diff --git a/pom.xml b/pom.xml
index 95a70fbf91cb8..fa7fdb995b0a1 100644
--- a/pom.xml
+++ b/pom.xml
@@ -140,7 +140,7 @@
     <kafka.version>3.6.1</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>1.14.0-SNAPSHOT</parquet.version>
     <orc.version>1.9.2</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
     <jetty.version>9.4.53.v20231009</jetty.version>
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
index 6d00048154a56..1e39418b4838b 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
@@ -27,6 +27,7 @@
 import java.util.Map;
 import java.util.Set;
 
+import org.apache.parquet.io.InputFile;
 import scala.Option;
 
 import com.google.common.annotations.VisibleForTesting;
@@ -100,13 +101,17 @@ public void initialize(
     FileSplit split = (FileSplit) inputSplit;
     this.file = split.getPath();
     ParquetFileReader fileReader;
+    ParquetReadOptions options = HadoopReadOptions
+        .builder(configuration, file)
+        .withRange(split.getStart(), split.getStart() + split.getLength())
+        .build();
     if (fileFooter.isDefined()) {
-      fileReader = new ParquetFileReader(configuration, file, fileFooter.get());
+      InputFile inputFile = fileFooter.get().getInputFile();
+      if (inputFile == null) {
+        inputFile = HadoopInputFile.fromPath(file, configuration);
+      }
+      fileReader = new ParquetFileReader(inputFile, options, fileFooter.get());
     } else {
-      ParquetReadOptions options = HadoopReadOptions
-          .builder(configuration, file)
-          .withRange(split.getStart(), split.getStart() + split.getLength())
-          .build();
       fileReader = new ParquetFileReader(
           HadoopInputFile.fromPath(file, configuration), options);
     }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
index df367766501d4..676db5948ef2d 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
@@ -214,6 +214,10 @@ class ParquetFileFormat
       } else {
         ParquetFooterReader.readFooter(sharedConf, file, ParquetFooterReader.SKIP_ROW_GROUPS)
       }
+      val parquetSplit =
+        new ParquetInputSplit(filePath, file.start, file.start + file.length, file.length,
+          Array.empty[String], null)
+      parquetSplit.setFooter(fileFooter)
 
       val footerFileMetaData = fileFooter.getFileMetaData
       val datetimeRebaseSpec = DataSourceUtils.datetimeRebaseSpec(
@@ -322,7 +326,7 @@ class ParquetFileFormat
             requiredSchema)
         val iter = new RecordReaderIterator[InternalRow](readerWithRowIndexes)
         try {
-          readerWithRowIndexes.initialize(split, hadoopAttemptContext)
+          readerWithRowIndexes.initialize(parquetSplit, hadoopAttemptContext)
 
           val fullSchema = toAttributes(requiredSchema) ++ toAttributes(partitionSchema)
           val unsafeProjection = GenerateUnsafeProjection.generate(fullSchema, fullSchema)