What's new

Cloudera Streaming Analytics - Kubernetes Operator 1.2.0

To learn more about Cloudera Streaming Analytics - Kubernetes Operator and its typical deployment architecture, see Overview and for the installation instructions, see Installation.

This release of the Cloudera Streaming Analytics - Kubernetes Operator is based on the Apache Flink Kubernetes Operator (Flink Operator) 1.9.0 and Apache Flink (Flink) 1.19.2. For more information about the supported versions, see the following upstream resources:

• Flink Operator 1.9.0
• Flink 1.19.2

Flink

Rebase to Flink 1.19.2

Apache Flink 1.19.2 is supported in Cloudera Streaming Analytics - Kubernetes Operator 1.2.0

For more information on what is included in the Apache Flink 1.19.2 version, see the Apache Flink 1.19.2 Release Announcement and Release Notes.

Rebase to Flink Operator 1.9.0

Apache Flink Operator 1.9.0 is supported in Cloudera Streaming Analytics - Kubernetes Operator 1.2.0

For more information on what is included in the Apache Flink Operator 1.9.0 version, see the Apache Flink 1.9.0 Release Announcement and Release Notes.

Cloudera SQL Stream Builder

General availability for Cloudera SQL Stream Builder

Cloudera SQL Stream Builder, previously in Technical Preview, is now generally available in Cloudera Streaming Analytics - Kubernetes Operator.

Cloudera SQL Stream Builder is a comprehensive interactive user interface for creating stateful stream processing jobs using SQL. For more information about Cloudera SQL Stream Builder and its features, see the Getting started with Cloudera SQL Stream Builder page.

LDAP authentication in Cloudera SQL Stream Builder

LDAP-based authentication is available for Cloudera SQL Stream Builder. For more information, refer to LDAP authentication.

Custom truststores

You can create custom truststores in the values.yaml file. For more information, refer to Configuring custom truststores.

Secure TLS connections to the Cloudera SQL Stream Builder UI and API

Users can connect to Cloudera SQL Stream Builder and API via a TLS encrypted channel. For more information, refer to Routing with ingress.

Using Python UDFs for table transformations and webhook connector

Due to the deprecation of Javascript for Cloudera Streaming Analytics - Kubernetes Operator (see Deprecation notices), support in Python UDFs for table transformations and the webhook connector have been added to Cloudera SQL Stream Builder and Flink.

Configurable requests and limits for all resources

Resource requests/limits can be configured in the values.yaml file. For more information, refer to Resource requests and limits.