{"id":46868,"date":"2022-11-12T15:46:01","date_gmt":"2023-02-09T02:06:20","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8apache-flink%e5%92%8cscala%e5%af%b9%e4%bc%a0%e6%84%9f%e5%99%a8%e6%95%b0%e6%8d%ae%e8%bf%9b%e8%a1%8c%e7%aa%97%e5%8f%a3%e8%81%9a%e5%90%88%e3%80%82\/"},"modified":"2024-04-29T00:19:24","modified_gmt":"2024-04-28T16:19:24","slug":"%e4%bd%bf%e7%94%a8apache-flink%e5%92%8cscala%e5%af%b9%e4%bc%a0%e6%84%9f%e5%99%a8%e6%95%b0%e6%8d%ae%e8%bf%9b%e8%a1%8c%e7%aa%97%e5%8f%a3%e8%81%9a%e5%90%88%e3%80%82","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8apache-flink%e5%92%8cscala%e5%af%b9%e4%bc%a0%e6%84%9f%e5%99%a8%e6%95%b0%e6%8d%ae%e8%bf%9b%e8%a1%8c%e7%aa%97%e5%8f%a3%e8%81%9a%e5%90%88%e3%80%82\/","title":{"rendered":"\u4f7f\u7528Apache Flink\u548cScala\u5bf9\u4f20\u611f\u5668\u6570\u636e\u8fdb\u884c\u7a97\u53e3\u805a\u5408"},"content":{"rendered":"

\u6211\u6253\u7b97\u5c1d\u8bd5\u4f7f\u7528Apache Flink\u8fd9\u4e2a\u6d41\u5904\u7406\u6846\u67b6\uff0c\u7ee7\u7eed\u5b66\u4e60Spark Streaming\u548cKafka Streams\u4e4b\u540e\u3002\u7531\u4e8e\u6211\u5df2\u7ecf\u4f7f\u7528Python\u7f16\u5199\u4e86Spark Streaming\uff0c\u4f7f\u7528Java\u7f16\u5199\u4e86Kafka Streams\uff0c\u6240\u4ee5\u60f3\u5c1d\u8bd5\u7528Scala\u7f16\u5199Apache Flink\u3002<\/p>\n

Apache Flink\u4e0eKafka\u4e00\u6837\uff0c\u4e5f\u662f\u4f7f\u7528Scala\u7f16\u5199\u7684\u3002\u5b83\u5f3a\u8c03\u4e86Scala\u7684\u72ec\u7279\u7684\u5411\u540e\u517c\u5bb9\u6027\uff0c\u8fdb\u884c\u7740\u79ef\u6781\u7684\u5f00\u53d1\u3002\u56e0\u6b64\uff0c\u53ef\u4ee5\u5728\u7f51\u7edc\u4e0a\u627e\u5230\u7684\u4fe1\u606f\u5f88\u5feb\u5c31\u4f1a\u8fc7\u65f6\uff0cAPI\u4e5f\u5bb9\u6613\u88ab\u58f0\u660e\u4e3aDeprecated\u6216PublicEvolving\uff0c\u5bf9\u521d\u5b66\u8005\u6765\u8bf4\u6709\u70b9\u96be\u4ee5\u5165\u95e8\u7684\u60c5\u51b5\u3002\u867d\u7136\u5f88\u96be\u627e\u5230\u9002\u5408\u5b66\u4e60\u7684\u597d\u6587\u7ae0\uff0c\u4f46\u6211\u53c2\u8003\u4e86THE RISE OF BIG DATA STREAMING\u4e2d\u7684\u4f20\u611f\u5668\u6570\u636e\u7a97\u53e3\u805a\u5408\u7684\u5199\u6cd5\u3002<\/p>\n

\u9879\u76ee\u6a21\u677f<\/h2>\n

\u5728\u4e2d\u56fd\u4eba\u4e2d\u4f7f\u7528Apache Flink\u9879\u76ee\u65f6\uff0c\u4f7f\u7528Scala\u548cSBT\u521b\u5efa\u4e00\u4e2aFlink\u9879\u76ee\u6a21\u677f\u975e\u5e38\u65b9\u4fbf\u3002\u8ba9\u6211\u4eec\u9996\u5148\u4ee5\u6a21\u677f\u4e2d\u7684WordCount\u4f5c\u4e3a\u793a\u4f8b\u6765\u4e86\u89e3\u5982\u4f55\u4f7f\u7528\u3002\u8bf7\u514b\u9686\u8be5\u6a21\u677f\u3002<\/p>\n

$ cd ~\/scala_apps\r\n$ git clone https:\/\/github.com\/tillrohrmann\/flink-project.git\r\n<\/code><\/pre>\n
\u8fd9\u91cc\u6709\u51e0\u4e2a\u4f8b\u5b50\uff0c\u4f46\u6211\u4eec\u5c06\u4f7f\u7528WordCount.scala\u3002<\/p>\n
$ tree flink-project\r\nflink-project\/\r\n\u251c\u2500\u2500 build.sbt\r\n\u251c\u2500\u2500 idea.sbt\r\n\u251c\u2500\u2500 project\r\n\u2502   \u251c\u2500\u2500 assembly.sbt\r\n\u2502   \u2514\u2500\u2500 build.properties\r\n\u251c\u2500\u2500 README\r\n\u2514\u2500\u2500 src\r\n    \u2514\u2500\u2500 main\r\n        \u251c\u2500\u2500 resources\r\n        \u2502   \u2514\u2500\u2500 log4j.properties\r\n        \u2514\u2500\u2500 scala\r\n            \u2514\u2500\u2500 org\r\n                \u2514\u2500\u2500 example\r\n                    \u251c\u2500\u2500 Job.scala\r\n                    \u251c\u2500\u2500 SocketTextStreamWordCount.scala\r\n                    \u2514\u2500\u2500 WordCount.scala\r\n\r\n<\/code><\/pre>\n
\u5982\u679c\u8981\u4f7f\u7528ENSIME\uff0c\u8bf7\u53c2\u8003\u8fd9\u91cc\u521b\u5efa\u4e00\u4e2a.ensime\u6587\u4ef6\uff0c\u5e76\u5728Emacs\u4e2d\u4f7f\u7528M-x ensime\u547d\u4ee4\u3002<\/p>\n
$ cd ~\/scala_apps\/flink-project\r\n$ sbt\r\n> ensimeConfig\r\n<\/code><\/pre>\n
