05-18-2022 09:45 AM
Starting from yesterday 17/5/2022 i start getting errors while running notebooks or jobs on clusters of Databricks GCP.
The error is:
SparkException: Environment directory not found at /local_disk0/.ephemeral_nfs/cluster_libraries/python
The job/notebooks can do some of the operations but some of the operations like:
display(dbutils.fs.ls("/%s" % mount_name))
I tried to start a new cluster. I tried to reduce any init scripts.
The full error:
22/05/18 05:30:09 WARN TaskSetManager: Lost task 3.0 in stage 0.0 (TID 3) (10.71.1.3 executor 0): org.apache.spark.SparkException: Environment directory not found at /local_disk0/.ephemeral_nfs/cluster_libraries/python
at org.apache.spark.util.DatabricksUtils$.waitForEnvironmentFileSystem(DatabricksUtils.scala:685)
at org.apache.spark.api.python.PythonWorkerFactory.$anonfun$startDaemon$1(PythonWorkerFactory.scala:273)
at org.apache.spark.api.python.PythonWorkerFactory.$anonfun$startDaemon$1$adapted(PythonWorkerFactory.scala:273)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:273)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:185)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:134)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:209)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:251)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:77)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:380)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:344)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:380)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:344)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:380)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:344)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:380)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:344)
at org.apache.spark.sql.execution.SQLExecutionRDD.$anonfun$compute$1(SQLExecutionRDD.scala:57)
at org.apache.spark.sql.internal.SQLConf$.withExistingConf(SQLConf.scala:170)
at org.apache.spark.sql.execution.SQLExecutionRDD.compute(SQLExecutionRDD.scala:57)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:380)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:344)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:380)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:344)
at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$3(ResultTask.scala:75)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$1(ResultTask.scala:75)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:55)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:156)
at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:125)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.Task.run(Task.scala:95)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$13(Executor.scala:826)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1670)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:829)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:684)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
05-19-2022 12:15 AM
Databricks supports detected an issue with the NFS mounts on GCP.
Looks like DBR 10.X versions were affected.
After several hours they fixed it and now the same clusters are back to normal.
05-19-2022 12:09 AM
05-19-2022 12:15 AM
Databricks supports detected an issue with the NFS mounts on GCP.
Looks like DBR 10.X versions were affected.
After several hours they fixed it and now the same clusters are back to normal.
05-19-2022 01:08 AM
Hi @Pablo (Ariel) , glad to know that it works smoothly now. Shall we resolve this thread directly? Would you like to mark your answer as the best?
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.
If there isn’t a group near you, start one and help create a community that brings people together.
Request a New Group