python脚本用sqoop把mysql数据导入hive数据仓库中

主要功能：用Python把MySQL数据库的数据导入到Hive中，该过程主要是通过python语言操作sqoop#! /usr/bin/env python# coding:utf-8# --------------------------------# Created by cocoon 16/2/23# ---------------------------------# C

ljphilp

2214人浏览 · 2016-12-26 10:28:14

ljphilp · 2016-12-26 10:28:14 发布

使用说明：由于项目需要将mysql中的业务数据导入到hive中，这里采用sqoop来做中间桥梁，并且通过supervisor来做时间控制，让python定时启动，导入数据。

安装sqoop1.4.6和supervisor

#! /usr/bin/env python
# coding:utf-8
# --------------------------------
# Created by coco  on 16/2/23
# ---------------------------------
# Comment: 主要功能说明 :初始化业务数据库

import os
import pyhs2


conn=pyhs2.connect(host="192.168.8.94",port=10000,authMechanism="PLAIN",user="hdfs")
mysql_info={"host":"192.168.1.200","port":3306,"user":"root","passwd":"123456"}
print mysql_info
def run_hive_query(sql):
    with conn.cursor()  as cursor:
        cursor.execute(sql)
        return cursor.fetchall()
def mysql_to_hive(host,port,user,passwd,database,table):
    #os.system("hadoop fs -rm    -r /user/task/%s"%table)
    if [database] not in run_hive_query("show databases"):
        with conn.cursor() as cursor:
            cursor.execute("create database " +database)
    with conn.cursor() as cursor:
        cursor.execute("use  "+database)
    if [table] not in run_hive_query("show tables"):
        os.system("sqoop   import --connect   jdbc:mysql://%s:%s/%s --username  %s   --password  %s --table %s  --hive-database  %s  -m 10 --create-hive-table --hive-import   --hive-overwrite "%(
            host,port,database,user,passwd,table,database))
    else:
        os.system("sqoop   import --connect   jdbc:mysql://%s:%s/%s --username  %s   --password  %s --table %s  --hive-database  %s  -m 10 --hive-import   --hive-overwrite "%(
            host,port,database,user,passwd,table,database))


mysql_to_hive(mysql_info["host"],mysql_info["port"],mysql_info["user"],mysql_info["passwd"].replace("(","\("),"wwn","cm_vip")