Python系列之MySQL查询数据导出Excel

SmileNicky

发布于 2022-05-19 12:52:06

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发布于 2022-05-19 12:52:06

文章被收录于专栏：Nicky's blog

Python系列之MySQL查询数据导出Excel

最近接到需求，需要通过一条SQL查询出来的id，去过滤另外一条SQL的数据，听起来并不难，但是因为业务原因需要查询很多个环境，而且需要经常查询，所以想到通过python程序来实现，先查出一个SQL数据，然后通过id拼装in查询出数据。

开发环境

MySQL 10.1.38-MariaDB-1~bionic
Python3.7.8

开发工具

PyCharm2018.1
SmartGit18.1
Navicat15.0.28

先引入一些依赖，主要有pandas和pymysql

Pandas 是基于 BSD 许可的开源支持库，为 Python 提供了高性能、易使用的数据结构与数据分析工具。
Pymysql：PyMySQL是从Python连接到MySQL数据库服务器的接口。它实现了Python数据库API v2.0，并包含一个纯Python的MySQL客户端库

import pandas as pd
import warnings

import pymysql

先进行数据库配置，需要引入pymysql，封装一个连接数据库的函数

# 数据库配置
MYSQL_HOST_ITEM = '127.0.0.1'
MYSQL_PORT_ITEM = 3306
MYSQL_USER_ITEM = 'root'
MYSQL_PASSWORD_ITEM = '11'
MYSQL_DATABASE_ITEM = 'test'
MYSQL_CHARSET_ITEM = 'utf8'

# 定义连接mysql函数
def connetmysql(host, port, user, password, database, sql, charset='utf8'):
    conn = pymysql.connect(host=host,
                           port=port,
                           user=user,
                           password=password,
                           database=database,
                           charset=charset)
    cursor = conn.cursor()
    sql = """%s""" % sql
    # 遇到时间格式自动解析
    df_mysql = pd.read_sql(sql, conn, parse_dates=True)
    df_mysql.columns = [x.lower() for x in df_mysql.columns]
    cursor.close()
    return df_mysql

先查询出ids

def readPlatformDept():
    sql_script = '''
      SELECT id from t1
    '''
    sql_data = connetmysql(host=MYSQL_HOST_PLATFORM, port=MYSQL_PORT_PLATFORM,
                                            user=MYSQL_USER_PLATFORM,
                                            password=MYSQL_PASSWORD_PLATFORM, sql=sql_script,
                                            database=MYSQL_DATABASE_PLATFORM)
    return sql_data

通过ids 使用in查询

def readItemDeptNum(codes):
    sql_script = '''SELECT
      *
    FROM
        t2
        code in ({codes})
        '''.format(codes=', '.join("'" + item + "'" for item in codes))
    # sql_script = sql_script % ','.join(['%s']*len(tongyicodes))
    sql_data = connetmysql(host=MYSQL_HOST_ITEM, port=MYSQL_PORT_ITEM,
                           user=MYSQL_USER_ITEM,
                           password=MYSQL_PASSWORD_ITEM, sql=sql_script,
                           database=MYSQL_DATABASE_ITEM)

    return sql_data

main函数进行调用

if __name__ == "__main__":
    platform_data = readPlatformDept()
    item_data = readItemDepNum(platform_data['id'])
    # 导出Excel
    item_data.to_excel('item_query_excel.xlsx')

import pandas as pd
import warnings

import pymysql

warnings.filterwarnings("ignore")

# Platform配置
MYSQL_HOST_PLATFORM = '127.0.0.1'
MYSQL_PORT_PLATFORM = 3306
MYSQL_USER_PLATFORM = 'root'
MYSQL_PASSWORD_PLATFORM = '111'
MYSQL_DATABASE_PLATFORM = 'test'
MYSQL_CHARSET_PLATFORM = 'utf8'
# ITEM配置
MYSQL_HOST_ITEM = '127.0.0.1'
MYSQL_PORT_ITEM = 33306
MYSQL_USER_ITEM = 'root'
MYSQL_PASSWORD_ITEM = '111'
MYSQL_DATABASE_ITEM = 'item'
MYSQL_CHARSET_ITEM = 'utf8'

# 定义连接mysql函数
def connetmysql(host, port, user, password, database, sql, charset='utf8'):
    conn = pymysql.connect(host=host,
                           port=port,
                           user=user,
                           password=password,
                           database=database,
                           charset=charset)
    cursor = conn.cursor()
    sql = """%s""" % sql
    # 遇到时间格式自动解析
    df_mysql = pd.read_sql(sql, conn, parse_dates=True)
    df_mysql.columns = [x.lower() for x in df_mysql.columns]
    cursor.close()
    return df_mysql


def readPlatformDept():
    sql_script = '''
      SELECT id from t1
    '''
    sql_data = connetmysql(host=MYSQL_HOST_PLATFORM, port=MYSQL_PORT_PLATFORM,
                                            user=MYSQL_USER_PLATFORM,
                                            password=MYSQL_PASSWORD_PLATFORM, sql=sql_script,
                                            database=MYSQL_DATABASE_PLATFORM)
    return sql_data

def readItemDeptNum(codes):
    sql_script = '''SELECT
      *
    FROM
        t2
        code in ({codes})
        '''.format(codes=', '.join("'" + item + "'" for item in codes))
    # sql_script = sql_script % ','.join(['%s']*len(tongyicodes))
    sql_data = connetmysql(host=MYSQL_HOST_ITEM, port=MYSQL_PORT_ITEM,
                           user=MYSQL_USER_ITEM,
                           password=MYSQL_PASSWORD_ITEM, sql=sql_script,
                           database=MYSQL_DATABASE_ITEM)

    return sql_data

if __name__ == "__main__":
    platform_data = readPlatformDept()
    item_data = readItemDepNum(platform_data['id'])
    item_data.to_excel('item_query_excel.xlsx')

然后程序就写好了，需要写一个shell脚本启动一些python