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https://issues.apache.org/jira/browse/SPARK-56927?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-56927:
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Labels: pull-request-available (was: )
> Implement SCD1 Batch Processor; Merge Microbatch onto Target
> ------------------------------------------------------------
>
> Key: SPARK-56927
> URL: https://issues.apache.org/jira/browse/SPARK-56927
> Project: Spark
> Issue Type: Sub-task
> Components: Declarative Pipelines
> Affects Versions: 4.2.0, 4.3.0
> Reporter: Anish Mahto
> Priority: Major
> Labels: pull-request-available
>
> {*}Preamble{*}:
> The SCD type 1 flow is a foreachBatch streaming query on an input
> change-data-feed, and is responsible for reconciling the incoming change data
> onto some target table that follows SCD1 replication semantics.
> SCD1 flows also maintain an "auxiliary" table to keep track of early-arriving
> out-of-order received events state. Each microbatch will need to reconcile
> against this auxiliary table as well, and update the auxiliary table's state
> appropriately for future microbatches.
>
> {*}Merge Microbatch onto Target{*}:
> The final part of an SCD1 reconciliation - merge the reconciled dataframe
> (deduplicated, target columns and operational metadata projected, and
> tombstone applied) onto the target table.
> The target table's contents represent the SCD1 transformation of the change
> data feed, for the specified target column selection in the `ChangeArgs`.
> Merging onto the target under SCD1 semantics means deleting existing rows
> that match against the reconciled microbatch's delete events, and inserting
> or updating rows as appropriate for the reconciled microbatch's upsert events.
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