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Partial Update

8 articles · Page 1 of 1
Lakehouse Research Base
Lakehouse Research Base
Oct 27, 2026 · Databases

Unified Lakehouse Retrieval: One SQL for Hybrid Keyword, Filter, and Vector Search

The article explains how Alibaba Cloud EMR Serverless StarRocks converges full-text, scalar, and vector search into a single engine using RRF for score fusion, In-Filter for predicate pushdown into vector search, and Partial Update for column-level annotation writes, reducing data movement and operational complexity.

Hybrid SearchIn-FilterLakehouse
0 likes · 11 min read
Unified Lakehouse Retrieval: One SQL for Hybrid Keyword, Filter, and Vector Search
Lakehouse Research Base
Lakehouse Research Base
Oct 13, 2026 · Big Data

Taobao's Real-Time Lakehouse: Breaking the Impossible Triangle with Apache Fluss

This article details how Taobao's instant retail team replaced their Kafka-Flink-Paimon stack with Apache Fluss to achieve second-level real-time decisions, using Delta Join for stateless dual-stream joins, Partial Update for decoupled wide-table writes, and Auto-Tiering to eliminate sync jobs, while contrasting Ele.me's Paimon+StarRocks evolutionary path.

Apache FlussApache PaimonAuto-Tiering
0 likes · 19 min read
Taobao's Real-Time Lakehouse: Breaking the Impossible Triangle with Apache Fluss
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
Jun 23, 2026 · Backend Development

Stop Writing Manual if‑else: Master Spring Boot Partial Updates with @JsonMerge

This article explains how to avoid null‑overwrites during partial updates in Spring Boot by using Jackson's @JsonMerge annotation, demonstrates handling of nested objects and null values with @JsonSetter, and shows how to create a custom @JsonMergePatch argument resolver for clean controller code.

@JsonMergeArgument ResolverJackson
0 likes · 9 min read
Stop Writing Manual if‑else: Master Spring Boot Partial Updates with @JsonMerge
High Availability Architecture
High Availability Architecture
Sep 10, 2025 · Big Data

How Ctrip Business Travel Built a Near‑Real‑Time Lakehouse with Flink CDC & Paimon

This article details Ctrip Business Travel’s implementation of a near‑real‑time data warehouse using Flink CDC and the Paimon lakehouse engine, covering order wide‑table construction, ticket refund alerts, ad attribution, batch‑stream integration, and practical lessons on Partial Update, Aggregation, and Tag‑based incremental processing.

Batch-Stream IntegrationFlinkLakehouse
0 likes · 17 min read
How Ctrip Business Travel Built a Near‑Real‑Time Lakehouse with Flink CDC & Paimon
Ctrip Technology
Ctrip Technology
Sep 2, 2025 · Big Data

How Ctrip Built a Near‑Real‑Time Lakehouse with Flink & Paimon

This article details Ctrip Business Travel’s implementation of a near‑real‑time data warehouse and lakehouse using Flink CDC and Apache Paimon, covering order wide‑table construction, automated ticket reminders, ad attribution, batch‑stream integration, and lessons on Partial Update, Aggregation, and Tag‑based incremental processing.

Batch-Stream IntegrationFlinkLakehouse
0 likes · 17 min read
How Ctrip Built a Near‑Real‑Time Lakehouse with Flink & Paimon
StarRocks
StarRocks
Dec 12, 2023 · Databases

How StarRocks Enables Real-Time Updates in Analytical Databases

The article explains why analytical databases struggle with real‑time data changes due to columnar storage, complex indexes and distributed processing, and then details StarRocks' primary‑key model, adaptive update mode, bitmap indexes, row/column partial updates, and practical SQL upsert techniques to achieve low‑latency updates without sacrificing query performance.

Partial UpdateReal-Time UpdateSQL
0 likes · 15 min read
How StarRocks Enables Real-Time Updates in Analytical Databases
Big Data Technology Architecture
Big Data Technology Architecture
Nov 29, 2023 · Big Data

Building Real-Time Wide Tables with Partial-Update Using Apache Paimon for NetEase News Recommendation

The article describes how NetEase News' recommendation team replaced a slow, batch‑oriented data‑warehouse pipeline with a Flink‑based, Apache Paimon real‑time wide‑table solution that supports partial updates, reduces latency from hours to minutes, and lowers processing costs while handling both deduplication and non‑deduplication recommendation scenarios.

Apache PaimonFlinkPartial Update
0 likes · 8 min read
Building Real-Time Wide Tables with Partial-Update Using Apache Paimon for NetEase News Recommendation