Hi XiangWei,
the problem is that the LocalFlinkMiniCluster can no longer be used in
combination with a RemoteExecutionEnvironment. The reason is that the
LocalFlinkMiniCluster uses now an internal leader election service and
assigns leader ids to its components. Since this is an internal service it
is not possible to retrieve this information like it is the case with the
ZooKeeper based leader election services.
Long story short, the Flink Scala shell currently does not work with a
LocalFlinkMiniCluster and would have to be fixed to work properly together
with a local execution environment. Until then, I recommend starting a
local standalone cluster and let the code run there.
Cheers,
Till
On Wed, Sep 13, 2017 at 6:21 AM, XiangWei Huang <xw.huang...@gmail.com>
wrote:
> dear all,
>
> *Below is the code i execute:*
>
> import java.io._
> import java.net.{URL, URLClassLoader}
> import java.nio.charset.Charset
> import java.util.Collections
> import java.util.concurrent.atomic.AtomicBoolean
>
> import com.netease.atom.common.util.logging.Logging
> import com.netease.atom.interpreter.Code.Code
> import com.netease.atom.interpreter.{Code, Interpreter,
> InterpreterResult, InterpreterUtils}
> import io.netty.buffer._
> import org.apache.flink.api.scala.FlinkILoop
> import org.apache.flink.client.CliFrontend
> import org.apache.flink.client.cli.CliFrontendParser
> import org.apache.flink.client.program.ClusterClient
> import org.apache.flink.configuration.{QueryableStateOptions,
> Configuration, ConfigConstants, GlobalConfiguration}
> import org.apache.flink.runtime.akka.AkkaUtils
> import org.apache.flink.runtime.minicluster.{StandaloneMiniCluster,
> LocalFlinkMiniCluster}
>
> import scala.Console
> import scala.beans.BeanProperty
> import scala.collection.JavaConversions._
> import scala.collection.mutable
> import scala.collection.mutable.{ArrayBuffer, ListBuffer}
> import scala.runtime.AbstractFunction0
> import scala.tools.nsc.Settings
> import scala.tools.nsc.interpreter.{IMain, JPrintWriter, Results}
>
> class FlinkInterpreter extends Interpreter {
> private var bufferedReader: Option[BufferedReader] = None
> private var jprintWriter: JPrintWriter = _
> private val config = new Configuration;
> private var cluster: LocalFlinkMiniCluster = _
> @BeanProperty var imain: IMain = _
> @BeanProperty var flinkILoop: FlinkILoop = _
> private var out: ByteBufOutputStream = null
> private var outBuf: ByteBuf = null
> private var in: ByteBufInputStream = _
> private var isRunning: AtomicBoolean = new AtomicBoolean(false)
>
> override def isOpen: Boolean = {
> isRunning.get()
> }
>
> def startLocalMiniCluster(): (String, Int, LocalFlinkMiniCluster) = {
> config.toMap.toMap.foreach(println)
> config.setInteger(ConfigConstants.LOCAL_NUMBER_JOB_MANAGER, 1)
> config.setInteger(ConfigConstants.LOCAL_NUMBER_TASK_MANAGER, 1)
> config.setInteger(ConfigConstants.LOCAL_NUMBER_RESOURCE_MANAGER, 1)
> config.setInteger(ConfigConstants.JOB_MANAGER_IPC_PORT_KEY, 0)
> config.setBoolean(QueryableStateOptions.SERVER_ENABLE.key(), true)
> config.setBoolean(ConfigConstants.LOCAL_START_WEBSERVER, true)
> val localCluster = new LocalFlinkMiniCluster(config, false)
> localCluster.start(true)
> val port = AkkaUtils.getAddress(localCluster.
> jobManagerActorSystems.get.head).port
> println(s"Starting local Flink cluster (host: localhost,port: ${
> localCluster.getLeaderRPCPort}).\n")
> ("localhost", localCluster.getLeaderRPCPort, localCluster)
> }
>
>
> /**
> * Start flink cluster and create interpreter
> */
> override def open: Unit = {
> outBuf = ByteBufAllocator.DEFAULT.heapBuffer(20480)
> out = new ByteBufOutputStream(outBuf)
> in = new ByteBufInputStream(outBuf)
> // val (host, port, yarnCluster) =
> deployNewYarnCluster(YarnConfig(Option(1),
> None, None, None, Option(1), None))
> val (host, port, localCluster) = startLocalMiniCluster()
> this.cluster = localCluster
> val conf = cluster.configuration
> println(s"Connecting to Flink cluster (host:$host,port:$port)...")
> flinkILoop = new FlinkILoop(host, port, conf, None)
> val settings = new Settings()
> settings.usejavacp.value = true
> settings.Yreplsync.value = true
> flinkILoop.settings_$eq(settings)
> flinkILoop.createInterpreter()
> imain = flinkILoop.intp
> FlinkInterpreter.ourClassloader = imain.classLoader
> val benv = flinkILoop.scalaBenv
> val senv = flinkILoop.scalaSenv
> benv.getConfig.disableSysoutLogging()
> senv.getConfig.disableSysoutLogging()
> // import libraries
> imain.interpret("import scala.tools.nsc.io._")
> // imain.interpret("import Properties.userHome")
> imain.interpret("import scala.compat.Platform.EOL")
> imain.interpret("import org.apache.flink.api.scala._")
> imain.interpret("import org.apache.flink.api.common.functions._")
> isRunning.set(true)
> }
>
> override def interpret(line: String): InterpreterResult = {
> if (line == null || line.trim.length == 0) {
> return new InterpreterResult(Code.SUCCESS)
> }
> interpret(line.split("\n"))
> }
>
> /**
> * Interprete code
> * @param lines
> * @return
> */
> def interpret(lines: Array[String]): InterpreterResult = {
> val imain: IMain = getImain
> val linesToRun: Array[String] = new Array[String](lines.length + 1)
> for (i <- 0 until lines.length) {
> linesToRun(i) = lines(i)
> }
> linesToRun(lines.length) = "print(\"\")"
> System.setOut(new PrintStream(out))
> out.buffer().clear()
> var r: Code = null
> var incomplete: String = ""
> var inComment: Boolean = false
> for (l <- 0 until linesToRun.length) {
> val s: String = linesToRun(l)
> var continuation: Boolean = false
> if (l + 1 < linesToRun.length) {
> val nextLine: String = linesToRun(l + 1).trim
> if (nextLine.isEmpty ||
> nextLine.startsWith("//") ||
> nextLine.startsWith("}") ||
> nextLine.startsWith("object")) {
> continuation = true
> } else if (!inComment && nextLine.startsWith("/*")) {
> inComment = true
> continuation = true
> } else if (!inComment && nextLine.lastIndexOf("*/") >= 0) {
> inComment = false
> continuation = true
> } else if (nextLine.length > 1 &&
> nextLine.charAt(0) == '.' &&
> nextLine.charAt(1) != '.' &&
> nextLine.charAt(1) != '/') {
> continuation = true
> } else if (inComment) {
> continuation = true
> }
> if (continuation) {
> incomplete += s + "\n"
> }
> }
> if (!continuation) {
> val currentCommand: String = incomplete
> var res: Results.Result = null
> try {
> res = Console.withOut(System.out)(new
> AbstractFunction0[Results.Result]
> {
> override def apply() = {
> imain.interpret(currentCommand + s)
> }
> }.apply())
> } catch {
> case e: Exception =>
> logError("Interpreter Exception ", e)
> return new InterpreterResult(Code.ERROR, InterpreterUtils.
> getMostRelevantMessage(e))
> }
> r = getResultCode(res)
> if (r == Code.ERROR) {
> return new InterpreterResult(r, out.toString)
> } else if (r eq Code.INCOMPLETE) {
> incomplete += s + "\n"
> } else {
> incomplete = ""
> }
> }
> }
>
> if (r eq Code.INCOMPLETE) {
> return new InterpreterResult(r, "Incomplete expression")
> }
> else {
> return new InterpreterResult(r, out.buffer().toString(Charset.
> forName("utf-8")))
> }
> }
>
> private def getResultCode(r: Results.Result): Code = {
> if (r.isInstanceOf[Results.Success.type]) {
> return Code.SUCCESS
> }
> else if (r.isInstanceOf[Results.Incomplete.type]) {
> return Code.INCOMPLETE
> }
> else {
> return Code.ERROR
> }
> }
>
> }
> }
>
> object FlinkInterpreter extends Logging {
> var ourClassloader: ClassLoader = _
>
> def main(args: Array[String]): Unit = {
> val interpreter: FlinkInterpreter = new FlinkInterpreter
> val code =
> """
> |val dataStream = senv.fromElements(1,2,3,4,5)
> |dataStream.countWindowAll(2).sum(0).print()
> |senv.execute("My streaming program")
> """.stripMargin
> interpreter.open
> val result = interpreter.interpret(code)
> }
> }
>
> *The error messages i got are:*
> …
> …
> ...
