From 2ad3b6f72fde7ab220dd0bcdb37d89233205247c Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Mon, 30 Mar 2026 09:31:52 -0700
Subject: [PATCH 01/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../apache/spark/sql/comet/CometExecRDD.scala | 12 ++++
 .../spark/sql/comet/CometMetricNode.scala     | 11 ++++
 .../sql/comet/CometTaskMetricsSuite.scala     | 65 +++++++++++++++++++
 3 files changed, 88 insertions(+)

diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
index c5014818c4..5310b7c84a 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
@@ -139,6 +139,18 @@ private[spark] class CometExecRDD(
       ctx.addTaskCompletionListener[Unit] { _ =>
         it.close()
         subqueries.foreach(sub => CometScalarSubquery.removeSubquery(it.id, sub))
+
+        // Propagate native scan metrics (bytes_scanned, output_rows) to Spark's task-level
+        // inputMetrics so they appear in the Spark UI "Input" column and are reported via
+        // the listener infrastructure. The native reader bypasses Hadoop's Java FileSystem,
+        // so thread-local FS statistics are never updated -- we bridge the gap here.
+        val bytesScannedMetric = nativeMetrics.findMetric("bytes_scanned")
+        val outputRowsMetric = nativeMetrics.findMetric("output_rows")
+        if (bytesScannedMetric.isDefined || outputRowsMetric.isDefined) {
+          val inputMetrics = ctx.taskMetrics().inputMetrics
+          bytesScannedMetric.foreach(m => inputMetrics.setBytesRead(m.value))
+          outputRowsMetric.foreach(m => inputMetrics.setRecordsRead(m.value))
+        }
       }
     }
 
diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
index 8c75df1d45..2867c54a45 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
@@ -79,10 +79,21 @@ case class CometMetricNode(metrics: Map[String, SQLMetric], children: Seq[CometM
     }
   }
 
+  // Called via JNI from `comet_metric_node.rs`
   def set_all_from_bytes(bytes: Array[Byte]): Unit = {
     val metricNode = Metric.NativeMetricNode.parseFrom(bytes)
     set_all(metricNode)
   }
+
+  /**
+   * Finds a metric by name in this node or any descendant node. Returns the first match found via
+   * depth-first search.
+   */
+  def findMetric(name: String): Option[SQLMetric] = {
+    metrics.get(name).orElse {
+      children.iterator.map(_.findMetric(name)).collectFirst { case Some(m) => m }
+    }
+  }
 }
 
 object CometMetricNode {
diff --git a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
index 3946aab184..ec77dbc1fc 100644
--- a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
@@ -21,6 +21,7 @@ package org.apache.spark.sql.comet
 
 import scala.collection.mutable
 
+import org.apache.spark.executor.InputMetrics
 import org.apache.spark.executor.ShuffleReadMetrics
 import org.apache.spark.executor.ShuffleWriteMetrics
 import org.apache.spark.scheduler.SparkListener
@@ -30,6 +31,8 @@ import org.apache.spark.sql.comet.execution.shuffle.CometNativeShuffle
 import org.apache.spark.sql.comet.execution.shuffle.CometShuffleExchangeExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 
+import org.apache.comet.CometConf
+
 class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
 
   import testImplicits._
@@ -91,4 +94,66 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
       }
     }
   }
+
+  test("native_datafusion scan reports task-level input metrics matching Spark") {
+    withParquetTable((0 until 10000).map(i => (i, (i + 1).toLong)), "tbl") {
+      // Collect baseline input metrics from vanilla Spark (Comet disabled)
+      val (sparkBytes, sparkRecords) = collectInputMetrics(CometConf.COMET_ENABLED.key -> "false")
+
+      // Collect input metrics from Comet native_datafusion scan
+      val (cometBytes, cometRecords) = collectInputMetrics(
+        CometConf.COMET_NATIVE_SCAN_IMPL.key -> CometConf.SCAN_NATIVE_DATAFUSION)
+
+      // Records must match exactly
+      assert(
+        cometRecords == sparkRecords,
+        s"recordsRead mismatch: comet=$cometRecords, spark=$sparkRecords")
+
+      // Bytes should be in the same ballpark -- both read the same Parquet file(s),
+      // but the exact byte count can differ due to reader implementation details
+      // (e.g. footer reads, page headers, buffering granularity).
+      assert(sparkBytes > 0, s"Spark bytesRead should be > 0, got $sparkBytes")
+      assert(cometBytes > 0, s"Comet bytesRead should be > 0, got $cometBytes")
+      val ratio = cometBytes.toDouble / sparkBytes.toDouble
+      assert(
+        ratio >= 0.85 && ratio <= 1.15,
+        s"bytesRead ratio out of range: comet=$cometBytes, spark=$sparkBytes, ratio=$ratio")
+    }
+  }
+
+  /**
+   * Runs `SELECT * FROM tbl` with the given SQL config overrides and returns the aggregated
+   * (bytesRead, recordsRead) across all tasks.
+   */
+  private def collectInputMetrics(confs: (String, String)*): (Long, Long) = {
+    val inputMetricsList = mutable.ArrayBuffer.empty[InputMetrics]
+
+    val listener = new SparkListener {
+      override def onTaskEnd(taskEnd: SparkListenerTaskEnd): Unit = {
+        val im = taskEnd.taskMetrics.inputMetrics
+        inputMetricsList.synchronized {
+          inputMetricsList += im
+        }
+      }
+    }
+
+    spark.sparkContext.addSparkListener(listener)
+    try {
+      // Drain any earlier events
+      spark.sparkContext.listenerBus.waitUntilEmpty()
+
+      withSQLConf(confs: _*) {
+        sql("SELECT * FROM tbl").collect()
+      }
+
+      spark.sparkContext.listenerBus.waitUntilEmpty()
+
+      assert(inputMetricsList.nonEmpty, s"No input metrics found for confs=$confs")
+      val totalBytes = inputMetricsList.map(_.bytesRead).sum
+      val totalRecords = inputMetricsList.map(_.recordsRead).sum
+      (totalBytes, totalRecords)
+    } finally {
+      spark.sparkContext.removeSparkListener(listener)
+    }
+  }
 }

