Benchmark for a rowlock in mysql












0















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.










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    0















    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.










    share|improve this question

























      0












      0








      0








      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.










      share|improve this question














      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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      share|improve this question










      asked 16 mins ago









      amit1310amit1310

      1011




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