how to make selecting random rows in oracle faster with table with millions of rows
Is there a way to make selecting random rows faster in oracle with a table 开发者_开发技巧that has million of rows. I tried to use sample(x) and dbms_random.value and its taking a long time to run.
Thanks!
Using appropriate values of sample(x)
is the fastest way you can. It's block-random and row-random within blocks, so if you only want one random row:
select dbms_rowid.rowid_relative_fno(rowid) as fileno,
dbms_rowid.rowid_block_number(rowid) as blockno,
dbms_rowid.rowid_row_number(rowid) as offset
from (select rowid from [my_big_table] sample (.01))
where rownum = 1
I'm using a subpartitioned table, and I'm getting pretty good randomness even grabbing multiple rows:
select dbms_rowid.rowid_relative_fno(rowid) as fileno,
dbms_rowid.rowid_block_number(rowid) as blockno,
dbms_rowid.rowid_row_number(rowid) as offset
from (select rowid from [my_big_table] sample (.01))
where rownum <= 5
FILENO BLOCKNO OFFSET
---------- ---------- ----------
152 2454936 11
152 2463140 32
152 2335208 2
152 2429207 23
152 2746125 28
I suspect you should probably tune your SAMPLE
clause to use an appropriate sample size for what you're fetching.
Start with Adam's answer first, but if SAMPLE
just isn't fast enough, even with the ROWNUM optimization, you can use block samples:
....FROM [table] SAMPLE BLOCK (0.01)
This applies the sampling at the block level instead of for each row. This does mean that it can skip large swathes of data from the table so the sample percent will be very rough. It's not unusual for a SAMPLE BLOCK with a low percentage to return zero rows.
Here's the same question on AskTom:
http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:6075151195522
If you know how big your table is, use sample block as described above. If you don't, you can modify the routine below to get however many rows you want.
Copied from: http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:6075151195522#56174726207861
create or replace function get_random_rowid
( table_name varchar2
) return urowid
as
sql_v varchar2(100);
urowid_t dbms_sql.urowid_table;
cursor_v integer;
status_v integer;
rows_v integer;
begin
for exp_v in -6..2 loop
exit when (urowid_t.count > 0);
if (exp_v < 2) then
sql_v := 'select rowid from ' || table_name
|| ' sample block (' || power(10, exp_v) || ')';
else
sql_v := 'select rowid from ' || table_name;
end if;
cursor_v := dbms_sql.open_cursor;
dbms_sql.parse(cursor_v, sql_v, dbms_sql.native);
dbms_sql.define_array(cursor_v, 1, urowid_t, 100, 0);
status_v := dbms_sql.execute(cursor_v);
loop
rows_v := dbms_sql.fetch_rows(cursor_v);
dbms_sql.column_value(cursor_v, 1, urowid_t);
exit when rows_v != 100;
end loop;
dbms_sql.close_cursor(cursor_v);
end loop;
if (urowid_t.count > 0) then
return urowid_t(trunc(dbms_random.value(0, urowid_t.count)));
end if;
return null;
exception when others then
if (dbms_sql.is_open(cursor_v)) then
dbms_sql.close_cursor(cursor_v);
end if;
raise;
end;
/
show errors
Below Solution to this question is not the exact answer but in many scenarios you try to select a row and try to use it for some purpose and then update its status with "used" or "done" so that you do not select it again.
Solution:
Below query is useful but that way if your table is large, I just tried and see that you definitely face performance problem with this query.
SELECT * FROM ( SELECT * FROM table ORDER BY dbms_random.value ) WHERE rownum = 1
So if you set a rownum like below then you can work around the performance problem. By incrementing rownum you can reduce the possiblities. But in this case you will always get rows from the same 1000 rows. If you get a row from 1000 and update its status with "USED", you will almost get different row everytime you query with "ACTIVE"
SELECT * FROM
( SELECT * FROM table
where rownum < 1000
and status = 'ACTIVE'
ORDER BY dbms_random.value )
WHERE rownum = 1
update the rows status after selecting it, If you can not update that means another transaction has already used it. Then You should try to get a new row and update its status. By the way, getting the same row by two different transaction possibility is 0.001 since rownum is 1000.
