Known Issues in Streams Messaging

Learn about the known issues in Streams Messaging clusters, the impact or changes to the functionality, and the workaround.

Kafka

Learn about the known issues and limitations in Kafka in this release:

Known Issues

Topics created with the kafka-topics tool are only accessible by the user who created them when the deprecated --zookeeper option is used
By default all created topics are secured. However, when topic creation and deletion is done with the kafka-topics tool using the --zookeeper option, the tool talks directly to Zookeeper. Because security is the responsibility of ZooKeeper authorization and authentication, Kafka cannot prevent users from making ZooKeeper changes. As a result, if the --zookeeper option is used, only the user who created the topic will be able to carry out administrative actions on it. In this scenario Kafka will not have permissions to perform tasks on topics created this way.
Use kafka-topics with the --bootstrap-server option that does not require direct access to Zookeeper.
Certain Kafka command line tools require direct access to Zookeeper
The following command line tools talk directly to ZooKeeper and therefore are not secured via Kafka:
  • kafka-reassign-partitions
None
The offsets.topic.replication.factor property must be less than or equal to the number of live brokers
The offsets.topic.replication.factor broker configuration is now enforced upon auto topic creation. Internal auto topic creation will fail with a GROUP_COORDINATOR_NOT_AVAILABLE error until the cluster size meets this replication factor requirement.
None
Requests fail when sending to a nonexistent topic with auto.create.topics.enable set to true
The first few produce requests fail when sending to a nonexistent topic with auto.create.topics.enable set to true.
Increase the number of retries in the producer configuration setting retries.
KAFKA-2561: Performance degradation when SSL Is enabled
In some configuration scenarios, significant performance degradation can occur when SSL is enabled. The impact varies depending on your CPU, JVM version, Kafka configuration, and message size. Consumers are typically more affected than producers.
Configure brokers and clients with ssl.secure.random.implementation = SHA1PRNG. It often reduces this degradation drastically, but its effect is CPU and JVM dependent.
OPSAPS-43236: Kafka garbage collection logs are written to the process directory
By default Kafka garbage collection logs are written to the agent process directory. Changing the default path for these log files is currently unsupported.
None
CDPD-49304: AvroConverter does not support composite default values
AvroConverter cannot handle schemas containing a STRUCT type default value.
None.

Limitations

Collection of Partition Level Metrics May Cause Cloudera Manager’s Performance to Degrade

If the Kafka service operates with a large number of partitions, collection of partition level metrics may cause Cloudera Manager's performance to degrade.

If you are observing performance degradation and your cluster is operating with a high number of partitions, you can choose to disable the collection of partition level metrics.
Complete the following steps to turn off the collection of partition level metrics:
  1. Obtain the Kafka service name:
    1. In Cloudera Manager, Select the Kafka service.
    2. Select any available chart, and select Open in Chart Builder from the configuration icon drop-down.
    3. Find $SERVICENAME= near the top of the display.
      The Kafka service name is the value of $SERVICENAME.
  2. Turn off the collection of partition level metrics:
    1. Go to Hosts > Hosts Configuration.
    2. Find and configure the Cloudera Manager Agent Monitoring Advanced Configuration Snippet (Safety Valve) configuration property.
      Enter the following to turn off the collection of partition level metrics:
      [KAFKA_SERVICE_NAME]_feature_send_broker_topic_partition_entity_update_enabled=false
      
      Replace [KAFKA_SERVICE_NAME] with the service name of Kafka obtained in step 1. The service name should always be in lower case.
    3. Click Save Changes.

Schema Registry

CDPD-49304: AvroConverter does not support composite default values
AvroConverter cannot handle schemas containing a STRUCT type default value.
None.
CDPD-54379: KafkaJsonSerializer and KafkaJsonDeserializer do not allow null values
KafkaJsonSerializer and KafkaJsonDeserializer do not allow the data to be null, resulting in a NullPointerException (NPE).
None.
CDPD-49217 and CDPD-50309: Schema Registry caches user group membership indefinitely

Schema Registry caches the Kerberos user and group information indefinitely and does not catch up on group membership changes.

