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Lakehouse Research Base
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Lakehouse Research Base

Focused on technical sharing in the data field, covering a tech stack that includes Hadoop, Spark, Flink, Kafka, Fluss, Paimon, Iceberg, StarRocks, ClickHouse, ES, Milvus, and more. Welcome to follow.

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Recent Articles

Latest from Lakehouse Research Base

90 recent articles
Lakehouse Research Base
Lakehouse Research Base
Aug 25, 2026 · Big Data

StarRocks on Paimon: Morning Fast, Daytime Slow - Root Cause & Layered Optimization

This article analyzes why identical StarRocks queries on Paimon external tables run fast in early morning but slow dramatically during daytime peaks, identifying five layered root causes from file fragmentation to storage pressure, and provides a systematic troubleshooting methodology plus a four-layer optimization framework covering source governance, compute caching, storage scaling, and business scheduling.

CompactionDelete VectorLakehouse
0 likes · 21 min read
StarRocks on Paimon: Morning Fast, Daytime Slow - Root Cause & Layered Optimization
Lakehouse Research Base
Lakehouse Research Base
Aug 24, 2026 · Big Data

Apache Fluss: Four Merge Engines Explained for Real-Time Analytics

This article systematically analyzes Apache Fluss's four merge engines—Default (LastRow), FirstRow, Versioned, and Aggregation—covering core principles, supported operations, behavior examples, applicable scenarios, and a production selection guide for real-time data warehousing.

Apache FlussFirstRowLastRow
0 likes · 14 min read
Apache Fluss: Four Merge Engines Explained for Real-Time Analytics
Lakehouse Research Base
Lakehouse Research Base
Aug 23, 2026 · Big Data

Apache Fluss Dual-Table Model: LogTable and PrimaryKeyTable Explained

This article details Apache Fluss's dual-table model where LogTable handles high-throughput append-only streaming with columnar storage while PrimaryKeyTable supports real-time updates, partial merges, and CDC changelogs via integrated RocksDB state storage, sharing unified tiering and lakehouse sinking.

Apache FlussCDCLakehouse
0 likes · 19 min read
Apache Fluss Dual-Table Model: LogTable and PrimaryKeyTable Explained
Lakehouse Research Base
Lakehouse Research Base
Aug 22, 2026 · Big Data

Apache Fluss: Dual Engines & Tiered Storage Power Real-Time Lakehouse

This article deep-dives into Apache Fluss architecture, detailing its Master-Worker design, dual LogStore and KvStore engines, tablet-based sharding, tiered hot/cold storage on remote object stores, and Flink-centric client integration, explaining how these components unify streaming and lakehouse workloads.

Apache FlussFlink connectorKvStore
0 likes · 14 min read
Apache Fluss: Dual Engines & Tiered Storage Power Real-Time Lakehouse
Lakehouse Research Base
Lakehouse Research Base
Aug 20, 2026 · Big Data

Big Data Across 10 Industries: Finance, New Energy & AI — Who Reigns as Data King?

This article maps big data applications across ten industries — finance, retail, manufacturing, healthcare, government, transportation, new energy, AI, agriculture, and property — detailing use cases, technical architectures, and measurable value, concluding that AI and new energy form a mutually reinforcing data-driven loop.

Big DataMLOpsReal-time Analytics
0 likes · 32 min read
Big Data Across 10 Industries: Finance, New Energy & AI — Who Reigns as Data King?
Lakehouse Research Base
Lakehouse Research Base
Aug 19, 2026 · Big Data

How 1565PB of High-Quality Datasets Are Reshaping Lakehouse Architecture for AI

China's high-quality dataset count hit 120,000 totaling 1,565 PB with 60% quarterly growth, exposing four systemic gaps in traditional BI-oriented lakehouse architectures — storage, governance, compute performance, and security — and driving an AI-native reference architecture built on Paimon, StarRocks, tiered storage, operator-level lineage, and multi-modal retrieval.

AI training dataApache PaimonStarRocks
0 likes · 43 min read
How 1565PB of High-Quality Datasets Are Reshaping Lakehouse Architecture for AI
Lakehouse Research Base
Lakehouse Research Base
Aug 17, 2026 · Big Data

StarRocks Real-Time Wide Tables: Direct Write vs Paimon Lakehouse Architecture Comparison

This article deeply compares two StarRocks real-time wide table architectures—direct primary key table writes versus Paimon lakehouse external tables—across seven dimensions including query performance, write latency, data reuse, resource isolation, operational complexity, storage cost, and evolution potential, providing banking scenario selection criteria and a recommended Flink+Fluss+Paimon+StarRocks streaming lakehouse architecture.

FlinkLakehousePaimon
0 likes · 21 min read
StarRocks Real-Time Wide Tables: Direct Write vs Paimon Lakehouse Architecture Comparison
Lakehouse Research Base
Lakehouse Research Base
Aug 12, 2026 · Big Data

Apache Fluss Graduates to TLP: Lakestream Unifies Streaming & Lakehouse

Apache Fluss graduates to a top-level project, introducing the Lakestream architecture that unifies real-time streaming and historical lakehouse storage through tiered hot/cold storage, unified metadata, and Union Read, eliminating Lambda architecture complexity and enabling sub-second analytics on a single logical table.

Apache FlussFlinkLakestream
0 likes · 15 min read
Apache Fluss Graduates to TLP: Lakestream Unifies Streaming & Lakehouse
Lakehouse Research Base
Lakehouse Research Base
Jul 14, 2026 · Big Data

Flink + Paimon End-to-End Exactly-Once: Production Implementation Guide

This guide details how to achieve end-to-end exactly-once semantics with Apache Flink and Apache Paimon, covering consistency models, three-layer coordination mechanisms, production-grade configurations, concurrency rules, verification tests, failure injection scenarios, performance trade-offs, and operational SOPs for lakehouse streaming workloads.

Apache FlinkApache PaimonCheckpoint
0 likes · 26 min read
Flink + Paimon End-to-End Exactly-Once: Production Implementation Guide