RussellSpitzer commented on code in PR #11419:
URL: https://github.com/apache/iceberg/pull/11419#discussion_r1828008335
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spark/v3.3/spark/src/test/java/org/apache/iceberg/spark/source/TestDataFrameWriterV2.java:
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@@ -226,4 +229,100 @@ public void testWriteWithCaseSensitiveOption() throws
NoSuchTableException, Pars
fields = Spark3Util.loadIcebergTable(sparkSession,
tableName).schema().asStruct().fields();
Assert.assertEquals(4, fields.size());
}
+
+ @Test
+ public void testMergeSchemaIgnoreDowncast() throws Exception {
+ //// test long to int ignore case
+ 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(
Review Comment:
I'm slightly worried this will be true regardless of the types. I think ...
haven't tested this, that 1L and 1 will pass AssertEquals in our rows.
Probably we should also assert on schema
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