Restart Schema Registry after group membership changes.
CDPD-60160: Schema Registry Atlas integration does not work with Oracle databases
Schema Registry is unable to create entities in Atlas if Schema Registry uses an Oracle database. The following will be present in the Schema Registry log if you are affected by this issue:
ERROR com.cloudera.dim.atlas.events.AtlasEventsProcessor: An error occurred while processing Atlas events.
java.lang.IllegalArgumentException: Cannot invoke com.hortonworks.registries.schemaregistry.AtlasEventStorable.setType on bean class 'class com.hortonworks.registries.schemaregistry.AtlasEventStorable' - argument type mismatch - had objects of type "java.lang.Long" but expected signature "java.lang.Integer"

This issue causes the loss of audit data on Oracle environments.

None.
CDPD-58949: Schemas are de-duplicated on import
On import, Schema Registry de-duplicates schema versions based on their fingerprints. This means that schemas which are considered functionally equivalent in SR get de-duplicated. As a result, some schema versions are not created, and their IDs do not become valid IDs in SR.
None.
CDPD-58990: getSortedSchemaVersions method orders by schemaVersionId instead of version number
On validation, Schema Registry orders schema versions based on ID instead of version number. In some situations, this can cause validation with the LATEST level to compare the new schema version to a non-latest version.

This situation can occur when an older version of a schema has a higher ID than the newer version of a schema, for example, when the older version is imported with an explicit ID.

None.

Streams Messaging Manager

Learn about the known issues in Streams Messaging Manager in this release.
CDPD-33770: On the topics details page selecting a custom timestamp is broken
When you select a custom TimePeriod (a non-predefined TimePeriod like 6 hours, 30 minutes etc.) on the SMM UI's topicDetail page, an error is going to be thrown, and the replication related metrics would not be displayed.
CDPD-46728: SMM UI shows the consumerGroup instead of the instances on the Profile page's right hand side
On the ConsumerGroupDetail page, SMM UI shows the group instead of its instances on the right hand side table.
None.
OPSAPS-63017: The Kafka Connect tab is missing from the SMM UI
Under certain circumstances the Kafka Connect tab in SMM might not be available by default on Data Hub clusters even if Kafka Connect is provisioned on the cluster. As a result, interacting with Kafka Connect using SMM is not possible.
  1. Access the Cloudera Manager instance managing the affected Data Hub cluster.
  2. Select the Streams Messaging Manager service, and go to Configuration.
  3. Find and configure the following properties:
    • Kafka Connect Host

      Enter the hostname of the machine that the Kafka Connect role is deployed on. If you have multiple instances of the Kafka Connect role, you can choose to use any of them. Add a single hostname, as configuring multiple hostnames for high availability is currently not supported.

    • Kafka Connect Port

      Enter the port that the Kafka Connect role is using. The value of this property must match the port set in the Secure Kafka Connect Rest Port Kafka property.

    • Kafka Connect Protocol

      Set this property to https.

OPSAPS-59553: SMM's bootstrap server config should be updated based on Kafka's listeners
SMM does not show any metrics for Kafka or Kafka Connect when multiple listeners are set in Kafka.
SMM cannot identify multiple listeners and still points to bootstrap server using the default broker port (9093 for SASL_SSL). You would have to override bootstrap server URL (hostname:port as set in the listeners for broker). Add the bootstrap server details in SMM safety valve in the following path:
Cloudera Manager > SMM > Configuration > Streams Messaging Manager Rest Admin Server Advanced Configuration Snippet (Safety Valve) for streams-messaging-manager.yaml > Add the following value for bootstrap servers > Save Changes > Restart SMM:
streams.messaging.manager.kafka.bootstrap.servers=<comma-separated list of brokers>
OPSAPS-59597: SMM UI logs are not supported by Cloudera Manager
Cloudera Manager does not support the log type used by SMM UI.
View the SMM UI logs on the host.

Streams Replication Manager

Learn about the known issues and limitations in Streams Replication Manager in this release:

