数据库设计以加快大型数据集的冬眠查询

Question

我目前有以下表格，代表了一个映射在休眠状态的公交网络，从基于春季MVC的总线路由计划器访问我，我试图使我的路线计划申请的执行速度更快，我将上述所有表加载到列表中，以执行路由策划者逻辑。

如果有人对如何加快我的表演或其他方法来处理此大量数据问题的任何建议，我将不胜感激

    Coordinate Connections Table (INT,INT,INT)( Containing 50,000 Coordinate Connections)
    ID, FROMCOORDID, TOCOORDID
    1   1               2       
    2   1               17      
    3   1               63      
    4   1               64      
    5   1               65      
    6   1               95      

    Coordinate Table (INT,DECIMAL, DECIMAL) (Containing 4700 Coordinates)
    ID ,  LAT,       LNG
    0   59.352669   -7.264341
    1   59.352669   -7.264341
    2   59.350012   -7.260653
    3   59.337585   -7.189798
    4   59.339221   -7.193582
    5   59.341408   -7.205888

    Bus Stop Table (INT, INT, INT)(Containing 15000 Stops)
    StopID    RouteID COORDINATEID
    1000100001  100     17  
    1000100002  100     18  
    1000100003  100     19  
    1000100004  100     20  
    1000100005  100     21  
    1000100006  100     22  
    1000100007  100     23  

这是从每个表加载所有数据所需的时间：

    stop.findAll  = 148ms,  stops.size: 15670
    Hibernate: select coordinate0_.COORDINATEID as COORDINA1_2_, coordinate0_.LAT as LAT2_, coordinate0_.LNG as LNG2_ from COORDINATES coordinate0_
    coord.findAll =  51ms , coordinates.size: 4704
    Hibernate: select coordconne0_.COORDCONNECTIONID as COORDCON1_3_, coordconne0_.DISTANCE as DISTANCE3_, coordconne0_.FROMCOORDID as FROMCOOR3_3_, coordconne0_.TOCOORDID as TOCOORDID3_ from COORDCONNECTIONS coordconne0_
    coordinateConnectionDao.findAll  = 238ms ; coordConnectioninates.size:48132

冬眠注释

    @Entity
    @Table(name = "STOPS")
    public class Stop implements Serializable {

        @Id
        @GeneratedValue
        @Column(name = "COORDINATEID")
        private Integer CoordinateID;


        @Column(name = "LAT")
        private double latitude;


        @Column(name = "LNG")
        private double longitude;

    }




    @Table(name = "COORDINATES")
    public class Coordinate {

        @Id
        @GeneratedValue
        @Column(name = "COORDINATEID")
        private Integer CoordinateID;


        @Column(name = "LAT")
        private double latitude;


        @Column(name = "LNG")
        private double longitude;
    }

    @Entity
    @Table(name = "COORDCONNECTIONS")
    public class CoordConnection {

        @Id
        @GeneratedValue
        @Column(name = "COORDCONNECTIONID")
        private Integer CoordinateID;

        /**
         * From Coordinate_id value
         */
        @Column(name = "FROMCOORDID", nullable = false)
        private int fromCoordID;

        /**
         * To Coordinate_id value
         */
        @Column(name = "TOCOORDID", nullable = false)
        private int toCoordID;
        //private Coordinate toCoordID;
    }

hashmap-> coodinateId坐标代码

private void setupCoordinateIDToCoordinate() {
    HashMap<Integer, Coordinate> coordinateIDToCoordinate = new HashMap<Integer, Coordinate>();
    List<Coordinate> coordinates = coordinateDao.findAll();
    Iterator <Coordinate> itr = coordinates.iterator();
    Coordinate c;
    while(itr.hasNext()) {
        c = itr.next();
        coordinateIDToCoordinate.put(c.getCoordinateID(),c);
    }
}

Answer 1

使用Hibernate实施Ehcache帮助我提高了性能

Answer 2

考虑一下使用MySQL中的dumply命令，让您了解最好放置索引的位置。

下面的链接很好地解释了它。

http://forums.spry.com/howtos/1345-using-mysqls-explain-command.html