emily price - Page 23 - Developer IT

a package for kruskal-wallis that shows pairwise comparison details

- by dalloliogm

The standard stats::kruskal.test module allows to calculate the kruskal-wallis test on a dataset: >>> data(diamonds) >>> kruskal.test.test(price~carat, data=diamonds) Kruskal-Wallis rank sum test data: price by carat by color Kruskal-Wallis chi-squared = 50570.15, df = 272, p-value < 2.2e-16 this is fine, it is giving me the probability that all the groups in the data have the same mean. However, I would like to have the details per each pair comparison, like if diamonds of colors D and E have the same mean price, as some other softwares (SPSS) do when you ask for a Kruskal test. I have found kruskalmc from the package pgirmess which allows me to do what I want to do: > kruskalmc(diamonds$price, diamonds$color) Multiple comparison test after Kruskal-Wallis p.value: 0.05 Comparisons obs.dif critical.dif difference D-E 571.7459 747.4962 FALSE D-F 2237.4309 751.5684 TRUE D-G 2643.1778 726.9854 TRUE D-H 4539.4392 774.4809 TRUE D-I 6002.6286 862.0150 TRUE D-J 8077.2871 1061.7451 TRUE E-F 2809.1767 680.4144 TRUE E-G 3214.9237 653.1587 TRUE E-H 5111.1851 705.6410 TRUE E-I 6574.3744 800.7362 TRUE E-J 8649.0330 1012.6260 TRUE F-G 405.7470 657.8152 FALSE F-H 2302.0083 709.9533 TRUE F-I 3765.1977 804.5390 TRUE F-J 5839.8562 1015.6357 TRUE G-H 1896.2614 683.8760 TRUE G-I 3359.4507 781.6237 TRUE G-J 5434.1093 997.5813 TRUE H-I 1463.1894 825.9834 TRUE H-J 3537.8479 1032.7058 TRUE I-J 2074.6585 1099.8776 TRUE However, this package only allows for one categoric variable (e.g. I can't study the prices clustered by color and by carat, as I can do with kruskal.test), and I don't know anything about the pgirmess package, whether it is maintained or not, or if it is tested.

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SQL Joins Excluding Data

- by Andrew

Say I have three tables: Fruit (Table 1) ------ Apple Orange Pear Banana Produce Store A (Table 2 - 2 columns: Fruit for sale => Price) ------------------------- Apple => 1.00 Orange => 1.50 Pear => 2.00 Produce Store B (Table 3 - 2 columns: Fruit for sale => Price) ------------------------ Apple => 1.10 Pear => 2.50 Banana => 1.00 If I would like to write a query with Column 1: the set of fruit offered at Produce Store A UNION Produce Store B, Column 2: Price of the fruit at Produce Store A (or null if that fruit is not offered), Column 3: Price of the fruit at Produce Store B (or null if that fruit is not offered), how would I go about joining the tables? I am facing a similar problem (with more complex tables), and no matter what I try, if the "fruit" is not at "produce store a" but is at "produce store b", it is excluded (since I am joining produce store a first). I have even written a subquery to generate a full list of fruits, then left join Produce Store A, but it is still eliminating the fruits not offered at A. Any Ideas?

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Centering a div block without the width

- by Vinicius

Hi, I have a problem when I try to center the div block "products" because I don't know in advance the div width. Anybody have a solution? Update: The problem I have is I don't know how many products I'll display, I can have 1, 2 or 3 products, I can center them if it was a fixed number as I'd know the width of the parent div, I just don't know how to do it when the content is dynamic. <style> .product_container { text-align: center; height: 150px; } .products { height: 140px; text-align: center; margin: 0 auto; clear: ccc both; } .price { margin: 6px 2px; width: 137px; color: #666; font-size: 14pt; font-style: normal; border: 1px solid #CCC; background-color: #EFEFEF; } </style> <div class="product_container"> <div class="products" id="products"> <div id="product_15"> <img src="/images/ecommerce/card_default.png"> <div class="price">R$ 0,01</div> </div> <div id="product_15"> <img src="/images/ecommerce/card_default.png"> <div class="price">R$ 0,01</div> </div> <div id="product_15"> <img src="/images/ecommerce/card_default.png"> <div class="price">R$ 0,01</div> </div> </div> </div>

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magento, making a grouped product show on sale based on product children prices

- by thrice801

Hi, Question regarding Magento and sale items. So I have to use grouped items to link multiple items which are the same style but different colors, these are the items I have showing on my search results/category pages. - I am trying to figure out how I can make the master sku, show as on sale, when the children items are marked on sale. I am able to make it show up on the product page, but anytime I have tried calling any of the getchildren methods outside of grouped.phtml, I have failed, horribly. I think I worked on that method for probably 36 hours unsuccessfully calling it from any other page. So, I thought I would ask here. Does anyone know how I could call the getchildskus or whatever it is method, from the category page, so that I can do something like, for each child product, compare sale price with active price, if there is a difference, calculate the percentage off, and display the largest difference as "ON SALE, UP TO 30% OFF!", or whatever it may be? Any help would be much appreciated. (oh, and I cant set a price on the main group sku, I sell sunglasses and watches mainly and many times a different color will differ in price quite significantly.)

