Linkedin Release

This release includes the below commits since v2.0.9. We are running this release with the FSFetcher for both MR and Spark.

7c373d4 - Shekhar Gupta : Updates Spark configuration heuristic severity calculations (#229)
a1f866a - Anant Nag : Minor bug fixes in exception and UI (#238)
b7e04ab - shankar37 : Spark metrics aggregator fix (#237)
c8a7009 - shankar37 : Update #224 (credits: rayortigas) to add FSFetcher as a standalone fetcher (#232)
8e4a094 - Sergei Lebedev : Spark fetcher is now able to fetch event logs via REST API (#225)
5a98701 - Shekhar Gupta : Fixes MapReduce aggregator and heuristic to correctly handle task data when sampling is enabled (#222)
6b80614 - Akshay Rai : Include reference to the weekly meeting
965cba3 - stiga-huang : add config for timezone of job history server (#214)
f6274b1 - Shekhar Gupta : Fixes issue caused by http in history server config property (#217)
0d668ab - Shekhar Gupta : Adds an option to fetch recently finished apps from RM (#212)
da7983c - shankar37 : Fix Exception thrown when JAVA_EXTRA_OPTIONS is not present (#210)
d3c90d5 - shankar37 : Fix #162 with the right calculation for resourceswasted and add missing workflow links (#207)
dd7a458 - stiga-huang : Fix for null pointers in TaskList returned by MapReduceFSFetcherHadoop2 (#203)
e93d431 - Shekhar Gupta : Fixes Spark REST fetcher for client mode applications (#193)
2a84735 - Shekhar Gupta : Cleanes up MapReduceTaskData class by removing unnecessary constructors (#202)
4df9ba9 - Ragesh Rajagopalan : Added new heuristic DistributedCacheLimit heuristic. (#187)