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in repository https://gitbox.apache.org/repos/asf/datafusion.git


The following commit(s) were added to refs/heads/branch-53 by this push:
     new d24faa0134 [branch-53] chore: Optimize schema rewriter usages (#21158) 
(#21183)
d24faa0134 is described below

commit d24faa0134b75ea3a17fff94c2a271d858ef88e2
Author: Oleks V <[email protected]>
AuthorDate: Thu Mar 26 14:02:12 2026 -0700

    [branch-53] chore: Optimize schema rewriter usages (#21158) (#21183)
    
    ## Which issue does this PR close?
    
    <!--
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    enhancements and this helps us generate change logs for our releases.
    You can link an issue to this PR using the GitHub syntax. For example
    `Closes #123` indicates that this PR will close issue #123. -->
    
    - Closes #.
    
    ## Rationale for this change
    
    The rewriter actually has 3 responsibilities:
    1. Index remapping — column indices in expressions may not match the
    file schema
      2. Type casting — when logical and physical field types differ
    3. Missing column handling — replacing references to absent columns with
    nulls
    
    Do not use cycles for schema rewrite if predicate is not set or logic
    schema equal to physical schema
    
    <!--
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    Explaining clearly why changes are proposed helps reviewers understand
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    ## Are these changes tested?
    
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    ## Which issue does this PR close?
    
    <!--
    We generally require a GitHub issue to be filed for all bug fixes and
    enhancements and this helps us generate change logs for our releases.
    You can link an issue to this PR using the GitHub syntax. For example
    `Closes #123` indicates that this PR will close issue #123.
    -->
    
    - Closes #.
    
    ## Rationale for this change
    
    <!--
    Why are you proposing this change? If this is already explained clearly
    in the issue then this section is not needed.
    Explaining clearly why changes are proposed helps reviewers understand
    your changes and offer better suggestions for fixes.
    -->
    
    ## What changes are included in this PR?
    
    <!--
    There is no need to duplicate the description in the issue here but it
    is sometimes worth providing a summary of the individual changes in this
    PR.
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    ## Are these changes tested?
    
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    1. Prevent the code from being accidentally broken by subsequent changes
    2. Serve as another way to document the expected behavior of the code
    
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    are they covered by existing tests)?
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---
 datafusion/datasource-parquet/src/opener.rs | 32 +++++++++++++++++++----------
 1 file changed, 21 insertions(+), 11 deletions(-)

diff --git a/datafusion/datasource-parquet/src/opener.rs 
b/datafusion/datasource-parquet/src/opener.rs
index 108e8c5752..f657b709fe 100644
--- a/datafusion/datasource-parquet/src/opener.rs
+++ b/datafusion/datasource-parquet/src/opener.rs
@@ -410,17 +410,27 @@ impl FileOpener for ParquetOpener {
             // and we can avoid doing any more work on the file (bloom 
filters, loading the page index, etc.).
             // Additionally, if any casts were inserted we can move casts from 
the column to the literal side:
             // `CAST(col AS INT) = 5` can become `col = CAST(5 AS <col 
type>)`, which can be evaluated statically.
-            let rewriter = expr_adapter_factory.create(
-                Arc::clone(&logical_file_schema),
-                Arc::clone(&physical_file_schema),
-            )?;
-            let simplifier = 
PhysicalExprSimplifier::new(&physical_file_schema);
-            predicate = predicate
-                .map(|p| simplifier.simplify(rewriter.rewrite(p)?))
-                .transpose()?;
-            // Adapt projections to the physical file schema as well
-            projection = projection
-                .try_map_exprs(|p| simplifier.simplify(rewriter.rewrite(p)?))?;
+            //
+            // When the schemas are identical and there is no predicate, the
+            // rewriter is a no-op: column indices already match (partition
+            // columns are appended after file columns in the table schema),
+            // types are the same, and there are no missing columns. Skip the
+            // tree walk entirely in that case.
+            let needs_rewrite =
+                predicate.is_some() || logical_file_schema != 
physical_file_schema;
+            if needs_rewrite {
+                let rewriter = expr_adapter_factory.create(
+                    Arc::clone(&logical_file_schema),
+                    Arc::clone(&physical_file_schema),
+                )?;
+                let simplifier = 
PhysicalExprSimplifier::new(&physical_file_schema);
+                predicate = predicate
+                    .map(|p| simplifier.simplify(rewriter.rewrite(p)?))
+                    .transpose()?;
+                // Adapt projections to the physical file schema as well
+                projection = projection
+                    .try_map_exprs(|p| 
simplifier.simplify(rewriter.rewrite(p)?))?;
+            }
 
             // Build predicates for this specific file
             let (pruning_predicate, page_pruning_predicate) = 
build_pruning_predicates(


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