\u8fd9\u4e2a\u73af\u5883\u5982\u4e0b\uff1a
\n\u64cd\u4f5c\u7cfb\u7edf\uff1aUbuntu 16\u621618
\nHadoop\u7248\u672c\uff1ahadoop-3.2.1.tar.gz
\nJDK\uff08Java\u5f00\u53d1\u5de5\u5177\uff09\u7248\u672c\uff1ajdk-8u202-linux-x64.tar.gz
\nSpark\u7248\u672c\uff1aspark-3.0.1-bin-hadoop3.2.tgz<\/p>\n
\u540d\u79f0\u8282\u70b9
\n192.168.76.216: h-gpu05<\/p>\n
\u6570\u636e\u8282\u70b9
\n192.168.76.210: h-gpu03
\n192.168.76.210: h-gpu04<\/p>\n
Scala\u548cSbt\u7684\u7248\u672c<\/p>\n
\r\nhadoop@h-gpu05:\/mnt\/data\/hadoop$ scala -version\r\nScala code runner version 2.12.2 -- Copyright 2002-2017, LAMP\/EPFL and Lightbend, Inc.\r\nhadoop@h-gpu05:\/mnt\/data\/hadoop$ sbt -version\r\nsbt script version: 1.4.6\r\n<\/code><\/pre>\n\u9996\u5148\uff0c\u5728Spark-shell\u4e2d\u5c1d\u8bd5\u4f7f\u7528Spark Streaming\u3002
\n\u672c\u6b21\u5c06\u901a\u8fc7Spark-Streaming\u5c06\u5904\u7406\u7684\u6570\u636e\u53d1\u9001\u5230\u672c\u5730\u4e3b\u673a\u7684\u7aef\u53e3\u53f79999\u3002<\/p>\n
\u6253\u5f00\u7aef\u53e3<\/p>\n
\r\n$nc -lk localhost 9999\r\n<\/code><\/pre>\n\r\nhadoop@h-gpu05:\/mnt\/data\/hadoop\/spark-3.0.1-bin-hadoop3.2\/bin$ .\/spark-shell \r\n2021-01-07 11:01:12,652 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\r\nSetting default log level to \"WARN\".\r\nTo adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\r\n2021-01-07 11:01:17,935 WARN util.Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.\r\n2021-01-07 11:01:17,936 WARN util.Utils: Service 'SparkUI' could not bind on port 4041. Attempting port 4042.\r\n2021-01-07 11:01:17,936 WARN util.Utils: Service 'SparkUI' could not bind on port 4042. Attempting port 4043.\r\n2021-01-07 11:01:17,936 WARN util.Utils: Service 'SparkUI' could not bind on port 4043. Attempting port 4044.\r\n2021-01-07 11:01:17,936 WARN util.Utils: Service 'SparkUI' could not bind on port 4044. Attempting port 4045.\r\nSpark context Web UI available at http:\/\/h-gpu05:4045\r\nSpark context available as 'sc' (master = local[*], app id = local-1609984878068).\r\nSpark session available as 'spark'.\r\nWelcome to\r\n ____ __\r\n \/ __\/__ ___ _____\/ \/__\r\n _\\ \\\/ _ \\\/ _ `\/ __\/ '_\/\r\n \/___\/ .__\/\\_,_\/_\/ \/_\/\\_\\ version 3.0.1\r\n \/_\/\r\n \r\nUsing Scala version 2.12.10 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_202)\r\nType in expressions to have them evaluated.\r\nType :help for more information.\r\n\r\nscala> import org.apache.spark.{SparkContext, SparkConf} \r\nimport org.apache.spark.{SparkContext, SparkConf}\r\n\r\nscala> import org.apache.spark.streaming.{Seconds, StreamingContext}\r\nimport org.apache.spark.streaming.{Seconds, StreamingContext}\r\n\r\nscala> import org.apache.spark.storage.StorageLevel \r\nimport org.apache.spark.storage.StorageLevel\r\n\r\nscala> import org.apache.log4j.{Level, Logger} \r\nimport org.apache.log4j.