fixup

Author: LaurentGoderre

docs/building-spark.md

@@ -83,9 +83,9 @@ Example:
 
 To enable Hive integration for Spark SQL along with its JDBC server and CLI,
 add the `-Phive` and `-Phive-thriftserver` profiles to your existing build options.
-By default Spark will build with Hive 2.3.9.
+By default Spark will build with Hive 2.3.10.
 
-    # With Hive 2.3.9 support
+    # With Hive 2.3.10 support
     ./build/mvn -Pyarn -Phive -Phive-thriftserver -DskipTests clean package
 
 ## Packaging without Hadoop Dependencies for YARN

docs/sql-data-sources-hive-tables.md

@@ -127,10 +127,10 @@ The following options can be used to configure the version of Hive that is used
   <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
   <tr>
     <td><code>spark.sql.hive.metastore.version</code></td>
-    <td><code>2.3.9</code></td>
+    <td><code>2.3.10</code></td>
     <td>
       Version of the Hive metastore. Available
-      options are <code>0.12.0</code> through <code>2.3.9</code> and <code>3.0.0</code> through <code>3.1.3</code>.
+      options are <code>0.12.0</code> through <code>2.3.10</code> and <code>3.0.0</code> through <code>3.1.3</code>.
     </td>
     <td>1.4.0</td>
   </tr>
@@ -142,9 +142,9 @@ The following options can be used to configure the version of Hive that is used
       property can be one of four options:
       <ol>
         <li><code>builtin</code></li>
-        Use Hive 2.3.9, which is bundled with the Spark assembly when <code>-Phive</code> is
+        Use Hive 2.3.10, which is bundled with the Spark assembly when <code>-Phive</code> is
         enabled. When this option is chosen, <code>spark.sql.hive.metastore.version</code> must be
-        either <code>2.3.9</code> or not defined.
+        either <code>2.3.10</code> or not defined.
         <li><code>maven</code></li>
         Use Hive jars of specified version downloaded from Maven repositories. This configuration
         is not generally recommended for production deployments.

docs/sql-migration-guide.md

@@ -1009,7 +1009,7 @@ Python UDF registration is unchanged.
 Spark SQL is designed to be compatible with the Hive Metastore, SerDes and UDFs.
 Currently, Hive SerDes and UDFs are based on built-in Hive,
 and Spark SQL can be connected to different versions of Hive Metastore
-(from 0.12.0 to 2.3.9 and 3.0.0 to 3.1.3. Also see [Interacting with Different Versions of Hive Metastore](sql-data-sources-hive-tables.html#interacting-with-different-versions-of-hive-metastore)).
+(from 0.12.0 to 10 and 3.0.0 to 3.1.3. Also see [Interacting with Different Versions of Hive Metastore](sql-data-sources-hive-tables.html#interacting-with-different-versions-of-hive-metastore)).
 
 #### Deploying in Existing Hive Warehouses
 {:.no_toc}

sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveUtils.scala

@@ -73,7 +73,7 @@ private[spark] object HiveUtils extends Logging {
 
   val HIVE_METASTORE_VERSION = buildStaticConf("spark.sql.hive.metastore.version")
     .doc("Version of the Hive metastore. Available options are " +
-        "<code>0.12.0</code> through <code>2.3.9</code> and " +
+        "<code>0.12.0</code> through <code>2.3.10</code> and " +
         "<code>3.0.0</code> through <code>3.1.3</code>.")
     .version("1.4.0")
     .stringConf

sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala

@@ -1362,7 +1362,7 @@ private[hive] object HiveClientImpl extends Logging {
     val hive = try {
       Hive.getWithoutRegisterFns(hiveConf)
     } catch {
-      // SPARK-37069: not all Hive versions have the above method (e.g., Hive 2.3.9 has it but
+      // SPARK-37069: not all Hive versions have the above method (e.g., Hive 2.3.10 has it but
       // 2.3.8 don't), therefore here we fallback when encountering the exception.
       case _: NoSuchMethodError =>
         Hive.get(hiveConf)

sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveExternalCatalogVersionsSuite.scala

@@ -220,7 +220,7 @@ class HiveExternalCatalogVersionsSuite extends SparkSubmitTestUtils {
         tryDownloadSpark(version, sparkTestingDir.getCanonicalPath)
       }
 
-      // Extract major.minor for testing Spark 3.1.x and 3.0.x with metastore 2.3.9 and Java 11.
+      // Extract major.minor for testing Spark 3.1.x and 3.0.x with metastore 2.3.10 and Java 11.
       val hiveMetastoreVersion = """^\d+\.\d+""".r.findFirstIn(hiveVersion).get
       val args = Seq(
         "--name", "prepare testing tables",