diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
index e511d3da7e160..242f69539b223 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
@@ -446,7 +446,8 @@ private void readBinaryBatch(int rowId, int num, WritableColumnVector column) {
     // This is where we implement support for the valid type conversions.
     // TODO: implement remaining type conversions
     VectorizedValuesReader data = (VectorizedValuesReader) dataColumn;
-    if (column.dataType() == DataTypes.StringType || column.dataType() == DataTypes.BinaryType) {
+    if (column.dataType() == DataTypes.StringType || column.dataType() == DataTypes.BinaryType
+            || DecimalType.isByteArrayDecimalType(column.dataType())) {
       defColumn.readBinarys(num, column, rowId, maxDefLevel, data);
     } else if (column.dataType() == DataTypes.TimestampType) {
       if (!shouldConvertTimestamps()) {