Installing Lipstick on HDP 2.4

[#1]

Lipstick Installation

Resources:

http://www.graphviz.org/Download_linux_rhel.php

https://github.com/Netflix/Lipstick/wiki/Getting-Started

Commands

sudo yum list available 'graphviz*'
sudo yum -y install 'graphviz*'
./gradlew assemble

I always like to rename gradlew, avengers; then

./gradlew run-app

Hit your browser to view:

http://localhost:9292/

Make sure you add that port/open firewall/etc...

2016-06-17 02:36:44,558 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.SimplePigStats - Script Statistics:
HadoopVersionPigVersionUserIdStartedAtFinishedAtFeatures
2.4.0root2016-06-17 02:36:402016-06-17 02:36:44HASH_JOIN,FILTER,LIMIT
Success!
Job Stats (time in seconds):
JobIdMapsReducesMaxMapTimeMinMapTImeAvgMapTimeMedianMapTimeMaxReduceTimeMinReduceTimeAvgReduceTimeMedianReducetimeAliasFeatureOutputs
job_local2036219587_000121n/an/an/an/an/an/an/an/afruit_names_join,fruits,limited,namesHASH_JOIN
job_local406327028_000211n/an/an/an/an/an/an/an/afruit_namesfile:/tmp/temp195796189/tmp-2027262369,
Input(s):
Successfully read 3 records from: "file:///opt/demo/certification/pig/Lipstick/quickstart/1.dat"
Successfully read 3 records from: "file:///opt/demo/certification/pig/Lipstick/quickstart/2.dat"
Output(s):
Successfully stored 1 records in: "file:/tmp/temp195796189/tmp-2027262369"
Counters:
Total records written : 1
Total bytes written : 0
Spillable Memory Manager spill count : 0
Total bags proactively spilled: 0
Total records proactively spilled: 0
Job DAG:
job_local2036219587_0001->job_local406327028_0002,
job_local406327028_0002
2016-06-17 02:36:44,568 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Success!
2016-06-17 02:36:44,571 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2016-06-17 02:36:44,582 [main] INFO  org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 1
2016-06-17 02:36:44,583 [main] INFO  org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1 
(orange,ORANGE)

It's a very nice looking visualization.