我用sqlite存储数据。我试图从sqlite视图中获取数据,并在java中填充对象数组,但是执行查询需要很长时间。我只有32个对象有22个字段,sqlite有380行。但是,为了执行类似的语句,我花了17秒钟的时间完成了32个对象。
sql = "SELECT "
+ " field1,"
+ " field2,"
....
+ " field22"
+ " from Rankedview WHERE Ranking = " + Integer.toString(RankingIndex);
try (ResultSet rs = stmt.executeQuery(sql)) {
while (rs.next()) {
a[j].field1= rs.getString("field1");
..........
a[j].field22 = rs.getInt("field22");
}
}在我将sqlite驱动程序从3.7.2升级到3.8.5之后,时间从17秒降到了9秒。

我如何提高它的性能?
编辑:
视图定义(ATP是一个表)
CREATE VIEW Ranked AS
SELECT p1.ID,
p1.field2,
...
p1.field21,
(
SELECT count() + (
SELECT count() + 1
FROM Table AS p2
WHERE p2.field21 = p1.field21 AND
p2.id > p1.id
)
FROM ATP AS p2
WHERE p2.field21 > p1.field21
)
AS Ranking
FROM ATP AS p1
ORDER BY Ranking ASC;解释查询计划输出:
selectid order from detail
0 0 0 SCAN TABLE ATP AS p1
0 0 0 EXECUTE CORRELATED SCALAR SUBQUERY 1
1 0 0 SCAN TABLE ATP AS p2
1 0 0 EXECUTE CORRELATED SCALAR SUBQUERY 2
2 0 0 SEARCH TABLE ATP AS p2 USING INTEGER PRIMARY KEY (rowid>?)
0 0 0 EXECUTE CORRELATED SCALAR SUBQUERY 3
3 0 0 SCAN TABLE ATP AS p2
3 0 0 EXECUTE CORRELATED SCALAR SUBQUERY 4
4 0 0 SEARCH TABLE ATP AS p2 USING INTEGER PRIMARY KEY (rowid>?)
0 0 0 EXECUTE CORRELATED SCALAR SUBQUERY 5
5 0 0 SCAN TABLE ATP AS p2
5 0 0 EXECUTE CORRELATED SCALAR SUBQUERY 6
6 0 0 SEARCH TABLE ATP AS p2 USING INTEGER PRIMARY KEY (rowid>?)
0 0 0 USE TEMP B-TREE FOR ORDER BY发布于 2015-04-13 10:40:34
要获得具有特定秩的行,不应该手工计算秩,而是使用限制/抵消条款
SELECT ...
FROM ATP
ORDER BY field21, id
LIMIT 1 OFFSET x这仍然需要对所有表行进行排序,以确定哪个是x-,但比多个嵌套表扫描效率高得多。
https://stackoverflow.com/questions/29594381
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