Hi Eugene，
I think you should Check if the HDFS service is running properly. From the
logs, it appears that there are two datanodes in HDFS, but none of them are
healthy. Please investigate the reasons why the datanodes are not functioning
properly. It seems that the issue might be due to insufficient disk space.
eabour
From: Eugene Miretsky
Date: 2023-11-16 05:31
To: user
Subject: Spark-submit without access to HDFS
Hey All,
We are running Pyspark spark-submit from a client outside the cluster. The
client has network connectivity only to the Yarn Master, not the HDFS
Datanodes. How can we submit the jobs? The idea would be to preload all the
dependencies (job code, libraries, etc) to HDFS, and just submit the job from
the client.
We tried something like this
'PYSPARK_ARCHIVES_PATH=hdfs://some-path/pyspark.zip spark-submit --master yarn
--deploy-mode cluster --py-files hdfs://yarn-master-url hdfs://foo.py'
The error we are getting is
"
org.apache.hadoop.net.ConnectTimeoutException: 60000 millis timeout while
waiting for channel to be ready for connect. ch :
java.nio.channels.SocketChannel[connection-pending remote=/10.117.110.19:9866]
org.apache.hadoop.ipc.RemoteException(java.io.IOException): File
/user/users/.sparkStaging/application_1698216436656_0104/spark_conf.zip could
only be written to 0 of the 1 minReplication nodes. There are 2 datanode(s)
running and 2 node(s) are excluded in this operation.
"
A few question
1) What are the spark_conf.zip files. Is it the hive-site/yarn-site conf files?
Why would the client send them to the cluster? (the cluster already has all
that info - this would make sense in client mode, but not cluster mode )
2) Is it possible to use spark-submit without HDFS access?
3) How would we fix this?
Cheers,
Eugene
--
Eugene Miretsky
Managing Partner | Badal.io | Book a meeting /w me!
mobile: 416-568-9245
email: eug...@badal.io
