zhangbutao commented on code in PR #4119:
URL: https://github.com/apache/hive/pull/4119#discussion_r1138136745


##########
iceberg/iceberg-handler/src/test/results/positive/query_iceberg_metadata_of_partitioned_table.q.out:
##########
@@ -341,6 +341,134 @@ POSTHOOK: type: QUERY
 POSTHOOK: Input: default@ice_meta_3
 POSTHOOK: Output: hdfs://### HDFS PATH ###
 
[{"contains_null":false,"contains_nan":false,"lower_bound":"four","upper_bound":"two"},{"contains_null":false,"contains_nan":false,"lower_bound":"Friday","upper_bound":"Wednesday"}]
+PREHOOK: query: select * from default.ice_meta_2.data_files
+PREHOOK: type: QUERY
+PREHOOK: Input: default@ice_meta_2
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: select * from default.ice_meta_2.data_files
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@ice_meta_2
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+0      hdfs://### HDFS PATH ###        ORC     0       {"b":"four"}    1       
350     {1:6,2:13}      {1:1,2:1}       {1:0,2:0}       {}      {1:     
������,2:four}  {1:     ������,2:four}  NULL    [3]     NULL    0
+0      hdfs://### HDFS PATH ###        ORC     0       {"b":"three"}   3       
366     {1:8,2:19}      {1:3,2:3}       {1:0,2:0}       {}      
{1:������,2:three}     {1:������,2:three}     NULL    [3]     NULL    0

Review Comment:
   > In general looks good. @zhangbutao can you check what is this problem, one 
out files ain't visible <img alt="image" width="1770" 
src="https://user-images.githubusercontent.com/25608848/225461206-9e15d8a2-1cf5-48bf-8772-806df2f62b0c.png";>
   
   This problem was introduced by  original PR 
https://github.com/apache/hive/pull/2589/files#diff-f88561b4ed24634e3b00be85d9b75b58aba93d8455f0d58bb6ec3a201abecb82.
 I think it is probaly due to the github can not display some complex column 
type, e.g `map<int,binary>`. 
   
   
   
   > are these numbers 350,366 and all filesizes? if so we have seen them in 
past that sometimes they contribute to flakiness, any possibility if we can 
mask these values?
   
    I chosed some fixed column values to avoid flakiness.



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