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  • How to get the right row in a sorted DataView?

    - by ZeissS
    Hi, I have a DataGrid containing a small table. Until now, I had a double click handler on this grid which iterated over all rows to find the selected one: DataTable table = (DataTable)this.dataGrid.DataSource; int selectedRow = -1; for (int i=0; i<table.Rows.Count; i++) if (this.dataGrid.IsSelected(i)) selectedRow = i; break; } if ( selectedRow != -1 ) { DataRow row = table.Rows[selectedRow]; // More code ... } Problem: When the user clicks on a column header and sort the table, table.Rows does not return the right rows. It still contains the unsorted rows. How can I get the right column?

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  • To copy data from a webpage into an array of structs and sorted by"name" before producing the data.

    - by Taylor
    include include include include using namespace std; struct productJewelry { string name; double amount; int itemCode; double size; string group; }; int main() { // declare variables ifstream inFile; int count=0; int x=0; productJewelry product[50]; inFile.open("jewelry.txt"); // file must be in same folder if (inFile.fail()) cout << "failed"; cout << fixed << showpoint; // fixed format, two decimal places cout << setprecision(2); while (inFile.peek() != EOF) { // cout << count << " : "; count++; inFile product[x].itemCode; inFile product[x].name; inFile product[x].size; inFile product[x].amount; inFile product[x].group; // cout << product[x].itemCode << ", " << product[x].name << ", "<< product[x].size << ", " << product[x].amount << endl; x++; if (inFile.peek() == '\n') inFile.ignore(1, '\n'); } inFile.close(); string temp; bool swap; do { swap = false; for (int x=0; xproduct[x+1].name) { //these 3 lines are to swap elements in array temp=product[x].name; product[x].name=product[x+1].name; product[x+1].name=temp; swap=true; } } } while (swap); for (x=0; x< count; x++) { //cout<< product[x].itemCode<<" "; //cout<< product[x].name <<" "; //cout<< product[x].size <<" "; //cout<< product[x].amount<<" "; //cout<< product[x].group<<" "<<endl; } system("pause"); // to freeze Dev-c++ output screen return 0; } // end main

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  • How should I do custom sort in Python 3?

    - by S.Mark
    In Python 2.x, I could pass custom function to sorted and .sort functions >>> x=['kar','htar','har','ar'] >>> >>> sorted(x) ['ar', 'har', 'htar', 'kar'] >>> >>> sorted(x,cmp=customsort) ['kar', 'htar', 'har', 'ar'] Because, in My language, consonents are comes with this order "k","kh",....,"ht",..."h",...,"a" But In Python 3.x, looks like I could not pass cmp keyword >>> sorted(x,cmp=customsort) Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: 'cmp' is an invalid keyword argument for this function Is there any alternatives or should I write my own sorted function too?

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  • wxpython - Nested Notebooks

    - by madtowneast
    I have been trying to make my nested notebooks a little bit more appealing code wise. At the moment, I got this #!/usr/bin/env python import os import sys import datetime import numpy as np from readmonifile import MonitorFile from sortmonifile import sort import wx class NestedPanelOne(wx.Panel): #---------------------------------------------------------------------- # First notebook that creates the tab to select the component number #---------------------------------------------------------------------- def __init__(self, parent, label, data): wx.Panel.__init__(self, parent=parent, id=wx.ID_ANY) sizer = wx.BoxSizer(wx.VERTICAL) #Loop creating the tabs according to the component name nestedNotebook = wx.Notebook(self, wx.ID_ANY) for slabel in sorted(data[label].keys()): tab = NestedPanelTwo(nestedNotebook, label, slabel, data) nestedNotebook.AddPage(tab,slabel) sizer = wx.BoxSizer(wx.VERTICAL) sizer.Add(nestedNotebook, 1, wx.ALL|wx.EXPAND, 5) self.SetSizer(sizer) class NestedPanelTwo(wx.Panel): #------------------------------------------------------------------------------ # Second notebook that creates the tab to select the main monitoring variables #------------------------------------------------------------------------------ def __init__(self, parent, label, slabel, data): wx.Panel.__init__(self, parent=parent, id=wx.ID_ANY) sizer = wx.BoxSizer(wx.VERTICAL) nestedNotebook = wx.Notebook(self, wx.ID_ANY) for sslabel in sorted(data[label][slabel][data[label][slabel].keys()[0]].keys()): tab = NestedPanelThree(nestedNotebook, label, slabel, sslabel, data) nestedNotebook.AddPage(tab, sslabel) sizer.Add(nestedNotebook, 1, wx.ALL|wx.EXPAND, 5) self.SetSizer(sizer) class NestedPanelThree(wx.Panel): #------------------------------------------------------------------------------- # Third notebook that creates checkboxes to select the monitoring sub-variables #------------------------------------------------------------------------------- def __init__(self, parent, label, slabel, sslabel, data): wx.Panel.__init__(self, parent=parent, id=wx.ID_ANY) labels=[] chbox =[] chboxdict={} for ssslabel in sorted(data[label][slabel][data[label][slabel].keys()[0]][sslabel].keys()): labels.append(ssslabel) for item in list(set(labels)): cb = wx.CheckBox(self, -1, item) chbox.append(cb) chboxdict[item]=cb gridSizer = wx.GridSizer(np.shape(list(set(labels)))[0],3, 5, 5) gridSizer.AddMany(chbox) self.SetSizer(gridSizer) ######################################################################## class NestedNotebookDemo(wx.Notebook): #--------------------------------------------------------------------------------- # Main notebook creating tabs for the monitored components #--------------------------------------------------------------------------------- def __init__(self, parent, data): wx.Notebook.__init__(self, parent, id=wx.ID_ANY, style= wx.BK_DEFAULT ) for label in sorted(data.keys()): print label tab = NestedPanelOne(self,label, data) self.AddPage(tab, label) ######################################################################## class DemoFrame(wx.Frame): #---------------------------------------------------------------------- # Putting it all together #---------------------------------------------------------------------- def __init__(self,data): wx.Frame.__init__(self, None, wx.ID_ANY, "pDAQ monitoring plotting tool", size=(800,400) ) panel = wx.Panel(self) notebook = NestedNotebookDemo(panel, data) sizer = wx.BoxSizer(wx.VERTICAL) sizer.Add(notebook, 1, wx.ALL|wx.EXPAND, 5) panel.SetSizer(sizer) self.Layout() #Menu Bar to be added later ''' menubar = wx.MenuBar() file = wx.Menu() file.Append(1, '&Quit', 'Exit Tool') menubar.Append(file, '&File') self.SetMenuBar(menubar) self.Bind(wx.EVT_MENU, self.OnClose, id=1) ''' self.Show() #---------------------------------------------------------------------- if __name__ == "__main__": if len(sys.argv) == 1: raise SystemExit("Please specify a file to process") for f in sys.argv[1:]: data=sort.sorting(f) print data['stringHub'].keys() print data.keys() print data[data.keys()[0]].keys() print 'test' app = wx.PySimpleApp() frame = DemoFrame(data) app.MainLoop() print 'testend' and I would like to reduce this whole mess into something that only has three nested for loops, so something like for label in sorted(data.keys()): self.SubNoteBooks[label] = wx.Notebook(self.Notebook, wx.ID_ANY) self.Notebook.AddPage(self.SubNoteBooks[label], label) for slabel in sorted(data[label].keys()): self.SubNoteBooks[label][slabel] = wx.Notebook(self, wx.ID_ANY) self.SubNoteBooks[label].AddPage(self.SubNoteBooks[label][slabel], slabel) for sslabel in sorted(data[label][slabel][data[label][slabel].keys()[0]].keys()): self.SubNoteBooks[label][slabel][sslabel] = wx.Notebook(self.Notebook, wx.ID_ANY) self.Notebook.AddPage(self.SubNoteBooks[label][slabel][sslabel], sslabel) I have been trying to fiddle this around but the problem seems to be the line self.SubNoteBooks[label][slabel] = wx.Notebook(self, wx.ID_ANY) I get the error: Traceback (most recent call last): File "./reducelinenumbers.py", line 162, in <module> frame = DemoFrame(data) File "./reducelinenumbers.py", line 126, in __init__ self.SubNoteBooks[label][slabel] = wx.Notebook(self, wx.ID_ANY) TypeError: 'Notebook' object does not support item assignment I understand why notebook is being type raises a TypeError here. Is there a way around this? Thanks a bunch in advance.

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  • Displaying a Paged Grid of Data in ASP.NET MVC

    This article demonstrates how to display a paged grid of data in an ASP.NET MVC application and builds upon the work done in two earlier articles: Displaying a Grid of Data in ASP.NET MVC and Sorting a Grid of Data in ASP.NET MVC. Displaying a Grid of Data in ASP.NET MVC started with creating a new ASP.NET MVC application in Visual Studio, then added the Northwind database to the project and showed how to use Microsoft's Linq-to-SQL tool to access data from the database. The article then looked at creating a Controller and View for displaying a list of product information (the Model). Sorting a Grid of Data in ASP.NET MVC enhanced the application by adding a view-specific Model (ProductGridModel) that provided the View with the sorted collection of products to display along with sort-related information, such as the name of the database column the products were sorted by and whether the products were sorted in ascending or descending order. The Sorting a Grid of Data in ASP.NET MVC article also walked through creating a partial view to render the grid's header row so that each column header was a link that, when clicked, sorted the grid by that column. In this article we enhance the view-specific Model (ProductGridModel) to include paging-related information to include the current page being viewed, how many records to show per page, and how many total records are being paged through. Next, we create an action in the Controller that efficiently retrieves the appropriate subset of records to display and then complete the exercise by building a View that displays the subset of records and includes a paging interface that allows the user to step to the next or previous page, or to jump to a particular page number, we create and use a partial view that displays a numeric paging interface Like with its predecessors, this article offers step-by-step instructions and includes a complete, working demo available for download at the end of the article. Read on to learn more! Read More >

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  • How should I sort images in an isometric game so that they appear in the correct order?

    - by Andrew
    Hi! This seems like a rather simple problem but I am having a lot of difficulty with it. What should I do to properly sort images in an isometric game? In a normal 2d top-down game one could use the screen y axis to sort the images. In this example the trees are properly sorted but the isometric walls are not. Example image: sorted by screen y Wall2 is one pixel below wall1 therefore it is drawn after wall1. If I sort by the isometric y axis the walls appear in the correct order but the trees do not. Example image: sorted by isometric y

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  • How should I sort images in an isometric game so that they appear in the correct order?

    - by Andrew
    This seems like a rather simple problem but I am having a lot of difficulty with it. What should I do to properly sort images in an isometric game? In a normal 2d top-down game one could use the screen y axis to sort the images. In this example the trees are properly sorted but the isometric walls are not. Example image: sorted by screen y Wall2 is one pixel below wall1 therefore it is drawn after wall1. If I sort by the isometric y axis the walls appear in the correct order but the trees do not. Example image: sorted by isometric y

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  • Disk Search / Sort Algorithm

    - by AlgoMan
    Given a Range of numbers say 1 to 10,000, Input is in random order. Constraint: At any point only 1000 numbers can be loaded to memory. Assumption: Assuming unique numbers. I propose the following efficient , "When-Required-sort Algorithm". We write the numbers into files which are designated to hold particular range of numbers. For example, File1 will have 0 - 999 , File2 will have 1000 - 1999 and so on in random order. If a particular number which is say "2535" is being searched for then we know that the number is in the file3 (Binary search over range to find the file). Then file3 is loaded to memory and sorted using say Quick sort (which is optimized to add insertion sort when the array size is small ) and then we search the number in this sorted array using Binary search. And when search is done we write back the sorted file. So in long run all the numbers will be sorted. Please comment on this proposal.

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  • Nested queries in Arel

    - by Schrockwell
    I am attempting to nest SELECT queries in Arel and/or Active Record in Rails 3 to generate the following SQL statement. SELECT sorted.* FROM (SELECT * FROM points ORDER BY points.timestamp DESC) AS sorted GROUP BY sorted.client_id An alias for the subquery can be created by doing points = Table(:points) sorted = points.order('timestamp DESC').alias but then I'm stuck as how to pass it into the parent query (short of calling #to_sql, which sounds pretty ugly). How do you use a SELECT statement as a sub-query in Arel (or Active Record) to accomplish the above? Maybe there's an altogether different way to accomplish this query that doesn't use nested queries?

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  • Sorting manually generated index using perl script

    - by Pradeep Singh
    \item Bernoulli measure, 14 \item cellular automata \subitem Soft, 3, 28 \subitem balance theorem, 23, 45 \item tiles \subitem tiling problem, 19, 58 \subitem aperiodic tile set, 18, 45 \item Garden-of-Eden -theorem, 12 \item Bernoulli measure, 15, 16, 35 \item cellular automata \subitem balance theorem, 9, 11, 14 \subitem blocking word, 22, 32 \item Garden-of-Eden -theorem, 32 I have to sort the above index alphabetically using a perl script. Duplicate item or subitem entries should be merged and their numbers should be sorted. The subitems also should be sorted under respective item and their numbers should be also sorted. If same item is repeated in more than one place with subitems all the subitems should be merged under a single item and also subitems should be sorted

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  • Why is this attempt at a binary search crashing?

