redesign database around selecting rows by time range












1















I currently have a MySQL database that grows about 50,000 rows a day. When querying data out of the database, I query information from the info table and use a subquery on the session table to refine by date range like:



SELECT info.sessionID, info.otherstuff, t.time FROM info
INNER JOIN
(SELECT session.sessionID, session.time FROM session
WHERE session.time > :afterSomeDate AND session.time < :beforeSomeOtherDate) as t
ORDER BY t.time DESC


This causes an exponentially large bottleneck in query time as the date range increases. As I am completely redesigning the database, any suggestions are valid including different DB types. There is currently a 3 month RANGE partition on the time column, as well as an INDEX.



During my research I have done a few tests directly in the MySQL database. For instance a query to select every session in my table in a date range of 2 months, has a duration time of .453s and fetch time of 81s (returned 1.7 million rows). According to the accepted answer of this question, my bottleneck could really be the network connection between database and the application.



What else could I do to get a significant performance increase?










share|improve this question





























    1















    I currently have a MySQL database that grows about 50,000 rows a day. When querying data out of the database, I query information from the info table and use a subquery on the session table to refine by date range like:



    SELECT info.sessionID, info.otherstuff, t.time FROM info
    INNER JOIN
    (SELECT session.sessionID, session.time FROM session
    WHERE session.time > :afterSomeDate AND session.time < :beforeSomeOtherDate) as t
    ORDER BY t.time DESC


    This causes an exponentially large bottleneck in query time as the date range increases. As I am completely redesigning the database, any suggestions are valid including different DB types. There is currently a 3 month RANGE partition on the time column, as well as an INDEX.



    During my research I have done a few tests directly in the MySQL database. For instance a query to select every session in my table in a date range of 2 months, has a duration time of .453s and fetch time of 81s (returned 1.7 million rows). According to the accepted answer of this question, my bottleneck could really be the network connection between database and the application.



    What else could I do to get a significant performance increase?










    share|improve this question



























      1












      1








      1








      I currently have a MySQL database that grows about 50,000 rows a day. When querying data out of the database, I query information from the info table and use a subquery on the session table to refine by date range like:



      SELECT info.sessionID, info.otherstuff, t.time FROM info
      INNER JOIN
      (SELECT session.sessionID, session.time FROM session
      WHERE session.time > :afterSomeDate AND session.time < :beforeSomeOtherDate) as t
      ORDER BY t.time DESC


      This causes an exponentially large bottleneck in query time as the date range increases. As I am completely redesigning the database, any suggestions are valid including different DB types. There is currently a 3 month RANGE partition on the time column, as well as an INDEX.



      During my research I have done a few tests directly in the MySQL database. For instance a query to select every session in my table in a date range of 2 months, has a duration time of .453s and fetch time of 81s (returned 1.7 million rows). According to the accepted answer of this question, my bottleneck could really be the network connection between database and the application.



      What else could I do to get a significant performance increase?










      share|improve this question
















      I currently have a MySQL database that grows about 50,000 rows a day. When querying data out of the database, I query information from the info table and use a subquery on the session table to refine by date range like:



      SELECT info.sessionID, info.otherstuff, t.time FROM info
      INNER JOIN
      (SELECT session.sessionID, session.time FROM session
      WHERE session.time > :afterSomeDate AND session.time < :beforeSomeOtherDate) as t
      ORDER BY t.time DESC


      This causes an exponentially large bottleneck in query time as the date range increases. As I am completely redesigning the database, any suggestions are valid including different DB types. There is currently a 3 month RANGE partition on the time column, as well as an INDEX.



      During my research I have done a few tests directly in the MySQL database. For instance a query to select every session in my table in a date range of 2 months, has a duration time of .453s and fetch time of 81s (returned 1.7 million rows). According to the accepted answer of this question, my bottleneck could really be the network connection between database and the application.



      What else could I do to get a significant performance increase?







      database-design datetime






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Jan 9 at 20:02







      Jordan.J.D

















      asked Jan 8 at 16:45









      Jordan.J.DJordan.J.D

      1063




      1063






















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          Look into PostgresQL with Timescale Extension:



          https://docs.timescale.com/v1.1/using-timescaledb





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            Look into PostgresQL with Timescale Extension:



            https://docs.timescale.com/v1.1/using-timescaledb





            share








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            Syed Jafri is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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              0














              Look into PostgresQL with Timescale Extension:



              https://docs.timescale.com/v1.1/using-timescaledb





              share








              New contributor




              Syed Jafri is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                Look into PostgresQL with Timescale Extension:



                https://docs.timescale.com/v1.1/using-timescaledb





                share








                New contributor




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










                Look into PostgresQL with Timescale Extension:



                https://docs.timescale.com/v1.1/using-timescaledb






                share








                New contributor




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








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                answered 3 mins ago









                Syed JafriSyed Jafri

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