
However if your Text-To-Columns delimiters are pre-specified incorrectly as e.g. comma and you are importing tab delimited files then excel will dump all the data into one column, and u will have to go through the time consuming process of converting Text-To-Columns for each statement.
EXCEL LOOKS TO THE EXISTING Text-To-Columns delimiters TO SEE IF IT CAN USE THOSE TO MAKE YOUR LIFE EASIER WHEN PASTING DATA
Hope that tip helps (It saved me several hours)
I have following csv file:
col1, col2, col3
"r1", "r2", "r3"
"r11", "r22", "r33"
"totals","","",
followed by 2 blank lines. The import is failing as there is extra comma at the end of the last data row and most probably will fail because of the extra blank lines at the end.
Can I skip the last row somehow or even better stop import when I get into that row? It always has "totals" string in the "col1".
UPDATE:
As far as I understood from the answers that it is not possible to do that with Flat File. Currently I did that with the "Script Component" as a source
You can do it by reading the row as a single string.
Conditionally split out Null and left(col0)=="total"
in script component you then use split function
finally trim("\"")
I know of nothing built-in to SSIS that lets you ignore the LAST line of a CSV.
One way to handle this is to precede your dataflow with a script task that uses the FileSystemObject to edit the CSV and remove the last line.
You will need to create a custom script where you read all lines but the last within SSIS.
This is old but it came up for me when searching this topic. My solution was to redirect rows on the destination. The last row is redirected instead of failing and the job completes. Of course you will potentially redirect rows you don't want to. It all depends on how much you can trust the data.
I'm working on a flow where I get CSV files. I want to put the records into different directories based on the first field in the CSV record.
For ex, the CSV file would look like this
country,firstname,lastname,ssn,mob_num
US,xxxx,xxxxx,xxxxx,xxxx
UK,xxxx,xxxxx,xxxxx,xxxx
US,xxxx,xxxxx,xxxxx,xxxx
JP,xxxx,xxxxx,xxxxx,xxxx
JP,xxxx,xxxxx,xxxxx,xxxx
I want to get the field value of the first field i.e, country. Put those records into a particular directory. US records goes to US directory, UK records goes to UK directory, and so on.
The flow that I have right now is:
GetFile ----> SplitText(line split count = 1 & header line count = 1) ----> ExtractText (line = (.+)) ----> PutFile(Directory = \tmp\data\${line:getDelimitedField(1)}). I need the header file to be replicated across all the split files for a different purpose. So I need them.
The thing is, the incoming CSV file gets split into multiple flow files with the header successfully. However, the regex that I have given in ExtractText processor evaluates it against the splitted flow files' CSV header instead of the record. So instead of getting US or UK in the "line" attribute, I always get "country". So all the files go to \tmp\data\country. Help me how to resolve this.
I believe getDelimitedField will only work off a singular line and is likely not moving past the newline in your split file.
I would advocate for a slightly different approach in which you could alter your ExtractText to find the country code through a regular expression and avoid the need to include the contents of the file as an attribute.
Using a regex of ^.*\n+(\w+) will capture the first line and the first set of word characters up to the comma and place them in the attribute name you specify in capture group 1. (e.g. country.1).
I have created a template that should get the value you are looking for available at https://github.com/apiri/nifi-review-collateral/blob/master/stackoverflow/42022249/Extract_Country_From_Splits.xml