))
Inside Apache Druid 29.0: Getting up to Speed on Druid’s Performance, Ecosystem, and SQL Compliance with Sergio Ferragut
Manage episode 409177382 series 3512228
Imply Data에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Imply Data 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
On this episode, we explore Apache Druid 29.0, focusing on three specific themes: performance, ecosystem, and SQL compliance. Discover new features such as EARLIEST / LATEST support for numerical columns, system fields ingestion, and enhanced array support like UNNEST and JSON_QUERY_ARRAY. In addition, get the full scoop on community-contributed extensions like Spectator Histogram and DDsketch for efficient quantile calculations and long-tailed distribution support. Learn about what’s new with MSQ, what’s up with PIVOT / UNPIVOT, and so much more!
26 에피소드
공유
