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      at c238bf6249 docs: date the float value and null count divergence to Iceberg 1.9 (#6681)

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     new c238bf6249 docs: date the float value and null count divergence to Iceberg 1.9 (#6681)

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(datafusion-comet) 01/01: docs: date the float value and null count divergence to Iceberg 1.9 (#6681)

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This is an automated email from the ASF dual-hosted git repository.

github-merge-queue[bot] pushed a commit to branch gh-readonly-queue/main/pr-6681-825dd81389a1bbe0001f8d55bf2b7d884b312968
in repository https://gitbox.apache.org/repos/asf/datafusion-comet.git

commit c238bf6249148644ddd33cd004cf06baff1ca554
Author: Andy Grove <ag...@apache.org>
AuthorDate: Mon Oct 5 16:35:10 2026 +0000

    docs: date the float value and null count divergence to Iceberg 1.9 (#6681)
    
    ParquetMetrics, which takes a float field's value and null counts from
    the writer's FieldMetrics, arrived in Iceberg 1.9.0, so the accepted
    divergence applies from 1.9, not 1.10.
---
 docs/source/user-guide/latest/iceberg-writes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/user-guide/latest/iceberg-writes.md b/docs/source/user-guide/latest/iceberg-writes.md
index 21da79869f..0dd66ff378 100644
--- a/docs/source/user-guide/latest/iceberg-writes.md
+++ b/docs/source/user-guide/latest/iceberg-writes.md
@@ -377,7 +377,7 @@ iceberg-java's _writer-tracked_ state would have recorded, and both are analyzed
   iceberg-java's writer-tracked bounds preserve the exact sign it saw. The native path's
   manifest bounds inherit the normalised values — a strictly conservative widening that cannot
   change pruning decisions.
-- On Iceberg 1.10+, manifest `value_counts` / `null_value_counts` for float/double columns
+- On Iceberg 1.9+, manifest `value_counts` / `null_value_counts` for float/double columns
   nested under a nullable struct count rows whose parent struct is null (they come from the
   parquet footer), while iceberg-java's writer-tracked counts do not. Both counts inflate by
   the same amount, so the derived null ratios and `IS NULL` / `IS NOT NULL` pruning decisions


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