Be return column order inconsistent

[hongli-my]

table 's column order is : order_id1, order_id2, order_id3, order_id4, order_time

spark-sql> select order_id2, order_id1 from test1;
22/11/19 22:51:48 WARN ScalaValueReader: Open scan result is, contextId: 6910e3ad-3efb-4dcb-aab3-7984ac3c1a6d, schema: Schema{status=0, properties=[Field{name='order_id1', type='INT', comment='', precision=0, scale=0}, Field{name='order_id2', type='BIGINT', comment='', precision=0, scale=0}]}.
===== filedField{name='order_id1', type='INT', comment='', precision=0, scale=0}  mt:INT=== cr:order_id1
===== filedField{name='order_id2', type='BIGINT', comment='', precision=0, scale=0}  mt:BIGINT=== cr:order_id2
22/11/19 22:51:48 ERROR Executor: Exception in task 0.0 in stage 3.0 (TID 3)
java.lang.RuntimeException: Error while encoding: java.lang.RuntimeException: java.lang.Integer is not a valid external type for schema of bigint
if (assertnotnull(input[0, org.apache.spark.sql.Row, true]).isNullAt) null else validateexternaltype(getexternalrowfield(assertnotnull(input[0, org.apache.spark.sql.Row, true]), 0, order_id2), LongType) AS order_id2#30L
if (assertnotnull(input[0, org.apache.spark.sql.Row, true]).isNullAt) null else validateexternaltype(getexternalrowfield(assertnotnull(input[0, org.apache.spark.sql.Row, true]), 1, order_id1), IntegerType) AS order_id1#31