{"id":47450,"date":"2023-06-07T07:36:22","date_gmt":"2023-10-13T16:39:38","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%bc%80%e5%a7%8b%e5%ad%a6%e4%b9%a0%e4%bd%bf%e7%94%a8spark-streaming%e5%bc%80%e5%8f%91%ef%bc%8c%e7%89%88%e6%9c%ac%e4%b8%baspark-1-5%e3%80%82\/"},"modified":"2024-04-30T07:42:17","modified_gmt":"2024-04-29T23:42:17","slug":"%e5%bc%80%e5%a7%8b%e5%ad%a6%e4%b9%a0%e4%bd%bf%e7%94%a8spark-streaming%e5%bc%80%e5%8f%91%ef%bc%8c%e7%89%88%e6%9c%ac%e4%b8%baspark-1-5%e3%80%82","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%bc%80%e5%a7%8b%e5%ad%a6%e4%b9%a0%e4%bd%bf%e7%94%a8spark-streaming%e5%bc%80%e5%8f%91%ef%bc%8c%e7%89%88%e6%9c%ac%e4%b8%baspark-1-5%e3%80%82\/","title":{"rendered":"\u5f00\u59cb\u5b66\u4e60\u4f7f\u7528Spark Streaming\u5f00\u53d1\uff0c\u7248\u672c\u4e3aSpark 1.5"},"content":{"rendered":"

\u4ecb\u7ecd<\/h1>\n

\u8fd9\u7bc7\u5e16\u5b50\u662f\u4ee5”Advent Calendar 2015 .. NextGen Distributed Computing system”\u4e3a\u8d77\u56e0\u6240\u5199\u7684\uff01\u8fd9\u662fAdvent Calendar\u7684\u7b2c\u4e00\u5929\u6587\u7ae0\u3002<\/p>\n

\u5173\u4e8e\u65b9\u9488<\/h2>\n

\u6211\u6253\u7b97\u9010\u6b65\u5411\u90a3\u4e9b\u7b2c\u4e00\u6b21\u63a5\u89e6Spark\u548cSparkStreaming\u7684\u4eba\u89e3\u91ca\u8fd9\u4e2a\u4e3b\u9898\uff0c\u4ee5\u4fbf\u4ed6\u4eec\u80fd\u591f\u987a\u5229\u7406\u89e3\u3002\u5f00\u53d1\u662f\u57fa\u4e8eScala\u7684\u3002\u6211\u5e76\u4e0d\u662f\u8bf4\u5982\u679c\u4f60\u4e0d\u719f\u7ec3\u5730\u4f7f\u7528Scala\u5c31\u65e0\u6cd5\u7f16\u5199Spark\u5904\u7406\u7a0b\u5e8f\uff0c\u4f46\u57fa\u672c\u77e5\u8bc6\u8fd8\u662f\u5fc5\u8981\u7684\u3002\u4e3a\u4e86\u638c\u63e1Scala\u57fa\u7840\u77e5\u8bc6\uff0c\u6211\u5efa\u8bae\u60a8\u53c2\u8003\u4ee5\u4e0b\u94fe\u63a5\uff1a
\nhttps:\/\/gist.github.com\/scova0731\/2c405ea55488d804b366<\/p>\n

SparkStreaming\u7684\u4ecb\u7ecd<\/h1>\n

SparkStreaming\u662f\u4ec0\u4e48\uff1f<\/h2>\n

\u4f7f\u7528Spark\u6838\u5fc3\u6269\u5c55\u6a21\u5757\uff0c\u80fd\u5904\u7406\u53ef\u6269\u5c55\u3001\u9ad8\u541e\u5410\u91cf\u3001\u5bb9\u9519\u6027\u5f3a\u7684\u5b9e\u65f6\u6d41\u6570\u636e\u3002
\n\u6570\u636e\u6e90\u53ef\u4ee5\u8fde\u63a5\u5230\u591a\u4e2a\u5730\u65b9\uff0c\u4f8b\u5982Kafka\u3001Flume\u3001Twitter\u3001ZeroMQ\u3001Kinesis\u3001TCP sockets\u7b49\u3002
\n\u529f\u80fd\u5305\u62ec\u9ad8\u7ea7\u5904\u7406\u7684map\u3001reduce\u3001join\u3001window\u7b49\u3002
\n\u6700\u7ec8\u7ed3\u679c\u53ef\u4ee5\u63a8\u9001\u5230\u6587\u4ef6\u7cfb\u7edf\u3001\u6570\u636e\u5e93\u3001\u5b9e\u65f6\u4eea\u8868\u76d8\uff0c\u53ef\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u548c\u56fe\u5904\u7406\u3002<\/p>\n

