Master Flink Optimizations: TTL, Mini‑Batch, Two‑Phase Aggregation, Lookup Join & More

This article reviews the most effective Flink optimization techniques since 2022, including operator‑level TTL, mini‑batch processing, two‑phase aggregation, multi‑dimensional DISTINCT with FILTER, lookup join caching strategies, and TopN implementations, each rated with recommendation stars for production use.

Big DataFlinkLookup Join

0 likes · 8 min read

Master Flink Optimizations: TTL, Mini‑Batch, Two‑Phase Aggregation, Lookup Join & More

Youzan Coder

Jul 7, 2022 · Big Data

Optimizing Apache Doris Performance: A Case Study in Query Processing

Youzan replaced ClickHouse and Druid with Apache Doris, refined its vectorized engine by eliminating deserialization overhead in the merge‑aggregation phase, achieving roughly a 30 % query‑time boost, and validated compatibility through SQL rewriting and traffic replay, while planning further SIMD‑based optimizations and broader adoption.

Apache DorisClickHouseDruid

0 likes · 8 min read

Optimizing Apache Doris Performance: A Case Study in Query Processing