fix: align native_datafusion Parquet schema checks with Spark's vectorized reader

common/src/main/java/org/apache/comet/parquet/AbstractColumnReader.java

@@ -128,7 +128,7 @@ public void close() {
 
   protected void initNative() {
     LOG.debug("initializing the native column reader");
-    DataType readType = (boolean) CometConf.COMET_SCHEMA_EVOLUTION_ENABLED().get() ? type : null;
+    DataType readType = CometConf.COMET_SCHEMA_EVOLUTION_ENABLED() ? type : null;
     boolean useLegacyDateTimestampOrNTZ =
         useLegacyDateTimestamp || type == TimestampNTZType$.MODULE$;
     nativeHandle =

common/src/main/java/org/apache/comet/parquet/TypeUtil.java

@@ -130,7 +130,7 @@ public static void checkParquetType(ColumnDescriptor descriptor, DataType sparkT
     PrimitiveType.PrimitiveTypeName typeName = descriptor.getPrimitiveType().getPrimitiveTypeName();
     LogicalTypeAnnotation logicalTypeAnnotation =
         descriptor.getPrimitiveType().getLogicalTypeAnnotation();
-    boolean allowTypePromotion = (boolean) CometConf.COMET_SCHEMA_EVOLUTION_ENABLED().get();
+    boolean allowTypePromotion = CometConf.COMET_SCHEMA_EVOLUTION_ENABLED();
 
     if (sparkType instanceof NullType) {
       return;
@@ -150,8 +150,8 @@ && isUnsignedIntTypeMatched(logicalTypeAnnotation, 32)) {
           // fallbacks. We read them as long values.
           return;
         } else if (sparkType == DataTypes.LongType && allowTypePromotion) {
-          // In Comet we allow schema evolution from int to long, if
-          // `spark.comet.schemaEvolution.enabled` is enabled.
+          // INT32 -> LONG widening is allowed when Comet's per-Spark-version
+          // type-promotion default permits it (Spark 4.x). See ShimCometConf.
           return;
         } else if (sparkType == DataTypes.ByteType || sparkType == DataTypes.ShortType) {
           return;
@@ -198,8 +198,8 @@ && isUnsignedIntTypeMatched(logicalTypeAnnotation, 64)) {
         break;
       case FLOAT:
         if (sparkType == DataTypes.FloatType) return;
-        // In Comet we allow schema evolution from float to double, if
-        // `spark.comet.schemaEvolution.enabled` is enabled.
+        // FLOAT -> DOUBLE widening is allowed when Comet's per-Spark-version
+        // type-promotion default permits it (Spark 4.x). See ShimCometConf.
         if (sparkType == DataTypes.DoubleType && allowTypePromotion) return;
         break;
       case DOUBLE:

common/src/main/scala/org/apache/comet/CometConf.scala

@@ -727,16 +727,6 @@ object CometConf extends ShimCometConf {
     .booleanConf
     .createWithDefault(true)
 
-  val COMET_SCHEMA_EVOLUTION_ENABLED: ConfigEntry[Boolean] =
-    conf("spark.comet.schemaEvolution.enabled")
-      .internal()
-      .category(CATEGORY_SCAN)
-      .doc("Whether to enable schema evolution in Comet. For instance, promoting a integer " +
-        "column to a long column, a float column to a double column, etc. This is automatically" +
-        "enabled when reading from Iceberg tables.")
-      .booleanConf
-      .createWithDefault(COMET_SCHEMA_EVOLUTION_ENABLED_DEFAULT)
-
   val COMET_ENABLE_PARTIAL_HASH_AGGREGATE: ConfigEntry[Boolean] =
     conf("spark.comet.testing.aggregate.partialMode.enabled")
       .internal()

common/src/main/spark-3.x/org/apache/comet/shims/ShimCometConf.scala

@@ -20,5 +20,12 @@
 package org.apache.comet.shims
 
 trait ShimCometConf {
-  protected val COMET_SCHEMA_EVOLUTION_ENABLED_DEFAULT = false
+
+  /**
+   * Whether Comet's Parquet scan paths allow widening type promotions (e.g. INT32 → INT64, FLOAT
+   * → DOUBLE). Spark 3.x's vectorized reader rejects these on read, so Comet matches by
+   * defaulting to false on 3.x. Reads from the deprecated `spark.comet.schemaEvolution.enabled`
+   * SQL conf were removed in favor of this per-version constant; see #4298.
+   */
+  val COMET_SCHEMA_EVOLUTION_ENABLED: Boolean = false
 }

