Linux Code Review Hub
Linux Code Review Hub
Mar 11, 2024 · Databases

How Didi Built a Next‑Gen Log Storage System with ClickHouse

Didi migrated its massive PB‑scale log data from Elasticsearch to ClickHouse, redesigning storage with separate Log and Trace clusters, optimizing partition and sorting keys, introducing native TCP connectors, and revamping HDFS cold‑hot separation, achieving up to four‑fold query speed gains and 30% lower hardware costs.

ClickHouseFlinkdistributed-systems
0 likes · 15 min read
How Didi Built a Next‑Gen Log Storage System with ClickHouse
dbaplus Community
dbaplus Community
Jan 7, 2020 · Databases

Why ClickHouse Beats Presto for Real‑Time Metrics: A Deep Dive

This article examines the shortcomings of a Storm‑based real‑time metric platform, outlines the requirements for a stable, SQL‑driven, fast engine, and explains why ClickHouse was chosen over Presto, detailing performance benchmarks, architectural advantages, cluster configuration, engine options, best practices, and common operational issues.

ClickHousePerformance TuningPresto
0 likes · 18 min read
Why ClickHouse Beats Presto for Real‑Time Metrics: A Deep Dive