In Apache Druid, after ingesting some data and publishing a segment to Deep Storage, it is the Load, Drop rule a Kill process behavior that govern the caching of segments on historicals across multiple tiers. In this session we review the overall process that each segment undergoes and how to control it. We’ll talk about how to deal with hot and cold tiers and provide details on how the coordinator’s algorithm manages overall segments’ life cycle.
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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