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https://issues.apache.org/jira/browse/SPARK-51727?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18039707#comment-18039707
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Sanford Ryza commented on SPARK-51727:
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[~dongjoon] – added one more that I came across:
https://github.com/apache/spark/pull/53144.
Still doing some followup QA, but no other issues that I'm aware of.
> SPIP: Declarative Pipelines
> ---------------------------
>
> Key: SPARK-51727
> URL: https://issues.apache.org/jira/browse/SPARK-51727
> Project: Spark
> Issue Type: Umbrella
> Components: Spark Core
> Affects Versions: 4.1.0
> Reporter: Sandy Ryza
> Assignee: Sandy Ryza
> Priority: Major
> Labels: releasenotes
> Fix For: 4.1.0
>
>
> The SPIP proposes a new abstraction that combines multiple transformations
> into a single declarative dataflow graph, to simplify the development and
> management of data pipelines.
>
> The approach extends Spark's lazy, declarative execution model beyond single
> queries, to pipelines that keep multiple datasets up to date. This reduces
> cognitive overhead and the need for manual orchestration of dependencies.
>
> Declarative pipelines can include both batch and streaming computations,
> leveraging Spark Streaming for stream processing and new materialized view
> syntax for batch processing.
>
> SPIP doc:
> [https://docs.google.com/document/d/1PsSTngFuRVEOvUGzp_25CQL1yfzFHFr02XdMfQ7jOM4/edit?tab=t.0]
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