我正在使用Python和MySQL中的大数据。
我有一个巨大的表，我需要插入新的行，而我获取查询的结果。
我得到了这个错误：

Traceback (most recent call last):
  File "recsys.py", line 53, in <module>
    write_cursor.executemany(add_sim, data_sims)
  File "/Library/Python/2.7/site-packages/mysql/connector/cursor.py", line 603, in executemany
    self._connection.handle_unread_result()
  File "/Library/Python/2.7/site-packages/mysql/connector/connection.py", line 1057, in handle_unread_result
    raise errors.InternalError("Unread result found")
mysql.connector.errors.InternalError: Unread result found

代码如下：

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import logging
import mysql.connector

import numpy
import scipy
from scipy.spatial import distance

logging.basicConfig(filename='recsys.log', level=logging.INFO)

cnx = mysql.connector.connect(user='...', password='...', database='...')

cursor = cnx.cursor(dictionary=True)
write_cursor = cnx.cursor()

query = ("...")

cursor.execute(query)

while True:
    rows = cursor.fetchmany(100)
    if not rows:
        break

    add_sim = ("...")
    data_sims = []

    for row in rows:
        f1 = row['f1']
        f2 = row['f2']
        v1 = [[row['a1'], row['b1'], row['c1']]]
        v2 = [[row['a2'], row['b2'], row['c2']]]

        c = 1 - scipy.spatial.distance.cdist(v1, v2, 'cosine')

        if c > 0.8:

            data_sim = (f1, f2, c)
            data_sims.append(data_sim)

    write_cursor.executemany(add_sim, data_sims)
    cnx.commit()

cursor.close()

cnx.close()

我知道我可以使用mysql的缓冲连接，但在我的情况下这不是一个好的选择，因为我的表真的很大！