diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
index 476bd02374364..d8f47eec952de 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
@@ -321,19 +321,6 @@ class ParquetFileFormat
       SQLConf.PARQUET_INT96_AS_TIMESTAMP.key,
       sparkSession.sessionState.conf.isParquetINT96AsTimestamp)
 
-    // Try to push down filters when filter push-down is enabled.
-    val pushed =
-      if (sparkSession.sessionState.conf.parquetFilterPushDown) {
-        filters
-          // Collects all converted Parquet filter predicates. Notice that not all predicates can be
-          // converted (`ParquetFilters.createFilter` returns an `Option`). That's why a `flatMap`
-          // is used here.
-          .flatMap(ParquetFilters.createFilter(requiredSchema, _))
-          .reduceOption(FilterApi.and)
-      } else {
-        None
-      }
-
     val broadcastedHadoopConf =
       sparkSession.sparkContext.broadcast(new SerializableConfiguration(hadoopConf))
 
@@ -351,12 +338,26 @@ class ParquetFileFormat
     val timestampConversion: Boolean =
       sparkSession.sessionState.conf.isParquetINT96TimestampConversion
     val capacity = sqlConf.parquetVectorizedReaderBatchSize
+    val enableParquetFilterPushDown: Boolean =
+      sparkSession.sessionState.conf.parquetFilterPushDown
     // Whole stage codegen (PhysicalRDD) is able to deal with batches directly
     val returningBatch = supportBatch(sparkSession, resultSchema)
 
     (file: PartitionedFile) => {
       assert(file.partitionValues.numFields == partitionSchema.size)
 
+      // Try to push down filters when filter push-down is enabled.
+      val pushed = if (enableParquetFilterPushDown) {
+        filters
+          // Collects all converted Parquet filter predicates. Notice that not all predicates can be
+          // converted (`ParquetFilters.createFilter` returns an `Option`). That's why a `flatMap`
+          // is used here.
+          .flatMap(ParquetFilters.createFilter(requiredSchema, _))
+          .reduceOption(FilterApi.and)
+      } else {
+        None
+      }
+
       val fileSplit =
         new FileSplit(new Path(new URI(file.filePath)), file.start, file.length, Array.empty)