Front knowledge
LOB in Oracle
LOB is used in Oracle to store text logger than 4000.
We don't use Oracle in a OLTP system.
Conside of RT and IO, we choose some other ways to provide log text. For example, CDN.
LOB in cx_Oracle
As mentioned in Some tricks when using cx_Oracle, we must convert LOB to string for each line we fetched.
self._cursor.execute(sql, *args)
def fix_lob(row):
def convert(col):
if isinstance(col, cx_Oracle.LOB):
return str(col)
else:
return col
return [convert(c) for c in row]
return [fix_lob(r) for r in self._cursor]
But it will bring out a significant cost of CPU time in Python, which you chould see later.
Profile
I use CProfile
to profile my Python code. It's very easy to use.
import CProfile
CProfile.run("unittest....")
This is part of my profile.
ncalls tottime percall cumtime percall filename:lineno(function)
209391 1286.084 0.006 1286.559 0.006 DB.py:116(convert)
4630 346.679 0.075 346.679 0.075 {method 'executemany' of 'cx_Oracle.Cursor' objects}
4654 90.788 0.020 90.788 0.020 {method 'commit' of 'cx_Oracle.Connection' objects}
200k times call of convert
cost 2000+ sec. Is't because Python LOB=>str
is very slow.
4k times of commit
and executemany
because of the lag between two servers.