\u4ee5\u4e0b\u662fWordCount.scala\u7684\u4ee3\u7801\u3002\u5b83\u5c06\u8ba1\u7b97\u5305\u542b\u5728\u793a\u4f8b\u6587\u672c\u4e2d\u7684\u82f1\u6587\u5355\u8bcd\u6570\u91cf\u3002<\/p>\n
package<\/span> org.example<\/span>\r\nimport<\/span> org.apache.flink.api.scala._<\/span>\r\n\r\nobject<\/span> WordCount<\/span> {<\/span>\r\n  def<\/span> main<\/span>(<\/span>args<\/span>:<\/span> Array<\/span>[<\/span>String<\/span>])<\/span> {<\/span>\r\n\r\n    val<\/span> env<\/span> =<\/span> ExecutionEnvironment<\/span>.<\/span>getExecutionEnvironment<\/span>\r\n\r\n    val<\/span> text<\/span> =<\/span> env<\/span>.<\/span>fromElements<\/span>(<\/span>\"To be, or not to be,--that is the question:--\"<\/span>,<\/span>\r\n      \"Whether 'tis nobler in the mind to suffer\"<\/span>,<\/span> \"The slings and arrows of outrageous fortune\"<\/span>,<\/span>\r\n      \"Or to take arms against a sea of troubles,\"<\/span>)<\/span>\r\n\r\n    val<\/span> counts<\/span> =<\/span> text<\/span>.<\/span>flatMap<\/span> {<\/span> _<\/span>.<\/span>toLowerCase<\/span>.<\/span>split<\/span>(<\/span>\"\\\\W+\"<\/span>)<\/span> }<\/span>\r\n      .<\/span>map<\/span> {<\/span> (<\/span>_<\/span>,<\/span> 1<\/span>)<\/span> }<\/span>\r\n      .<\/span>groupBy<\/span>(<\/span>0<\/span>)<\/span>\r\n      .<\/span>sum<\/span>(<\/span>1<\/span>)<\/span>\r\n\r\n    counts<\/span>.<\/span>print<\/span>()<\/span>\r\n\r\n  }<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
\u5728\u9879\u76ee\u76ee\u5f55\u4e2d\u8fd0\u884csbt\u7684run\u547d\u4ee4\u3002\u7531\u4e8e\u6709\u51e0\u4e2a\u5b9e\u73b0\u4e86main\u65b9\u6cd5\u7684\u7c7b\uff0c\u6240\u4ee5\u8f93\u5165WordCount 3\u3002<\/p>\n
$ cd ~\/scala_apps\/flink-project\r\n$ sbt\r\n> run\r\nMultiple main classes detected, select one to run:\r\n\r\n [1] org.example.Job\r\n [2] org.example.SocketTextStreamWordCount\r\n [3] org.example.WordCount\r\n\r\nEnter number:3\r\n<\/code><\/pre>\n
\u8fd0\u884c\u540e\uff0c\u5c06\u8ba1\u7b97\u5e76\u8f93\u51fa\u6587\u672c\u4e2d\u5305\u542b\u7684\u82f1\u6587\u5355\u8bcd\u6570\u91cf\u3002<\/p>\n
 (a,1)\r\n (fortune,1)\r\n (in,1)\r\n (mind,1)\r\n (or,2)\r\n (question,1)\r\n (slings,1)\r\n (suffer,1)\r\n (take,1)\r\n (that,1)\r\n (to,4)\r\n<\/code><\/pre>\n
\u6587\u672c\u6570\u636e\u662f\u901a\u8fc7ExecutionEnvironment\u7684fromElements\u65b9\u6cd5\u521b\u5efa\u7684DataSource\u3002<\/p>\n
    val<\/span> env<\/span> =<\/span> ExecutionEnvironment<\/span>.<\/span>getExecutionEnvironment<\/span>\r\n\r\n    val<\/span> text<\/span> =<\/span> env<\/span>.<\/span>fromElements<\/span>(<\/span>\"To be, or not to be,--that is the question:--\"<\/span>,<\/span>\r\n      \"Whether 'tis nobler in the mind to suffer\"<\/span>,<\/span> \"The slings and arrows of outrageous fortune\"<\/span>,<\/span>\r\n      \"Or to take arms against a sea of troubles,\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u5728Apache Flink\u7684Scala\u4e2d\uff0c\u5c3d\u7ba1\u53ef\u4ee5\u66f4\u7b80\u6d01\u5730\u7f16\u5199\u4ee3\u7801\uff0c\u4f46\u6709\u65f6\u5019\u5f88\u96be\u7406\u89e3\u4e0b\u5212\u7ebf\u3001map\u548cgroupBy\u4e2d\u51fa\u73b0\u76840\u548c1\u4ee3\u8868\u7684\u662f\u4ec0\u4e48\u3002\u5728Apache Flink\u7684\u5143\u7ec4\u4e2d\uff0c\u5f53\u901a\u8fc7field\u6307\u5b9a\u65f6\uff0c\u662f\u4ece\u96f6\u5f00\u59cb\u7d22\u5f15\u7684\uff0c\u6240\u4ee5\u987a\u5e8f\u4f9d\u6b21\u662f0\u548c1\u3002<\/p>\n
