(hive-site) branch asf-site updated: deploy: b440c933c469147a5f869858a8bfe6924178490a

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The following commit(s) were added to refs/heads/asf-site by this push:
     new 6c8d280  deploy: b440c933c469147a5f869858a8bfe6924178490a
6c8d280 is described below

commit 6c8d2809295943bcd567df3740eb60a2b93ae576
Author: zabetak <zabe...@users.noreply.github.com>
AuthorDate: Fri Nov 7 18:09:15 2025 +0000

    deploy: b440c933c469147a5f869858a8bfe6924178490a
---
 docs/latest/language/hive-udfs/index.html | 6 ++++++
 index.json                                | 2 +-
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/docs/latest/language/hive-udfs/index.html 
b/docs/latest/language/hive-udfs/index.html
index 83e0d53..76f0855 100644
--- a/docs/latest/language/hive-udfs/index.html
+++ b/docs/latest/language/hive-udfs/index.html
@@ -1381,6 +1381,12 @@ Last updated: December 12, 2024
 <td><strong>Expected &ldquo;=&rdquo; to follow &ldquo;type&rdquo;</strong></td>
 <td><code>cast(expr as &lt;type>)</code></td>
 <td>Converts the results of the expression expr to &lt;type>. For example, 
cast(&lsquo;1&rsquo; as bigint) will convert the string &lsquo;1&rsquo; to its 
integral representation. A null is returned if the conversion does not succeed. 
If cast(expr as boolean) Hive returns true for a non-empty string.</td>
+<td></td>
+</tr>
+<tr>
+<td><strong>string or datetime</strong></td>
+<td><code>CAST(expr AS &lt;type> FORMAT &lt;pattern>)</code></td>
+<td>Converts the expression to the specified using the provided . The if 
present follows the SQL:2016 standard specification. Currently only conversions 
between datetime and string data types are supported.</td>
 <td><a 
href=https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFCastFormat.java>GenericUDFCastFormat</a></td>
 </tr>
 </tbody>
diff --git a/index.json b/index.json
index f0559e6..acd3d36 100644
--- a/index.json
+++ b/index.json
@@ -1 +1 @@
-[{"categories":null,"contents":"Apache Hive : Write Ordering Overview Write 
ordering controls the physical layout of data within table files. Unlike SORT 
BY which orders data during query execution, write ordering is applied at write 
time and persists in the stored files.\nWrite ordering is supported for Iceberg 
tables and can be specified during table creation.\nHive supports two write 
ordering strategies:\n Type-Native Ordering: Sort by one or more columns in a 
specified order Z-Orderi [...]
\ No newline at end of file
+[{"categories":null,"contents":"Apache Hive : Write Ordering Overview Write 
ordering controls the physical layout of data within table files. Unlike SORT 
BY which orders data during query execution, write ordering is applied at write 
time and persists in the stored files.\nWrite ordering is supported for Iceberg 
tables and can be specified during table creation.\nHive supports two write 
ordering strategies:\n Type-Native Ordering: Sort by one or more columns in a 
specified order Z-Orderi [...]
\ No newline at end of file