mbutrovich commented on code in PR #3407:
URL: https://github.com/apache/datafusion-comet/pull/3407#discussion_r2775838067


##########
spark/src/test/scala/org/apache/spark/sql/benchmark/CometIcebergReadBenchmark.scala:
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@@ -0,0 +1,81 @@
+/*
+ * 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.spark.sql.benchmark
+
+import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.sql.types._
+
+import org.apache.comet.CometConf
+
+/**
+ * Benchmark to measure Comet Iceberg read performance. To run this benchmark:
+ * `SPARK_GENERATE_BENCHMARK_FILES=1 make
+ * benchmark-org.apache.spark.sql.benchmark.CometIcebergReadBenchmark` Results 
will be written to
+ * "spark/benchmarks/CometIcebergReadBenchmark-**results.txt".
+ */
+object CometIcebergReadBenchmark extends CometBenchmarkBase {
+
+  def icebergScanBenchmark(values: Int, dataType: DataType): Unit = {
+    val sqlBenchmark =
+      new Benchmark(s"SQL Single ${dataType.sql} Iceberg Column Scan", values, 
output = output)
+
+    withTempPath { dir =>
+      withTempTable("icebergTable") {
+        prepareIcebergTable(
+          dir,
+          spark.sql(s"SELECT CAST(value as ${dataType.sql}) id FROM $tbl"),
+          "icebergTable")
+
+        val query = dataType match {
+          case BooleanType => "sum(cast(id as bigint))"
+          case _ => "sum(id)"
+        }
+
+        sqlBenchmark.addCase("SQL Iceberg - Spark") { _ =>
+          withSQLConf(
+            "spark.memory.offHeap.enabled" -> "true",
+            "spark.memory.offHeap.size" -> "10g") {
+            spark.sql(s"select $query from icebergTable").noop()
+          }
+        }
+
+        sqlBenchmark.addCase("SQL Iceberg - Comet Iceberg-Rust") { _ =>

Review Comment:
   We can just say Comet, I guess.



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