add tests for Map and Array

spark/src/test/scala/org/apache/comet/CometExpressionSuite.scala

@@ -2276,15 +2276,16 @@ class CometExpressionSuite extends CometTestBase with AdaptiveSparkPlanHelper {
     }
   }
 
-  test("read map[int, int] from parquet") {
+  ignore("read map[int, int] from parquet") {
     withTempPath { dir =>
       // create input file with Comet disabled
       withSQLConf(CometConf.COMET_ENABLED.key -> "false") {
         val df = spark
           .range(5)
           // Spark does not allow null as a key but does allow null as a
           // value, and the entire map be null
-          .select(when(col("id") > 1, map(col("id"), when(col("id") > 2, col("id")))).alias("map1"))
+          .select(
+            when(col("id") > 1, map(col("id"), when(col("id") > 2, col("id")))).alias("map1"))
         df.write.parquet(dir.toString())
       }
 
@@ -2299,6 +2300,28 @@ class CometExpressionSuite extends CometTestBase with AdaptiveSparkPlanHelper {
     }
   }
 
+  ignore("read array[int] from parquet") {
+    withTempPath { dir =>
+      // create input file with Comet disabled
+      withSQLConf(CometConf.COMET_ENABLED.key -> "false") {
+        val df = spark
+          .range(5)
+          // Spark does not allow null as a key but does allow null as a
+          // value, and the entire map be null
+          .select(when(col("id") > 1, sequence(lit(0), col("id") * 2)).alias("array1"))
+        df.write.parquet(dir.toString())
+      }
+
+      Seq("", "parquet").foreach { v1List =>
+        withSQLConf(SQLConf.USE_V1_SOURCE_LIST.key -> v1List) {
+          val df = spark.read.parquet(dir.toString())
+          checkSparkAnswerAndOperator(df.select("array1"))
+          checkSparkAnswerAndOperator(df.select(element_at(col("array1"), lit(1))))
+        }
+      }
+    }
+  }
+
   test("CreateArray") {
     Seq(true, false).foreach { dictionaryEnabled =>
       withTempDir { dir =>