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33.0.0 GitHub Release Notes Summary

Key Features

1. Turbo Segment Loading:

  • Coordinator Dynamic Config now supports turboLoadingNodes, speeding up segment loads on Historicals
  • Trades loading speed for some query performance if overused

2. Overlord Compaction APIs (Experimental):

  • Enhanced support to manage compaction statuses and configs via new endpoints
  • Works even if compaction supervisors are disabled

3. Scheduled Batch Ingestion (Experimental):

  • Supports cron-based scheduling using either Unix or Quartz syntax
  • Allows automated REPLACE queries for batch ingestion using MSQ engine

4. Improved S3 Uploads:

  • Uses AWS S3 Transfer Manager by default, reducing upload time
  • Configurable via druid.storage.transfer.* settings

5. Web Console Enhancements:

  • Syntax highlighting for MERGE INTO
  • Timezone support in Explore view
  • Markdown export for results
  • Multi-select filters and status suggestions added

Improvements

1. Querying:

  • GROUP BY and ORDER BY now handle NULL values properly
  • Performance boost for large argument functions (e.g., complex CASE statements)
  • /results API can prompt browser downloads using the filename query parameter

2. Ingestion:

  • skipRestartIfUnmodified=true to prevent unnecessary supervisor restarts
  • Streaming ingestion now fetches active tasks from memory, reducing metadata store queries

3. Cluster and Data Management:

  • Compaction Supervisors: Replaces older runtime props with new config-based approach
  • Segment Metadata Caching: Improves performance via druid.manager.segments.useCache
  • Kill Task Interval: Now defaults to a max of 30 days per task for performance

4. Metrics & Monitoring:

  • Kafka & Kinesis Lag Metrics: Track ingestion delay in milliseconds
  • Custom Prometheus Histogram Buckets now configurable
  • New metrics for segment cache transactions and ingestion throughput (bytes processed)

5. Kubernetes Support:

  • Namespace isolation for pods
  • Lazy loading of pod templates
  • Larger payloads supported with HDFS storage
  • Task pod name customization available

Bug Fixes and Deprecations

  • Metadata Queries now return maxIngestedEventTime for improved real-time visibility
  • Improved query distribution when using druid.broker.balancer.type=connectionCount
  • Deprecated Config Cleanup: Several outdated properties have been officially removed
  • Docker now registers services by canonical hostname by default in Kubernetes

For detailed information, refer to the full release notes.

Download Apache Druid 33.0.0

Download the latest stable version of Apache Druid from official sources:

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Installation

If you are new to Apache Druid

Before beginning, make sure your system requirements for the installation are met:

  • Linux, Mac OS X, or other Unix-like OS. (Windows is not supported)
  • Java 8u92+, 11, or 17
  • Python 3 (preferred) or Python 2

You will need a workstation or virtual server with 6 GiB of RAM.

Proceed with Apache Druid installation option that fits your needs.

If you would like to upgrade to 33.0.0 Apache Druid

Review the upgrade notes and incompatible changes on GitHub before you start your Druid upgrade. 

Community

Connect and engage with the Druid community across various channels to stay informed, seek assistance, and connect with users, committers, and enthusiasts:

Deep.BI's Contributions on GitHubFollow Deep.BI on LinkedIn
Slack: https://druid.apache.org/community/join-slack.
GitHub: use apache/druid to follow Druid development, report issues, or contribute pull requests.
Development mailing list: dev@druid.apache.org for discussion about project development.
‍User mailing list: druid-user@googlegroups.com for general discussion, questions, and announcements.
LinkedIn: https://www.linkedin.com/groups/8791983/ to connect with other Apache Druid professionals.
[LINK]: Deep.BI’s contributions on GitHub          [LINK] Deep.BI LinkedIn

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License

The Apache License Version 2.0 is an open-source license that grants users a perpetual, worldwide, non-exclusive, no-charge, royalty-free, and irrevocable copyright license to reproduce, modify, distribute, and sublicense the work and its derivatives.

28.0 Release Notes Summary

Key Features:

1. Enhanced SQL Compliance:

  • Improved SQL engine for analytics.
  • Graduated async queries, deep storage querying, and UNNEST to GA.
  • Added UNION ALL support in multi-stage query engine (MSQ).

2. Ingestion System Enhancements:

  • Default nested column ingestion for stability.
  • Multi-topic Kafka ingestion with regex matching.

3. Experimental Features:

  • Introduced window functions in SQL.
  • Experimental support for concurrent append and replace.

Improvements:

1. Async Query and Deep Storage:

  • MSQ engine fetches real-time data for improved query results.
  • Added Azure BLOB storage support for fault-tolerant storage.

2. Array and UNNEST Enhancements:

  • SQL-based ingestion supports true arrays.
  • General availability of SQL UNNEST for flexible reporting.

3. Performance Optimizations:

  • Improved segment file handling for better query performance.

4. ANSI SQL Support Upgrade:

  • Upgrade to Calcite 1.35 for improved query planning.
  • Enabled NULL support and ANSI SQL standard behaviors.

Bug Fixes:

  1. Various bug fixes in query planning and correctness.
  2. Addressed issues with compaction tasks and late arrival data.

For detailed information, refer to the full release notes.

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