optimization

Optimize EF Core query with Include()

南笙酒味 提交于 2020-08-05 09:25:01
问题 I have following query within my project and it is consuming lot of time to execute. I am trying to optimize it, but not able to successfully do it. Any suggestions would be highly appreciated. _context.MainTable .Include(mt => mt.ChildTable1) .Include(mt => mt.ChildTable1.ChildTable2) .Include(mt => mt.ChildTable3) .Include(mt => mt.ChildTable3.ChildTable4) .SingleOrDefault( mt => mt.ChildTable3.ChildTable4.Id == id && mt.ChildTable1.Operation == operation && mt.ChildTable1.Method = method &

Optimize EF Core query with Include()

我只是一个虾纸丫 提交于 2020-08-05 09:24:29
问题 I have following query within my project and it is consuming lot of time to execute. I am trying to optimize it, but not able to successfully do it. Any suggestions would be highly appreciated. _context.MainTable .Include(mt => mt.ChildTable1) .Include(mt => mt.ChildTable1.ChildTable2) .Include(mt => mt.ChildTable3) .Include(mt => mt.ChildTable3.ChildTable4) .SingleOrDefault( mt => mt.ChildTable3.ChildTable4.Id == id && mt.ChildTable1.Operation == operation && mt.ChildTable1.Method = method &

Why is Fetch task in Hive works faster than Map-only task?

|▌冷眼眸甩不掉的悲伤 提交于 2020-07-29 07:57:45
问题 It is possible to enable Fetch task in Hive for simple query instead of Map or MapReduce using hive hive.fetch.task.conversion parameter. Please explain why Fetch task is running much faster than Map especially when doing some simple work (for example select * from table limit 10; )? What map-only task is doing additionally in this case? The performance difference is more than 20 times faster in my case. Both tasks should read the table data, isn't it? 回答1: FetchTask directly fetches data,

Why is Fetch task in Hive works faster than Map-only task?

随声附和 提交于 2020-07-29 07:57:09
问题 It is possible to enable Fetch task in Hive for simple query instead of Map or MapReduce using hive hive.fetch.task.conversion parameter. Please explain why Fetch task is running much faster than Map especially when doing some simple work (for example select * from table limit 10; )? What map-only task is doing additionally in this case? The performance difference is more than 20 times faster in my case. Both tasks should read the table data, isn't it? 回答1: FetchTask directly fetches data,

Slow Archiving Google Apps Script

一曲冷凌霜 提交于 2020-07-23 06:59:27
问题 I'm working on a finances tracking sheet and have the entry part of it completed, and working fine. The problem is, it runs very slowly as it goes line by line in most cases. Aside from it being a lot of code, I can't figure out how to speed it up or batch anything together. Additionally, the braces for the beginning and ending of the function in question are not connected (they are both colored red when the cursor is next to them), which I can't understand. Can anyone help clean up my code a

Slow Archiving Google Apps Script

柔情痞子 提交于 2020-07-23 06:58:11
问题 I'm working on a finances tracking sheet and have the entry part of it completed, and working fine. The problem is, it runs very slowly as it goes line by line in most cases. Aside from it being a lot of code, I can't figure out how to speed it up or batch anything together. Additionally, the braces for the beginning and ending of the function in question are not connected (they are both colored red when the cursor is next to them), which I can't understand. Can anyone help clean up my code a

Slow Archiving Google Apps Script

江枫思渺然 提交于 2020-07-23 06:57:06
问题 I'm working on a finances tracking sheet and have the entry part of it completed, and working fine. The problem is, it runs very slowly as it goes line by line in most cases. Aside from it being a lot of code, I can't figure out how to speed it up or batch anything together. Additionally, the braces for the beginning and ending of the function in question are not connected (they are both colored red when the cursor is next to them), which I can't understand. Can anyone help clean up my code a

How to load (or map) file part maximum size, but fit in RAM on Windows?

|▌冷眼眸甩不掉的悲伤 提交于 2020-07-23 06:22:23
问题 There is big file. I need fast sort it. I going to process the file by part, that fit in RAM, to avoid/degrees using page file (next step: merge parts). How to use max RAM? My solution: use WinApi file memory mapping, but I don't knew how to get part of file maximum size, but fit RAM (how to determine size)? 回答1: You can VirtualLock the pages you want to process. It locks in physical memory the size you need (if there is enough) swapping others to the paging file. You can use the

How to load (or map) file part maximum size, but fit in RAM on Windows?

情到浓时终转凉″ 提交于 2020-07-23 06:20:42
问题 There is big file. I need fast sort it. I going to process the file by part, that fit in RAM, to avoid/degrees using page file (next step: merge parts). How to use max RAM? My solution: use WinApi file memory mapping, but I don't knew how to get part of file maximum size, but fit RAM (how to determine size)? 回答1: You can VirtualLock the pages you want to process. It locks in physical memory the size you need (if there is enough) swapping others to the paging file. You can use the

How to extract optimization problem matrices A,b,c using JuMP in Julia

孤人 提交于 2020-07-22 06:00:17
问题 I create an optimization model in Julia-JuMP using the symbolic variables and constraints e.g. below using JuMP using CPLEX # model Mod = Model(CPLEX.Optimizer) # sets I = 1:2; # Variables x = @variable( Mod , [I] , base_name = "x" ) y = @variable( Mod , [I] , base_name = "y" ) # constraints Con1 = @constraint( Mod , [i in I] , 2 * x[i] + 3 * y[i] <= 100 ) # objective ObjFun = @objective( Mod , Max , sum( x[i] + 2 * y[i] for i in I) ) ; # solve optimize!(Mod) I guess JuMP creates the problem