fix: restore IgnoreCometNativeDataFusion tags for 4 parquet tests in 3.5.8.diff

Regenerated diff from Spark v3.5.8 checkout to restore tags that were
accidentally removed when the diff was edited directly.

Author: andygrove

dev/diffs/3.5.8.diff

@@ -2155,10 +2155,30 @@ index 8e88049f51e..b713ccddfcb 100644
          case _ =>
            throw new AnalysisException("Can not match ParquetTable in the query.")
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala
-index 8ed9ef1630e..eed2a6f5ad5 100644
+index 8ed9ef1630e..a865928c1b2 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala
-@@ -1345,7 +1345,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+@@ -1064,7 +1064,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+     }
+   }
+ 
+-  test("SPARK-35640: read binary as timestamp should throw schema incompatible error") {
++  test("SPARK-35640: read binary as timestamp should throw schema incompatible error",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     val data = (1 to 4).map(i => Tuple1(i.toString))
+     val readSchema = StructType(Seq(StructField("_1", DataTypes.TimestampType)))
+ 
+@@ -1075,7 +1076,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+     }
+   }
+ 
+-  test("SPARK-35640: int as long should throw schema incompatible error") {
++  test("SPARK-35640: int as long should throw schema incompatible error",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     val data = (1 to 4).map(i => Tuple1(i))
+     val readSchema = StructType(Seq(StructField("_1", DataTypes.LongType)))
+ 
+@@ -1345,7 +1347,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
      }
    }
 
@@ -2169,10 +2189,20 @@ index 8ed9ef1630e..eed2a6f5ad5 100644
        checkAnswer(
          // "fruit" column in this file is encoded using DELTA_LENGTH_BYTE_ARRAY.
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
-index f6472ba3d9d..18295e0b0f0 100644
+index f6472ba3d9d..7f00caf5063 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
-@@ -998,7 +998,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+@@ -185,7 +185,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+     }
+   }
+ 
+-  test("SPARK-36182: can't read TimestampLTZ as TimestampNTZ") {
++  test("SPARK-36182: can't read TimestampLTZ as TimestampNTZ",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     val data = (1 to 1000).map { i =>
+       val ts = new java.sql.Timestamp(i)
+       Row(ts)
+@@ -998,7 +999,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
      }
    }
 
@@ -2182,7 +2212,7 @@ index f6472ba3d9d..18295e0b0f0 100644
      withAllParquetReaders {
        withTempPath { path =>
          // Repeated values for dictionary encoding.
-@@ -1051,7 +1052,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+@@ -1051,7 +1053,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
      testMigration(fromTsType = "TIMESTAMP_MICROS", toTsType = "INT96")
    }
 
@@ -2192,7 +2222,7 @@ index f6472ba3d9d..18295e0b0f0 100644
      def readParquet(schema: String, path: File): DataFrame = {
        spark.read.schema(schema).parquet(path.toString)
      }
-@@ -1067,7 +1069,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+@@ -1067,7 +1070,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
          checkAnswer(readParquet(schema, path), df)
        }
 
@@ -2202,7 +2232,7 @@ index f6472ba3d9d..18295e0b0f0 100644
          val schema1 = "a DECIMAL(3, 2), b DECIMAL(18, 3), c DECIMAL(37, 3)"
          checkAnswer(readParquet(schema1, path), df)
          val schema2 = "a DECIMAL(3, 0), b DECIMAL(18, 1), c DECIMAL(37, 1)"
-@@ -1089,7 +1092,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+@@ -1089,7 +1093,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
        val df = sql(s"SELECT 1 a, 123456 b, ${Int.MaxValue.toLong * 10} c, CAST('1.2' AS BINARY) d")
        df.write.parquet(path.toString)
 
@@ -2212,7 +2242,17 @@ index f6472ba3d9d..18295e0b0f0 100644
          checkAnswer(readParquet("a DECIMAL(3, 2)", path), sql("SELECT 1.00"))
          checkAnswer(readParquet("b DECIMAL(3, 2)", path), Row(null))
          checkAnswer(readParquet("b DECIMAL(11, 1)", path), sql("SELECT 123456.0"))
-@@ -1148,7 +1152,7 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+@@ -1133,7 +1138,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+     }
+   }
+ 
+-  test("row group skipping doesn't overflow when reading into larger type") {
++  test("row group skipping doesn't overflow when reading into larger type",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     withTempPath { path =>
+       Seq(0).toDF("a").write.parquet(path.toString)
+       // The vectorized and non-vectorized readers will produce different exceptions, we don't need
+@@ -1148,7 +1154,7 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
              .where(s"a < ${Long.MaxValue}")
              .collect()
          }