[SPARK-48177][BUILD] Upgrade Apache Parquet to 1.14.1

dev/deps/spark-deps-hadoop-3-hive-2.3

@@ -108,6 +108,7 @@ jackson-core/2.17.1//jackson-core-2.17.1.jar
 jackson-databind/2.17.1//jackson-databind-2.17.1.jar
 jackson-dataformat-cbor/2.17.1//jackson-dataformat-cbor-2.17.1.jar
 jackson-dataformat-yaml/2.17.1//jackson-dataformat-yaml-2.17.1.jar
+jackson-datatype-jdk8/2.17.0//jackson-datatype-jdk8-2.17.0.jar
 jackson-datatype-jsr310/2.17.1//jackson-datatype-jsr310-2.17.1.jar
 jackson-mapper-asl/1.9.13//jackson-mapper-asl-1.9.13.jar
 jackson-module-scala_2.13/2.17.1//jackson-module-scala_2.13-2.17.1.jar
@@ -235,12 +236,12 @@ orc-shims/2.0.1//orc-shims-2.0.1.jar
 oro/2.0.8//oro-2.0.8.jar
 osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
 paranamer/2.8//paranamer-2.8.jar
-parquet-column/1.13.1//parquet-column-1.13.1.jar
-parquet-common/1.13.1//parquet-common-1.13.1.jar
-parquet-encoding/1.13.1//parquet-encoding-1.13.1.jar
-parquet-format-structures/1.13.1//parquet-format-structures-1.13.1.jar
-parquet-hadoop/1.13.1//parquet-hadoop-1.13.1.jar
-parquet-jackson/1.13.1//parquet-jackson-1.13.1.jar
+parquet-column/1.14.1//parquet-column-1.14.1.jar
+parquet-common/1.14.1//parquet-common-1.14.1.jar
+parquet-encoding/1.14.1//parquet-encoding-1.14.1.jar
+parquet-format-structures/1.14.1//parquet-format-structures-1.14.1.jar
+parquet-hadoop/1.14.1//parquet-hadoop-1.14.1.jar
+parquet-jackson/1.14.1//parquet-jackson-1.14.1.jar
 pickle/1.5//pickle-1.5.jar
 py4j/0.10.9.7//py4j-0.10.9.7.jar
 remotetea-oncrpc/1.1.2//remotetea-oncrpc-1.1.2.jar

pom.xml

@@ -137,7 +137,7 @@
     <kafka.version>3.7.0</kafka.version>
     <!-- After 10.17.1.0, the minimum required version is JDK19 -->
     <derby.version>10.16.1.1</derby.version>
-    <parquet.version>1.13.1</parquet.version>
+    <parquet.version>1.14.1</parquet.version>
     <orc.version>2.0.1</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
     <jetty.version>11.0.21</jetty.version>

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorizedSuite.scala

@@ -502,7 +502,7 @@ class ParquetVectorizedSuite extends QueryTest with ParquetTest with SharedSpark
     val ty = parquetSchema.asGroupType().getType("a").asPrimitiveType()
     val cd = new ColumnDescriptor(Seq("a").toArray, ty, 0, maxDef)
     val repetitionLevels = Array.fill[Int](inputValues.length)(0)
-    val definitionLevels = inputValues.map(v => if (v == null) 0 else 1)
+    val definitionLevels = inputValues.map(v => if (v == null) 0 else maxDef)
 
     val memPageStore = new MemPageStore(expectedValues.length)