How to update around 12 lac record when using co-related update
Hello Everyone
I have two tables and 14 columns in them are similar, I mean have the same name
Now I want to update 1 column using the records in the other table by using join condition so I wrote a code but as the records are around 12 lac which need to be updated so my code hangs after 25%
UPDATE TABLE A
SET A.COLUMN1=(SELECT B.COLUMN1
FROM TABLEL B
WHERE B.COLUMN2 = A.COLUMN2
AND B.COLUMN3 = A.COLUMN3
AND B.COLUMN4= A.COLUMN4
AND B.COLUMN5 =A. COLUMN5
AND B.COLUMN6 = A.COLUMN6
AND B.COLUMN7=A.COLUMN7
AND B.COLUMN8 = A.COLUMN8
AND B.COLUMN9 = A.COLUMN9
AND B.COLUMN10 = A.COLUMN10
AND B.COLUMN11 = A.COLUMN11
AND B.COLUMN12 = A.COLUMN12
AND B.COLUMN13 = A.COLUMN13
AND A.PLAN_ID = 1000000300
AND B.PLAN_ID = 1000000300)
WHERE COLUMN14= 1000000300
AND COLUMN15=1000000002please suggest a way that the update could be done easily
Edited by: Peeyush on Feb 8, 2011 5:56 AM
Edited by: Peeyush on Feb 8, 2011 5:57 AM
You can rewrite it using a merge statement, to prevent starting that subquery numerous times.
Here is an example that mimics your situation, with two tables containing only 10 rows:
SQL> create table table_a
2 ( column1
3 , column2
4 , column3
5 , column4
6 , column5
7 , column6
8 , column7
9 , column8
10 , column9
11 , column10
12 , column11
13 , column12
14 , column13
15 , column14
16 , column15
17 , plan_id
18 )
19 as
20 select -1
21 , level
22 , 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
23 , 1000000300
24 , case mod(level,2) when 0 then 1000000002 else 1000000000 end
25 , 1000000300
26 from dual
27 connect by level <= 10
28 /
Table created.
SQL> create table table_b
2 as
3 select rownum column1
4 , column2
5 , column3
6 , column4
7 , column5
8 , column6
9 , column7
10 , column8
11 , column9
12 , column10
13 , column11
14 , column12
15 , column13
16 , column14
17 , column15
18 , plan_id
19 from table_a
20 /
Table created.
SQL> select * from table_a
2 /
COLUMN1 COLUMN2 COLUMN3 COLUMN4 COLUMN5 COLUMN6 COLUMN7 COLUMN8 COLUMN9 COLUMN10 COLUMN11 COLUMN12 COLUMN13 COLUMN14 COLUMN15 PLAN_ID
-1 1 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
-1 2 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 3 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
-1 4 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 5 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
-1 6 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 7 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
-1 8 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 9 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
-1 10 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
10 rows selected.
SQL> alter session set statistics_level = all
2 /
Session altered.
SQL> UPDATE TABLE_a A
2 SET A.COLUMN1=(SELECT B.COLUMN1
3 FROM TABLE_b B
4 WHERE B.COLUMN2 = A.COLUMN2
5 AND B.COLUMN3 = A.COLUMN3
6 AND B.COLUMN4= A.COLUMN4
7 AND B.COLUMN5 =A. COLUMN5
8 AND B.COLUMN6 = A.COLUMN6
9 AND B.COLUMN7=A.COLUMN7
10 AND B.COLUMN8 = A.COLUMN8
11 AND B.COLUMN9 = A.COLUMN9
12 AND B.COLUMN10 = A.COLUMN10
13 AND B.COLUMN11 = A.COLUMN11
14 AND B.COLUMN12 = A.COLUMN12
15 AND B.COLUMN13 = A.COLUMN13
16 AND A.PLAN_ID = 1000000300
17 AND B.PLAN_ID = 1000000300)
18 WHERE COLUMN14= 1000000300
19 AND COLUMN15=1000000002
20 /
5 rows updated.
SQL> select * from table(dbms_xplan.display_cursor(null,null,'allstats last'))
2 /
PLAN_TABLE_OUTPUT
SQL_ID 2xky09vcgyzpr, child number 0
UPDATE TABLE_a A SET A.COLUMN1=(SELECT B.COLUMN1 FROM
TABLE_b B WHERE B.COLUMN2 = A.COLUMN2
AND B.COLUMN3 = A.COLUMN3 AND B.COLUMN4= A.COLUMN4
AND B.COLUMN5 =A. COLUMN5 AND B.COLUMN6 =
A.COLUMN6 AND B.COLUMN7=A.COLUMN7 AND
B.COLUMN8 = A.COLUMN8 AND B.COLUMN9 = A.COLUMN9
AND B.COLUMN10 = A.COLUMN10 AND B.COLUMN11 =
A.COLUMN11 AND B.COLUMN12 = A.COLUMN12
AND B.COLUMN13 = A.COLUMN13 AND A.PLAN_ID = 1000000300
AND B.PLAN_ID = 1000000300) WHERE COLUMN14= 1000000300 AND
COLUMN15=1000000002
Plan hash value: 4173428670
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers |
| 1 | UPDATE | TABLE_A | 1 | | 0 |00:00:00.01 | 25 |
|* 2 | TABLE ACCESS FULL | TABLE_A | 1 | 5 | 5 |00:00:00.01 | 3 |
|* 3 | FILTER | | 5 | | 5 |00:00:00.01 | 15 |
|* 4 | TABLE ACCESS FULL| TABLE_B | 5 | 1 | 5 |00:00:00.01 | 15 |
Predicate Information (identified by operation id):
2 - filter(("COLUMN14"=1000000300 AND "COLUMN15"=1000000002))
3 - filter(:B1=1000000300)
4 - filter(("B"."COLUMN2"=:B1 AND "B"."COLUMN3"=:B2 AND "B"."COLUMN4"=:B3 AND
"B"."COLUMN5"=:B4 AND "B"."COLUMN6"=:B5 AND "B"."COLUMN7"=:B6 AND
"B"."COLUMN8"=:B7 AND "B"."COLUMN9"=:B8 AND "B"."COLUMN10"=:B9 AND
"B"."COLUMN11"=:B10 AND "B"."COLUMN12"=:B11 AND "B"."COLUMN13"=:B12 AND
"B"."PLAN_ID"=1000000300))
Note
- dynamic sampling used for this statement
40 rows selected.Note that you have 5 starts of operation 4, meaning 5 full table scans.
