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三角洲湖流媒体的搭便车指南.pdf

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1、The Hitchhikers Guide to Delta Lake Streaming Tristen WentlingSr.Solutions ArchitectDelta OSS Contributor2023Scott HainesDistinguished Software EngineerSpark/Delta OSS Contributorhttps:/bit.ly/dais2023_hgdlsIntroductionsScott HainesApache Spark journey began in 2016Delta Lake journey began in 2019No

2、minated to the Databricks BeaconsPublished First Big Book on Apache Spark in 2022.Working on First Big Book on Delta LakeLove Learning,Teaching,and MentorshipSpends his days working at one of the worlds largest apparel and shoe companies Enjoys Growing,Making,and Consuming Hot Sauce Loves his kick-a

3、ss wife and two dogsIntroductionsTristen WentlingApache Spark Journey began in 2017 Published blogs on streaming with Spark Working on First Big Book on Delta Lake Reformed Data Scientist Currently works at helping customers create solutions in the retail industry Spends too much time online gaming

4、Somewhat obsessed with palms and other tropical treesPreparing for our JourneyWhat we will probably get through today Part 1:A Gentle Introduction to Stream Processing with Delta Lake Part 2:The Hitchhikers Guide to Delta Lake Streaming Part 3:And One More Thinghttps:/bit.ly/hitchhikers-guide-to-dls

5、https:/bit.ly/dldgv2“Slide Deck Budget Cuts Begin Now!”1_DAIS_Title_SlidePart 1:Delta Lake Streaming 101First Steps:Delta LakeWhat is the Difference between Batch and Stream Processing?Batch processing can be considered as taking the incremental workloads and handling them in larger groups.The bound

6、aries are mostly semantic and the methods differ primarily in terms of latency.First Steps:Delta LakeWhat is the Difference between Batch and Stream Processing?Batch-Periodic processesScheduled(every day/week/month/)expecting some finite set of data;(mon for ETL where files arrive on a scheduled int

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本文主要介绍了Delta Lake Streaming的相关概念和应用,由Scott Haines和Tristen Wentling撰写,于2023日发布。文章首先解释了批处理和流处理之间的区别,强调了在设计Delta Lake应用程序时需要考虑的 streaming mindset。接着,文章深入探讨了如何使用Delta Lake进行流处理,包括如何设置触发器、速率限制以及如何处理 schema evolution等问题。文章还提到了Delta Lake表的元数据,以及如何通过观察microbatch统计来监控应用行为。最后,文章讨论了优化Delta Lake Streaming Tables的策略,以及如何在生产环境中有效地使用Vacuum、Drop和Delete命令。
如何高效处理流数据?" 如何评估表格增长速度和优化策略?" 如何在快速处理中避免数据污染?"
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