From e2c6093a3abca023a05df6c5aba850f806da634b Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Mon, 30 Mar 2026 09:54:18 -0700
Subject: [PATCH 02/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../org/apache/spark/sql/comet/CometTaskMetricsSuite.scala      | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
index ec77dbc1fc..59d02512a0 100644
--- a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
@@ -116,7 +116,7 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
       assert(cometBytes > 0, s"Comet bytesRead should be > 0, got $cometBytes")
       val ratio = cometBytes.toDouble / sparkBytes.toDouble
       assert(
-        ratio >= 0.85 && ratio <= 1.15,
+        ratio >= 0.8 && ratio <= 1.2,
         s"bytesRead ratio out of range: comet=$cometBytes, spark=$sparkBytes, ratio=$ratio")
     }
   }

From ac6b869680ed29f5212a4abef4e1bed0581320cb Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Mon, 30 Mar 2026 16:53:48 -0700
Subject: [PATCH 03/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../apache/spark/sql/comet/CometExecRDD.scala   | 17 ++++++-----------
 .../spark/sql/comet/CometMetricNode.scala       | 10 ----------
 2 files changed, 6 insertions(+), 21 deletions(-)

diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
index 5310b7c84a..c547b43d48 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
@@ -140,17 +140,12 @@ private[spark] class CometExecRDD(
         it.close()
         subqueries.foreach(sub => CometScalarSubquery.removeSubquery(it.id, sub))
 
-        // Propagate native scan metrics (bytes_scanned, output_rows) to Spark's task-level
-        // inputMetrics so they appear in the Spark UI "Input" column and are reported via
-        // the listener infrastructure. The native reader bypasses Hadoop's Java FileSystem,
-        // so thread-local FS statistics are never updated -- we bridge the gap here.
-        val bytesScannedMetric = nativeMetrics.findMetric("bytes_scanned")
-        val outputRowsMetric = nativeMetrics.findMetric("output_rows")
-        if (bytesScannedMetric.isDefined || outputRowsMetric.isDefined) {
-          val inputMetrics = ctx.taskMetrics().inputMetrics
-          bytesScannedMetric.foreach(m => inputMetrics.setBytesRead(m.value))
-          outputRowsMetric.foreach(m => inputMetrics.setRecordsRead(m.value))
-        }
+        nativeMetrics.metrics
+          .get("bytes_scanned")
+          .foreach(m => ctx.taskMetrics().inputMetrics.setBytesRead(m.value))
+        nativeMetrics.metrics
+          .get("output_rows")
+          .foreach(m => ctx.taskMetrics().inputMetrics.setRecordsRead(m.value))
       }
     }
 
diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
index 2867c54a45..7883775c80 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
@@ -84,16 +84,6 @@ case class CometMetricNode(metrics: Map[String, SQLMetric], children: Seq[CometM
     val metricNode = Metric.NativeMetricNode.parseFrom(bytes)
     set_all(metricNode)
   }
-
-  /**
-   * Finds a metric by name in this node or any descendant node. Returns the first match found via
-   * depth-first search.
-   */
-  def findMetric(name: String): Option[SQLMetric] = {
-    metrics.get(name).orElse {
-      children.iterator.map(_.findMetric(name)).collectFirst { case Some(m) => m }
-    }
-  }
 }
 
 object CometMetricNode {

From 7c8377d78ae68a52a98a9f52f7a953c6d5384ec1 Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Tue, 31 Mar 2026 08:34:14 -0700
Subject: [PATCH 04/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../spark/sql/comet/CometTaskMetricsSuite.scala     | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
index 59d02512a0..57a28e97fb 100644
--- a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
@@ -100,8 +100,21 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
       // Collect baseline input metrics from vanilla Spark (Comet disabled)
       val (sparkBytes, sparkRecords) = collectInputMetrics(CometConf.COMET_ENABLED.key -> "false")
 
+      // Verify the plan actually uses CometNativeScanExec before collecting metrics
+      withSQLConf(
+        CometConf.COMET_ENABLED.key -> "true",
+        CometConf.COMET_NATIVE_SCAN_IMPL.key -> CometConf.SCAN_NATIVE_DATAFUSION) {
+        val df = sql("SELECT * FROM tbl")
+        df.collect() // force plan materialization for AQE
+        val plan = stripAQEPlan(df.queryExecution.executedPlan)
+        assert(
+          find(plan)(_.isInstanceOf[CometNativeScanExec]).isDefined,
+          s"Expected CometNativeScanExec in plan:\n${plan.treeString}")
+      }
+
       // Collect input metrics from Comet native_datafusion scan
       val (cometBytes, cometRecords) = collectInputMetrics(
+        CometConf.COMET_ENABLED.key -> "true",
         CometConf.COMET_NATIVE_SCAN_IMPL.key -> CometConf.SCAN_NATIVE_DATAFUSION)
 
       // Records must match exactly

From 0ec7f55531a10299d7fe7c7cc2862555fe7d6f24 Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Tue, 31 Mar 2026 14:07:05 -0700
Subject: [PATCH 05/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../sql/comet/CometTaskMetricsSuite.scala     | 34 +++++++++----------
 1 file changed, 16 insertions(+), 18 deletions(-)

diff --git a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
index 57a28e97fb..f436a43d0a 100644
--- a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
@@ -29,6 +29,7 @@ import org.apache.spark.scheduler.SparkListenerTaskEnd
 import org.apache.spark.sql.CometTestBase
 import org.apache.spark.sql.comet.execution.shuffle.CometNativeShuffle
 import org.apache.spark.sql.comet.execution.shuffle.CometShuffleExchangeExec
+import org.apache.spark.sql.execution.SparkPlan
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 
 import org.apache.comet.CometConf
@@ -98,25 +99,19 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
   test("native_datafusion scan reports task-level input metrics matching Spark") {
     withParquetTable((0 until 10000).map(i => (i, (i + 1).toLong)), "tbl") {
       // Collect baseline input metrics from vanilla Spark (Comet disabled)
-      val (sparkBytes, sparkRecords) = collectInputMetrics(CometConf.COMET_ENABLED.key -> "false")
-
-      // Verify the plan actually uses CometNativeScanExec before collecting metrics
-      withSQLConf(
-        CometConf.COMET_ENABLED.key -> "true",
-        CometConf.COMET_NATIVE_SCAN_IMPL.key -> CometConf.SCAN_NATIVE_DATAFUSION) {
-        val df = sql("SELECT * FROM tbl")
-        df.collect() // force plan materialization for AQE
-        val plan = stripAQEPlan(df.queryExecution.executedPlan)
-        assert(
-          find(plan)(_.isInstanceOf[CometNativeScanExec]).isDefined,
-          s"Expected CometNativeScanExec in plan:\n${plan.treeString}")
-      }
+      val (sparkBytes, sparkRecords, _) =
+        collectInputMetrics(CometConf.COMET_ENABLED.key -> "false")
 
       // Collect input metrics from Comet native_datafusion scan
-      val (cometBytes, cometRecords) = collectInputMetrics(
+      val (cometBytes, cometRecords, cometPlan) = collectInputMetrics(
         CometConf.COMET_ENABLED.key -> "true",
         CometConf.COMET_NATIVE_SCAN_IMPL.key -> CometConf.SCAN_NATIVE_DATAFUSION)
 
+      // Verify the plan actually used CometNativeScanExec
+      assert(
+        find(cometPlan)(_.isInstanceOf[CometNativeScanExec]).isDefined,
+        s"Expected CometNativeScanExec in plan:\n${cometPlan.treeString}")
+
       // Records must match exactly
       assert(
         cometRecords == sparkRecords,
@@ -136,9 +131,9 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
 
   /**
    * Runs `SELECT * FROM tbl` with the given SQL config overrides and returns the aggregated
-   * (bytesRead, recordsRead) across all tasks.
+   * (bytesRead, recordsRead) across all tasks, along with the executed plan.
    */
-  private def collectInputMetrics(confs: (String, String)*): (Long, Long) = {
+  private def collectInputMetrics(confs: (String, String)*): (Long, Long, SparkPlan) = {
     val inputMetricsList = mutable.ArrayBuffer.empty[InputMetrics]
 
     val listener = new SparkListener {
@@ -155,8 +150,11 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
       // Drain any earlier events
       spark.sparkContext.listenerBus.waitUntilEmpty()
 
+      var plan: SparkPlan = null
       withSQLConf(confs: _*) {
-        sql("SELECT * FROM tbl").collect()
+        val df = sql("SELECT * FROM tbl where _1 > 2000")
+        df.collect()
+        plan = stripAQEPlan(df.queryExecution.executedPlan)
       }
 
       spark.sparkContext.listenerBus.waitUntilEmpty()
@@ -164,7 +162,7 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
       assert(inputMetricsList.nonEmpty, s"No input metrics found for confs=$confs")
       val totalBytes = inputMetricsList.map(_.bytesRead).sum
       val totalRecords = inputMetricsList.map(_.recordsRead).sum
-      (totalBytes, totalRecords)
+      (totalBytes, totalRecords, plan)
     } finally {
       spark.sparkContext.removeSparkListener(listener)
     }

From b1a0d67501084e226b8220b194034f13fb0b3609 Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Wed, 1 Apr 2026 10:14:34 -0700
Subject: [PATCH 06/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../apache/spark/sql/comet/CometExecRDD.scala | 24 ++++++++++++-------
 .../comet/CometIcebergNativeScanExec.scala    |  3 ++-
 .../spark/sql/comet/CometMetricNode.scala     | 10 ++++++++
 .../spark/sql/comet/CometNativeScanExec.scala |  3 ++-
 4 files changed, 29 insertions(+), 11 deletions(-)

diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
index c547b43d48..fee8a6fcae 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
@@ -66,7 +66,8 @@ private[spark] class CometExecRDD(
     subqueries: Seq[ScalarSubquery],
     broadcastedHadoopConfForEncryption: Option[Broadcast[SerializableConfiguration]] = None,
     encryptedFilePaths: Seq[String] = Seq.empty,
-    shuffleScanIndices: Set[Int] = Set.empty)
+    shuffleScanIndices: Set[Int] = Set.empty,
+    hasNativeScan: Boolean = false)
     extends RDD[ColumnarBatch](sc, inputRDDs.map(rdd => new OneToOneDependency(rdd))) {
 
   // Determine partition count: from inputs if available, otherwise from parameter
@@ -140,12 +141,15 @@ private[spark] class CometExecRDD(
         it.close()
         subqueries.foreach(sub => CometScalarSubquery.removeSubquery(it.id, sub))
 
-        nativeMetrics.metrics
-          .get("bytes_scanned")
-          .foreach(m => ctx.taskMetrics().inputMetrics.setBytesRead(m.value))
-        nativeMetrics.metrics
-          .get("output_rows")
-          .foreach(m => ctx.taskMetrics().inputMetrics.setRecordsRead(m.value))
+        if (hasNativeScan) {
+          val leaf = nativeMetrics.leafNode
+          leaf.metrics.get("bytes_scanned").foreach { bs =>
+            ctx.taskMetrics().inputMetrics.setBytesRead(bs.value)
+            leaf.metrics
+              .get("output_rows")
+              .foreach(m => ctx.taskMetrics().inputMetrics.setRecordsRead(m.value))
+          }
+        }
       }
     }
 
@@ -187,7 +191,8 @@ object CometExecRDD {
       subqueries: Seq[ScalarSubquery],
       broadcastedHadoopConfForEncryption: Option[Broadcast[SerializableConfiguration]] = None,
       encryptedFilePaths: Seq[String] = Seq.empty,
-      shuffleScanIndices: Set[Int] = Set.empty): CometExecRDD = {
+      shuffleScanIndices: Set[Int] = Set.empty,
+      hasNativeScan: Boolean = false): CometExecRDD = {
     // scalastyle:on
 
     new CometExecRDD(
@@ -202,6 +207,7 @@ object CometExecRDD {
       subqueries,
       broadcastedHadoopConfForEncryption,
       encryptedFilePaths,
-      shuffleScanIndices)
+      shuffleScanIndices,
+      hasNativeScan)
   }
 }
diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometIcebergNativeScanExec.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometIcebergNativeScanExec.scala
index 36085b6329..b4a408eeda 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometIcebergNativeScanExec.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometIcebergNativeScanExec.scala
@@ -305,7 +305,8 @@ case class CometIcebergNativeScanExec(
       numPartitions = perPartitionData.length,
       numOutputCols = output.length,
       nativeMetrics = nativeMetrics,
-      subqueries = Seq.empty)
+      subqueries = Seq.empty,
+      hasNativeScan = true)
   }
 
   /**
diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
index 7883775c80..c60202a96f 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometMetricNode.scala
@@ -41,6 +41,16 @@ import org.apache.comet.serde.Metric
 case class CometMetricNode(metrics: Map[String, SQLMetric], children: Seq[CometMetricNode])
     extends Logging {
 
+  /**
+   * Returns the leaf node (deepest single-child descendant). For a native scan plan like
+   * FilterExec -> DataSourceExec, this returns the DataSourceExec node which has the
+   * bytes_scanned and output_rows metrics from the Parquet reader.
+   */
+  def leafNode: CometMetricNode = {
+    if (children.isEmpty) this
+    else children.head.leafNode
+  }
+
   /**
    * Gets a child node. Called from native.
    */
diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala
index dcb975ac7a..f5e6495724 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala
@@ -191,7 +191,8 @@ case class CometNativeScanExec(
       nativeMetrics = nativeMetrics,
       subqueries = Seq.empty,
       broadcastedHadoopConfForEncryption = broadcastedHadoopConfForEncryption,
-      encryptedFilePaths = encryptedFilePaths)
+      encryptedFilePaths = encryptedFilePaths,
+      hasNativeScan = true)
   }
 
   override def doCanonicalize(): CometNativeScanExec = {

From 70252c2e699ab16c2d4141677722fc1c02c288ba Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Wed, 1 Apr 2026 14:55:36 -0700
Subject: [PATCH 07/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../apache/spark/sql/comet/CometExecRDD.scala | 11 ++-
 .../sql/comet/CometTaskMetricsSuite.scala     | 72 ++++++++++---------
 2 files changed, 47 insertions(+), 36 deletions(-)

diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
index fee8a6fcae..1ad7526d70 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
@@ -145,9 +145,14 @@ private[spark] class CometExecRDD(
           val leaf = nativeMetrics.leafNode
           leaf.metrics.get("bytes_scanned").foreach { bs =>
             ctx.taskMetrics().inputMetrics.setBytesRead(bs.value)
-            leaf.metrics
-              .get("output_rows")
-              .foreach(m => ctx.taskMetrics().inputMetrics.setRecordsRead(m.value))
+            // Total rows read from Parquet = rows output after pushdown (output_rows)
+            // + rows pruned by pushdown filters (pushdown_rows_pruned).
+            // This matches Spark's recordsRead which counts rows before filtering.
+            val outputRows =
+              leaf.metrics.get("output_rows").map(_.value).getOrElse(0L)
+            val prunedRows =
+              leaf.metrics.get("pushdown_rows_pruned").map(_.value).getOrElse(0L)
+            ctx.taskMetrics().inputMetrics.setRecordsRead(outputRows + prunedRows)
           }
         }
       }
diff --git a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
index f436a43d0a..3107440ea3 100644
--- a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
@@ -21,7 +21,7 @@ package org.apache.spark.sql.comet
 
 import scala.collection.mutable
 
-import org.apache.spark.executor.InputMetrics
+import org.apache.spark.SparkConf
 import org.apache.spark.executor.ShuffleReadMetrics
 import org.apache.spark.executor.ShuffleWriteMetrics
 import org.apache.spark.scheduler.SparkListener
@@ -36,6 +36,10 @@ import org.apache.comet.CometConf
 
 class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
 
+  override protected def sparkConf: SparkConf = {
+    super.sparkConf.set("spark.ui.enabled", "true")
+  }
+
   import testImplicits._
 
   test("per-task native shuffle metrics") {
@@ -97,12 +101,20 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
   }
 
   test("native_datafusion scan reports task-level input metrics matching Spark") {
-    withParquetTable((0 until 10000).map(i => (i, (i + 1).toLong)), "tbl") {
+    val totalRows = 10000
+    withTempPath { dir =>
+      val rng = new scala.util.Random(42)
+      spark
+        .createDataFrame((0 until totalRows).map(_ => (rng.nextInt(), rng.nextLong())))
+        .repartition(5)
+        .write
+        .parquet(dir.getAbsolutePath)
+      spark.read.parquet(dir.getAbsolutePath).createOrReplaceTempView("tbl")
       // Collect baseline input metrics from vanilla Spark (Comet disabled)
       val (sparkBytes, sparkRecords, _) =
         collectInputMetrics(CometConf.COMET_ENABLED.key -> "false")
 
-      // Collect input metrics from Comet native_datafusion scan
+      // Collect input metrics from Comet native_datafusion scan.
       val (cometBytes, cometRecords, cometPlan) = collectInputMetrics(
         CometConf.COMET_ENABLED.key -> "true",
         CometConf.COMET_NATIVE_SCAN_IMPL.key -> CometConf.SCAN_NATIVE_DATAFUSION)
@@ -112,10 +124,9 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
         find(cometPlan)(_.isInstanceOf[CometNativeScanExec]).isDefined,
         s"Expected CometNativeScanExec in plan:\n${cometPlan.treeString}")
 
-      // Records must match exactly
       assert(
         cometRecords == sparkRecords,
-        s"recordsRead mismatch: comet=$cometRecords, spark=$sparkRecords")
+        s"recordsRead mismatch: comet=$cometRecords, sparkRecords=$sparkRecords")
 
       // Bytes should be in the same ballpark -- both read the same Parquet file(s),
       // but the exact byte count can differ due to reader implementation details
@@ -130,41 +141,36 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
   }
 
   /**
-   * Runs `SELECT * FROM tbl` with the given SQL config overrides and returns the aggregated
-   * (bytesRead, recordsRead) across all tasks, along with the executed plan.
+   * Runs `SELECT * FROM tbl WHERE _1 > 2000` with the given SQL config overrides and returns the
+   * aggregated (bytesRead, recordsRead) across all tasks, along with the executed plan.
+   *
+   * Uses AppStatusStore (same source as Spark UI) to read task-level input metrics.
+   * AppStatusStore stores immutable snapshots of metric values, unlike SparkListener's
+   * InputMetrics which are backed by mutable accumulators that can be reset.
    */
   private def collectInputMetrics(confs: (String, String)*): (Long, Long, SparkPlan) = {
-    val inputMetricsList = mutable.ArrayBuffer.empty[InputMetrics]
+    val store = spark.sparkContext.statusStore
 
-    val listener = new SparkListener {
-      override def onTaskEnd(taskEnd: SparkListenerTaskEnd): Unit = {
-        val im = taskEnd.taskMetrics.inputMetrics
-        inputMetricsList.synchronized {
-          inputMetricsList += im
-        }
-      }
+    // Record existing stage IDs so we only look at stages from our query
+    val stagesBefore = store.stageList(null).map(_.stageId).toSet
+
+    var plan: SparkPlan = null
+    withSQLConf(confs: _*) {
+      val df = sql("SELECT * FROM tbl where _1 > 2000")
+      df.collect()
+      plan = stripAQEPlan(df.queryExecution.executedPlan)
     }
 
-    spark.sparkContext.addSparkListener(listener)
-    try {
-      // Drain any earlier events
-      spark.sparkContext.listenerBus.waitUntilEmpty()
+    // Wait for listener bus to flush all events into the status store
+    spark.sparkContext.listenerBus.waitUntilEmpty()
 
-      var plan: SparkPlan = null
-      withSQLConf(confs: _*) {
-        val df = sql("SELECT * FROM tbl where _1 > 2000")
-        df.collect()
-        plan = stripAQEPlan(df.queryExecution.executedPlan)
-      }
+    // Sum input metrics from stages created by our query
+    val newStages = store.stageList(null).filterNot(s => stagesBefore.contains(s.stageId))
+    assert(newStages.nonEmpty, s"No new stages found for confs=$confs")
 
-      spark.sparkContext.listenerBus.waitUntilEmpty()
+    val totalBytes = newStages.map(_.inputBytes).sum
+    val totalRecords = newStages.map(_.inputRecords).sum
 
-      assert(inputMetricsList.nonEmpty, s"No input metrics found for confs=$confs")
-      val totalBytes = inputMetricsList.map(_.bytesRead).sum
-      val totalRecords = inputMetricsList.map(_.recordsRead).sum
-      (totalBytes, totalRecords, plan)
-    } finally {
-      spark.sparkContext.removeSparkListener(listener)
-    }
+    (totalBytes, totalRecords, plan)
   }
 }

From 4137783e05364acfa6c17123737c0701d0eea26b Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Wed, 1 Apr 2026 16:22:58 -0700
Subject: [PATCH 08/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../apache/spark/sql/comet/CometExecRDD.scala | 27 ++++++++++---------
 1 file changed, 14 insertions(+), 13 deletions(-)

diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
index 1ad7526d70..b680b114e6 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
@@ -141,19 +141,20 @@ private[spark] class CometExecRDD(
         it.close()
         subqueries.foreach(sub => CometScalarSubquery.removeSubquery(it.id, sub))
 
-        if (hasNativeScan) {
-          val leaf = nativeMetrics.leafNode
-          leaf.metrics.get("bytes_scanned").foreach { bs =>
-            ctx.taskMetrics().inputMetrics.setBytesRead(bs.value)
-            // Total rows read from Parquet = rows output after pushdown (output_rows)
-            // + rows pruned by pushdown filters (pushdown_rows_pruned).
-            // This matches Spark's recordsRead which counts rows before filtering.
-            val outputRows =
-              leaf.metrics.get("output_rows").map(_.value).getOrElse(0L)
-            val prunedRows =
-              leaf.metrics.get("pushdown_rows_pruned").map(_.value).getOrElse(0L)
-            ctx.taskMetrics().inputMetrics.setRecordsRead(outputRows + prunedRows)
-          }
+        // Report scan input metrics when the leaf node has scan metrics.
+        // The bytes_scanned key only exists in nativeScanMetrics, so this
+        // naturally skips non-scan CometExecRDD instances.
+        val leaf = nativeMetrics.leafNode
+        leaf.metrics.get("bytes_scanned").foreach { bs =>
+          ctx.taskMetrics().inputMetrics.setBytesRead(bs.value)
+          // Total rows read from Parquet = rows output after pushdown (output_rows)
+          // + rows pruned by pushdown filters (pushdown_rows_pruned).
+          // This matches Spark's recordsRead which counts rows before filtering.
+          val outputRows =
+            leaf.metrics.get("output_rows").map(_.value).getOrElse(0L)
+          val prunedRows =
+            leaf.metrics.get("pushdown_rows_pruned").map(_.value).getOrElse(0L)
+          ctx.taskMetrics().inputMetrics.setRecordsRead(outputRows + prunedRows)
         }
       }
     }