\"streaming-arch.png\"<\/div>\n

\u5728\u5185\u90e8\uff0cSparkStreaming\u5c06\u8f93\u5165\u6d41\u5206\u5272\u6210\u5c0f\u7684\u6279\u5904\u7406\u5355\u5143\uff0c\u5e76\u5728Spark\u5f15\u64ce\u4e2d\u5bf9\u6279\u5904\u7406\u8fdb\u884c\u5904\u7406\u3002
\n\u4e3a\u4e86\u6267\u884c\u6b64\u64cd\u4f5c\uff0c\u5b9e\u73b0\u4e86\u4e00\u4e2a\u62bd\u8c61\u6982\u5ff5\u79f0\u4e3aDStream\u3002
\nDStream\u662fSpark\u5904\u7406\u7684\u57fa\u672c\u5355\u4f4d\uff0c\u5b83\u662fRDD\u7684\u5e8f\u5217\u3002<\/p>\n

\"streaming-dstream.png\"<\/div>\n

Spark\u662f\u4ec0\u4e48\uff1f<\/h2>\n

\u4e00\u79cd\u53ef\u4ee5\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5404\u79cd\u7528\u9014\u7684\u5feb\u901f\u5206\u5e03\u5f0f\u5904\u7406\u7cfb\u7edf\u3002\u53ef\u4ee5\u4f7f\u7528Scala\u3001Java\u3001Python\u548cR\u8fdb\u884c\u7f16\u5199\u3002
\n\u4f5c\u4e3a\u6267\u884c\u9ad8\u7ea7\u5904\u7406\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u4f7f\u7528SparkSQL\u5bf9\u7ed3\u6784\u5316\u6570\u636e\u8fdb\u884c\u5904\u7406\uff0c\u4f7f\u7528MLlib\u8fdb\u884c\u673a\u5668\u5b66\u4e60\uff0c
\n\u4f7f\u7528GraphX\u8fdb\u884c\u56fe\u5904\u7406\uff0c\u4f7f\u7528Spark Streaming\u8fdb\u884c\u6d41\u5904\u7406\u3002<\/p>\n

\"spark.png\"<\/div>\n

\u5728\u624b\u8fb9\u8fd0\u884c\u7b80\u5355\u7684\u793a\u4f8b\u6837\u672c\u3002<\/h2>\n

\u70ba\u4e86\u5c07\u5176\u61c9\u7528\u5230\u5be6\u969b\u958b\u767c\u4e2d\uff0c\u6211\u5011\u53ef\u4ee5\u91cd\u65b0\u5be6\u73fe\u4ee5\u4e0b\u6240\u4ecb\u7d39\u7684\u7a0b\u5f0f\u78bc\u4e26\u57f7\u884c\uff0c\u8a73\u7d30\u8acb\u53c3\u95b1\u4ee5\u4e0b\u9023\u7d50\uff1a
\nhttp:\/\/spark.apache.org\/docs\/latest\/streaming-programming-guide.html#a-quick-example<\/p>\n

\u51c6\u5907\u5f00\u53d1\u73af\u5883<\/h3>\n

\u5f00\u53d1\u65f6\u4f7f\u7528IntelliJ\u3001scala_2.11\u548cspark_1.5\u3002<\/p>\n

    \n
  • \n
      IntelliJ\u3092\u4ee5\u4e0b\u304b\u3089DL\u3059\u308b\u3002\uff08\u7121\u6599\u306eCommunity Edition\u3067\u554f\u984c\u306a\u3057\uff09<\/ul>\n<\/li>\n<\/ul>\n

       <\/p>\n

        \n
      • \n
          https:\/\/www.jetbrains.com\/idea\/download\/<\/ul>\n<\/li>\n<\/ul>\n

           <\/p>\n

            \n
          • \n
              sbt plugin\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/ul>\n<\/li>\n<\/ul>\n