    val<\/span> counts<\/span> =<\/span> text<\/span>.<\/span>flatMap<\/span> {<\/span> _<\/span>.<\/span>toLowerCase<\/span>.<\/span>split<\/span>(<\/span>\"\\\\W+\"<\/span>)<\/span> }<\/span>\r\n      .<\/span>map<\/span> {<\/span> (<\/span>_<\/span>,<\/span> 1<\/span>)<\/span> }<\/span>\r\n      .<\/span>groupBy<\/span>(<\/span>0<\/span>)<\/span>\r\n      .<\/span>sum<\/span>(<\/span>1<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u4f7f\u7528flatMap\u548c\u6b63\u5219\u8868\u8fbe\u5f0f\u5c06\u6587\u672c\u6570\u636e\u5206\u5272\u6210\u5355\u8bcd\uff0c\u5e76\u521b\u5efa\u4e00\u4e2aDataSet\u3002\u4f7f\u7528map()\u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u7531\u5355\u8bcd(_)\u548c\u6570\u5b57(1)\u7ec4\u6210\u7684Tuple\u7684DataSet\u3002\u4f7f\u7528groupBy()\u51fd\u6570\uff0c\u5e76\u6307\u5b9a\u5b57\u6bb50\u6765\u6309\u7167\u5355\u8bcd\u8fdb\u884c\u5206\u7ec4\uff0c\u521b\u5efa\u4e00\u4e2a\u6309\u5355\u8bcd\u5206\u7ec4\u7684GroupedDataSet\u3002\u6700\u540e\uff0c\u4f7f\u7528sum()\u51fd\u6570\u7684\u53c2\u6570\u6307\u5b9a\u5b57\u6bb51\uff0c\u5c06\u5355\u8bcd\u548c\u5355\u8bcd\u603b\u6570\u7ec4\u6210\u4e00\u4e2aTuple\u7684AggregateDataSet\u3002<\/p>\n
\u7a97\u53e3\u6c47\u603b<\/h2>\n
\u4f7f\u7528\u6b64\u6a21\u677f\u9879\u76ee\uff0c\u7f16\u5199\u4e00\u4e2a\u7a0b\u5e8f\uff0c\u4f7f\u752860\u79d2\u7684\u6eda\u52a8\u7a97\u53e3\u805a\u5408\u4f20\u611f\u5668\u6570\u636e\uff0c\u5e76\u8ba1\u7b97\u5468\u56f4\u6e29\u5ea6(ambient)\u7684\u5e73\u5747\u503c\u3002\u7531\u4e8e\u4f7f\u7528Kafka\u4f5c\u4e3a\u6570\u636e\u6e90\uff0c\u6240\u4ee5\u53c2\u8003\u6b64\u6587\u6863\u5c06\u6765\u81eaRaspberry Pi 3\u7684SensorTag\u6570\u636e\u53d1\u9001\u5230Kafka\u3002<\/p>\n
Raspberry Pi 3 -> Source (Kafka) -> \u30b9\u30c8\u30ea\u30fc\u30e0\u51e6\u7406 -> Sink (Kafka)\r\n<\/code><\/pre>\n
\u514b\u9686\u6a21\u677f\u9879\u76ee\u540e\uff0c\u5220\u9664\u73b0\u6709\u6587\u4ef6\u3002<\/p>\n
$ cd ~\/scala_apps\r\n$ git clone https:\/\/github.com\/tillrohrmann\/flink-project.git streams-flink-scala-examples\r\n$ cd streams-flink-scala-examples\r\n$ rm -fr src\/main\/scala\/org\/\r\n<\/code><\/pre>\n
\u521b\u5efaScala\u7684\u5305\u76ee\u5f55\u3002<\/p>\n
$ mkdir -p src\/main\/scala\/com\/github\/masato\/streams\/flink\r\n<\/code><\/pre>\n
\u6784\u5efa\u6587\u4ef6.sbt<\/h3>\n
Kafka \u4f7f\u7528\u4e0e\u6211\u4eec\u76f8\u540c\u7684 landoop\/fast-data-dev Docker \u6620\u50cf\u3002 \u7248\u672c\u4e3a 0.10.2.1\u3002 \u6211\u4eec\u5c06\u6dfb\u52a0\u652f\u6301 Kafka 0.10 \u7684\u8f6f\u4ef6\u5305\u3002<\/p>\n
val<\/span> flinkVersion<\/span> =<\/span> \"1.3.2\"<\/span>\r\n\r\nval<\/span> flinkDependencies<\/span> =<\/span> Seq<\/span>(<\/span>\r\n  \"org.apache.flink\"<\/span> %%<\/span> \"flink-scala\"<\/span> %<\/span> flinkVersion<\/span> %<\/span> \"provided\"<\/span>,<\/span>\r\n  \"org.apache.flink\"<\/span> %%<\/span> \"flink-streaming-scala\"<\/span> %<\/span> flinkVersion<\/span> %<\/span> \"provided\"<\/span>,<\/span>\r\n  \"org.apache.flink\"<\/span> %%<\/span> \"flink-connector-kafka-0.10\"<\/span> %<\/span> flinkVersion<\/span>)<\/span>\r\n\r\nval<\/span> otherDependencies<\/span> =<\/span> Seq<\/span>(<\/span>\r\n   \"com.typesafe\"<\/span> %<\/span> \"config\"<\/span> %<\/span> \"1.3.1\"<\/span>\r\n)<\/span>\r\n\r\nlazy<\/span> val<\/span> root<\/span> =<\/span> (<\/span>project<\/span> in<\/span> file<\/span>(<\/span>\".\"<\/span>)).<\/span>\r\n  settings<\/span>(<\/span>\r\n    libraryDependencies<\/span> ++=<\/span> flinkDependencies<\/span>,<\/span>\r\n    libraryDependencies<\/span> ++=<\/span> otherDependencies<\/span>\r\n  )<\/span>\r\n\r\nmainClass<\/span> in<\/span> assembly<\/span> :=<\/span> Some<\/span>(<\/span>\"com.github.masato.streams.flink.App\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
App.scala \u7684\u4e2d\u6587\u91ca\u4e49\u662f\u4ec0\u4e48?<\/h3>\n
