nsivabalan commented on code in PR #6612:
URL: https://github.com/apache/hudi/pull/6612#discussion_r1060262873


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rfc/rfc-58/rfc-58.md:
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+
+# RFC-58: A more effective HoodieMergeHandler for COW table with parquet
+
+## Proposers
+
+*   @loukey-lj
+
+## Approvers
+
+*   @<approver1 github username>
+
+*   @<approver2 github username>
+
+## Status
+
+JIRA: https://issues.apache.org/jira/browse/HUDI-4790
+
+> Please keep the status updated in `rfc/README.md`.
+
+## Abstract
+
+To provide a more effective HoodieMergeHandler for COW table with parquet. 
Hudi rewrite whole parquet file every COW, that costs a lot in De/serialization 
and De/compression.  To decrease this cost, a 'surgery' is introduced, which 
rebuilds a new parquet from an old one,  just copying unchanged rowGroups and 
overwriting changed rowGroups when updating parquet files.
+
+## Background
+
+*   Parquet is a columnar storage format. All data is horizontally divided 
into row groups. A row group contains the column chunks of all columns in the 
interval corresponding to this row group. A column chunk is composed of pages, 
which are compression and coding units. 
+
+*   In current version of Hudi, a complex De/serialization and De/compression 
happens every time upserting long tail data on COW, which causes giant CPU/IO 
cost.
+
+*   The purpose of current RFC aims to decrease costs of De/serialization and 
De/compression in upserting.  Try to think about the reality, if we know which 
row groups need to be updated and even more the columns need to be updated in 
these row groups, we can skip much data's de/serialization and de/compression. 
That brings giant improvement.

Review Comment:
   yeah, SQL merge into uses ExpressionPayload and hence I def see a real 
benefit. but other payloads, its very much impl dependent as I have explained 
above. 
   



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