File domain patron error when running spark streaming - scala

Question

I faced this error when running my application for several hours.
My spark application read stream from a streaming hudi table (hudi table that is constantly updated) and write to a parquet file. There is another stream read that same parquet file and write to another hudi table. The flow is as follow
Hudi -> stream 1 -> parquet -> stream 2 -> hudi
I can see the error appears when stream 2 read from the parquet file. The underlying storage is OneFS
User class threw exception: org.apache.spark.sql.streaming.StreamingQueryException: Failed to get file domain patron for path /path/_temporary. Error: Name: _temporary Status: STATUS_OBJECT_NAME_NOT_FOUND
=== Streaming Query ===
Identifier: [id = 72e6b29c-a641-47ff-82fc-ccd8146a4226, runId = 22af0796-7cb4-4599-b29f-ee95bda27cb3]
Current Committed Offsets: {FileStreamSource[hdfs://path]: {"logOffset":60}}
Current Available Offsets: {FileStreamSource[hdfs://path]: {"logOffset":60}}
Current State: ACTIVE
Thread State: RUNNABLE
Logical Plan:
FileStreamSource[hdfs://path]
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:356)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): Failed to get file domain patron for path path/_temporary. Error: Name: _temporary Status: STATUS_OBJECT_NAME_NOT_FOUND
at org.apache.hadoop.ipc.Client.call(Client.java:1476)
at org.apache.hadoop.ipc.Client.call(Client.java:1413)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
at com.sun.proxy.$Proxy10.getListing(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getListing(ClientNamenodeProtocolTranslatorPB.java:578)
at sun.reflect.GeneratedMethodAccessor54.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at com.sun.proxy.$Proxy11.getListing(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:2086)
at org.apache.hadoop.hdfs.DistributedFileSystem$DirListingIterator.<init>(DistributedFileSystem.java:944)
at org.apache.hadoop.hdfs.DistributedFileSystem$DirListingIterator.<init>(DistributedFileSystem.java:927)
at org.apache.hadoop.hdfs.DistributedFileSystem$19.doCall(DistributedFileSystem.java:872)
at org.apache.hadoop.hdfs.DistributedFileSystem$19.doCall(DistributedFileSystem.java:868)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.listLocatedStatus(DistributedFileSystem.java:886)
at org.apache.hadoop.fs.FileSystem.listLocatedStatus(FileSystem.java:1696)
at org.apache.spark.util.HadoopFSUtils$.listLeafFiles(HadoopFSUtils.scala:220)
at org.apache.spark.util.HadoopFSUtils$.$anonfun$parallelListLeafFilesInternal$1(HadoopFSUtils.scala:95)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.util.HadoopFSUtils$.parallelListLeafFilesInternal(HadoopFSUtils.scala:85)
at org.apache.spark.util.HadoopFSUtils$.parallelListLeafFiles(HadoopFSUtils.scala:69)
at org.apache.spark.sql.execution.datasources.InMemoryFileIndex$.bulkListLeafFiles(InMemoryFileIndex.scala:158)
at org.apache.spark.sql.execution.datasources.InMemoryFileIndex.listLeafFiles(InMemoryFileIndex.scala:131)
at org.apache.spark.sql.execution.datasources.InMemoryFileIndex.refresh0(InMemoryFileIndex.scala:94)
at org.apache.spark.sql.execution.datasources.InMemoryFileIndex.<init>(InMemoryFileIndex.scala:66)
at org.apache.spark.sql.execution.streaming.FileStreamSource.allFilesUsingInMemoryFileIndex(FileStreamSource.scala:248)
at org.apache.spark.sql.execution.streaming.FileStreamSource.fetchAllFiles(FileStreamSource.scala:301)
at org.apache.spark.sql.execution.streaming.FileStreamSource.fetchMaxOffset(FileStreamSource.scala:128)
at org.apache.spark.sql.execution.streaming.FileStreamSource.latestOffset(FileStreamSource.scala:325)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$3(MicroBatchExecution.scala:394)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:357)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:355)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:385)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at scala.collection.immutable.Map$Map1.foreach(Map.scala:128)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:382)
at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:613)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.constructNextBatch(MicroBatchExecution.scala:378)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala: