backport to branch-2.2

Author: xuanyuanking

sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala

@@ -170,19 +170,14 @@ case class FileSourceScanExec(
     false
   }
 
+  private var metadataTime = 0L
+
   @transient private lazy val selectedPartitions: Seq[PartitionDirectory] = {
     val optimizerMetadataTimeNs = relation.location.metadataOpsTimeNs.getOrElse(0L)
     val startTime = System.nanoTime()
     val ret = relation.location.listFiles(partitionFilters, dataFilters)
     val timeTakenMs = ((System.nanoTime() - startTime) + optimizerMetadataTimeNs) / 1000 / 1000
-
-    metrics("numFiles").add(ret.map(_.files.size.toLong).sum)
-    metrics("metadataTime").add(timeTakenMs)
-
-    val executionId = sparkContext.getLocalProperty(SQLExecution.EXECUTION_ID_KEY)
-    SQLMetrics.postDriverMetricUpdates(sparkContext, executionId,
-      metrics("numFiles") :: metrics("metadataTime") :: Nil)
-
+    metadataTime = timeTakenMs
     ret
   }
 
@@ -281,6 +276,8 @@ case class FileSourceScanExec(
   }
 
   private lazy val inputRDD: RDD[InternalRow] = {
+    // Update metrics for taking effect in both code generation node and normal node.
+    updateDriverMetrics()
     val readFile: (PartitionedFile) => Iterator[InternalRow] =
       relation.fileFormat.buildReaderWithPartitionValues(
         sparkSession = relation.sparkSession,
@@ -514,6 +511,19 @@ case class FileSourceScanExec(
     }
   }
 
+  /**
+   * Send the updated metrics to driver, while this function calling, selectedPartitions has
+   * been initialized. See SPARK-26327 for more detail.
+   */
+  private def updateDriverMetrics() = {
+    metrics("numFiles").add(selectedPartitions.map(_.files.size.toLong).sum)
+    metrics("metadataTime").add(metadataTime)
+
+    val executionId = sparkContext.getLocalProperty(SQLExecution.EXECUTION_ID_KEY)
+    SQLMetrics.postDriverMetricUpdates(sparkContext, executionId,
+      metrics("numFiles") :: metrics("metadataTime") :: Nil)
+  }
+
   override lazy val canonicalized: FileSourceScanExec = {
     FileSourceScanExec(
       relation,

sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala

@@ -443,4 +443,19 @@ object InputOutputMetricsHelper {
     }
     listener.getResults()
   }
+
+  test("SPARK-26327: FileSourceScanExec metrics") {
+    withTable("testDataForScan") {
+      spark.range(10).selectExpr("id", "id % 3 as p")
+        .write.partitionBy("p").saveAsTable("testDataForScan")
+      // The execution plan only has 1 FileScan node.
+      val df = spark.sql(
+        "SELECT * FROM testDataForScan WHERE p = 1")
+      testSparkPlanMetrics(df, 1, Map(
+        0L -> (("Scan parquet default.testdataforscan", Map(
+          "number of output rows" -> 3L,
+          "number of files" -> 2L))))
+      )
+    }
+  }
 }