Doubt in a query ( Urgent )

Question

CREATE TABLE TEST_TABLE
CHECK_ID NUMBER,
VALUE_VC VARCHAR2(24),
VALUE_NU NUMBER,
PHONE_NO NUMBER
INSERT INTO TEST_TABLE VALUES( 1, 'XYZ', NULL, 124678325 )
INSERT INTO TEST_TABLE VALUES( 2, NULL, 11, 124678325 )
INSERT INTO TEST_TABLE VALUES( 3, NULL, 12, 124678325 )
INSERT INTO TEST_TABLE VALUES( 4, NULL, 13, 124678325 )
COMMIT
INSERT INTO TEST_TABLE VALUES( 1, 'ABC', NULL, 938702910 )
INSERT INTO TEST_TABLE VALUES( 2, NULL, 14, 938702910 )
INSERT INTO TEST_TABLE VALUES( 3, NULL, 15, 938702910 )
INSERT INTO TEST_TABLE VALUES( 4, NULL, 16, 938702910 )
SELECT * FROM TEST_TABLE
DELETE FROM TEST_TABLE
COMMIT
I AM TRYING OT WRITE A SQL STATMENT WHICH WILL RETURN MY OUPUT AS BELOW
PHONE NU VALUE_VC VALUE_NU VALUE_NU_2 VALUE_NU_3
124678325 'XYZ' 11 12 13
938702910 'ABC' 14 15 16
cAN ANY ONE GIVE ME ANY SOLUTION

Answer 1

SQL> select * from test_table;
  CHECK_ID VALUE_VC                   VALUE_NU   PHONE_NO
         1 XYZ                                  124678325
         2                                  11  124678325
         3                                  12  124678325
         4                                  13  124678325
         1 ABC                                  938702910
         2                                  14  938702910
         3                                  15  938702910
         4                                  16  938702910
8 rows selected
SQL>
SQL> SELECT     phone_no, MAX ( SYS_CONNECT_BY_PATH ( value_vc, ' ' )) value_vc
  2           , MAX ( SYS_CONNECT_BY_PATH ( value_nu, ' ' )) value_nu
  3        FROM ( SELECT phone_no, value_vc, value_nu
  4                    , ROW_NUMBER ( ) OVER ( PARTITION BY phone_no ORDER BY value_nu )
  5                                                                             rn
  6                FROM test_table )
  7  START WITH rn = 1
  8  CONNECT BY PRIOR rn = rn - 1 AND PRIOR phone_no = phone_no
  9    GROUP BY phone_no
10    ORDER BY phone_no
11  /
  PHONE_NO VALUE_VC   VALUE_NU
124678325     XYZ     11 12 13
938702910     ABC     14 15 16
SQL> If you want them in different columns, then use some regular expression to seperate them