Someone told sample(x) is the fastest way you can. But for me this method works slightly faster than sample(x) method. It should take fraction of the second (0.2 in my case) no matter what is the size of the table. If it takes longer try to use hints (--+ leading(e) use_nl(e t) rowid(t)) can help
SELECT *
FROM My_User.My_Table
WHERE ROWID = (SELECT MAX(t.ROWID) KEEP(DENSE_RANK FIRST ORDER BY dbms_random.value)
FROM (SELECT o.Data_Object_Id,
e.Relative_Fno,
e.Block_Id + TRUNC(Dbms_Random.Value(0, e.Blocks)) AS Block_Id
FROM Dba_Extents e
JOIN Dba_Objects o ON o.Owner = e.Owner AND o.Object_Type = e.Segment_Type AND o.Object_Name = e.Segment_Name
WHERE e.Segment_Name = 'MY_TABLE'
AND(e.Segment_Type, e.Owner, e.Extent_Id) =
(SELECT MAX(e.Segment_Type) AS Segment_Type,
MAX(e.Owner) AS Owner,
MAX(e.Extent_Id) KEEP(DENSE_RANK FIRST ORDER BY Dbms_Random.Value) AS Extent_Id
FROM Dba_Extents e
WHERE e.Segment_Name = 'MY_TABLE'
AND e.Owner = 'MY_USER'
AND e.Segment_Type = 'TABLE')) e
JOIN My_User.My_Table t
ON t.Rowid BETWEEN Dbms_Rowid.Rowid_Create(1, Data_Object_Id, Relative_Fno, Block_Id, 0)
AND Dbms_Rowid.Rowid_Create(1, Data_Object_Id, Relative_Fno, Block_Id, 32767))
Version with retries when no rows returned:
WITH gen AS ((SELECT --+ inline leading(e) use_nl(e t) rowid(t)
MAX(t.ROWID) KEEP(DENSE_RANK FIRST ORDER BY dbms_random.value) Row_Id
FROM (SELECT o.Data_Object_Id,
e.Relative_Fno,
e.Block_Id + TRUNC(Dbms_Random.Value(0, e.Blocks)) AS Block_Id
FROM Dba_Extents e
JOIN Dba_Objects o ON o.Owner = e.Owner AND o.Object_Type = e.Segment_Type AND o.Object_Name = e.Segment_Name
WHERE e.Segment_Name = 'MY_TABLE'
AND(e.Segment_Type, e.Owner, e.Extent_Id) =
(SELECT MAX(e.Segment_Type) AS Segment_Type,
MAX(e.Owner) AS Owner,
MAX(e.Extent_Id) KEEP(DENSE_RANK FIRST ORDER BY Dbms_Random.Value) AS Extent_Id
FROM Dba_Extents e
WHERE e.Segment_Name = 'MY_TABLE'
AND e.Owner = 'MY_USER'
AND e.Segment_Type = 'TABLE')) e
JOIN MY_USER.MY_TABLE t ON t.ROWID BETWEEN Dbms_Rowid.Rowid_Create(1, Data_Object_Id, Relative_Fno, Block_Id, 0)
AND Dbms_Rowid.Rowid_Create(1, Data_Object_Id, Relative_Fno, Block_Id, 32767))),
Retries(Cnt, Row_Id) AS (SELECT 1, gen.Row_Id
FROM Dual
LEFT JOIN gen ON 1=1
UNION ALL
SELECT Cnt + 1, gen.Row_Id
FROM Retries
LEFT JOIN gen ON 1=1
WHERE Retries.Row_Id IS NULL AND Retries.Cnt < 10)
SELECT *
FROM MY_USER.MY_TABLE
WHERE ROWID = (SELECT Row_Id
FROM Retries
WHERE Row_Id IS NOT NULL)
Can you use pseudorandom rows?
select * from (
select * from ... where... order by ora_hash(rowid)
) where rownum<100
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