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If a Duck Quacks In the ForestShould You Care?.pdf

上传人: 2*** 编号:139019 2023-06-04 90页 31.94MB

1、Ryan BoydCo-founder MotherDuckryguyrgIf a Duck QuacksIn the Forest,Should You Care?!?#DuckTalk#DuckPost#DuckPointTHIS PRESENTATION IS NOTA complete tutorial on DuckDB THIS PRESENTATION DUCKING ISAn explanation of the industry context in which DuckDB came to lifeA discussion on OSS DuckDB and why its

2、 awesomeA spotlight on the internals of DuckDB and whyA demonstration of DuckDBs capabilitiesA preview of MotherDuck and its architectureLicensed from AdobeIntroduced Computing Licensed from AdobeThe Good Powerful Centralized Compute Shared Access The Bad Bulky Expensive Not Personalized Licensed fr

3、om AdobePopularized Computing Dedicated Personalized Why?DALL-E generated imageCDWDALL-E generated image32 GB RAM10 CoresDALL-E generated imagecreated at:created by:maintained by:Community&FoundationLets Break that DownIn-ProcessRuns inside Python,R,C+.No external dependencies.ApplicationDuckDBParse

4、BindOptimizeExecuteresultsSQLLets Break that DownIn-ProcessRuns inside Python,R,C+.No external dependencies.OLAPFull SQL support-things like window functionsHigh-performance aggregationsSQLite for Analyticscreated at:created by:maintained by:Community&FoundationWHY?!*High Performance Architecture*Si

5、mplified Data Access*OSS Community Flocks Together*Fast-paced innovationHigh Performance ArchitectureComparing Database EnginesRow-based(tuples)ColumnarVector-basedSQLite,PostgreSQL,etcPandas,NumPy,etc.DuckDBComparing Database EnginesRow-based(tuples)SQLite,PostgreSQL,etcOptimized for:*low memory fo

6、otprint*transactional workloadsComparing Database EnginesColumnarPandas,NumPy,etc.Optimized for:*analytic workloads*aggregations*data compression on like dataComparing Database EnginesVector-basedDuckDBOptimized for:*analytic workloads*aggregations*CPU-can do SIMD*CPU-cache localityWhy Vectorized?CP

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本文主要介绍了DuckDB数据库和MotherDuck平台。DuckDB是一种嵌入式、列式、优化化的SQL数据库,适用于分析工作负载,支持向量化的操作,并且没有外部依赖。MotherDuck是一个基于DuckDB的数据库即服务(DBaaS)平台,提供了诸如Git-like协作、远程数据库连接等特性。文章中提到,大部分查询的数据量都小于1TB,而且很多数据存储后很少被访问。DuckDB和MotherDuck的出现,是为了更好地满足现代数据分析和处理的需求。
"DuckDB与传统数据库有何不同?" "母亲鸭如何简化大数据分析?" " DuckDB在处理大规模数据时有哪些优势?"
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