sql server - Optimizing lengthy SQL query for datatable -


i want retrieve logs of logins on basis of date. in addition need functionality of jquery-datatable sorting , searching in it! have worked on many queries , datatables 1 tougher thought.

create procedure [dbo].[sp_login_logs] (     @sp_start_date datetime,     @sp_end_date datetime,     @sp_offset int,     @sp_count int,     @sp_search varchar(max),     @sp_sort int ) begin     select table1.email,table1.city,table1.latitude,table1.longitude,table1.first_log,     table1.last_log,table1.platform,table1.app      (select ll.email,        isnull(ll.city,'') city,        ll.latitude,        ll.longitude,        (select min(insertdate)        [loginlog]        email=ll.email) first_log,        ll.insertdate last_log,        case            when platform '%iphone%'                 or platform '%darwin%'                 or platform '%ipad%'                 or platform '%ios%' 'iphone'            else case                     when platform '%android%'                          or platform '%apache%' 'android'                     else 'iphone'                 end        end platform,        case            when app null 'consumer'            else app        end app     [loginlog] ll     id =         (select max(id)          [loginlog] ll2          ll2.email =ll.email          ,             (ll2.email '%'+@sp_search+'%'or             ll2.city '%'+@sp_search+'%'or             ll2.latitude '%'+@sp_search+'%'or             ll2.longitude '%'+@sp_search+'%'             )          )          , ll.email<>'' , ll.email<>'(null)'          , ll.insertdate>@sp_start_date , ll.insertdate<@sp_end_date          , loginsucess=1 , isnull(country, 'united states')='united states'     ) table1     where(             table1.first_log '%'+@sp_search+'%'or             table1.last_log '%'+@sp_search+'%'or             table1.platform '%'+@sp_search+'%'or             table1.app '%'+@sp_search+'%'                   )     order         case when (@sp_sort%100 = 01 , ((@sp_sort%1000)/100) = 1) table1.email end asc,         case when (@sp_sort%100 = 01 , ((@sp_sort%1000)/100) = 0) table1.email end desc,         case when (@sp_sort%100 = 02 , ((@sp_sort%1000)/100) = 1) table1.city end asc,         case when (@sp_sort%100 = 02 , ((@sp_sort%1000)/100) = 0) table1.city end desc,         case when (@sp_sort%100 = 03 , ((@sp_sort%1000)/100) = 1) table1.latitude end asc,         case when (@sp_sort%100 = 03 , ((@sp_sort%1000)/100) = 0) table1.latitude end desc,         case when (@sp_sort%100 = 04 , ((@sp_sort%1000)/100) = 1) table1.longitude end asc,         case when (@sp_sort%100 = 04 , ((@sp_sort%1000)/100) = 0) table1.longitude end desc,         case when (@sp_sort%100 = 05 , ((@sp_sort%1000)/100) = 1) table1.first_log end asc,         case when (@sp_sort%100 = 05 , ((@sp_sort%1000)/100) = 0) table1.first_log end desc,         case when (@sp_sort%100 = 06 , ((@sp_sort%1000)/100) = 1) table1.last_log end asc,         case when (@sp_sort%100 = 06 , ((@sp_sort%1000)/100) = 0) table1.last_log end desc,         case when (@sp_sort%100 = 07 , ((@sp_sort%1000)/100) = 1) table1.platform end asc,         case when (@sp_sort%100 = 07 , ((@sp_sort%1000)/100) = 0) table1.platform end desc,               case when (@sp_sort%100 = 08 , ((@sp_sort%1000)/100) = 1) table1.app end asc,         case when (@sp_sort%100 = 08 , ((@sp_sort%1000)/100) = 0) table1.app end desc             offset @sp_offset rows     fetch next @sp_count rows end

this works fine consumes lot of memory , time... can't wait 5 minutes more millions of records in it.

this table in case 1 needs :

create table [dbo].[loginlog](     [id] [bigint] identity(1,1) not null,     [email] [nvarchar](max) null,     [platform] [nvarchar](max) null,     [latitude] [nvarchar](max) null,     [longitude] [nvarchar](max) null,     [insertdate] [datetime] not null,     [modifieddate] [datetime] null,     [ipaddress] [nvarchar](55) null,     [city] [varchar](50) null,     [app] [varchar](55) null,     [country] [varchar](55) null, primary key clustered  (     [id] asc )with (pad_index = off, statistics_norecompute = off, ignore_dup_key = off, allow_row_locks = on, allow_page_locks = on) )

thank you!

i think there not lot can do. problem case in sort if going kill optimization sql server may do. should @ query plan, , add recompile, @ end of day - query not going work efficient. dynamic sql efficient way go here - either client, or string manipulation in sp followed execute command execute sql string.

and non sargeable elements kill use of index - @ end, whoever designed database did extremely incompetent job here. there no proper way query efficiently.


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