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The following commit(s) were added to refs/heads/asf-site by this push:
     new 5455cc7e13 Publish built docs triggered by 
6751af0291faede7f966b1bd1f826321c8cadcfc
5455cc7e13 is described below

commit 5455cc7e13e0cc278ecdfde0cca6977951a4ab52
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Sat Sep 12 00:41:30 2026 +0000

    Publish built docs triggered by 6751af0291faede7f966b1bd1f826321c8cadcfc
---
 _sources/user-guide/latest/compatibility/scans.md.txt | 4 ++++
 searchindex.js                                        | 2 +-
 user-guide/latest/compatibility/scans.html            | 4 ++++
 3 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/_sources/user-guide/latest/compatibility/scans.md.txt 
b/_sources/user-guide/latest/compatibility/scans.md.txt
index 071b83ba5a..d5ab79b4a9 100644
--- a/_sources/user-guide/latest/compatibility/scans.md.txt
+++ b/_sources/user-guide/latest/compatibility/scans.md.txt
@@ -102,6 +102,10 @@ and `INT32 → DOUBLE` widening that Spark 4.0+ accepts 
unconditionally; `Timest
 is rejected by Spark 3.x but accepted by Spark 4.0+). Comet aims to follow the 
per-version Spark
 behavior.
 
+- **List conversion error paths assume Spark's standard encoding**. Comet 
inserts `list`
+  before the element name when reporting a rejected array element conversion. 
Arrow's schema
+  omits the repeated group name, so paths for legacy LIST encodings or custom 
group names may
+  differ from Spark's Parquet column path.
 - **`ParquetSchemaConvert` errors do not include the file path**. The mismatch 
itself is detected and
   rejected correctly, but the resulting Spark error message reads
   `Encountered error while reading file . Data type mismatches…` (note the 
empty path). Behavior is
diff --git a/searchindex.js b/searchindex.js
index 49a38165c0..2230054172 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"!": [[56, "id1"]], "%": [[54, "id1"]], "&": 
[[44, "id1"]], "*": [[54, "id2"]], "+": [[54, "id3"]], "-": [[54, "id4"]], "/": 
[[54, "id5"]], "1. Format Your Code": [[41, "format-your-code"]], "1. Install 
Comet": [[62, "install-comet"], [72, "install-comet"]], "1. Native Operators 
(nativeExecs map)": [[28, "native-operators-nativeexecs-map"]], "2. Build and 
Verify": [[41, "build-and-verify"]], "2. Clone Iceberg and Apply Diff": [[62, 
"clone-iceberg-and-apply- [...]
\ No newline at end of file
+Search.setIndex({"alltitles": {"!": [[56, "id1"]], "%": [[54, "id1"]], "&": 
[[44, "id1"]], "*": [[54, "id2"]], "+": [[54, "id3"]], "-": [[54, "id4"]], "/": 
[[54, "id5"]], "1. Format Your Code": [[41, "format-your-code"]], "1. Install 
Comet": [[62, "install-comet"], [72, "install-comet"]], "1. Native Operators 
(nativeExecs map)": [[28, "native-operators-nativeexecs-map"]], "2. Build and 
Verify": [[41, "build-and-verify"]], "2. Clone Iceberg and Apply Diff": [[62, 
"clone-iceberg-and-apply- [...]
\ No newline at end of file
diff --git a/user-guide/latest/compatibility/scans.html 
b/user-guide/latest/compatibility/scans.html
index c98e5214de..142ad54be2 100644
--- a/user-guide/latest/compatibility/scans.html
+++ b/user-guide/latest/compatibility/scans.html
@@ -857,6 +857,10 @@ and <code class="docutils literal notranslate"><span 
class="pre">INT32</span> <s
 is rejected by Spark 3.x but accepted by Spark 4.0+). Comet aims to follow the 
per-version Spark
 behavior.</p>
 <ul class="simple">
+<li><p><strong>List conversion error paths assume Spark’s standard 
encoding</strong>. Comet inserts <code class="docutils literal 
notranslate"><span class="pre">list</span></code>
+before the element name when reporting a rejected array element conversion. 
Arrow’s schema
+omits the repeated group name, so paths for legacy LIST encodings or custom 
group names may
+differ from Spark’s Parquet column path.</p></li>
 <li><p><strong><code class="docutils literal notranslate"><span 
class="pre">ParquetSchemaConvert</span></code> errors do not include the file 
path</strong>. The mismatch itself is detected and
 rejected correctly, but the resulting Spark error message reads
 <code class="docutils literal notranslate"><span 
class="pre">Encountered</span> <span class="pre">error</span> <span 
class="pre">while</span> <span class="pre">reading</span> <span 
class="pre">file</span> <span class="pre">.</span> <span 
class="pre">Data</span> <span class="pre">type</span> <span 
class="pre">mismatches…</span></code> (note the empty path). Behavior is


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