diff --git a/spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/source/TestSparkReaderDeletes.java b/spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/source/TestSparkReaderDeletes.java
index 4643836542aa..4d2f56390025 100644
--- a/spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/source/TestSparkReaderDeletes.java
+++ b/spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/source/TestSparkReaderDeletes.java
@@ -271,6 +271,118 @@ public void testEqualityDeleteWithFilter() throws IOException {
     assertThat(actual).as("Table should contain no rows").hasSize(0);
   }
 
+  @TestTemplate
+  public void testMergeEqualityDeletesOOM() throws IOException {
+    String tableName = table.name().substring(table.name().lastIndexOf(".") + 1);
+    Schema deleteRowSchema = table.schema().select("data");
+    Record dataDelete = GenericRecord.create(deleteRowSchema);
+
+    // Create an extremely large dataset
+    List<Record> dataDeletes = Lists.newArrayList();
+    for (int i = 0; i < 1000_000_000; i++) { // Adjust this number up if necessary
+      // Creating large strings for each record to consume more memory
+      dataDeletes.add(dataDelete.copy("data", "item" + i + "data".repeat(100)));
+//      System.out.println(dataDeletes);
+    }
+
+    DeleteFile eqDeletes =
+            FileHelpers.writeDeleteFile(
+                    table,
+                    Files.localOutput(File.createTempFile("junit", null, temp.toFile())),
+                    TestHelpers.Row.of(0), // not partition specific because key = 0
+                    dataDeletes,
+                    deleteRowSchema);
+
+    table.newRowDelta().addDeletes(eqDeletes).commit();
+
+    Types.StructType projection = table.schema().select("*").asStruct();
+    Dataset<Row> df =
+            spark
+                    .read()
+                    .format("iceberg")
+                    .load(TableIdentifier.of("default", tableName).toString())
+                    .filter("data = 'item0" + "data".repeat(100) + "'") // filtering a specific deleted row
+                    .selectExpr("*");
+
+    StructLikeSet actual = StructLikeSet.create(projection);
+    df.collectAsList()
+            .forEach(
+                    row -> {
+                      SparkStructLike rowWrapper = new SparkStructLike(projection);
+                      actual.add(rowWrapper.wrap(row));
+                    });
+    assertThat(actual).as("Table should contain no rows").hasSize(0);
+  }
+
+  @TestTemplate
+  public void testMergeEqualityDeletesOOM_v2() throws IOException {
+    // Set up table name and delete schema
+    String tableName = table.name().substring(table.name().lastIndexOf(".") + 1);
+    Schema deleteRowSchema = table.schema().select("data");
+    Record dataDelete = GenericRecord.create(deleteRowSchema);
+
+    // Create and commit multiple equality delete files to simulate memory pressure
+    // ie. creating multiple smaller equalirty delete files instead of one really big equality delete file
+    int fileCount = 10; // Number of smaller delete files
+    int recordsPerFile = 1_000_000; // Adjust for estimated ~120 MB file size
+
+    for (int j = 0; j < fileCount; j++) {
+      List<Record> dataDeletes = Lists.newArrayList();
+
+      for (int i = 0; i < recordsPerFile; i++) {
+        dataDeletes.add(dataDelete.copy("data", "item" + i + "data".repeat(100)));
+      }
+
+      // Write each equality delete file separately
+      File deleteFile = File.createTempFile("junit", null, temp.toFile());
+      DeleteFile eqDeletes = FileHelpers.writeDeleteFile(
+              table,
+              Files.localOutput(deleteFile),
+              TestHelpers.Row.of(0),
+              dataDeletes,
+              deleteRowSchema
+      );
+      table.newRowDelta().addDeletes(eqDeletes).commit();
+
+      // Check and log the file size
+      // File size check: deleteFile.length() returns the file size in bytes
+      // then we divide by (1024 * 1024) to convert bytes to megabytes
+      long fileSizeInBytes = deleteFile.length();
+      System.out.println("Equality delete file " + j + " size: " + (fileSizeInBytes / (1024 * 1024)) + " MB");
+      System.out.println(deleteFile);
+      System.out.println(eqDeletes);
+    }
+
+
+    // Prepare for the SELECT * query (basic read)
+    Types.StructType projection = table.schema().select("*").asStruct();
+    Dataset<Row> df = spark.read()
+            .format("iceberg")
+            .load(TableIdentifier.of("default", tableName).toString())
+            .filter("data = 'item0" + "data".repeat(100) + "'") // Filter to verify delete is applied
+            .selectExpr("*");
+
+    // Track memory usage before read operation
+    long initialMemory = Runtime.getRuntime().totalMemory() - Runtime.getRuntime().freeMemory();
+
+    // Execute and process SELECT * result, ensuring all equality deletes are applied
+    StructLikeSet actual = StructLikeSet.create(projection);
+    df.collectAsList().forEach(row -> {
+      SparkStructLike rowWrapper = new SparkStructLike(projection);
+      actual.add(rowWrapper.wrap(row));
+    });
+
+    // Track memory usage after read operation
+    long finalMemory = Runtime.getRuntime().totalMemory() - Runtime.getRuntime().freeMemory();
+
+    // Assertions
+    assertThat(actual).as("Table should contain no rows").hasSize(0); // Equality-deleted rows should not appear
+    System.out.println("Memory consumed during read operation: " + (finalMemory - initialMemory)
+            + " bytes. This is because initial memory consumption (before simulating read) was "
+            + initialMemory + " and final memory consumption was " + finalMemory);
+  }
+
+
   @TestTemplate
   public void testReadEqualityDeleteRows() throws IOException {
     Schema deleteSchema1 = table.schema().select("data");