IDEA+scala+spark程序开发流程
生活随笔
收集整理的這篇文章主要介紹了
IDEA+scala+spark程序开发流程
小編覺得挺不錯的,現在分享給大家,幫大家做個參考.
1. 新建JAVA工程
2. 設置scala SDK?
File -> Project Struction -> Libraries -> +; 添加Scala SDK。如果沒有配置過系統的scala SDK, 指定系統中安裝的scala位置。
3. 導入spark libraries
File -> Project Struction -> Libraries -> +; 導入spark的jar包,這里可以統一對所有的jar包進行命名,如spark-lib。
4. 設置Source
File->Project Structure->Modules->Sources->src
這里選中src,右鍵New Folder取名main,然后在main下面新建三個文件夾:java,resources,scala。最后右鍵scala文件夾,選擇Sources。
在面板的右側的+Add Content Root下面就會增加src\main\scala作為源文件夾,可以檢驗文件結構是否正確。
需要注意的是,如果沒有設置source文件夾或者文件結構設置錯誤,后面運行spark程序都會報錯!
- 不設置Source文件夾:Error=找不到或無法加載主類 scala.HelloWorld
- main, main/scala都設置為source:Error=HelloWorld is already defined as object HelloWorld
5. 編寫spark測試程序
右鍵scala文件夾 -> New -> Scala Class -> 選擇object
測試代碼如下:
package scala import org.apache.spark.{SparkConf, SparkContext}object HelloWorld {def main(args: Array[String]): Unit = {val logFile = "E:\\software\\spark-2.3.0-bin-hadoop2.7\\helloSpark.txt"val conf = new SparkConf().setAppName("wordcount").setMaster("local")val sc = new SparkContext(conf)val rdd = sc.textFile(logFile)val counts = rdd.flatMap(line=>line.split(",")).map(x=>(x,1)).reduceByKey((x,y)=>(x+y))counts.foreach(println)sc.stop()} }Ctrl+Shift+F10 運行程序,日志如下。
2019-08-05 22:18:32 INFO? Executor:54 - Running task 0.0 in stage 1.0 (TID 1) 2019-08-05 22:18:32 INFO? ShuffleBlockFetcherIterator:54 - Getting 1 non-empty blocks out of 1 blocks 2019-08-05 22:18:32 INFO? ShuffleBlockFetcherIterator:54 - Started 0 remote fetches in 6 ms (scala,1) (spark,2) (hello,3) (sparkui,1) (java,1) 2019-08-05 22:18:32 INFO? Executor:54 - Finished task 0.0 in stage 1.0 (TID 1). 1138 bytes result sent to driver 2019-08-05 22:18:32? TaskSetManager:54 - Finished task 0.0 in stage 1.0 (TID 1) in 56 ms on localhost (executor driver) (1/1) 2019-08-05 22:18:32 INFO? TaskSchedulerImpl:54 - Removed TaskSet 1.0, whose tasks have all completed, from pool? 2019-08-05 22:18:32 INFO? DAGScheduler:54 - ResultStage 1 (main at <unknown>:0) finished in 0.072 s 2019-08-05 22:18:32 INFO? DAGScheduler:54 - Job 0 finished: main at <unknown>:0, took 0.859162 s 2019-08-05 22:18:32 INFO? AbstractConnector:318 - Stopped Spark@1f4c2977{HTTP/1.1,[http/1.1]}{0.0.0.0:4040} 2019-08-05 22:18:32 INFO? SparkUI:54 - Stopped Spark web UI at http://10.119.9.164:4040?
總結
以上是生活随笔為你收集整理的IDEA+scala+spark程序开发流程的全部內容,希望文章能夠幫你解決所遇到的問題。
- 上一篇: On Error Resume Next
- 下一篇: RDD 与 DataFrame原理-区别