\u4ee5\u4e0b\u662f\u5b9e\u73b0\u4e86\u4e3b\u8981\u65b9\u6cd5\u7684\u7a0b\u5e8f\u7684\u5b8c\u6574\u5185\u5bb9\u3002Kafka\u8fde\u63a5\u4fe1\u606f\u7b49\u4f7f\u7528config\u8fdb\u884c\u914d\u7f6e\uff0c\u5e76\u5728\u8bbe\u7f6e\u6587\u4ef6\u4e2d\u5b9a\u4e49\u3002\u6e90\u4ee3\u7801\u4e5f\u5b58\u50a8\u5728\u4ee3\u7801\u5e93\u4e2d\u3002<\/p>\n
package<\/span> com.github.masato.streams.flink<\/span>\r\n\r\nimport<\/span> java.util.Properties<\/span>\r\nimport<\/span> java.time.ZoneId<\/span>;<\/span>\r\nimport<\/span> java.time.format.DateTimeFormatter<\/span>\r\nimport<\/span> java.util.Date<\/span>\r\n\r\nimport<\/span> org.apache.flink.streaming.api.TimeCharacteristic<\/span>\r\nimport<\/span> org.apache.flink.streaming.api.scala._<\/span>\r\nimport<\/span> org.apache.flink.streaming.api.functions.IngestionTimeExtractor<\/span>\r\nimport<\/span> org.apache.flink.streaming.api.functions.timestamps.BoundedOutOfOrdernessTimestampExtractor<\/span>\r\nimport<\/span> org.apache.flink.streaming.api.windowing.time.Time<\/span>\r\nimport<\/span> org.apache.flink.streaming.api.windowing.windows.TimeWindow<\/span>\r\nimport<\/span> org.apache.flink.streaming.connectors.kafka.<\/span>{<\/span>FlinkKafkaConsumer010<\/span>,<\/span>FlinkKafkaProducer010<\/span>}<\/span>\r\nimport<\/span> org.apache.flink.streaming.util.serialization.<\/span>{<\/span>JSONDeserializationSchema<\/span>,<\/span>SimpleStringSchema<\/span>}<\/span>\r\nimport<\/span> org.apache.flink.api.common.functions.AggregateFunction<\/span>\r\n\r\nimport<\/span> org.apache.flink.util.Collector<\/span>\r\nimport<\/span> com.fasterxml.jackson.databind.node.ObjectNode<\/span>\r\nimport<\/span> scala.util.parsing.json.JSONObject<\/span>\r\nimport<\/span> com.typesafe.config.ConfigFactory<\/span>\r\n\r\ncase<\/span> class<\/span> Accumulator<\/span>(<\/span>time<\/span>:<\/span> Long<\/span>,<\/span> bid<\/span>:<\/span> String<\/span>,<\/span> var<\/span> sum<\/span>:<\/span> Double<\/span>,<\/span> var<\/span> count<\/span>:<\/span> Int<\/span>)<\/span>\r\n\r\nclass<\/span> Aggregate<\/span> extends<\/span> AggregateFunction<\/span>[(<\/span>String<\/span>, Double<\/span>)<\/span>, Accumulator<\/span>,Accumulator<\/span>]<\/span> {<\/span>\r\n\r\n  override<\/span> def<\/span> createAccumulator<\/span>()<\/span>:<\/span> Accumulator<\/span> =<\/span> {<\/span>\r\n    return<\/span> Accumulator<\/span>(<\/span>0L<\/span>,<\/span> \"\"<\/span>,<\/span> 0.0<\/span>,<\/span> 0<\/span>)<\/span>\r\n  }<\/span>\r\n\r\n  override<\/span> def<\/span> merge<\/span>(<\/span>a<\/span>:<\/span> Accumulator<\/span>,<\/span> b<\/span>:<\/span> Accumulator<\/span>)<\/span>:<\/span> Accumulator<\/span> =<\/span> {<\/span>\r\n    a<\/span>.<\/span>sum<\/span> +=<\/span> b<\/span>.<\/span>sum<\/span>\r\n    a<\/span>.<\/span>count<\/span> +=<\/span> b<\/span>.<\/span>count<\/span>\r\n    return<\/span> a<\/span>\r\n  }<\/span>\r\n\r\n  override<\/span> def<\/span> add<\/span>(<\/span>value<\/span>:<\/span> (<\/span>String<\/span>,<\/span> Double<\/span>),<\/span> acc<\/span>:<\/span> Accumulator<\/span>)<\/span>:<\/span> Unit<\/span> =<\/span> {<\/span>\r\n    acc<\/span>.<\/span>sum<\/span> +=<\/span> value<\/span>.<\/span>_2<\/span>\r\n    acc<\/span>.<\/span>count<\/span> +=<\/span> 1<\/span>\r\n  }<\/span>\r\n\r\n  override<\/span> def<\/span> getResult<\/span>(<\/span>acc<\/span>:<\/span> Accumulator<\/span>)<\/span>:<\/span> Accumulator<\/span> =<\/span> {<\/span>\r\n    return<\/span> acc<\/span>\r\n  }<\/span>\r\n}<\/span>\r\n\r\nobject<\/span> App<\/span> {<\/span>\r\n  val<\/span> fmt<\/span> =<\/span> DateTimeFormatter<\/span>.<\/span>ISO_OFFSET_DATE_TIME<\/span>\r\n\r\n  val<\/span> conf<\/span> =<\/span> ConfigFactory<\/span>.