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Increase performance C #

I have the following code that works well until the input size reaches 1000. After that, it takes more than 2 milliseconds for the process to complete. Any help?

using system;
using System.Collections.Generic;
using System.Linq;

Class program
{
public static void Main (string[] arguments)
{
var numbersCount = int.Parse (Console.ReadLine ()); // 6
var nums = Console.ReadLine (); // 1 1 1 2 2 0
var numsArr = nums.Split (& # 39;) .Select (n => Convert.ToInt32 (n)). ToArray ();

var queriesCount = int.Parse (Console.ReadLine ()); // 6
var numsDicOcc = new list <dictionary> ();

for (var j = 1; j <= queriesCount; j++)
{
    var x = int.Parse(Console.ReadLine());
    var occ = numsArr.Count(p => p == x);
var dic2 = new dictionary {{x, occ.ToString ()}};
if (occ == 0) numsDicOcc.Add (new dictionary {{x, "NOT PRESENT"}});
otherwise if (! numsDicOcc.Contains (dic2))
numsDicOcc.Add (dic2);
otherwise numsDicOcc[j][x]    = occ.ToString ();
}

for (var index = 0; index <numsDicOcc.Count; index ++)
Console.WriteLine (numsDicOcc[index].First (). Value);
}
}

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Collect data for employee performance review using the SharePoint list

I've developed a SharePoint site for performance review.

The site has a custom HTML page with jQuery that creates / updates a record using REST, and this page is blind using the ASPX page. (I'll explain the features used on this page at the end of this question.)

I have granted edit permission to all end users to use the ASPX page to create / update a record in the performance review list. (The validation on custom pages is done manually.)

To hide the performance review list data from end users, I set audience targeting for all members of the performance list view

I feel that I can do something better than I have developed. I need your suggestions to know how to build this better.

I have SharePoint 2013 and SharePoint Online, please suggest for both.

About custom HTML page

It has sections like this,

  • Section 1 Employee Comments
  • Section 1 Self-assessment of employees
  • Section 1 Comments to the Manager
  • Section 1 Manager Rating

such 4 sections are there.
When an employee opens the form, manager columns are hidden with jQuery.
When Manager opens the form, manager columns are displayed and employee columns are read-only using jQuery.

How did I determine when to open the same form as Employees and Managers?

When an employee fills in and submits the form (when a record is created), the designer workflow sends an email to the manager that includes a link with a parameter (employee_unique_id).
jQuery checks if the parameter has been passed so manager-related columns will be opened to be filled in by the manager.

Performance Optimization – Signed Cell Adjacency Matrices (Border Operators)

In How do you get the cell adjacency graph of a network? There are some good answers that show how to get the cell adajacency matrix of a network. How could one generalize these to take into account the alignment of the cells? That is, I want to compute the boundary operators, $ partial_i: C_i (M) to C_ {i-1} (M) $ on the net that is displayed, for example, if you want to calculate the simple homology …

I was pretty stuck even though I noticed the induced alignment of edges and vertices

Performance run functions for each row in the Python data frame

I want to retrieve table names and column names from queries in a data frame. The data frame looks like this:

date query
29-03-2019 SELECT * FROM table WHERE ..
30-03-2019 SELECT * FROM ... JOIN ... ON ... WHERE ..
.... ....
20-05-2019 CHOOSE ...

and i execute function to get this data frame table name from the queries.

