I have been working a lot with Oracle’s GoldenGate the last year or so and i am loving the product more and more. I really enjoy it’s modulair format where you can actually form it into exactly the thing that you need. However one thing about working with GoldenGate is something that always annoyed me a bit: There is no good way of finding out where the binaries are if the GoldenGate processes are not running. Coming from an Oracle database background, i am used to an oratab file or a cluster registry to see where a database is running (or not running).
Recently i had to reimage a couple of Exadata compute nodes for different reasons like an almost simultaneous failure of 2 harddisks in the compute node.
A lot of customers of mine who are starting with Oracle Golden Gate have issues when it comes to troubleshooting Golden Gate. It is the most common question i get: “I have setup Golden Gate, it was working fine but now process X abandoned… now what do i do?”. The OGG error log is a good starting point but is not always showing the real issue. There are a lot different way to obtain more information on why you are running into an issue. In this blogpost i want to introduce a maybe not so well known feature called Golden Gate Activity Logging Tracing and yes that is how they are really calling this feature.
In my previous 2 blogposts i explained how to setup a Vagrantfile that deploys 2 virtualbox machines that can be used as a basis for a RAC cluster and how you could use Ansible to deploy RAC on those VM’s. In this post i want to dive a bit deeper into how i setup Ansible and why, keep in mind that this just one way of doing this.
Creating your own test VM environment with RAC is a fun exercise to do, however after you have rebuild your environment a couple of times this will get a very tiresome exercise and you want to start to automate your deployments. People have already written several blogposts about the GI and RDBMS orchestrations and the several tools that are available for this. Within the Oracle community Ansible seems to be a very popular choice for the part of getting your test environment up-and-running. But what about the part to get your VM up-and-running, a very repetitive task and not a very interesting task to say the least.
I have been patching engineered systems since the launch of the Exadata V2 and recently i had the opportunity to patch the BDA we have in house. As far as comparisons go, this is were the similarities stop between Exadata and a Big Data Appliance (BDA) patching.
Our BDA is a so called startes rack consisting of 6 nodes running a hadoop cluster, for more information about this read my First Impressions blog post. On Exadata patching consist of a whole set of different patches and tools like patchmgr and dbnodeupdate.sh, on the Big Data Appliance we are patching with a tool called Mammoth. In this blogpost we will use the the upgrade from BDA software release 4.0 to 4.1 as an example to describe the patching process. You can download the BDA Mammoth bundle patch through DocID 1485745.1 (Oracle Big Data Appliance Patch Set Master Note). This patchset contains of 2 zipfiles which you should upload to your primary node in the cluster (usually node number 1 or 7), if you are not sure which node to use, you can use bdacli to find out which node you should use:
The last 2 weeks we are lucky enough to have the Big Data Appliance (BDA) from Oracle in our lab/demo environment at VX Company and iRent. In this blog post i am trying to share my first experiences and some general observations. I am coming from an Oracle (Exadata) RDBMS background so i will probably reflect some of that experience on the BDA. The BDA we got here at is a starters rack which consists of 6 stock X4-2 servers, which have 2 sockets, 8 core Intel Xeon E5-2650 processors:
Most of the talk about Oracle’s release of 188.8.131.52 is about the InMemory feature, but more things have changed, for example some essential things about loggin in the Grid Infrastructure have changed. Normally in Oracle Grid Infrastructure logging for Grid components was done in $GI_HOME:
There are already a lot of blogposts and presentations done about Hybrid Columnar Compression and i am adding one more blogpost to that list. Recently i was doing some small tests one HCC and noticed that that inserts on a HCC row didn’t got compressed and yes i was using direct path loads: