[ https://issues.apache.org/jira/browse/SPARK-51727?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17945643#comment-17945643 ]
Yang Jie commented on SPARK-51727: ---------------------------------- Should this ticket be turned into an umbrella? > SPIP: Declarative Pipelines > --------------------------- > > Key: SPARK-51727 > URL: https://issues.apache.org/jira/browse/SPARK-51727 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Affects Versions: 4.1.0 > Reporter: Sandy Ryza > Priority: Major > > 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] -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org