pl/sql - can collection loop through column names? - sql

Question

The output from the below code is:
|LAT|MISC|SID|NO
MIN_LENGTH|1|2|1|1
MAX_LENGTH|6|6|4|2
The output is as I expect, but is there anyway to loop through the columns using an index (ie. j) instead of doing RESULTS(I).MAX_LENGTH , RESULTS(I).MAX_LENGTH etc ? The concern is that when adding extra columns to the 'R_RESULT_REC' record, another loop is required.
set serveroutput on
DECLARE
TYPE R_RESULT_REC IS RECORD
(COL_NAME VARCHAR2(100),
MIN_LENGTH NUMBER,
MAX_LENGTH NUMBER
);
TYPE tr_RESULT IS TABLE OF R_RESULT_REC;
RESULTS TR_RESULT := TR_RESULT();
v_counter NUMBER := 1;
BEGIN
FOR J IN (SELECT DISTINCT COLUMN_NAME FROM ALL_TAB_COLUMNS
WHERE OWNER = 'SYSTEM'
and TABLE_NAME = 'SPECCHAR')
LOOP
RESULTS.EXTEND;
RESULTS(V_COUNTER).COL_NAME := J.COLUMN_NAME;
EXECUTE IMMEDIATE 'SELECT MIN(LENGTH('||J.COLUMN_NAME||')),
MAX(LENGTH('||J.COLUMN_NAME||'))
FROM '||'SYSTEM'||'.'||'SPECCHAR' INTO
RESULTS(V_COUNTER).MIN_LENGTH,
RESULTS(V_COUNTER).MAX_LENGTH;
V_COUNTER := V_COUNTER + 1;
END LOOP;
FOR I IN RESULTS.FIRST .. RESULTS.LAST LOOP
IF I = RESULTS.LAST THEN
DBMS_OUTPUT.PUT_LINE(RESULTS(I).COL_NAME);
ELSIF I = RESULTS.FIRST THEN
DBMS_OUTPUT.PUT(' |'||RESULTS(I).COL_NAME||'|');
ELSE
DBMS_OUTPUT.PUT(RESULTS(I).COL_NAME||'|');
END IF ;
END LOOP;
FOR I IN RESULTS.FIRST .. RESULTS.LAST LOOP
IF I = RESULTS.LAST THEN
DBMS_OUTPUT.PUT_LINE(RESULTS(I).MIN_LENGTH);
ELSIF I = RESULTS.FIRST THEN
DBMS_OUTPUT.PUT('MIN_LENGTH|'||RESULTS(I).MIN_LENGTH||'|');
ELSE
DBMS_OUTPUT.PUT(RESULTS(I).MIN_LENGTH||'|');
END IF ;
END LOOP;
FOR I IN RESULTS.FIRST .. RESULTS.LAST LOOP
IF I = RESULTS.LAST THEN
DBMS_OUTPUT.PUT_LINE(RESULTS(I).MAX_LENGTH);
ELSIF I = RESULTS.FIRST THEN
DBMS_OUTPUT.PUT('MAX_LENGTH|'||RESULTS(I).MAX_LENGTH||'|');
ELSE
DBMS_OUTPUT.PUT(RESULTS(I).MAX_LENGTH||'|');
END IF ;
END LOOP;
end;

