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commit c837d00e25033ad19dbb6b36c2406a87d6af9eb0
Author: Andrew Lamb <[email protected]>
AuthorDate: Fri Dec 5 06:04:32 2025 -0500

    tweaks
---
 _posts/2025-12-03-parquet-late-materialization-deep-dive.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/_posts/2025-12-03-parquet-late-materialization-deep-dive.md 
b/_posts/2025-12-03-parquet-late-materialization-deep-dive.md
index 919bd68b033..b7823356cec 100644
--- a/_posts/2025-12-03-parquet-late-materialization-deep-dive.md
+++ b/_posts/2025-12-03-parquet-late-materialization-deep-dive.md
@@ -67,12 +67,12 @@ The code is structured into a few core roles:
 
 `RowSelection` can switch dynamically between RLE and bitmasks. Bitmasks are 
faster when gaps are tiny and sparsity is high; RLE is friendlier to large, 
page-level skips. Details on this trade-off appear in section 3.1.
 
-Consider again the query: `SELECT B, C  FROM table WHERE A > 10 AND B < 5`:
+Consider again the query: `SELECT B, C FROM table WHERE A > 10 AND B < 5`:
 
 1.  **Initial**: `selection = None` (equivalent to "select all").
 2.  **Read A**: `ArrayReader` decodes column A in batches; the predicate 
builds a boolean mask; [`RowSelection::from_filters`] turns it into a sparse 
selection.
 3.  **Tighten**: [`ReadPlanBuilder::with_predicate`] chains the new mask via 
[`RowSelection::and_then`].
-4.  **Read B**: Build column B's reader with the current `selection`; the 
reader only performs I/O and decode for selected rows, producing an even 
sparser mask.
+4.  **Read B**: Build column B's reader with the current `selection`; the 
reader only performs I/O and decoding for selected rows, producing an even 
sparser mask.
 5.  **Merge**: `selection = selection.and_then(selection_b)`; projection 
columns now decode a tiny row set.
 
 [`RowSelection::from_filters`]: 
https://github.com/apache/arrow-rs/blob/bab30ae3d61509aa8c73db33010844d440226af2/parquet/src/arrow/arrow_reader/selection.rs#L149

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