Compaction in the Druid database has been evolving into use cases beyond improving query performance and reducing storage. This talk will first go over what is compaction, current use cases for compaction, a beginner’s guide on setting up compaction (and automatic compaction), and common pitfalls when setting up auto-compaction. The talk will then drive into short and long term plans for compaction in Druid. Future features include creating derived datasources / materialized views and automatically changing or maintaining different schemas for the same datasource based on the age of data.
Druid Summit 2024 – Panel: Real-Time Data Experiences
Analytics applications powered by Apache Druid are fun places to be. Take a seat as user experience leaders from Google, the Data Visualisation Society, and Imply bring their minds together, and answer your...
Watch nowDruid Summit 2024 – Panel: Lakehouse Analytics
Apache Iceberg and Delta Lake are coming into the big top, and Apache Druid is ready! Get ready to hear from Apache Druid PMC members and industry experts on just where Apache Druid fits, how it can be used,...
Watch nowDruid Summit 2024 – Panel: Operations and Optimization
Come along and meet people who have implemented and tuned Druid in situations small and large – very very large! Panelists will share some of their key tips and tricks, and be open to your questions, whether...
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