diff --git a/spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/SparkTableUtil.java b/spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/SparkTableUtil.java
index b2dbac381e73..401787d1a9a2 100644
--- a/spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/SparkTableUtil.java
+++ b/spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/SparkTableUtil.java
@@ -29,7 +29,6 @@
 import java.util.stream.Collectors;
 import org.apache.hadoop.conf.Configuration;
 import org.apache.hadoop.fs.Path;
-import org.apache.hadoop.fs.PathFilter;
 import org.apache.iceberg.AppendFiles;
 import org.apache.iceberg.DataFile;
 import org.apache.iceberg.FileFormat;
@@ -86,8 +85,6 @@
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan;
 import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation;
 import org.apache.spark.sql.util.CaseInsensitiveStringMap;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
 import scala.Function2;
 import scala.Option;
 import scala.Some;
@@ -106,14 +103,7 @@
  */
 public class SparkTableUtil {
 
-  private static final Logger LOG = LoggerFactory.getLogger(SparkTableUtil.class);
-
-  private static final Joiner.MapJoiner MAP_JOINER = Joiner.on(",").withKeyValueSeparator("=");
-
-  private static final PathFilter HIDDEN_PATH_FILTER =
-      p -> !p.getName().startsWith("_") && !p.getName().startsWith(".");
-
-  private static final String duplicateFileMessage = "Cannot complete import because data files " +
+  private static final String DUPLICATE_FILE_MESSAGE = "Cannot complete import because data files " +
       "to be imported already exist within the target table: %s.  " +
       "This is disabled by default as Iceberg is not designed for mulitple references to the same file" +
       " within the same table.  If you are sure, you may set 'check_duplicate_files' to false to force the import.";
@@ -479,7 +469,7 @@ private static void importUnpartitionedSparkTable(SparkSession spark, TableIdent
         Dataset<String> duplicates = importedFiles.join(existingFiles, joinCond)
             .select("file_path").as(Encoders.STRING());
         Preconditions.checkState(duplicates.isEmpty(),
-            String.format(duplicateFileMessage, Joiner.on(",").join((String[]) duplicates.take(10))));
+            String.format(DUPLICATE_FILE_MESSAGE, Joiner.on(",").join((String[]) duplicates.take(10))));
       }
 
       AppendFiles append = targetTable.newAppend();
@@ -535,7 +525,7 @@ public static void importSparkPartitions(SparkSession spark, List<SparkPartition
       Dataset<String> duplicates = importedFiles.join(existingFiles, joinCond)
           .select("file_path").as(Encoders.STRING());
       Preconditions.checkState(duplicates.isEmpty(),
-          String.format(duplicateFileMessage, Joiner.on(",").join((String[]) duplicates.take(10))));
+          String.format(DUPLICATE_FILE_MESSAGE, Joiner.on(",").join((String[]) duplicates.take(10))));
     }
 
     List<ManifestFile> manifests = filesToImport