I have the DB that contains billions of rows.
I created function that recieve from user number of parameters and cut the DB by those parameters.
This works well for me with small DB(30000 rows), but when I try to use this function on big DB I got TIMEOUTEXCEPTION from SQLSERVER.
Here is my code:
public static IQueryable<LogViewer.EF.InternetEF.Log> ExecuteInternetGetLogsQuery(FilterCriteria p_Criteria, ref GridView p_Datagrid)
{
IQueryable<LogViewer.EF.InternetEF.Log> internetQuery = null;
using (InternetDBConnectionString context = new InternetDBConnectionString())
{
internetQuery = context.Logs;
if ((p_Criteria.DateTo != null && p_Criteria.DateFrom != null))
{
internetQuery = internetQuery.Where(c => c.Timestamp >= p_Criteria.DateFrom && c.Timestamp < p_Criteria.DateTo);
}
else if (p_Criteria.DateFrom != null && p_Criteria.DateFrom > DateTime.MinValue)
{
internetQuery = internetQuery.Where(c => c.Timestamp >= p_Criteria.DateFrom);
}
else if (p_Criteria.DateTo != null && p_Criteria.DateTo > DateTime.MinValue)
{
internetQuery = internetQuery.Where(c => c.Timestamp < p_Criteria.DateTo);
}
if (!string.IsNullOrEmpty(p_Criteria.FreeText))
{
internetQuery = internetQuery.Where(c => c.FormattedMessage.Contains(p_Criteria.FreeText));
}
if (p_Criteria.Titles.Count > 0)
{
internetQuery = internetQuery.AsEnumerable().Where(c => p_Criteria.Titles.Contains(c.Title)).AsQueryable();
}
if (p_Criteria.MachineNames.Count > 0)
{
internetQuery = internetQuery.AsEnumerable().Where(c => p_Criteria.MachineNames.Contains(c.MachineName)).AsQueryable();
}
if (p_Criteria.Severities.Count > 0)
{
internetQuery = internetQuery.AsEnumerable().Where(c => p_Criteria.Severities.Contains(c.Severity)).AsQueryable();
}
internetQuery= internetQuery.OrderByDescending(c=>c.LogID);
if (internetQuery.Count() > p_Criteria.TopValue)
{
internetQuery = internetQuery.Take(p_Criteria.TopValue);
}
p_Datagrid.DataSource = internetQuery;
p_Datagrid.DataBind();
return internetQuery;
}
}
My version of SQL is 2005.
I got an exception on p_Datagrid.DataBind(); row.
Any suggetions?
Thanks
After a week of searching of solution I found this post. This work great with indexed DB with more than billion rows.
Here is my code solution:
I hope this will usefull for our community
Thanks