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文件名:  Spark Scala Learning Note.pdf
资料下载链接地址: https://bbs.pinggu.org/a-2194871.html
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  1. Introduction
  2. 1. Develope Envirinment Setup
  3. 2. Scala Basic
  4. 2.1. For And Yield
  5. 2.2. Functions
  6. 2.3. Class and Case Class
  7. 2.3.1. Basic Class and Constructor
  8. 2.3.2. Abstract Class
  9. 2.3.3. Case Class
  10. 2.4. Object, Compaion Object
  11. 2.5. Traits
  12. 2.6. Pattern Matching
  13. 2.6.1. Matching on Value
  14. 2.6.2. Matching on Type
  15. 2.6.3. Matching on Class Members
  16. 2.7. Exception
  17. 2.8. Data Structure
  18. 2.8.1. Option
  19. 2.8.2. Map
  20. 2.8.3. Tuple
  21. 2.9. Functional Combinator
  22. 2.9.1. map
  23. 3. Design Pattern
  24. 3.1. Factory
  25. 3.2. Singleton
  26. 3.3. Adaptor
  27. 3.4. Decorate
  28. 4. Loading Data from Spark Client to Cluster
  29. 4.1. Data From S3
  30. 4.2. Reading CSV
  31. 4.3. Using Parquet
  32. 4.4. Loading More Than 22 Features into a Class
  33. 4.5. Caching
  34. 5. Algorithm
  35. 5.1. Linear Regression
  36. 5.1.1. Creating LabeledPoint
  37. 5.1.2. Preparing the Training and Test Data
  38. 5.1.3. Scaling the Features
  39. 5.1.4. Training the Model
  40. 5.1.5. Predicting Against Test Data
  41. 6. Appendix
  42. 6.1. Language Questions
  43. 6.1.1. Differences between val, var and def
  44. 6.1.2. Differences between trait and abstract class
  45. 6.1.3. Differences between an ```object``` and a ```class```.
  46. 6.1.4. Companion Object
  47. 6.1.5. Difference between the following terms and types in Scala: Nil, Null, None, Nothing
  48. 6.1.6. Difference between Call by Name and Call by Value
  49. 6.1.7. Option monad
  50. 6.2. Functional Programming Questions
  51. 6.3. Reactive Programming Questions
  52. 6.4. Coding Questions
  53. Published with GitBook
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  • https://www.gitbook.com/book/jiaminglin/spark-scala-learning-note/details
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