common/src/main/spark-4.x/org/apache/comet/shims/ShimCometConf.scala

@@ -20,5 +20,12 @@
 package org.apache.comet.shims
 
 trait ShimCometConf {
-  protected val COMET_SCHEMA_EVOLUTION_ENABLED_DEFAULT = true
+
+  /**
+   * Whether Comet's Parquet scan paths allow widening type promotions (e.g. INT32 → INT64, FLOAT
+   * → DOUBLE, INT32 → DOUBLE). Spark 4.x's vectorized reader accepts these by default. Reads from
+   * the deprecated `spark.comet.schemaEvolution.enabled` SQL conf were removed in favor of this
+   * per-version constant; see #4298.
+   */
+  val COMET_SCHEMA_EVOLUTION_ENABLED: Boolean = true
 }

dev/diffs/3.4.3.diff

@@ -1,5 +1,5 @@
 diff --git a/pom.xml b/pom.xml
-index d3544881af1..d075572c5b3 100644
+index d3544881af1..1126f287096 100644
 --- a/pom.xml
 +++ b/pom.xml
 @@ -148,6 +148,8 @@
@@ -1969,7 +1969,7 @@ index 07e2849ce6f..3e73645b638 100644
        ParquetOutputFormat.WRITER_VERSION -> ParquetProperties.WriterVersion.PARQUET_2_0.toString
      )
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
-index 104b4e416cd..b8af360fa14 100644
+index 104b4e416cd..4adb273170a 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 @@ -38,6 +38,7 @@ import org.apache.parquet.schema.MessageType
@@ -2121,28 +2121,10 @@ index 104b4e416cd..b8af360fa14 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 8670d95c65e..9411af57a26 100644
+index 8670d95c65e..b624c3811dd 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
-@@ -41,6 +41,7 @@ import org.apache.parquet.schema.{MessageType, MessageTypeParser}
-
- import org.apache.spark.{SPARK_VERSION_SHORT, SparkException, TestUtils}
- import org.apache.spark.sql._
-+import org.apache.spark.sql.IgnoreCometNativeDataFusion
- import org.apache.spark.sql.catalyst.{InternalRow, ScalaReflection}
- import org.apache.spark.sql.catalyst.expressions.{GenericInternalRow, UnsafeRow}
- import org.apache.spark.sql.catalyst.util.DateTimeUtils
-@@ -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)))
-
-@@ -1335,7 +1337,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+@@ -1335,7 +1335,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
      }
    }
 
@@ -2153,7 +2135,7 @@ index 8670d95c65e..9411af57a26 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 29cb224c878..ee5a87fa200 100644
+index 29cb224c878..1f7a0ebf0bd 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
 @@ -27,6 +27,7 @@ import org.apache.parquet.hadoop.ParquetOutputFormat
@@ -2309,7 +2291,7 @@ index 5c0b7def039..151184bc98c 100644
      assert(fileSourceScanSchemata.size === expectedSchemaCatalogStrings.size,
        s"Found ${fileSourceScanSchemata.size} file sources in dataframe, " +
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
-index bf5c51b89bb..dc3aac281c3 100644
+index bf5c51b89bb..7e143a0e0f9 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
 @@ -27,6 +27,7 @@ import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName
@@ -2336,7 +2318,7 @@ index bf5c51b89bb..dc3aac281c3 100644
 
 -  test("schema mismatch failure error message for parquet vectorized reader") {
 +  test("schema mismatch failure error message for parquet vectorized reader",
-+      IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
++      IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/4316")) {
      withTempPath { dir =>
        val e = testSchemaMismatch(dir.getCanonicalPath, vectorizedReaderEnabled = true)
        assert(e.getCause.isInstanceOf[SparkException])
@@ -2882,7 +2864,7 @@ index abe606ad9c1..2d930b64cca 100644
      val tblTargetName = "tbl_target"
      val tblSourceQualified = s"default.$tblSourceName"
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
-index dd55fcfe42c..99bc018008a 100644
+index dd55fcfe42c..cd18a23d4de 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
 @@ -27,6 +27,7 @@ import scala.concurrent.duration._
@@ -2948,7 +2930,7 @@ index dd55fcfe42c..99bc018008a 100644
    protected override def withSQLConf(pairs: (String, String)*)(f: => Unit): Unit = {
      SparkSession.setActiveSession(spark)
      super.withSQLConf(pairs: _*)(f)
-@@ -434,6 +487,8 @@ private[sql] trait SQLTestUtilsBase
+@@ -434,6 +469,8 @@ private[sql] trait SQLTestUtilsBase
      val schema = df.schema
      val withoutFilters = df.queryExecution.executedPlan.transform {
        case FilterExec(_, child) => child
@@ -2958,7 +2940,7 @@ index dd55fcfe42c..99bc018008a 100644
 
