本文并非官方文档的简单翻译，而是结合多方信息源和实战经验，对 Spark 3 到 Spark 4 的迁移进行一次系统性梳理。我们将从"必须改"、"容易踩坑"、"值得利用"三个维度，帮助你制定一个清晰的迁移路线图。

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Spark has grown rapidly over the past several years to become a significant tool in the big data world. Since emerging from the AMPLab at the University of California at Berkeley, Spark adoption has ...

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It’s time for the next version of SQL Server, Microsoft’s flagship database product. The company today announced the first public preview of SQL Server 2019 and while yet another update to a ...

Here’s an image for you. There is no such thing as a data lake. The multi-petabyte storage racks nearly overflowing with unstructured and semi-structured data that are being built by hyperscalers, ...

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Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Apache Spark创始人Matei Zaharia荣获美国计算机协会（ACM）年度计算奖，奖金25万美元。他在加州大学伯克利分校攻读博士期间开发了Spark，解决了大数据处理门槛高的问题，支持Python、SQL等多种语言，大幅降低使用难度。他还联合创立了估值1300亿美元的Databricks，并参与开发Delta Lake、MLflow等开源项目，对数据分析与AI领域产生了深远影响。