ZEPPELIN-3563. Add pool to paragraph property that use spark interpreter

### What is this PR for?
Allow user to specify the pool when running spark sql in concurrent approach.
e.g.
```
%spark.sql(pool=pool_1)

sql statement
```

### What type of PR is it?
[Feature]

### Todos
* [ ] - Task

### What is the Jira issue?
* https://issues.apache.org/jira/browse/ZEPPELIN-3563

### How should this be tested?
* CI pass

### Screenshots (if appropriate)

### Questions:
* Does the licenses files need update? No
* Is there breaking changes for older versions? No
* Does this needs documentation? No

Author: Jeff Zhang <zjffdu@apache.org>

Closes #3044 from zjffdu/ZEPPELIN-3563 and squashes the following commits:

255f5baf9 [Jeff Zhang] ZEPPELIN-3563. Add pool to paragraph property that use spark interpreter
14 files changed
tree: 5c39d04d801e8120ecf83341592ab654cb0a75ef
  1. .github/
  2. _tools/
  3. alluxio/
  4. angular/
  5. beam/
  6. bigquery/
  7. bin/
  8. cassandra/
  9. conf/
  10. dev/
  11. docs/
  12. elasticsearch/
  13. file/
  14. flink/
  15. geode/
  16. groovy/
  17. hbase/
  18. helium-dev/
  19. ignite/
  20. interpreter-parent/
  21. jdbc/
  22. kylin/
  23. lens/
  24. licenses/
  25. livy/
  26. markdown/
  27. neo4j/
  28. notebook/
  29. pig/
  30. python/
  31. r/
  32. sap/
  33. scalding/
  34. scio/
  35. scripts/
  36. shell/
  37. spark/
  38. testing/
  39. zeppelin-display/
  40. zeppelin-distribution/
  41. zeppelin-examples/
  42. zeppelin-integration/
  43. zeppelin-interpreter/
  44. zeppelin-jupyter/
  45. zeppelin-plugins/
  46. zeppelin-server/
  47. zeppelin-web/
  48. zeppelin-zengine/
  49. .appveyor.yml
  50. .gitignore
  51. .travis.yml
  52. LICENSE
  53. NOTICE
  54. pom.xml
  55. README.md
  56. Roadmap.md
  57. SECURITY-README.md
  58. STYLE.md
  59. travis_check.py
README.md

Apache Zeppelin

Documentation: User Guide
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Contributing: Contribution Guide
Issue Tracker: Jira
License: Apache 2.0

Zeppelin, a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

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  • Built-in Apache Spark support

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