Import sqlparse
from sqlparse.tokens import keyword, DML

def getTableKey (parsed):
findFrom = False
wordKey = set (
        [
            "FROM",
            "JOIN",
            "LEFT JOIN",
            "INNER JOIN",
            "RIGHT JOIN",
            "OUTER JOIN",
            "FULL JOIN",
        ]
    )
for word in parsed.tokens:
if word.is_group:
Yield from getTableKey (word)
if findFrom:
if isSelect (word):
Yield from getTableKey (word)
elif word.ttype is keyword:
findFrom = False
StopIteration
otherwise:
Give a word
if word.ttype keyword and word.value.upper () in wordKey is:
findFrom = True


def getTableName (sql):
tableReg = re.compile (r "^. +? (? <=[.]) ")
tableName = []
    query = sqlparse.parse (sql)
for the word you are looking for:
if word.get_type ()! = "UNKNOWN":
stream = getTableKey (word)
table = set (getWord (stream))
for articles in table:
tabl = tableReg ("", item)
tableName.append (tabl)
Return tableName

I also run to get to work column name of queries.

def getKeyword (parsed):
kataKeyword = set (["WHERE", "ORDER BY", "ON", "GROUP BY", "HAVING", "AND", "OR"])
from_seen = False
for articles in parsed.tokens:
if item.is_group:
Return from getKeyword (item)
if from_seen:
if isSelect (item):
Return from getKeyword (item)
elif item.ttype is keyword:
from_seen = False
StopIteration
otherwise:
income items
if item.ttype is keyword and item.value.upper () is in kataKeyword:
from_seen = true


def getAttribute (sql):
attReg = re.compile (r "up | down", re.IGNORECASE)
namaAtt = []
    kueri = sqlparse.parse (sql)
for kata in kueri:
if kata.get_type ()! = "UNKNOWN":
stream = getKeyword (kata)
table = set (getWord (stream))
for articles in table:
tabl = attReg ("", item)
namaAtt.append (tabl)
return namaAtt

So I call these functions up in the function GetTableAttribute, In this function, the command is executed in each line getTableName Function until it is finished and then continue to execute the function getAttribute,

def getTableAttribute (dF):
df2 = dF.copy ()
df 2["tableName"] = df2["Query"].apply (sp.getTableName)
df 2["attributeName"] = df2["Query"].apply (sp.getAttribute)
df2.drop ("Query", Axis = 1, Inplace = True)
Print ("Done  n")
return df2

The output I get looks like this:

Date tableName attributeName
29-03-2019  [tableN]                      [attM]



30-03-2019  [tableA as A,tableC as C]     [A.attB, C.attD]



.... ... ...
20-05-2019  [tableF]                      [attG]

But since this is my first attempt, I need an opinion on what I've tried, since my code runs slowly with a large file.

Performance – VB6 XML Shredder speeds up

I'm working with an older VB6 XML shredder that extracts information from proprietary XML files and loads it into a SQL Server database. It works, but it is slow. I'm looking for suggestions to speed it up.

There are 3 main reasons why it is slow. First of all, hundreds of thousands of XML files have to be processed. Second, the XML files are complex. They contain hundreds of elements, but I'm only interested in about 3 dozen of these elements. Third (and I think this is the big one), the existing code recursively parses the entire XML file, even though I'm only interested in about three dozen of the hundreds of elements in each XML file. I can not do anything about the first issue, but there may be room for improvement with regards to the second and third editions.

The document shredder is currently recursively processing each XML file one by one Select case Structure as shown in pseudocode below. Therefore, each item is included in every XML file, even though I only extract information from about 3 dozen of those hundreds of items. Are there any obvious ways to speed things up? For example, instead of recursively parsing the entire XML file, can I somehow just extract and analyze the approximately three dozen elements that interest me? That's basically what happens to that Select case Structure, but maybe there is a faster way? One complication is that some of the items I'm interested in have an indeterminate number of child nodes and I need to extract information from each of these child nodes, so I probably still need to recursively parse those items. Is it possible to recursively parse only a few selected elements without recursively parsing the entire XML file?

I should mention that the shredder is based on a template that I found online. I've managed to adapt it to my needs, but I have to speed it up. The original template recursively parses the entire XML file, but I've found that this is not the best approach in my situation. I'm not very experienced with XPath, but if anyone can suggest a faster pseudo-code alternative to what I'm doing now, I'd appreciate it.

