Optimize MySQL update statementfind and insert row to another table using mysql triggerHow to optimize...

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Optimize MySQL update statement


find and insert row to another table using mysql triggerHow to optimize indexes on MySQL query with various sortsselect value between particular date and time scheduleBulk Delete for Large Table in MySQLMysql join not workingHow to update 10 million+ rows in MySQL single table as Fast as possible?improve mysql query in large tablesSlow SELECT examining whole tableselect MAX() from MySQL view (2x INNER JOIN) is slowOptimize MySQL query with MAX, GROUP BY, and WHERE













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I have an update query that selects data from a table (HST) and updates it into another table (PCL). The PCL table contains ~30000 rows while the HST table contains about 1.5 million rows. I have multiple (composite) indexes on HST and despite being a large table all queries on it are fairly quick (~2-3 sec). However, when I attempt to select rows from this table and update PCL, it takes 3-4 hours, and in most cases I get "Lock wait timeout exceeded; try restarting transaction" errors and I have to keep trying until it works.



UPDATE PCL 
SET `T2A` = (SELECT HST.`Date` from `HST` WHERE HST.`SYM`=PCL.INST AND
HST.`DATE` >= PCL.Date AND HST.`HP` >= PCL.T2 order by HST.`Date` limit 1)
WHERE `BS` = 'B' AND `T1A` IS NOT NULL;


Is there a way I can rewrite the above query so that it runs faster?



This is the structure of the PCL table



SrNo, int(6) | Created, datetime | Time, datetime | CNo, varchar(6) | 
Date, date | A1, varchar(4) | A2, varchar(4) | A3, varchar(4) |
F1, varchar(6) | INST, varchar(20) | BS, char(1) | CAB, char(2) |
CM, float(8,2) | CMSQL, float(8,2) | T1, float(8,2) | T2, float(8,2) |
T3, float(8,2) | SL, float(8,2) | FSL, float(8,2) | P1, int(4) |
P2, int(4) | TT, char(1) | P1C, date | P2C, date | DateP1, date |
DateP2, date | P1C, date | P2C, date | T1A, date | T2A, date |
T3A, date | SLH, date | TT, float | TSt, char(3) | TA, float |
S10K, float | CV, float | R%, float | C1, char(1) | L1, varchar(6) |


This is the HST table



SrNo, int(11) | SYM, varchar(20) | Date, date | PC, float(8,2) | 
OP, float(8,2) | HP, float(8,2) | LP, float(8,2) | CP, float(8,2) |








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    I have an update query that selects data from a table (HST) and updates it into another table (PCL). The PCL table contains ~30000 rows while the HST table contains about 1.5 million rows. I have multiple (composite) indexes on HST and despite being a large table all queries on it are fairly quick (~2-3 sec). However, when I attempt to select rows from this table and update PCL, it takes 3-4 hours, and in most cases I get "Lock wait timeout exceeded; try restarting transaction" errors and I have to keep trying until it works.



    UPDATE PCL 
    SET `T2A` = (SELECT HST.`Date` from `HST` WHERE HST.`SYM`=PCL.INST AND
    HST.`DATE` >= PCL.Date AND HST.`HP` >= PCL.T2 order by HST.`Date` limit 1)
    WHERE `BS` = 'B' AND `T1A` IS NOT NULL;


    Is there a way I can rewrite the above query so that it runs faster?



    This is the structure of the PCL table



    SrNo, int(6) | Created, datetime | Time, datetime | CNo, varchar(6) | 
    Date, date | A1, varchar(4) | A2, varchar(4) | A3, varchar(4) |
    F1, varchar(6) | INST, varchar(20) | BS, char(1) | CAB, char(2) |
    CM, float(8,2) | CMSQL, float(8,2) | T1, float(8,2) | T2, float(8,2) |
    T3, float(8,2) | SL, float(8,2) | FSL, float(8,2) | P1, int(4) |
    P2, int(4) | TT, char(1) | P1C, date | P2C, date | DateP1, date |
    DateP2, date | P1C, date | P2C, date | T1A, date | T2A, date |
    T3A, date | SLH, date | TT, float | TSt, char(3) | TA, float |
    S10K, float | CV, float | R%, float | C1, char(1) | L1, varchar(6) |


    This is the HST table



    SrNo, int(11) | SYM, varchar(20) | Date, date | PC, float(8,2) | 
    OP, float(8,2) | HP, float(8,2) | LP, float(8,2) | CP, float(8,2) |








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      I have an update query that selects data from a table (HST) and updates it into another table (PCL). The PCL table contains ~30000 rows while the HST table contains about 1.5 million rows. I have multiple (composite) indexes on HST and despite being a large table all queries on it are fairly quick (~2-3 sec). However, when I attempt to select rows from this table and update PCL, it takes 3-4 hours, and in most cases I get "Lock wait timeout exceeded; try restarting transaction" errors and I have to keep trying until it works.



      UPDATE PCL 
      SET `T2A` = (SELECT HST.`Date` from `HST` WHERE HST.`SYM`=PCL.INST AND
      HST.`DATE` >= PCL.Date AND HST.`HP` >= PCL.T2 order by HST.`Date` limit 1)
      WHERE `BS` = 'B' AND `T1A` IS NOT NULL;


      Is there a way I can rewrite the above query so that it runs faster?



      This is the structure of the PCL table



      SrNo, int(6) | Created, datetime | Time, datetime | CNo, varchar(6) | 
      Date, date | A1, varchar(4) | A2, varchar(4) | A3, varchar(4) |
      F1, varchar(6) | INST, varchar(20) | BS, char(1) | CAB, char(2) |
      CM, float(8,2) | CMSQL, float(8,2) | T1, float(8,2) | T2, float(8,2) |
      T3, float(8,2) | SL, float(8,2) | FSL, float(8,2) | P1, int(4) |
      P2, int(4) | TT, char(1) | P1C, date | P2C, date | DateP1, date |
      DateP2, date | P1C, date | P2C, date | T1A, date | T2A, date |
      T3A, date | SLH, date | TT, float | TSt, char(3) | TA, float |
      S10K, float | CV, float | R%, float | C1, char(1) | L1, varchar(6) |


      This is the HST table



      SrNo, int(11) | SYM, varchar(20) | Date, date | PC, float(8,2) | 
      OP, float(8,2) | HP, float(8,2) | LP, float(8,2) | CP, float(8,2) |








      share







      New contributor




      Quark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I have an update query that selects data from a table (HST) and updates it into another table (PCL). The PCL table contains ~30000 rows while the HST table contains about 1.5 million rows. I have multiple (composite) indexes on HST and despite being a large table all queries on it are fairly quick (~2-3 sec). However, when I attempt to select rows from this table and update PCL, it takes 3-4 hours, and in most cases I get "Lock wait timeout exceeded; try restarting transaction" errors and I have to keep trying until it works.



      UPDATE PCL 
      SET `T2A` = (SELECT HST.`Date` from `HST` WHERE HST.`SYM`=PCL.INST AND
      HST.`DATE` >= PCL.Date AND HST.`HP` >= PCL.T2 order by HST.`Date` limit 1)
      WHERE `BS` = 'B' AND `T1A` IS NOT NULL;


      Is there a way I can rewrite the above query so that it runs faster?



      This is the structure of the PCL table



      SrNo, int(6) | Created, datetime | Time, datetime | CNo, varchar(6) | 
      Date, date | A1, varchar(4) | A2, varchar(4) | A3, varchar(4) |
      F1, varchar(6) | INST, varchar(20) | BS, char(1) | CAB, char(2) |
      CM, float(8,2) | CMSQL, float(8,2) | T1, float(8,2) | T2, float(8,2) |
      T3, float(8,2) | SL, float(8,2) | FSL, float(8,2) | P1, int(4) |
      P2, int(4) | TT, char(1) | P1C, date | P2C, date | DateP1, date |
      DateP2, date | P1C, date | P2C, date | T1A, date | T2A, date |
      T3A, date | SLH, date | TT, float | TSt, char(3) | TA, float |
      S10K, float | CV, float | R%, float | C1, char(1) | L1, varchar(6) |


      This is the HST table



      SrNo, int(11) | SYM, varchar(20) | Date, date | PC, float(8,2) | 
      OP, float(8,2) | HP, float(8,2) | LP, float(8,2) | CP, float(8,2) |






      mysql optimization mysql-5.6 update





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