Log Migration

Didi Tech

Mar 5, 2024 · Databases

Migrating Didi's Log Retrieval from Elasticsearch to ClickHouse: Architecture, Challenges, and Performance Optimizations

Didi replaced its Elasticsearch‑based log platform with ClickHouse, redesigning architecture into isolated Log and Trace clusters, using hourly‑partitioned MergeTree tables and aggregating views to handle petabyte‑scale writes, diverse low‑latency queries, and high QPS, achieving over 400 nodes, 40 GB/s throughput, 30 % cost savings and four‑fold query latency reduction.