Merging two hash maps seems like an O(N) operation. However, while merging millions of keys, I encountered a massive >10x performance degradation unexpectedly. This post explores why some of the most popular libraries fall into this trap and how to fix it. The source code is available here.
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| from flask import Flask, request, jsonify, json, abort | |
| from flask_cors import CORS, cross_origin | |
| import pandas as pd | |
| app = Flask(__name__) | |
| cors = CORS(app) | |
| app.config['CORS_HEADERS'] = 'Content-Type' |
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| # 0 is too far from ` ;) | |
| set -g base-index 1 | |
| # Automatically set window title | |
| set-window-option -g automatic-rename on | |
| set-option -g set-titles on | |
| #set -g default-terminal screen-256color | |
| set -g status-keys vi | |
| set -g history-limit 10000 |