bloom = Bloomfilter("state.txt")
else:
print("文件不存在设置大小为100000")
bloom = Bloomfilter(100000)
bloom =Bloomfilter(100000)
# 如果程序是第一次使用填数字 如果不是第一次 用文件路径
# bloom =Bloomfilter("state.txt")
while True:
key = input("请输入数据")
if bloom.test(key): #测试
print("数据存在",key)
else:
print("数据不存在!",key)
bloom.add(key) #添加
bloom.save("state.txt") #状态保存
# 1 列表去重
#优点:逻辑/代码简单易懂
# 缺点 1)如果数据量巨大电脑吃不消(内存)
# 2)只对当前运行有效 ,不能停
result = ['zhangsan','lisi']
keyword = 'wangwu'
if 'zhangsan' in result:
print("数据已存在")
else:
#数据存储
print("新数据,开始存储")
result.append(keyword)
class SaveToMysqlPipeline(object):
def open_spider(self, spider):
# host:localhost、127.0.0.1、 192.168.2.54
# user:连接数据库的用户名，一般都是root
# password：连接数据库的密码， 123456
# database:连接的数据库名字（数据库必须存在）
# port:mysql数据库的端口，默认3306
# charset:mysql数据库的编码格式， utf8
# connection = pymysql.connect(host="localhost", user="******", password="******", database="jobs", port=3306, charset="utf8")
# connection = pymysql.connect(
# host=settings['MYSQL_HOST'],
# user=settings['MYSQL_USER'],
# password=settings['MYSQL_PASSWORD'],
# database=settings['MYSQL_DATABASE'],
# port=settings['MYSQL_PORT'],
# charset=settings['MYSQL_CHARSET'],
# )
connection = pymysql.connect(**settings['MYSQL_SETTINGS'])
cursor = connection.cursor()
if os.path.exists("job.state"):
self.bloom = Bloomfilter("job.state")
else:
self.bloom = Bloomfilter(1000000)
# 主键 PRIMARY KEY，特点：不能重复
# 自增 AUTO_INCREMENT
# 如果你的列名多个单词，最好用``括起来 例如 `my name`
# 如果你的列名是sql的关键字，最好用`括起来
cursor.execute("""
CREATE TABLE IF NOT EXISTS `job` (
job_id INTEGER PRIMARY KEY AUTO_INCREMENT,
job_name text COMMENT '工作名称',
job_money text COMMENT '工作薪资',
max_money FLOAT COMMENT '最大薪资',
min_money FLOAT COMMENT '最少薪资',
job_date text COMMENT '工作发布时间',
company_name text COMMENT '公司名称',
job_place text COMMENT '工作地点',
job_city text COMMENT '工作城市',
job_area text COMMENT '工作地区',
job_education text COMMENT '工作学历',
job_fuli text COMMENT '公司福利',
job_from text COMMENT '工作所属网站',
job_type text COMMENT '工作类型',
job_detail_href text COMMENT '详情地址',
job_state text COMMENT '工作数据的加密信息'
)
""")
self.connection = connection
self.cursor = cursor
def process_item(self, item, spider):
# 将python数据结构转换为Json
job_state = json.dumps(dict(item))
# 摘要算法，把任意长度的数据转换为一个长度固定的数据串
hl = hashlib.md5()
hl.update(job_state.encode(encoding='utf-8'))
job_state = hl.hexdigest()
# 测试数据是否在bloom对象中
# 数据不在，添加，并且插入到数据库
if not self.bloom.test(item['job_detail_href']):
print("添加数据========================")
self.cursor.execute(
"""
INSERT INTO job ( job_name, job_money, max_money, min_money, job_date, company_name, job_place, job_city, job_area, job_education, job_fuli, job_from, job_type, job_detail_href, job_state ) VALUES ( %s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s )
""", (item['job_name'], item['job_money'], item['max_money'],
item['min_money'], item['job_date'], item['company_name'],
item['job_place'], item['job_city'], item['job_area'],
item['job_education'], item['job_fuli'], item['job_from'],
item['job_type'], item['job_detail_href'], job_state))
self.bloom.add(item['job_detail_href'])
self.bloom.save("job.state")
#
else:
self.cursor.execute(
"""SELECT job_state from job WHERE job_detail_href=%s""",
(item['job_detail_href'], ))
result = self.cursor.fetchone()
if result and result[0] != job_state:
print("更新数据=========================")
self.cursor.execute(
"""
UPDATE job set job_name=%s, job_money=%s, max_money=%s, min_money=%s, job_date=%s, company_name=%s, job_place=%s, job_city=%s, job_area=%s, job_education=%s, job_fuli=%s, job_from=%s, job_type=%s WHERE job_detail_href=%s
""",
(item['job_name'], item['job_money'], item['max_money'],
item['min_money'], item['job_date'], item['company_name'],
item['job_place'], item['job_city'], item['job_area'],
item['job_education'], item['job_fuli'], item['job_from'],
item['job_type'], item['job_detail_href']))
else:
print("不用更新数据=========================")
self.connection.commit()
return item
def close_spider(self, spider):
self.cursor.close()
self.connection.close()