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Known Issues

Hortonworks Bug IDApache JIRAApache ComponentSummary
BUG-60904 KNOX-823 Knox

Component Affected: Knox

Description of Problem: When Apache Knox uses Ambari as a proxy, the QuickLinks are not rewritten to go back through the gateway.

Workaround: If all access to Ambari is through Knox in the deployment the new Ambari quicklink profile may be used to hide and/or change URLs to go through Knox permanently. A future release will make these reflect the gateway appropriately.

BUG-61512 FALCON-1965 Falcon

Component Affected: Falcon

Description of Problem: When upgrading to HDP 2.6 or later with Falcon, you might encounter the following error when starting the ActiveMQ server:
 ERROR - [main:] ~ Failed to start ActiveMQ JMS Message Broker. Reason: java.lang.NegativeArraySizeException (BrokerService:528) You might also encounter this error if downgrading Falcon from HDP 2.6 to an earlier release.

Workaround: If you encounter this error, delete the ActiveMQ history and then restart Falcon. If you want to retain the history, be sure to back up the ActiveMQ history prior to deleting it.


rm -rf ./localhost 

cd /usr/hdp/current/falcon-server
su -l <FALCON_USER> 

BUG-65977 SPARK-14922 Spark

Component Affected: Spark

Description of Problem: Since Spark 2.0.0, `DROP PARTITION BY RANGE` is not supported grammatically. In other words, only '=' is supported while `<', '>', '<=', '>=' aren't.

Associated Error Message:

scala> sql("alter table t drop partition (b<1) ").show 
mismatched input '<' expecting {')', ','}(line 1, pos 31)

== SQL == 
alter table t drop partition (b<1) 

Workaround: To drop partition, use the exact match with '='. scala> sql("alter table t drop partition (b=0) ").show

BUG-68628SPARK-16605, SPARK-16628Spark

Component Affected: Spark

Description of Problem: Column names are not getting created for Spark DataFrame

Workaround: There are two workaround options for this issue:

  • Use Spark to create the tables instead of Hive.

  • Set: sqlContext.setConf("spark.sql.hive.convertMetastoreOrc", "false")

BUG-68632 SPARK-18355 Spark

Component Affected: Spark

Description of Problem: The property spark.sql.hive.convertMetastoreOrc is set to "true" by default. This may impact performance.

Workaround: You can set this property as "false" to gain some performance improvement. However, you cannot use this property for ORC tables with new columns made by `ALTER TABLE`. The default is false for safety.


Component Affected: Zeppelin

Description of Problem: A Hive query submitted to the %jdbc interpreter returns a proxy validation error.

Associated error messages:

  • HiveSQLException: Failed to validate proxy privilege of zeppelin for <user>

  • The hiveserver2.log file lists a permission denied exception: org.apache.hadoop.ipc.RemoteException( Permission denied: user=<user>, access=WRITE, inode="/user/<user>":hdfs:hdfs:drwxr-xr-x at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check( …


  1. Create the user account on all worker nodes. For example, if the account is user3, issue the following command: $ adduser user3

  2. Restart the %jdbc interpreter.


Component Affected: Zeppelin

Description of Problem: When used with Hive, the %jdbc interpreter might require Hadoop common jar files that need to be added manually.


  1. On the Interpreters page, add a new repository.

  2. Set the repository ID to “hortonworks”.

  3. Set the URL to “”.

  4. Identify the version of HDP running on the cluster. You can find this in the Zeppelin UI by clicking on your user ID and choosing "About Zeppelin." The number after the Zeppelin version is the HDP version number.

  5. In the Dependencies section on the Interpreters page, remove existing jar files and add the following three jar files, with the correct HDP version for your cluster. The following example uses version

    • org.apache.hive:hive-jdbc::standalone:1.2.1000. Xerces:xerces:2.4.0

    • org.apache.hadoop:hadoop-common:

BUG-74152 PHOENIX-3688 Phoenix

Component Affected: Phoenix

Description of Problem: Rebuild(ALTER INDEX IDX ON TABLE REBUILD) of indexes created on the table having row_timestamp column will result in no data visible to the User for that Index.

Workaround: Drop the index and recreate the same index. There will not be any extra overhead of recreating index when compared with rebuild Index.

BUG-75179 ZEPPELIN-2170 Zeppelin

Component Affected: Zeppelin

Description of Problem: Zeppelin does not show all WARN messages thrown by spark-shell. At the Zeppelin notebook level, we cannot change the log level that comes as an output.

Associated Error Message: There is no error message. This error is only related to increasing or decreasing logging in notebook output.

Workaround: Currently, there is no workaround for this.

BUG-76996N/ASpark 2 (Livy)

Description of Problem: When upgrading from HDP-2.5.x to HDP-2.6.0 and using Spark2, the Livy interpreter is configured with a scope of 'global', and should be changed to 'scoped'.

Workaround: After upgrading from HDP 2.5 to HDP 2.6, set the interpreter mode for %livy (Spark 2) to "scoped" using the pulldown menu in the %livy section of the Interpreters page.

BUG-78035 ZEPPELIN-1263 Spark

Component Affected: Zeppelin

Description of Problem: spark.driver.memory will not take effect, the driver memory is always 1G.

Workaround: To change the driver memory, specify it in the SPARK_DRIVER_MEMORY property on the interpreter setting page for your spark interpreter.


Description of Problem: The AD roles defined in shiro_ini are not honored while setting up permissions in Zeppelin notebooks.

Workaround: Remove securityManager.realm = $activeDirectoryRealm from Shiro through Ambari.


Description of Problem: Upgrading to a newer version of HDP version will not persist any Zeppelin notebooks from the previous version.

Workaround: Copy the Zeppelin notebooks from you previous HDP installation into /usr/hdp/current/zeppelin-server/notebook and restart zeppelin service. Zeppelin notebooks are located in /usr/hdp/<PREV_HDP_VERSION>/zeppelin/notebook

BUG-80656 Zeppelin

Component Affected: Zeppelin

Description of Problem: Zeppelin fails to start during the upgrade process from HDP 2.5 to HDP 2.6. The error starts with

Exception in thread "main" org.apache.shiro.config.ConfigurationException: Unable to instantiate class org.apache.zeppelin.server.ActiveDirectoryGroupRealm for object named 'activeDirectoryRealm'. Please ensure you've specified the fully qualified class name correctly.

Workaround: This error is due to a change in configuration class for Active Directory.

In HDP 2.5:


In HDP 2.6:


To resolve this issue, choose one of the following two alternatives:

  • Proceed with the upgrade, and change the configuration in the shiro.ini file after the upgrade is complete (when Ambari allows configuration change).

  • At time of failure, change the class name in /usr/hdp/current/zeppelin-server/conf/shiro.ini, and then start Zeppelin manually.


Component Affected: Zeppelin/Livy

Description of Problem: This occurs when running applications through Zeppelin/Livy that requires 3rd-party libraries. These libraries are not installed on all nodes in the cluster but they are installed on their edge nodes. Running in yarn-client mode, this all works as the job is submitted and runs on the edge node where the libraries are installed. In yarn-cluster mode,this fails because the libraries are missing.

Workaround: Set the location inspark.jars in spark-defaults.conf. For Livy, you will need to set livy.spark.jars (the HDFS location) in livy interpreters conf. Both are globally applicable. The jars need to be present on the livy machine in both cases. Updating livy conf is preferable since it affects only the Zeppelin users.


Description of Problem: LivySparkSQLInterpreter throws NullPointerException when getProgress is called. This prevents you from seeing the progress for %livy.sql.

Workaround: Currently, there is no workaround for this issue.


Description of Problem: Executing concurrent queries over Spark via Spark1-llap package spawns multiple threads. This may cause multiple queries to fail. However, this will not break the spark thrift server. Spark 1.6 is built using Scala 2.10, which is where this issue manifests (i.e. " synchronize reflection code as scala 2.10 reflection is not threadsafe self"). This issue was subsequently fixed in Scala 2.11 based on this patch

Associated error messages:

  • scala.reflect.internal.Symbols$CyclicReference: illegal cyclic reference involving class LlapContext
  • SparkExecuteStatementOperation: Error running hive query: 
    org.apache.hive.service.cli.HiveSQLException: scala.reflect.internal.Symbols$CyclicReference: illegal cyclic reference involving class LlapContext

Workaround: Isolate the broken queries and re-run them one by one. This will limit the query to one spawned thread.


Description of the problem: Hive test connection and resource lookup will not be functional from Ranger UI due to Hive JDBC jar issue (HIVE-6050).


  1. Locate 'hive*jar' files (2.1.0 version) found under /usr/hdp/current/ranger-admin/ews/webapp/WEB-INF/classes/ranger-plugins/hive/

  2. Remove the above jar files (you can move them to a backup location) and copy 1.2.1000 version of the same jar files (which can be found in /usr/hdp/current/hive-client/lib/) to /usr/hdp/current/ranger-admin/ews/webapp/WEB-INF/classes/ranger-plugins/hive/

  3. Restart Ranger Admin

HOPS-35N/A Ambari, Falcon

Description of Problem: Falcon check service is failing in PPC

Workaround: You will need to install the Berkeley db jar file into the falcon server host. You can do this by following these steps:

  1. wget -O je-5.0.73.jar

  2. cp je-5.0.73.jar /usr/share/

  3. chmod 644 /usr/share/je-5.0.73.jar

  4. ambari-server setup --jdbc-db=bdb --jdbc-driver=/usr/share/je-5.0.73.jar

  5. ambari-server restart

  6. Restart Falcon service