{Level, Logger}\r\n\r\nscala> Logger.getRootLogger.setLevel(Level.WARN)\r\n\r\nscala> val ssc = new StreamingContext(sc, Seconds(10)) \r\nssc: org.apache.spark.streaming.StreamingContext = org.apache.spark.streaming.StreamingContext@5008c5a\r\n\r\nscala> val lines = ssc.socketTextStream(\"localhost\", 9999, StorageLevel.MEMORY_AND_DISK_SER) \r\nlines: org.apache.spark.streaming.dstream.ReceiverInputDStream[String] = org.apache.spark.streaming.dstream.SocketInputDStream@4c9a3ae\r\n<\/code><\/pre>\n\u5728\u4e0b\u9762\u7684\u4ee3\u7801\u884c\u4e2d\uff0c\u63cf\u8ff0\u5bf9\u4f20\u5165\u7684\u6570\u636e\uff08\u5b58\u50a8\u5728lines\u4e2d\uff09\u7684\u5904\u7406\u5185\u5bb9\u3002<\/p>\n
\r\n\r\nscala> val words = lines.flatMap(_.split(\" \")) \r\nwords: org.apache.spark.streaming.dstream.DStream[String] = org.apache.spark.streaming.dstream.FlatMappedDStream@191a8997\r\n\r\nscala> val pairs = words.map((_, 1)) \r\npairs: org.apache.spark.streaming.dstream.DStream[(String, Int)] = org.apache.spark.streaming.dstream.MappedDStream@1d67a1ad\r\n\r\nscala> val wordCounts = pairs.reduceByKey(_ + _) \r\nwordCounts: org.apache.spark.streaming.dstream.DStream[(String, Int)] = org.apache.spark.streaming.dstream.ShuffledDStream@215998b6\r\n\r\nscala> wordCounts.print()\r\n\r\nscala> ssc.start()\r\n\r\n------------------------------------------- \r\nTime: 1609985280000 ms\r\n-------------------------------------------\r\n\r\n<\/code><\/pre>\n\u8bf7\u6309\u7167\u4ee5\u4e0b\u65b9\u5f0f\u53d1\u9001\u3002<\/p>\n
\r\n$ nc -lk localhost 9999\r\nhoge hoge hoge\r\n<\/code><\/pre>\nSpark\u65b9\u9762\u7684\u56de\u5e94<\/p>\n
\r\n------------------------------------------- \r\nTime: 1609985290000 ms\r\n-------------------------------------------\r\n(hoge,3)\r\n<\/code><\/pre>\n\uff08\uff40\u30fc\u00b4\uff09b \u53ea\u9700\u8981\u4e00\u4e2a\u9009\u9879\uff0c\u5c06\u4ee5\u4e0b\u5185\u5bb9\u4ee5\u6c49\u8bed\u539f\u751f\u65b9\u5f0f\u8fdb\u884c\u6539\u5199\uff1a<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u5c1d\u8bd5\u5728jar\u6587\u4ef6\u4e2d\u8fd0\u884cSpark Streaming\u3002
\n\u6700\u7ec8\u8f93\u51fa\u5c06\u5982\u4e0b\u6240\u793a\u3002<\/p>\n
\r\nhadoop@h-gpu05:\/mnt\/data\/hadoop\/nii-cyber-security-admin\/spark\/spark-streaming-1$ ${SPARK_HOME}\/bin\/spark-submit --master local[*] --class StreamingFirst target\/scala-2.12\/app_2.12-1.4.6.jar localhost 9999\r\n2021-01-07 21:04:56,179 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\r\n-------------------------------------------\r\nTime: 1610021100000 ms\r\n-------------------------------------------\r\n-------------------------------------------\r\nTime: 1610021110000 ms\r\n-------------------------------------------\r\n-------------------------------------------\r\nTime: 1610021120000 ms\r\n-------------------------------------------\r\n<\/code><\/pre>\n\u521b\u5efajar\u6587\u4ef6\u65f6\u7684\u5907\u5fd8\u5f55<\/p>\n
\u81ea Scala 2.11\u8d77\uff08\u5305\u62ecScala-2.12.2 \/ sbt-1.4.6\u7248\u53ca\u66f4\u65b0\u7248\u672c\uff09\uff0c\u4e0d\u518d\u4f7f\u7528sbt-assembly\u3002<\/p>\n