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Cannot get new product attribute in grid display

- by russjman

I added a new attribute to my products(a boolean "yes/no" field). It is a variable to enable/disable the price from displaying on the product detail page, and grid view. I managed to get it work on the product info page. But on product grid page I cant seem to access that variable. Specifically, the template i am working with is catalog/product/price.phtml. From what i can tell, the price is being displayed by the same group of if-statements on both the product detail page, and grid page. This has me confused because i cant find any code on that template to handle multiple products, just a bunch of nested if statements. this is how im attempting to access this new variable using $_displayPrice. on line 36 of catalog/product/price.html <?php $_product = $this->getProduct(); ?> <?php $_id = $_product->getId() ?> <?php $_displayPrice = $_product->getDisplayPrice() ? "Yes" : "No"; echo $_displayPrice;?> What has me further confused is that when display $_product-getData(), my new variable isn't anywhere among that data. thanks in advance

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Dynamically add columns to a listbox

- by mgroves

I'm brand new to Windows Phone 7 development, and almost as equally new to Silverlight. I have a ListBox with a DataTemplate, StackPanel, and TextBlocks like so: <ListBox Height="355" HorizontalAlignment="Left" Margin="6,291,0,0" Name="detailsList" VerticalAlignment="Top" Width="474" Background="#36FFFFFF"> <ListBox.ItemTemplate> <DataTemplate> <StackPanel Orientation="Horizontal"> <TextBlock Width="50" Text="{Binding Ticker}" /> <TextBlock Width="50" Text="{Binding Price}" /> <TextBlock Width="50" Text="{Binding GainLoss}" /> </StackPanel> </DataTemplate> </ListBox.ItemTemplate> </ListBox> I have some C# code to populate it: var info = new List<StockInfo>(); info.Add(new StockInfo { Ticker = "C", Price = "5.18", GainLoss = "10" }); info.Add(new StockInfo { Ticker = "WEN", Price = "4.18", GainLoss = "12" }); info.Add(new StockInfo { Ticker = "CBB", Price = "5.22", GainLoss = "210" }); detailsList.ItemsSource = info; And that all works fine. My question is: how do I add/remove additional 'textblocks' to the listbox dynamically (at runtime)? Also, how do I put column headers on the list box?

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Is it wise to use temporary tables?

- by Industrial

Hi guys, We have a mySQL database table for products. We are utilizing a cache layer to reduce database load, but we think that it's a good idea to minimize the actual data needed to be stored in the cache layer to speed up the application further. All the products in the database, that is visible to visitors have a price attached to them: The prices are stored in a different table, called prices . There are multiple price categories depending on which discount level each visitor (customer) applies to. From time to time, there are campaigns which means that a special price for each product is available. The special prices are stored in a table called specials. Is it a bad to make a temp table that binds the tables together? It would only have the neccessary information and would ofcourse be cached. -------------|-------------|------------ | productId | hasPrice | hasSpecial -------------|-------------|------------ 1 | 1 | 0 2 | 1 | 1 By doing such, it would be super easy to know if the specific product really has a price, without having to iterate through the complete prices or specials table each time a product should be listed or presented. Are temp tables a common thing for web applications or is it just bad design?

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Count problem in SQL when I want results from diffrent tabels

- by Nicklas

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Reduce function calls

- by Curious2learn

Hello, I profiled my python program and found that the following function was taking too long to run. Perhaps, I can use a different algorithm and make it run faster. However, I have read that I can also possibly increase the speed by reducing function calls, especially when it gets called repeatedly within a loop. I am a python newbie and would like to learn how to do this and see how much faster it can get. Currently, the function is: def potentialActualBuyers(setOfPeople,theCar,price): count=0 for person in setOfPeople: if person.getUtility(theCar) >= price and person.periodCarPurchased==None: count += 1 return count where setOfPeople is a list of person objects. I tried the following: def potentialActualBuyers(setOfPeople,theCar,price): count=0 Utility=person.getUtility for person in setOfPeople: if Utility(theCar) >= price and person.periodCarPurchased==None: count += 1 return count This, however, gives me an error saying local variable 'person' referenced before assignment Any suggestions, how I can reduce function calls or any other changes that can make the code faster. Again, I am a python newbie and even though I may possibly be able to use a better algorithm, it is still worthwhile learning the answer to the above question. Thanks very much.

