Known issues and limitations
The following limitations apply to Cloudera Streaming Analytics 1.2.
- The SQL Client is offered as a preview for user convenience, but in itself is not supported.
- The following SQL API features are in preview:
- Match recognize
- Top-N
- Stream-Table join (without rowtime input)
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 explicitTypeInformation
: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 thePRIMARY KEY
constraint is not yet possible. - Range partitioning is not supported.
- Primary keys can only be set by the
- When getting a table through the catalog,
NOT NULL
andPRIMARY 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 theSchemaRegistry
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
.