    - by Ian Campbell
    I am fairly new to the concept of a binary search, and am trying to write a program that does this in Java for personal practice. I understand the concept of this well, but my code is not working. There is a run-time exception happening in my code that just caused Eclipse, and then my computer, to crash... there are no compile-time errors here though. Here is what I have so far: public class BinarySearch { // instance variables int[] arr; int iterations; // constructor public BinarySearch(int[] arr) { this.arr = arr; iterations = 0; } // instance method public int findTarget(int targ, int[] sorted) { int firstIndex = 1; int lastIndex = sorted.length; int middleIndex = (firstIndex + lastIndex) / 2; int result = sorted[middleIndex - 1]; while(result != targ) { if(result > targ) { firstIndex = middleIndex + 1; middleIndex = (firstIndex + lastIndex) / 2; result = sorted[middleIndex - 1]; iterations++; } else { lastIndex = middleIndex + 1; middleIndex = (firstIndex + lastIndex) / 2; result = sorted[middleIndex - 1]; iterations++; } } return result; } // main method public static void main(String[] args) { int[] sortedArr = new int[] { 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29 }; BinarySearch obj = new BinarySearch(sortedArr); int target = sortedArr[8]; int result = obj.findTarget(target, sortedArr); System.out.println("The original target was -- " + target + ".\n" + "The result found was -- " + result + ".\n" + "This took " + obj.iterations + " iterations to find."); } // end of main method } // end of class BinarySearch

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  • Jquery toggle functions

    - by ozsenegal
    I've a code to sort table using Jquery.I use toggle function to alternate clicks,and toggle beetween 'ascend' and 'descend' sort.Once you click header's table it should sort it contents. However,there's a bug: I click once,it sorts,then when i click again,nothing happens.I need to click again (second time) to execute the second function,and sort again. Toggle should switch functions with single clicks,not double,am i right? Here is the code: firstRow.toggle(function() { $(this).find("th:first").removeClass("ascendFirst").addClass("descendFirst"); $(this).find("th:not(first)").removeClass("ascend").addClass("descend"); sorted = $.makeArray($("td:eq(0)", "tr")).sort().reverse(); sorted2 = $.makeArray($("td:eq(1)", "tr")).sort().reverse(); sorted3 = $.makeArray($("td:eq(2)", "tr")).sort().reverse(); for (var i = 0; i < sorted.length; i++) { $("td", "tr:eq(" + (i + 1) + ")").remove(); $("tr:eq(" + (i + 1) + ")").append($("<td></td>").text($(sorted[i]).text())); $("tr:eq(" + (i + 1) + ")").append($("<td></td>").text($(sorted2[i]).text())); $("tr:eq(" + (i + 1) + ")").append($("<td></td>").text($(sorted3[i]).text())); } }, function() { $(this).find("th:first").removeClass("descendFirst").addClass("ascendFirst"); $(this).find("th:not(first)").removeClass("descend").addClass("ascend"); sorted = $.makeArray($("td:eq(0)", "tr")).sort(); sorted2 = $.makeArray($("td:eq(1)", "tr")).sort(); sorted3 = $.makeArray($("td:eq(2)", "tr")).sort(); for (var i = 0; i < sorted.length; i++) { $("td", "tr:eq(" + (i + 1) + ")").remove(); $("tr:eq(" + (i + 1) + ")").append($("<td></td>").text($(sorted[i]).text())); $("tr:eq(" + (i + 1) + ")").append($("<td></td>").text($(sorted2[i]).text())); $("tr:eq(" + (i + 1) + ")").append($("<td></td>").text($(sorted3[i]).text())); } });

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  • How to get values after dictionary sorting by values with linq

    - by user301639
    hey, I've a dictionary, which i sorted by value with linq, how can i get those sorted value from the sorted result i get that's what i did so far Dictionary<char, int> lettersAcurr = new Dictionary<char, int>();//sort by int value var sortedDict = (from entry in lettersAcurr orderby entry.Value descending select entry); during the debug i can see that sortedDic has a KeyValuePar, but i cant accesses to it thanks for help

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  • What is the complexity of this specialized sort

    - by ADB
    I would like to know the complexity (as in O(...) ) of the following sorting algorithm: there are B barrels that contains a total of N elements, spread unevenly across the barrels. the elements in each barrel are already sorted The sort takes combines all the elements from each barrel in a single sorted list: using an array of size B to store the last sorted element of each barrel (starting at 0) check each barrel (at the last stored index) and find the smallest element copy the element in the final sorted array, increment array counter increment the last sorted element for the barrel we picked from perform those steps N times or in pseudo: for i from 0 to N smallest = MAX_ELEMENT foreach b in B if bIndex[b] < b.length && b[bIndex[b]] < smallest smallest_barrel = b smallest = b[bIndex[b]] result[i] = smallest bIndex[smallest_barrel] += 1 I thought that the complexity would be O(n), but the problem I have with finding the complexity is that if B grows, it has a larger impact than if N grows because it adds another round in the B loop. But maybe that has no effect on the complexity?

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  • What Can A 'TreeDict' (Or Treemap) Be Used For In Practice?

    - by Seun Osewa
    I'm developing a 'TreeDict' class in Python. This is a basically a dict that allows you to retrieve its key-value pairs in sorted order, just like the Treemap collection class in Java. I've implemented some functionality based on the way unique indexes in relational databases can be used, e.g. functions to let you retrieve values corresponding to a range of keys, keys greater than, less than or equal to a particular value in sorted order, strings or tuples that have a specific prefix in sorted order, etc. Unfortunately, I can't think of any real life problem that will require a class like this. I suspect that the reason we don't have sorted dicts in Python is that in practice they aren't required often enough to be worth it, but I want to be proved wrong. Can you think of any specific applications of a 'TreeDict'? Any real life problem that would be best solved by this data structure? I just want to know for sure whether this is worth it.

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  • Non US characters in section headers for a UITableView

    - by epatel
    I have added a section list for a simple Core Data iPhone app. I followed this so question to create it - How to use the first character as a section name but my list also contain items starting with characters outside A-Z, specially Å,Ä and Ö used here in Sweden. The problem now is that when the table view shows the section list the three last characters are drawn wrong. See image below It seems like my best option right now is to let those items be sorted under 'Z' if ([letter isEqual:@"Å"] || [letter isEqual:@"Ä"] || [letter isEqual:@"Ö"]) letter = @"Z"; Someone that have figured this one out? And while I'm at it... 'Å', 'Ä' and 'Ö' should be sorted in that order but are sorted as 'Ä', 'Å' and 'Ö' by Core Data NSSortDescriptor. I have tried to set set the selector to localizedCaseInsensitiveCompare: but that gives a out of order section name 'Ä. Objects must be sorted by section name' error. Seen that too?

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  • Which index is used in select and why?