<\/span>load<\/span>()<\/span>\r\n  val<\/span> bootstrapServers<\/span> =<\/span> conf<\/span>.<\/span>getString<\/span>(<\/span>\"app.bootstrap-servers\"<\/span>)<\/span>\r\n  val<\/span> groupId<\/span> =<\/span> conf<\/span>.<\/span>getString<\/span>(<\/span>\"app.group-id\"<\/span>)<\/span>\r\n  val<\/span> sourceTopic<\/span> =<\/span> conf<\/span>.<\/span>getString<\/span>(<\/span>\"app.source-topic\"<\/span>)<\/span>\r\n  val<\/span> sinkTopic<\/span> =<\/span> conf<\/span>.<\/span>getString<\/span>(<\/span>\"app.sink-topic\"<\/span>)<\/span>\r\n\r\n  def<\/span> main<\/span>(<\/span>args<\/span>:<\/span> Array<\/span>[<\/span>String<\/span>])<\/span>:<\/span> Unit<\/span> =<\/span> {<\/span>\r\n    val<\/span> props<\/span> =<\/span> new<\/span> Properties<\/span>()<\/span>\r\n    props<\/span>.<\/span>setProperty<\/span>(<\/span>\"bootstrap.servers\"<\/span>,<\/span> bootstrapServers<\/span>)<\/span>\r\n    props<\/span>.<\/span>setProperty<\/span>(<\/span>\"group.id\"<\/span>,<\/span> groupId<\/span>)<\/span>\r\n\r\n    val<\/span> env<\/span> =<\/span> StreamExecutionEnvironment<\/span>.<\/span>getExecutionEnvironment<\/span>\r\n    env<\/span>.<\/span>setStreamTimeCharacteristic<\/span>(<\/span>TimeCharacteristic<\/span>.<\/span>EventTime<\/span>)<\/span>\r\n\r\n    val<\/span> source<\/span> =<\/span> new<\/span> FlinkKafkaConsumer010<\/span>[<\/span>ObjectNode<\/span>](<\/span>\r\n      sourceTopic<\/span>,<\/span> new<\/span> JSONDeserializationSchema<\/span>(),<\/span> props<\/span>)<\/span>\r\n\r\n    val<\/span> events<\/span> =<\/span> env<\/span>.<\/span>addSource<\/span>(<\/span>source<\/span>).<\/span>name<\/span>(<\/span>\"events\"<\/span>)<\/span>\r\n\r\n    val<\/span> timestamped<\/span> =<\/span> events<\/span>.<\/span>assignTimestampsAndWatermarks<\/span>(<\/span>\r\n      new<\/span> BoundedOutOfOrdernessTimestampExtractor<\/span>[<\/span>ObjectNode<\/span>](<\/span>Time<\/span>.<\/span>seconds<\/span>(<\/span>10<\/span>))<\/span> {<\/span>\r\n        override<\/span> def<\/span> extractTimestamp<\/span>(<\/span>element<\/span>:<\/span> ObjectNode<\/span>)<\/span>:<\/span> Long<\/span> =<\/span> element<\/span>.<\/span>get<\/span>(<\/span>\"time\"<\/span>).<\/span>asLong<\/span> *<\/span> 1000<\/span>\r\n      })<\/span>\r\n\r\n    timestamped<\/span>\r\n      .<\/span>map<\/span> {<\/span> v<\/span> =><\/span>\r\n        val<\/span> key<\/span> =<\/span>  v<\/span>.<\/span>get<\/span>(<\/span>\"bid\"<\/span>).<\/span>asText<\/span>\r\n        val<\/span> ambient<\/span> =<\/span> v<\/span>.<\/span>get<\/span>(<\/span>\"ambient\"<\/span>).<\/span>asDouble<\/span>\r\n        (<\/span>key<\/span>,<\/span> ambient<\/span>)<\/span>\r\n      }<\/span>\r\n      .<\/span>keyBy<\/span>(<\/span>v<\/span> =><\/span> v<\/span>.<\/span>_1<\/span>)<\/span>\r\n      .<\/span>timeWindow<\/span>(<\/span>Time<\/span>.<\/span>seconds<\/span>(<\/span>60<\/span>))<\/span>\r\n      .<\/span>aggregate<\/span>(<\/span>new<\/span> Aggregate<\/span>(),<\/span>\r\n        (<\/span> key<\/span>:<\/span> String<\/span>,<\/span>\r\n          window<\/span>:<\/span> TimeWindow<\/span>,<\/span>\r\n          input<\/span>:<\/span> Iterable<\/span>[<\/span>Accumulator<\/span>],<\/span>\r\n          out<\/span>:<\/span> Collector<\/span>[<\/span>Accumulator<\/span>]<\/span> )<\/span> =><\/span> {<\/span>\r\n            var<\/span> in<\/span> =<\/span> input<\/span>.<\/span>iterator<\/span>.<\/span>next<\/span>()<\/span>\r\n            out<\/span>.<\/span>collect<\/span>(<\/span>Accumulator<\/span>(<\/span>window<\/span>.<\/span>getEnd<\/span>,<\/span> key<\/span>,<\/span> in<\/span>.<\/span>sum<\/span>\/<\/span>in<\/span>.