Hive
这是基本查询，如果您愿意，可以从这里获取它

select  IDX
       ,IDY
       ,min(time)                           as from_time
       ,max(time)                           as to_time
       ,concat_ws(',',collect_list (Text))  as text

from   (select  *
               ,row_number () over 
                (
                    partition by    IDX
                    order by        Time
                )   as rn
               ,row_number () over 
                (
                    partition by    IDX,IDY
                    order by        Time
                )   as rn_IDY

        from    mytable
        ) t

group by    IDX,IDY
           ,rn - rn_IDY

order by    IDX,from_time

+------+------+-----------+---------+-------------+
| idx  | idy  | from_time | to_time |    text     |
+------+------+-----------+---------+-------------+
| idx1 | idy1 | t1        | t1      | text1       |
| idx1 | idy2 | t2        | t3      | text2,text3 |
| idx1 | idy1 | t4        | t4      | text4       |
| idx2 | idy3 | t5        | t6      | text5,text6 |
| idx2 | idy1 | t7        | t7      | text7       |
| idx2 | idy3 | t8        | t8      | text8       |
+------+------+-----------+---------+-------------+

急板地

select  array_join(array_agg (Text),',')   as text

from   (select  *
               ,row_number () over 
                (
                    partition by    IDX
                    order by        Time
                )   as rn
               ,row_number () over 
                (
                    partition by    IDX,IDY
                    order by        Time
                )   as rn_IDY

        from    mytable
        ) t

group by    IDX,IDY
           ,rn - rn_IDY

order by    IDX,min(time)
;

+-------------+
|    text     |
+-------------+
| text1       |
| text2,text3 |
| text4       |
| text5,text6 |
| text7       |
| text8       |
+-------------+