Fix small issues

core/src/main/java/org/apache/iceberg/BaseOverwriteFiles.java

@@ -92,6 +92,7 @@ public OverwriteFiles caseSensitive(boolean isCaseSensitive) {
     return this;
   }
 
+  @Override
   public OverwriteFiles validateNoConflictingAppends(Expression newConflictDetectionFilter) {
     Preconditions.checkArgument(newConflictDetectionFilter != null, "Conflict detection filter cannot be null");
     this.conflictDetectionFilter = newConflictDetectionFilter;

core/src/main/java/org/apache/iceberg/types/FixupTypes.java

@@ -33,7 +33,7 @@ public abstract class FixupTypes extends TypeUtil.CustomOrderSchemaVisitor<Type>
   private final Schema referenceSchema;
   private Type sourceType;
 
-  public FixupTypes(Schema referenceSchema) {
+  protected FixupTypes(Schema referenceSchema) {
     this.referenceSchema = referenceSchema;
     this.sourceType = referenceSchema.asStruct();
   }

data/src/main/java/org/apache/iceberg/data/DeleteFilter.java

@@ -65,7 +65,7 @@ public abstract class DeleteFilter<T> {
   private final Schema requiredSchema;
   private final Accessor<StructLike> posAccessor;
 
-  public DeleteFilter(FileScanTask task, Schema tableSchema, Schema requestedSchema) {
+  protected DeleteFilter(FileScanTask task, Schema tableSchema, Schema requestedSchema) {
     this.setFilterThreshold = DEFAULT_SET_FILTER_THRESHOLD;
     this.dataFile = task.file();
 

spark/src/main/java/org/apache/iceberg/spark/data/SparkOrcValueReaders.java

@@ -181,7 +181,7 @@ private TimestampTzReader() {
     @Override
     public Long nonNullRead(ColumnVector vector, int row) {
       TimestampColumnVector tcv = (TimestampColumnVector) vector;
-      return (Math.floorDiv(tcv.time[row], 1_000)) * 1_000_000 + Math.floorDiv(tcv.nanos[row], 1000);
+      return Math.floorDiv(tcv.time[row], 1_000) * 1_000_000 + Math.floorDiv(tcv.nanos[row], 1000);
     }
   }
 

spark/src/main/java/org/apache/iceberg/spark/data/SparkOrcValueWriters.java

@@ -185,7 +185,7 @@ public void nonNullWrite(int rowId, int column, SpecializedGetters data, ColumnV
       TimestampColumnVector cv = (TimestampColumnVector) output;
       long micros = data.getLong(column); // it could be negative.
       cv.time[rowId] = Math.floorDiv(micros, 1_000); // millis
-      cv.nanos[rowId] = (int) (Math.floorMod(micros, 1_000_000)) * 1_000; // nanos
+      cv.nanos[rowId] = (int) Math.floorMod(micros, 1_000_000) * 1_000; // nanos
     }
   }