加速大数据集休眠查询的数据库设计
我目前有下表代表在休眠中映射的公交网络,可从基于 Spring MVC 的公交路线规划器访问 我试图让我的路线规划器应用程序执行得更快,我将上述所有表格加载到列表中以执行路线规划器逻辑。
如果有人对如何提高我的表现有任何想法,我将不胜感激 或者有任何其他方法来解决处理大量数据的问题
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
Hibernate Annotations
@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 到坐标代码
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);
}
}
I currently have the below tables representing a bus network mapped in hibernate, accessed from a Spring MVC based bus route planner
I'm trying to make my route planner application perform faster, I load all the above tables into Lists to perform the route planner logic.
I would appreciate if anyone has any ideas of how to speed my performace
Or any suggestions of another method to approach this problem of handling a large set of data
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
This is how long it takes to load all the data from each table:
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
Hibernate Annotations
@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 to Coordinate code
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);
}
}
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看看如何使用 mysql 中的解释命令,让您了解最好将索引放在哪里。
下面的链接很好地解释了这一点。
http://forums.spry.com/howtos/1345-使用-mysqls-explain-command.html
Take a look at using the explain command in mysql to give you some idea of where it would be best to put indexes.
The link below explains it quite well.
http://forums.spry.com/howtos/1345-using-mysqls-explain-command.html
使用 Hibernate 实现 EhCache 帮助我提高了性能
Implementing EhCache with Hibernate helped me improve the performance