comphead commented on code in PR #4128:
URL: https://github.com/apache/datafusion-comet/pull/4128#discussion_r3155688580
##########
spark/src/test/scala/org/apache/comet/CometIcebergNativeSuite.scala:
##########
@@ -2764,4 +2769,82 @@ class CometIcebergNativeSuite extends CometTestBase with
RESTCatalogHelper {
}
}
}
+
+ test("task-level inputMetrics.bytesRead is populated for Iceberg native
scan") {
+ assume(icebergAvailable, "Iceberg not available in classpath")
+
+ withTempIcebergDir { warehouseDir =>
+ withSQLConf(
+ "spark.sql.catalog.test_cat" ->
"org.apache.iceberg.spark.SparkCatalog",
+ "spark.sql.catalog.test_cat.type" -> "hadoop",
+ "spark.sql.catalog.test_cat.warehouse" -> warehouseDir.getAbsolutePath,
+ CometConf.COMET_ENABLED.key -> "true",
+ CometConf.COMET_EXEC_ENABLED.key -> "true",
+ CometConf.COMET_ICEBERG_NATIVE_ENABLED.key -> "true") {
+
+ spark.sql("""
+ CREATE TABLE test_cat.db.task_metrics_test (
+ id INT,
+ value DOUBLE
+ ) USING iceberg
+ """)
+
+ spark
+ .range(10000)
+ .selectExpr("CAST(id AS INT)", "CAST(id * 1.5 AS DOUBLE) as value")
+ .coalesce(1)
Review Comment:
```suggestion
.repartition(5)
```
to assert metrics are correct for multiple input files
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