               <\/p>\n

                \n
              • \n
                  IntelliJ\u8d77\u52d5\u5f8c sbt plugin\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/ul>\n<\/li>\n<\/ul>\n

                   <\/p>\n

                    \n
                  • \n
                      IntelliJ\u3067\u306eSpark\u8a2d\u5b9a\u306f\u4ee5\u4e0b\u306e\u8a18\u4e8b\u304c\u308f\u304b\u308a\u3084\u3059\u3044\uff01<\/ul>\n<\/li>\n<\/ul>\n

                       <\/p>\n

                        http:\/\/qiita.com\/imaifactory\/items\/823caa33639196f5459a<\/ul>\n

                        \u5199\u4ee3\u7801<\/h3>\n
                          \u672c\u4f53\uff1asbt\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306esrc > main > scala\u306b\u4f5c\u308b\u3002<\/ul>\n
                          package<\/span> org.apache.spark.examples.streaming<\/span>\r\n\r\nimport<\/span> org.apache.spark.<\/span>{<\/span>Logging<\/span>,<\/span> SparkConf<\/span>}<\/span>\r\nimport<\/span> org.apache.spark.streaming.<\/span>{<\/span>Seconds<\/span>,<\/span> StreamingContext<\/span>}<\/span>\r\nimport<\/span> org.apache.spark.storage.StorageLevel<\/span>\r\n\r\n\/**\r\n *  `$ nc -lk 9999`\u3067\u5165\u529b\u30c7\u30fc\u30bf\u3092\u8a2d\u5b9a\u3059\u308b\u3002\r\n *\/<\/span>\r\nobject<\/span> NetworkWordCount<\/span> extends<\/span> Logging<\/span> {<\/span>\r\n  def<\/span> main<\/span>(<\/span>args<\/span>:<\/span> Array<\/span>[<\/span>String<\/span>])<\/span> {<\/span>\r\n    val<\/span> sparkConf<\/span> =<\/span> new<\/span> SparkConf<\/span>().<\/span>setAppName<\/span>(<\/span>\"NetworkWordCount\"<\/span>)<\/span>\r\n    val<\/span> ssc<\/span> =<\/span> new<\/span> StreamingContext<\/span>(<\/span>sparkConf<\/span>,<\/span> Seconds<\/span>(<\/span>10<\/span>))<\/span>\r\n\r\n    \/\/ localhost:9999\u3067\u5165\u529b\u3092\u53d7\u3064\u3051\u308b\u3002<\/span>\r\n    val<\/span> lines<\/span> =<\/span> ssc<\/span>.<\/span>socketTextStream<\/span>(<\/span>\"localhost\"<\/span>,<\/span> 9999<\/span>,<\/span> StorageLevel<\/span>.<\/span>MEMORY_AND_DISK_SER<\/span>)<\/span>\r\n    val<\/span> words<\/span> =<\/span> lines<\/span>.<\/span>flatMap<\/span>(<\/span>_<\/span>.<\/span>split<\/span>(<\/span>\" \"<\/span>))<\/span>\r\n    val<\/span> wordCounts<\/span> =<\/span> words<\/span>.<\/span>map<\/span>(<\/span>x<\/span> =><\/span> (<\/span>x<\/span>,<\/span> 1<\/span>)).<\/span>reduceByKey<\/span>(<\/span>_<\/span> +<\/span> _<\/span>)<\/span>\r\n    wordCounts<\/span>.<\/span>print<\/span>()<\/span>\r\n\r\n    ssc<\/span>.<\/span>start<\/span>()<\/span>\r\n    ssc<\/span>.<\/span>awaitTermination<\/span>()<\/span>\r\n  }<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
                            \n
                          • \n
                              build\uff1asbt\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306ebuild.sbt\u3092\u4e0a\u66f8\u304d<\/ul>\n<\/li>\n<\/ul>\n
                               <\/p>\n
                                \n
                              • \n
                                  \u203b\u540d\u524d\u885d\u7a81\u3092\u907f\u3051\u308b\u305f\u3081Merge Strategy\u3092\u8a18\u8ff0\u3059\u308b\u3002<\/ul>\n<\/li>\n<\/ul>\n
                                   <\/p>\n
                                    https:\/\/github.com\/sbt\/sbt-assembly#merge-strategy \u3088\u308a<\/ul>\n
