Prepare release 2.0.0rc2

jupyter-server · Jun 20, 2019 · c616043 · c616043
1 parent 20cc905
commit c616043
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Showing 10 changed files with 35 additions and 35 deletions.
diff --git a/Makefile b/Makefile
@@ -12,7 +12,7 @@ SA:=source activate
 ENV:=enterprise-gateway-dev
 SHELL:=/bin/bash
 
-VERSION:=2.0.0.dev2
+VERSION:=2.0.0rc2
 
 ifeq (dev, $(findstring dev, $(VERSION)))
     TAG:=dev

diff --git a/docs/source/getting-started.md b/docs/source/getting-started.md
@@ -133,7 +133,7 @@ Note that because the Apache Toree kernel, and its supporting libraries, will be
 
 #### Sample kernelspecs
 
-We provide sample kernel configuration and launcher tar files as part of [each release](https://github.com/jupyter/enterprise_gateway/releases) (e.g. [jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz](https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz)) that can be extracted and modified to fit your configuration.
+We provide sample kernel configuration and launcher tar files as part of [each release](https://github.com/jupyter/enterprise_gateway/releases) (e.g. [jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz](https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz)) that can be extracted and modified to fit your configuration.
 
 For information about how to build your own kernel-based docker image for use by Enterprise Gateway see [Custom kernel images](docker.html#custom-kernel-images).
 

diff --git a/docs/source/kernel-distributed.md b/docs/source/kernel-distributed.md
@@ -9,9 +9,9 @@ The following sample kernelspecs are currently available on Distributed mode:
 Install the `python_distributed` kernelspec on all nodes.
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/python_distributed/ python_distributed/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz --strip 1 --directory $KERNELS_FOLDER/python_distributed/ python_distributed/
 ```
 
 The `python_distributed` kernelspec uses `DistributedProcessProxy` which is responsible for the launch and management of kernels distributed across and explicitly defined set of hosts using ssh. Hosts are determined via a round-robin algorithm (that we should make pluggable someday).

diff --git a/docs/source/kernel-spark-standalone.md b/docs/source/kernel-spark-standalone.md
@@ -23,14 +23,14 @@ EG_REMOTE_HOSTS=elyra-node-1.fyre.ibm.com,elyra-node-2.fyre.ibm.com,elyra-node-3
 Although Enterprise Gateway does not currently provide sample kernelspecs for Spark standalone, here are the steps necessary to convert a yarn_client kernelspec to standalone.
 
 For each supported Jupyter Kernel, we have provided sample kernel configurations and launchers as part of the release
-[jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz](https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz).
+[jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz](https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz).
 
 Considering we would like to enable the IPython Kernel that comes pre-installed with Anaconda to run on
 Spark Standalone, we would have to copy the sample configuration folder **spark_python_yarn_client**
 to where the Jupyter kernels are installed (e.g. jupyter kernelspec list) and rename it to **spark_python_spark_standalone***
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 SCALA_KERNEL_DIR="$(jupyter kernelspec list | grep -w "python3" | awk '{print $2}')"
 KERNELS_FOLDER="$(dirname "${SCALA_KERNEL_DIR}")"
 tar -zxvf enterprise_gateway_kernelspecs.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_client/ spark_python_yarn_client/
@@ -85,9 +85,9 @@ Follow the steps below to install/configure the Toree 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_client** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_scala_yarn_client/ spark_scala_yarn_client/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_scala_yarn_client/ spark_scala_yarn_client/
 mv $KERNELS_FOLDER/spark_scala_yarn_client $KERNELS_FOLDER/spark_scala_spark_standalone
 ```
 
@@ -102,9 +102,9 @@ The IPython kernel comes pre-installed with Anaconda and we have tested with its
 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_client** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_client/ spark_python_yarn_client/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_client/ spark_python_yarn_client/
 mv $KERNELS_FOLDER/spark_python_yarn_client $KERNELS_FOLDER/spark_python_spark_standalone
 ```
 
@@ -137,9 +137,9 @@ ls $ANACONDA_HOME/lib/R/library
 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_client** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_R_yarn_client/ spark_R_yarn_client/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_R_yarn_client/ spark_R_yarn_client/
 mv $KERNELS_FOLDER/spark_R_yarn_client $KERNELS_FOLDER/spark_R_spark_standalone
 ```
 

diff --git a/docs/source/kernel-yarn-client-mode.md b/docs/source/kernel-yarn-client-mode.md
@@ -27,14 +27,14 @@ EG_REMOTE_HOSTS=elyra-node-1.fyre.ibm.com,elyra-node-2.fyre.ibm.com,elyra-node-3
 ```
 
 For each supported Jupyter Kernel, we have provided sample kernel configurations and launchers as part of the release
-[jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz](https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz).
+[jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz](https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz).
 
 Considering we would like to enable the IPython Kernel that comes pre-installed with Anaconda to run on
 Yarn Client mode, we would have to copy the sample configuration folder **spark_python_yarn_client**
 to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 SCALA_KERNEL_DIR="$(jupyter kernelspec list | grep -w "python3" | awk '{print $2}')"
 KERNELS_FOLDER="$(dirname "${SCALA_KERNEL_DIR}")"
 tar -zxvf enterprise_gateway_kernelspecs.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_client/ spark_python_yarn_client/
@@ -82,9 +82,9 @@ Follow the steps below to install/configure the Toree 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_client** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_scala_yarn_client/ spark_scala_yarn_client/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_scala_yarn_client/ spark_scala_yarn_client/
 ```
 
