flyrain commented on code in PR #10831:
URL: https://github.com/apache/iceberg/pull/10831#discussion_r1699257350


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format/variant-shredding-spec.md:
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+---
+title: "View Spec"
+---
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+ - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ -->
+
+# Shredding Overview
+
+The Spark Variant type is designed to store and process semi-structured data 
efficiently, even with heterogeneous values. Query engines encode each variant 
value in a self-describing format, and store it as a group containing **value** 
and **metadata** binary fields in Parquet. Since data is often partially 
homogenous, it can be beneficial to extract certain fields into separate 
Parquet columns to further improve performance. We refer to this process as 
"shredding". Each Parquet file remains fully self-describing, with no 
additional metadata required to read or fully reconstruct the Variant data from 
the file. Combining shredding with a binary residual provides the flexibility 
to represent complex, evolving data with an unbounded number of unique fields 
while limiting the size of file schemas, and retaining the performance benefits 
of a columnar format.

Review Comment:
   I guess we will not call it "Spark Variant" anymore.



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