diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala
index 21503fda53e01..9b6f99328663b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala
@@ -83,15 +83,14 @@ trait FileScan extends Scan
   protected def seqToString(seq: Seq[Any]): String = seq.mkString("[", ", ", "]")
 
   private lazy val (normalizedPartitionFilters, normalizedDataFilters) = {
-    val output = readSchema().toAttributes
     val partitionFilterAttributes = AttributeSet(partitionFilters).map(a => a.name -> a).toMap
-    val dataFiltersAttributes = AttributeSet(dataFilters).map(a => a.name -> a).toMap
     val normalizedPartitionFilters = ExpressionSet(partitionFilters.map(
-      QueryPlan.normalizeExpressions(_,
-        output.map(a => partitionFilterAttributes.getOrElse(a.name, a)))))
+      QueryPlan.normalizeExpressions(_, fileIndex.partitionSchema.toAttributes
+        .map(a => partitionFilterAttributes.getOrElse(a.name, a)))))
+    val dataFiltersAttributes = AttributeSet(dataFilters).map(a => a.name -> a).toMap
     val normalizedDataFilters = ExpressionSet(dataFilters.map(
-      QueryPlan.normalizeExpressions(_,
-        output.map(a => dataFiltersAttributes.getOrElse(a.name, a)))))
+      QueryPlan.normalizeExpressions(_, dataSchema.toAttributes
+        .map(a => dataFiltersAttributes.getOrElse(a.name, a)))))
     (normalizedPartitionFilters, normalizedDataFilters)
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 0fa2c7195dbb9..0854c6ba45747 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -4028,6 +4028,36 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
     }
   }
 
+  test("SPARK-40245: Fix FileScan canonicalization when partition or data filter columns are not " +
+    "read") {
+    withSQLConf(SQLConf.USE_V1_SOURCE_LIST.key -> "") {
+      withTempPath { path =>
+        spark.range(5)
+          .withColumn("p", $"id" % 2)
+          .write
+          .mode("overwrite")
+          .partitionBy("p")
+          .parquet(path.toString)
+        withTempView("t") {
+          spark.read.parquet(path.toString).createOrReplaceTempView("t")
+          val df = sql(
+            """
+              |SELECT t1.id, t2.id, t3.id
+              |FROM t AS t1
+              |JOIN t AS t2 ON t2.id = t1.id
+              |JOIN t AS t3 ON t3.id = t2.id
+              |WHERE t1.p = 1 AND t2.p = 1 AND t3.p = 1
+              |""".stripMargin)
+          df.collect()
+          val reusedExchanges = collect(df.queryExecution.executedPlan) {
+            case r: ReusedExchangeExec => r
+          }
+          assert(reusedExchanges.size == 1)
+        }
+      }
+    }
+  }
+
   test("SPARK-35331: Fix resolving original expression in RepartitionByExpression after aliased") {
     Seq("CLUSTER", "DISTRIBUTE").foreach { keyword =>
       Seq("a", "substr(a, 0, 3)").foreach { expr =>