Optimize MySQL update statement

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Optimize MySQL update statement














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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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