The upcoming SLOB 2.4 release will bring improved data loading error handling. While still using SLOB 2.3, users can suffer data loading failures that may appear–on the surface–to be difficult to diagnose.
Before I continue, I should point out that the most common data loading failure with SLOB in pre-2.4 releases is the concurrent data loading phase suffering lack of sort space in TEMP. To that end, here is an example of a SLOB 2.3 data loading failure due to shortage of TEMP space. Please notice the grep command (in Figure 2 below) one should use to begin diagnosis of any SLOB data loading failure:
While writing the previous two posts about GTTs and Smart Scan, I stumbled across an interesting observation. When I started putting my thoughts to (virtual) paper, I thought it was going to be a short post. Well, it wasn’t to be, again. Anyway, you might find this interesting.
If you read the previous posts this code example I used to populate the GTT might look familiar:
insert /*+ append */ into gtt select * from t4 where rownum < 400000; commit;
In situations like this where I’m moving data I developed a habit of using the append hint. I guess I’ve been working on HCC tables a bit too much and therefore didn’t even make a conscious decision to use that hint. It was the right thing to do, as you will see next.
The full test harness is shown here again for reference:
Continuing the example of the previous blog post (is it possible to Smart Scan GTTs?), I am investigating if Smart Scans against GTTs can benefit from Flash Cache, or “optimised reads”. The easiest way to see this in your session is to calculate the change in session counters based on v$mystat or v$sesstat. Other tools might also provide information about the amount of data read from Flash Cache, but there are quite often extra licenses required …
A question that has come up while preparing to deliver another Exadata Optimisation Class is whether you can offload queries against Global Temporary Tables (GTT) or not. There are subtle differences between heap tables and GTTs such as how statistics are handled and where they are stored that merit a little investigation.
I have used the lab environment on the X3-2 (Exadata 220.127.116.11.0, 18.104.22.168.160419 RDBMS) to test if I can Smart Scan GTTs. There are some enhancements in 12c regarding GTTs that are mentioned on the Optimiser blog here:
One of the things you can do with Pin, is profile memory access. Profiling memory access using the pin tool ‘pinatrace’ is done in the following way:
$ cd ~/pin/pin-3.0-76991-gcc-linux $ ./pin -pid 12284 -t source/tools/SimpleExamples/obj-intel64/pinatrace.so
The pid is a pid of an oracle database foreground process. Now execute something in the session you attached pin to and you find the ‘pinatrace’ output in $ORACLE_HOME/dbs:
This blogpost is an introduction to Intel’s Pin dynamic instrumentation framework. Pin and the pintools were brought to my attention by Mahmoud Hatem in his blogpost Tracing Memory access of an oracle process: Intel PinTools. The Pin framework provides an API that abstracts instruction-set specifics (on the CPU layer). Because this is a dynamic binary instrumentation tool, it requires no recompiling of source code. This means we can use it with programs like the Oracle database executable.
The Pin framework download comes with a set of pre-created tools called ‘Pintools’. Some of these tools are really useful for Oracle investigation and research.
This blogpost is about the Oracle redo log structures and redo efficiency in modern Oracle databases. Actually, a lot of subtle things changed surrounding redo (starting from Oracle 10 actually) which have gone fairly unnoticed. One thing the changes have gone unnoticed for is the Oracle documentation, the description of redo in it is an accurate description for Oracle 9, not how it is working in Oracle 10 or today in Oracle 22.214.171.124.
My test environment is a virtual machine with Oracle Linux 7.2 and Oracle 126.96.36.199.161018, and a “bare metal” server running Oracle Linux 6.7 and Oracle 188.8.131.52.160419. Versions are important, as things can change between versions.
Recently I was asked to analyse the security impact of the snmp daemon on a recent Exadata. This system was running Exadata image version 184.108.40.206.3. This blog article gives you an overview of a lot of the things that surround snmp and security.
First of all what packages are installed doing something with snmp? A list can be obtained the following way:
# rpm -qa | grep snmp net-snmp-utils-5.5-54.0.1.el6_7.1.x86_64 net-snmp-libs-5.5-54.0.1.el6_7.1.x86_64 net-snmp-5.5-54.0.1.el6_7.1.x86_64 sas_snmp-14.02-0103.x86_64
Essentially the usual net-snmp packages and a package called ‘sas_snmp’.
A next important thing is how the firewall is configured. However, the default setting of the firewall on the compute nodes with exadata is the firewall turned off:
I recently tweeted about a comment I’d picked up at the Trivadis performance days regarding tablescans and performance.
“If you can write your SQL in conjunctive normal form it can help the optimizer to offload more predicates”
Inevitably someone asked me if I had an example to demonstrate this – I didn’t, and still don’t really, but here’s an interesting demo based on an example from the Oracle In-Memory blog showing how the optimizer will rearrange your filter predicates before passing them to the tablescan code for evaluation against an inmemory table.
There are many posts about the amount of memory that is taken by the Oracle database executables and the database SGA and PGA. The reason for adding yet another one on this topic is a question I recently gotten, and the complexities which surrounds memory usage on modern systems. The intention for this blogpost is to show a tiny bit about page sharing of linux for private pages, then move on to shared pages, and discuss how page allocation looks like with Oracle ASMM (sga_target or manual memory).
The version of linux in this blogpost is Oracle Linux 7.2, using kernel: 4.1.12-37.6.3.el7uek.x86_64 (UEK4)
The version of the Oracle database software is 220.127.116.11.160719 (july 2016).