Python code to convert json to csv9/12/2023 ![]() I would be very grateful if anyone could advise how this could be implemented. The challenge is that I don't know in advance what the keys (column headers are) and in what order they are. ![]() There was an idea to split and convert to CSV or JSON form and implement parallel loading, but how to do it. 1 I have a text file as shown below in the sample that I want to convert to a csv file (currently using Pandas). Basically, such a file only contains information about one company. Tried to use ijson library to iteratively read and split into smaller json files.Īlso don't understand what the table structure should be. Any number of nesting and records in a JSON can be handled with minimal code using jsonnormalize() method in pandas. Firstly we will see how to parse JSON data in Python, which is an important part of converting JSON data to CSV format. The main part of the file, 99.99999999% is stored in "body".Ĭan you tell me how to load this file into a temporary Snowflake table or just a Snowflake table? And how to do it as fast as possible? To convert any JSON file to a CSV file using Python programming language we have to make JSON keys as headers to convert it into a CSV file. ![]() There is a "big.json" of about 70 GB, which is a single object.
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