Alessio02/03/2021, 4:10 PM
but I’m getting stuck at pulling images. Just updated and restarted Docker too 🤔 Do I need to sign in to bypass the DockerHub rate limit?
Alessio02/03/2021, 8:39 PM
something in my environment, but it says I don’t have privileges. I even tried
like the docs suggest, but same issue. Am I missing something?
apt install vim
WARNING: apt does not have a stable CLI interface. Use with caution in scripts. E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied) E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
This release introduces the concept of Environment variables 📇 to Orchest! With its introduction we're deprecating and removing Data sources.
We've been testing Orchest and listening to feedback 📣. As a result we discovered everybody handles data sources slightly differently in their workflow. We want Orchest to be helpful, but allow for flexibility in for example the choice of the data source connector (e.g. Python offers various Postgres database connectors).
Environment variables allow for simple and effective secret passing (e.g. hostnames, passwords, usernames) to make it easy to connect and configure your favorite data sources.
In addition, this release includes many UI/UX improvements. Such as a dedicated project settings pane, and a cleaned up ✨ job pane.https://github.com/orchest/orchest/releases/tag/v0.8.0
Médéric Descazeaux02/12/2021, 11:05 AM
I can run the scripts from the pipeline view, and I have successfully tried
Error attempting to connect to Gateway server url '<http://jupyter-EG-someid:8888>'. Ensure gateway url is valid and the Gateway instance is running.
from orchest-api container to check connectivity. Do you have pointers to help me out?
Marcelo Felippe Guimarães02/19/2021, 2:28 AM
. But it always return this message for me:
I repeated the cycle many times, installing it again but it always returns the same massage. However, when I run
Before starting Orchest, make sure Orchest is installed. Run: orchest install
it returns to me the version v0.8.0. I'd appreciate a lot if someone can help me with this. Below is the execution cycle in my terminal.
ubuntu@ip-:~/orchest$ ./orchest start Before starting Orchest, make sure Orchest is installed. Run: orchest install ubuntu@ip-172-31-53-217:~/orchest$ ./orchest install Some images have been pulled before. Don't forget to run: orchest update after the installation is finished to ensure that all images are running the same version of Orchest. Installing Orchest... Pulling images: 6/6|###################################################| ubuntu@ip-:~/orchest$ ./orchest update latest: Pulling from orchest/orchest-ctl Digest: sha256:9c6a3beb21f4fbb6f244881ec6643bfd07306e18c86729b9ee4fe385f5cf0af3 Status: Image is up to date for orchest/orchest-ctl:latest <http://docker.io/orchest/orchest-ctl:latest|docker.io/orchest/orchest-ctl:latest> Updating... From <https://github.com/orchest/orchest> * branch HEAD -> FETCH_HEAD Already up to date. HEAD is up to date. From <https://github.com/orchest/orchest> * branch HEAD -> FETCH_HEAD Pulling images: 8/8|###################################################| Don't forget to restart Orchest for the changes to take effect: orchest restart ubuntu@ip-:~/orchest$ ./orchest start Before starting Orchest, make sure Orchest is installed. Run: orchest install ubuntu@ip-:~/orchest$ ./orchest version Orchest version: v0.8.0
We are very proud of this release and we call it: The Big One 🔥.
This release introduces a massive new feature to Orchest: full URL deep linking support. Easy back/forward browser navigation to open the right views in your browser. Reloading the URL and directly opening the right view. Furthermore, environment build dependent actions (e.g. running a job, or interactive pipeline editing) are more automated: no more hard choices to make when builds complete.
In addition, we now support running an exhaustive debug dump using the simplecommand. This will make troubleshooting much easier for both the users & developers. Many tests were added to the
orchest debugtest suite for much improved reliability thanks mainly to @fruttasecca.
Finally, many smaller bug fixes and performance improvements were added. Have fun building in Orchest!https://github.com/orchest/orchest/releases/tag/v0.9.0
or update directly from the web UI settings pane. P.S. you might have noticed we switched to CalVer (calver.org). This sets better expectations about what the version means, and doesn't mean. P.P.S. you might not have seen it yet, but we now have full support for JupyterLab extensions, including server extensions. Test it out, and let us know which extensions are you favorite. We are big fans of https://pypi.org/project/jupyterlab-git/!
Check it out in our quickstart repo https://github.com/orchest/quickstart
Arman Khalatyan03/24/2021, 9:22 PM
This release brings a UI refactor for managing your pipeline sessions. We simplify the session management between the JupyterLab and Pipeline view by moving it to the top header bar.
In addition, we have a number of quality of life, performance and bug fixes. Enjoy!https://github.com/orchest/orchest/releases/tag/v2021.03.6
Jean03/29/2021, 2:48 PM
Ian Yu04/18/2021, 2:45 AM
This new release brings an exciting new feature to Orchest: real-time collaboration 🤝 in JupyterLab. It's made possible by the awesome work from the Jupyter core team and yjs.
In addition we have done some internal refactoring to improve the extensibility of the codebase, and as a result there are numerous improvements to stability and performance.
We can't wait to see you build more awesome data pipelines with this release!https://github.com/orchest/orchest/releases/tag/v2021.05.0 Hi all! Today we have a new release. Check it out if you want to see "spooky action at a distance" (real-time colab in JupyterLab baked into Orchest that is).
Should be all you need. Or use the web updater in Orchest itself (Global settings -> Update).
Shrikant Karve05/28/2021, 2:25 PM
📣 This release introduces a major new feature to Orchest: Services ✨
Services allow you to easily integrate your favorite data science applications without any hassle. Simply use one of the existing service templates to add to your Orchest pipeline:
- and even VS Code!
After adding a service to a pipeline it will show up in your pipeline editor (see attached image).
If you want to start exploring services, simply import theproject to Orchest. Make sure you upgrade Orchest to the latest version by running:
We can't wait to see what ideas you come up with 🤩!
You can find more details in the Services docs, including how to set up your own custom services.https://github.com/orchest/orchest/releases/tag/v2021.06.0
maotai zou06/23/2021, 9:17 AM
or update through the web UI. One of the core improvements is the conversion of the job scheduler to a managed daemon process to support auto restarting of the worker processes. ➡️ In short: more robust job execution 🔥
Amer Haider07/05/2021, 6:34 PM
Charly Wargnier07/05/2021, 9:05 PM
Tarun Singh08/09/2021, 1:38 PM
Abid08/11/2021, 2:53 PM