Junior — Middle
How to implement the transfer of large volumes of data to the client in a frontend application?
sobes.tech AI
Answer from AI
To transmit large volumes of data to the client in a Python frontend application, the following approaches are usually used:
- Pagination — divide data into pages and send in parts to avoid overloading the network and client.
- Streaming — send data in parts as it is generated.
- Data compression — use gzip or other HTTP response compression methods.
- Using formats with efficient serialization (e.g., JSON, protobuf).
Example of a simple API with pagination in Flask:
from flask import Flask, request, jsonify
app = Flask(__name__)
DATA = list(range(10000)) # large volume of data
@app.route('/data')
def get_data():
page = int(request.args.get('page', 1))
per_page = int(request.args.get('per_page', 100))
start = (page - 1) * per_page
end = start + per_page
return jsonify(DATA[start:end])
This way, the client can request data in portions, reducing the load.