![]() I do not see a big difference with or without Rosetta 2. Depending on the workload it is 5 to 10 times slower. The runtime performance of the Database in a Colima container is still bad, compared to my Intel i7 Mac mini and the Oracle Database under Windows on ARM. I like to mount volumes this way because they are easy to share and I can reset the underlying VM without losing data. Mounting a folder as a volume needs a bit of fiddling. Thanks to the prepared database files within the Docker image we can start an Oracle Database quite fast. We can press Ctrl-C once we see this output. It’s easier if we create an internal Docker volume (within the VM) first.Ģ023 - 04 - 16T10 : 28 : 11.697633000Z Completed : ALTER DATABASE OPEN Due to various permission issues, it is not that simple to achieve that directly. We want to create a container with a volume mapped to a local directory. As a result, you do not need to pass the highlighted parameters. You will get the same errors as with the default Docker context. However, it will not be possible to start an Oracle Database. ![]() Providing -arch aarch64 enables Rosetta 2. The x86_64 architecture prohibits the use of Rosetta 2. Use docker context use to change the context. Starting Colima changes the context to colima and stopping it changes it back to default. Most of the settings can be changed, but require a restart of the VM (via colima restart or colima stop followed by colima start). ![]() The configuration of the VM is stored in $HOME/.colima/default/colima.yaml. To improve the performance we use the virtualization framework of macOS 13 vz, enable Rosetta 2 and use the macOS-specific volume mount driver virtiofs. This command produces a VM with 2 CPUs, 4 GB RAM and 60 GB disk space. Run the following command in a terminal window, if you have not installed homebrew already: and the ability to work in a terminal window and execute sudo commands. ![]() Prerequisitesįor the next steps, you will need the following: This means when you work with Colima you do that from the command line. However, Docker Desktop 4.17.0 is not able to see “foreign” contexts. You can change the current context via the docker context command. It’s important to note, that Colima can run side-by-side with Docker Desktop. Secondly, you have more control over the configuration of the virtual machine, and this effectively allows you to run an Oracle Database in a Docker container on a macOS machine with an Apple M-Series chip.Firstly, you can use Colima as a replacement for Docker Desktop.Why do we need an alternative or an additional VM? Well, I see the following reasons: Mostly.ĭocker Desktop provides already a VM. The idea is that we do not need to know that there is a VM behind the scenes. Instead, the context provides a virtual machine and the containers run there. Docker containers do not run natively on macOS. What is Colima?Ĭolima provides an alternative context for Docker containers. I have not used Colima before, however, it sounds like the way to go until Oracle releases their flagship database system for ARM. Gerald mentions also the limitation regarding the Oracle Database Free on Apple M chips and points to Colima. This is super cool, especially in CI environments. Gerald and the team at Oracle managed to allow us to download Oracle software without forcing us to log in and accept some license agreements. Gerald Venzl’s images ( gvenzl/oracle-free) in the flavours thin, regular, full and faststart.Oracle’s official image ( /database/free).There are two distributions for the Docker image: The Oracle Database 23c Free is available as Linux RPM, VirtualBox VM or Docker image. The release date of Oracle Database 23c Free. So, I lived with my Oracle Database under Windows. I tried other solutions based on QEMU like UTM, but the performance was unbearable slow. And the performance was similar to the Oracle Databases that ran in a Docker container on my Mac mini Server with a 2.3 GHz Intel Quad-Core i7. As far as I remember I did not experience a single crash. Microsoft did a tremendous job running Intel-based software under Windows on ARM. My solution was to run Windows on ARM in Parallels Desktop and install the Oracle Database there. However, I like the ability to develop offline and I often need an Oracle Database. Most of my colleagues decided to go with a database instance in the cloud. At that time, the M1 chip had already been on the market for a year and I knew that there were problems when running virtual machines or Docker containers with the Intel x86_64 architecture. I got my MacBook Pro 16″ with an Apple M1 Max chip with 10 cores, 64 GB RAM and 4 TB disk in November 2021.
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