刚接触 kafka/flink/scala/sbt 组合并尝试设置以下内容
- 多主题 Kafka 队列
- 使用 scala jar 的 Flink 流处理作业
- 一个 scala jar,它从一个主题、进程读取数据,然后将数据推送到另一个主题
到目前为止
- 能够正确设置Kafka和Flink。
- 能够使用flink二进制文件附带的Kafka.jar示例读取kafka队列。
能够创建一个wordcount jar(感谢ipoteka)
现在尝试创建一个流字数统计 jar,但遇到了 sbt 问题
现在尝试创建一个示例 wordcount.jar,然后再尝试实际的 kafka/spark 流示例。
但遇到 simSBT 问题
知道我在忽略什么吗?
如果我有任何不必要的声明,也请告诉我。
如果有人分享一个简单的程序来读/写 kakfa 队列,我也将不胜感激。
项目设置 -
|- 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")
}
}
创建 jar 时出错(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
最佳答案
您从哪里获得这些版本?我没有看到 kafka 版本 1.0.0
。看maven (按 sbt 选项卡):
libraryDependencies += "org.apache.kafka" % "kafka_2.10" % "0.10.0.0"
我还建议您检查所有其他版本。例如,Spark 当前版本是 1.6.2
。
关于scala - 使用 scala sbt 对 kafka + flink 示例进行故障排除?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/38173645/