Known Issues
CDPD-22089: SRM does not sync re-created source topics until the offsets have caught up with target topic
Messages written to topics that were deleted and re-created are not replicated until the source topic reaches the same offset as the target topic. For example, if at the time of deletion and re-creation there are a 100 messages on the source and target clusters, new messages will only get replicated once the re-created source topic has 100 messages. This leads to messages being lost.
None
CDPD-30275: SRM may automatically re-create deleted topics on target clusters
If auto.create.topics.enable is enabled, deleted topics might get automatically re-created on target clusters. This is a timing issue. It only occurs if remote topics are deleted while the replication of the topic is still ongoing.
  1. Remove the topic from the topic allowlist with srm-control. For example:
    srm-control topics --source [SOURCE_CLUSTER] --target [TARGET_CLUSTER] --remove [TOPIC1]
  2. Wait until SRM is no longer replicating the topic.
  3. Delete the remote topic in the target cluster.
OPSAPS-63104: The automatically generated password for co-located services is invalid
SRM automatically generates a username and password that can be used by co-located services to access SRM and its REST API. However, a unique password is generated for each SRM Service role instance. Because of this, co-located services that use the password, for example SMM, can only connect to one of the SRM Service role instances.
Manually configure a password using the SRM Service Co-Located Service User Password SRM property. The password you configure will be accepted by all SRM Service role instances.
CDPD-11079: Blacklisted topics appear in the list of replicated topics
If a topic was originally replicated but was later disallowed (blacklisted), it will still appear as a replicated topic under the /remote-topics REST API endpoint. As a result, if a call is made to this endpoint, the disallowed topic will be included in the response. Additionally, the disallowed topic will also be visible in the SMM UI. However, it's Partitions and Consumer Groups will be 0, its Throughput, Replication Latency and Checkpoint Latency will show N/A.
None
OPSAPS-62546: Kafka External Account SSL keypassword configuration is used incorrectly by SRM
When a Kafka External Account specifies a keystore that uses an SSL key password, SRM uses it as the ssl.keystore.key configuration. Due to using the incorrect ssl.keystore.key configuration, SRM will fail to load the keystore in certain cases.
Workaround: For the keystores used by the Kafka External Accounts, the SSL key password should match the SSL keystore password, and the SSL keystore key password should not be provided. Alternatively, you can use the legacy connection configurations based on the streams.replication.manager.configs to specify the SSL key password.
Limitations
SRM cannot replicate Ranger authorization policies to or from Kafka clusters
Due to a limitation in the Kafka-Ranger plugin, SRM cannot replicate Ranger policies to or from clusters that are configured to use Ranger for authorization. If you are using SRM to replicate data to or from a cluster that uses Ranger, disable authorization policy synchronization in SRM. This can be achieved by clearing the Sync Topic Acls Enabled (sync.topic.acls.enabled) checkbox.
SRM cannot ensure the exactly-once semantics of transactional source topics
SRM data replication uses at-least-once guarantees, and as a result cannot ensure the exactly-once semantics (EOS) of transactional topics in the backup/target cluster.
SRM checkpointing is not supported for transactional source topics
SRM does not correctly translate checkpoints (committed consumer group offsets) for transactional topics. Checkpointing assumes that the offset mapping function is always increasing, but with transactional source topics this is violated. Transactional topics have control messages in them, which take up an offset in the log, but they are never returned on the consumer API. This causes the mappings to decrease, causing issues in the checkpointing feature. As a result of this limitation, consumer failover operations for transactional topics is not possible.

Cruise Control

Learn about the known issues and limitations in Cruise Control in this release:

CDPD-47616: Unable to initiate rebalance, number of valid windows (NumValidWindows) is zero
If a Cruise Control rebalance is initiated with the rebalance_disk parameter and Cruise Control is configured to fetch metrics from Cloudera Manager (Metric Reporter is set to CM metrics reporter), Cruise Control stops collecting metrics from the partitions that are moved. This is because Cloudera Manager does not collect metrics from moved partitions due to an issue in Kafka (KAFKA-10320).

If the metrics are not available, the partition is considered invalid by Cruise Control. This results in Cruise Control blocking rebalance operations and proposal generation.

Configure Cruise Control to use to use the Cruise Control metrics reporter (default). This issue is not present if this metric reporter is used.
  1. In Cloudera Manager, select the Cruise Control service.
  2. Go to Configuration.
  3. Find the Metric Reporter property.
  4. Select the Cruise Control metrics reporter option.
  5. Restart the Cruise Control service.
OPSAPS-68148: Cruise Control rack aware goal upgrade handler
The goal sets in Cruise Control, which include the default, supported, hard, self-healing and anomaly detection goals, might be overridden to their default value after a cluster upgrade if the goals have been customized.
Create a copy from the values of the goal lists before upgrading your cluster, and add the copied values to the goal lists after upgrading the cluster. Furthermore, you must rename any mentioning of com.linkedin.kafka.cruisecontrol.analyzer.goals.RackAwareGoal to com.linkedin.kafka.cruisecontrol.analyzer.goals.RackAwareDistributionGoal as Cruise Control will not be able to start otherwise.