MySQL&ES连接池

 数据库的连接池建议放在类似settings.py的配置模块中，因为基本都是配置项，方便统一管理。

1) 连接池类＃settings.py

import os
from DBUtils.PooledDB import PooledDB
from elasticsearch import Elasticsearch
import pymysql
class Config(object):
    POOL = PooledDB(
        creator = pymysql,
        maxconnections = 20,
        mincached = 3,
        maxcached = 3,
        host = '10.208.116.41',
        port = 3306,
        user = 'hadoop',
        password= 'XXXXX',
        database = 'hadoop_tools'
    )
    #elasticsearch connect
    es_conn = Elasticsearch(
         ['10.208.116.33', '10.208.116.34', '10.208.116.35'],
         sniff_timeout=60,
         sniff_on_start=True
    )
    es_mapping = {
        'properties': {
            'title': {
                'type': 'text',
                'analyzer': 'ik_max_word',
                'search_analyzer': 'ik_max_word'
            }
        }
    }


#POOL test
if __name__ == '__main__':
    conn = Config.POOL.connection()
    #cur = conn.cursor(pymysql.cursors.DictCursor)
    cur = conn.cursor()
    cur.execute("select * from hs2_status")
    ret = cur.fetchall()
    for i in ret:
        print(i)

 

２）封装ＭySQL的操作

utils/helper.py

import pymysql
from ops.settings import Config
def connect():
    conn = Config.POOL.connection()
    cur = conn.cursor(pymysql.cursors.DictCursor)
    return conn,cur
def connect_close(conn,cur):
    conn.close()
    cur.close()

def fetch_all(sql,args):
    conn,cur = connect()
    cur.execute(sql,args)
    result = cur.fetchall()
    connect_close(conn,cur)
    return result

def fetch_one(sql,args):
    conn,cur = connect()
    cur.execute(sql,args)
    result = cur.fetchone()
    connect_close(conn,cur)
    return result

def insert(sql,args):
    conn, cur = connect()
    row = cur.execute(sql,args)
    conn.commit()
    connect_close(conn,cur)
    return row

def update(sql,args):
    conn, cur = connect()
    row = cur.execute(sql,args)
    conn.commit()
    connect_close(conn,cur)
    return row

def delete(sql,args):
    conn, cur = connect()
    row = cur.execute(sql,args)
    conn.commit()
    connect_close(conn,cur)
    return row

##下面这段调试用，可以去掉
if __name__ == '__main__':
    in_zk = 'YES'
    ip = '10.20８.106.159'
    # row = update("update hs2_status set in_zk=%s  where host_ip = %s",(in_zk,ip))
    # print("row is %s" %(row))

    # 获得表头
    # sql = "SHOW FIELDS FROM hs2_status"
    # tb_h = fetch_one(sql,())  # 执行sql
    # #hs2_header = [l[0] for l in tb_h]
    # # for i in tb_h:
    # print("this is %s" %(tb_h))
    #获取内容
    # hs2_content = fetch_all(sql, ())
    sql = "select * from hs2_status"
    hs2_content = fetch_all(sql,())
    for i in hs2_content:
        print(i)

 

3)ES连接引用示例：

#!/usr/bin/env python
# encoding: UTF-8
from ops.settings import Config

#create index,change mappings
Config.es_conn.indices.create(index='news', ignore=400)
Config.es_conn.indices.put_mapping(index='news', doc_type='politics', body=Config.es_mapping)

datas = [
    {
        'title': '美国留给伊拉克的是个烂摊子吗',
        'url': 'http://view.news.qq.com/zt2011/usa_iraq/index.htm',
        'date': '2011-12-16'
    },
    {
        'title': '公安部：各地校车将享最高路权',
        'url': 'http://www.chinanews.com/gn/2011/12-16/3536077.shtml',
        'date': '2011-12-16'
    },
    {
        'title': '中韩渔警冲突调查：韩警平均每天扣1艘中国渔船',
        'url': 'https://news.qq.com/a/20111216/001044.htm',
        'date': '2011-12-17'
    },
    {
        'title': '中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首',
        'url': 'http://news.ifeng.com/world/detail_2011_12/16/11372558_0.shtml',
        'date': '2011-12-18'
    }
]

#insert data
for data in datas:
    Config.es_conn.index(index='news', doc_type='politics', body=data)

#query data
result = Config.es_conn.search(index='news')
print(result)