                                    name<\/span> :=<\/span> \"ss1\"<\/span>\r\n\r\nversion<\/span> :=<\/span> \"1.0\"<\/span>\r\n\r\nscalaVersion<\/span> :=<\/span> \"2.11.7\"<\/span>\r\n\r\nlibraryDependencies<\/span> ++=<\/span> Seq<\/span>(<\/span>\r\n  \"org.apache.spark\"<\/span> %<\/span> \"spark-core_2.11\"<\/span> %<\/span> \"1.5.2\"<\/span>,<\/span>\r\n  \"org.apache.spark\"<\/span> %<\/span> \"spark-streaming_2.11\"<\/span> %<\/span> \"1.5.2\"<\/span>\r\n)<\/span>\r\n\r\n\/\/ Merge Strategy<\/span>\r\nassemblyMergeStrategy<\/span> in<\/span> assembly<\/span> :=<\/span> {<\/span>\r\n  case<\/span> PathList<\/span>(<\/span>\"javax\"<\/span>,<\/span> \"servlet\"<\/span>,<\/span> xs<\/span> @<\/span> _<\/span>*)<\/span>         =><\/span> MergeStrategy<\/span>.<\/span>first<\/span>\r\n  case<\/span> PathList<\/span>(<\/span>ps<\/span> @<\/span> _<\/span>*)<\/span> if<\/span> ps<\/span>.<\/span>last<\/span> endsWith<\/span> \".class\"<\/span> =><\/span> MergeStrategy<\/span>.<\/span>first<\/span>\r\n  case<\/span> \"application.conf\"<\/span>                            =><\/span> MergeStrategy<\/span>.<\/span>concat<\/span>\r\n  case<\/span> \"unwanted.txt\"<\/span>                                =><\/span> MergeStrategy<\/span>.<\/span>discard<\/span>\r\n  case<\/span> x<\/span> =><\/span>\r\n    val<\/span> oldStrategy<\/span> =<\/span> (<\/span>assemblyMergeStrategy<\/span> in<\/span> assembly<\/span>).<\/span>value<\/span>\r\n    oldStrategy<\/span>(<\/span>x<\/span>)<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
                                      plugins\uff1asbt\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306eproject > plugins.sbt\u3092\u4e0a\u66f8\u304d<\/ul>\n
                                      logLevel<\/span> :=<\/span> Level<\/span>.<\/span>Warn<\/span>\r\n\r\naddSbtPlugin<\/span>(<\/span>\"com.eed3si9n\"<\/span> %<\/span> \"sbt-assembly\"<\/span> %<\/span> \"0.13.0\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                                        \n
                                      • \n
                                          github\uff1a\u4ee5\u4e0b\u306b\u4eca\u56de\u306e\u30b3\u30fc\u30c9\u301c\u53c2\u8003\u307e\u3067\u306b<\/ul>\n<\/li>\n<\/ul>\n
                                           <\/p>\n
                                            https:\/\/github.com\/kaz3284\/4qiita\/tree\/master\/sparkstreaming\/ss1<\/ul>\n
                                            \u5efa\u8bbe<\/h3>\n
                                            cd \/Users\/kaz3284\/github\/4qiita\/sparkstreaming\/ss1 #sbt\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30db\u30fc\u30e0\r\nsbt assembly\r\n<\/code><\/pre>\n
                                            \u6267\u884c<\/h3>\n
                                            \u6e96\u5099
                                            \npre-build\u7248\u3092DL\u3057\u3066\u5b9f\u884c\u74b0\u5883\u3092\u4f5c\u308b\u3002\u203b\u624b\u3082\u3068\u3067spark-submit\u3092\u52d5\u304b\u305b\u308b\u3088\u3046\u306b\u3059\u308b\u305f\u3081\u3002<\/p>\n
                                            \u4e0b\u8a18\u30ea\u30f3\u30af\u5148\u3067\u300c1.5.2\u300d\u300cPre-built for Hadoop 2.6 and later\u300d\u3092\u9078\u629e\u3057\u3066DL\u3001\u89e3\u51cd\u3057\u3066${SPARK_HOME}\u3068\u3059\u308b\u3002
                                            \nhttp:\/\/spark.apache.org\/downloads.html<\/p>\n
                                            sparkstreaming\u8d77\u52d5
                                            \nMac\u3067\u5b9f\u884c\u3059\u308b\u5834\u5408\u306e\u4f8b<\/p>\n
                                            export SPARK_HOME=\/Users\/kaz3284\/develop\/spark\/spark-1.5.2-bin-hadoop2.6\r\nexport SS_SRC=\/Users\/kaz3284\/github\/4qiita\/sparkstreaming\/ss1\r\n\r\n${SPARK_HOME}\/bin\/spark-submit ${SS_SRC}\/target\/scala-2.11\/ss1-assembly-1.0.jar\r\n<\/code><\/pre>\n
