java.lang.ClassCastException: com.datastax.driver.core.DefaultResultSetFuture cannot be cast to shade.com.datastax.spark.connector.google.common.util.concurrent.ListenableFuture

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    Java, Spark and Cassandra java.lang.ClassCastException: com.datastax.driver.core.DefaultResultSetFuture cannot be cast to shade

    Stack Overflow | 7 months ago | Aleksey Kiselev
    java.lang.ClassCastException: com.datastax.driver.core.DefaultResultSetFuture cannot be cast to shade.com.datastax.spark.connector.google.common.util.concurrent.ListenableFuture
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    java.lang.ClassCastException: serverPackage.ServerClass_Stub at clientPackage.myApplet.init(myApplet.java:line#) at sun.applet.AppletPanel.run(AppletPanel.java:273) at java.lang.Thread.
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    Shared hosting Bungeecord problems.

    GitHub | 3 years ago | Arksenu
    java.lang.ClassCastException: bka cannot be cast to fs All my servers are set to onlinemode: false Here is my config.yml groups: arksenu: - admin disabled_commands: - find player_limit: -1 stats: 347d1d62-6fb6-4869-bd43-7d0745de8e3c permissions: default: - bungeecord.command.server - bungeecord.command.list admin: - bungeecord.command.ip - bungeecord.command.alert - bungeecord.command.end - bungeecord.command.reload listeners: - max_players: 18 fallback_server: hub host: 0.0.0.0:35289 bind_local_address: true ping_passthrough: false tab_list: GLOBAL_PING default_server: hub forced_hosts: pvp.md-5.net: hub tab_size: 60 force_default_server: true motd: ’Network’ query_enabled: false query_port: 25565 timeout: 30000 connection_throttle: 4000 servers: hub: address: 108.170.8.146:35289 restricted: false motd: test UvGames: address: 66.85.165.170:26200 restricted: false motd: test UvPrison: address: 66.85.128.90:25928 restricted: false motd: test ip_forward: false online_mode: true And here is my console message -> UpstreamBridge has disconnected disconnected with: Exception Connecting:RuntimeException : Server is online mode! @ net.md_5.bungee.ServerConnector:188
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    Shared hosting Bungeecord problems.

    GitHub | 3 years ago | Arksenu
    java.lang.ClassCastException: bka cannot be cast to fs All my servers are set to onlinemode: false Here is my config.yml groups: arksenu: - admin disabled_commands: - find player_limit: -1 stats: 347d1d62-6fb6-4869-bd43-7d0745de8e3c permissions: default: - bungeecord.command.server - bungeecord.command.list admin: - bungeecord.command.ip - bungeecord.command.alert - bungeecord.command.end - bungeecord.command.reload listeners: - max_players: 18 fallback_server: hub host: 0.0.0.0:35289 bind_local_address: true ping_passthrough: false tab_list: GLOBAL_PING default_server: hub forced_hosts: pvp.md-5.net: hub tab_size: 60 force_default_server: true motd: ’Network’ query_enabled: false query_port: 25565 timeout: 30000 connection_throttle: 4000 servers: hub: address: 108.170.8.146:35289 restricted: false motd: test UvGames: address: 66.85.165.170:26200 restricted: false motd: test UvPrison: address: 66.85.128.90:25928 restricted: false motd: test ip_forward: false online_mode: true And here is my console message -> UpstreamBridge has disconnected disconnected with: Exception Connecting:RuntimeException : Server is online mode! @ net.md_5.bungee.ServerConnector:188
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    SWTBot/Troubleshooting - Eclipsepedia

    eclipse.org | 2 years ago
    java.lang.ClassCastException: org.apache.tools.ant.taskdefs.optional.junit.XMLJUnitResultFormatter at org.eclipse.swtbot.eclipse.junit4.headless.EclipseTestRunner .run(EclipseTestRunner.java:331) at org.eclipse.swtbot.eclipse.junit4.headless.EclipseTestRunner .run(EclipseTestRunner.java:208) at org.eclipse.swtbot.eclipse.junit4.headless.UITestApplication .runTests(UITestApplication.java:115) at org.eclipse.ui.internal.testing.WorkbenchTestable$1.run(Work benchTestable.java:68)

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    Root Cause Analysis

    1. java.lang.ClassCastException

      com.datastax.driver.core.DefaultResultSetFuture cannot be cast to shade.com.datastax.spark.connector.google.common.util.concurrent.ListenableFuture

      at com.datastax.spark.connector.writer.AsyncExecutor.executeAsync()
    2. spark-cassandra-connector
      TableWriter$$anonfun$write$1$$anonfun$apply$2.apply
      1. com.datastax.spark.connector.writer.AsyncExecutor.executeAsync(AsyncExecutor.scala:31)
      2. com.datastax.spark.connector.writer.TableWriter$$anonfun$write$1$$anonfun$apply$2.apply(TableWriter.scala:159)
      3. com.datastax.spark.connector.writer.TableWriter$$anonfun$write$1$$anonfun$apply$2.apply(TableWriter.scala:158)
      3 frames
    3. Scala
      Iterator$class.foreach
      1. scala.collection.Iterator$class.foreach(Iterator.scala:893)
      1 frame
    4. spark-cassandra-connector
      RDDFunctions$$anonfun$saveToCassandra$1.apply
      1. com.datastax.spark.connector.writer.GroupingBatchBuilder.foreach(GroupingBatchBuilder.scala:31)
      2. com.datastax.spark.connector.writer.TableWriter$$anonfun$write$1.apply(TableWriter.scala:158)
      3. com.datastax.spark.connector.writer.TableWriter$$anonfun$write$1.apply(TableWriter.scala:135)
      4. com.datastax.spark.connector.cql.CassandraConnector$$anonfun$withSessionDo$1.apply(CassandraConnector.scala:111)
      5. com.datastax.spark.connector.cql.CassandraConnector$$anonfun$withSessionDo$1.apply(CassandraConnector.scala:110)
      6. com.datastax.spark.connector.cql.CassandraConnector.closeResourceAfterUse(CassandraConnector.scala:140)
      7. com.datastax.spark.connector.cql.CassandraConnector.withSessionDo(CassandraConnector.scala:110)
      8. com.datastax.spark.connector.writer.TableWriter.write(TableWriter.scala:135)
      9. com.datastax.spark.connector.RDDFunctions$$anonfun$saveToCassandra$1.apply(RDDFunctions.scala:37)
      10. com.datastax.spark.connector.RDDFunctions$$anonfun$saveToCassandra$1.apply(RDDFunctions.scala:37)
      10 frames
    5. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
      2. org.apache.spark.scheduler.Task.run(Task.scala:85)
      3. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      3 frames
    6. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
      3. java.lang.Thread.run(Unknown Source)
      3 frames