I consider XML as the best solution in terms of code and performance. Let us see the example that I use frequently and its output.

Creating Comma Separated Values (CSV) from Table Column is a very common task, and we all do this many times a day. If your goal is not necessarily to create a database, but rather to run SQL queries on your CSV data, this function will allow you to return the results of an SQL query done against your CSV file, in the form of another CSV file.I use following script very often and I realized that I have never shared this script on this blog before. To view more examples for specific usages, read the documentation on the csvsql command Query CSV using SQL csvsql -query 'select date from data where price > 30' data.csv > new.cs Running this command will allow you to insert your CSV file into an already existing postgres database. Import CSV into PostgreSQL csvsql -db postgresql:///database -insert data.csv Instead, I will highlight two functions that might be useful for you to explore, and leave the documentation here for you to read more. The library of commands is quite extensive, and the functionality that it would allow you to perform is quite extensive.įor the purposes of this article, I won't get too into depth about the process of setting up the tool and getting your environment set up. If you're a more technical user, you can also explore using csvkit, a command line tool that allows you to manipulate CSV's. Using Command Line Arguments to Convert CSV to Database

Convert sql to csv