sparkyr spark\u read\u postgresql的jdbc在第二次执行时失败

oxalkeyp  于 2021-07-12  发布在  Spark
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当我试图使用sparklyr通过rstudio从postgres数据库读取数据时，我遇到了一个非常奇怪的问题。
获取spark会话的配置是：

conf=spark_config()

# change spark and kubernetes configuration

conf$spark.kubernetes.namespace <-"tingelbuxe"
conf$spark.kubernetes.authenticate.driver.serviceAccountName <- "tingelbuxe"
conf$spark.kubernetes.container.image <-"tingelbuxe/spark-r:rstudio"

# configure spark

conf$spark.jars <- "/home/tingelbuxe/spark/spark-3.1.1-bin-hadoop3.2/jars/postgresql-42.2.19.jar"
conf$`sparklyr.shell.driver-class-path` <- "/home/tingelbuxe/spark/spark-3.1.1-bin-hadoop3.2/jars/postgresql-42.2.19.jar"

# size spark executors

conf$spark.executor.instances <-"5"
conf$spark.executor.memory <- "10G"
conf$spark.driver.memory <- "10G"
conf$spark.executor.cores <-"10"

# enable more loging for debugging

# conf$sparklyr.log.console <- TRUE

# conf$sparklyr.verbose <- TRUE

# options(sparklyr.log.console = TRUE)

# connect to cluster and create spark session

sc <- spark_connect(
  master="k8s://https://tingelbuxe",
  app_name ="rstudio_db_test", 
  config = conf
)

创建新会话时，我可以只运行一次以下查询


# connect to postges database

db_conn1 <- spark_read_jdbc(sc, "test", 
                            options = list(
                              url = "jdbc:postgresql://tingelbuxe",
                              driver = "org.postgresql.Driver",
                              user = "tingel",
                              password = "***",
                              query="select name, address FROM tingelbuxe.client_data limit 5",
                            ),
                            memory = FALSE
)

# show result

db_conn1

但是，当我再次运行同一个db\u conn1时，因为我更改了sql，所以它失败了，出现以下错误。我还尝试了以下语法。第一次工作，之后失败，直到创建新的spark会话。

query="(select name, address FROM tingelbuxe.client_data limit 5)"
dbtable="tingelbuxe.client_data"

但所有操作都失败，并出现以下错误/警告，说明任务丢失

21/03/08 14:26:59 INFO HiveMetaStore: 0: get_database: default
21/03/08 14:26:59 INFO audit: ugi=tingel    ip=unknown-ip-addr  cmd=get_database: default   
21/03/08 14:26:59 INFO HiveMetaStore: 0: get_database: default
21/03/08 14:26:59 INFO audit: ugi=tingel ip=unknown-ip-addr cmd=get_database: default   
21/03/08 14:26:59 INFO HiveMetaStore: 0: get_tables: db=default pat=*
21/03/08 14:26:59 INFO audit: ugi=tingel ip=unknown-ip-addr cmd=get_tables: db=default pat=*    
21/03/08 14:26:59 INFO SparkContext: Starting job: collect at utils.scala:43
21/03/08 14:26:59 INFO DAGScheduler: Got job 30 (collect at utils.scala:43) with 1 output partitions
21/03/08 14:26:59 INFO DAGScheduler: Final stage: ResultStage 41 (collect at utils.scala:43)
21/03/08 14:26:59 INFO DAGScheduler: Parents of final stage: List()
21/03/08 14:26:59 INFO DAGScheduler: Missing parents: List()
21/03/08 14:26:59 INFO DAGScheduler: Submitting ResultStage 41 (MapPartitionsRDD[200] at map at utils.scala:43), which has no missing parents
21/03/08 14:26:59 INFO MemoryStore: Block broadcast_39 stored as values in memory (estimated size 9.0 KiB, free 434.3 MiB)
21/03/08 14:26:59 INFO BlockManagerInfo: Removed broadcast_37_piece0 on xxx-xxx-xxx:39335 in memory (size: 8.6 KiB, free: 434.4 MiB)
21/03/08 14:26:59 INFO MemoryStore: Block broadcast_39_piece0 stored as bytes in memory (estimated size 4.8 KiB, free 434.4 MiB)
21/03/08 14:26:59 INFO BlockManagerInfo: Added broadcast_39_piece0 in memory on xxx.xxx.xxx:39335 (size: 4.8 KiB, free: 434.4 MiB)
21/03/08 14:26:59 INFO SparkContext: Created broadcast 39 from broadcast at DAGScheduler.scala:1223
21/03/08 14:26:59 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 41 (MapPartitionsRDD[200] at map at utils.scala:43) (first 15 tasks are for partitions Vector(0))
21/03/08 14:26:59 INFO TaskSchedulerImpl: Adding task set 41.0 with 1 tasks
21/03/08 14:26:59 INFO TaskSetManager: Starting task 0.0 in stage 41.0 (TID 72, 10.42.8.151, executor 4, partition 0, PROCESS_LOCAL, 7545 bytes)
21/03/08 14:26:59 INFO BlockManagerInfo: Removed broadcast_37_piece0 on 10.42.3.21:43121 in memory (size: 8.6 KiB, free: 5.6 GiB)
21/03/08 14:26:59 INFO BlockManagerInfo: Removed broadcast_38_piece0 on xxx-xxx-xxx*emphasized text*:39335 in memory (size: 5.3 KiB, free: 434.4 MiB)
21/03/08 14:26:59 INFO BlockManagerInfo: Removed broadcast_38_piece0 on 10.42.3.21:43121 in memory (size: 5.3 KiB, free: 5.6 GiB)
21/03/08 14:26:59 INFO BlockManagerInfo: Added broadcast_39_piece0 in memory on 10.42.8.151:35281 (size: 4.8 KiB, free: 5.6 GiB)
21/03/08 14:26:59 WARN TaskSetManager: Lost task 0.0 in stage 41.0 (TID 72, 10.42.8.151, executor 4): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD
    at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2301)
    at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1431)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2411)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2405)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:503)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:461)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:83)
    at org.apache.spark.scheduler.Task.run(Task.scala:127)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

