[英]Using a Python dict for a SQL INSERT statement for CX_ORACLE
將Python中的cx_Oracle
驅動程序轉換為SQL插入的字典
custom_dictionary= {'ID':2, 'Price': '7.95', 'Type': 'Sports'}
我需要從自定義字典為cx_Oracle
驅動程序制作動態代碼sql插入
con = cx_Oracle.connect(connectString)
cur = con.cursor()
statement = 'insert into cx_people(ID, Price, Type) values (:2, :3, :4)'
cur.execute(statement, (2, '7.95', 'Sports'))
con.commit()
如果您要插入一組已知的列,只需使用帶有命名參數的insert
並將字典傳遞給execute()
方法。
statement = 'insert into cx_people(ID, Price, Type) values (:ID, :Price, :Type)'
cur.execute(statement,custom_dictionary)
如果列是動態的,則使用鍵和參數構造insert
語句,並將其放入類似的execute
cols = ','.join( list(custom_dictionary.keys() ))
params= ','.join( ':' + str(k) for k in list(custom_dictionary.keys()))
statement = 'insert into cx_people(' + cols +' ) values (' + params + ')'
cur.execute(statement,custom_dictionary)
您可以使用pandas.read_json
法遍歷所有名單通過換算值dataframe
:
import pandas as pd
import cx_Oracle
con = cx_Oracle.connect(connectString)
cursor = con.cursor()
custom_dictionary= '[{"ID":2, "Price": 7.95, "Type": "Sports"}]'
df = pd.read_json(custom_dictionary)
statement='insert into cx_people values(:1,:2,:3)'
df_list = df.values.tolist()
n = 0
for i in df.iterrows():
cursor.execute(statement,df_list[n])
n += 1
con.commit()
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