如何使用Python从远程MySQL主机获取CSV格式的所有数据？

我知道使用mysqldump或选择*进入OUTFILE相当容易。。方法将所有数据从MySQL数据库中获取到本地目录中，但如何使用Python和远程MySQL主机实现类似的功能

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远程位置没有服务器目录，因此无法将其转储到服务器上。我需要将csv直接发送到我的计算机。

考虑使用模块和模块迭代所有表并将行和列写入外部csv文件（另存为表名）的两种方法之一。两者都使用该包远程连接到MySQL，但任何MySQL数据库API都可以工作

CSV模块

import os
import csv
import pymysql

# CURRENT DIRECTORY OF SCRIPT
cd = os.path.dirname(os.path.abspath(__file__))

# OPEN DATABASE CONNECTION
db = pymysql.connect(host="localhost", port=####, db="databasename",
                     user="username", passwd="*****") 
cur = db.cursor() 
# OBTAIN ALL TABLES
cur.execute("SHOW TABLES;")
tables = cur.fetchall()            

for t in tables:
    columns = []
    cur.execute("SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS \
                 WHERE table_name = '{0}';".format(t[0]))        

    with open(os.path.join(cd, '{0}.csv'.format(t[0])), 'w', newline='') as f:
        writer = csv.writer(f)
        # COLUMNS    
        for col in cur.fetchall():
            columns.append(col[0])  
        writer.writerow(columns)    

        # ROWS
        cur.execute("SELECT * FROM {0};".format(t[0]))            
        for row in cur.fetchall():
            writer.writerow(row)
    f.close()
# CLOSE CURSOR AND DATABASE CONNECTION    
cur.close()
db.close()

import os
import pandas as pd
import pymysql

cd = os.path.dirname(os.path.abspath(__file__))

# OPEN DATABASE CONNECTION
db = pymysql.connect(host="localhost", port=####, db="databasename",
                     user="username", passwd="*****") 
cur = db.cursor() 
# OBTAIN ALL TABLES
cur.execute("SHOW TABLES;")
tables = cur.fetchall()            

for t in tables:
    columns = []
    # IMPORT DATA TO DATA FRAME 
    df = pd.read_sql("SELECT * FROM {0};".format(t[0]), db)

    # EXPORT DATA FRAME TO CSV
    df.to_csv(os.path.join(cd, '{0}.csv'.format(t[0])), index=False)

# CLOSE CURSOR AND DATABASE CONNECTION    
cur.close()
db.close()

熊猫模块

import os
import csv
import pymysql

# CURRENT DIRECTORY OF SCRIPT
cd = os.path.dirname(os.path.abspath(__file__))

# OPEN DATABASE CONNECTION
db = pymysql.connect(host="localhost", port=####, db="databasename",
                     user="username", passwd="*****") 
cur = db.cursor() 
# OBTAIN ALL TABLES
cur.execute("SHOW TABLES;")
tables = cur.fetchall()            

for t in tables:
    columns = []
    cur.execute("SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS \
                 WHERE table_name = '{0}';".format(t[0]))        

    with open(os.path.join(cd, '{0}.csv'.format(t[0])), 'w', newline='') as f:
        writer = csv.writer(f)
        # COLUMNS    
        for col in cur.fetchall():
            columns.append(col[0])  
        writer.writerow(columns)    

        # ROWS
        cur.execute("SELECT * FROM {0};".format(t[0]))            
        for row in cur.fetchall():
            writer.writerow(row)
    f.close()
# CLOSE CURSOR AND DATABASE CONNECTION    
cur.close()
db.close()

import os
import pandas as pd
import pymysql

cd = os.path.dirname(os.path.abspath(__file__))

# OPEN DATABASE CONNECTION
db = pymysql.connect(host="localhost", port=####, db="databasename",
                     user="username", passwd="*****") 
cur = db.cursor() 
# OBTAIN ALL TABLES
cur.execute("SHOW TABLES;")
tables = cur.fetchall()            

for t in tables:
    columns = []
    # IMPORT DATA TO DATA FRAME 
    df = pd.read_sql("SELECT * FROM {0};".format(t[0]), db)

    # EXPORT DATA FRAME TO CSV
    df.to_csv(os.path.join(cd, '{0}.csv'.format(t[0])), index=False)

# CLOSE CURSOR AND DATABASE CONNECTION    
cur.close()
db.close()

尝试