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Code Issues Projects Releases Wiki Activity

consolidating elasticsearch details

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simon 2021-10-26 18:38:43 +07:00
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CONTRIBUTING.md
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@ -11,7 +11,7 @@ If the issue doesn't move forward due to a lack of response, I assume it's solve
## Wiki ## Wiki
WIP: The wiki is where all user functions are explained in detail. These pages are mirrored into the **docs** folder of the repo. This allows for pull requests and all other features like regular code. Make any changes there, and I'll sync them with the wiki tab. The wiki is where all user functions are explained in detail. These pages are mirrored into the **docs** folder of the repo. This allows for pull requests and all other features like regular code. Make any changes there, and I'll sync them with the wiki tab.
## Development Environment ## Development Environment
@ -20,7 +20,6 @@ I have learned the hard way, that working on a dockerized application outside of
This is my setup I have landed on, YMMV: This is my setup I have landed on, YMMV:
- Clone the repo, work on it with your favorite code editor in your local filesystem. *testing* branch is the where all the changes are happening, might be unstable and is WIP. - Clone the repo, work on it with your favorite code editor in your local filesystem. *testing* branch is the where all the changes are happening, might be unstable and is WIP.
- Then I have a VM on KVM hypervisor running standard Ubuntu Server LTS with docker installed. The VM keeps my projects separate and offers convenient snapshot functionality. The VM also offers ways to simulate lowend environments by limiting CPU cores and memory. But you could also just run docker on your host system. - Then I have a VM on KVM hypervisor running standard Ubuntu Server LTS with docker installed. The VM keeps my projects separate and offers convenient snapshot functionality. The VM also offers ways to simulate lowend environments by limiting CPU cores and memory. But you could also just run docker on your host system.
- Additionally to the required services as listed in the example docker-compose file, the **Dev Tools** of [Kibana](https://www.elastic.co/guide/en/kibana/current/docker.html) are invaluable for running and testing Elasticsearch queries.
- The `Dockerfile` is structured in a way that the actual application code is in the last layer so rebuilding the image with only code changes utilizes the build cache for everything else and will take just 2-3 secs. - The `Dockerfile` is structured in a way that the actual application code is in the last layer so rebuilding the image with only code changes utilizes the build cache for everything else and will take just 2-3 secs.
- Take a look at the `deploy.sh` file. I have my local DNS resolve `tubearchivist.local` to the IP of the VM for convenience. To deploy the latest changes and rebuild the application to the testing VM run: - Take a look at the `deploy.sh` file. I have my local DNS resolve `tubearchivist.local` to the IP of the VM for convenience. To deploy the latest changes and rebuild the application to the testing VM run:
```bash ```bash
@ -30,6 +29,11 @@ This is my setup I have landed on, YMMV:
- The `test` argument takes another optional argument to build for a specific architecture valid options are: `amd64`, `arm64` and `multi`, default is `amd64`. - The `test` argument takes another optional argument to build for a specific architecture valid options are: `amd64`, `arm64` and `multi`, default is `amd64`.
- This `deploy.sh` file is not meant to be universally usable for every possible environment but could serve as an idea on how to automatically rebuild containers to test changes - customize to your liking. - This `deploy.sh` file is not meant to be universally usable for every possible environment but could serve as an idea on how to automatically rebuild containers to test changes - customize to your liking.
## Working with Elasticsearch
Additionally to the required services as listed in the example docker-compose file, the **Dev Tools** of [Kibana](https://www.elastic.co/guide/en/kibana/current/docker.html) are invaluable for running and testing Elasticsearch queries.
If you want to run queries in on the Elasticsearch container directly from your host with for example `curl` or something like *postman*, you might want to **publish** the port 9200 instead of just **exposing** it.
## Implementing a new feature ## Implementing a new feature
Do you see anything on the roadmap that you would like to take a closer look at but you are not sure, what's the best way to tackle that? Or anything not on there yet you'd like to implement but are not sure how? Open up an issue and we try to find a solution together. Do you see anything on the roadmap that you would like to take a closer look at but you are not sure, what's the best way to tackle that? Or anything not on there yet you'd like to implement but are not sure how? Open up an issue and we try to find a solution together.