首页下载资源大数据spark课程设计任务

ZIPspark课程设计任务

2301_7907086721MB需要积分:1

资源文件列表:

spark.zip 大约有61个文件
  1. spark/data.csv 65.61MB
  2. spark/FoodSpark2/
  3. spark/FoodSpark2/.idea/
  4. spark/FoodSpark2/.idea/artifacts/
  5. spark/FoodSpark2/.idea/artifacts/FoodSpark2_jar.xml 301B
  6. spark/FoodSpark2/.idea/codeStyles/
  7. spark/FoodSpark2/.idea/codeStyles/codeStyleConfig.xml 153B
  8. spark/FoodSpark2/.idea/compiler.xml 543B
  9. spark/FoodSpark2/.idea/misc.xml 541B
  10. spark/FoodSpark2/.idea/scala_compiler.xml 191B
  11. spark/FoodSpark2/.idea/workspace.xml 6.23KB
  12. spark/FoodSpark2/out/
  13. spark/FoodSpark2/out/artifacts/
  14. spark/FoodSpark2/out/artifacts/FoodSpark2_jar/
  15. spark/FoodSpark2/out/artifacts/FoodSpark2_jar/FoodSpark2.jar 27.79KB
  16. spark/FoodSpark2/pom.xml 2.7KB
  17. spark/FoodSpark2/src/
  18. spark/FoodSpark2/src/main/
  19. spark/FoodSpark2/src/main/java/
  20. spark/FoodSpark2/src/main/resources/
  21. spark/FoodSpark2/src/main/scala/
  22. spark/FoodSpark2/src/main/scala/FoodSpark/
  23. spark/FoodSpark2/src/main/scala/FoodSpark/FoodSpark.scala 6.63KB
  24. spark/FoodSpark2/src/main/scala/FoodSpark/FoodSpark2.scala 6.62KB
  25. spark/FoodSpark2/src/test/
  26. spark/FoodSpark2/src/test/java/
  27. spark/FoodSpark2/src/test/scala/
  28. spark/FoodSpark2/target/
  29. spark/FoodSpark2/target/classes/
  30. spark/FoodSpark2/target/classes/FoodSpark/
  31. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$1.class 1.12KB
  32. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$2.class 1000B
  33. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$3$$anonfun$apply$1.class 1.17KB
  34. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$3.class 1.64KB
  35. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$4.class 1.2KB
  36. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$5.class 1.21KB
  37. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$6.class 1.33KB
  38. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$7.class 1.51KB
  39. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$8.class 1.79KB
  40. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$$anonfun$main$1.class 1.3KB
  41. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark$.class 4.1KB
  42. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark.class 1KB
  43. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$1.class 1.13KB
  44. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$2.class 1004B
  45. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$3$$anonfun$apply$1.class 1.18KB
  46. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$3.class 1.65KB
  47. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$4.class 1.2KB
  48. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$5.class 1.22KB
  49. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$6.class 1.33KB
  50. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$7.class 1.51KB
  51. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$8.class 1.79KB
  52. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$9.class 1.22KB
  53. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$main$1.class 1.06KB
  54. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$main$2.class 1.3KB
  55. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$$anonfun$main$3.class 1.06KB
  56. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2$.class 4.36KB
  57. spark/FoodSpark2/target/classes/FoodSpark/FoodSpark2.class 1.17KB
  58. spark/FoodSpark2/target/classes/META-INF/
  59. spark/FoodSpark2/target/classes/META-INF/FoodSpark2.kotlin_module 16B
  60. spark/FoodSpark2/target/generated-sources/
  61. spark/FoodSpark2/target/generated-sources/annotations/

资源介绍:

对数据文件data.csv在根据课程设计要求在IDEA中编写Spark程序并打包成jar包,并且将数据文件data.csv上传到HDFS中,提交jar包到Spark集群中运行。 data.csv里面包含餐厅数据,可以用记事本打开查看,主要包含以下13个字段,字段之间由逗号分隔: "所属年月","商家名称","主营类型","店铺URL","特色菜","累计评论数","累计销售人次","店铺评分","本月销量","本月销售额","城市","商家地址","电话" 课程设计要求完成以下任务,在IDEA中创建Maven项目,提供pom.xml文件给大家,完成以下任务。 一、将data.csv文件上传到hdfs的/cateringdata/目录下。 二、编写Spark程序,实现以下功能,并且将程序打包为jar包 1.去掉"本月销量","本月销售额"(第8列和第9列)的数据异常(数据为空字符串或者null或者为0),并且统计去掉了多少条;这一步清洗获得的数据要以逗号分割,存到hdfs的/foodsparktask1目录下; 2.去掉"店铺评分"数据为null的数据,并统计去掉了多少条; 3.去掉"店
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