    - by Lukasz Lysik
    I have the table with zip codes with following columns: id - PRIMARY KEY code - NONCLUSTERED INDEX city When I execute query SELECT TOP 10 * FROM ZIPCodes I get the results sorted by id column. But when I change the query to: SELECT TOP 10 id FROM ZIPCodes I get the results sorted by code column. Again, when I change the query to: SELECT TOP 10 code FROM ZIPCodes I get the results sorted by code column again. And finally when I change to: SELECT TOP 10 id,code FROM ZIPCodes I get the results sorted by id column. My question is in the title of the question. I know which indexes are used in the queries, but my question is, why those indexes are used? I the second query (SELECT TOP 10 id FROM ZIPCodes) wouldn't it be faster if the clusteder index was used? How the query engine chooses which index to use?

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  • Conditional sorting in MySQL?

    - by serg555
    I have "tasks" table with 3 fields: date priority (0,1,2) done (0,1) What I am trying to achieve is with the whole table sorted by done flag, tasks that are not done should be sorted by priority, while tasks that are done should be sorted by date: Select * from tasks order by done asc If done=0 additionally order by priority desc If done=1 additionally order by date desc Is it possible to do this in MySQL without unions? Thanks.

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  • On StringComparison Values

    - by Jesse
    When you use the .NET Framework’s String.Equals and String.Compare methods do you use an overloStringComparison enumeration value? If not, you should be because the value provided for that StringComparison argument can have a big impact on the results of your string comparison. The StringComparison enumeration defines values that fall into three different major categories: Culture-sensitive comparison using a specific culture, defaulted to the Thread.CurrentThread.CurrentCulture value (StringComparison.CurrentCulture and StringComparison.CurrentCutlureIgnoreCase) Invariant culture comparison (StringComparison.InvariantCulture and StringComparison.InvariantCultureIgnoreCase) Ordinal (byte-by-byte) comparison of  (StringComparison.Ordinal and StringComparison.OrdinalIgnoreCase) There is a lot of great material available that detail the technical ins and outs of these different string comparison approaches. If you’re at all interested in the topic these two MSDN articles are worth a read: Best Practices For Using Strings in the .NET Framework: http://msdn.microsoft.com/en-us/library/dd465121.aspx How To Compare Strings: http://msdn.microsoft.com/en-us/library/cc165449.aspx Those articles cover the technical details of string comparison well enough that I’m not going to reiterate them here other than to say that the upshot is that you typically want to use the culture-sensitive comparison whenever you’re comparing strings that were entered by or will be displayed to users and the ordinal comparison in nearly all other cases. So where does that leave the invariant culture comparisons? The “Best Practices For Using Strings in the .NET Framework” article has the following to say: “On balance, the invariant culture has very few properties that make it useful for comparison. It does comparison in a linguistically relevant manner, which prevents it from guaranteeing full symbolic equivalence, but it is not the choice for display in any culture. One of the few reasons to use StringComparison.InvariantCulture for comparison is to persist ordered data for a cross-culturally identical display. For example, if a large data file that contains a list of sorted identifiers for display accompanies an application, adding to this list would require an insertion with invariant-style sorting.” I don’t know about you, but I feel like that paragraph is a bit lacking. Are there really any “real world” reasons to use the invariant culture comparison? I think the answer to this question is, “yes”, but in order to understand why we should first think about what the invariant culture comparison really does. The invariant culture comparison is really just a culture-sensitive comparison using a special invariant culture (Michael Kaplan has a great post on the history of the invariant culture on his blog: http://blogs.msdn.com/b/michkap/archive/2004/12/29/344136.aspx). This means that the invariant culture comparison will apply the linguistic customs defined by the invariant culture which are guaranteed not to differ between different machines or execution contexts. This sort of consistently does prove useful if you needed to maintain a list of strings that are sorted in a meaningful and consistent way regardless of the user viewing them or the machine on which they are being viewed. Example: Prototype Names Let’s say that you work for a large multi-national toy company with branch offices in 10 different countries. Each year the company would work on 15-25 new toy prototypes each of which is assigned a “code name” while it is under development. Coming up with fun new code names is a big part of the company culture that everyone really enjoys, so to be fair the CEO of the company spent a lot of time coming up with a prototype naming scheme that would be fun for everyone to participate in, fair to all of the different branch locations, and accessible to all members of the organization regardless of the country they were from and the language that they spoke. Each new prototype will get a code name that begins with a letter following the previously created name using the alphabetical order of the Latin/Roman alphabet. Each new year prototype names would start back at “A”. The country that leads the prototype development effort gets to choose the name in their native language. (An appropriate Romanization system will be used for countries where the primary language is not written in the Latin/Roman alphabet. For example, the Pinyin system could be used for Chinese). To avoid repeating names, a list of all current and past prototype names will be maintained on each branch location’s company intranet site. Assuming that maintaining a single pre-sorted list is not feasible among all of the highly distributed intranet implementations, what string comparison method would you use to sort each year’s list of prototype names so that the list is both meaningful and consistent regardless of the country within which the list is being viewed? Sorting the list with a culture-sensitive comparison using the default configured culture on each country’s intranet server the list would probably work most of the time, but subtle differences between cultures could mean that two different people would see a list that was sorted slightly differently. The CEO wants the prototype names to be a unifying aspect of company culture and is adamant that everyone see the the same list sorted in the same order and there’s no way to guarantee a consistent sort across different cultures using the culture-sensitive string comparison rules. The culture-sensitive sort would produce a meaningful list for the specific user viewing it, but it wouldn’t always be consistent between different users. Sorting with the ordinal comparison would certainly be consistent regardless of the user viewing it, but would it be meaningful? Let’s say that the current year’s prototype name list looks like this: Antílope (Spanish) Babouin (French) Cahoun (Czech) Diamond (English) Flosse (German) If you were to sort this list using ordinal rules you’d end up with: Antílope Babouin Diamond Flosse Cahoun This sort is no good because the entry for “C” appears the bottom of the list after “F”. This is because the Czech entry for the letter “C” makes use of a diacritic (accent mark). The ordinal string comparison does a byte-by-byte comparison of the code points that make up each character in the string and the code point for the “C” with the diacritic mark is higher than any letter without a diacritic mark, which pushes that entry to the bottom of the sorted list. The CEO wants each country to be able to create prototype names in their native language, which means we need to allow for names that might begin with letters that have diacritics, so ordinal sorting kills the meaningfulness of the list. As it turns out, this situation is actually well-suited for the invariant culture comparison. The invariant culture accounts for linguistically relevant factors like the use of diacritics but will provide a consistent sort across all machines that perform the sort. Now that we’ve walked through this example, the following line from the “Best Practices For Using Strings in the .NET Framework” makes a lot more sense: One of the few reasons to use StringComparison.InvariantCulture for comparison is to persist ordered data for a cross-culturally identical display That line describes the prototype name example perfectly: we need a way to persist ordered data for a cross-culturally identical display. While this example is 100% made-up, I think it illustrates that there are indeed real-world situations where the invariant culture comparison is useful.

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  • The blocking nature of aggregates

    - by Rob Farley
    I wrote a post recently about how query tuning isn’t just about how quickly the query runs – that if you have something (such as SSIS) that is consuming your data (and probably introducing a bottleneck), then it might be more important to have a query which focuses on getting the first bit of data out. You can read that post here.  In particular, we looked at two operators that could be used to ensure that a query returns only Distinct rows. and The Sort operator pulls in all the data, sorts it (discarding duplicates), and then pushes out the remaining rows. The Hash Match operator performs a Hashing function on each row as it comes in, and then looks to see if it’s created a Hash it’s seen before. If not, it pushes the row out. The Sort method is quicker, but has to wait until it’s gathered all the data before it can do the sort, and therefore blocks the data flow. But that was my last post. This one’s a bit different. This post is going to look at how Aggregate functions work, which ties nicely into this month’s T-SQL Tuesday. I’ve frequently explained about the fact that DISTINCT and GROUP BY are essentially the same function, although DISTINCT is the poorer cousin because you have less control over it, and you can’t apply aggregate functions. Just like the operators used for Distinct, there are different flavours of Aggregate operators – coming in blocking and non-blocking varieties. The example I like to use to explain this is a pile of playing cards. If I’m handed a pile of cards and asked to count how many cards there are in each suit, it’s going to help if the cards are already ordered. Suppose I’m playing a game of Bridge, I can easily glance at my hand and count how many there are in each suit, because I keep the pile of cards in order. Moving from left to right, I could tell you I have four Hearts in my hand, even before I’ve got to the end. By telling you that I have four Hearts as soon as I know, I demonstrate the principle of a non-blocking operation. This is known as a Stream Aggregate operation. It requires input which is sorted by whichever columns the grouping is on, and it will release a row as soon as the group changes – when I encounter a Spade, I know I don’t have any more Hearts in my hand. Alternatively, if the pile of cards are not sorted, I won’t know how many Hearts I have until I’ve looked through all the cards. In fact, to count them, I basically need to put them into little piles, and when I’ve finished making all those piles, I can count how many there are in each. Because I don’t know any of the final numbers until I’ve seen all the cards, this is blocking. This performs the aggregate function using a Hash Match. Observant readers will remember this from my Distinct example. You might remember that my earlier Hash Match operation – used for Distinct Flow – wasn’t blocking. But this one is. They’re essentially doing a similar operation, applying a Hash function to some data and seeing if the set of values have been seen before, but before, it needs more information than the mere existence of a new set of values, it needs to consider how many of them there are. A lot is dependent here on whether the data coming out of the source is sorted or not, and this is largely determined by the indexes that are being used. If you look in the Properties of an Index Scan, you’ll be able to see whether the order of the data is required by the plan. A property called Ordered will demonstrate this. In this particular example, the second plan is significantly faster, but is dependent on having ordered data. In fact, if I force a Stream Aggregate on unordered data (which I’m doing by telling it to use a different index), a Sort operation is needed, which makes my plan a lot slower. This is all very straight-forward stuff, and information that most people are fully aware of. I’m sure you’ve all read my good friend Paul White (@sql_kiwi)’s post on how the Query Optimizer chooses which type of aggregate function to apply. But let’s take a look at SQL Server Integration Services. SSIS gives us a Aggregate transformation for use in Data Flow Tasks, but it’s described as Blocking. The definitive article on Performance Tuning SSIS uses Sort and Aggregate as examples of Blocking Transformations. I’ve just shown you that Aggregate operations used by the Query Optimizer are not always blocking, but that the SSIS Aggregate component is an example of a blocking transformation. But is it always the case? After all, there are plenty of SSIS Performance Tuning talks out there that describe the value of sorted data in Data Flow Tasks, describing the IsSorted property that can be set through the Advanced Editor of your Source component. And so I set about testing the Aggregate transformation in SSIS, to prove for sure whether providing Sorted data would let the Aggregate transform behave like a Stream Aggregate. (Of course, I knew the answer already, but it helps to be able to demonstrate these things). A query that will produce a million rows in order was in order. Let me rephrase. I used a query which produced the numbers from 1 to 1000000, in a single field, ordered. The IsSorted flag was set on the source output, with the only column as SortKey 1. Performing an Aggregate function over this (counting the number of rows per distinct number) should produce an additional column with 1 in it. If this were being done in T-SQL, the ordered data would allow a Stream Aggregate to be used. In fact, if the Query Optimizer saw that the field had a Unique Index on it, it would be able to skip the Aggregate function completely, and just insert the value 1. This is a shortcut I wouldn’t be expecting from SSIS, but certainly the Stream behaviour would be nice. Unfortunately, it’s not the case. As you can see from the screenshots above, the data is pouring into the Aggregate function, and not being released until all million rows have been seen. It’s not doing a Stream Aggregate at all. This is expected behaviour. (I put that in bold, because I want you to realise this.) An SSIS transformation is a piece of code that runs. It’s a physical operation. When you write T-SQL and ask for an aggregation to be done, it’s a logical operation. The physical operation is either a Stream Aggregate or a Hash Match. In SSIS, you’re telling the system that you want a generic Aggregation, that will have to work with whatever data is passed in. I’m not saying that it wouldn’t be possible to make a sometimes-blocking aggregation component in SSIS. A Custom Component could be created which could detect whether the SortKeys columns of the input matched the Grouping columns of the Aggregation, and either call the blocking code or the non-blocking code as appropriate. One day I’ll make one of those, and publish it on my blog. I’ve done it before with a Script Component, but as Script components are single-use, I was able to handle the data knowing everything about my data flow already. As per my previous post – there are a lot of aspects in which tuning SSIS and tuning execution plans use similar concepts. In both situations, it really helps to have a feel for what’s going on behind the scenes. Considering whether an operation is blocking or not is extremely relevant to performance, and that it’s not always obvious from the surface. In a future post, I’ll show the impact of blocking v non-blocking and synchronous v asynchronous components in SSIS, using some of LobsterPot’s Script Components and Custom Components as examples. When I get that sorted, I’ll make a Stream Aggregate component available for download.

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  • The blocking nature of aggregates

    - by Rob Farley
    I wrote a post recently about how query tuning isn’t just about how quickly the query runs – that if you have something (such as SSIS) that is consuming your data (and probably introducing a bottleneck), then it might be more important to have a query which focuses on getting the first bit of data out. You can read that post here.  In particular, we looked at two operators that could be used to ensure that a query returns only Distinct rows. and The Sort operator pulls in all the data, sorts it (discarding duplicates), and then pushes out the remaining rows. The Hash Match operator performs a Hashing function on each row as it comes in, and then looks to see if it’s created a Hash it’s seen before. If not, it pushes the row out. The Sort method is quicker, but has to wait until it’s gathered all the data before it can do the sort, and therefore blocks the data flow. But that was my last post. This one’s a bit different. This post is going to look at how Aggregate functions work, which ties nicely into this month’s T-SQL Tuesday. I’ve frequently explained about the fact that DISTINCT and GROUP BY are essentially the same function, although DISTINCT is the poorer cousin because you have less control over it, and you can’t apply aggregate functions. Just like the operators used for Distinct, there are different flavours of Aggregate operators – coming in blocking and non-blocking varieties. The example I like to use to explain this is a pile of playing cards. If I’m handed a pile of cards and asked to count how many cards there are in each suit, it’s going to help if the cards are already ordered. Suppose I’m playing a game of Bridge, I can easily glance at my hand and count how many there are in each suit, because I keep the pile of cards in order. Moving from left to right, I could tell you I have four Hearts in my hand, even before I’ve got to the end. By telling you that I have four Hearts as soon as I know, I demonstrate the principle of a non-blocking operation. This is known as a Stream Aggregate operation. It requires input which is sorted by whichever columns the grouping is on, and it will release a row as soon as the group changes – when I encounter a Spade, I know I don’t have any more Hearts in my hand. Alternatively, if the pile of cards are not sorted, I won’t know how many Hearts I have until I’ve looked through all the cards. In fact, to count them, I basically need to put them into little piles, and when I’ve finished making all those piles, I can count how many there are in each. Because I don’t know any of the final numbers until I’ve seen all the cards, this is blocking. This performs the aggregate function using a Hash Match. Observant readers will remember this from my Distinct example. You might remember that my earlier Hash Match operation – used for Distinct Flow – wasn’t blocking. But this one is. They’re essentially doing a similar operation, applying a Hash function to some data and seeing if the set of values have been seen before, but before, it needs more information than the mere existence of a new set of values, it needs to consider how many of them there are. A lot is dependent here on whether the data coming out of the source is sorted or not, and this is largely determined by the indexes that are being used. If you look in the Properties of an Index Scan, you’ll be able to see whether the order of the data is required by the plan. A property called Ordered will demonstrate this. In this particular example, the second plan is significantly faster, but is dependent on having ordered data. In fact, if I force a Stream Aggregate on unordered data (which I’m doing by telling it to use a different index), a Sort operation is needed, which makes my plan a lot slower. This is all very straight-forward stuff, and information that most people are fully aware of. I’m sure you’ve all read my good friend Paul White (@sql_kiwi)’s post on how the Query Optimizer chooses which type of aggregate function to apply. But let’s take a look at SQL Server Integration Services. SSIS gives us a Aggregate transformation for use in Data Flow Tasks, but it’s described as Blocking. The definitive article on Performance Tuning SSIS uses Sort and Aggregate as examples of Blocking Transformations. I’ve just shown you that Aggregate operations used by the Query Optimizer are not always blocking, but that the SSIS Aggregate component is an example of a blocking transformation. But is it always the case? After all, there are plenty of SSIS Performance Tuning talks out there that describe the value of sorted data in Data Flow Tasks, describing the IsSorted property that can be set through the Advanced Editor of your Source component. And so I set about testing the Aggregate transformation in SSIS, to prove for sure whether providing Sorted data would let the Aggregate transform behave like a Stream Aggregate. (Of course, I knew the answer already, but it helps to be able to demonstrate these things). A query that will produce a million rows in order was in order. Let me rephrase. I used a query which produced the numbers from 1 to 1000000, in a single field, ordered. The IsSorted flag was set on the source output, with the only column as SortKey 1. Performing an Aggregate function over this (counting the number of rows per distinct number) should produce an additional column with 1 in it. If this were being done in T-SQL, the ordered data would allow a Stream Aggregate to be used. In fact, if the Query Optimizer saw that the field had a Unique Index on it, it would be able to skip the Aggregate function completely, and just insert the value 1. This is a shortcut I wouldn’t be expecting from SSIS, but certainly the Stream behaviour would be nice. Unfortunately, it’s not the case. As you can see from the screenshots above, the data is pouring into the Aggregate function, and not being released until all million rows have been seen. It’s not doing a Stream Aggregate at all. This is expected behaviour. (I put that in bold, because I want you to realise this.) An SSIS transformation is a piece of code that runs. It’s a physical operation. When you write T-SQL and ask for an aggregation to be done, it’s a logical operation. The physical operation is either a Stream Aggregate or a Hash Match. In SSIS, you’re telling the system that you want a generic Aggregation, that will have to work with whatever data is passed in. I’m not saying that it wouldn’t be possible to make a sometimes-blocking aggregation component in SSIS. A Custom Component could be created which could detect whether the SortKeys columns of the input matched the Grouping columns of the Aggregation, and either call the blocking code or the non-blocking code as appropriate. One day I’ll make one of those, and publish it on my blog. I’ve done it before with a Script Component, but as Script components are single-use, I was able to handle the data knowing everything about my data flow already. As per my previous post – there are a lot of aspects in which tuning SSIS and tuning execution plans use similar concepts. In both situations, it really helps to have a feel for what’s going on behind the scenes. Considering whether an operation is blocking or not is extremely relevant to performance, and that it’s not always obvious from the surface. In a future post, I’ll show the impact of blocking v non-blocking and synchronous v asynchronous components in SSIS, using some of LobsterPot’s Script Components and Custom Components as examples. When I get that sorted, I’ll make a Stream Aggregate component available for download.

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  • Visual Studio C++ list iterator not decementable

    - by user69514
    I keep getting an error on visual studio that says list iterator not decrementable: line 256 My program works fine on Linux, but visual studio compiler throws this error. Dammit this is why I hate windows. Why can't the world run on Linux? Anyway, do you see what my problem is? #include <iostream> #include <fstream> #include <sstream> #include <list> using namespace std; int main(){ /** create the list **/ list<int> l; /** create input stream to read file **/ ifstream inputstream("numbers.txt"); /** read the numbers and add them to list **/ if( inputstream.is_open() ){ string line; istringstream instream; while( getline(inputstream, line) ){ instream.clear(); instream.str(line); /** get he five int's **/ int one, two, three, four, five; instream >> one >> two >> three >> four >> five; /** add them to the list **/ l.push_back(one); l.push_back(two); l.push_back(three); l.push_back(four); l.push_back(five); }//end while loop }//end if /** close the stream **/ inputstream.close(); /** display the list **/ cout << "List Read:" << endl; list<int>::iterator i; for( i=l.begin(); i != l.end(); ++i){ cout << *i << " "; } cout << endl << endl; /** now sort the list **/ l.sort(); /** display the list **/ cout << "Sorted List (head to tail):" << endl; for( i=l.begin(); i != l.end(); ++i){ cout << *i << " "; } cout << endl; list<int> lReversed; for(i=l.begin(); i != l.end(); ++i){ lReversed.push_front(*i); } cout << "Sorted List (tail to head):" << endl; for(i=lReversed.begin(); i!=lReversed.end(); ++i){ cout << *i << " "; } cout << endl << endl; /** remove first biggest element and display **/ l.pop_back(); cout << "List after removing first biggest element:" << endl; cout << "Sorted List (head to tail):" << endl; for( i=l.begin(); i != l.end(); ++i){ cout << *i << " "; } cout << endl; cout << "Sorted List (tail to head):" << endl; lReversed.pop_front(); for(i=lReversed.begin(); i!=lReversed.end(); ++i){ cout << *i << " "; } cout << endl << endl; /** remove second biggest element and display **/ l.pop_back(); cout << "List after removing second biggest element:" << endl; cout << "Sorted List (head to tail):" << endl; for( i=l.begin(); i != l.end(); ++i){ cout << *i << " "; } cout << endl; lReversed.pop_front(); cout << "Sorted List (tail to head):" << endl; for(i=lReversed.begin(); i!=lReversed.end(); ++i){ cout << *i << " "; } cout << endl << endl; /** remove third biggest element and display **/ l.pop_back(); cout << "List after removing third biggest element:" << endl; cout << "Sorted List (head to tail):" << endl; for( i=l.begin(); i != l.end(); ++i){ cout << *i << " "; } cout << endl; cout << "Sorted List (tail to head):" << endl; lReversed.pop_front(); for(i=lReversed.begin(); i!=lReversed.end(); ++i){ cout << *i << " "; } cout << endl << endl; /** create frequency table **/ const int biggest = 1000; //create array size of biggest element int arr[biggest]; //set everything to zero for(int j=0; j<biggest+1; j++){ arr[j] = 0; } //now update number of occurences for( i=l.begin(); i != l.end(); i++){ arr[*i]++; } //now print the frequency table. only print where occurences greater than zero cout << "Final list frequency table: " << endl; for(int j=0; j<biggest+1; j++){ if( arr[j] > 0 ){ cout << j << ": " << arr[j] << " occurences" << endl; } } return 0; }//end main

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  • Memory Leaks - Objective-C

    - by reising1
    Can anyone help point out memory leaks? I'm getting a bunch within this method and I'm not sure exactly how to fix it. - (NSMutableArray *)getTop5AndOtherKeysAndValuesFromDictionary:(NSMutableDictionary *)dict { NSLog(@"get top 5"); int sumOfAllValues = 0; NSMutableArray *arr = [[[NSMutableArray alloc] init] retain]; for(NSString *key in dict){ NSString *value = [[dict objectForKey:key] retain]; [arr addObject:value]; sumOfAllValues += [value intValue]; } //sort values NSArray *sorted = [[arr sortedArrayUsingFunction:sort context:NULL] retain]; [arr release]; //top 5 values int sumOfTop5 = 0; NSMutableArray *top5 = [[[NSMutableArray alloc] init] retain]; for(int i = 0; i < 5; i++) { int proposedIndex = [sorted count] - 1 - i; if(proposedIndex >= 0) { [top5 addObject:[sorted objectAtIndex:([sorted count] - i - 1)]]; sumOfTop5 += [[sorted objectAtIndex:([sorted count] - i - 1)] intValue]; } } [sorted release]; //copy of all keys NSMutableArray *copyOfKeys = [[[NSMutableArray alloc] init] retain]; for(NSString *key in dict) { [copyOfKeys addObject:key]; } //copy of top 5 values NSMutableArray *copyOfTop5 = [[[NSMutableArray alloc] init] retain]; for(int i = 0; i < [top5 count]; i++) { [copyOfTop5 addObject:[top5 objectAtIndex:i]]; } //get keys with top 5 values NSMutableArray *outputKeys = [[[NSMutableArray alloc] init] retain]; for(int i = 0; i < [top5 count]; i++) { NSString *targetValue = [top5 objectAtIndex:i]; for(int j = 0; j < [copyOfKeys count]; j++) { NSString *key = [copyOfKeys objectAtIndex:j]; NSString *val = [dict objectForKey:key]; if([val isEqualToString:targetValue]) { [outputKeys addObject:key]; [copyOfKeys removeObjectAtIndex:j]; break; } } } [outputKeys addObject:@"Other"]; [top5 addObject:[[NSString stringWithFormat:@"%d",(sumOfAllValues - sumOfTop5)] retain]]; NSMutableArray *output = [[NSMutableArray alloc] init]; [output addObject:outputKeys]; [output addObject:top5]; NSMutableArray *percents = [[NSMutableArray alloc] init]; int sum = sumOfAllValues; float leftOverSum = sum * 1.0f; int count = [top5 count]; float val1, val2, val3, val4, val5; if(count >= 1) val1 = ([[top5 objectAtIndex:0] intValue] * 1.0f)/sum; else val1 = 0.0f; if(count >=2) val2 = ([[top5 objectAtIndex:1] intValue] * 1.0f)/sum; else val2 = 0.0f; if(count >= 3) val3 = ([[top5 objectAtIndex:2] intValue] * 1.0f)/sum; else val3 = 0.0f; if(count >= 4) val4 = ([[top5 objectAtIndex:3] intValue] * 1.0f)/sum; else val4 = 0.0f; if(count >=5) val5 = ([[top5 objectAtIndex:4] intValue] * 1.0f)/sum; else val5 = 0.0f; if(val1 >= .00001f) { NSMutableArray *a1 = [[NSMutableArray alloc] init]; [a1 addObject:[outputKeys objectAtIndex:0]]; [a1 addObject:[top5 objectAtIndex:0]]; [a1 addObject:[NSString stringWithFormat:@"%.01f",(val1*100)]]; [percents addObject:a1]; leftOverSum -= ([[top5 objectAtIndex:0] intValue] * 1.0f); } if(val2 >= .00001f) { NSMutableArray *a2 = [[NSMutableArray alloc] init]; [a2 addObject:[outputKeys objectAtIndex:1]]; [a2 addObject:[top5 objectAtIndex:1]]; [a2 addObject:[NSString stringWithFormat:@"%.01f",(val2*100)]]; [percents addObject:a2]; leftOverSum -= ([[top5 objectAtIndex:1] intValue] * 1.0f); } if(val3 >= .00001f) { NSMutableArray *a3 = [[NSMutableArray alloc] init]; [a3 addObject:[outputKeys objectAtIndex:2]]; [a3 addObject:[top5 objectAtIndex:2]]; [a3 addObject:[NSString stringWithFormat:@"%.01f",(val3*100)]]; [percents addObject:a3]; leftOverSum -= ([[top5 objectAtIndex:2] intValue] * 1.0f); } if(val4 >= .00001f) { NSMutableArray *a4 = [[NSMutableArray alloc] init]; [a4 addObject:[outputKeys objectAtIndex:3]]; [a4 addObject:[top5 objectAtIndex:3]]; [a4 addObject:[NSString stringWithFormat:@"%.01f",(val4*100)]]; [percents addObject:a4]; leftOverSum -= ([[top5 objectAtIndex:3] intValue] * 1.0f); } if(val5 >= .00001f) { NSMutableArray *a5 = [[NSMutableArray alloc] init]; [a5 addObject:[outputKeys objectAtIndex:4]]; [a5 addObject:[top5 objectAtIndex:4]]; [a5 addObject:[NSString stringWithFormat:@"%.01f",(val5*100)]]; [percents addObject:a5]; leftOverSum -= ([[top5 objectAtIndex:4] intValue] * 1.0f); } float valOther = (leftOverSum/sum); if(valOther >= .00001f) { NSMutableArray *a6 = [[NSMutableArray alloc] init]; [a6 addObject:[outputKeys objectAtIndex:5]]; [a6 addObject:[top5 objectAtIndex:5]]; [a6 addObject:[NSString stringWithFormat:@"%.01f",(valOther*100)]]; [percents addObject:a6]; } [output addObject:percents]; NSLog(@"mu - a"); //[arr release]; NSLog(@"mu - b"); //[copyOfKeys release]; NSLog(@"mu - c"); //[copyOfTop5 release]; NSLog(@"mu - c"); //[outputKeys release]; //[top5 release]; //[percents release]; return output; }

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  • SortList duplicated key, but it shouldn't

    - by Luca
    I have a class which implements IList interface. I requires a "sorted view" of this list, but without modifying it (I cannot sort directly the IList class). These view shall be updated when the original list is modified, keeping items sorted. So, I've introduced a SortList creation method which create a SortList which has a comparer for the specific object contained in the original list. Here is the snippet of code: public class MyList<T> : ICollection, IList<T> { ... public SortedList CreateSortView(string property) { try { Lock(); SortListView sortView; if (mSortListViews.ContainsKey(property) == false) { // Create sorted view sortView = new SortListView(property, Count); mSortListViews.Add(property, sortView); foreach (T item in Items) sortView.Add(item); } else sortView = mSortListViews[property]; sortView.ReferenceCount++; return (sortView); } finally { Unlock(); } } public void DeleteSortView(string property) { try { Lock(); // Unreference sorted view mSortListViews[property].ReferenceCount--; // Remove sorted view if (mSortListViews[property].ReferenceCount == 0) mSortListViews.Remove(property); } finally { Unlock(); } } protected class SortListView : SortedList { /// <summary> /// /// </summary> /// <param name="property"></param> /// <param name="capacity"></param> public SortListView(string property, int capacity) : base(new GenericPropertyComparer(typeof(T).GetProperty(property, BindingFlags.Instance | BindingFlags.Public)), capacity) { } /// <summary> /// Reference count. /// </summary> public int ReferenceCount = 0; /// <summary> /// /// </summary> /// <param name="item"></param> public void Add(T item) { Add(item, item); } /// <summary> /// /// </summary> /// <param name="item"></param> public void Remove(T item) { // Base implementation base.Remove(item); } /// <summary> /// Compare object on a generic property. /// </summary> class GenericPropertyComparer : IComparer { #region Constructors /// <summary> /// Construct a GenericPropertyComparer specifying the property to compare. /// </summary> /// <param name="property"> /// A <see cref="PropertyInfo"/> which specify the property to be compared. /// </param> /// <remarks> /// The <paramref name="property"/> parameter imply that the compared objects have the specified property. The property /// must be readable, and its type must implement the IComparable interface. /// </remarks> public GenericPropertyComparer(PropertyInfo property) { if (property == null) throw new ArgumentException("property doesn't specify a valid property"); if (property.CanRead == false) throw new ArgumentException("property specify a write-only property"); if (property.PropertyType.GetInterface("IComparable") == null) throw new ArgumentException("property type doesn't IComparable"); mSortingProperty = property; } #endregion #region IComparer Implementation public int Compare(object x, object y) { IComparable propX = (IComparable)mSortingProperty.GetValue(x, null); IComparable propY = (IComparable)mSortingProperty.GetValue(y, null); return (propX.CompareTo(propY)); } /// <summary> /// Sorting property. /// </summary> private PropertyInfo mSortingProperty = null; #endregion } } /// <summary> /// Sorted views of this ReactList. /// </summary> private Dictionary<string, SortListView> mSortListViews = new Dictionary<string, SortListView>(); } Practically, class users request to create a SortListView specifying the name of property which determine the sorting, and using the reflection each SortListView defined a IComparer which keep sorted the items. Whenever an item is added or removed from the original list, every created SortListView will be updated with the same operation. This seems good at first chance, but it creates me problems since it give me the following exception when adding items to the SortList: System.ArgumentException: Item has already been added. Key in dictionary: 'PowerShell_ISE [C:\Windows\sysWOW64\WindowsPowerShell\v1.0\PowerShell_ISE.exe]' Key being added: 'PowerShell_ISE [C:\Windows\system32\WindowsPowerShell\v1.0\PowerShell_ISE.exe]' As you can see from the exception message, thrown by SortedListView.Add(object), the string representation of the key (the list item object) is different (note the path of the executable). Why SortList give me that exception? To solve this I tried to implement a GetHashCode implementation for the underlying object, but without success: public override int GetHashCode() { return ( base.GetHashCode() ^ mApplicationName.GetHashCode() ^ mApplicationPath.GetHashCode() ^ mCommandLine.GetHashCode() ^ mWorkingDirectory.GetHashCode() ); }

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  • Merging and sorting multiple files with "sort"

    - by NewbiZ
    Hello, I have a bunch of text logfiles in the following format: ID (17 characters) Timestamp (14 characters YYYYmmddHHMMSS e.g. "20060210100040" -> 2006/02/10 10:00:40) Random data (? characters) end of line The files are already sorted by timestamp. I need to get 1 log file with all the logs from multiple logs files, sorted by timestamp. Note that the log files are really huge, around 3-4G each (and there are dozens of them) I tried the following command: sort -s -m -t '|' -k1n,1n +17 -o data_sort.txt *.TXT Here is how I ended up with this command: -s : don't bother with tie results -m : merge all logs files -t '|' : there is no | in my logs, so the whole line should be field 1 -k1n,1n: sort on the first field as a numeric value +17 : the timestamp starts at index 17 -o : output file Actually... it fails miserably. The output file data_sort.txt is just the concatenation of all files, not sorted at all :( I would greatly appreciate if anyone could provide any help on this problem! Thanks

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