nssalian commented on code in PR #17537:
URL: https://github.com/apache/iceberg/pull/17537#discussion_r3763743252


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site/docs/blog/posts/2026-08-10-variant-in-apache-iceberg.md:
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+---
+date: 2026-08-10
+title: "Semi-Structured Data in Apache Iceberg: Meet the Variant Type"
+slug: variant-in-apache-iceberg
+authors:
+  - nssalian
+categories:
+  - blog
+---
+
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+ - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ - limitations under the License.
+ -->
+
+Semi-structured data, such as JSON-like documents whose fields differ from row 
to row, has always been a poor fit for table formats built around fixed 
schemas. Iceberg v3 adds the Variant type for exactly this data: a single 
column can hold values of arbitrary, evolving shape, stored in a compact binary 
form that engines read and write consistently.
+
+This is the first post in a series on Variant in Apache Iceberg. It covers 
what Variant is, why it exists, and how it fits into an Iceberg table. Later 
posts cover shredding, the technique that stores frequently accessed Variant 
fields as typed, columnar data. Variant is stored in Parquet, Avro, and ORC; 
shredding is currently available only in Parquet.
+
+<!-- more -->
+
+## What is Variant?
+
+Variant is a self-describing type for semi-structured data. A single Variant 
column can hold objects, arrays, and primitive values.
+
+## Why Variant?
+
+Consider event data whose shape changes over time:
+
+```json
+{"timestamp": "2026-01-15T10:30:00Z", "user": 5, "event": "login"}
+{"timestamp": "2026-01-15T11:45:00Z", "user": 5, "event": "purchase", 
"amount": 99.99}
+{"timestamp": "2026-01-15T12:00:00Z", "user": 7, "event": "login", "device": 
"mobile"}
+```
+
+Two traditional approaches handle this, and both have drawbacks:
+
+- **JSON stored as a string.** This is flexible, but reading a single field 
means parsing the whole text. JSON's type system is also thin: a timestamp is 
just a string, and a number's precision is ambiguous.
+- **A rigid, flattened schema.** This is fast to query, but every new field is 
a schema migration, and sparse or one-off fields waste space.
+
+Binary encodings such as BSON store values in binary form, but they still 
repeat every field name (`"timestamp"`, `"user"`, `"event"`) in every row.
+
+Variant is as flexible as JSON but stores data in a compact, typed binary 
form. Values keep their native types: a timestamp stays a timestamp and a 
decimal keeps its precision, instead of collapsing to JSON's strings and 
numbers. Field names are stored once in binary, so there is none of the per-row 
string overhead of JSON or BSON. No schema is declared up front, so documents 
of different shapes coexist in one column and a new field needs no migration.

Review Comment:
   You're right. There's per-row overhead, the name dictionary sits in every 
value's metadata. The only saving is within a value, where a repeated name is 
referenced by id instead of re-inlined. I cut the "stored once" line and the 
BSON bit to simplify.



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