Thread: Fwd: Dead lock
Hi,
Actually i guess the problem is related to the way PG uses to aquire lock on the rows that will be updated.
Suppose the update query will affect 5 rows: A, B, C, D and E.
Apparently the folowing senario is happening:
1- Transaction1 locks row A
2- Trnasaction2 locks row B
3- Transaction1 updates row A
4- Tranasaction2 updates row B
5- Transaction1 tries to acquire lock on row B(and fail because row B is still locked by transaction2)
6- Transaction2 tries to acquire lock on row A(and fail because row A is still locked by transaction1)
Hence the dead lock.
Is this a plausible explanation of what is going on?
If yes, what can be done to avoid the dead lock?
Thanks again.
-------- Original Message --------
Hi all,
I have 2 data bases trying to perform an update query at the same time on a same table in a third data base using db link.
I'm getting a dead lock exception:
ERROR: deadlock detected
DETAIL: Process 27305 waits for ShareLock on transaction 55575; blocked by process 27304.
Process 27304 waits for ShareLock on transaction 55576; blocked by process 27305.
HINT: See server log for query details.
Actually the folowing function is installed on 2 dbs DB1 and DB2. This function issues an update query on DB3.
When this function is running simultaneously on DB1 and DB2, it produces a dead lock making one of the functions (in DB1 or DB2) stop with the above exception:
Is it normal? should'nt postgres be able to handle such situations, for ex: let one transaction wait untill the other commits or rollback then continue with the first transaction?
Is there a parameter that should be set in postgresql.conf to allow handling of concurrent transaction...?
CREATE OR REPLACE FUNCTION TEST_DB_LINK(VARCHAR)
RETURNS VOID AS'
DECLARE
C INTEGER;
P ALIAS FOR $1;
DUMMY VARCHAR;
BEGIN
C:= 0;
LOOP
EXIT WHEN C > 15;
C:= C+1;
SELECT INTO DUMMY DBLINK_EXEC(''CONNECTION_STRING TO DB3', ''UPDATE IN_FICHE_PRODUIT SET VALIDE = 1'');
RAISE NOTICE ''%, %'', C,P;
END LOOP;
END;'
LANGUAGE 'plpgsql';
Thanks for your time.
Actually i guess the problem is related to the way PG uses to aquire lock on the rows that will be updated.
Suppose the update query will affect 5 rows: A, B, C, D and E.
Apparently the folowing senario is happening:
1- Transaction1 locks row A
2- Trnasaction2 locks row B
3- Transaction1 updates row A
4- Tranasaction2 updates row B
5- Transaction1 tries to acquire lock on row B(and fail because row B is still locked by transaction2)
6- Transaction2 tries to acquire lock on row A(and fail because row A is still locked by transaction1)
Hence the dead lock.
Is this a plausible explanation of what is going on?
If yes, what can be done to avoid the dead lock?
Thanks again.
-------- Original Message --------
Subject: | Dead lock |
---|---|
Date: | Mon, 14 Jun 2010 14:50:43 +0300 |
From: | Elias Ghanem <e.ghanem@acteos.com> |
To: | pgsql-performance@postgresql.org |
Hi all,
I have 2 data bases trying to perform an update query at the same time on a same table in a third data base using db link.
I'm getting a dead lock exception:
ERROR: deadlock detected
DETAIL: Process 27305 waits for ShareLock on transaction 55575; blocked by process 27304.
Process 27304 waits for ShareLock on transaction 55576; blocked by process 27305.
HINT: See server log for query details.
Actually the folowing function is installed on 2 dbs DB1 and DB2. This function issues an update query on DB3.
When this function is running simultaneously on DB1 and DB2, it produces a dead lock making one of the functions (in DB1 or DB2) stop with the above exception:
Is it normal? should'nt postgres be able to handle such situations, for ex: let one transaction wait untill the other commits or rollback then continue with the first transaction?
Is there a parameter that should be set in postgresql.conf to allow handling of concurrent transaction...?
CREATE OR REPLACE FUNCTION TEST_DB_LINK(VARCHAR)
RETURNS VOID AS'
DECLARE
C INTEGER;
P ALIAS FOR $1;
DUMMY VARCHAR;
BEGIN
C:= 0;
LOOP
EXIT WHEN C > 15;
C:= C+1;
SELECT INTO DUMMY DBLINK_EXEC(''CONNECTION_STRING TO DB3', ''UPDATE IN_FICHE_PRODUIT SET VALIDE = 1'');
RAISE NOTICE ''%, %'', C,P;
END LOOP;
END;'
LANGUAGE 'plpgsql';
Thanks for your time.