 For more information about the Scala kernel, please visit the [Apache Toree](http://toree.apache.org/) page.
@@ -98,9 +98,9 @@ The IPython kernel comes pre-installed with Anaconda and we have tested with its
 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_client** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_client/ spark_python_yarn_client/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_client/ spark_python_yarn_client/
 ```
 
 For more information about the IPython kernel, please visit the [IPython kernel](http://ipython.readthedocs.io/en/stable/) page.
@@ -132,9 +132,9 @@ ls $ANACONDA_HOME/lib/R/library
 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_client** to where the Jupyter kernels are installed (e.g. jupyter kernelspec list)
 
 ``` Bash
-wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_R_yarn_client/ spark_R_yarn_client/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_R_yarn_client/ spark_R_yarn_client/
 ```
 
 For more information about the iR kernel, please visit the [IRkernel](https://irkernel.github.io/) page.

diff --git a/docs/source/kernel-yarn-cluster-mode.md b/docs/source/kernel-yarn-cluster-mode.md
@@ -28,16 +28,16 @@ EG_ALT_YARN_ENDPOINT=http://${ALT_YARN_RESOURCE_MANAGER_FQDN}:8088/ws/v1/cluster
 
 ### Configuring Kernels for YARN Cluster mode
 
-For each supported Jupyter Kernel, we have provided sample kernel configurations and launchers as part of the release [jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz](https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz).
+For each supported Jupyter Kernel, we have provided sample kernel configurations and launchers as part of the release [jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz](https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz).
 
 Considering we would like to enable the IPython Kernel that comes pre-installed with Anaconda to run on Yarn Cluster 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/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 SCALA_KERNEL_DIR="$(jupyter kernelspec list | grep -w "python3" | awk '{print $2}')"
 KERNELS_FOLDER="$(dirname "${SCALA_KERNEL_DIR}")"
 mkdir $KERNELS_FOLDER/spark_python_yarn_cluster/
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_cluster/ spark_python_yarn_cluster/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_cluster/ spark_python_yarn_cluster/
 ```
 
 After that, you should have a `kernel.json` that looks similar to the one below:
@@ -80,9 +80,9 @@ Follow the steps below to install/configure the Toree 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/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_scala_yarn_cluster/ spark_scala_yarn_cluster/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.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](http://toree.apache.org/) page.
@@ -96,9 +96,9 @@ The IPython kernel comes pre-installed with Anaconda and we have tested with its
 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/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_python_yarn_cluster/ spark_python_yarn_cluster/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.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](http://ipython.readthedocs.io/en/stable/) page.
@@ -130,9 +130,9 @@ ls $ANACONDA_HOME/lib/R/library
 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/enterprise_gateway/releases/download/v2.0.0rc1/jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz
+wget https://github.com/jupyter/enterprise_gateway/releases/download/v2.0.0rc2/jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.tar.gz
 KERNELS_FOLDER=/usr/local/share/jupyter/kernels
-tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc1.tar.gz --strip 1 --directory $KERNELS_FOLDER/spark_R_yarn_cluster/ spark_R_yarn_cluster/
+tar -zxvf jupyter_enterprise_gateway_kernelspecs-2.0.0rc2.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.

diff --git a/enterprise_gateway/_version.py b/enterprise_gateway/_version.py
@@ -3,4 +3,4 @@
 # Copyright (c) Jupyter Development Team.
 # Distributed under the terms of the Modified BSD License.
 
-__version__ = '2.0.0.dev2'
+__version__ = '2.0.0rc2'
diff --git a/etc/docker/docker-compose.yml b/etc/docker/docker-compose.yml
@@ -11,7 +11,7 @@ version: "3.3"
 services:
 
   enterprise-gateway:
-    image: elyra/enterprise-gateway:dev
+    image: elyra/enterprise-gateway:2.0.0rc2
     user: root
     volumes:
       - "/var/run/docker.sock:/var/run/docker.sock"

diff --git a/etc/kubernetes/enterprise-gateway.yaml b/etc/kubernetes/enterprise-gateway.yaml
@@ -141,7 +141,7 @@ spec:
           value: "['r_kubernetes','python_kubernetes','python_tf_kubernetes','python_tf_gpu_kubernetes','scala_kubernetes','spark_r_kubernetes','spark_python_kubernetes','spark_scala_kubernetes']"
 
         # Ensure the following VERSION tag is updated to the version of Enterprise Gateway you wish to run
-        image: elyra/enterprise-gateway:dev
+        image: elyra/enterprise-gateway:2.0.0rc2
         # Use IfNotPresent policy so that dev-based systems don't automatically
         # update. This provides more control.  Since formal tags will be release-specific
         # this policy should be sufficient for them as well.
@@ -177,7 +177,7 @@ spec:
     spec:
       containers:
       - name: kernel-image-puller 
-        image: elyra/kernel-image-puller:dev
+        image: elyra/kernel-image-puller:2.0.0rc2
         env:
           - name: KIP_GATEWAY_HOST
             value: "http://enterprise-gateway.enterprise-gateway:8888"

diff --git a/etc/kubernetes/helm/enterprise-gateway/values.yaml b/etc/kubernetes/helm/enterprise-gateway/values.yaml
@@ -1,5 +1,5 @@
 # Enterprise Gateway image name and tag to use.
-image: elyra/enterprise-gateway:dev
+image: elyra/enterprise-gateway:2.0.0rc2
 # Enterprise Gateway image pull policy.
 imagePullPolicy: IfNotPresent
 # The primary port on which Enterprise Gateway is servicing requests.
@@ -61,7 +61,7 @@ ingress:
 kip:
   enabled: true
   # Kernel Image Puller image name and tag to use.
-  image: elyra/kernel-image-puller:dev
+  image: elyra/kernel-image-puller:2.0.0rc2
   # Kernel Image Puller image pull policy.
   imagePullPolicy: IfNotPresent
   # Determines whether the Kernel Image Puller will pull kernel images it has previously pulled