Previous exception in task: org.apache.thrift.transport.TSocket.<init>(Lorg/apache/thrift/TConfiguration;Ljava/lang/String;II)V

spark2.4 访问 IoTDB-1.31.1 发生异常，thrift-0.14.2，详细错误入下，
org.apache.spark.util.TaskCompletionListenerException: null
Previous exception in task: org.apache.thrift.transport.TSocket.(Lorg/apache/thrift/TConfiguration;Ljava/lang/String;II)V
org.apache.iotdb.rpc.RpcTransportFactory.getTransport(RpcTransportFactory.java:82)
org.apache.iotdb.jdbc.IoTDBConnection.openTransport(IoTDBConnection.java:481)
org.apache.iotdb.jdbc.IoTDBConnection.(IoTDBConnection.java:113)
org.apache.iotdb.jdbc.IoTDBDriver.connect(IoTDBDriver.java:64)
java.sql.DriverManager.getConnection(DriverManager.java:664)
java.sql.DriverManager.getConnection(DriverManager.java:247)
org.apache.iotdb.spark.db.IoTDBRDD$$anon$1.(IoTDBRDD.scala:74)
org.apache.iotdb.spark.db.IoTDBRDD.compute(IoTDBRDD.scala:54)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
org.apache.spark.scheduler.Task.run(Task.scala:121)
org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:407)
org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1408)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:413)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
java.lang.Thread.run(Thread.java:748)
at org.apache.spark.TaskContextImpl.invokeListeners(TaskContextImpl.scala:138)
at org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:116)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:407)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1408)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:413)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

Inizia da org.apache.iotdb.rpc.RpcTransportFactory.getTransport in RpcTransportFactory.java:82 e segui il percorso di connessione attraverso IoTDBConnection.java:481 e IoTDBRDD.scala:74. Confronta le dipendenze previste di Spark 2.4, IoTDB 1.31.1 e thrift-0.14.2, quindi riproduci il job failure segnalato; il lavoro è completato quando l’accesso da Spark non genera più l’errore del costruttore TSocket.

Scritto dal modello di indicizzazione a partire dal testo della issue.