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Prepare release 3.2.1
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lresende committed Mar 2, 2023
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6 changes: 3 additions & 3 deletions docs/source/operators/deploy-distributed.md
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Expand Up @@ -37,12 +37,12 @@ Entries in the remote hosts configuration should be fully qualified domain names
All the kernel *specifications* configured to use the `DistributedProcessProxy` must be on all nodes to which there's a reference in the remote hosts configuration! With YARN cluster node, only the Python and R kernel _packages_ are required on each node, not the entire kernel specification.
```

The following installs the sample `python_distributed` kernel specification relative to the 3.2.0 release on the given node. This step must be repeated for each node and each kernel specification.
The following installs the sample `python_distributed` kernel specification relative to the 3.2.1 release on the given node. This step must be repeated for each node and each kernel specification.

```Bash
wget https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.2.0/jupyter_enterprise_gateway_kernelspecs-3.2.0.tar.gz
wget https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.2.1/jupyter_enterprise_gateway_kernelspecs-3.2.1.tar.gz
KERNELS_FOLDER=/usr/local/share/jupyter/kernels
tar -zxvf jupyter_enterprise_gateway_kernelspecs-3.2.0.tar.gz --strip 1 --directory $KERNELS_FOLDER/python_distributed/ python_distributed/
tar -zxvf jupyter_enterprise_gateway_kernelspecs-3.2.1.tar.gz --strip 1 --directory $KERNELS_FOLDER/python_distributed/ python_distributed/
```

```{tip}
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8 changes: 4 additions & 4 deletions docs/source/operators/deploy-kubernetes.md
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Expand Up @@ -945,10 +945,10 @@ NAME READY STATUS RESTARTS AGE
po/enterprise-gateway-74c46cb7fc-jrkl7 1/1 Running 0 2h
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
svc/enterprise-gateway NodePort 10.110.253.220 <none> 8888:32422/TCP 2h
svc/enterprise-gateway NodePort 10.110.253.2.1 <none> 8888:32422/TCP 2h
```
Of particular importance is the mapping to port `8888` (e.g.,`32422`). If you are performing this on the same host as where the notebook will run, then you will need to note the cluster-ip entry (e.g.,`10.110.253.220`).
Of particular importance is the mapping to port `8888` (e.g.,`32422`). If you are performing this on the same host as where the notebook will run, then you will need to note the cluster-ip entry (e.g.,`10.110.253.2.1`).
(Note: if the number of replicas is > 1, then you will see two pods listed with different five-character suffixes.)
Expand Down Expand Up @@ -1004,10 +1004,10 @@ kubectl logs -f pod/alice-5e755458-a114-4215-96b7-bcb016fc7b62
Note that if using multiple replicas, commands against each pod are required.
- The Kubernetes dashboard is useful as well. It's located at port `3.2.0` of the master node
- The Kubernetes dashboard is useful as well. It's located at port `3.2.1` of the master node
```bash
https://elyra-kube1.foo.bar.com:3.2.0/dashboard/#!/overview?namespace=default
https://elyra-kube1.foo.bar.com:3.2.1/dashboard/#!/overview?namespace=default
```
From there, logs can be accessed by selecting the `Pods` option in the left-hand pane followed by the _lined_ icon on
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12 changes: 6 additions & 6 deletions docs/source/operators/deploy-yarn-cluster.md
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Expand Up @@ -56,9 +56,9 @@ We recommend installing kernel specifications into a shared folder like `/usr/lo
Considering we would like to enable the IPython kernel to run on YARN Cluster and Client mode we would have to copy the sample configuration folder **spark_python_yarn_cluster** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)

```bash
wget https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.2.0/jupyter_enterprise_gateway_kernelspecs-3.2.0.tar.gz
wget https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.2.1/jupyter_enterprise_gateway_kernelspecs-3.2.1.tar.gz
KERNELS_FOLDER=/usr/local/share/jupyter/kernels
tar -zxvf jupyter_enterprise_gateway_kernelspecs-3.2.0.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_cluster/ spark_python_yarn_cluster/
tar -zxvf jupyter_enterprise_gateway_kernelspecs-3.2.1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_cluster/ spark_python_yarn_cluster/
```

For more information about the IPython kernel, please visit the [IPython kernel](https://ipython.readthedocs.io/en/stable/) page.
Expand All @@ -68,9 +68,9 @@ For more information about the IPython kernel, please visit the [IPython kernel]
Considering we would like to enable the Scala Kernel to run on YARN Cluster and Client mode we would have to copy the sample configuration folder **spark_scala_yarn_cluster** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)

```bash
wget https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.2.0/jupyter_enterprise_gateway_kernelspecs-3.2.0.tar.gz
wget https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.2.1/jupyter_enterprise_gateway_kernelspecs-3.2.1.tar.gz
KERNELS_FOLDER=/usr/local/share/jupyter/kernels
tar -zxvf jupyter_enterprise_gateway_kernelspecs-3.2.0.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_scala_yarn_cluster/ spark_scala_yarn_cluster/
tar -zxvf jupyter_enterprise_gateway_kernelspecs-3.2.1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_scala_yarn_cluster/ spark_scala_yarn_cluster/
```

For more information about the Scala kernel, please visit the [Apache Toree](https://toree.apache.org/) page.
Expand All @@ -80,9 +80,9 @@ For more information about the Scala kernel, please visit the [Apache Toree](htt
Considering we would like to enable the IRkernel to run on YARN Cluster and Client mode we would have to copy the sample configuration folder **spark_R_yarn_cluster** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)