Answer 1

This uses DBMS_SQL, so it's pretty snarly to read. The main reason I saw to use it was that I could get columnar descriptions of a SQL statement and to a buffer-based, not object-based fetch.
Rather than making calls to DBMS_OUTPUT during the processing, it builds a table of records for output, using associative arrays for simplicity.
It could further be refined to have an array or parsable list of functions to apply to each function, but that seems excess to current requirements. The nature of the code would require editing if new aggregation functions are being added.
Call overview (2c + a + s):
3 loops;
2 loops over column list (c),
1 loop over number of analytic functions (a).
1 SQL statement against table data (s).
OP's call overview (c*s + a + 1):
1 loop, executing a sql statement against table data per column (c*s)
a+1 loops, where a is the number of analytic functions
Test data:
1 select min(length(GP_ID)), max(length(GP_ID)),
2 min(length(GGP_ID)), max(length(GGP_ID)),
3 min(length(OBJECT_NAME)), max(length(OBJECT_NAME))
4* from AMUSCH.GP
SQL> /
MIN(LENGTH(GP_ID)) MAX(LENGTH(GP_ID)) MIN(LENGTH(GGP_ID))
MAX(LENGTH(GGP_ID)) MIN(LENGTH(OBJECT_NAME)) MAX(LENGTH(OBJECT_NAME))
1 7 1
4 9 41
Code:
declare
p_owner varchar2(30);
p_table_name varchar2(30);
TYPE OUTPUT_TAB_TYPE IS TABLE OF VARCHAR2(32767) index by binary_integer;
OUTPUT_TAB OUTPUT_TAB_TYPE;
l_columns_tab dbms_sql.desc_tab;
l_columns_cur integer;
l_columns_sql varchar2(32767);
l_columns_cnt number;
l_minmax_sql varchar2(32767);
l_minmax_cur integer;
l_minmax_tab dbms_sql.desc_tab;
l_minmax_cnt number;
l_fetch_ok number;
l_fetch_value number;
begin
p_owner := 'AMUSCH';
p_table_name := 'GP';
output_tab(1) := lpad(' ', 20, ' ');
output_tab(2) := lpad('MIN_LENGTH', 20, ' ');
output_tab(3) := lpad('MAX_LENGTH', 20, ' ');
l_columns_sql := 'select * from ' || p_owner || '.' || p_table_name ||
' where 1 = 0';
l_columns_cur := dbms_sql.open_cursor;
dbms_sql.parse (l_columns_cur, l_columns_sql, dbms_sql.native);
dbms_sql.describe_columns (l_columns_cur, l_columns_cnt, l_columns_tab);
-- build the min/max sql statement
l_minmax_sql := 'select ' ;
for i in 1..l_columns_cnt
loop
l_minmax_sql := l_minmax_sql ||
' min(length(' || l_columns_tab(i).col_name || ')), ';
l_minmax_sql := l_minmax_sql ||
' max(length(' || l_columns_tab(i).col_name || ')), ';
end loop;
l_minmax_sql := substr(l_minmax_sql, 1,
length(l_minmax_sql) - 2); -- trim trailing comma
l_minmax_sql := l_minmax_sql || ' from ' || p_owner || '.' || p_table_name;
l_minmax_cur := dbms_sql.open_cursor;
dbms_sql.parse (l_minmax_cur, l_minmax_sql, dbms_sql.native);
dbms_sql.describe_columns (l_minmax_cur, l_minmax_cnt, l_minmax_tab);
for i in 1..l_minmax_cnt
loop
dbms_sql.define_column(l_minmax_cur, i, l_fetch_value);
end loop;
l_fetch_ok := dbms_sql.execute(l_minmax_cur);
loop
l_fetch_ok := dbms_sql.fetch_rows(l_minmax_cur);
exit when l_fetch_ok = 0;
-- loop over the columns selected over
for i in 1..l_columns_cnt
loop
output_tab(1) := output_tab(1) || '|' || l_columns_tab(i).col_name;
dbms_sql.column_value(l_minmax_cur, (2*i-1), l_fetch_value);
output_tab(2) := output_tab(2) || '|' ||
lpad(l_fetch_value, length(l_columns_tab(i).col_name), ' ');
dbms_sql.column_value(l_minmax_cur, (2*i), l_fetch_value);
output_tab(3) := output_tab(3) || '|' ||
lpad(l_fetch_value, length(l_columns_tab(i).col_name), ' ');
end loop;
end loop;
if dbms_sql.is_open(l_minmax_cur) then
dbms_sql.close_cursor (l_minmax_cur);
end if;
if dbms_sql.is_open (l_columns_cur) then
dbms_sql.close_cursor (l_columns_cur);
end if;
for i in output_tab.first..output_tab.last
loop
dbms_output.put_line(output_tab(i));
end loop;
end;
/
Results:
|GP_ID|GGP_ID|OBJECT_NAME
MIN_LENGTH| 1| 1| 9
MAX_LENGTH| 7| 4| 41

