parquet.io.ParquetDecodingException: Can not read value at 0 in block 0 in file file:/home/file/ALL.adam/part-r-00232.gz.parquet

GitHub | car2008 | 8 months ago
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  1. 0

    GitHub comment 1121#241643536

    GitHub | 8 months ago | car2008
    parquet.io.ParquetDecodingException: Can not read value at 0 in block 0 in file file:/home/file/ALL.adam/part-r-00027.gz.parquet
  2. 0

    GitHub comment 1121#242003738

    GitHub | 8 months ago | car2008
    parquet.io.ParquetDecodingException: Can not read value at 0 in block 0 in file hdfs://192.168.2.85:9000/user/ALL.adam/part-r-00001.gz.parquet
  3. 0

    Help:basic RMI question

    Google Groups | 2 decades ago | Paolo De Lutiis
    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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  5. 0

    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
  6. 0

    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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    Root Cause Analysis

    1. java.lang.ClassCastException

      org.apache.avro.generic.GenericData$Record cannot be cast to org.bdgenomics.formats.avro.Variant

      at org.bdgenomics.formats.avro.Genotype.put()
    2. org.bdgenomics.formats
      Genotype.put
      1. org.bdgenomics.formats.avro.Genotype.put(Genotype.java:148)
      1 frame
    3. parquet.avro
      AvroIndexedRecordConverter.end
      1. parquet.avro.AvroIndexedRecordConverter.set(AvroIndexedRecordConverter.java:143)
      2. parquet.avro.AvroIndexedRecordConverter.access$000(AvroIndexedRecordConverter.java:39)
      3. parquet.avro.AvroIndexedRecordConverter$1.add(AvroIndexedRecordConverter.java:78)
      4. parquet.avro.AvroIndexedRecordConverter.end(AvroIndexedRecordConverter.java:163)
      4 frames
    4. Parquet
      ParquetRecordReader.nextKeyValue
      1. parquet.io.RecordReaderImplementation.read(RecordReaderImplementation.java:413)
      2. parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:209)
      3. parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:201)
      3 frames
    5. Spark
      InterruptibleIterator.hasNext
      1. org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:168)
      2. org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
      2 frames
    6. Scala
      Iterator$$anon$11.hasNext
      1. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
      2. scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388)
      3. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
      4. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
      4 frames
    7. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:197)
      2. org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:64)
      3. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
      4. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
      5. org.apache.spark.scheduler.Task.run(Task.scala:89)
      6. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      6 frames
    8. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames