Known issues and limitations

SQL Stream Builder

ENGESC-23078 - Job not found after successful job creation

After successfully creating a job in SSB, the SQL job is not found due to tables having empty values. This issue is indicated with the following error message in the log files:

java.lang.IllegalArgumentException: argument "content" is null

The issue only applies when upgrading from a CSA version lower than 1.9.0.

Update the empty values with null string in the mv_config and checkpoint_config fields as shown in the following example:

UPDATE jobs SET mv_config = 'null' WHERE mv_config IS NULL;
UPDATE jobs SET checkpoint_config = 'null' WHERE checkpoint_config IS NULL;

CSA-4858 - Kerberos encryption type detection does not always work correctly for SSB

SSB detects no supported encryption types even though there is a list of allowed encryption types in the krb5.conf file. This causes an error when generating keytabs from the principal and password pair.

1. Run ktutil on your cluster.
2. Change the configuration with the following commands:

   addent -password -p [***USERNAME***] -k 1 -e aes256-cts
   wkt /tmp/new_keytab.keytab

3. Upload the new keytab on Streaming SQL Console.

Auto discovery is not supported for Apache Knox

You need to manually configure Knox with SQL Stream Builder to enable Knox authentication. Complete the configuration based on the CDP Private Cloud Base version you use. For more information, see the Enabling Knox authentication for SSB documentation.

Flink

DataStream conversion limitations

• Converting between Tables and POJO DataStreams is currently not supported in CSA.
• Object arrays are not supported for Tuple conversion.
• The java.time class conversions for Tuple DataStreams are only supported by using explicit TypeInformation: LegacyInstantTypeInfo, LocalTimeTypeInfo.getInfoFor(LocalDate/LocalDateTime/LocalTime.class).
• Only java.sql.Timestamp is supported for rowtime conversion, java.time.LocalDateTime is not supported.

Kudu catalog limitations

• CREATE TABLE
  • Primary keys can only be set by the kudu.primary-key-columns property. Using the PRIMARY KEY constraint is not yet possible.
  • Range partitioning is not supported.
• When getting a table through the catalog, NOT NULL and PRIMARY KEY constraints are ignored. All columns are described as being nullable, and not being primary keys.
• Kudu tables cannot be altered through the catalog other than simply renaming them.

Schema Registry catalog limitations

• Currently, the Schema Registry catalog / format only supports reading messages with the latest enabled schema for any given Kafka topic at the time when the SQL query was compiled.
• No time-column and watermark support for Registry tables.
• No CREATE TABLE support. Schemas have to be registered directly in the SchemaRegistry to be accessible through the catalog.
• The catalog is read-only. It does not support table deletions or modifications.
• By default, it is assumed that Kafka message values contain the schema id as a prefix, because this is the default behaviour for the SchemaRegistry Kafka producer format. To consume messages with schema written in the header, the following property must be set for the Registry client: store.schema.version.id.in.header: true.