Answer 2

If you want to use the DBMS_SQL package (which is sometimes very complex), then there is a DBMS_SQL.COLUMN_VALUE function that may work for you.
update:
Or even better: DBMS_SQL.DESC_REC
you can refer to:
http://docs.oracle.com/cd/B19306_01/appdev.102/b14258/d_sql.htm#i996963
notice example 8
I haven't tested it
update:
Perhaps what you really want is to loop on an Object type attributes and not a table column, so maybe you should try a different approach:
Make your type R_RESULT_REC an Object type in the DB and then you can loop on the query results:
SELECT attr_name
FROM user_type_attrs
WHERE type_name = 'R_RESULT_REC'
It's not like working with indexes but you still don't need to hard code the column names / type attributes
here is the code (based on yours):
CREATE OR REPLACE TYPE R_RESULT_REC AS OBJECT
(
COL_NAME VARCHAR2(100),
MIN_LENGTH NUMBER,
MAX_LENGTH NUMBER
);
/
and then:
DECLARE
TYPE tr_RESULT IS TABLE OF R_RESULT_REC;
RESULTS TR_RESULT := TR_RESULT();
v_counter NUMBER := 1;
v_max number;
v_min number;
BEGIN
FOR J IN (SELECT DISTINCT COLUMN_NAME
FROM ALL_TAB_COLUMNS
WHERE OWNER = 'SYSTEM'
and TABLE_NAME = 'SPECCHAR') LOOP
EXECUTE IMMEDIATE 'SELECT MIN(LENGTH(' || J.COLUMN_NAME || ')),
MAX(LENGTH(' || J.COLUMN_NAME || ')) FROM ' ||
'SPECCHAR'
INTO v_min, v_max;
RESULTS.EXTEND;
RESULTS(V_COUNTER) := new R_RESULT_REC(J.COLUMN_NAME, v_min, v_max);
V_COUNTER := V_COUNTER + 1;
END LOOP;
for r in (select attr_name
from all_type_attrs t
where t.owner = 'SYSTEM'
and t.type_name = 'R_RESULT_REC') loop
FOR I IN RESULTS.FIRST .. RESULTS.LAST LOOP
IF I = RESULTS.LAST THEN
execute immediate 'declare rec R_RESULT_REC := :0; begin' ||
' DBMS_OUTPUT.PUT_LINE(rec.' || r.attr_name || ');' ||
'end;'
using RESULTS(I);
ELSIF I = RESULTS.FIRST THEN
execute immediate 'declare rec R_RESULT_REC := :0; begin' ||
' DBMS_OUTPUT.PUT(''' || r.attr_name ||
'|'' || rec.' || r.attr_name || ' || ''|'');' ||
'end;'
using RESULTS(I);
ELSE
execute immediate 'declare rec R_RESULT_REC := :0; begin' ||
' DBMS_OUTPUT.PUT(rec.' || r.attr_name ||
' || ''|''); ' || 'end;'
using RESULTS(I);
END IF;
END LOOP;
end loop;
end;
If you'll add another attribute to the Record (and initiate it with values) , it will automatic display it.

Answer 3

Take advantage of Oracle's stats for this.
First, fully build stats on table using dbms_stats.gather_table_stats
Then, create the following function to help translate the raw low/high values that Oracle stores in all_tab_columns
create or replace function show_raw(i_raw raw, i_type varchar2)
return varchar2 is
l_varchar2 varchar2(32);
l_number number;
l_date date;
l_nvarchar2 nvarchar2(32);
l_rowid rowid;
l_char char;
begin
if (i_type = 'VARCHAR2') then
DBMS_STATS.CONVERT_RAW_VALUE(i_raw, l_varchar2);
return to_char(l_varchar2);
elsif(i_type = 'NUMBER') then
DBMS_STATS.CONVERT_RAW_VALUE(i_raw, l_number);
return to_char(l_number);
elsif(i_type = 'DATE') then
DBMS_STATS.CONVERT_RAW_VALUE(i_raw, l_date);
return to_char(l_date);
elsif(i_type = 'NVARCHAR2') then
DBMS_STATS.CONVERT_RAW_VALUE(i_raw, l_nvarchar2);
return to_char(l_nvarchar2);
elsif(i_type = 'ROWID') then
DBMS_STATS.CONVERT_RAW_VALUE(i_raw, l_rowid);
return to_char(l_rowid);
elsif(i_type = 'CHAR') then
DBMS_STATS.CONVERT_RAW_VALUE(i_raw, l_char);
return l_char;
else return 'Unknown type value';
end if;
end;
Then, just select the low/high values for each column:
select column_id,
column_name,
data_type,
show_raw(low_value, data_type) as min_val,
show_raw(high_value, data_type) as max_val
from all_tab_columns
where table_name = 'SOME_TABLE'
and owner = 'SOME_OWNER'
;