Question

我正在尝试将简单数据写入ElasticSearch示例。但是，我一直收到这个错误：

EsHadoopIllegalArgumentException: Cannot detect ES version - typically this happens if the network/Elasticsearch cluster is not accessible or when targeting a WAN/Cloud instance without the proper setting 'es.nodes.wan.only

我对Spark和ElasticSearch的依赖：

scalaVersion := "2.11.5"

val sparkVersion = "2.3.0"

resolvers += "Spark Packages Repo" at "http://dl.bintray.com/spark-packages/maven"

libraryDependencies ++= Seq(
  "org.apache.spark" %% "spark-core" % sparkVersion,
  "org.apache.spark" %% "spark-sql" % sparkVersion,
  "org.apache.spark" %% "spark-streaming" % sparkVersion,
  "com.typesafe" % "config" % "1.3.0",
  "org.elasticsearch" %% "elasticsearch-spark-20" % "6.2.4"
)

以下是我的代码示例：

object App {

  def main(args: Array[String]) {
    val sparkConf = new SparkConf()
      .setMaster(args(0))
      .setAppName("KafkaSparkStreaming")
    sparkConf.set("es.index.auto.create", "true")

    val sparkSession = SparkSession
      .builder()
      .config(sparkConf)
      .getOrCreate()

    val streamingContext = new StreamingContext(sparkSession.sparkContext, Seconds(3))
    val sparkContext = streamingContext.sparkContext
    sparkContext.setLogLevel("ERROR")

    val sqlContext = new SQLContext(sparkContext)

    val numbers = Map("one" -> 1, "two" -> 2, "three" -> 3)
    val airports = Map("arrival" -> "Otopeni", "SFO" -> "San Fran")

    sparkContext.makeRDD(Seq(numbers, airports)).saveToEs("spark/docs")

    streamingContext.start()
    streamingContext.awaitTermination()
  }
}

我使用docker image运行ElasticSearch。这是我的docker-compose.yml文件：

version: '3.3'
services:
  kafka:
      image: spotify/kafka
      ports:
        - "9092:9092"
      environment:
      - ADVERTISED_HOST=localhost
  elasticsearch:
      image: elasticsearch
  kibana:
      image: kibana
      ports:
        - "5601:5601"

什么可能导致此异常？我真的很感激一些帮助。

Answer 1

我在尝试用Elasticsearch尝试火花时遇到了类似的情况，用“ elasticsearch-hadoop”代替了“ elasticsearch-spark”依赖项以满足我的elasticsearch ver。解决了问题

val conf = new SparkConf().setAppName("Sample").setMaster("local[*]")
conf.set("es.index.auto.create", "true")

val sc = new SparkContext(conf)
val ssc = new StreamingContext(sc, Seconds(10))

val numbers = Map("one" -> 1, "two" -> 2, "three" -> 3)
val airports = Map("arrival" -> "Otopeni", "SFO" -> "San Fran")

val rdd = sc.makeRDD(Seq(numbers, airports))
val microbatches = mutable.Queue(rdd)

ssc.queueStream(microbatches).saveToEs("spark/docs")

ssc.start()
ssc.awaitTermination()

依赖项列表

"org.apache.spark" %% "spark-core" % "2.2.0",
"org.apache.spark" %% "spark-sql" % "2.2.0",
"org.apache.spark" %% "spark-streaming" % "2.2.0",
"org.apache.spark" %% "spark-streaming-kafka-0-10" % "2.3.1",
"org.elasticsearch" %% "elasticsearch-hadoop" % "6.3.0",

Answer 2

您可以通过添加ES主机名来编辑spark配置：

 sparkConf.set("es.index.auto.create", "true") 
 sparkConf.set("es.nodes", "your_elasticsearch_ip")
 sparkConf.set("es.port", "9200")
 sparkConf.set("es.nodes.wan.only", "true")

您还可以尝试在Docker组成文件中转发ES端口：

 elasticsearch:
   image: elasticsearch
   ports:
     - "9200:9200"

如果它不起作用，则可能是Spark连接器有问题，因此您可以将对ES的呼叫重定向到本地：

在您的docker-compose中添加以下命令：

 elasticsearch:
   image: elasticsearch
   command: "apt install -y socat && socat tcp-listen:9200,fork tcp:your_elasticsearch_ip:9200 &"

或

 command: "apt install -y socat && socat tcp-listen:9200,fork tcp:localhost:9200 &"

socat将将您的本地9200端口转发到您的远程Elasticsearch 9200端口。

EsHadoopIllegalArgumentException：无法检测ES版本的Spark-ElasticSearch示例

2 个答案: