知鸦日报2021-07-04

2021-07-03 16:30:00 ~ 2021-07-04 16:30:00

技术

vimeo技术:Debezium event flattening with SQL in Snowflake

摘要

Learn how we replicate MySQL tables in our Snowflake data warehouse.

pinterest技术:Improving data processing efficiency using partial deserialization of Thrift

摘要

At Pinterest we’ve worked to greatly improve data processing efficiency. One quote that resonates with our unique approach is from writer Antoine de Saint-Exupéry: “Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.”

Ultimately, we process petabytes of Thrift encoded data at Pinterest. Most jobs that access this data need only a part of it. To meet our unique needs, we devised a way to efficiently deserialize only the desired subsets of Thrift structures in each job. Our solution enabled us to significantly decrease our data processing resource usage: about 20% reduction in vcore usage, 27% reduction in memory usage, and 36% reduction in intermediate data (mapper output).

grab技术:Debugging High Latency Due to Context Leaks

摘要

Learn how the Marketplace Tech Family debugged and resolved Market-Store's high latency issues.

airbnb技术:A Deep Dive into Airbnb’s Server-Driven UI System

摘要

How Airbnb ships features faster across web, iOS, and Android using a server-driven UI system named Ghost Platform ?.


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