使用pandas把mysql的数据导入MongoDB。

使用pandas把mysql的数据导入MongoDB。

首先说下我的需求，我需要把mysql的70万条数据导入到mongodb并去重，
同时在第二列加入一个url字段，字段的值和第三列的值一样，代码如下:

# -*- coding: utf-8 -*-
# @Time    : 2018/9/29 17:20
# @Author  : cxa
# @File    : run.py
# @Software: PyCharm
import pandas as pd
from sqlalchemy import create_engine
from pymongo import MongoClient
import json
import time

class MongoBase:
    def __init__(self, collection):
        self.collection = collection
        self.OpenDB()

    def read_mysql(self):
        engine = create_engine(
          'mysql+pymysql://usernmae:passwd@ip:port/dbname?charset=utf8')  # 用sqlalchemy创建引擎
        start=time.time()
        max_id=self.get_max_id()
        df1 = pd.read_sql(f'select primary_key,phone,plat_code,crawl_time,jrjt_del_dt from test_info where primary_key>{max_id}', engine)  # 从数据库中读取表存为DataFrame
        end = time.time()
        print("查询完毕条数",len(df1['phone']),"用时",end-start)
        df1.drop_duplicates('phone', keep='first', inplace=True)
        df1.insert(1, 'url', df1['phone'])
        return df1

    def OpenDB(self):
        self.con = MongoClient(host=host)
        self.db = self.con[self.collection]
        self.collection = self.db['test']

    def closeDB(self):
        self.con.close()

    def get_max_id(self):
        max_id = self.collection.find().sort([('primary_key', -1)]).limit(1)[0]
        if max_id:
            return max_id.get("primary_key")

if __name__ == '__main__':
    start=time.time()
    mongo = MongoBase('spider_data')
    df =mongo.read_mysql()
    mongo.collection.insert(json.loads(df.T.to_json()).values())
    mongo.closeDB()
    end=time.time()
    print("运行完成所用时",end-start)