<\/span>count<\/span>,<\/span> in<\/span>.<\/span>count<\/span>))<\/span>\r\n          }<\/span>\r\n      )<\/span>\r\n      .<\/span>map<\/span> {<\/span> v<\/span> =><\/span>\r\n        val<\/span> zdt<\/span> =<\/span> new<\/span> Date<\/span>(<\/span>v<\/span>.<\/span>time<\/span>).<\/span>toInstant<\/span>().<\/span>atZone<\/span>(<\/span>ZoneId<\/span>.<\/span>systemDefault<\/span>())<\/span>\r\n        val<\/span> time<\/span> =<\/span> fmt<\/span>.<\/span>format<\/span>(<\/span>zdt<\/span>)<\/span>\r\n        val<\/span> json<\/span> =<\/span> Map<\/span>(<\/span>\"time\"<\/span> -><\/span> time<\/span>,<\/span> \"bid\"<\/span> -><\/span> v<\/span>.<\/span>bid<\/span>,<\/span> \"ambient\"<\/span> -><\/span> v<\/span>.<\/span>sum<\/span>)<\/span>\r\n        val<\/span> retval<\/span> =<\/span> JSONObject<\/span>(<\/span>json<\/span>).<\/span>toString<\/span>()<\/span>\r\n        println<\/span>(<\/span>retval<\/span>)<\/span>\r\n        retval<\/span>\r\n      }<\/span>\r\n      .<\/span>addSink<\/span>(<\/span>new<\/span> FlinkKafkaProducer010<\/span>[<\/span>String<\/span>](<\/span>\r\n        bootstrapServers<\/span>,<\/span>\r\n        sinkTopic<\/span>,<\/span>\r\n        new<\/span> SimpleStringSchema<\/span>)<\/span>\r\n      ).<\/span>name<\/span>(<\/span>\"kafka\"<\/span>)<\/span>\r\n    env<\/span>.<\/span>execute<\/span>()<\/span>\r\n  }<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
\u6211\u4eec\u5c06\u6309\u987a\u5e8f\u67e5\u770bmain()\u51fd\u6570\u7684\u5904\u7406\u3002\u9996\u5148\u8fdb\u884c\u4e0eKafka\u8fde\u63a5\u7684\u8bbe\u7f6e\u3002\u7531\u4e8e\u8fde\u63a5\u7684Kafka\u7248\u672c\u4e3a0.10\uff0c\u6211\u4eec\u5c06\u4f7f\u7528FlinkKafkaConsumer010\u3002\u6765\u81ea\u6811\u8393\u6d3e3\u7684\u4f20\u611f\u5668\u6570\u636e\u91c7\u7528\u4ee5\u4e0bJSON\u683c\u5f0f\u3002<\/p>\n
{'bid': 'B0:B4:48:BE:5E:00', 'time': 1503527847, 'humidity': 26.55792236328125, 'objecttemp': 22.3125, 'ambient': 26.375, 'rh': 76.983642578125}\r\n<\/code><\/pre>\n
\u4f7f\u7528JSONDeserializationSchema\u8fdb\u884c\u53cd\u5e8f\u5217\u5316\u3002<\/p>\n
    val<\/span> props<\/span> =<\/span> new<\/span> Properties<\/span>()<\/span>\r\n    props<\/span>.<\/span>setProperty<\/span>(<\/span>\"bootstrap.servers\"<\/span>,<\/span> bootstrapServers<\/span>)<\/span>\r\n    props<\/span>.<\/span>setProperty<\/span>(<\/span>\"group.id\"<\/span>,<\/span> groupId<\/span>)<\/span>\r\n\r\n    val<\/span> env<\/span> =<\/span> StreamExecutionEnvironment<\/span>.<\/span>getExecutionEnvironment<\/span>\r\n    env<\/span>.<\/span>setStreamTimeCharacteristic<\/span>(<\/span>TimeCharacteristic<\/span>.<\/span>EventTime<\/span>)<\/span>\r\n\r\n    val<\/span> source<\/span> =<\/span> new<\/span> FlinkKafkaConsumer010<\/span>[<\/span>ObjectNode<\/span>](<\/span>\r\n      sourceTopic<\/span>,<\/span> new<\/span> JSONDeserializationSchema<\/span>(),<\/span> props<\/span>)<\/span>\r\n<\/code><\/pre>\n
Apache Flink\u7684\u65f6\u95f4\u6a21\u578b\u88ab\u8bbe\u7f6e\u4e3a\u4e8b\u4ef6\u65f6\u95f4\uff08TimeCharacteristic.EventTime\uff09\u3002\u6211\u4eec\u5c06\u4f20\u611f\u5668\u6570\u636e\u7684time\u5b57\u6bb5\u7528\u4f5c\u65f6\u95f4\u6233\u548c\u6c34\u5370\u3002<\/p>\n
    val<\/span> events<\/span> =<\/span> env<\/span>.<\/span>addSource<\/span>(<\/span>source<\/span>).<\/span>name<\/span>(<\/span>\"events\"<\/span>)<\/span>\r\n\r\n    val<\/span> timestamped<\/span> =<\/span> events<\/span>.<\/span>assignTimestampsAndWatermarks<\/span>(<\/span>\r\n      new<\/span> BoundedOutOfOrdernessTimestampExtractor<\/span>[<\/span>ObjectNode<\/span>](<\/span>Time<\/span>.<\/span>seconds<\/span>(<\/span>10<\/span>))<\/span> {<\/span>\r\n        override<\/span> def<\/span> extractTimestamp<\/span>(<\/span>element<\/span>:<\/span> ObjectNode<\/span>)<\/span>:<\/span> Long<\/span> =<\/span> element<\/span>.<\/span>get<\/span>(<\/span>\"time\"<\/span>).<\/span>asLong<\/span> *<\/span> 1000<\/span>\r\n      })<\/span>\r\n<\/code><\/pre>\n
