Readme
file for: IBM Spectrum Conductor with Spark
Product/Component Release: 2.2.1
Update Name: Jupyter 5.0.0 notebook
packages
Fix ID: cws-2.2.1-build476107
Publication Date: Dec 8, 2017
1. About the Jupyter 5.0.0 notebook packages
2. Installation and configuration
3. Copyright and trademark information
This update provides the Jupyter 5.0.0 notebook packages
for IBM Spectrum Conductor with Spark v2.2.1.
There are four Jupyter 5.0.0 notebook packages available, supporting Linux
64-bit and Linux on POWER 64-bit LE with Python 2 and Python 3.
The JupyterPython3 and JupyterPowerPython3 packages support
the Spark versions that are shipped with IBM Conductor with Spark 2.2.1. This
includes Spark 1.6.1, Spark 2.1.1, and Spark 2.2.0. The JupyterPython3 and
JupyterPowerPython3 notebook packages are installed with IBM Conductor with
Spark 2.2.1. If you have removed the notebook package and want to add them back
again, download the package and add it to your cluster using the cluster
management console.
The JupyterPython2 and JupyterPowerPython2 packages support
all Spark versions that are supported in IBM Conductor with Spark 2.2.1. This
includes Spark 1.5.2, Spark 1.6.1, Spark 2.0.1, Spark 2.1.0, Spark 2.1.1, and
Spark 2.2.0. To use Jupyter with Python 2, download the JupyterPython2 and
JupyterPowerPython2 notebook packages and add them to your cluster using the
cluster management console.
Linux 64-bit or Linux on POWER 64-bit LE
Before you begin, IBM Spectrum Conductor with Spark v2.2.1
must be installed on a supported operating system. For more details, see https://www.ibm.com/support/knowledgecenter/SSZU2E_2.2.1/installing/install_upgrade.html.
1. Download the notebook package to a local directory on
your computer:
2.
Launch a browser and log in to the cluster management console as a cluster
administrator.
3. Add the notebook package to your cluster:
a. Click Workload > Spark > Notebook
Management.
b. Click Add.
c. On the Deployment Settings tab, enter the
required fields as follows:
·
Name: Name
of the notebook that you are adding, for example JupyterPython3.
·
Version:
5.0.0
·
Package:
Click
Browse and select the notebook package
that you downloaded previously.
·
Select the following check boxes:
o
Enable
collaboration for the notebook
o
Enable
SSL support
·
Start
command: ./scripts/start_jupyter.sh
·
Stop
command: ./scripts/stop_jupyter.sh
·
Job
monitor command: ./scripts/jobMonitor.sh
d. Click Add.
4. Create a new Spark instance group and select the Jupyter
notebook that you added. Edit the notebook configuration to specify a base data
directory for the notebook, as well as any other required changes. When choosing
a resource group for the notebook, ensure that the resource group selected
contains hosts with the correct architecture for the selected notebook. For
example, the resource group selected for a JupyterPython3 notebook should
contain only Linux 64-bit hosts, and the resource group selected for a
JupyterPowerPython3 notebook should contain only Linux on POWER 64-bit LE
hosts.
For more information, see https://www.ibm.com/support/knowledgecenter/SSZU2E_2.2.1/developing_instances/instance_create_about.html
5. Create Jupyter notebooks for users. For more information
see https://www.ibm.com/support/knowledgecenter/SSZU2E_2.2.1/managing_instances/mapping_notebooks.html
6. Launch the Jupyter notebook. For more information see https://www.ibm.com/support/knowledgecenter/SSZU2E_2.2.1/managing_applications/notebooks_launching.html
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