JSON.stringify
统一数据格式,并校验字段类型:const formData = { category: parseInt(document.getElementById("category").value), dateRange: document.getElementById("date-picker").value }; fetch('/api/search', { method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify(formData) });
document.getElementById("province").addEventListener("change", async (e) => { const cities = await fetch(`/api/cities?province=${e.target.value}`); renderCityDropdown(cities); });
# Django ORM示例 results = Order.objects.filter( category=request.POST.get('category'), create_time__range=(start_date, end_date) )
from django.core.cache import cache def get_data(params): key = f"search_cache:{hash(params)}" data = cache.get(key) if not data: data = query_database(params) cache.set(key, data, timeout=600) return data
orders
表的user_id
和create_time
建立联合索引:CREATE INDEX idx_user_time ON orders (user_id, create_time);
通过系统化的排查与优化,表单数据检索的准确性和效率可显著提升,建议定期进行压力测试(如JMeter模拟并发请求),并根据业务增长持续迭代方案,如需进一步技术细节,可参考以下资源: