nastra opened a new issue, #13153:
URL: https://github.com/apache/iceberg/issues/13153
### Proposed Change
## Motivation
Column statistics are currently stored as a mapping of field id to values
across multiple columns (lower/upper bounds, value/nan/null counts, sizes).
This storage model has critical limitations as the number of columns increases
and as new types are being added to Iceberg:
Inefficient Storage due to map-based structure:
* Large memory overhead during planning/processing
* Inability to project specific stats (e.g., only null_value_counts for
column X)
* Type Erasure: Original logical/physical types are lost when stored as
binary blobs, causing:
* Lossy type inference during reads
* Schema evolution challenges (e.g., widening types)
* Rigid Schema: Stats are tied to the data_file entry record, limiting
extensibility for new stats.
## Goals
Improve the column stats representation to allow for the following:
* Projectability: Enable independent access to specific stats (e.g.,
lower_bounds without loading upper_bounds).
* Type Preservation: Store original data types to support accurate reads and
schema evolution.
* Flexible/Extensible Representation: Allow per-field stats structures
(e.g., complex types like Geo/Variant).
## Non-Goals
The following issues are out-of-scope or impractical to address
* Supporting unlimited stats for tables with extreme column counts
* Addressing Parquet column amplification in manifest files
### Proposal document
https://s.apache.org/iceberg-column-stats
### Specifications
- [x] Table
- [ ] View
- [x] REST
- [ ] Puffin
- [ ] Encryption
- [ ] Other
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