\u5982\u679c\u8981\u6267\u884csbt assembly\u547d\u4ee4\uff0c\u9700\u8981\u4f7f\u7528\u7c7b\u4f3c\u4e0b\u9762\u7684plugins.sbt\u6587\u4ef6\uff0c\u4f46\u5728scala 2.11\u7b49\u7248\u672c\u4e2d\uff0c\u7531\u4e8e\u7248\u672c\u4e0d\u5339\u914d\u800c\u9047\u5230\u56f0\u96be\u3002<\/p>\n
\r\nhadoop@h-gpu05:\/mnt\/data\/hadoop\/nii-cyber-security-admin\/spark\/spark-streaming-1$ more plugins.sbt.bak \r\naddSbtPlugin(\"com.eed3si9n\" % \"sbt-assembly\" % \"0.2.0\")\r\n<\/code><\/pre>\n\u5982\u679c\u662fScala-2.12.2 \/ sbt-1.4.6\u6216\u66f4\u9ad8\u7248\u672c\uff0c<\/p>\n
\r\n$sbt clean package\r\n<\/code><\/pre>\n\u53ef\u4ee5\u521b\u5efa\u53ef\u4ee5\u5728Spark Streaming\u4e2d\u4f7f\u7528\u7684JAR\u6587\u4ef6\u3002<\/p>\n
\u6765\u770b\u770b\u4ee3\u7801\u5427\u3002\u3002\uff08\u53ef\u4ee5\u975e\u5e38\u7b80\u5355\u5730\u7f16\u5199\uff09<\/p>\n
\r\n 1import org.apache.spark.{SparkContext, SparkConf}\r\n 2import org.apache.spark.streaming.{Seconds, StreamingContext}\r\n 3import org.apache.spark.storage.StorageLevel\r\n 4import org.apache.log4j.{Level, Logger}\r\n 5\r\n 6object StreamingFirst {\r\n 7 def main(args: Array[String]) {\r\n 8 Logger.getRootLogger.setLevel(Level.WARN)\r\n 9\r\n10 val sparkConf = new SparkConf().setAppName(\"StreamingFirst\")\r\n11 val sc = new SparkContext(sparkConf)\r\n12 val ssc = new StreamingContext(sc, Seconds(10))\r\n13 val lines = ssc.socketTextStream(args(0),\r\n14 args(1).toInt,\r\n15 StorageLevel.MEMORY_AND_DISK_SER)\r\n16 val words = lines.flatMap(.split(\" \")).filter(.nonEmpty)\r\n17 val wordCounts = words.map((, 1)).reduceByKey( + _)\r\n18 wordCounts.print()\r\n19 ssc.start()\r\n20 ssc.awaitTermination()\r\n21\r\n22 }\r\n23}\r\n<\/code><\/pre>\n\u4ee5\u4e0b\u662f\u4e24\u4e2a\u94fe\u63a5\u793a\u4f8b\u4e2d\u7684scala\u4ee3\u7801\uff1a<\/p>\n
https:\/\/github.com\/RuoAndo\/qiita\/blob\/master\/spark\/spark-streaming-1\/main.scala
\nhttps:\/\/github.com\/RuoAndo\/qiita\/tree\/master\/spark\/spark-streaming-1<\/p>\n
\u8bf7\u7528\u4e2d\u6587\u91cd\u65b0\u8868\u8fbe\u8fd9\u4e24\u4e2a\u94fe\u63a5\u5305\u542b\u7684\u5185\u5bb9\u53ca\u5176\u610f\u4e49\u3002<\/p>\n
\u8bd5\u7740\u6267\u884c\uff08Spark-submit\uff09\u4e00\u4e0b\u2026<\/p>\n
|(;\uff9f\u0414\uff9f|<\/p>\n
\r\nhadoop@h-gpu05:\/mnt\/data\/hadoop\/nii-cyber-security-admin\/spark\/spark-streaming-1$ sbt clean package\r\n[info] Updated file \/mnt\/data\/hadoop\/nii-cyber-security-admin\/spark\/spark-streaming-1\/project\/build.properties: set sbt.version to 1.4.6\r\n[info] welcome to sbt 1.4.6 (Private Build Java 1.8.0_275)\r\n[info] loading project definition from \/mnt\/data\/hadoop\/nii-cyber-security-admin\/spark\/spark-streaming-1\/project\r\n[info] loading settings for project spark-streaming-1 from build.sbt ...\r\n[info] set current project to App (in build file:\/mnt\/data\/hadoop\/nii-cyber-security-admin\/spark\/spark-streaming-1\/)\r\n[success] Total time: 0 s, completed Jan 7, 2021 9:18:47 PM\r\n[warn] There may be incompatibilities among your library dependencies; run 'evicted' to see detailed eviction warnings.\r\n[info] compiling 1 Scala source to \/mnt\/data\/hadoop\/nii-cyber-security-admin\/spark\/spark-streaming-1\/target\/scala-2.12\/classes ...\r\n[success] Total time: 9 s, completed Jan 7, 2021 9:18:57 PM\r\n<\/code><\/pre>\n\u53ea\u9700\u8981\u4e00\u79cd\u9009\u9879\uff0c\u4ee5\u4e0b\u662f\u5bf9\u8be5\u8868\u60c5\u7684\u4e2d\u6587\u672c\u5730\u5316\u91ca\u4e49\uff1a
