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new 8a7bdafc08 Publish built docs triggered by
c76dd73affdee9adaeb498a05991b4138434b2c5
8a7bdafc08 is described below
commit 8a7bdafc085a1e6d09ed8a199a6883688d198487
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Wed Jul 8 19:23:42 2026 +0000
Publish built docs triggered by c76dd73affdee9adaeb498a05991b4138434b2c5
---
_sources/user-guide/latest/compatibility/scans.md.txt | 11 ++++++++++-
searchindex.js | 2 +-
user-guide/latest/compatibility/scans.html | 11 ++++++++++-
3 files changed, 21 insertions(+), 3 deletions(-)
diff --git a/_sources/user-guide/latest/compatibility/scans.md.txt
b/_sources/user-guide/latest/compatibility/scans.md.txt
index 184ae9f06b..aa2be5b3ce 100644
--- a/_sources/user-guide/latest/compatibility/scans.md.txt
+++ b/_sources/user-guide/latest/compatibility/scans.md.txt
@@ -63,7 +63,16 @@ The following limitations raise an error at scan time rather
than falling back t
Arrow, whose string type is strictly UTF-8. Reading a Parquet file whose
`STRING` column contains
non-UTF-8 bytes fails with `Parquet error: encountered non UTF-8 data`.
Disable Comet for the
query, or cast the column to `BINARY` before persisting, if you need to
preserve non-UTF-8 bytes.
- See [#4121](https://github.com/apache/datafusion-comet/issues/4121).
+ Separately, non-UTF-8 bytes that reach native execution from a JVM-side
columnar source are not
+ currently validated at the Arrow FFI import boundary. See
[#4121](https://github.com/apache/datafusion-comet/issues/4121)
+ and the tracking issue
[#4764](https://github.com/apache/datafusion-comet/issues/4764).
+- Reading `TimestampLTZ` as `TimestampNTZ` on Spark 3.x. Spark raises an error
per
+ [SPARK-36182](https://issues.apache.org/jira/browse/SPARK-36182) because LTZ
encodes UTC-adjusted
+ instants that cannot be safely reinterpreted as timezone-free values, and
Comet matches this by
+ rejecting the read. This applies to all LTZ physical encodings (INT96,
TIMESTAMP_MICROS,
+ TIMESTAMP_MILLIS). On Spark 4.0+, this read is permitted
+ ([SPARK-47447](https://issues.apache.org/jira/browse/SPARK-47447)) and Comet
matches Spark's
+ behavior. See
[#4219](https://github.com/apache/datafusion-comet/issues/4219).
### Schema Mismatch Handling
diff --git a/searchindex.js b/searchindex.js
index 28f0ea6182..d42fd86ca7 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"!": [[51, "id1"]], "%": [[49, "id1"]], "&":
[[39, "id1"]], "*": [[49, "id2"]], "+": [[49, "id3"]], "-": [[49, "id4"]], "/":
[[49, "id5"]], "1. Format Your Code": [[36, "format-your-code"]], "1. Install
Comet": [[57, "install-comet"], [66, "install-comet"]], "1. Native Operators
(nativeExecs map)": [[25, "native-operators-nativeexecs-map"]], "2. Build and
Verify": [[36, "build-and-verify"]], "2. Clone Iceberg and Apply Diff": [[57,
"clone-iceberg-and-apply- [...]
\ No newline at end of file
+Search.setIndex({"alltitles": {"!": [[51, "id1"]], "%": [[49, "id1"]], "&":
[[39, "id1"]], "*": [[49, "id2"]], "+": [[49, "id3"]], "-": [[49, "id4"]], "/":
[[49, "id5"]], "1. Format Your Code": [[36, "format-your-code"]], "1. Install
Comet": [[57, "install-comet"], [66, "install-comet"]], "1. Native Operators
(nativeExecs map)": [[25, "native-operators-nativeexecs-map"]], "2. Build and
Verify": [[36, "build-and-verify"]], "2. Clone Iceberg and Apply Diff": [[57,
"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 bdf5a5a874..d76f13ffbb 100644
--- a/user-guide/latest/compatibility/scans.html
+++ b/user-guide/latest/compatibility/scans.html
@@ -783,7 +783,16 @@ column (for example from <code class="docutils literal
notranslate"><span class=
Arrow, whose string type is strictly UTF-8. Reading a Parquet file whose <code
class="docutils literal notranslate"><span class="pre">STRING</span></code>
column contains
non-UTF-8 bytes fails with <code class="docutils literal notranslate"><span
class="pre">Parquet</span> <span class="pre">error:</span> <span
class="pre">encountered</span> <span class="pre">non</span> <span
class="pre">UTF-8</span> <span class="pre">data</span></code>. Disable Comet
for the
query, or cast the column to <code class="docutils literal notranslate"><span
class="pre">BINARY</span></code> before persisting, if you need to preserve
non-UTF-8 bytes.
-See <a class="reference external"
href="https://github.com/apache/datafusion-comet/issues/4121";>#4121</a>.</p></li>
+Separately, non-UTF-8 bytes that reach native execution from a JVM-side
columnar source are not
+currently validated at the Arrow FFI import boundary. See <a class="reference
external"
href="https://github.com/apache/datafusion-comet/issues/4121";>#4121</a>
+and the tracking issue <a class="reference external"
href="https://github.com/apache/datafusion-comet/issues/4764";>#4764</a>.</p></li>
+<li><p>Reading <code class="docutils literal notranslate"><span
class="pre">TimestampLTZ</span></code> as <code class="docutils literal
notranslate"><span class="pre">TimestampNTZ</span></code> on Spark 3.x. Spark
raises an error per
+<a class="reference external"
href="https://issues.apache.org/jira/browse/SPARK-36182";>SPARK-36182</a>
because LTZ encodes UTC-adjusted
+instants that cannot be safely reinterpreted as timezone-free values, and
Comet matches this by
+rejecting the read. This applies to all LTZ physical encodings (INT96,
TIMESTAMP_MICROS,
+TIMESTAMP_MILLIS). On Spark 4.0+, this read is permitted
+(<a class="reference external"
href="https://issues.apache.org/jira/browse/SPARK-47447";>SPARK-47447</a>) and
Comet matches Spark’s
+behavior. See <a class="reference external"
href="https://github.com/apache/datafusion-comet/issues/4219";>#4219</a>.</p></li>
</ul>
<section id="schema-mismatch-handling">
<h3>Schema Mismatch Handling<a class="headerlink"
href="#schema-mismatch-handling" title="Link to this heading">#</a></h3>
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