21/03/08 14:26:59 INFO TaskSetManager: Starting task 0.1 in stage 41.0 (TID 73, 10.42.8.150, executor 1, partition 0, PROCESS_LOCAL, 7545 bytes)
21/03/08 14:26:59 INFO BlockManagerInfo: Added broadcast_39_piece0 in memory on 10.42.8.150:46087 (size: 4.8 KiB, free: 5.6 GiB)
21/03/08 14:26:59 INFO TaskSetManager: Lost task 0.1 in stage 41.0 (TID 73) on 10.42.8.150, executor 1: java.lang.ClassCastException (cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 1]
21/03/08 14:26:59 INFO TaskSetManager: Starting task 0.2 in stage 41.0 (TID 74, 10.42.3.21, executor 5, partition 0, PROCESS_LOCAL, 7545 bytes)
21/03/08 14:26:59 INFO BlockManagerInfo: Added broadcast_39_piece0 in memory on 10.42.3.21:43121 (size: 4.8 KiB, free: 5.6 GiB)
21/03/08 14:26:59 INFO TaskSetManager: Lost task 0.2 in stage 41.0 (TID 74) on 10.42.3.21, executor 5: java.lang.ClassCastException (cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 2]
21/03/08 14:26:59 INFO TaskSetManager: Starting task 0.3 in stage 41.0 (TID 75, 10.42.3.21, executor 5, partition 0, PROCESS_LOCAL, 7545 bytes)
21/03/08 14:26:59 INFO TaskSetManager: Lost task 0.3 in stage 41.0 (TID 75) on 10.42.3.21, executor 5: java.lang.ClassCastException (cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 3]
21/03/08 14:26:59 ERROR TaskSetManager: Task 0 in stage 41.0 failed 4 times; aborting job
21/03/08 14:26:59 INFO TaskSchedulerImpl: Removed TaskSet 41.0, whose tasks have all completed, from pool 
21/03/08 14:26:59 INFO TaskSchedulerImpl: Cancelling stage 41
21/03/08 14:26:59 INFO TaskSchedulerImpl: Killing all running tasks in stage 41: Stage cancelled
21/03/08 14:26:59 INFO DAGScheduler: ResultStage 41 (collect at utils.scala:43) failed in 0,112 s due to Job aborted due to stage failure: Task 0 in stage 41.0 failed 4 times, most recent failure: Lost task 0.3 in stage 41.0 (TID 75, 10.42.3.21, executor 5): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD
    at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2301)
    at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1431)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2411)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2405)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:503)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:461)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:83)
    at org.apache.spark.scheduler.Task.run(Task.scala:127)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
21/03/08 14:26:59 INFO DAGScheduler: Job 30 failed: collect at utils.scala:43, took 0,115250 s
21/03/08 14:26:59 ERROR sparklyr: Backend (1614) failed calling collectColumn on sparklyr.Utils: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 41.0 failed 4 times, most recent failure: Lost task 0.3 in stage 41.0 (TID 75, 10.42.3.21, executor 5): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD
    at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2301)
    at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1431)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2411)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2405)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:503)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:461)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:83)
    at org.apache.spark.scheduler.Task.run(Task.scala:127)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2059)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2008)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2007)
    at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
    at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2007)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:973)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:973)
    at scala.Option.foreach(Option.scala:407)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:973)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2239)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2188)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2177)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:775)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2120)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2139)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2164)
    at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1004)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:1003)
    at sparklyr.Utils$.collectColumnString(utils.scala:43)
    at sparklyr.Utils$.collectColumn(utils.scala:60)
    at sparklyr.Utils.collectColumn(utils.scala)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:64)
    at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.base/java.lang.reflect.Method.invoke(Method.java:564)
    at sparklyr.Invoke.invoke(invoke.scala:147)
    at sparklyr.StreamHandler.handleMethodCall(stream.scala:136)
    at sparklyr.StreamHandler.read(stream.scala:61)
    at sparklyr.BackendHandler.$anonfun$channelRead0$1(handler.scala:58)
    at scala.util.control.Breaks.breakable(Breaks.scala:42)
    at sparklyr.BackendHandler.channelRead0(handler.scala:39)
    at sparklyr.BackendHandler.channelRead0(handler.scala:14)
    at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:99)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
    at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:102)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
    at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:321)
    at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:295)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
    at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1410)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