SQL> select * from table_a
2 /
COLUMN1 COLUMN2 COLUMN3 COLUMN4 COLUMN5 COLUMN6 COLUMN7 COLUMN8 COLUMN9 COLUMN10 COLUMN11 COLUMN12 COLUMN13 COLUMN14 COLUMN15 PLAN_ID
-1 1 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
2 2 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 3 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
4 4 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 5 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
6 6 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 7 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
8 8 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 9 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
10 10 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
10 rows selected.
SQL> rollback
2 /
Rollback complete.
SQL> merge into table_a a
2 using table_b b
3 on ( a.column2 = b.column2
4 and a.column3 = b.column3
5 and a.column4 = b.column4
6 and a.column5 = b.column5
7 and a.column6 = b.column6
8 and a.column7 = b.column7
9 and a.column8 = b.column8
10 and a.column9 = b.column9
11 and a.column10 = b.column10
12 and a.column11 = b.column11
13 and a.column12 = b.column12
14 and a.column13 = b.column13
15 and a.plan_id = 1000000300
16 and b.plan_id = 1000000300
17 and a.column14 = 1000000300
18 and a.column15 = 1000000002
19 )
20 when matched then
21 update set a.column1 = b.column1
22 /
5 rows merged.
SQL> select * from table(dbms_xplan.display_cursor(null,null,'allstats last'))
2 /
PLAN_TABLE_OUTPUT
SQL_ID by8mwr4pxfv46, child number 0
merge into table_a a using table_b b on ( a.column2 = b.column2 and a.column3 = b.column3
and a.column4 = b.column4 and a.column5 = b.column5 and a.column6 = b.column6 and
a.column7 = b.column7 and a.column8 = b.column8 and a.column9 = b.column9 and
a.column10 = b.column10 and a.column11 = b.column11 and a.column12 = b.column12 and
a.column13 = b.column13 and a.plan_id = 1000000300 and b.plan_id = 1000000300 and
a.column14 = 1000000300 and a.column15 = 1000000002 ) when matched then update set
a.column1 = b.column1
Plan hash value: 1110892605
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | OMem | 1Mem | Used-Mem |
| 1 | MERGE | TABLE_A | 1 | | 1 |00:00:00.01 | 13 | | | |
| 2 | VIEW | | 1 | | 5 |00:00:00.01 | 6 | | | |
|* 3 | HASH JOIN | | 1 | 1 | 5 |00:00:00.01 | 6 | 778K| 778K| 573K (0)|
|* 4 | TABLE ACCESS FULL| TABLE_A | 1 | 5 | 5 |00:00:00.01 | 3 | | | |
|* 5 | TABLE ACCESS FULL| TABLE_B | 1 | 10 | 10 |00:00:00.01 | 3 | | | |
Predicate Information (identified by operation id):
3 - access("A"."COLUMN2"="B"."COLUMN2" AND "A"."COLUMN3"="B"."COLUMN3" AND "A"."COLUMN4"="B"."COLUMN4"
AND "A"."COLUMN5"="B"."COLUMN5" AND "A"."COLUMN6"="B"."COLUMN6" AND "A"."COLUMN7"="B"."COLUMN7" AND
"A"."COLUMN8"="B"."COLUMN8" AND "A"."COLUMN9"="B"."COLUMN9" AND "A"."COLUMN10"="B"."COLUMN10" AND
"A"."COLUMN11"="B"."COLUMN11" AND "A"."COLUMN12"="B"."COLUMN12" AND "A"."COLUMN13"="B"."COLUMN13")
4 - filter(("A"."PLAN_ID"=1000000300 AND "A"."COLUMN14"=1000000300 AND "A"."COLUMN15"=1000000002))
5 - filter("B"."PLAN_ID"=1000000300)
Note
- dynamic sampling used for this statement
36 rows selected.And with the merge you have only one.
SQL> alter session set statistics_level = typical
2 /
Session altered.
SQL> select * from table_a
2 /
COLUMN1 COLUMN2 COLUMN3 COLUMN4 COLUMN5 COLUMN6 COLUMN7 COLUMN8 COLUMN9 COLUMN10 COLUMN11 COLUMN12 COLUMN13 COLUMN14 COLUMN15 PLAN_ID
-1 1 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
2 2 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 3 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
4 4 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 5 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
6 6 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 7 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
8 8 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
-1 9 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000000 1000000300
10 10 1 1 1 1 1 1 1 1 1 1 1 1000000300 1000000002 1000000300
10 rows selected.On 1.2M rows, the savings should be considerable.
Regards,
Rob.
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