```Bash
wget https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.2.0/jupyter_enterprise_gateway_kernelspecs-3.2.0.tar.gz
wget https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.2.1/jupyter_enterprise_gateway_kernelspecs-3.2.1.tar.gz
KERNELS_FOLDER=/usr/local/share/jupyter/kernels
tar -zxvf jupyter_enterprise_gateway_kernelspecs-3.2.0.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_R_yarn_cluster/ spark_R_yarn_cluster/
tar -zxvf jupyter_enterprise_gateway_kernelspecs-3.2.1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_R_yarn_cluster/ spark_R_yarn_cluster/
```

For more information about the iR kernel, please visit the [IRkernel](https://irkernel.github.io/) page.
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4 changes: 2 additions & 2 deletions docs/source/other/troubleshooting.md
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Expand Up @@ -33,8 +33,8 @@ a "Kernel error" and State: 'FAILED'.**

1. Check the output from Enterprise Gateway for an error message. If an applicationId was
generated, make a note of it. For example, you can locate the applicationId
`application_15065522733.2.0011` from the following snippet of message:
`[D 2017-09-28 17:13:22.675 EnterpriseGatewayApp] 13: State: 'ACCEPTED', Host: 'burna2.yourcompany.com', KernelID: '28a5e827-4676-4415-bbfc-ac30a0dcc4c3', ApplicationID: 'application_15065522733.2.0011' 17/09/28 17:13:22 INFO YarnClientImpl: Submitted application application_15065522733.2.0011 17/09/28 17:13:22 INFO Client: Application report for application_15065522733.2.0011 (state: ACCEPTED) 17/09/28 17:13:22 INFO Client: client token: N/A diagnostics: AM container is launched, waiting for AM container to Register with RM ApplicationMaster host: N/A ApplicationMaster RPC port: -1 queue: default start time: 1506644002471 final status: UNDEFINED tracking URL: http://burna1.yourcompany.com:8088/proxy/application_15065522733.2.0011/`
`application_15065522733.2.1011` from the following snippet of message:
`[D 2017-09-28 17:13:22.675 EnterpriseGatewayApp] 13: State: 'ACCEPTED', Host: 'burna2.yourcompany.com', KernelID: '28a5e827-4676-4415-bbfc-ac30a0dcc4c3', ApplicationID: 'application_15065522733.2.1011' 17/09/28 17:13:22 INFO YarnClientImpl: Submitted application application_15065522733.2.1011 17/09/28 17:13:22 INFO Client: Application report for application_15065522733.2.1011 (state: ACCEPTED) 17/09/28 17:13:22 INFO Client: client token: N/A diagnostics: AM container is launched, waiting for AM container to Register with RM ApplicationMaster host: N/A ApplicationMaster RPC port: -1 queue: default start time: 1506644002471 final status: UNDEFINED tracking URL: http://burna1.yourcompany.com:8088/proxy/application_15065522733.2.1011/`
1. Lookup the YARN log for that applicationId in the YARN ResourceManager UI: ![YARN ResourceManager UI](../images/yarnui.jpg)
1. Drill down from the applicationId to find logs for the failed attempts and take appropriate
actions. For example, for the error below,
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2 changes: 1 addition & 1 deletion etc/docker/docker-compose.yml
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Expand Up @@ -10,7 +10,7 @@ version: "3.5"
# 3. We only use one replica since session affinity is another point of investigation in Swarm
services:
enterprise-gateway:
image: elyra/enterprise-gateway:dev
image: elyra/enterprise-gateway:3.2.1
user: root
volumes:
- "/var/run/docker.sock:/var/run/docker.sock"
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2 changes: 1 addition & 1 deletion etc/kubernetes/helm/enterprise-gateway/Chart.yaml
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Expand Up @@ -4,7 +4,7 @@ description: A helm chart to deploy Jupyter Enterprise Gateway
# This is the chart version. This version number should be incremented each time you make changes
# to the chart and its templates, including the app version.
# Versions are expected to follow Semantic Versioning (https://semver.org/)
version: 3.3.0-dev0
version: 3.2.1

# This is the version number of the application being deployed. This version number should be
# incremented each time you make changes to the application. Versions are not expected to
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4 changes: 2 additions & 2 deletions etc/kubernetes/helm/enterprise-gateway/values.yaml
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Expand Up @@ -23,7 +23,7 @@ imagePullSecretsCreate:
# --set imagePullSecretsCreate.secrets[1].data="UHJvZCBTZWNyZXQgSW5mb3JtYXRpb24K"

# Enterprise Gateway image name and tag to use.
image: elyra/enterprise-gateway:dev
image: elyra/enterprise-gateway:3.2.1
# Enterprise Gateway image pull policy.
imagePullPolicy: IfNotPresent
# K8s Enterprise Gateway Service
Expand Down Expand Up @@ -156,7 +156,7 @@ kip:
create: false
annotations: {}
# Kernel Image Puller image name and tag to use.
image: elyra/kernel-image-puller:dev
image: elyra/kernel-image-puller:3.2.1
# Kernel Image Puller image pull policy.
imagePullPolicy: IfNotPresent
# Determines whether the Kernel Image Puller will pull kernel images it has previously pulled
Expand Down

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