Database Administrators Asked by enharmonic on October 27, 2020
When performing an update
query (the following is just an example; any update
query could be used) such as:
update t1
inner join t2 on t1.id=t2.id
set t1.name="foo" where t2.name="bar";
Query OK, 324 rows affected (1.82 sec)
how do you see which rows have been affected (the 324 rows affected
in the response)? I tried converting the expression to a select
, such as
select * from t1
inner join t2 on t1.id=t2.id
where t1.name="foo";
but this also returns the rows that were already name="foo"
before the update
, too.
Conceptually, I would like to do something like
select * from rows_affected;
but of course this does not work. Is there a method that will allow the inspection/selection of rows affected by an update
query? Or is the only solution to do the select
before the update
to see which rows will be affected?
This sounds like a job for SELECT FOR UPDATE. Please see MySQL Docs on this
I have discussed this over the years
Aug 08, 2011
: Are InnoDB Deadlocks exclusive to INSERT/UPDATE/DELETE?Jan 02, 2012
: LOCK IN SHARE MODEMar 18, 2012
: select for update gives error on indexed columnMay 09, 2012
: Transaction Lock Timeouts When Updating a RowMay 13, 2012
: Cannot update certain rows in innodb tablesAug 10, 2012
; Similar function NOWAIT in MySQLFeb 12, 2014
: row locking within ACID transaction innodbAnswered by RolandoMySQLDBA on October 27, 2020
Many rows can have t1.name="foo".
MySQL will not update that row, if it detects that you already have the value you try to enter
But only the joined t1 rows that are linked to the condition t2.name="bar" will show up in the following query
select t1.id from t1
inner join t2 on t1.id=t2.id
where t2.name="bar";
Of course it will not detect , if t1.name has already the value "foo" and so it would show t1.ids that are not affected.
If you need the actual row, without the not affted rows, you must write a stired procedure where you
As an Example
CREATE TABLE t1 (id int auto_increment primary key,name varchar(4)); INSERT INTO t1(name) VALUES('foo'),('foo1'), ('foo'), ('test'), ('test'), ('test'), ('test'), ('test'), ('test'), ('test'); CREATE TABLE t2 (id int auto_increment primary key,name varchar(4)); INSERT INTO t2(name) VALUES('bar'),('foo1'), ('bar'), ('bar'), ('bar'), ('test'), ('bar'), ('test'), ('test'), ('test');
SELECT * FROm t1;
id | name -: | :--- 1 | foo 2 | foo1 3 | foo 4 | test 5 | test 6 | test 7 | test 8 | test 9 | test 10 | test
SELECT * FROM t2;
id | name -: | :--- 1 | bar 2 | foo1 3 | bar 4 | bar 5 | bar 6 | test 7 | bar 8 | test 9 | test 10 | test
CREATE TEMPORARY table t1_temp SELECT id FROM t1 WHERE name = 'foo';
update t1 inner join t2 on t1.id=t2.id set t1.name="foo" where t2.name="bar";
SELECT * FROM t1;
id | name -: | :--- 1 | foo 2 | foo1 3 | foo 4 | foo 5 | foo 6 | test 7 | foo 8 | test 9 | test 10 | test
select t1.id from t1 inner join t2 on t1.id=t2.id where t2.name="bar" AND t1.id NOT IN (SELECT id FROM t1_temp);
| id | | -: | | 4 | | 5 | | 7 |
db<>fiddle here
Answered by nbk on October 27, 2020
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