Writing to Oracle: TypeError: expecting string or bytes object
Writing to Oracle: TypeError: expecting string or bytes object
我一直为此伤脑筋。我试图将 65000 多行和 51 列推送到 oracle DB,但我最终收到类型错误。有没有办法找出这个错误来自哪一列,以便我进行调试。
另一个问题 - python dataframe 中的数据类型“Object”是否可以读取为 Oracle 中的 'Number' Dtype?
Traceback (most recent call last):
File "c:\users\so-go- activating strategic people capability - deliverable files\ finance\codes-to_use\s1_3_supply_forecasting_input_revamped.py", line 160, in <module>
hcar.to_sql('HISTORICAL_HCAR', engine, if_exists='append', index=False,schema='HIM_PA_EXTERN_PROD_FIN',dtype=dtyp)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\core\generic.py", line 2605, in to_sql
sql.to_sql(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\io\sql.py", line 589, in to_sql
pandas_sql.to_sql(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\io\sql.py", line 1398, in to_sql
table.insert(chunksize, method=method)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\io\sql.py", line 830, in insert
exec_insert(conn, keys, chunk_iter)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\io\sql.py", line 747, in _execute_insert
conn.execute(self.table.insert(), data)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1011, in execute
return meth(self, multiparams, params)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\sql\elements.py", line 298, in _execute_on_connection
return connection._execute_clauseelement(self, multiparams, params)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1124, in _execute_clauseelement
ret = self._execute_context(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1316, in _execute_context
self._handle_dbapi_exception(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1514, in _handle_dbapi_exception
util.raise_(exc_info[1], with_traceback=exc_info[2])
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\util\compat.py", line 182, in raise_
raise exception
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1256, in _execute_context
self.dialect.do_executemany(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\dialects\oracle\cx_oracle.py", line 1182, in do_executemany
cursor.executemany(statement, parameters)
TypeError: expecting string or bytes object
遗憾的是,Oracle 不会告诉您是哪一列导致了错误。所以这是一个 Python / cx_Oracle 问题,而不是真正的 Oracle 问题。我假设当你说“dataframe”时,你的意思是 Pandas dataframe,而不是 PySpark/Dask/Veux/etc.
关于 Pandas 个数据帧的错误 similar 。问题通常是 Pandas 数据框列有一个 dtype
,但 行不必全部匹配该类型 - object
列将每行允许不同的类型。
# example - an int, a float, and a str in the same column
pd.DataFrame([12, np.NaN, 'hi'], columns=['ABC'])
当您(或 sqlalchemy)使用 executemany()
时,所有行都必须具有相同的匹配列类型集。
You can check the types in a single column 通过使用:
df['ABC'].map(type)
因此,您可以使用类似以下内容一次检查数据框中的所有列:
df.applymap(type).nunique()
显示每列包含的类型数。任何大于 1 的列都可能导致此错误。在发送到 Oracle 之前使用 df['ABC'].astype(str)
或 df['ABC'].fillna('')
修复它。
我一直为此伤脑筋。我试图将 65000 多行和 51 列推送到 oracle DB,但我最终收到类型错误。有没有办法找出这个错误来自哪一列,以便我进行调试。
另一个问题 - python dataframe 中的数据类型“Object”是否可以读取为 Oracle 中的 'Number' Dtype?
Traceback (most recent call last):
File "c:\users\so-go- activating strategic people capability - deliverable files\ finance\codes-to_use\s1_3_supply_forecasting_input_revamped.py", line 160, in <module>
hcar.to_sql('HISTORICAL_HCAR', engine, if_exists='append', index=False,schema='HIM_PA_EXTERN_PROD_FIN',dtype=dtyp)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\core\generic.py", line 2605, in to_sql
sql.to_sql(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\io\sql.py", line 589, in to_sql
pandas_sql.to_sql(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\io\sql.py", line 1398, in to_sql
table.insert(chunksize, method=method)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\io\sql.py", line 830, in insert
exec_insert(conn, keys, chunk_iter)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\pandas\io\sql.py", line 747, in _execute_insert
conn.execute(self.table.insert(), data)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1011, in execute
return meth(self, multiparams, params)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\sql\elements.py", line 298, in _execute_on_connection
return connection._execute_clauseelement(self, multiparams, params)
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1124, in _execute_clauseelement
ret = self._execute_context(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1316, in _execute_context
self._handle_dbapi_exception(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1514, in _handle_dbapi_exception
util.raise_(exc_info[1], with_traceback=exc_info[2])
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\util\compat.py", line 182, in raise_
raise exception
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\engine\base.py", line 1256, in _execute_context
self.dialect.do_executemany(
File "C:\ProgramData\Anaconda3-2020.11\lib\site-packages\sqlalchemy\dialects\oracle\cx_oracle.py", line 1182, in do_executemany
cursor.executemany(statement, parameters)
TypeError: expecting string or bytes object
遗憾的是,Oracle 不会告诉您是哪一列导致了错误。所以这是一个 Python / cx_Oracle 问题,而不是真正的 Oracle 问题。我假设当你说“dataframe”时,你的意思是 Pandas dataframe,而不是 PySpark/Dask/Veux/etc.
关于 Pandas 个数据帧的错误 dtype
,但 行不必全部匹配该类型 - object
列将每行允许不同的类型。
# example - an int, a float, and a str in the same column
pd.DataFrame([12, np.NaN, 'hi'], columns=['ABC'])
当您(或 sqlalchemy)使用 executemany()
时,所有行都必须具有相同的匹配列类型集。
You can check the types in a single column 通过使用:
df['ABC'].map(type)
因此,您可以使用类似以下内容一次检查数据框中的所有列:
df.applymap(type).nunique()
显示每列包含的类型数。任何大于 1 的列都可能导致此错误。在发送到 Oracle 之前使用 df['ABC'].astype(str)
或 df['ABC'].fillna('')
修复它。