I have table which is having about 1000 rows.I have to update a column("X") in the table to 'Y' for n ramdom rows. For this i can have following query
update xyz set X='Y' when m in (
'SELECT m FROM (SELECT m
FROM xyz
order by dbms_random.value
) RNDM
where rownum < n+1);
Is there another efficient way to write this query. The table has no index. Please help?
Syntax: UPDATE table_name SET column_name1 = new_value1, column_name2 = new_value2 ---- WHERE condition; Here table_name is the name of the table, column_name is the column whose value you want to update, new_value is the updated value, WHERE is used to filter for specific data.
You cannot use the NAME column to sort! UPDATE (SELECT name, order_id FROM test1 ORDER BY order_id) SET order_id = ROWNUM; Does not produce the expecting result because the order by is not used.
I would use the ROWID:
UPDATE xyz SET x='Y' WHERE rowid IN (
SELECT r FROM (
SELECT ROWID r FROM xyz ORDER BY dbms_random.value
) RNDM WHERE rownum < n+1
)
The actual reason I would use ROWID isn't for efficiency though (it will still do a full table scan) - your SQL may not update the number of rows you want if column m
isn't unique.
With only 1000 rows, you shouldn't really be worried about efficiency (maybe with a hundred million rows). Without any index on this table, you're stuck doing a full table scan to select random records.
[EDIT:] "But what if there are 100,000 rows"
Well, that's still 3 orders of magnitude less than 100 million.
I ran the following:
create table xyz as select * from all_objects;
[created about 50,000 rows on my system - non-indexed, just like your table]
UPDATE xyz SET owner='Y' WHERE rowid IN (
SELECT r FROM (
SELECT ROWID r FROM xyz ORDER BY dbms_random.value
) RNDM WHERE rownum < 10000
);
commit;
This took approximately 1.5 seconds. Maybe it was 1 second, maybe up to 3 seconds (didn't formally time it, it just took about enough time to blink).
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