From aa24794acde49266d8d3a48e70156ac12b164eac Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Thu, 2 Apr 2026 09:23:43 -0700
Subject: [PATCH 09/12] chore: `native_datafusion` fails on repartition + count

---
 .../scala/org/apache/spark/sql/comet/CometExecRDD.scala  | 9 +++------
 .../spark/sql/comet/CometIcebergNativeScanExec.scala     | 3 +--
 .../org/apache/spark/sql/comet/CometNativeScanExec.scala | 3 +--
 3 files changed, 5 insertions(+), 10 deletions(-)

diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
index b680b114e6..4e4dbc4b7d 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
@@ -66,8 +66,7 @@ private[spark] class CometExecRDD(
     subqueries: Seq[ScalarSubquery],
     broadcastedHadoopConfForEncryption: Option[Broadcast[SerializableConfiguration]] = None,
     encryptedFilePaths: Seq[String] = Seq.empty,
-    shuffleScanIndices: Set[Int] = Set.empty,
-    hasNativeScan: Boolean = false)
+    shuffleScanIndices: Set[Int] = Set.empty)
     extends RDD[ColumnarBatch](sc, inputRDDs.map(rdd => new OneToOneDependency(rdd))) {
 
   // Determine partition count: from inputs if available, otherwise from parameter
@@ -197,8 +196,7 @@ object CometExecRDD {
       subqueries: Seq[ScalarSubquery],
       broadcastedHadoopConfForEncryption: Option[Broadcast[SerializableConfiguration]] = None,
       encryptedFilePaths: Seq[String] = Seq.empty,
-      shuffleScanIndices: Set[Int] = Set.empty,
-      hasNativeScan: Boolean = false): CometExecRDD = {
+      shuffleScanIndices: Set[Int] = Set.empty): CometExecRDD = {
     // scalastyle:on
 
     new CometExecRDD(
@@ -213,7 +211,6 @@ object CometExecRDD {
       subqueries,
       broadcastedHadoopConfForEncryption,
       encryptedFilePaths,
-      shuffleScanIndices,
-      hasNativeScan)
+      shuffleScanIndices)
   }
 }
diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometIcebergNativeScanExec.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometIcebergNativeScanExec.scala
index b4a408eeda..36085b6329 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometIcebergNativeScanExec.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometIcebergNativeScanExec.scala
@@ -305,8 +305,7 @@ case class CometIcebergNativeScanExec(
       numPartitions = perPartitionData.length,
       numOutputCols = output.length,
       nativeMetrics = nativeMetrics,
-      subqueries = Seq.empty,
-      hasNativeScan = true)
+      subqueries = Seq.empty)
   }
 
   /**
diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala
index f5e6495724..dcb975ac7a 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala
@@ -191,8 +191,7 @@ case class CometNativeScanExec(
       nativeMetrics = nativeMetrics,
       subqueries = Seq.empty,
       broadcastedHadoopConfForEncryption = broadcastedHadoopConfForEncryption,
-      encryptedFilePaths = encryptedFilePaths,
-      hasNativeScan = true)
+      encryptedFilePaths = encryptedFilePaths)
   }
 
   override def doCanonicalize(): CometNativeScanExec = {

From 23b0e3c946a00c327828f3ff30bfd6f42a9ee413 Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Fri, 3 Apr 2026 15:08:26 -0700
Subject: [PATCH 10/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../apache/spark/sql/comet/CometExecRDD.scala | 16 ----------
 .../apache/spark/sql/comet/operators.scala    | 30 +++++++++++++++++--
 .../sql/comet/CometTaskMetricsSuite.scala     |  2 +-
 3 files changed, 29 insertions(+), 19 deletions(-)

diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
index 4e4dbc4b7d..c5014818c4 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/CometExecRDD.scala
@@ -139,22 +139,6 @@ private[spark] class CometExecRDD(
       ctx.addTaskCompletionListener[Unit] { _ =>
         it.close()
         subqueries.foreach(sub => CometScalarSubquery.removeSubquery(it.id, sub))
-
-        // Report scan input metrics when the leaf node has scan metrics.
-        // The bytes_scanned key only exists in nativeScanMetrics, so this
-        // naturally skips non-scan CometExecRDD instances.
-        val leaf = nativeMetrics.leafNode
-        leaf.metrics.get("bytes_scanned").foreach { bs =>
-          ctx.taskMetrics().inputMetrics.setBytesRead(bs.value)
-          // Total rows read from Parquet = rows output after pushdown (output_rows)
-          // + rows pruned by pushdown filters (pushdown_rows_pruned).
-          // This matches Spark's recordsRead which counts rows before filtering.
-          val outputRows =
-            leaf.metrics.get("output_rows").map(_.value).getOrElse(0L)
-          val prunedRows =
-            leaf.metrics.get("pushdown_rows_pruned").map(_.value).getOrElse(0L)
-          ctx.taskMetrics().inputMetrics.setRecordsRead(outputRows + prunedRows)
-        }
       }
     }
 
diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala
index 2965e46988..4ab101fea8 100644
--- a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala
@@ -25,6 +25,7 @@ import scala.collection.mutable
 import scala.collection.mutable.ArrayBuffer
 import scala.jdk.CollectionConverters._
 
+import org.apache.spark.{Partition, TaskContext}
 import org.apache.spark.broadcast.Broadcast
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
@@ -558,7 +559,7 @@ abstract class CometNativeExec extends CometExec {
 
         // Unified RDD creation - CometExecRDD handles all cases
         val subqueries = collectSubqueries(this)
-        CometExecRDD(
+        new CometExecRDD(
           sparkContext,
           inputs.toSeq,
           commonByKey,
@@ -570,7 +571,32 @@ abstract class CometNativeExec extends CometExec {
           subqueries,
           broadcastedHadoopConfForEncryption,
           encryptedFilePaths,
-          shuffleScanIndices)
+          shuffleScanIndices) {
+          override def compute(
+              split: Partition,
+              context: TaskContext): Iterator[ColumnarBatch] = {
+            val res = super.compute(split, context)
+
+            // Report scan input metrics only when the native plan contains a scan.
+            if (sparkPlans.exists(_.isInstanceOf[CometNativeScanExec])) {
+              Option(context).foreach { ctx =>
+                ctx.addTaskCompletionListener[Unit] { _ =>
+                  val leaf = nativeMetrics.leafNode
+                  leaf.metrics.get("bytes_scanned").foreach { bs =>
+                    ctx.taskMetrics().inputMetrics.setBytesRead(bs.value)
+                    val outputRows =
+                      leaf.metrics.get("output_rows").map(_.value).getOrElse(0L)
+                    val prunedRows =
+                      leaf.metrics.get("pushdown_rows_pruned").map(_.value).getOrElse(0L)
+                    ctx.taskMetrics().inputMetrics.setRecordsRead(outputRows + prunedRows)
+                  }
+                }
+              }
+            }
+
+            res
+          }
+        }
     }
   }
 
diff --git a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
index 3107440ea3..a4f12dc8f7 100644
--- a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
@@ -105,7 +105,7 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
     withTempPath { dir =>
       val rng = new scala.util.Random(42)
       spark
-        .createDataFrame((0 until totalRows).map(_ => (rng.nextInt(), rng.nextLong())))
+        .createDataFrame((0 until totalRows).map(i => (i, s"elem_$i")))
         .repartition(5)
         .write
         .parquet(dir.getAbsolutePath)

From 44d012d5d6346ff76c0ed51c1602d2c8b51375d4 Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Fri, 3 Apr 2026 15:27:23 -0700
Subject: [PATCH 11/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala | 1 -
 1 file changed, 1 deletion(-)

diff --git a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
index a4f12dc8f7..a053c57293 100644
--- a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
@@ -103,7 +103,6 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
   test("native_datafusion scan reports task-level input metrics matching Spark") {
     val totalRows = 10000
     withTempPath { dir =>
-      val rng = new scala.util.Random(42)
       spark
         .createDataFrame((0 until totalRows).map(i => (i, s"elem_$i")))
         .repartition(5)

From 13d93fefd882ecadca0c2cc0abc17acd95fb5087 Mon Sep 17 00:00:00 2001
From: comphead <comphead@ukr.net>
Date: Fri, 3 Apr 2026 22:57:02 -0700
Subject: [PATCH 12/12] chore: `native_datafusion` to report scan task input
 metrics

---
 .../org/apache/spark/sql/comet/CometTaskMetricsSuite.scala     | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
index a053c57293..5b6225b720 100644
--- a/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/comet/CometTaskMetricsSuite.scala
@@ -123,6 +123,9 @@ class CometTaskMetricsSuite extends CometTestBase with AdaptiveSparkPlanHelper {
         find(cometPlan)(_.isInstanceOf[CometNativeScanExec]).isDefined,
         s"Expected CometNativeScanExec in plan:\n${cometPlan.treeString}")
 
+      assert(sparkRecords > 0, s"Spark outputRecords should be > 0, got $sparkRecords")
+      assert(cometRecords > 0, s"Comet outputRecords should be > 0, got $cometRecords")
+
       assert(
         cometRecords == sparkRecords,
         s"recordsRead mismatch: comet=$cometRecords, sparkRecords=$sparkRecords")