Nicola Marangoni created LIVY-700:
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Summary: Connection refused from YARN when impersonation enabled
Key: LIVY-700
URL: https://issues.apache.org/jira/browse/LIVY-700
Project: Livy
Issue Type: Bug
Components: Interpreter
Affects Versions: 0.6.0
Environment: Cloudera 5.7 Hadoop 2.6 Spark 2.4.x Centos7 Livy 0.6
Zeppelin 8.2
Reporter: Nicola Marangoni
I have Livy and Zeppelin running under the user "zeppelin" on an edge node.
The Cloudera-cluster is not kerberized. Livy is set in yarn client mode.
When the impersonation is not enabled the Livy interpreter works, and a YARN
job ist started on the cluster using the user "zeppelin".
When *livy.impersonation.enabled = true* Livy cannot connect to the YARN RM:
{code:java}
19/10/24 14:40:58 INFO utils.LineBufferedStream: 19/10/24 14:40:58 INFO
client.ConfiguredRMFailoverProxyProvider: Failing over to rm271
19/10/24 14:40:58 INFO utils.LineBufferedStream: 19/10/24 14:40:58 INFO
retry.RetryInvocationHandler: Exception while invoking getClusterMetrics of
class ApplicationClientProtocolPBClientImpl over rm271 after 1 fail over
attempts. Trying to fail over immediately.
19/10/24 14:40:58 INFO utils.LineBufferedStream: 19/10/24 14:40:58 INFO
client.ConfiguredRMFailoverProxyProvider: Failing over to rm270
19/10/24 14:40:58 INFO utils.LineBufferedStream: 19/10/24 14:40:58 INFO
retry.RetryInvocationHandler: Exception while invoking getClusterMetrics of
class ApplicationClientProtocolPBClientImpl over rm270 after 2 fail over
attempts. Trying to fail over after sleeping for 374ms.
19/10/24 14:40:58 INFO utils.LineBufferedStream: java.net.ConnectException:
Call From <localhost>/123.123.123.123 to yarn.rm.host.name:8032 failed on
connection exception: java.net.ConnectException: Connection refused; For more
details see: http://wiki.apache.org/hadoop/ConnectionRefused{code}
This error happen after the spark driver is successfully started.
Spark simply doesn't get any resources from YARN.
Zeppelin is configured to use FreeIPA over LDAP for login. The user I use to
login to the zeppelin UI has even more rights on the cluster and if I start a
spark-shell on the same cluster with that user I get a YARN job without any
issue.
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