--Gehen Sie über Pandas zu MySQL
import pandas as pd
from sqlalchemy import create_engine
import sqlalchemy as sa
import sys
import datetime
class MySqlPandas():
def __init__(self):
self.engine = create_engine('mysql+pymysql://{USER}:{PASSWORD}@{HOST}:{PORT}/{DB NAME}')
def sesStoreData(self):
sql = '''
SELECT
tb.hoge1
, tb.hoge2
, tb.hoge3
FROM
table tb
;
'''
df = pd.read_sql_query(sql, self.engine)
df.to_csv('ses_table_' + str(datetime.date.today()) + '.tsv', sep='\t')
def insStoreData(self):
df_ins = pd.read_csv('all_table.tsv', delimiter='\t')
df_ins_new = df_ins.rename(columns={'hoge1': 'col1', 'hoge2': 'col2', 'hoge3': 'col3'})
df_ins_new.to_sql('store_master', self.engine, index=False, if_exists='append') #Vollständiger Ersatz ist wenn_exists='replace'
if __name__ == '__main__':
myp = MySqlPandas()
# myp.sesStoreData()Ausführung auswählen
myp.insStoreData()Ausführung einfügen