It's a standard (indeed, required) best practice of concurrent database programming across any brand of database to ensure that multi-row transactions always acquire the locks they use in a predictable order based on row identities, e.g. for the classic banking debit-credit pair, doing something like this (Java / JDBC, simplified for brevity and clarity):
PreparedStatement debit = conn.prepareStatement("update account set balance = balance - ? where acc_no = ? and balance > ?");
debit.setLong(1, amount);
debit.setLong(2, debit_acct);
debit.setLong(3, amount);
PreparedStatement credit = conn.prepareStatement("update account set balance = balance + ? where acc_no = ?");
credit.setLong(1, amount);
credit.setLong(2, credit_acct);
try {
// always acquire row locks in increasing account number order
conn.beginTransaction();
if (credit_acct < debit_acct) {
credit.executeUpdate();
if (debit.executeUpdate() < 1) throw new SQLException("Insufficient balance");
}
else {
if (debit.executeUpdate() < 1) throw new SQLException("Insufficient balance");
credit.executeUpdate();
}
}
catch (SQLException e) {
System.err.println("Oops. transaction failed: ", e.getMessage());
conn.rollback();
}
conn.commit();
If you're doing straight SQL bulk updates, then as someone suggested, you could use an ORDER BY on a subquery, but I don't know if that is a guarantee, if you're not actually displaying the results then the DB may be technically allowed to optimize it out from underneath you. The only way to be sure is a cursor / procedure.
In short, this boils down to learning more about database programming. PG is performing as it should.
Cheers
Dave
PreparedStatement debit = conn.prepareStatement("update account set balance = balance - ? where acc_no = ? and balance > ?");
debit.setLong(1, amount);
debit.setLong(2, debit_acct);
debit.setLong(3, amount);
PreparedStatement credit = conn.prepareStatement("update account set balance = balance + ? where acc_no = ?");
credit.setLong(1, amount);
credit.setLong(2, credit_acct);
try {
// always acquire row locks in increasing account number order
conn.beginTransaction();
if (credit_acct < debit_acct) {
credit.executeUpdate();
if (debit.executeUpdate() < 1) throw new SQLException("Insufficient balance");
}
else {
if (debit.executeUpdate() < 1) throw new SQLException("Insufficient balance");
credit.executeUpdate();
}
}
catch (SQLException e) {
System.err.println("Oops. transaction failed: ", e.getMessage());
conn.rollback();
}
conn.commit();
If you're doing straight SQL bulk updates, then as someone suggested, you could use an ORDER BY on a subquery, but I don't know if that is a guarantee, if you're not actually displaying the results then the DB may be technically allowed to optimize it out from underneath you. The only way to be sure is a cursor / procedure.
In short, this boils down to learning more about database programming. PG is performing as it should.
Cheers
Dave
On Mon, Jun 14, 2010 at 10:36 AM, Elias Ghanem <e.ghanem@acteos.com> wrote:
Hi,
Actually i guess the problem is related to the way PG uses to aquire lock on the rows that will be updated.
Suppose the update query will affect 5 rows: A, B, C, D and E.
Apparently the folowing senario is happening:
1- Transaction1 locks row A
2- Trnasaction2 locks row B
3- Transaction1 updates row A
4- Tranasaction2 updates row B
5- Transaction1 tries to acquire lock on row B(and fail because row B is still locked by transaction2)
6- Transaction2 tries to acquire lock on row A(and fail because row A is still locked by transaction1)
Hence the dead lock.
Is this a plausible explanation of what is going on?
If yes, what can be done to avoid the dead lock?
Thanks again.
-------- Original Message --------
Subject: Dead lock Date: Mon, 14 Jun 2010 14:50:43 +0300 From: Elias Ghanem <e.ghanem@acteos.com> To: pgsql-performance@postgresql.org
Hi all,
I have 2 data bases trying to perform an update query at the same time on a same table in a third data base using db link.
I'm getting a dead lock exception:
ERROR: deadlock detected
DETAIL: Process 27305 waits for ShareLock on transaction 55575; blocked by process 27304.
Process 27304 waits for ShareLock on transaction 55576; blocked by process 27305.
HINT: See server log for query details.
Actually the folowing function is installed on 2 dbs DB1 and DB2. This function issues an update query on DB3.
When this function is running simultaneously on DB1 and DB2, it produces a dead lock making one of the functions (in DB1 or DB2) stop with the above exception:
Is it normal? should'nt postgres be able to handle such situations, for ex: let one transaction wait untill the other commits or rollback then continue with the first transaction?
Is there a parameter that should be set in postgresql.conf to allow handling of concurrent transaction...?
CREATE OR REPLACE FUNCTION TEST_DB_LINK(VARCHAR)
RETURNS VOID AS'
DECLARE
C INTEGER;
P ALIAS FOR $1;
DUMMY VARCHAR;
BEGIN
C:= 0;
LOOP
EXIT WHEN C > 15;
C:= C+1;
SELECT INTO DUMMY DBLINK_EXEC(''CONNECTION_STRING TO DB3', ''UPDATE IN_FICHE_PRODUIT SET VALIDE = 1'');
RAISE NOTICE ''%, %'', C,P;
END LOOP;
END;'
LANGUAGE 'plpgsql';
Thanks for your time.
On Mon, Jun 14, 2010 at 11:58 AM, Dave Crooke <dcrooke@gmail.com> wrote: > If you're doing straight SQL bulk updates, then as someone suggested, you could use an ORDER BY on a subquery, but I don'tknow if that is a guarantee, if you're not actually displaying the results then the DB may be technically allowed tooptimize it out from underneath you. The only way to be sure is a cursor / procedure. 'order by' should be safe if you use SELECT...FOR UPDATE. update doesn't have an order by clause. Using cursor/procedure vs a query is not the material point; you have to make sure locks are acquired in a regular way. update foo set x=x where id in (select * from bar order by x) does look dangerous. I think: update foo set x=x where id in (select * from bar order by x for update) should be ok. I don't usually do it that way. merlin