Oracle ORION is a powerful tool for evaluating realistic OLTP and DSS/DW I/O performance. ORION should be a part of every Oracle professional's toolkit for build QA and performance tuning. I've previously used it on this blog to show the performance of Amazon's hi1.4lxarge SSD-backed instances and newer hs1.8xlarge instances with 117GB of RAM and 48TB of
Benchmarking I/O with Oracle ORION is an important part of planning, baselining, and performance-tuning Oracle environments. I've previously provided ORION results for the hi1.4xlarge SSD-backed instance class, and based on some recent work, I wanted to provide an update for the newer hs1.8xlarge instance class. Below you'll find hs1.8xlarge Oracle ORION benchmark results with the following
Throughput, throughput, throughput - for many databases, this is the performance measure of importance. When you are working with a fixed number of IOPS but see mixed workload types, system health can be assessed through the average read and write operation size. In an ASM environment, we can query this information by ASM disk
How long does your Oracle RMAN backup take to complete? How does this vary over time? Are there patterns by week, week of month, or day of week? The gist below can help you evaluate questions like these. If you're interested in using R with Oracle more generally, check out this previous post
I'll be giving a talk tonight on automated Oracle database deployment at the SouthEast Michigan Oracle Professionals (SEMOP) Meetup Group. While I'll be following up on this post later, I wanted to share the slides and Github repository for participants to follow along: Automating Oracle Database deployment with Amazon Web Services, fabric, and boto from mjbommar Github
In many circumstances, you might want to connect R directly to a database to store and retrieve data. If the source database is an Oracle database, you have a number of options: ROracle RODBC RJDBC Using ROracle should theoretically provide you with the best performing client, as this library is a wrapper around the
In a typical Oracle database implementation, you'll want to baseline or benchmark your storage. The storage team will hand over, and you'll run a battery of tests using software like bonnie++ or ORION. You'll make sure that the results are in-line with requirements and expectations. What if you are implementing said database on
Did you find this post useful? Does your organization need Oracle services? We can help. Much of this morning went into investigating strange ADDM reports on a two-node Oracle RAC database. For some reason, there were statistically improbable differences between impact percentages that have persisted over a month; in this case, instance 2 would
In our last post on cloud architectures, I covered a simple one-node Oracle Transportation Management instance on Amazon Web Services using EC2. This OTM cloud hosting configuration is well-suited to a development environment and is a very inexpensive option for teams that have on-staff database administration skills. For teams that do not have the
As I mentioned on Monday, I'll be starting a series of posts on Oracle Transportation Management (OTM) in the cloud. In the first stage of these posts, I'll be covering the set of feasible architectures given the infrastructure offerings at Amazon Web Services. And, as you might expect, we'll be starting with the simplest
