我有一个方法,它逐行从文件中读取数据并在昏迷之间取值,然后将此值放入INSERT查询中。以这种方式保存的文件中的数据:
–,08:10,–,20:20,08:15,08:16,20:26,20:27,08:20,08:21,20:31,20:32,08:30,08:31,20:40,20:41,08:37,08:38,20:46
20:47,08:48,08:50,20:56,20:57,09:00,09:01,21:07,21:08
08:53,–,17:43,09:01,09:03,09:13,09:15,18:02,18:04,–,–,09:19,09:25
这是我的实际代码:
public void insertTime(SQLiteDatabase database, String table) throws FileNotFoundException {
BufferedReader br = null;
String line;
try {
int j = 0;
br = new BufferedReader(new InputStreamReader(context.getAssets().open("time.txt")));
database.beginTransaction();
while ((line = br.readLine()) != null) {
j++;
String query = "INSERT INTO "+table+""+j+" (arrival, departure) VALUES (?,?)";
SQLiteStatement statement = database.compileStatement(query);
// use comma as separator
String[] time = line.split(",");
for(int i = 1; i < time.length; i+=2) {
statement.bindString(1,time[i-1]);//arrival
statement.bindString(2,time[i]);//departure
statement.executeInsert();
statement.clearBindings();
}
}
database.setTransactionSuccessful();
database.endTransaction();
} catch (IOException e) {
e.printStackTrace();
} finally {
if (br != null) {
try {
br.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
}
问题是数据插入速度非常慢,尽管我使用SQLiteStatement
和transactions
。例如,当我插入69000行时,大约需要65,929秒。
我在代码中有哪些更改以提高插入速度?
更新
好的,我已经简化了我的代码,我摆脱了BufferedReader,现在它看起来像这样
public void insertTime(SQLiteDatabase database) throws FileNotFoundException {
database.beginTransaction();
int r = 0;
while (r < 122) {
r++;
String query = "INSERT INTO table_1 (arrival, departure) VALUES (?,?)";
SQLiteStatement statement = database.compileStatement(query);
for(int i = 1; i < 1100; i++) {
statement.bindString(1,i+"");//arrival
statement.bindString(2,i+"");//departure
statement.executeInsert();
statement.clearBindings();
}
}
database.setTransactionSuccessful();
database.endTransaction();
}
但它仍然可以插入数据,超过2分钟。你有什么想法如何提高我的第二个例子的速度?
答案 0 :(得分:1)
Here是关于提高SQL插入速度的每种方法的非常详细的帖子。
答案 1 :(得分:0)
将-
和beginTransaction()
移到setTransactionSuccessful()
循环之外,速度会更快。
答案 2 :(得分:0)
为router.put('/:id', function(req, res, next) {
db.suppliers.save(
{
id: +req.params.id,
name: req.body.name,
email: req.body.email,
column1: req.body.column1,
column2: req.body.column2,
column3: req.body.column3,
manyOtherColumns: req.body.manyOtherColumns,
etc...
}, function (err, result) {
if (err) {
return next(err);
}
return res.status(200).json({
status: 'SUCCESS',
message: 'Supplier has been saved'
});
})
});
循环中的每个项启动新事务。
如果您只有1个事务来完成所有插入操作,它可能会更快一些。
此外,如果您的数据已损坏并且while()
没有为您提供至少2个项目,那么由于String.split
被抛出,您的交易将无法正常结束。
答案 3 :(得分:0)
Every time you insert a row in a table with indexes, the indexes have to be adjusted. That operation can be costly. Indexes are kept as b-trees and if you hit the rebalance point, you're bound to have a slowdown. One thing you can do to test this is to remove your indexes. You could also drop the indexes, insert, then re-create the indexes.
答案 4 :(得分:0)
对于那些使用 JDBC (Java) 的人:可以肯定的是,您是否首先将 autoCommit 设置为 FALSE?
我猜是这样,因为您处理的是显式事务。
通过明确设置自动提交关闭我获得的性能提升超过 1000 次!
所以:
Class.forName("org.sqlite.JDBC");
String urlInput = "jdbc:sqlite:" + databaseFile;
databaseConnection = DriverManager.getConnection(urlInput);
databaseConnection.setAutoCommit( false);
还有:
String sql = "INSERT INTO " + TABLE_NAME + " ( type, bi, ci, fvi, tvi, content_type) VALUES ('V',?,?,?,?,'rtf')";
PreparedStatement psi = databaseConnection.prepareStatement(sql);
for( Item item : items) {
psi.setInt(1, item.property1);
// ....
count = psi.executeUpdate();
}
databaseConnection.commit();
databaseConnection.setAutoCommit( true);
所以,当有人忘记这一点时,这可能会产生巨大的影响。