flink 1.3.1 弹性搜索 5.5.1。 ElasticsearchSinkFunction 因 java.lang.NoSuchMethodError 而失败

Question

我正在使用Scala / sbt 浏览以下示例：

flink / elasticsearch / kibana
flink tutorial

我的built.sbt 包括以下版本：

libraryDependencies ++= Seq(
  "org.apache.flink" %% "flink-scala" % "1.3.1" % "provided",
  "org.apache.flink" %% "flink-streaming-scala" % "1.3.1" % "provided",
  "org.apache.flink" %% "flink-clients" % "1.3.1" % "provided",
  "joda-time" % "joda-time" % "2.9.9",
  "com.google.guava" % "guava" % "22.0",
  "com.typesafe" % "config" % "1.3.0",
  "org.apache.flink" % "flink-connector-kafka-0.10_2.10" % "1.2.0",
  "org.elasticsearch" % "elasticsearch" % "5.5.1",
  "org.elasticsearch.client" % "transport" % "5.5.1",
  "org.apache.flink" % "flink-connector-elasticsearch5_2.10" % "1.3.1"
)

程序失败并出现以下异常（减法）：

    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.lang.NoSuchMethodError: org.elasticsearch.action.bulk.BulkProcessor.add(Lorg/elasticsearch/action/ActionRequest;)Lorg/elasticsearch/action/bulk/BulkProcessor;
    at org.apache.flink.streaming.connectors.elasticsearch.BulkProcessorIndexer.add(BulkProcessorIndexer.java:52)
    at org.aj.flink.stream.TaxiDashboard$MyElasticsearchInserter.process(TaxiDashboard.scala:157)
    at org.aj.flink.stream.TaxiDashboard$MyElasticsearchInserter.process(TaxiDashboard.scala:137)
    at org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchSinkBase.invoke(ElasticsearchSinkBase.java:282)
    at org.apache.flink.streaming.api.operators.StreamSink.processElement(StreamSink.java:41)
    at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:528)
    at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:503)
    at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:483)
    at org.apache.flink.streaming.runtime.tasks.OperatorChain$BroadcastingOutputCollector.collect(OperatorChain.java:575)

这是我的相关导入：

import org.apache.flink.streaming.connectors.elasticsearch5.ElasticsearchSink
import org.apache.flink.streaming.connectors.elasticsearch.{ElasticsearchSinkFunction, RequestIndexer}
import org.elasticsearch.action.index.IndexRequest
import org.elasticsearch.client.Requests

这是MyElasticsearchInserter的代码：

  final class MyElasticsearchInserter(index: String, mappingType: String)
    extends ElasticsearchSinkFunction[(Int, Long, (Float, Float), Short)] {

    def process(element: (Int, Long, (Float, Float), Short),
                ctx: RuntimeContext,
                indexer: RequestIndexer): Unit = {

      // construct JSON document to index
      val json = Map(
        "time" -> element._2.toString,
        "location" -> (element._3._1 + "," + element._3._2),
        "cnt" -> element._4.toString
      )

      val rqst: IndexRequest = Requests.indexRequest
        .index(index)
        .`type`(mappingType)
        .source(json.asJava)
      indexer.add(rqst)
    }
  }

这是添加 Sink 的代码：

if (writeToElasticsearch) {
  // write to Elasticsearch
  nycRides.addSink(new ElasticsearchSink(esConfig,
    esTransport, new MyElasticsearchInserter("nyc-idx", "popular-locations")))

}

看起来问题是flink 1.3.1 是否可以与elasticsearch 5.5.1 一起使用？找不到以下方法？

Caused by: java.lang.NoSuchMethodError: org.elasticsearch.action.bulk.BulkProcessor.add(Lorg/elasticsearch/action/ActionRequest;)Lorg/elasticsearch/action/bulk/BulkProcessor;
        at org.apache.flink.streaming.connectors.elasticsearch.BulkProcessorIndexer.add(BulkProcessorIndexer.java:52)
        at org.aj.flink.stream.TaxiDashboard$MyElasticsearchInserter.process(TaxiDashboard.scala:157)

非常感谢

Answer 1

在快速浏览 ES 代码库后，我认为他们删除了 5.2.0 中的该方法（BulkProcessor#add(ActionRequest)）。

Flink 在内部使用该方法。不幸的是，我担心 Flink 连接器现在无法与 ES 5.3+ 连接器一起使用。