suhuruli commented on code in PR #57149:
URL: https://github.com/apache/spark/pull/57149#discussion_r3768812448


##########
docs/declarative-pipelines-programming-guide.md:
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@@ -517,6 +517,273 @@ AS INSERT INTO customers_us
 SELECT * FROM STREAM(customers_us_east);
 ```
 
+## Change Data Capture (CDC) with Auto CDC
+
+Many source systems emit a stream of *change events* rather than a snapshot of 
the current data: each record describes an insert, update, or delete to a row, 
identified by a key. Applying these events correctly to a target table by hand 
is tricky. You have to match events to existing rows, apply them in the right 
order, and handle out-of-order and duplicate events without corrupting the 
table.
+
+**Auto CDC** does this for you. You point it at a source of change events and 
tell it how to identify and order them, and SDP maintains a target streaming 
table that always reflects the latest state for each key.
+
+### What Auto CDC does
+
+Given an ordered stream of change events, Auto CDC keeps the target table in 
sync with the source:
+
+- **Inserts and updates** - For each key, the event with the highest sequence 
value wins. If no row exists for the key, it's inserted; if one exists, it's 
overwritten with the latest values.
+- **Deletes** - Events that match a delete condition you supply remove the 
corresponding row from the target.
+- **Out-of-order events** - Events don't have to arrive in order. Auto CDC 
uses the sequencing expression to determine the latest state per key, so a 
late-arriving event with a lower sequence value doesn't overwrite newer data.
+
+This behavior implements **Slowly Changing Dimensions (SCD) Type 1**: the 
target keeps only the current version of each row, with no history of prior 
values. SCD Type 1 is the only mode currently supported.
+
+For example, given these change events (ordered by `version`):
+
+| id | name     | version | op     |
+|----|----------|---------|--------|
+| 1  | alice    | 1       | UPSERT |
+| 2  | bob      | 1       | UPSERT |
+| 1  | alice_v2 | 2       | UPSERT |
+| 2  | bob      | 2       | DELETE |
+| 3  | carol    | 1       | UPSERT |

Review Comment:
   Good catch @szehon-ho, and apologies @anew - a readability pass trimmed the 
out-of-order event out of the concept example, which is exactly what you had 
asked to see here. I have restored it, following the edits above:
   
   1. Re-added the trailing `| 1 | alice | 1 | UPSERT |` row.
   2. Restored the lead-in noting the events are not in `version` order (the 
last `id 1` event is a stale re-delivery of version 1 arriving after version 2).
   3. Added the discard clause to the by-key walkthrough: the stale version 1 
event is discarded because a higher sequence value has already been applied.
   
   The target table is unchanged, as you noted - the highest sequence value per 
key still wins. I also replayed this exact six-event batch through the merge 
engine to confirm (`id 1 -> alicia@2`, `id 2` gone, `id 3 -> carol@1`). Pushed 
in the latest revision.



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