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sqlldr, direct path loads and concurrency in 12.1 and earlier

I have recently come across an interesting issue related to concurrent data loading into the Oracle database using sqlldr’s direct path mode. Although I investigated the situation on, I found that the same holds true in 19.4 as well when using the defaults. I reconstructed the case, although it is simplified a little to bring the point home.

The environment I used to put this post together is Oracle Restart 19.4.0 on Oracle Linux 7.6.

Test overview

For this test I am running concurrent sqlldr sessions to demonstrate the case. I am conscious of that fact that I could have used external tables, but then I wouldn’t have been able to write this post :)

Assume there’s a table named t2:

The Core Performance Fundamentals Of Oracle Data Warehousing – Data Loading

[back to Introduction] Getting flat file data into your Oracle data warehouse is likely a daily (or more possibly frequent) task, but it certainly does not have to be a difficult one.  Bulk loading data rates are governed by the following operations and hardware resources: How fast can the data be read How fast can data be written out How much CPU power is available I’m always a bit amazed (and depressed) when I hear people complain that their data loading rates are slow and they proceed to tell me things like: The source files reside on a shared NFS filer (or similar) and it has just a single GbE (1 Gigabit Ethernet) network path to the Oracle database host(s). The source files reside on this internal disk volume which consists of a two disk mirror (or a volume with very few spindles). Maybe it’s not entirely obvious so let me spell it out (as I did in this tweet): One can not load data into a database faster than it can be delivered from the source. Database systems must obey the laws of physics! Or putting it another way: Don’t fall victim to slow data loading because of a slow performing data source. [...]