Known Issues
This section lists known issues and workarounds in Cloudera Observability on premises 3.7.1.
- SSL handshake failures
- In Cloudera Data Services on premises environments, telemetry agent pods, such as database producer in Cloudera Data Warehouse or dbus-wxml-client in Cloudera Data Engineering can encounter an SSLHandshakeException when communicating with the DBus API. The pod logs display a PKIX path building failed error.
- Impala does not support super user configuration for the observability user for Apache Ranger-enabled cluster
- The observability user requires full privileges on the Observability cluster. Required services such as Kafka, HDFS, HBase, and Hive support super user setup by specifying the ranger.plugin.[service].super.users property to observability. However, this super user setup is not supported for Impala.
- Exporting of Impala queries fail for Telemetry Publisher with Cloudera Manager 7.11.3
- Telemetry Publisher for Impala queries does not work with Cloudera Manager 7.11.3
- Auto Action trigger for Impala Engine
- Impala Auto Action triggers do not work for the Kerberos-enabled Private Cloud base cluster running on Cloudera Manager 7.9.5 and 7.11.3.
- Telemetry publisher test altus connection fails for Cloudera Manager 7.11.3 hotfix (CHF6, 7, and 8) versions
- Test connection fails with the following error:
Exception in thread "main" java.lang.NoSuchMethodError: 'com.google.common.collect.ImmutableSet com.google.common.collect.ImmutableSet.copyOf(java.util.Collection)' at com.cloudera.cdp.http.HttpCodesRetryChecker.<init>(HttpCodesRetryChecker.java:57) at com.cloudera.cdp.client.CdpClientConfigurationBuilder.<init>(CdpClientConfigurationBuilder.java:53) at com.cloudera.cdp.client.CdpClientConfigurationBuilder.defaultBuilder(CdpClientConfigurationBuilder.java:400) at com.cloudera.cdx.client.TestDatabusConnection.main(TestDatabusConnection.java:55)This issue only affects the test connection method.
- Limitations of Cloudera Observability Spark processing
- Spark event log processing is skipped under the following conditions:
- The event log size exceeds 20 GB.
- The number of Spark jobs in the Spark application exceeds 500.
- The number of SQL executions in the Spark application exceeds 500.
- When spark.history.fs.eventLog.rolling.maxFilesToRetain is set, Spark keeps only recent event log files as configured inspark.history.fs.eventLog.rolling.maxFilesToRetain and older event log files are compacted (in a file with .compact extension). Spark event log processing of such Spark applications are skipped by Cloudera Observability.
