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JSON vs Jsonnet: What are the differences?
Syntax: JSON is a simple data interchange format with a limited set of data types like string, number, boolean, and object arrays, represented in a hierarchical structure. On the other hand, Jsonnet is a superset of JSON with additional features such as comments, variables, conditionals, string interpolation, array and object comprehensions, imports, and local functions.
Extensibility: JSON is highly readable and widely supported but lacks the ability for code reuse and modularity. Jsonnet addresses this limitation by allowing the creation of reusable components through functions and imports, promoting better code organization and maintainability.
Structured Data Processing: While JSON is primarily used for data interchange, Jsonnet enables the creation of configuration files for applications that require advanced data processing capabilities. This allows for more sophisticated data manipulation and transformations compared to the simpler structure of JSON.
Tools and Ecosystem: JSON has robust support and tooling across various programming languages and platforms due to its simplicity and widespread adoption. Jsonnet, while gaining traction, may have a more limited ecosystem with fewer tools and libraries available for developers.
Complexity and Learning Curve: JSON is straightforward and easy to understand, making it accessible to beginners and non-programmers. Jsonnet, with its additional features and functionalities, has a steeper learning curve, requiring users to grasp concepts like functions, evaluations, and imports to leverage its full potential.
Use Cases: JSON is commonly used for transmitting data between a server and a web application, configuration files, and APIs due to its simplicity and human readability. Jsonnet, with its advanced capabilities and data processing features, is more suitable for complex configuration management, infrastructure as code, and environments where dynamic data generation is required.
In Summary, JSON is a basic data interchange format, while Jsonnet is a more advanced superset offering extensibility, structured data processing, and tools for complex configuration needs.
Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?
Python is very flexible and definitely up the job (although, in reality, any language will be able to cope with this task!). Python has some good libraries built in, and also some third party libraries that will help here. 1. Convert CSV -> JSON 2. Validate against a schema 3. Deploy to AWS
- The builtins include json and csv libraries, and, depending on the complexity of the csv file, it is fairly simple to convert:
import csv
import json
with open("your_input.csv", "r") as f:
csv_as_dict = list(csv.DictReader(f))[0]
with open("your_output.json", "w") as f:
json.dump(csv_as_dict, f)
The validation part is handled nicely by this library: https://pypi.org/project/jsonschema/ It allows you to create a schema and check whether what you have created works for what you want to do. It is based on the json schema standard, allowing annotation and validation of any json
It as an AWS library to automate the upload - or in fact do pretty much anything with AWS - from within your codebase: https://aws.amazon.com/sdk-for-python/ This will handle authentication to AWS and uploading / deploying the file to wherever it needs to go.
A lot depends on the last two pieces, but the converting itself is really pretty neat.
I would use Go. Since CSV files are flat (no hierarchy), you could use the encoding/csv package to read each row, and write out the values as JSON. See https://medium.com/@ankurraina/reading-a-simple-csv-in-go-36d7a269cecd. You just have to figure out in advance what the key is for each row.
This should be pretty doable in any language. Go with whatever you're most familiar with.
That being said, there's a case to be made for using Node.js since it's trivial to convert an object to JSON and vice versa.
Pros of JSON
- Simple5
- Widely supported4
Pros of Jsonnet
- Side-effect free1
- Data templating (not string templating)1
- Dashboard as a code0
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