Cloudera Docs

Known Issues in Apache Kafka

Known issues and technical limitations for Kafka are addressed in Cloudera Runtime 7.3.2, its service packs, and cumulative hotfixes.

Known issues identified in Cloudera Runtime 7.3.2

There are no new known issues identified in this release.

Known issues identified before Cloudera Runtime 7.3.2

Known issues identified before Cloudera Runtime 7.3.2 include only unresolved issues from previous releases that continue to affect the Cloudera Runtime 7.3.2 base release.

OPSAPS-59553: Streams Messaging Manager bootstrap server config should be updated based on Kafka's listeners
7.1.7 and its SP and CHF releases, 7.1.9 and its SP and CHF releases, 7.3.1 and its SP and CHF releases, 7.3.2
Streams Messaging Manager does not show any metrics for Kafka or Kafka Connect when multiple listeners are set in Kafka.
Streams Messaging Manager cannot identify multiple listeners and still points to bootstrap server using the default broker port (9093 for SASL_SSL). You need to override the bootstrap server URL by performing the following steps:
  1. In Cloudera Manager, go to Streams Messaging Manager > Configuration > Streams Messaging Manager Rest Admin Server Advanced Configuration Snippet (Safety Valve)
  2. Override bootstrap server URL (hostname:port as set in the listeners for broker) for streams-messaging-manager.yaml.
  3. Save your changes.
  4. Restart SMM.
KAFKA-2561: Performance degradation when SSL Is enabled
7.1.7 and its SP and CHF releases, 7.1.9 and its SP and CHF releases, 7.3.1 and its SP and CHF releases, 7.3.2
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.
RANGER-3809: Idempotent Kafka producer fails to initialize due to an authorization failure
7.1.7 and its SP and CHF releases, 7.1.9 and its SP and CHF releases, 7.3.1 and its SP and CHF releases, 7.3.2
Kafka producers that have idempotence enabled require the Idempotent Write permission to be set on the cluster resource in Ranger. If permission is not given, the client fails to initialize and an error similar to the following is thrown: 
org.apache.kafka.common.KafkaException: Cannot execute transactional method because we are in an error state
              at org.apache.kafka.clients.producer.internals.TransactionManager.maybeFailWithError(TransactionManager.java:1125)
              at org.apache.kafka.clients.producer.internals.TransactionManager.maybeAddPartition(TransactionManager.java:442)
              at org.apache.kafka.clients.producer.KafkaProducer.doSend(KafkaProducer.java:1000)
              at org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:914)
              at org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:800)
              .
              .
              .
              Caused by: org.apache.kafka.common.errors.ClusterAuthorizationException: Cluster authorization failed.
Idempotence is enabled by default for clients in Kafka 3.0.1, 3.1.1, and any version after 3.1.1. This means that any client updated to 3.0.1, 3.1.1, or any version after 3.1.1 is affected by this issue.
This issue has two workarounds, do either of the following:
  • Explicitly disable idempotence for the producers. This can be done by setting enable.idempotence to false.
  • Update your policies in Ranger and ensure that producers have Idempotent Write permission on the cluster resource.
CDPD-49304: AvroConverter does not support composite default values
7.1.7 and its SP and CHF releases, 7.1.9 and its SP and CHF releases, 7.3.1 and its SP and CHF releases, 7.3.2.0
AvroConverter cannot handle schemas containing a STRUCT type default value.
None.
CFM-3532: The Stateless NiFi Source, Stateless NiFi Sink, and HDFS Stateless Sink connectors cannot use Snappy compression
7.1.7 and its SP and CHF releases, 7.1.9 and its SP and CHF releases, 7.3.1 and its SP and CHF releases, 7.3.2
This issue only affects Stateless NiFi Source and Sink connectors if the connector is running a dataflow that uses a processor that uses Hadoop libraries and is configured to use Snappy compression. The HDFS Stateless Sink connector is only affected if the Compression Codec or Compression Codec for Parquet properties are set to SNAPPY.
If you are affected by this issue, errors similar to the following will be present in the logs. 
Failed to write to HDFS due to java.lang.UnsatisfiedLinkError: org.apache.hadoop.util.NativeCodeLoader.buildSupportsSnappy()
Failed to write to HDFS due to java.lang.RuntimeException: native snappy library not available: this version of libhadoop was built without snappy support.
Download and deploy missing libraries.
  1. Create the /opt/nativelibs directory.
    mkdir /opt/nativelibs
  2. Change the owner to kafka.
    chown kafka:kafka /opt/nativelibs
  3. Locate the directory containing the Hadoop native libraries and copy its contents to the directory you created.
    cp /opt/cloudera/parcels/CDH/lib/hadoop/lib/native/* /opt/nativelibs
  4. Verify that libsnappy.so was copied to the directory you created.
  5. Remove the following from /opt/nativelibs.
    libhadoop.a
                  libhadoop.so
                  libhadoop.so.1.0.0
  6. Run the following command.
    hadoop version

    The command returns the Hadoop version running in the cluster. Note down the first three digits in the version.

  7. Go to https://archive.apache.org/dist/hadoop/common/ and download the Hadoop version that matches the first three digits of the version running in the cluster.

    For example, if your Hadoop version is 3.1.1.7.1.9.0-296, then you need to download Hadoop 3.1.1.

  8. Extract the downloaded archive.
  9. Copy the following libraries from the downloaded archive to /opt/nativelibs on the cluster host.
    libhadoop.a
                  libhadoop.so.1.0.0

    The libraries are located in hadoop-[***VERSION***]/lib/native.

  10. Create a symlink named libhadoop.so and point it to /opt/nativelibs/libhadoop.so.1.0.0.
    ln -s /opt/nativelibs/libhadoop.so.1.0.0 /opt/nativelibs/libhadoop.so
  11. Change the owner of every entry within /opt/nativelibs to kafka.
    chown -h kafka:kafka /opt/nativelibs/*
  12. In Cloudera Manager, go to Kafka service > Configuration.
  13. Add the following key-value pair to Kafka Connect Environment Advanced Configuration Snippet (Safety Valve).
    • Key: LD_LIBRARY_PATH
    • Value: /opt/nativelibs
  14. Click Save Changes.
  15. Restart the Kafka service.

Unsupported Features

The following Kafka features are not supported in Cloudera:
  • Only Java and .Net based clients are supported. Clients developed with C, C++, Python, and other languages are currently not supported.
  • The Kafka default authorizer is not supported. This includes setting ACLs and all related APIs, broker functionality, and command-line tools.
  • SASL/SCRAM is only supported for delegation token based authentication. It is not supported as a standalone authentication mechanism.

Limitations

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