changed MetricsTable put(API) to use long instead of byte array
Merge branch 'develop' of github.com:caskdata/cdap into feature/MetricsTable_PutAPI_useLong

Conflicts:
	cdap-watchdog/src/main/java/co/cask/cdap/metrics/data/AggregatesTable.java
 Using Generics for Map Transformation and Bytes.immutableSortedMap
copyright fix
update based on code review
code review changes
removed unused code
removed unused imports
CDAP-641: Replaced slf4j-nop by the logback.
style fixes
Merge pull request #577 from caskdata/feature/MetricsTable_PutAPI_useLong

CDAP 544 - MetricsTable API Put to use Long instead of byte array
Merge pull request #630 from cybervisiontech/CDAP-641

CDAP-641: Replaced slf4j-nop by the logback.
Adjusting text in these three READMEs so they are identical in structure.
Merge pull request #631 from caskdata/feature/2.6.0_archetype_READMEs

Archetype READMEs corrections
(CDAP-618) Fix hanging issue when suspending a Flowlet that only has @Tick method with a long delay
- Split the FlowletProcessDriver into two classes to simplify logic and better role separation
  - FlowletRuntimeService, represents Flowlet lifecycle, responsible to handle start, suspend, resume, stop
  - FlowletProcessDriver, solely responsible for calling Flowlet process methods
- Suspending a Flowlet become a simple task. Only need to stop the FlowletProcessDriver
- Also included some refactoring to remove unneeded coded
  - Remove inflight events tracking, as it's already handled by the Queue system
  - Simplify unnecessary nested try-catch blocks in ReflectionProcessMethod
    - Any exception is represented as process failure and handled the same way (rollback, callback, retry)
  - Replace usage of PriorityBlockingQueue to simple PriorityQueue as execution of flowlet methods is single-threaded.
Merge pull request #627 from caskdata/feature/flowlet-suspend

(CDAP-618) Fix hanging issue when suspending a Flowlet with long tick delay
Update README.md

Fixed image link.
Update README.md

Fixed broken links.
Spark Integration: SparkPageRank now uses Service
Spark Integration: Addressed comments PR1