input: Write a function to optimize a Flask application for efficient performance by implementing various optimization techniques such as using Redis for caching, uWSGI and gunicorn as WSGI servers, Flask-Compress for compression, using global variables where applicable, avoiding direct SQL queries, using query parameters in URLs, and using thread-local objects for performance. The function should return a Flask application instance with these optimizations applied.
  
  assert optimize_flask_app() == <Flask 'app'>
output: 
  def optimize_flask_app():
      from flask import Flask
      from flask_compress import Compress
      from redis import Redis
      import threading
  
      app = Flask(__name__)
      Compress(app)
  
      redis_client = Redis(host='localhost', port=6379)
      thread_local = threading.local()
  
      @app.before_request
      def before_request():
          thread_local.redis = redis_client
  
      @app.route('/')
      def index():
          cached_data = thread_local.redis.get('cached_data')
          if cached_data:
              return cached_data
          # Simulate fetching data from a database
          data = "Some data from the database"
          thread_local.redis.set('cached_data', data)
          return data
  
      return app
  