IMPORTANT NOTE: We may introduce a backward incompatible changes regarding samza job submission in the future 1.4 release. Details can be found on SEP-23: Simplify Job Runner
We’re thrilled to announce the release of Apache Samza 1.3.0.
Today Samza forms the backbone of hundreds of real-time production applications across a multitude of companies, such as LinkedIn, VMWare, Slack, Redfin among many others. 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 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.
Beam Samza Runner that marries Beam’s best in class support for EventTime based windowed processing and sophisticated triggering with Samza’s stable and scalable stateful processing model.
A fully pluggable model for input sources (e.g. Kafka, Kinesis, DynamoDB streams etc.) and output systems (HDFS, Kafka, ElastiCache etc.).
A Table API that provides a common abstraction for accessing remote or local databases and allowing developers are able to “join” an input event stream with such a Table.
Flexible deployment model for running 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.
This release brings the following features, upgrades, and capabilities (highlights):
Startpoint support improvement
Samza SQL improvement
Table API improvement
Miscellaneous bug fixes
Full list of the jiras addressed in this release can be found here.
SAMZA-2201 Startpoints - Integrate fan out with job coordinators
SAMZA-2215 StartpointManager fix for previous CoordinatorStreamStore refactor
SAMZA-2220 Startpoints - Fully encapsulate resolution of starting offsets in OffsetManager
SAMZA-2234 Samza SQL : Provide access to Samza context to the Sama SQL UDFs
SAMZA-2313 Samza-sql: Add validation for Samza sql statements
SAMZA-2354 Improve UDF discovery in samza-sql
SAMZA-2191 support batching for remote tables
SAMZA-2200 update table sendTo() and join() operation to accept additional arguments
SAMZA-2219 Add a dummy table read function
SAMZA-2309 Remote table descriptor requires read function
SAMZA-2198 containers process always takes task.shutdown.ms to shut down
SAMZA-2293 Propagate the watermark future to StreamOperatorTask correctly