Question

我一直在尝试将cassandra与Spark连接在一起，但我一直面临着一些问题。以下是使用的版本：

    Spark 1.5.0
    Cassandra 2.1.9
    Scala 2.11.1

以下是我遵循的步骤： - 使用默认配置下载了Cassandra，我通过bin / cassandra -f启动它。 Cassandra开始很好，并在127.0.0.1上收听 - 我在spark键空间的try表中添加了一些模拟数据。 - 下载Spark并通过sbin / start-master.sh启动master。我可以在localhost：8888上看到主人运行良好 - 我写了以下build.sbt：

val sparkVersion = "1.5.0"

libraryDependencies ++= Seq(
  jdbc,
  anorm,
  cache,
  ws,
  "org.scalatest" % "scalatest_2.11" % "3.0.0-M8",
  "com.typesafe" % "scalalogging-slf4j_2.10" % "1.1.0",
  "com.typesafe.scala-logging" %% "scala-logging" % "3.1.0",
  "org.apache.spark" % "spark-core_2.11" % sparkVersion,
  "org.apache.spark" % "spark-streaming_2.11" % sparkVersion,
  "org.apache.spark" % "spark-streaming-twitter_2.11" % sparkVersion,
  "org.apache.spark" %% "spark-streaming-kafka" % sparkVersion,
  "org.apache.spark" % "spark-sql_2.11" % sparkVersion,
  "com.datastax.cassandra" % "cassandra-driver-core" % "3.0.0-alpha2",
  "com.datastax.spark" %% "spark-cassandra-connector" % "1.5.0-M1",
  "org.scalatest" %% "scalatest" % "2.2.1" % "test",
  "org.mockito" % "mockito-all" % "1.9.5" % "test"
)

我写了以下主页：

val conf = new SparkConf(true)
.setAppName("Test")
.setMaster("spark://127.0.0.1:7077")
.set("spark.cassandra.connection.host","127.0.0.1")
.set("spark.cassandra.connection.port", "9042")
.set("spark.driver.allowMultipleContexts", "true")

/** Connect to the Spark cluster: */
lazy val sc = new SparkContext(conf)

val rdd = sc.cassandraTable("spark", "try")
val file_collect=rdd.collect()
file_collect.map(println(_))

sc.stop()

然后我运行程序。

这是我用“spark.cassandra.connector.host”=“spark：//127.0.0.1：7077”获得的堆栈跟踪。

[error] o.a.s.u.SparkUncaughtExceptionHandler - Uncaught exception in thread Thread[appclient-registration-retry-thread,5,main]
java.util.concurrent.RejectedExecutionException: Task java.util.concurrent.FutureTask@b6391a7 rejected from java.util.concurrent.ThreadPoolExecutor@7f56044a[Running, pool size = 1, active threads = 0, queued tasks = 0, completed tasks = 3]
    at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2047) ~[na:1.8.0_60]
    at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:823) [na:1.8.0_60]
    at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1369) [na:1.8.0_60]
    at java.util.concurrent.AbstractExecutorService.submit(AbstractExecutorService.java:112) ~[na:1.8.0_60]
    at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anonfun$tryRegisterAllMasters$1.apply(AppClient.scala:96) ~[spark-core_2.11-1.5.0.jar:1.5.0]

如果我将此参数更改为local [*]，那么我将获得此堆栈跟踪：

play.api.Application$$anon$1: Execution exception[[RuntimeException: java.lang.AbstractMethodError: com.datastax.spark.connector.cql.LocalNodeFirstLoadBalancingPolicy.close()V]]
    at play.api.Application$class.handleError(Application.scala:296) ~[play_2.11-2.3.8.jar:2.3.8]
    at play.api.DefaultApplication.handleError(Application.scala:402) [play_2.11-2.3.8.jar:2.3.8]
    at play.core.server.netty.PlayDefaultUpstreamHandler$$anonfun$3$$anonfun$applyOrElse$4.apply(PlayDefaultUpstreamHandler.scala:320) [play_2.11-2.3.8.jar:2.3.8]
    at play.core.server.netty.PlayDefaultUpstreamHandler$$anonfun$3$$anonfun$applyOrElse$4.apply(PlayDefaultUpstreamHandler.scala:320) [play_2.11-2.3.8.jar:2.3.8]
    at scala.Option.map(Option.scala:146) [scala-library-2.11.7.jar:na]
Caused by: java.lang.RuntimeException: java.lang.AbstractMethodError: com.datastax.spark.connector.cql.LocalNodeFirstLoadBalancingPolicy.close()V
    at play.api.mvc.ActionBuilder$$anon$1.apply(Action.scala:523) ~[play_2.11-2.3.8.jar:2.3.8]
    at play.api.mvc.Action$$anonfun$apply$1$$anonfun$apply$4$$anonfun$apply$5.apply(Action.scala:130) ~[play_2.11-2.3.8.jar:2.3.8]
    at play.api.mvc.Action$$anonfun$apply$1$$anonfun$apply$4$$anonfun$apply$5.apply(Action.scala:130) ~[play_2.11-2.3.8.jar:2.3.8]
    at play.utils.Threads$.withContextClassLoader(Threads.scala:21) ~[play_2.11-2.3.8.jar:2.3.8]
    at play.api.mvc.Action$$anonfun$apply$1$$anonfun$apply$4.apply(Action.scala:129) ~[play_2.11-2.3.8.jar:2.3.8]
Caused by: java.lang.AbstractMethodError: com.datastax.spark.connector.cql.LocalNodeFirstLoadBalancingPolicy.close()V
    at com.datastax.driver.core.Cluster$Manager.close(Cluster.java:1423) ~[cassandra-driver-core-3.0.0-alpha2.jar:na]
    at com.datastax.driver.core.Cluster$Manager.access$200(Cluster.java:1171) ~[cassandra-driver-core-3.0.0-alpha2.jar:na]
    at com.datastax.driver.core.Cluster.closeAsync(Cluster.java:462) ~[cassandra-driver-core-3.0.0-alpha2.jar:na]
    at com.datastax.driver.core.Cluster.close(Cluster.java:473) ~[cassandra-driver-core-3.0.0-alpha2.jar:na]
    at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$$createSession(CassandraConnector.scala:163) ~[spark-cassandra-connector_2.11-1.5.0-M1.jar:1.5.0-M1]

知道问题的来源吗？

Answer 1

export SPARK_MASTER_IP=master

所以我遇到了同样的问题。我将“master”改为我的ip。所以我解决了这个问题。

Answer 2

Spark Cassandra连接器支持java-driver 2.1版。驱动程序v.2.2支持：https://datastax-oss.atlassian.net/browse/SPARKC-229 它将包含在spark-cassandra-connector 1.5.0-M2中，或者您可以自己构建它。我想，它也适用于3.0 java驱动程序。另一方面，建议使用与C *相同的java驱动程序，SO使用java驱动程序2.1 for Cassandra 2.1

Spark + Cassandra连接器因LocalNodeFirstLoadBalancingPolicy.close（）而失败

2 个答案: