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Enhance k8s tutorial (#7366)

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* add driver log

* update

* minor
This commit is contained in:
Kai Huang 2023-01-29 17:45:55 +08:00 committed by GitHub
parent 61f25b1a6c
commit 4568403d47
1 changed files with 19 additions and 3 deletions
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docs/readthedocs/source/doc/Orca/Tutorial/k8s.md
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@ -50,7 +50,23 @@ For k8s-client, the Spark driver runs in the client process (outside the K8s clu
Please see more details in [K8s-Cluster](https://spark.apache.org/docs/latest/running-on-kubernetes.html#cluster-mode) and [K8s-Client](https://spark.apache.org/docs/latest/running-on-kubernetes.html#client-mode). Please see more details in [K8s-Cluster](https://spark.apache.org/docs/latest/running-on-kubernetes.html#cluster-mode) and [K8s-Client](https://spark.apache.org/docs/latest/running-on-kubernetes.html#client-mode).
For **k8s-cluster** mode, a `driver-pod-name` will be returned when the application is completed. You can retrieve the results on the __Develop Node__ following the commands below: For **k8s-cluster** mode, a `driver-pod-name` (`train-py-fc5bec85fca28cb3-driver` in the following log) will be returned when the application is completed.
```
23-01-29 08:34:47 INFO LoggingPodStatusWatcherImpl:57 - Application status for spark-9341aa0ec6b249ad974676c696398b4e (phase: Succeeded)
23-01-29 08:34:47 INFO LoggingPodStatusWatcherImpl:57 - Container final statuses:
container name: spark-kubernetes-driver
container image: intelanalytics/bigdl-k8s:latest
container state: terminated
container started at: 2023-01-29T08:26:56Z
container finished at: 2023-01-29T08:35:07Z
exit code: 0
termination reason: Completed
23-01-29 08:34:47 INFO LoggingPodStatusWatcherImpl:57 - Application train.py with submission ID default:train-py-fc5bec85fca28cb3-driver finished
23-01-29 08:34:47 INFO ShutdownHookManager:57 - Shutdown hook called
23-01-29 08:34:47 INFO ShutdownHookManager:57 - Deleting directory /tmp/spark-fa8eeb45-bebf-4da9-9c0b-8bb59543842d
```
You can retrieve the results of the driver pod on the __Develop Node__ following the commands below:
* Retrieve the logs on the driver pod: * Retrieve the logs on the driver pod:
```bash ```bash
@ -306,11 +322,11 @@ conda pack -o environment.tar.gz
```bash ```bash
docker cp <containerID>:/path/to/environment.tar.gz /bigdl/nfsdata docker cp <containerID>:/path/to/environment.tar.gz /bigdl/nfsdata
``` ```
2. Upload the example Python file to NFS. 2. Upload the Python script (`train.py` in our example) to NFS.
```bash ```bash
cp /path/to/train.py /bigdl/nfsdata cp /path/to/train.py /bigdl/nfsdata
``` ```
3. Upload the extra Python dependency files to NFS. 3. Upload the extra Python dependency files (`model.py` in our example) to NFS.
```bash ```bash
cp /path/to/model.py /bigdl/nfsdata cp /path/to/model.py /bigdl/nfsdata
``` ```