How can I read data from AWS- Aurora postgresql as python pandas DataFrame and write the same to Oracle table?

Question

我需要讀取 AWS-Aurora 表並將內容寫入 Oracle 表。 我的代碼是-

import pandas as pd
import psycopg2
from sqlalchemy import types, create_engine
import cx_Oracle
import sys

**# Connect to Aurora**
host = sys.argv[1]
username = sys.argv[2]
password = sys.argv[3]
database = sys.argv[4]

db_conn = psycopg2.connect(host=host, database=database, user=username, password=password)
sql = "SELECT * FROM Table_Name;"
data_df = pd.io.sql.read_sql(sql, db_conn)
print(data_df.head(2))
db_conn.close()

# Connect to Oracle and write data_df  dataframe
dsn = cx_Oracle.makedsn('10.z.y.xx', '1521', service_name='abcd')
u_name = sys.argv[5]
pwd = sys.argv[6]

conn = cx_Oracle.connect(user=u_name, password=pwd, dsn=dsn)
ora_engine = create_engine(f'oracle+cx_oracle://{u_name}:{pwd}@{dsn}', echo=True)
ora_engine.connect()
data_df.to_sql(name='oracle_table_name', con=conn)
conn.close()

連接到 Aurora 工作正常，但我無法在 Oracle 中創建引擎並寫入數據幀！

Answer 1

代碼是正確的，由於配置了大量數據和低 RAM，它失敗了。

謝謝。