I have a directory full of .CSV files. I'd like PowerShell to import each file and store each as a separate variable. Currently I'm relying on a while loop and having the user manually input each CSV file by hand.
However, manual input is quite tedious and time consuming for the user and I'd like to have PowerShell automate this task. What would be the best way to go about doing that? I've thought about having PowerShell generate a list via "*.csv", saving that to a variable, and then looping over said list to do the mass import. Would there be a better way to pull off this task? Thanks in advance.
I think what may be better, rather than saving each as it's own variable, would be to import the files into a hashtable where the file name is the key and the imported data is the value.
$CSVData = #{}
Get-ChildItem '.\*.csv' | ForEach{$CSVData.Add($_.Name,(Import-CSV $_.FullName))}
Then, lets say one of the files was 'MarchSales.csv' that you wanted to access. You could simply reference $CSVData['MarchSales.csv'] to work with the data. Want to work with data from each and every file? Something like this could work:
ForEach($filename in $CSVData.Keys){
Do Stuff With $CSVData[$filename]
}
Related
I have an SSIS package that creates a text flat file from data in a database table. Everything works perfect except that I need to capture the dynamic filename for use in another process. I've searched everywhere but haven't found anything close to what I need other than using a ForEach Loop to loop through the directory the file will be stored in. I can't do that because there's too many things that could go wrong. I'm currently creating the dynamic filename through variables and it contains a datetime stamp.
Is there a way that I can capture the file name when the file is created in the data flow task so I can use it in another process within the control flow task?
Thank you in advance!
John
I've been using Pentaho Data Integration lately and currently I intend to use it to a project I'm in. The assist I'm looking for is the following:
There can be variable CSV file inputs in a folder
Is there a way to get all .csv files (the operator/ series of operators) using Pentaho?
After this step I believe what I have to do is pretty simple, as I only have to merge those files together.
Thanks
Use the Text File Input. It allows for folders using a regular expression and can handle csv files
Add the "Get File Names" step before the "CSV file input" step. When the CSV step has input, then a field appears in the configuration dialog allowing you to get the filename from the incoming stream.
I have a Couchbase Cluster with only one node (let's call it localhost) and I need to export all the data from a very big bucket (let's call it XXX) into a CSV file.
Now this seems to be a pretty easy task but I can't find the way to make it work.
According to the (really bad) documentation on the cbtransfer toold from Couchbase http://docs.couchbase.com/admin/admin/CLI/cbtransfer_tool.html they say this is possible but they don't explain it clearly. They just add a flag if you want the transfer to occur in csv format (?) but it is not working. Maybe someone who already did this can give me a hand?
Using the documentation I've been able to make an approach to the result I want to obtain (a clean CSV file with all the documents in the XXX bucket) using this command:
/opt/couchbase/bin/cbtransfer http://localhost:8091 /path/to/export/output.csv -b XXX
But what I get is that /path/to/export/output.csv is actually a folder with a lot of folders inside and it is storing some kind of json metadata that can be used to restore the XXX bucket in another instance of Couchbase.
Has anyone been able to export data from a Couchbase bucket (Json documents) into a CSV file?
From looking at the documentation, you have to put a slightly different syntax to export to a CSV. http://docs.couchbase.com/admin/admin/CLI/cbtransfer_tool.html
It needs to look like so:
cbtransfer http://[localhost]:8091 csv:./data.csv -b default -u Administrator -p password
Notice the "csv:" before the name of the csv file.
I tested this and it does export a CSV. Just be forwarned that you need a relatively flat document structure for this to work really well, as JSON can represent far more complex data structures than CSV obviously, e.g. arrays, sub-documents, etc. cbtransfer will not unravel those. For example, if there is a subdocument, cbtransfer will represent it as a JSON doc in the line of each CSV.
So depending on what your document structure is, exporting to CSV is not an ideal format. It is a step backwards.
I want to create .csv files with the Report Generation Toolkit in Labview.
They must actually be .csv files which can be opened with Notepad or something similar.
Creating a .csv is not that hard, it's just a matter of adding the extension to the file name that's going to be created.
If I create a .csv file this way it opens nicely in excel just the way it should, but if I open it in Notepad it shows all kind of characters and it doesn't even come close to the data I wrote to the file.
I create the files with the Labview code below:
Link to image (can't post image yet because I've got to few points)
I know .csv files can be created with the Write to Spreadsheet VI but I would like to use the Report Generation Toolkit because it's pretty easy to add columns and rows to the file and that is something I really need.
you can use the Robust CSV package on the lavag.org forum to read and write 2D arrays to CSV files.
http://lavag.org/files/file/239-robust-csv/
Calling a file "csv" does not make it a CSV file. I never used the toolkit to generate an Excel file, but I'm assuming it creates an XLS or XLSX file, regardless of what extension you give it, which is why you're seeing gibberish (probably XLS, since it's been around for a while and I believe XLSX is XML, not binary).
I'm not sure what your problem is with the write spreadsheet VI. It has an append input, so I assume you can use that to at least add rows directly to a file, although I can't say I ever tried it. I would prefer handling all the data in memory explicitly, where you can easily use the array functions to add rows or columns to the array and then overwrite the entire file.
I'm using CSVDE to export data from our active directory into a CSV file, which then gets imported into a database. I'm using the -l switch to specify the columns that I'd like to export, but they don't come out in the same order consistently. Is there a workaround for this that doesn't involve opening the file in Excel? This is a nightly batch process and we'd like it to run unattended.
Thanks!
If you simply want a command-line utility that can re-order the CSV (and do much else as well), take a look at my FOSS CSV stream editor, CSVfix.
Per the docs:
LDAP can return attributes in any
order, and csvde does not attempt to
impose any order on the columns.
How about writing a python script to read reorder the csv file? You may find the python csv module useful for this.