我正在为我的数据库使用System.Data.SQLite,而我的select语句非常慢。查询大约5000行数据大约需要3-5分钟。这是我正在使用的代码:
string connectionString;
connectionString = string.Format(@"Data Source={0}", documentsFolder + ";Version=3;New=False;Compress=True;");
//Open a new SQLite Connection
SQLiteConnection conn = new SQLiteConnection(connectionString);
conn.Open();
SQLiteCommand cmd = new SQLiteCommand();
cmd.Connection = conn;
cmd.CommandText = "Select * From urls";
//Assign the data from urls to dr
SQLiteDataReader dr = cmd.ExecuteReader();
SQLiteCommand com = new SQLiteCommand();
com.CommandText = "Select * From visits";
SQLiteDataReader visit = com.ExecuteReader();
List<int> dbID2 = new List<int>();
while (visit.Read())
{
dbID2.Add(int.Parse(visit[1].ToString()));
}
//Read from dr
while (dr.Read())
{
string url = dr[1].ToString();
string title = dr[2].ToString();
long visitlong = Int64.Parse(dr[5].ToString());
string browser = "Chrome";
int dbID = int.Parse(dr[0].ToString());
bool exists = dbID2.Any(item => item == dbID);
int frequency = int.Parse(dr["visit_count"].ToString());
bool containsBoth = url.Contains("file:///");
if (exists)
{
if (containsBoth == false)
{
var form = Form.ActiveForm as TestURLGUI2.Form1;
URLs.Add(new URL(url, title, browser, visited, frequency));
Console.WriteLine(String.Format("{0} {1}", title, browser));
}
}
}
//Close the connection
conn.Close();
这是另一个需要很长时间的例子:
IEnumerable<URL> ExtractUserHistory(string folder, bool display)
{
// Get User history info
DataTable historyDT = ExtractFromTable("moz_places", folder);
// Get visit Time/Data info
DataTable visitsDT = ExtractFromTable("moz_historyvisits",
folder);
// Loop each history entry
foreach (DataRow row in historyDT.Rows)
{
// Select entry Date from visits
var entryDate = (from dates in visitsDT.AsEnumerable()
where dates["place_id"].ToString() == row["id"].ToString()
select dates).LastOrDefault();
// If history entry has date
if (entryDate != null)
{
// Obtain URL and Title strings
string url = row["Url"].ToString();
string title = row["title"].ToString();
int frequency = int.Parse(row["visit_count"].ToString());
string visit_type;
//Add a URL to list URLs
URLs.Add(new URL(url, title, browser, visited, frequency));
// Add entry to list
// URLs.Add(u);
if (title != "")
{
Console.WriteLine(String.Format("{0} {1}", title, browser));
}
}
}
return URLs;
}
DataTable ExtractFromTable(string table, string folder)
{
SQLiteConnection sql_con;
SQLiteCommand sql_cmd;
SQLiteDataAdapter DB;
DataTable DT = new DataTable();
// FireFox database file
string dbPath = folder + "\\places.sqlite";
// If file exists
if (File.Exists(dbPath))
{
// Data connection
sql_con = new SQLiteConnection("Data Source=" + dbPath +
";Version=3;New=False;Compress=True;");
// Open the Connection
sql_con.Open();
sql_cmd = sql_con.CreateCommand();
// Select Query
string CommandText = "select * from " + table;
// Populate Data Table
DB = new SQLiteDataAdapter(CommandText, sql_con);
DB.Fill(DT);
// Clean up
sql_con.Close();
}
return DT;
}
现在,我如何优化它们以便它们更快?
答案 0 :(得分:1)
除了将更多的数据聚合作为连接移动到SQL之外,您还可以考虑让SQLiteDataReader
提供数据类型,而不是始终解析值。
例如,您有以下行:
long visitlong = Int64.Parse(dr[5].ToString());
dr[5]
是一个Sqlite值,您首先将其转换为字符串,然后将其解析为long。这些解析操作需要时间。为什么不这样做:
long visitlong = dr.GetInt64(5);
或者:
long visitlong = dr.GetInt64(dr.GetOrdinal("columnName"));
查看the various methods that SqliteDataReader offers并尽可能使用它们,而不是解析值。
修改强>
请注意,这需要将数据存储为正确的类型。如果数据库中的所有内容都存储为字符串,则某些解析将是不可避免的。
答案 1 :(得分:0)
确保您最近运行SQL命令“ANALYZE {db | table | index};”。
我最近在我的ER软件(Navicat)中遇到了查询运行速度快(<1秒)的情况,即:没有调试,但在Visual Studio中调试非常慢(> 1分钟)。事实证明,因为我在Navicat(SQLite v3.7)中进行了数据库设计,所以统计信息与Visual Studio(v3.8)中System.Data.SQLite使用的统计信息不同。运行“ANALYZE;”在Visual Studio的整个数据库文件中更新了v3.8使用的[sqlite_statX]表。之后两个地方的速度都是一样的。