diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSuite.scala
index 09c15473b21c..e5c9df05d567 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSuite.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.hive
 import org.apache.spark.sql.{QueryTest, Row}
 import org.apache.spark.sql.execution.datasources.parquet.ParquetTest
 import org.apache.spark.sql.hive.test.TestHiveSingleton
+import org.apache.spark.sql.internal.SQLConf
 
 case class Cases(lower: String, UPPER: String)
 
@@ -76,4 +77,19 @@ class HiveParquetSuite extends QueryTest with ParquetTest with TestHiveSingleton
       }
     }
   }
+
+  test("SPARK-25206: wrong records are returned by filter pushdown " +
+    "when Hive metastore schema and parquet schema are in different letter cases") {
+    withSQLConf(SQLConf.PARQUET_FILTER_PUSHDOWN_ENABLED.key -> true.toString) {
+      withTempPath { path =>
+        val data = spark.range(1, 10).toDF("id")
+        data.write.parquet(path.getCanonicalPath)
+        withTable("SPARK_25206") {
+          sql("CREATE TABLE SPARK_25206 (ID LONG) USING parquet LOCATION " +
+            s"'${path.getCanonicalPath}'")
+          checkAnswer(sql("select id from SPARK_25206 where id > 0"), data)
+        }
+      }
+    }
+  }
 }