      spark.internalCreateDataFrame(withoutFilters.execute(), schema)
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
-index ed2e309fa07..a5ea58146ad 100644
+index ed2e309fa07..25b798d2c1c 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
 @@ -74,6 +74,20 @@ trait SharedSparkSessionBase
@@ -3071,7 +3053,7 @@ index a902cb3a69e..800a3acbe99 100644
 
    test("SPARK-4963 DataFrame sample on mutable row return wrong result") {
 diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
-index 07361cfdce9..97dab2a3506 100644
+index 07361cfdce9..4fdbcd18656 100644
 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
 +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
 @@ -55,25 +55,41 @@ object TestHive

dev/diffs/3.5.8.diff

@@ -1,5 +1,5 @@
 diff --git a/pom.xml b/pom.xml
-index edd2ad57880..d5273840330 100644
+index edd2ad57880..15a0947abf4 100644
 --- a/pom.xml
 +++ b/pom.xml
 @@ -152,6 +152,8 @@
@@ -1958,7 +1958,7 @@ index 07e2849ce6f..3e73645b638 100644
        ParquetOutputFormat.WRITER_VERSION -> ParquetProperties.WriterVersion.PARQUET_2_0.toString
      )
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
-index 8e88049f51e..20d7ef7b1bc 100644
+index 8e88049f51e..097c518a19a 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 @@ -1095,7 +1095,11 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
@@ -2104,20 +2104,10 @@ index 8e88049f51e..20d7ef7b1bc 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..71e22972a47 100644
+index 8ed9ef1630e..eed2a6f5ad5 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
-@@ -1075,7 +1075,8 @@ 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 +1346,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+@@ -1345,7 +1345,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
      }
    }
 
@@ -2128,7 +2118,7 @@ index 8ed9ef1630e..71e22972a47 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..5ea2d938664 100644
+index f6472ba3d9d..0d54d2f0410 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
 @@ -185,7 +185,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
@@ -2276,7 +2266,7 @@ index 5c0b7def039..151184bc98c 100644
      assert(fileSourceScanSchemata.size === expectedSchemaCatalogStrings.size,
        s"Found ${fileSourceScanSchemata.size} file sources in dataframe, " +
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
-index 3f47c5e506f..2ac0868407e 100644
+index 3f47c5e506f..80b7ef6c46a 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
 @@ -27,6 +27,7 @@ import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName
@@ -2303,7 +2293,7 @@ index 3f47c5e506f..2ac0868407e 100644
 
 -  test("schema mismatch failure error message for parquet vectorized reader") {
 +  test("schema mismatch failure error message for parquet vectorized reader",
-+      IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
++      IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/4316")) {
      withTempPath { dir =>
        val e = testSchemaMismatch(dir.getCanonicalPath, vectorizedReaderEnabled = true)
        assert(e.getCause.isInstanceOf[SparkException])
@@ -2834,7 +2824,7 @@ index abe606ad9c1..2d930b64cca 100644
      val tblTargetName = "tbl_target"
      val tblSourceQualified = s"default.$tblSourceName"
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
-index e937173a590..7d20538bc68 100644
+index e937173a590..3134078a122 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
 @@ -27,6 +27,7 @@ import scala.concurrent.duration._
@@ -2900,7 +2890,7 @@ index e937173a590..7d20538bc68 100644
    protected override def withSQLConf(pairs: (String, String)*)(f: => Unit): Unit = {
      SparkSession.setActiveSession(spark)
      super.withSQLConf(pairs: _*)(f)
-@@ -435,6 +488,8 @@ private[sql] trait SQLTestUtilsBase
+@@ -435,6 +470,8 @@ private[sql] trait SQLTestUtilsBase
      val schema = df.schema
      val withoutFilters = df.queryExecution.executedPlan.transform {
        case FilterExec(_, child) => child
@@ -2910,7 +2900,7 @@ index e937173a590..7d20538bc68 100644
 
      spark.internalCreateDataFrame(withoutFilters.execute(), schema)
 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
-index ed2e309fa07..a5ea58146ad 100644
+index ed2e309fa07..25b798d2c1c 100644
 --- a/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
 +++ b/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
 @@ -74,6 +74,20 @@ trait SharedSparkSessionBase
@@ -3023,7 +3013,7 @@ index 6160c3e5f6c..0956d7d9edc 100644
 
    test("SPARK-4963 DataFrame sample on mutable row return wrong result") {
 diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
-index 1d646f40b3e..5babe505301 100644
+index 1d646f40b3e..df108c17c42 100644
 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
 +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
 @@ -53,25 +53,41 @@ object TestHive