用Python将mysql数据导出成json的方法

1、相关说明

此脚本可以将mysql/' target='_blank'>mysql的数据导出成Json格式，导出的内容可以进行select查询确定。

数据传入参数有：dbConfigName, selectSql, jsonPath, fileName。

依赖的库有：MySQLdb、json，尤其MySQLdb需要事先安装好。

2、python/' target='_blank'>python脚本及测试示例

/Users/nisj/PycharmProjects/BiDataProc/oldPythonBak/mysqlData2json.py

# -*- coding=utf-8 -*-import MySQLdbimport warningsimport datetimeimport sysimport jsonreload(sys)sys.setdefaultencoding('utf8') warnings.filterwarnings("ignore") mysqlDb_config = {  'host': 'MysqlHostIp',  'user': 'MysqlUser',  'passwd': 'MysqlPass',  'port': 50512,  'db': 'Tv_event'} today = datetime.date.today()yesterday = today - datetime.timedelta(days=1)tomorrow = today + datetime.timedelta(days=1) def getDB(dbConfigName):  dbConfig = eval(dbConfigName)  try:    conn = MySQLdb.connect(host=dbConfig['host'], user=dbConfig['user'], passwd=dbConfig['passwd'],                port=dbConfig['port'])    conn.autocommit(True)    curr = conn.cursor()    curr.execute("SET NAMES utf8");    curr.execute("USE %s" % dbConfig['db']);     return conn, curr  except MySQLdb.Error, e:    print "Mysql Error %d: %s" % (e.args[0], e.args[1])    return None, None def mysql2json(dbConfigName, selectSql, jsonPath, fileName):  conn, curr = getDB(dbConfigName)  curr.execute(selectSql)  datas = curr.fetchall()  fields = curr.description   column_list = []  for field in fields:    column_list.append(field[0])   with open('{jsonPath}{fileName}.json'.format(jsonPath=jsonPath, fileName=fileName), 'w+') as f:    for row in datas:      result = {}      for fieldIndex in range(0, len(column_list)):        result[column_list[fieldIndex]] = str(row[fieldIndex])      jsondata=json.dumps(result, ensure_ascii=False)      f.write(jsondata + '\n')  f.close()   curr.close()  conn.close() # Batch TestdbConfigName = 'mysqlDb_config'selectSql = "SELECT uid,name,phone_num,qq,area,created_time FROM match_apply where match_id = 83 order by created_time desc;"jsonPath = '/Users/nisj/Desktop/'fileName = 'mysql2json'mysql2json(dbConfigName, selectSql, jsonPath, fileName)

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