Only question is how to configure the generic mechanism for theĬould this 'just work' out of the box with no settings at all? That one app (the documentation is as long as the program itself). It'sĪlmost easier to just have a generic converter than one specific for That would have been a bit annoying since theĬSV output codepath would have been basically completely separate fromĪ JSON::encode_json on the natural data structure. One way to do this would have been to just change the program I used To be provided as multiple CSV files that can be joinedĪs a simplified example, instead of this:

The statistics package they were using could not import JSONįiles with any non-trivial structure. I needed to produce some data for someone else to analyze, but Second, this is as good an excuse as any to start talking a bit about some patterns in how command line programs get told what to do (I'd use the word 'configured', except that's not quite right). Did I just somehow manage to miss all the good ones? Or is this truly something that nobody has ever needed to do? Lots of converters to other formats, all of which seem to assume the JSON is effectively going to be a list of records, but none that supported arbitrary nesting. The first one is that I spent an hour looking for an existing tool that did this and didn't find one. It's the kind of dime a dozen data munging tool that's too trivial to talk about, but I'll write a bit anyway for a couple of reasons. In the example, we also wrote the header row as the first line of the file.Json-to-multicsv is a little program to convert a JSON file to one or more CSV files in a way that preserves the hierarchical structure of nested objects and lists.

Then, This row is saved using writer.Write() method. The writing process consists of iterating through the array of FruitAndVegetableRank objects and making a CSV row for each of them. Remember to call writer.Flush to ensure that all the buffered content is written before the function finishes. Package main import ( 'encoding/csv' 'encoding/json' 'fmt' 'log' 'os' ) type FruitAndVegetableRank struct Īs the last step, we create a new csv.Writer that writes the data in CSV format to the output file.

Json 2 csv