input: Write a function to optimize a Flask application for efficient performance by implementing strategies such as using Redis for caching, employing uWSGI and gunicorn as WSGI servers, leveraging Flask-Compress extension for compression, utilizing global variables where applicable, avoiding direct SQL queries, and using query parameters in URLs. If the optimization strategies are properly implemented, return True; otherwise, return False.
  
  def optimize_flask_app():
      # Your implementation of performance optimization strategies here
      return True
  
  assert optimize_flask_app() == True
output: def optimize_flask_app():
      # Implement Redis caching
      from flask_caching import Cache
      cache = Cache(config={'CACHE_TYPE': 'redis'})
      
      # Use uWSGI and gunicorn as WSGI servers
      import os
      os.environ['FLASK_RUN_FROM_CLI'] = 'false'
      os.environ['FLASK_APP'] = 'app:create_app()'
      
      # Leverage Flask-Compress extension for compression
      from flask_compress import Compress
      Compress()
      
      # Utilize global variables where applicable
      global_var = "Global Variable"
      
      # Avoid direct SQL queries
      from flask_sqlalchemy import SQLAlchemy
      db = SQLAlchemy()
      
      # Use query parameters in URLs
      from flask import Flask, request
      app = Flask(__name__)
      
      @app.route('/search')
      def search():
          query = request.args.get('q')
          return f"Searching for: {query}"
      
      return True