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 deploys the ResourceManager component of the Apache Bigtop platform to provide YARN master resources.
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 can also manually load and run map-reduce jobs via the plugin charm included in the bundles linked above:
juju scp my-job.jar plugin/0:
juju ssh plugin/0
hadoop jar my-job.jar
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>
Benchmarking
This charm provides several benchmarks to gauge the performance of your environment.
The easiest way to run the benchmarks on this service is to relate it to the Benchmark GUI. You will likely also want to relate it to the Benchmark Collector to have machine-level information collected during the benchmark, for a more complete picture of how the machine performed.
However, each benchmark is also an action that can be called manually:
$ juju action do resourcemanager/0 nnbench
Action queued with id: 55887b40-116c-4020-8b35-1e28a54cc622
$ juju action fetch --wait 0 55887b40-116c-4020-8b35-1e28a54cc622
results:
meta:
composite:
direction: asc
units: secs
value: "128"
start: 2016-02-04T14:55:39Z
stop: 2016-02-04T14:57:47Z
results:
raw: '{"BAD_ID": "0", "FILE: Number of read operations": "0", "Reduce input groups":
"8", "Reduce input records": "95", "Map output bytes": "1823", "Map input records":
"12", "Combine input records": "0", "HDFS: Number of bytes read": "18635", "FILE:
Number of bytes written": "32999982", "HDFS: Number of write operations": "330",
"Combine output records": "0", "Total committed heap usage (bytes)": "3144749056",
"Bytes Written": "164", "WRONG_LENGTH": "0", "Failed Shuffles": "0", "FILE:
Number of bytes read": "27879457", "WRONG_MAP": "0", "Spilled Records": "190",
"Merged Map outputs": "72", "HDFS: Number of large read operations": "0", "Reduce
shuffle bytes": "2445", "FILE: Number of large read operations": "0", "Map output
materialized bytes": "2445", "IO_ERROR": "0", "CONNECTION": "0", "HDFS: Number
of read operations": "567", "Map output records": "95", "Reduce output records":
"8", "WRONG_REDUCE": "0", "HDFS: Number of bytes written": "27412", "GC time
elapsed (ms)": "603", "Input split bytes": "1610", "Shuffled Maps ": "72", "FILE:
Number of write operations": "0", "Bytes Read": "1490"}'
status: completed
timing:
completed: 2016-02-04 14:57:48 +0000 UTC
enqueued: 2016-02-04 14:55:14 +0000 UTC
started: 2016-02-04 14:55:27 +0000 UTC
Deploying in Network-Restricted Environments
Charms can be deployed in environments with limited network access. To deploy in this environment, you will need a local mirror to serve required packages.
Mirroring Packages
You can setup a local mirror for apt packages using squid-deb-proxy. For instructions on configuring juju to use this, see the Juju Proxy Documentation.
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