【发布时间】:2015-04-12 20:38:08
【问题描述】:
我使用 sqlite 来存储数据。我正在尝试从 sqlite 表视图中获取数据并填充 java 中的对象数组,但查询执行需要很长时间。 我只有 32 个具有 22 个字段的对象,以及具有 380 行的 sqlite。 但是执行类似的语句花了我 17 秒来处理 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-jdbc 驱动程序从 3.7.2 更新到 3.8.5 后,时间从 17 秒降低到 9 秒。
如何提高其性能?
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
【问题讨论】:
-
哪个 Java 语句花费的时间最多?
-
ResultSet rs = stmt.executeQuery(sql)
-
显示视图定义、所有索引以及EXPLAIN QUERY PLAN的输出。
-
查看定义和解释查询计划在我编辑的帖子中
标签: java performance sqlite netbeans jdbc