Known Issues

Description of the problem or behavior

org.apache.catalina.startup.Catalina start
org.apache.tomcat.util.digester.Digester startElement
SEVERE: Begin event threw exception
java.lang.ClassNotFoundException: org.apache.catalina.mbeans.ServerLifecycleListener

Workaround

Description of the problem or behavior

SSL is deprecated and its use in production is not recommended. Use TLS.

Workaround

In Ambari: Use ssl.enabled.protocols=TLSv1|TLSv1.1|TLSv1.2 and security.server.disabled.protocols=SSL|SSLv2|SSLv3. For help configuring TLS for other components, contact customer support. Documentation will be provided in a future release.

Description of Problem

When you partition a Hive column of type double, if the column value is 0.0, the actual partition directory is created as "0". An AIOB exception occurs.

Associated error message

2018-06-28T22:43:55,498 ERROR
441773a0-851c-4b25-9e47-729183946a26 main exec.StatsTask:  Failed to run
stats task org.apache.hadoop.hive.ql.metadata.HiveException:
java.lang.IndexOutOfBoundsException:  Index: 8, Size: 8 at
org.apache.hadoop.hive.ql.metadata.Hive.setPartitionColumnStatistics(Hive.java:4395)
~hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT at
org.apache.hadoop.hive.ql.stats.ColStatsProcessor.persistColumnStats(ColStatsProcessor.java:179)
~hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT at
org.apache.hadoop.hive.ql.stats.ColStatsProcessor.process(ColStatsProcessor.java:83)
~hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT at
org.apache.hadoop.hive.ql.exec.StatsTask.execute(StatsTask.java:108)
hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT  at
org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:205)
hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT at
org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:97)
hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT  at
org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:2689)
hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT  at
org.apache.hadoop.hive.ql.Driver.execute(Driver.java:2341)
hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT at
org.apache.hadoop.hive.ql.Driver.run

Workaround

Do not partition columns of type double.

Description of the Problem

The upgrade process fails to perform necessary compaction of ACID tables and can cause permanent data loss.

Workaround

If you have ACID tables in your Hive metastore, enable ACID operations in Ambari or set Hive configuration properties to enable ACID. If ACID operations are disabled, the upgrade process does not convert ACID tables. This causes permanent loss of data; you cannot recover data in your ACID tables later.

Description of the Problem

The upgrade process might fail to make a backup of the Hive metastore, which is critically important.

Workaround

Manually make a manual backup of your Hive metastore database before upgrading. Making a backup is especially important if you did not use Ambari to install Hive and create the metastore database, but highly recommended in all cases. Ambari might not have the necessary permissions to perform the backup automatically. The upgrade can succeed even if the backup fails, so having a backup is critically important.

Description of the problem or behavior

When running Beeline in batch mode, queries killed by the Workload Management process can on rare occasions mistakenly return success on the command line.

Workaround

There is currently no workaround.

Description of the problem or behavior

Because the region assignment is refactored in HBase, there are unclear issues that may affect the stability of this feature. If you rely on RegionServer Groups feature, you are recommended to wait until a future HDP 3.x release, which will return the stability of this features as it was available in HBase 1.x/HDP 2.x releases.

Workaround

There is currently no workaround.

Description of the problem or behavior

Because the region assignment is refactored in HBase, there are unclear issues that may affect the stability of this feature. If you rely on Region replication feature, you are recommended to wait until a future HDP 3.x release, which will return the stability of this features as it was available in HBase 1.x/HDP 2.x releases.

Workaround

There is currently no workaround.

Description of the problem or behavior

An HBase service (Master or RegionServer) stops participating with the rest of the HBase cluster.

Associated error message

The service's log contains stack traces that contain "Kerberos principal name does NOT have the expected hostname part..."

Workaround

Retrying the connection solves the problem.

Description of the problem or behavior

HBase space quota policy state sometimes changes automatically from Disable to Observance.

Workaround

Disable the space quota policy on the table by setting LIMIT => NONE.

Description of the problem or behavior

When HiveServer2 is running in HA (high-availability) mode in HDP 3.0.0, resource plans are loaded in-memory by all HiveServer2 instances. If a client makes changes to a resource plan, the changes are reflected (pushed) only in the HiveServer2 to which the client is connected.

Workaround

In order for the resource plan changes to be reflected on all HiveServer2 instances, all HiveServer2 instances has to be restarted so that they can reload the resource plan from metastore.

Description of the problem or behavior

RDMBS schema for Hive metastore contains an index HL_TXNID_INDEX defined as

Hash indexes are not recommended by PostgreSQL. For more information, see https://www.postgresql.org/docs/9.4/static/indexes-types.html

Workaround

It's recommended that this index is changed to type BTREE.

Description of the problem or behavior

When Ambari is being proxied by Apache Knox, the QuickLinks are not rewritten to go back through the gateway. 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. Future release will make these reflect the gateway appropriately.

Workaround

There is currently no workaround.

Description of the problem or behavior

After upgrade from previous HDP versions, certain topology deployments may return a 503 error.This includes, but may not be limited to, knoxsso.xml for the KnoxSSO enabled services.

Workaround

When this is encountered, a minor change through Ambari (whitespace even) to the knoxsso topology (or any other with this issue) and restart of the Knox gateway server should eliminate the issue.

Description of the problem or behavior

Visiting Knox Admin UI in any browser (Firefox / Chrome) sets the HTTP Strict Transport Security (HSTS) header for the host where Knox is running. Any subsequent request to other service on the same host (e.g. Graphana, Ranger etc.) over HTTP would get redirected to HTTPS due to this header.

Please note that, this HSTS header is disabled in all Knox topologies by default.

For more information, see https://knox.apache.org/books/knox-1-1-0/user-guide.html#HTTP+Strict+Transport+Security

Impact

All the non-SSL requests to other services get redirected automatically to HTTPS and would result in SSL errors like: SSL_ERROR_RX_RECORD_TOO_LONG or some other error.

Workaround

Use the manager.xml topology and remove the setting from the WebAppSec provider. You can do this using the Knox Admin UI. After you have removed the setting, close your browser or clear the cookies.

Description of the problem or behavior

If you are using a non-rpm based Linux distribution, for example, Debian, Ubuntu, Oozie cannot start after upgrade due to incorrect Apache Tomcat server version present in your operating system.

Workaround

Install Apache Tomcat 7 or later manually after you finished the upgrade.

Description of the problem or behavior

Spark Structured Streaming job is intermittently reading from the beginning instead of the last offset maintained by the checkpoint.

Associated error message

WARNid [Executor task launch worker for task 111id] <DATE_TIME> WARN ConsumerConfig: The configuration 'request.required.acks' was supplied but isn't a known config.

Workaround

Upgrade to Cloudera Data Platform (CDP).

Description of the problem or behavior

When Spark Thriftserver has to run several queries concurrently, some of them can fail with a timeout exception when performing broadcast join.

Associated error message

Caused by:
java.util.concurrent.TimeoutException: Futures timed out after [300 seconds]  at
                           
scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)  at
scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at 
scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)  at
scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) at 
scala.concurrent.Await$.result(package.scala:107)  at
org.apache.spark.sql.execution.joins.BroadcastHashJoin.doExecute(BroadcastHashJoin.scala:107)
                           

Workaround

You can resolve this issue by increasing the spark.sql.broadcastTimeout value.

Description of the problem or behavior

YARN NodeManagers fail to start after a Spark patch upgrade due to YarnShuffleService CNF.

Workaround

To resolve this problem you must:

Replace "{{spark2_version}}" with "${hdp.version}" in "yarn.nodemanager.aux-services.spark2_shuffle.classpath" property value. For example, old value "{{stack_root}}/{{spark2_version}}/spark2/aux/*" -> new value "{{stack_root}}/${hdp.version}/spark2/aux/*"

Description of the problem or behavior

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
org.apache.spark.sql.catalyst.parser.ParseException:
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

Description of the problem or behavior

Submitting a topology to Storm fails. You see an error when you submit a topology to Storm.

Associated error message

The following error message is displayed when submitting a topology with the stack trace org.apache.storm.hack:

Exception in thread "main" java.lang.IllegalArgumentException
    at org.apache.storm.hack.shade.org.objectweb.asm.ClassReader.<init>(Unknown Source)
    at org.apache.storm.hack.shade.org.objectweb.asm.ClassReader.<init>(Unknown Source)
    at org.apache.storm.hack.shade.org.objectweb.asm.ClassReader.<init>(Unknown Source)

Workaround

Find if `client.jartransformer.class` is present in the Storm configuration using the Ambari user interface. If the config is present, please set to ' ' and restart Storm service to take effect.

	Note
	The value that you have to provide is one whitespace, Ambari restricts the configuration to have a value, but does not allow multiple whitespaces.

Description of the problem or behavior

In HDP 3, managed Hive tables must be transactional (hive.strict.managed.tables=true). Transactional tables with Parquet format are not supported by Hive. Hive imports with --as-parquetfile must use external tables by specifying --external-table-dir.

Associated error message

Table db.table failed strict managed table checks due to the
following reason: Table is marked as a managed table but is not
transactional. 

Workaround

sqoop import ... --hive-import
                 --as-parquetfile 
                 --external-table-dir hdfs:///path/to/table

Description of the problem or behavior

In HDP 3, managed Hive tables must be transactional (hive.strict.managed.tables=true). Writing transactional table with HCatalog is not supported by Hive. This leads to errors during HCatalog Sqoop imports if the specified Hive table does not exist or is not external.

Associated error message

Workaround

Before running the HCatalog import with Sqoop, the user must create the external table in Hive. The --create-hcatalog-table does not support creating external tables.

Description of the problem or behavior

With wire encryption enabled with containerized Spark on YARN with Docker, Spark submit fails in "cluster" deployment mode. Spark submit in "client" deployment mode works successfully.

Workaround

There is currently no workaround.

Description of the problem or behavior

When YARN is installed and configured with KNOX SSO alone, Application Timeline Server web endpoint blocks remote REST calls from YARN UI and displays a 401 Unauthorized error.

Associated error message

Workaround

Administrator needs to configure Knox authentication handler for Timeline Server and existing hadoop level configuration.

Administrator needs to tune the following cluster specific configurations. Values for the last two property is in the hadoop.authentication.* properties file.

<property>
<name>yarn.timeline-service.http-authentication.type</name>
<value>org.apache.hadoop.security.authentication.server.JWTRedirectAuthenticationHandler</value>
</property>

<property>
<name>yarn.timeline-service.http-authentication.authentication.provider.url</name>
<value>https://ctr-e138-1518143905142-455650-01-000002.hwx.site:444/gateway/knoxsso/api/v1/websso</value>
</property>

<property>
<name>yarn.timeline-service.http-authentication.public.key.pem</name>
<value>public.key.pem</value>
</property>

Description of the problem or behavior

Zeppelin does not show all WARN messages thrown by spark-shell at the Zeppelin's notebook level.

Workaround

There is currently no workaround for this.

Description of the problem or behavior

Open JDK 8u242 is not supported as it causes Kerberos failure.

Workaround

Use a different version of Open JDK.