    at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:919)
    at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:163)
    at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:714)
    at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650)
    at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576)
    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493)
    at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
    at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
    at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
    at java.base/java.lang.Thread.run(Thread.java:832)
Caused by: java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD
    at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2301)
    at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1431)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2411)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2405)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:503)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:461)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:83)
    at org.apache.spark.scheduler.Task.run(Task.scala:127)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 41.0 failed 4 times, most recent failure: Lost task 0.3 in stage 41.0 (TID 75, 10.42.3.21, executor 5): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD
    at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2301)
    at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1431)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2411)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2405)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2329)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2187)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1667)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:503)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:461)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:83)
    at org.apache.spark.scheduler.Task.run(Task.scala:127)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2059)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2008)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2007)
    at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
    at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2007)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:973)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:973)
    at scala.Option.foreach(Option.scala:407)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:973)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2239)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2188)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2177)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:775)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2120)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2139)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2164)
    at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1004)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:1003)
    at sparklyr.Utils$.collectColumnString(utils.scala:43)
    at sparklyr.Utils$.collectColumn(utils.scala:60)
    at sparklyr.Utils.collectColumn(utils.scala)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:64)
    at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.base/java.lang.reflect.Method.invoke(Method.java:564)
    at sparklyr.Invoke.invoke(invoke.scala:147)
    at sparklyr.StreamHandler.handleMethodCall(stream.scala:136)
    at sparklyr.StreamHandler.read(stream.scala:61)
    at sparklyr.BackendHandler.$anonfun$channelRead0$1(handler.scala:58)
    at scala.util.control.Breaks.breakable(Breaks.scala:42)
    at sparklyr.BackendHandler.channelRead0(handler.scala:39)
    at sparklyr.BackendHandler.channelRead0(handler.scala:14)
    at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:99)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
    at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:102)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
    at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:321)
    at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:295)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
    at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1410)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
    at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:919)
    at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:163)
    at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:714)
    at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650)
    at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576)
    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493)
    at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
    at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
    at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
    at java.base/java.lang.Thread.run(Thread.java:832)
Caused by: java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD
    at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2301)
    at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1431)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2411)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.j

这里怎么了？为什么查询第一次执行，但如果我在同一个会话中重复该命令，查询就不会执行？
版本：
spark版本驱动程序：spark-3.0.1-bin-hadoop3.2
spark版本执行器图片：spark-3.0.1-bin-hadoop3.2
java版本eriver:jdk-15.0.2
java版本executor图片：使用openjdk-8的官方spark构建
r版本：4.0.3（2020-10-10）
SparkyR版本：SparkyR\ U 1.5.2

postgresqljdbcapache-sparkrsparklyr

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