the list of columns separated by commas of a dictionary table table

I use the following question.

CONNECT_BY_ROOT SELECT table_name TopLevel, level,
connect_by_isleaf IS_Node_leaf,
substr (SYS_CONNECT_BY_PATH (column_name, ','), 2) column_name
Of all_tab_cols
where connect_by_isleaf = 1
and column_id < (select max (column_id) + 1 all_tab_cols
where table_name = 'Table_test')
and column_id > (select min (column_id) - all_tab_cols 1
where table_name = 'Table_test')
START WITH table_name = "Table_test."
CONNECT BY PRIOR column_id = nocycle (column_id - 1).
AND table_name = "Table_test."

The only problem with this query is that it goes into infinite loop. Can someone suggest a better solution?

Why you ask all_tab_cols, I think will realize you that it will pull all tables in your database.

If you want to retrieve the name of the table and the columns (separated by commas) your schema, you must query user_tab_cols.

and here is the sql code

select table_name,ltrim(sys_Connect_by_path(column_name,','),',') column_names
from
(select table_name,column_name,row_number() over (partition by table_name order by column_id) rn
from user_tab_cols)
where connect_by_isleaf = 1
start with rn=1
connect by prior rn=rn-1 and prior table_name = table_name
/

Or, you can use all_tab_cols to query a specific table by passing the name of the table and the name of the owner

PRAZY@11gR1> desc test
 Name
 -------------------------------------------
 NUM
 NUM2

PRAZY@11gR1>
select table_name,ltrim(sys_Connect_by_path(column_name,','),',') column_names
from
(select table_name,column_name,row_number() over (partition by table_name order by column_id) rn
from all_tab_cols
where owner='PRAZY' and
table_name = 'TEST')
where connect_by_isleaf = 1
start with rn=1
connect by prior rn=rn-1 and prior table_name = table_name
/
PRAZY@11gR1> /

TABLE_NAME                     COLUMN_NAMES
------------------------------ ----------------------------------------
TEST                           NUM,NUM2

Elapsed: 00:00:00.01

HTH,
Prazy

Published by: Prazy on April 28, 2010 10:23

Tags: Database

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