docs/_blog/2018-05-31-announcing-the-release-of-apache-samza--0.14.1.md

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title: Announcing the release of Apache Samza 0.14.1
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    - name: Xinyu
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A minor release which contains improvements over multiple areas: SQL, Standalone, Eventhub, and Host-affinity.

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Announcing the release of Apache Samza 0.14.1

We are very excited to announce the release of **Apache Samza 0.14.1**  
Samza has been powering real-time applications in production across several large companies (including LinkedIn, Netflix, Uber, Slack, Redfin, TripAdvisor, etc) for years now. Samza provides leading support for large-scale stateful stream processing with:

-   First class support for local state (with RocksDB store). This allows a stateful application to scale up to 1.1 Million events/sec on a single machine with SSD.
-   Support for incremental checkpointing of state instead of full snapshots. This enables Samza to scale to applications with very large state.
-   A fully pluggable model for input sources (e.g. Kafka, Kinesis, DynamoDB streams etc.) and output systems (HDFS, Kafka, ElastiCache etc.).
-   A fully asynchronous programming model that makes parallelizing remote calls efficient and effortless.
-   High level API for expressing complex stream processing pipelines in a few lines of code.
-   Flexible deployment model for running the the applications in any hosting environment and with cluster managers other than YARN.
-   Features like canaries, upgrades and rollbacks that support extremely large deployments with minimal downtime.

### Enhancements, Upgrades and Bug Fixes

This is a minor release which contains improvements over multiple areas. In particular:  

-   **SQL**
-   [SAMZA-1681](https://issues.apache.org/jira/browse/SAMZA-1681) Add support for handling older record schema versions in AvroRelConverter
-   [SAMZA-1671](https://issues.apache.org/jira/browse/SAMZA-1671) Add insert into table support
-   [SAMZA-1651](https://issues.apache.org/jira/browse/SAMZA-1651) Implement GROUP BY SQL operator
-   **Standalone**
-   [SAMZA-1689](https://issues.apache.org/jira/browse/SAMZA-1689) Add validations before state transitions in ZkBarrierForVersionUpgrade
-   [SAMZA-1686](https://issues.apache.org/jira/browse/SAMZA-1686) Set finite operation timeout when creating zkClient
-   [SAMZA-1667](https://issues.apache.org/jira/browse/SAMZA-1667) Skip storing configuration as a part of JobModel in zookeeper data nodes
-   [SAMZA-1647](https://issues.apache.org/jira/browse/SAMZA-1647) Fix NPE in JobModelExpired event handler
-   **Eventhub**
-   [SAMZA-1688](https://issues.apache.org/jira/browse/SAMZA-1688) Use per partition eventhubs client
-   [SAMZA-1676](https://issues.apache.org/jira/browse/SAMZA-1676) Miscellaneous fix and improvement for eventhubs system
-   [SAMZA-1656](https://issues.apache.org/jira/browse/SAMZA-1656) EventHubSystemAdmin does not fetch metadata for valid streams
-   **Host-affinity**
-   [SAMZA-1687](https://issues.apache.org/jira/browse/SAMZA-1687) Prioritize preferred host requests over ANY-HOST requests
-   [SAMZA-1649](https://issues.apache.org/jira/browse/SAMZA-1649) Improve host-aware allocation to account for strict locality

In addition, Samza is also upgraded to support Kafka version 0.11 in this release.  
Overall, [51 JIRAs](https://issues.apache.org/jira/projects/SAMZA/versions/12343155) were resolved in this release. A source download of the 0.14.1 release is available [here](http://www.apache.org/dyn/closer.cgi/samza/0.14.1). The release JARs are also available in Apache’s Maven repository. See Samza’s [download](http://samza.apache.org/startup/download/) page for details and Samza’s [feature preview](https://samza.apache.org/startup/preview/) for new features. We requires JDK version newer than 1.8.0_111 when running 0.14.1 release for users who are using Scala 2.12.

### Community Developments

In March 21th, we held the meetup for [Stream Processing with Apache Kafka & Apache Samza](https://www.meetup.com/Stream-Processing-Meetup-LinkedIn/events/248309045/), which has the following presentations for Samza:

-   [Conquering the Lambda architecture in LinkedIn metrics platform with Apache Calcite and Apache Samza](https://www.youtube.com/watch?v=ZPWInJ4USIU) ([Slides](https://www.slideshare.net/KhaiTran17/conquering-the-lambda-architecture-in-linkedin-metrics-platform-with-apache-calcite-and-apache-samza))
-   [Building Venice with Apache Kafka & Samza](https://www.youtube.com/watch?v=Usz8E4S-hZE)

In industry, Samza got new adopters, including [Ntent](http://www.ntent.com) and [Movico](https://movio.co/en/).

### Contribute

It’s a great time to get involved. You can start by reviewing the [tutorials](http://samza.apache.org/startup/preview/#try-it-out), signing up for the [mailing list](http://samza.apache.org/community/mailing-lists.html), and grabbing some [newbie JIRAs](https://issues.apache.org/jira/issues/?jql=project%20%3D%20SAMZA%20AND%20labels%20%3D%20newbie%20AND%20status%20%3D%20Open).  
I’d like to close by thanking everyone who’s been involved in the project. It’s been a great experience to be involved in this community, and I look forward to its continued growth.