                                              nc\u3067\u30e1\u30c3\u30bb\u30fc\u30b8\u9001\u308b<\/ul>\n
                                              nc -lk 9999\r\n\r\nhello world hello world hello world\r\nhello world hello world\r\nhello world\r\n<\/code><\/pre>\n
                                                \u4e0b\u8a18\u306e\u3088\u3046\u306a\u6a19\u6e96\u51fa\u529b\u304c\u51fa\u308c\u3070\u624b\u3082\u3068\u3067\u52d5\u304b\u305b\u308bSparkStreaming\u30d7\u30ed\u30b0\u30e9\u30e0\u5b8c\u6210\uff01\uff01<\/ul>\n
                                                \"result_sc.png\"<\/div>\n
                                                  \u88dc\u8db3\uff1a\u958b\u767a\u6642\u306b\u4f59\u8a08\u306a\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u6d88\u3059\u5834\u5408\u306f\u4ee5\u4e0b\u3092\u5b9f\u65bd\u3059\u308b\u3002<\/ul>\n
                                                  cp ${SPARK_HOME}\/conf\/log4j.properties.template ${SPARK_HOME}\/conf\/log4j.properties\r\nvi ${SPARK_HOME}\/conf\/log4j.properties\r\n<\/code><\/pre>\n
                                                    \u4ee5\u4e0b\u306e\u3088\u3046\u306b\u6a19\u6e96\u51fa\u529b\u306e\u90e8\u5206\u3092INFO=> WARN\u3078<\/ul>\n
                                                    # Set everything to be logged to the console\r\n<\/span>log4j.rootCategory<\/span>=<\/span>WARN, console<\/span>\r\n<\/code><\/pre>\n
                                                    \u6700\u7ec8<\/h1>\n
                                                    \u8fd9\u6b21\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u53ef\u4ee5\u5728\u672c\u5730\u8fdb\u884c\u8c03\u8bd5\u7684SparkStreaming\u5f00\u53d1\u73af\u5883\uff01
                                                    \n\u63a5\u4e0b\u6765\u6211\u4eec\u5c06\u6269\u5c55\u6211\u4eec\u8fd9\u6b21\u521b\u5efa\u7684\u5f00\u53d1\u73af\u5883\u301c
                                                    \n\u4e0b\u4e00\u6b21\u6211\u4eec\u5c06\u4f7f\u7528\u66f4\u5b9e\u7528\u7684DataFrame\u548cSQL\u6765\u8fdb\u884c\u805a\u5408\u64cd\u4f5c\u7684\u5b9e\u73b0\u3002<\/p>\n
                                                    \u53ea\u9700\u4e00\u4e2a\u9009\u62e9\u6765\u4ee5\u4e2d\u6587\u672c\u5730\u5316\u91cd\u8ff0\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/h2>\n
                                                    \u4f5c\u4e3aSparkStreaming\u5f00\u53d1\u7684\u53c2\u8003<\/p>\n
                                                      \n
                                                    • \n
                                                        Spark Streaming Programming Guide<\/ul>\n<\/li>\n<\/ul>\n
                                                         <\/p>\n
                                                          \n
                                                        • \n
                                                            http:\/\/spark.apache.org\/docs\/latest\/streaming-programming-guide.html<\/ul>\n<\/li>\n<\/ul>\n
                                                            spark git
                                                            \nhttps:\/\/github.com\/apache\/spark<\/p>\n
                                                            spark docs
                                                            \nhttps:\/\/spark.apache.org\/docs\/1.5.0\/api\/scala\/index.html#org.apache.spark.package<\/p>\n","protected":false},"excerpt":{"rendered":"
                                                            \u4ecb\u7ecd \u8fd9\u7bc7\u5e16\u5b50\u662f\u4ee5”Advent Calendar 2015 .. 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