Hazelcast Jet v4.3 Release Notes

Release Date: 2020-10-20 // over 2 years ago
    • @MohamedMandouh implemented distributed sorting: BatchStage.sort().
    • @guenter-hesse added a high-throughput source with precisely controlled
      🚤 timing, to be used to benchmark Jet's throughput and latency.
    • 👷 We added the ability for Jet to suspend an unbounded, fault-tolerant job
      👻 when it fails due to an exception in the pipeline code. This allows you
      🚚 to diagnose the problem, remove its cause, and resume the pipeline without
      data loss.
    • We have improved the consistency of reconnect behaviour across CDC sources and
      🔧 introduced a uniform API to configure the reconnect strategy.
    • We improved the behavior of streaming pipelines based on ingestion time: a
      low event rate in any partition of the source used to stall the progress,
      now the watermark advances even without events.
    • 🚚 We moved the Pipeline to DAG transformation from the client to the server,
      in preparation for the upcoming feature of preventing event reordering in the

Previous changes from v4.2

    • 👍 We added Change Data Capture (CDC) support for PostgreSQL and MySql. New
      connectors use Debezium to provide a high-level API for processing the
      stream of changes from relational databases. A new map sink can be used to
      🔀 automatically keep the map in-sync with changes from the database.
    • We added new source and sink connectors for Elasticsearch 5, 6 and 7
      🐎 with support for slicing and co-located reading for maximum read performance
      and extended Elasticsearch's client retry mechanism for reliable writing.
    • 👍 We improved JSON support through a new file source which can read JSON files
      📜 directly and also added built-in Jet methods for parsing and mapping JSON strings.
    • We introduced .relabance() operator which can be used for distributing items
      across the cluster.
    • We made some improvements to Jet startup scripts:
      • You can now use the PROMETHEUS_PORT to start Jet with prometheus metrics enabled.
      • You can use the jvm.options file to edit the startup JVM parameters.
      • You can now use the JET_MODULES environment variable to add modules when using docker
        or jet-start script.
    • 📚 We did several rounds of improvements to the documentation:
      • Improvements to Docker and Kubernetes instructions
      • New guidance on Garbage Collector choice and settings
      • New and improved tutorials for CDC
      • New documentation for Python module and early results support in windowing