> [WARN] [17/09/13 12:04:52] [org.apache.flink.runtime.jobmanager.JobManager]
> Discard message
> LeaderSessionMessage(00000000-0000-0000-0000-000000000000,SubmitJob(JobGraph(jobId:
> 1b923a7a54c06ffa1c91d276a45be826),EXECUTION_RESULT_AND_STATE_CHANGES))
> because the expected leader session ID 678ef53b-ff25-4298-b566-9c2d9e7371c7
> did not equal the received leader session ID 00000000-0000-0000-0000-
> 000000000000.
> [INFO] [17/09/13 12:05:52]
> [org.apache.flink.runtime.client.JobSubmissionClientActor]
> Terminate JobClientActor.
> [INFO] [17/09/13 12:05:52]
> [org.apache.flink.runtime.client.JobSubmissionClientActor]
> Disconnect from JobManager Actor[akka.tcp://flink@localhost:63522/user/
> jobmanager#82627940].
> [INFO] [17/09/13 12:05:52]
> [akka.remote.RemoteActorRefProvider$RemotingTerminator]
> Shutting down remote daemon.
> [INFO] [17/09/13 12:05:52]
> [akka.remote.RemoteActorRefProvider$RemotingTerminator]
> Remote daemon shut down; proceeding with flushing remote transports.
> [INFO] [17/09/13 12:05:52]
> [akka.remote.RemoteActorRefProvider$RemotingTerminator]
> Remoting shut down.
> org.apache.flink.client.program.ProgramInvocationException: The program
> execution failed: Couldn't retrieve the JobExecutionResult from the
> JobManager.
> at org.apache.flink.client.program.ClusterClient.run(
> ClusterClient.java:478)
> at org.apache.flink.client.program.StandaloneClusterClient.submitJob(
> StandaloneClusterClient.java:105)
> at org.apache.flink.client.program.ClusterClient.run(
> ClusterClient.java:442)
> at org.apache.flink.client.program.ClusterClient.run(
> ClusterClient.java:434)
> at org.apache.flink.streaming.api.environment.RemoteStreamEnvironment.
> executeRemotely(RemoteStreamEnvironment.java:212)
> at org.apache.flink.api.java.ScalaShellRemoteStreamEnvironm
> ent.executeRemotely(ScalaShellRemoteStreamEnvironment.java:87)
> at org.apache.flink.streaming.api.environment.RemoteStreamEnvironment.
> execute(RemoteStreamEnvironment.java:176)
> at org.apache.flink.streaming.api.scala.StreamExecutionEnvironment.
> execute(StreamExecutionEnvironment.scala:638)
> ... 34 elided
> Caused by: org.apache.flink.runtime.client.JobExecutionException:
> Couldn't retrieve the JobExecutionResult from the JobManager.
> at org.apache.flink.runtime.client.JobClient.
> awaitJobResult(JobClient.java:309)
> at org.apache.flink.runtime.client.JobClient.submitJobAndWait(JobClient.
> java:396)
> at org.apache.flink.client.program.ClusterClient.run(
> ClusterClient.java:467)
> ... 41 more
> Caused by:
> org.apache.flink.runtime.client.JobClientActorSubmissionTimeoutException:
> Job submission to the JobManager timed out. You may increase
> 'akka.client.timeout' in case the JobManager needs more time to configure
> and confirm the job submission.
> at org.apache.flink.runtime.client.JobSubmissionClientActor.
> handleCustomMessage(JobSubmissionClientActor.java:119)
> at org.apache.flink.runtime.client.JobClientActor.
> handleMessage(JobClientActor.java:251)
> at org.apache.flink.runtime.akka.FlinkUntypedActor.
> handleLeaderSessionID(FlinkUntypedActor.java:89)
> at org.apache.flink.runtime.akka.FlinkUntypedActor.onReceive(
> FlinkUntypedActor.java:68)
> at akka.actor.UntypedActor$$anonfun$receive$1.applyOrElse(
> UntypedActor.scala:167)
> at akka.actor.Actor$class.aroundReceive(Actor.scala:467)
> at akka.actor.UntypedActor.aroundReceive(UntypedActor.scala:97)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
> at akka.dispatch.Mailbox.run(Mailbox.scala:220)
> at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(
> AbstractDispatcher.scala:397)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.
> runTask(ForkJoinPool.java:1339)
> at scala.concurrent.forkjoin.ForkJoinPool.runWorker(
> ForkJoinPool.java:1979)
> at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(
> ForkJoinWorkerThread.java:107)
>
>
>
>
>