Public Sub shredXML (ByRef node as MSXML2.IXMLDOMNodeList)

Dim xNode As MSXML2.IXMLDOMNode

For every xNode In node

If xNode.nodeType = NODE_ELEMENT then

Select Case xNode.nodeName

Case "element1"
Extract stuff from element1 and upload it to the database
Case "element2"
Extract stuff from element2 and upload it to the database
Case "element3"
Extract stuff from element3 and upload it to the database
...
Case "elementN"
Extract things from ElementN and upload them to the database

Select end

End If

If xNode.hasChildNodes, then parse the XML file
shredXML xNode.childNodes & # 39; recursive
End If

Next xNode

End Sub

Performance – The response times of Django WSGI applications skyrocket under heavy load

We have a Django application that runs with mod_wsgi and WSGIDaemonProcess. We now have a lot of traffic and response times have increased tremendously, but the CPU usage on our servers is 5-10% low.

Can not figure out where the bottleneck is. After a short while, we get this error in the Apache error log:

Timeout reading response headers from the daemon process & # 39; wsgi & # 39;

We are happy to provide you with additional protocols. This is the daemon process configuration:

WSGIDaemonProcess wsgi processes = 100 threads = 10 maximum requirements = 500 display name =% {GROUP}

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Price – $ 209 / month (first month rebate – $ 104.5 / month)
== >>> ASSIGNMENT

Check out HostingSource MULTI-CPU – SERVER (SSD-storage optional):
All packages include a one-year free domain!

Dedicated Server – Dual Xeon X5660 – CPU with 12 cores
RAM: 64 GB
Memory (H / W RAID-1): 2 TB – SAS
Traffic / month: not measured
Price – $ 229 / month (1st month rebate – $ 114.5 / month)
== >>> ASSIGNMENT

Dedicated Server – Dual Xeon E5-2670 – CPU with 12 cores
RAM: 64 GB
Memory (H / W RAID-1): 2 TB – SAS
Traffic / month: not measured
Price – 259 USD / month (first month rebate – 129.5 USD / month)
== >>> ASSIGNMENT

Dedicated server – Dual Xeon E5-2670 – 16-core CPU
RAM: 128 GB
Memory (H / W RAID-1): 2 TB – SAS
Traffic / month: not measured
Price – $ 299 / month (first month rebate – $ 149.5 / month)
== >>> ASSIGNMENT

Dedicated server – Dual Xeon E5-2670 – 16-core CPU
RAM: 256 GB
Memory (H / W RAID-10): 2 TB – SAS
Traffic / month: not measured
Price – 339 USD / month (first month rebate – 169.5 USD / month)
== >>> ASSIGNMENT

Check out HostingSource STORAGE – SERVER:
All packages include a one-year free domain!

Storage Server – Core I5 ​​Quad Core 3.4GHz Intel CPU, 6TB (Raid1)
RAM: 8 GB; Memory: 6 TB (Raid1); Traffic / month: not measured
Price – 199 USD / month
== >>> ASSIGNMENT

Storage Server – Core i7 Quad Core Intel 4.0 GHz CPU, 12 TB (Raid10)
RAM: 16 GB; Memory: 12 TB (Raid10); Traffic / month: not measured
Price – 299 USD / month
== >>> ASSIGNMENT

Storage Server – Core i7 Quad Core Intel 4.0 GHz CPU, 18 TB (Raid10)
RAM: 24 GB; Memory: 18 TB (Raid10); Traffic / month: not measured
Price – 399 USD / month
== >>> ASSIGNMENT

Storage Server – Core i7 Quad Core Intel 4.0 GHz CPU, 24 TB (Raid10)
RAM: 32 GB; Memory: 24 TB (Raid10); Traffic / month: not measured
Price – $ 449 / month
== >>> ASSIGNMENT

FOR MORE DETAILS YOU CHECK: http://www.hostingsource.com/dedicated-servers/

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