\u4ece\u4f20\u611f\u5668\u4e2d\u53ef\u4ee5\u83b7\u53d6\u5230\u4e00\u4e9b\u6570\u636e\uff0c\u4f46\u5728\u8fd9\u91cc\u6211\u4eec\u53ea\u4f7f\u7528\u73af\u5883\u6e29\u5ea6\u7684\u503c\u3002\u4f7f\u7528map()\u51fd\u6570\u4ee5SensorTag\u7684\u84dd\u7259\u5730\u5740\u4f5c\u4e3a\u952e\u6765\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Tuple\u3002<\/p>\n
    timestamped<\/span>\r\n      .<\/span>map<\/span> {<\/span> v<\/span> =><\/span>\r\n        val<\/span> key<\/span> =<\/span>  v<\/span>.<\/span>get<\/span>(<\/span>\"bid\"<\/span>).<\/span>asText<\/span>\r\n        val<\/span> ambient<\/span> =<\/span> v<\/span>.<\/span>get<\/span>(<\/span>\"ambient\"<\/span>).<\/span>asDouble<\/span>\r\n        (<\/span>key<\/span>,<\/span> ambient<\/span>)<\/span>\r\n      }<\/span>\r\n<\/code><\/pre>\n
\u4f7f\u7528DataStream\u7684keyBy()\u65b9\u6cd5\uff0c\u4ee5Tuple\u7684\u7d22\u5f151\u6307\u5b9aBD\u5730\u5740\u4f5c\u4e3a\u952e\u521b\u5efa\u4e86\u4e00\u4e2aKeyedStream\u3002<\/p>\n
      .<\/span>keyBy<\/span>(<\/span>v<\/span> =><\/span> v<\/span>.<\/span>_1<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u4f7f\u7528timeWindow()\u65b9\u6cd5\u521b\u5efa\u4e86\u4e00\u4e2a\u8bbe\u5b9a\u4e3a60\u79d2\u7684\u6eda\u52a8\u7a97\u53e3\u7684WindowedStream\u3002<\/p>\n
      .<\/span>timeWindow<\/span>(<\/span>Time<\/span>.<\/span>seconds<\/span>(<\/span>60<\/span>))<\/span>\r\n<\/code><\/pre>\n
\u57281.3\u7248\u672c\u4e2d\uff0capply()\u5df2\u88ab\u5f03\u7528\u3002\u4e4b\u524d\uff0c\u53ef\u4ee5\u8fd9\u6837\u5199\uff1a<\/p>\n
      .<\/span>apply<\/span>(<\/span>\r\n        (<\/span>0L<\/span>,<\/span> \"\"<\/span>,<\/span> 0.0<\/span>,<\/span> 0<\/span>),<\/span>\r\n        (<\/span>acc<\/span>:<\/span> (<\/span>Long<\/span>,<\/span> String<\/span>,<\/span> Double<\/span>,<\/span> Int<\/span>),<\/span>\r\n         v<\/span>:<\/span> (<\/span>String<\/span>,<\/span> Double<\/span>))<\/span> =><\/span> {<\/span> (<\/span>0L<\/span>,<\/span> v<\/span>.<\/span>_1<\/span>,<\/span> acc<\/span>.<\/span>_3<\/span> +<\/span> v<\/span>.<\/span>_2<\/span>,<\/span> acc<\/span>.<\/span>_4<\/span> +<\/span> 1<\/span>)<\/span> },<\/span>\r\n        (<\/span> window<\/span>:<\/span> TimeWindow<\/span>,<\/span>\r\n          counts<\/span>:<\/span> Iterable<\/span>[(<\/span>Long<\/span>, String<\/span>, Double<\/span>, Int<\/span>)],<\/span>\r\n          out<\/span>:<\/span> Collector<\/span>[(<\/span>Long<\/span>, String<\/span>, Double<\/span>, Int<\/span>)]<\/span> )<\/span> =><\/span> {<\/span>\r\n            var<\/span> count<\/span> =<\/span> counts<\/span>.<\/span>iterator<\/span>.<\/span>next<\/span>()<\/span>\r\n            out<\/span>.<\/span>collect<\/span>((<\/span>window<\/span>.<\/span>getEnd<\/span>,<\/span> count<\/span>.<\/span>_2<\/span>,<\/span> count<\/span>.<\/span>_3<\/span>\/<\/span>count<\/span>.<\/span>_4<\/span>,<\/span> count<\/span>.<\/span>_4<\/span>))<\/span>\r\n          }<\/span>\r\n      )<\/span>\r\n<\/code><\/pre>\n
\u53e6\u5916\uff0c\u7531\u4e8efold()\u4e5f\u88ab\u6807\u8bb0\u4e3a\u5f03\u7528\uff0c\u6211\u4eec\u63a8\u8350\u4f7f\u7528aggregate()\u8fdb\u884c\u5c1d\u8bd5\u3002aggregate()\u5b9e\u73b0\u4e86AggregateFunction\u3002\u53ef\u4ee5\u50cfapply()\u7684\u793a\u4f8b\u4e00\u6837\u4f7f\u7528\u5143\u7ec4\uff0c\u4f46\u5c06\u5176\u8f6c\u6362\u4e3acase\u7c7b\u4f1a\u66f4\u6613\u8bfb\u4e00\u4e9b\u3002<\/p>\n
      .<\/span>aggregate<\/span>(<\/span>new<\/span> Aggregate<\/span>(),<\/span>\r\n        (<\/span> key<\/span>:<\/span> String<\/span>,<\/span>\r\n          window<\/span>:<\/span> TimeWindow<\/span>,<\/span>\r\n          input<\/span>:<\/span> Iterable<\/span>[<\/span>Accumulator<\/span>],<\/span>\r\n          out<\/span>:<\/span> Collector<\/span>[<\/span>Accumulator<\/span>]<\/span> )<\/span> =><\/span> {<\/span>\r\n            var<\/span> in<\/span> =<\/span> input<\/span>.<\/span>iterator<\/span>.<\/span>next<\/span>()<\/span>\r\n            out<\/span>.<\/span>collect<\/span>(<\/span>Accumulator<\/span>(<\/span>window<\/span>.<\/span>getEnd<\/span>,<\/span> key<\/span>,<\/span> in<\/span>.<\/span>sum<\/span>\/<\/span>in<\/span>.<\/span>count<\/span>,<\/span> in<\/span>.<\/span>count<\/span>))<\/span>\r\n          }<\/span>\r\n      )<\/span>\r\n<\/code><\/pre>\n
\u4e3a\u4e86\u65b9\u4fbf\u4e0e\u5916\u90e8\u7cfb\u7edf\u8fdb\u884c\u534f\u4f5c\uff0c\u6570\u636e\u6d41\u4f1a\u88ab\u6620\u5c04\u4e3a\u5e26\u6709\u65f6\u533a\u7684ISO-8601\u683c\u5f0f\u7684JSON\u5b57\u7b26\u4e32\uff0c\u5e76\u4f7f\u7528UNIX\u65f6\u95f4\u8fdb\u884cmap()\u64cd\u4f5c\u3002\u8fd9\u91cc\u4e3a\u4e86\u8c03\u8bd5\u76ee\u7684\uff0cJSON\u5b57\u7b26\u4e32\u88ab\u8f93\u51fa\u5230\u6807\u51c6\u8f93\u51fa\u3002<\/p>\n
      .<\/span>map<\/span> {<\/span> v<\/span> =><\/span>\r\n        val<\/span> zdt<\/span> =<\/span> new<\/span> Date<\/span>(<\/span>v<\/span>.<\/span>time<\/span>).<\/span>toInstant<\/span>().<\/span>atZone<\/span>(<\/span>ZoneId<\/span>.<\/span>systemDefault<\/span>())<\/span>\r\n        val<\/span> time<\/span> =<\/span> fmt<\/span>.<\/span>format<\/span>(<\/span>zdt<\/span>)<\/span>\r\n        val<\/span> json<\/span> =<\/span> Map<\/span>(<\/span>\"time\"<\/span> -><\/span> time<\/span>,<\/span> \"bid\"<\/span> -><\/span> v<\/span>.<\/span>bid<\/span>,<\/span> \"ambient\"<\/span> -><\/span> v<\/span>.<\/span>sum<\/span>)<\/span>\r\n        val<\/span> retval<\/span> =<\/span> JSONObject<\/span>(<\/span>json<\/span>).<\/span>toString<\/span>()<\/span>\r\n        println<\/span>(<\/span>retval<\/span>)<\/span>\r\n        retval<\/span>\r\n      }<\/span>\r\n<\/code><\/pre>\n
\u5728\u6700\u540e\uff0c\u5c06\u6570\u636e\u6d41Sink\u5230Kafka\u4e2d\u3002\u5982\u679c\u7ed9Sink\u547d\u540d\u4e3aname\uff08”kafka”\uff09\uff0c\u5219\u4f1a\u5728\u8fd0\u884c\u65f6\u7684\u65e5\u5fd7\u4e2d\u663e\u793a\u3002<\/p>\n
      .<\/span>addSink<\/span>(<\/span>new<\/span> FlinkKafkaProducer010<\/span>[<\/span>String<\/span>](<\/span>\r\n        bootstrapServers<\/span>,<\/span>\r\n        sinkTopic<\/span>,<\/span>\r\n        new<\/span> SimpleStringSchema<\/span>)<\/span>\r\n      ).<\/span>name<\/span>(<\/span>\"kafka\"<\/span>)<\/span>\r\n    env<\/span>.<\/span>execute<\/span>()<\/span>\r\n<\/code><\/pre>\n
\u8fd0\u884csbt<\/h3>\n
\u6211\u5c06\u8f6c\u5230\u9879\u76ee\u5e76\u6267\u884csbt\u7684run\u547d\u4ee4\u3002<\/p>\n
$ cd ~\/scala_apps\/streams-flink-scala-examples\r\n$ sbt\r\n> run\r\n<\/code><\/pre>\n
\u901a\u8fc760\u79d2\u7684\u6eda\u52a8\u7a97\u53e3\u5bf9\u5468\u56f4\u73af\u5883\u6e29\u5ea6\u8fdb\u884c\u4e86\u5e73\u5747\u503c\u7684\u6536\u96c6\uff0c\u5e76\u5c06\u7ed3\u679c\u8f93\u51fa\u5230\u6807\u51c6\u8f93\u51fa\u3002<\/p>\n
{\"time\" : \"2017-08-24T08:10:00+09:00\", \"bid\" : \"B0:B4:48:BE:5E:00\", \"ambient\" : 26.203125}\r\n{\"time\" : \"2017-08-24T08:11:00+09:00\", \"bid\" : \"B0:B4:48:BE:5E:00\", \"ambient\" : 26.234375}\r\n{\"time\" : \"2017-08-24T08:12:00+09:00\", \"bid\" : \"B0:B4:48:BE:5E:00\", \"ambient\" : 26.26875}\r\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
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