设计思路:
1.程序一旦run起来,python会把mysql中最近一段时间的数据全部提取出来
2.然后实例化redis类,将数据简单解析后逐条传入redis队列
3.定时器设计每天凌晨12点开始跑
ps:redis是个内存数据库,做后台消息队列的缓存时有很大的用处,有兴趣的小伙伴可以去查看相关的文档。
# -*- coding:utf-8 -*-
import MySQLdb
import schedule
import time
import datetime
import random
import string
import redis
# get the data from mysql
class FromSql(object):
def __init__(self, conn):
self.conn = conn
def acquire(self):
cursor = self.conn.cursor()
try:
sql = "SELECT * FROM test WHERE TO_DAYS(NOW()) - TO_DAYS(t) <= 1"
cursor.execute(sql)
rs = cursor.fetchall()
#print (rs)
for eve in rs:
print('%s, %s, %s, %s' % eve)
copy_rs = rs
cursor.close()
return copy_rs
except Exception as e:
print("The error: %s" % e)
class RedisQueue(object):
def __init__(self, name, namespace='queue', **redis_kwargs):
"""The default connection parameters are: host='localhost', port=6379, db=0"""
self.__db= redis.Redis(**redis_kwargs)
self.key = '%s:%s' %(namespace, name)
def qsize(self):
return self.__db.llen(self.key)
def put(self, item):
self.__db.rpush(self.key, item)
def get(self, block=True, timeout=None):
if block:
item = self.__db.blpop(self.key, timeout=timeout)
else:
item = self.__db.lpop(self.key)
if item:
item = item[1]
return item
def get_nowait(self):
return self.get(False)
if __name__ == "__main__":
# connect mysqldb
conn_sql = MySQLdb.connect(
host = '127.0.0.1',
port = 3306,
user = 'root',
passwd = '',
db = 'test',
charset = 'utf8'
)
def job_for_redis():
get_data = FromSql(conn_sql)
data = get_data.acquire()
q = RedisQueue('test',host='localhost', port=6379, db=0)
for single_data in data:
for meta_data in single_data:
q.put(meta_data)
print(meta_data)
print("All data had been inserted.")
"""
try:
schedule.every().day.at("00:00").do(job_for_redis)
except Exception as e:
print('Error: %s'% e)
# finally:
# conn.close()
while True:
schedule.run_pending()
time.sleep(1)
"""
补充知识:python定时获取汇率存入数据库
python定时任务:
我们可以使用 轻量级的第三方模块schedule。首先先安装:pip install schedule
定时任务的的小测试:
import schedule
import time
def job():
print("I'm working...")
schedule.every(10).minutes.do(job) # 每隔10分钟执行一次任务
schedule.every().hour.do(job) # 每隔一小时执行一次任务
schedule.every().day.at("10:30").do(job) # 每天10:30执行一次任务
schedule.every(5).to(10).days.do(job) # 每5-10天执行一次任务
schedule.every().monday.do(job) # 每周一的这个时候执行一次任务
schedule.every().wednesday.at("13:15").do(job) # 每周三13:15执行一次任务
while True:
schedule.run_pending()
获取数据存入数据库:(格式可能不太对,还有一些符号。自己修改一下即可)
import pymysql
import schedule
import time
import requests
import pandas
from sqlalchemy import create_engine
#获取美元的所有外汇
def job():
content = '美元'
url = 'http://www.boc.cn/sourcedb/whpj/index.html' #外汇数据地址
html = requests.get(url).content.decode('utf-8')
index = html.index('<td ' + content + '</td ')
str = html[index:index+300]
result = re.findall('<td (.*?)</td ',str)
print("币种:" + result[0])
print("现汇买入价:" + result[1])
print("现钞买入价:" + result[2])
print("现汇卖出价:" + result[3])
print("现钞卖出价:" + result[4])
print("中行结算价:" + result[5])
print("发布时间:" + result[6] + ' ' + result[7])
#本地地址 数据库账号 密码 数据库名
db = pymysql.connect('localhost','root','root','pinyougoudb')
cursor = db.cursor()
#sql语句
sql = "update tb_money set huiBuy = %s,chaoBuy = %s,huiSale = %s,chaoSale = %s,centerResult= %s,publishTime = '%s' where typeId = '%s'" % (result[1], result[2], result[3], result[4], result[5], result[6] + ' ' + result[7], result[0])
cursor.execute(sql)
db.commit()
print('success')
# 查询语句,将存入的数据查出来
# sqlalchemy 进行数据库初始化
engine = create_engine('mysql+pymysql://root:root@localhost:3306/pinyougoudb')
sql = '''select * from tb_money'''
# pandas 进行数据库读写
df = pandas.read_sql_query(sql,engine)
print(df)
db.commit()
# 每隔几分中刷新一次
#schedule.every(0.1).minutes.do(job)
#每天什么时候刷新
schedule.every().day.at("09:29").do(job)
schedule.every().day.at("09:30").do(job)
#一直循环 知道满足条件执行
while True:
schedule.run_pending()
以上这篇Python定时从Mysql提取数据存入Redis的实现就是小编分享给大家的全部内容了,希望能给大家一个参考。