使用scala sbt對kafka + flink示例進行故障排除？

Question

kafka / flink / scala / sbt組合的新功能，並嘗試設置以下內容

• 多主題Kafka隊列
• 使用Scala Jar進行Flink流作業
• 一個scala jar，它從一個主題讀取數據，進行處理，然后將數據推送到另一個主題

立即更新

• 能夠正確設置Kafka和Flink。
  
• 可以使用flink二進制文件隨附的Kafka.jar示例讀取kafka隊列。

能夠創建一個單詞計數罐（感謝ipoteka）
現在嘗試創建流字計數jar，但遇到sbt問題
現在，嘗試創建實際的kafka / spark流式傳輸示例之前，先創建一個wordcount.jar示例。
但是遇到simSBT的問題任何想法我都忽略了什么。
還請讓我知道我是否有任何不必要的聲明。
如果有人共享一個簡單的程序來讀取/寫入kakfa隊列，也將不勝感激。

項目設置 -

|- project/plugins.sbt
|- build.sbt
|- src/main/scala/WordCount.scala

build.sbt

name := "Kakfa-Flink Project"

version := "1.0"

libraryDependencies += "org.apache.spark" %% "spark-core" % "1.2.0"

// Updated : Correction pointed by ipoteka 
libraryDependencies += "org.apache.kafka" % "kafka_2.10" % "0.10.0.0"

libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.0.0"

libraryDependencies += "org.apache.flink" %% "flink-clients" % "1.0.0"

libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" % "1.0.0"

// for jar building
mainClass in compile := Some("StreamWordCount")

plugins.sbt

// *** creating fat jar
addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.14.1")

WordCount.scala

package prog

import org.apache.flink.api.scala._
import org.apache.flink.streaming.api.scala.DataStream
import org.apache.flink.streaming.api.windowing.time.Time

object WordCount {

  type WordCount = (String, Int)

  def main(lines: DataStream[String], stopWords: Set[String], window: Time): DataStream[WordCount] = {
    lines
      .flatMap(line => line.split(" "))
      .filter(word => !word.isEmpty)
      .map(word => word.toLowerCase)
      .filter(word => !stopWords.contains(word))
      .map(word => (word, 1))
      .keyBy(0)
      .timeWindow(window)
      .sum(1)
  }

}

StreamWordCount.scala

package prog

import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer082
import org.apache.flink.streaming.util.serialization.SimpleStringSchema

import org.apache.flink.api.scala._
import org.apache.flink.streaming.api.scala.DataStream
import org.apache.flink.streaming.api.windowing.time.Time



object Main {
  def main(args: Array[String]) {

  type WordCount = (String, Int)

    val env = StreamExecutionEnvironment.getExecutionEnvironment
    val properties = new Properties()
    properties.setProperty("bootstrap.servers", "localhost:9092")
    properties.setProperty("zookeeper.connect", "localhost:2181")
    properties.setProperty("group.id", "test")
    val stream = env
      .addSource(new FlinkKafkaConsumer082[String]("topic", new SimpleStringSchema(), properties))
      .flatMap(line => line.split(" "))
      .filter(word => !word.isEmpty)
      .map(word => word.toLowerCase)
      .filter(word => !stopWords.contains(word))
      .map(word => (word, 1))
      .keyBy(0)
      .timeWindow(window)
      .sum(1)
      .print

    env.execute("Flink Kafka Example")
  }
}

創建jar時出錯 （已更新）

[vagrant@streaming ex]$ /opt/sbt/bin/sbt  package
    [error] /home/vagrant/ex/src/main/scala/StreamWordCount.scala:4: object connectors is not a member of package org.apache.flink.streaming
[error] import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer082
[error]                                   ^
[error] /home/vagrant/ex/src/main/scala/StreamWordCount.scala:18: not found: type Properties
[error]     val properties = new Properties()
[error]                          ^
[error] /home/vagrant/ex/src/main/scala/StreamWordCount.scala:23: not found: type FlinkKafkaConsumer082
[error]       .addSource(new FlinkKafkaConsumer082[String]("topic", new SimpleStringSchema(), properties))
[error]                      ^
[error] three errors found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 31 s, completed Jul 3, 2016 9:02:18 PM

Answer 1

您從哪里獲得這些版本的？ 我看不到kafka版本1.0.0 。 查看Maven （按sbt標簽）：

libraryDependencies += "org.apache.kafka" % "kafka_2.10" % "0.10.0.0"

我也建議您檢查所有其他版本。 例如，Spark當前版本為1.6.2 。