gocsv | go csv helper , read csv and unmarshal for struct , map , list | CSV Processing library

There is an solved issue on the gocsv github. The user reports the exact same issue, likely due to UTF-8 BOM encoding.

Replacing

If you want to tell the browser the to present the response as a file to download, you can use the Content-Disposition header:

Use the reflect package to access the elements of a dynamically defined slice type:

If I understand correctly, you need a set of unique employees, each with an array of deduction codes. I'm making the assumption that the other properties will be the same for each employee record in the csv. I like to use a map for this in go, because you can easily check whether the employee exists. I think you'll also want to declare a separate type for your employees:

While the separator in your data is ;, the package by default seems to use ,.

So we need to configure the package to use a different separator. According to the documentation, this is possible with a customizable CSV reader:

It looks like the parsing method you're using attempts to read the entire CSV file into memory. You might try using the standard CSV reader package directly, or using another CSV-to-struct library that allows for line-by-line decoding like this one. Does the example code on those pages show what you're looking for?

Another thing to try would be running wc -l ../../../data/geo/public.geo_adresse.csv to get the number of lines in your CSV file, then write this:

To run the Read methods for stocks and transactions concurrently, these methods need to have a way of signaling when they are finished executing. This can be done in a lot of ways, but here are two which require the least modifications to your code.

Solution 1

Use the sync.WaitGroup package. With this package, the Read methods should execute wg.Done() statement when they are done with executing. It should look something like this:

This is "plain" CSV format where the separator is the space character instead of comma or semicolon. The encoding/csv package can handle this.

As to your null / empty fields: just use a loop as a post-processing step and replace them with the empty string.

Using the input: