The document provides performance tips for using Druid with a setup involving 15 TB of raw data and a single datasource of 8.5 TB. Key recommendations include not enabling debug logs during performance tests, optimizing query context settings, and utilizing the 'application/x-jackson-smile' content type for better efficiency. The author also notes the effectiveness of groupby version v2 for improved performance.

1. Druid
Beginner Performance
Tips

2. Playground
● Raw data 15 TB
● 1 Datasource
○ 8.5 TB
○ Each segment file 400 MB
○ 23 dimensions - 3 metrics (2sum & 1 hyperUniq)
● Hdfs Deep Storage
● 1 Broker - r3-2x-large

3. Some Tips
● DO-NOT enable Debug Log while running perf tests or in production.
● Set ChunkPeriod in QueryContext
● DO-NOT use pretty while making http request query.
○ curl -X POST "http://broker:8082/druid/v2/?pretty" -H 'content-type:application/json' -d @query
● Groupby version v2 seems to be better.
● Make Druid SMILE :)
○ Use Content-Type ‘application/x-jackson-smile’ while making http

4. Thank you :)
I know this ppt is short!
-Vishnu rao-
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