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A plugin layer for bigtop

License: Apache License 2.0

Python 100.00%

layer-apache-bigtop-plugin's Introduction

Overview

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.

This charm facilitates communication between core Apache Bigtop cluster components and workload charms.

Usage

This charm is intended to be deployed via one of the apache bigtop bundles. For example:

juju quickstart bigtop-processing-mapreduce

This will deploy the Apache Bigtop platform with a workload node preconfigured to work with the cluster.

You could extend this deployment, for example, to analyze data using Apache Pig. Simply deploy Pig and attach it to the same plugin:

juju deploy apache-pig pig
juju add-relation plugin pig

Status and Smoke Test

Apache Bigtop charms provide extended status reporting to indicate when they are ready:

juju status --format=tabular

This is particularly useful when combined with watch to track the on-going progress of the deployment:

watch -n 0.5 juju status --format=tabular

The message for each unit will provide information about that unit's state. Once they all indicate that they are ready, you can perform a "smoke test" to verify HDFS or YARN services are working as expected. Trigger the smoke-test action by:

juju action do namenode/0 smoke-test
juju action do resourcemanager/0 smoke-test

After a few seconds or so, you can check the results of the smoke test:

juju action status

You will see status: completed if the smoke test was successful, or status: failed if it was not. You can get more information on why it failed via:

juju action fetch <action-id>

Contact Information

Resources

layer-apache-bigtop-plugin's People

Contributors

kwmonroe avatar ktsakalozos avatar johnsca avatar

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