在mysql中优化大型数据库的查询

Question

这是我名为post的表

import csv
filename = "F:\\FairDealCustomerData.csv"
csvout = "F:\\FairDealCustomerDataout.csv"
with open(filename,'r',newline='') as read_file:
    readCSV = csv.reader(read_file, delimiter=',')
    with open(csvout,"w",newline='') as write_file:
        writer = csv.writer(write_file)
        for row in readCSV:
            writer.writerow([row[0], row[1].split('.')[1].strip() + ' ', row[2], 
            row[1].split('.')[0].strip()])
write_file.close()

ALERT:please do care about with and for functionalities other wise we will get 
 ValueError: I/O operation on closed file

此表有500,000行

现在我想使用WHERE slug_title ='title'从该表中选择一行

从 ID (primary auto_increment) | POST | slug_title | image2 | .... | 1 hello title url ... 的slug_title ='some_title'中选择ID

此查询需要1.2秒，我看到它的时间很长，我无法 查询我写的这个更简单，那么我该如何解决呢？

我看到许多网站都有数以百万计的帖子和类似魅力的作品 我的数据库大小2 GB