Benchmark for a rowlock in mysql
I am trying to benchmark a sql transaction with a select..for update statement which uses an exclusive lock on the row and then insert a row into another table as shown below.
START TRANSACTION;
SELECT CurrentSize
FROM testtable
WHERE id = {id} FOR UPDATE;
-- update current size in testtable
UPDATE testtable
SET currentsize = currentsize + 1
WHERE id = {id} ;
-- insert into a different table
insert into testtable2 values(1,2);
COMMIT;
I am getting 2K tps for the above transaction and I am assuming each transaction takes 0.5ms to complete so giving me 2K tps .
Is it even possible to scale the system beyond this point? If yes is there any implementation that I could try and use.
I am using a 16x.large machine of AWS RDS Aurora MySQL.
mysql-5.6 benchmark aws-aurora
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I am trying to benchmark a sql transaction with a select..for update statement which uses an exclusive lock on the row and then insert a row into another table as shown below.
START TRANSACTION;
SELECT CurrentSize
FROM testtable
WHERE id = {id} FOR UPDATE;
-- update current size in testtable
UPDATE testtable
SET currentsize = currentsize + 1
WHERE id = {id} ;
-- insert into a different table
insert into testtable2 values(1,2);
COMMIT;
I am getting 2K tps for the above transaction and I am assuming each transaction takes 0.5ms to complete so giving me 2K tps .
Is it even possible to scale the system beyond this point? If yes is there any implementation that I could try and use.
I am using a 16x.large machine of AWS RDS Aurora MySQL.
mysql-5.6 benchmark aws-aurora
add a comment |
I am trying to benchmark a sql transaction with a select..for update statement which uses an exclusive lock on the row and then insert a row into another table as shown below.
START TRANSACTION;
SELECT CurrentSize
FROM testtable
WHERE id = {id} FOR UPDATE;
-- update current size in testtable
UPDATE testtable
SET currentsize = currentsize + 1
WHERE id = {id} ;
-- insert into a different table
insert into testtable2 values(1,2);
COMMIT;
I am getting 2K tps for the above transaction and I am assuming each transaction takes 0.5ms to complete so giving me 2K tps .
Is it even possible to scale the system beyond this point? If yes is there any implementation that I could try and use.
I am using a 16x.large machine of AWS RDS Aurora MySQL.
mysql-5.6 benchmark aws-aurora
I am trying to benchmark a sql transaction with a select..for update statement which uses an exclusive lock on the row and then insert a row into another table as shown below.
START TRANSACTION;
SELECT CurrentSize
FROM testtable
WHERE id = {id} FOR UPDATE;
-- update current size in testtable
UPDATE testtable
SET currentsize = currentsize + 1
WHERE id = {id} ;
-- insert into a different table
insert into testtable2 values(1,2);
COMMIT;
I am getting 2K tps for the above transaction and I am assuming each transaction takes 0.5ms to complete so giving me 2K tps .
Is it even possible to scale the system beyond this point? If yes is there any implementation that I could try and use.
I am using a 16x.large machine of AWS RDS Aurora MySQL.
mysql-5.6 benchmark aws-aurora
mysql-5.6 benchmark aws-aurora
asked 16 mins ago
amit1310amit1310
1011
1011
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add a comment |
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