nastra commented on code in PR #11419:
URL: https://github.com/apache/iceberg/pull/11419#discussion_r1839926221
##########
spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/source/TestDataFrameWriterV2.java:
##########
@@ -244,4 +247,132 @@ public void testMergeSchemaSparkConfiguration() throws
Exception {
row(4L, "d", 140000.56F)),
sql("select * from %s order by id", tableName));
}
+
+ @TestTemplate
+ public void testMergeSchemaIgnoreCastingLongToInt() throws Exception {
+ sql(
+ "ALTER TABLE %s SET TBLPROPERTIES ('%s'='true')",
+ tableName, TableProperties.SPARK_WRITE_ACCEPT_ANY_SCHEMA);
+
+ Dataset<Row> bigintDF =
+ jsonToDF(
+ "id bigint, data string",
+ "{ \"id\": 1, \"data\": \"a\" }",
+ "{ \"id\": 2, \"data\": \"b\" }");
+
+ bigintDF.writeTo(tableName).append();
+
+ assertEquals(
+ "Should have initial rows with long column",
+ ImmutableList.of(row(1L, "a"), row(2L, "b")),
+ sql("select * from %s order by id", tableName));
+
+ Dataset<Row> intDF =
+ jsonToDF(
+ "id int, data string",
+ "{ \"id\": 3, \"data\": \"c\" }",
+ "{ \"id\": 4, \"data\": \"d\" }");
+
+ assertThatCode(() -> intDF.writeTo(tableName).option("merge-schema",
"true").append())
+ .doesNotThrowAnyException();
+
+ assertEquals(
+ "Should include new rows with unchanged long column type",
+ ImmutableList.of(row(1L, "a"), row(2L, "b"), row(3L, "c"), row(4L,
"d")),
+ sql("select * from %s order by id", tableName));
+
+ // verify the column type did not change
+ Types.NestedField idField =
+ Spark3Util.loadIcebergTable(spark, tableName).schema().findField("id");
+ assertThat(idField.type().typeId().equals(Type.TypeID.LONG));
Review Comment:
please also update all the other tests that are affected
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