apache / apache/iceberg-python
Enable stats collection for nested fields and use write.metadata.metrics.max-inferred-column-defaults to control stats growth
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描述
### Feature Request / Improvement
I recently discovered that full stats collection (i.e. `lower_bounds`/`upper_bounds`) is explicitly [disabled](https://github.com/apache/iceberg-python/blob/7acdb12f5239594e593f2822de75c7a4c669f52f/pyiceberg/io/pyarrow.py#L2220-L2223) in PyIceberg for nested (i.e. struct child) fields.
This change was made in [this PR](https://github.com/apache/iceberg/pull/7831) and specifically [this commit](https://github.com/apache/iceberg/pull/7831/commits/6f7bd987e50d4978aeae333d759e34422f7cfb78).
It seems that this change may have been made to limit the number of fields whose stats are collected when default-full stats collection is enabled. However, after discussion it seems that simply adding support for the `write.metadata.metrics.max-inferred-column-defaults` table [property](https://iceberg.apache.org/docs/nightly/configuration/#write-properties) would be the preferred way to control stats growth. If this is implemented, re-enabling stats collection for nested fields should be a non-issue.
Stats collection for nested struct fields is important for schemas like [GeoParquet](https://geoparquet.org/releases/v1.1.0/) which store important primitive fields (in this case, bounding box xmin, ymin, xmax, ymax) using structs.
See also [this slack thread](https://apache-iceberg.slack.com/archives/C029EE6HQ5D/p1762221916113919) for discussion.
贡献指南
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调研方向
从 pyiceberg/io/pyarrow.py 中禁用嵌套字段统计信息的链接行附近开始,然后跟踪 write.metadata.metrics.max-inferred-column-defaults 的处理方式。完成的标准是嵌套 struct 字段可以收集下界和上界,同时表属性控制推断列统计信息的增长;如果在附近找到现有的统计信息相关测试,请使用它们验证这两种行为。
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