\n\u300c\u54c7\uff01\u300d<\/p>\n
\r\nhadoop@h-gpu05:~\/qiita\/spark\/spark-streaming-1$ nc -lk localhost 9999\r\n<\/code><\/pre>\n\u3010\u554a\uff01\u3011<\/p>\n
\r\nhadoop@h-gpu05:\/mnt\/data\/hadoop\/nii-cyber-security-admin\/spark\/spark-streaming-1$ ${SPARK_HOME}\/bin\/spark-submit --master local[*] --class StreamingFirst target\/scala-2.12\/app_2.12-1.4.6.jar localhost 9999 \r\n\r\n2021-01-07 21:20:35,882 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\r\n\r\nTime: 1610022040000 ms\r\n\r\n<\/code><\/pre>\n|*\uff9f\u0414\uff9f| – \u53f9\u6c14\u8868\u60c5<\/p>\n
\r\nhadoop@h-gpu05:~\/qiita\/spark\/spark-streaming-1$ nc -lk localhost 9999\r\nhoge hoge hoge\r\n<\/code><\/pre>\n\uff08 \u00b4\u0414\u2282\u30fd\uff09<\/p>\n
\r\n-------------------------------------------\r\nTime: 1610022090000 ms\r\n-------------------------------------------\r\n(hoge,3)\r\n<\/code><\/pre>\n\uff08\uff40\u30fc\u00b4\uff09b – \u9700\u8981\u4e2d\u6587\u6bcd\u8bed\u7684\u89e3\u91ca\uff1a \uff08\uff40\u30fc\u00b4\uff09b<\/p>\n","protected":false},"excerpt":{"rendered":"
\u8fd9\u4e2a\u73af\u5883\u5982\u4e0b\uff1a \u64cd\u4f5c\u7cfb\u7edf\uff1aUbuntu 16\u621618 Hadoop\u7248\u672c\uff1ahadoop-3.2.1.tar.gz […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-36669","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n
\u5c1d\u8bd5\u4f7f\u7528Apache Spark\u7684\u6d41\u5f0f\u5904\u7406 - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/\u5c1d\u8bd5\u4f7f\u7528apache-spark\u7684\u6d41\u5f0f\u5904\u7406\u3002\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5c1d\u8bd5\u4f7f\u7528Apache Spark\u7684\u6d41\u5f0f\u5904\u7406\" \/>\n<meta property=\"og:description\" content=\"\u8fd9\u4e2a\u73af\u5883\u5982\u4e0b\uff1a \u64cd\u4f5c\u7cfb\u7edf\uff1aUbuntu 16\u621618 Hadoop\u7248\u672c\uff1ahadoop-3.2.1.tar.gz […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/\u5c1d\u8bd5\u4f7f\u7528apache-spark\u7684\u6d41\u5f0f\u5904\u7406\u3002\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:published_time\" content=\"2022-08-17T05:58:05+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-15T01:04:44+00:00\" \/>\n<meta name=\"author\" content=\"\u79d1, \u96c5\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u79d1, \u96c5\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e5%b0%9d%e8%af%95%e4%bd%bf%e7%94%a8apache-spark%e7%9a%84%e6%b5%81%e5%bc%8f%e5%a4%84%e7%90%86%e3%80%82\/\",\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e5%b0%9d%e8%af%95%e4%bd%bf%e7%94%a8apache-spark%e7%9a%84%e6%b5%81%e5%bc%8f%e5%a4%84%e7%90%86%e3%80%82\/\",\"name\":\"\u5c1d\u8bd5\u4f7f\u7528Apache Spark\u7684\u6d41\u5f0f\u5904\u7406 - 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