nastra commented on code in PR #15104:
URL: https://github.com/apache/iceberg/pull/15104#discussion_r2804546193


##########
spark/v4.1/spark/src/test/java/org/apache/iceberg/spark/source/TestSparkWriteMetrics.java:
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@@ -0,0 +1,203 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.iceberg.spark.source;
+
+import static org.assertj.core.api.Assertions.assertThat;
+
+import java.util.Map;
+import org.apache.iceberg.ParameterizedTestExtension;
+import org.apache.iceberg.spark.TestBaseWithCatalog;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.catalyst.analysis.NoSuchTableException;
+import org.apache.spark.sql.execution.SparkPlan;
+import org.apache.spark.sql.execution.metric.SQLMetric;
+import org.junit.jupiter.api.AfterEach;
+import org.junit.jupiter.api.TestTemplate;
+import org.junit.jupiter.api.extension.ExtendWith;
+import scala.collection.JavaConverters;
+
+@ExtendWith(ParameterizedTestExtension.class)
+public class TestSparkWriteMetrics extends TestBaseWithCatalog {
+
+  @AfterEach
+  public void removeTables() {
+    sql("DROP TABLE IF EXISTS %s", tableName);
+  }
+
+  @TestTemplate
+  public void testWriteMetrics() throws NoSuchTableException {
+    sql("CREATE TABLE %s (id BIGINT) USING iceberg", tableName);
+
+    String insertSql = String.format("INSERT INTO %s SELECT id FROM 
range(1000)", tableName);
+    Dataset<Row> result = spark.sql(insertSql);
+    result.collect();
+
+    SparkPlan plan = result.queryExecution().executedPlan();
+    Map<String, SQLMetric> metricsMap =
+        JavaConverters.mapAsJavaMapConverter(plan.metrics()).asJava();
+
+    // If we are at the root, check if we have the metrics.
+    // Sometimes the plan structure is complex (e.g. AdaptiveSparkPlanExec).
+    // We might want to find the specific write node.
+
+    if (!metricsMap.containsKey("addedDataFiles")) {
+      // Attempt to find a node with these metrics
+      metricsMap = findMetrics(plan, "addedDataFiles");
+    }
+
+    assertThat(metricsMap).isNotNull();
+
+    assertThat(metricsMap)
+        .hasEntrySatisfying("addedDataFiles", metric -> 
assertThat(metric.value()).isEqualTo(2));
+
+    assertThat(metricsMap)
+        .hasEntrySatisfying("addedRecords", metric -> 
assertThat(metric.value()).isEqualTo(1000));
+
+    assertThat(metricsMap)
+        .hasEntrySatisfying(
+            "addedFileSizeInBytes", metric -> 
assertThat(metric.value()).isGreaterThan(0));
+
+    assertThat(metricsMap)
+        .hasEntrySatisfying("totalDataFiles", metric -> 
assertThat(metric.value()).isEqualTo(2));
+
+    assertThat(metricsMap)
+        .hasEntrySatisfying("totalRecords", metric -> 
assertThat(metric.value()).isEqualTo(1000));
+
+    assertThat(metricsMap)
+        .hasEntrySatisfying(
+            "totalFileSizeInBytes", metric -> 
assertThat(metric.value()).isGreaterThan(0));
+
+    // Verify other metrics are 0
+    String[] zeroMetrics = {
+      "addedDeleteFiles",
+      "addedEqualityDeleteFiles",
+      "addedPositionalDeleteFiles",
+      "addedEqualityDeletes",
+      "addedPositionalDeletes",
+      "removedDataFiles",
+      "removedDeleteFiles",
+      "removedEqualityDeleteFiles",
+      "removedPositionalDeleteFiles",
+      "removedEqualityDeletes",
+      "removedPositionalDeletes",
+      "removedRecords",
+      "removedFileSizeInBytes",
+      "totalDeleteFiles",
+      "totalEqualityDeletes",
+      "totalPositionalDeletes"
+    };
+
+    for (String metric : zeroMetrics) {
+      assertThat(metricsMap)
+          .hasEntrySatisfying(metric, m -> 
assertThat(m.value()).as(metric).isEqualTo(0));
+    }
+  }
+
+  @TestTemplate
+  public void testDeleteMetrics() throws NoSuchTableException {
+    sql(
+        "CREATE TABLE %s (id BIGINT) USING iceberg TBLPROPERTIES 
('format-version'='2', 'write.delete.mode'='merge-on-read')",

Review Comment:
   The metrics should work across different format versions or not? My point is 
why we're limiting ourselves to a format version that isn't the latest one?



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