Closed Looongtail closed 2 months ago
I tried just performing the query without pandas involved and found that after the connection is closed and the data destroyed that very little memory is retained. Even just importing pandas without actually using it involved an additional 60 MB. So I'm not sure there is something that needs to be done for oracledb.
Note that you have two copies of the data: the first being the result of the fetch and the second the data frame. Neither of those have been destroyed in your code so it is unsurprising that the amount of memory has increased enormously!
Closing - no activity.
Discussed in https://github.com/oracle/python-oracledb/discussions/286