...
NOTE:
...
VIZOR
...
IS
...
AN
...
EXPERIMENTAL
...
TOOL.
...
IT
...
IS
...
NOT
...
RECOMMENDED
...
FOR
...
PRODUCTION
...
USE.
...
Vizor monitors running Pentaho MapReduce (PMR)
...
jobs
...
that
...
are
...
distributed
...
on
...
Hadoop
...
or
...
Carte
...
clusters.
...
Vizor
...
helps
...
you
...
debug
...
PMR
...
jobs
...
by
...
displaying
...
errors,
...
metrics,
...
Hadoop
...
output,
...
Carte
...
information,
...
and
...
other
...
job
...
execution
...
information
...
in
...
a
...
Spoon
...
perspective.
...
Because
...
Vizor
...
is
...
experimental,
...
it
...
does
...
not
...
come
...
bundled
...
with
...
PDI.
...
You
...
have
...
to
...
install
...
Vizor
...
before
...
it
...
is
...
ready
...
to
...
be
...
used.
...
Installation
To install Vizor,
...
download
...
it
...
from
...
the
...
Support
...
Portal,
...
unzip
...
it,
...
and
...
place
...
it
...
in
...
the
...
right
...
directory.
...
- Download
...
- the
...
- pentaho-pmr-vizor-plugin-package<version>.dist.zip
...
- file
...
- from
...
- the
...
...
...
...
- .
- Unzip the file, then follow the onscreen instructions to extract the vizor jar from the package.
- Move vizor jar file here: pentaho/design-tools/data-integration/plugins/Vizor
...
- .
...
- If
...
- the
...
- Vizor
...
- directory
...
- doesn't
...
- exist,
...
- create
...
- it.
...
- Set
...
- the
...
- VIZOR_SPOON_CARTE_HOSTNAME
...
- kettle
...
- variable
...
- to
...
- the
...
- local
...
- IP
...
- address
...
- for
...
- Carte.
...
- See Set Kettle Variables to learn how to do this.
- Open the plugin.properties file in the pentaho/design-tools/data-integration/plugins/pentaho-big-data-plugin
...
- folder and add this line: pmr.kettle.additional.plugins=Vizor
...
- Stop
...
- and
...
- restart
...
- Spoon
...
- if
...
- it
...
- is
...
- running.
...
Using
...
Vizor
...
Once
...
Vizor
...
is
...
installed,
...
it
...
is
...
available
...
any
...
time
...
you
...
run
...
a
...
job.
...
To
...
use
...
Vizor,
...
complete
...
these
...
steps.
...
- In
...
- Spoon,
...
- open
...
- a
...
- job
...
- that
...
- has
...
- a
...
- Pentaho
...
- MapReduce
...
- entry
...
- in
...
- it.
...
- Run the Pentaho MapReduce job.
- A message appears asking whether you want to use Vizor. Click Yes.
- As the step runs, notes about the job execution progress and step statuses appear in the logging tab near the bottom of the window.
- The Vizor perspective (which you can see when you click the button in the upper right corner of the Spoon main window) reveals more details about the jobs. It shows each transformation in the job, as well as transformation statistics.
- In the Vizor perspective, statistics displayed are common PDI statistics, such as: number of read and written rows, input and output, number of errors and execution status. Column types mirror those in other PDI steps.
- Two tabs in the bottom of the screen are context-dependent and show logging messages for the selected node and steps output data respectively.
NOTE: The big-data plugin storage in hadoop might need to be cleared to make vizor work. To do it, use OpenURL to connect to your hadoop server, then remove /opt/pentaho/mapreduce contents.
Demo Video
You can download the video here: https://pentaho.box.com/PMRVizorUpdate1
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