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Create associative multi-dimensional array

- by Mike

Hi, I have 3 variables, each one holding a different information and send values from a text file dynamicaly. I want to put them in a Associative multi-dimensional array. let's say : $product sends car, truck, train, etc. $price sends 1000, 3000, 1500, etc. $year sends 1997, 1980, 2008, etc. How to create a function which generates an array as follow, when i execute print_r(myarray): Array ( [0] => Array ( [product] => car [price] => 1000 [year] => 1997 ) [1] => Array ( [product] => truck [price] => 3000 [year] => 1980 ) [2] => Array ( [product] => train [price] => 1500 [year] => 2008 )) and so on. Does anyone know how to do this? Many thanks, Mike,

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NHibernate's ISQLQuery returns instances that are of an unexpected type.

- by Frederik Gheysels

Hi all, I'm using NHibernate 2.1.2.400, and I'm having an issue with a an ISQLQuery query. The reason why I use an ISQLQuery here, is that this query uses a table for which I have no entity mapped in NHibernate. The query looks like this: ISQLQuery query = session.CreateSQLQuery ( "select p.*, price.* " + "from prestation p left outer join prestationprice price on p.PrestationId = price.PrestationId " + "where p.Id IN ( select id from prestationregistry where ..."); 'Prestationregistry' is the table that is not known by NHibernate (unmapped, so therefore the native SQL Query). my code continues like this: query.AddEntity ("p", typeof(Prestation)); query.AddJoin ("price", typeof(PrestationPrice)); query.SetResultTransformer (Transformers.DistinctRootEntity); var result = query.List(); So far so good. I expect that I'm given a list of 'Prestation' instances as a result of this query, since I declared 'Prestation' as being the root-object that has to be returned by the AddEntity method. I also expect that the PrestationPrices for each Prestation are eagerly loaded by this query (hence the AddJoin method). To my surprise, the List() method returns a collection of PrestationPrice instances instead of Prestation instances. How come ? Am I doing something wrong ? And if so, could you be so kind to tell me what I'm doing wrong ? Edit: Additional Info: When I debug, and put a watch on the 'query' instance, I can see that the queryReturns member of the query contains 2 items: - one NativeSqlQueryRootReturn instance who'se ReturnEntityName is 'Prestation' - one NativeSqlQueryJoinReturn When I do not specify the 'DistinctRootEntity' result transformer, the query returns instances of 'Prestation' instead of PrestationPrice. However, it contains multiple copies of the same instance.

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How to render a POST and make it show up on another page

- by stack5914

I'm trying to create a marketplace website similar to craigslist. I created a form according to the Django tutorial "Working with forms", but I don't know how to render information I got from the POST forms. I want to make information(subject,price...etc) that I got from POST show up on another page like this. http://bakersfield.craigslist.org/atq/3375938126.html and, I want the "Subject"(please look at form.py) of this product(eg.1960 French Chair) to show up on another page like this. http://bakersfield.craigslist.org/ata/ } Can I get some advice to handle submitted information? Here's present codes. I'll appreciate all your answers and helps. <-! Here's my codes -- ?forms.py from django import forms class SellForm(forms.Form): subject = forms.CharField(max_length=100) price = forms.CharField(max_length=100) condition = forms.CharField(max_length=100) email = forms.EmailField() body = forms.TextField() ?views.py from django.shortcuts import render, render_to_response from django.http import HttpResponseRedirect from site1.forms import SellForm def sell(request): if request.method =="POST": form =SellForm(request.POST) if form.is_valid(): subject = form.cleaned_data['subject'] price = form.cleaned_data['price'] condition = form.cleaned_data['condition'] email = form.cleaned_data['email'] body = form.cleaned_data['body'] return HttpResponseRedirect('/books/') else: form=SellForm() render(request, 'sell.html',{'form':form,}) ?urls.py from django.conf.urls import patterns, include, url from django.contrib import admin admin.autodiscover() urlpatterns = patterns('', url(r'^sechand/$','site1.views.sell'), url(r'^admin/', include(admin.site.urls)), ) ?sell.html <form action = "/sell/" method = "post">{% csrf_token%} {{ form.as_p }} <input type = "submit" value="Submit" /> </form>

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Rails: include index with fields_for form helper

- by Patrick Oscity

i'm trying to build two models from one form by using the fields_for method. my code looks like this: <% for scale in @event.scales %> <% f.fields_for "scale[]", scale do |scale_form| %> <p> Scale<br /> <%= scale_form.label :name %> <%= scale_form.text_field :name %> <%= scale_form.label :price %> <%= scale_form.text_field :price %> </p> <% end %> <% end %> but unfortunately the output html is missing the id's of the scales: <p> Scale<br /> <label for="event_scale__name">Name</label> <input id="event_scale__name" name="event[scale][][name]" size="30" type="text" /> <label for="event_scale__price">Price</label> <input id="event_scale__price" name="event[scale][][price]" size="30" type="text" /> </p> ... here's the corresponding controller and model: class EventsController < ApplicationController ... def new @event = Event.new @providers = Provider.find(:all, :order => :name) 3.times { @event.scales.build } respond_to do |format| format.html end end ... end class Event < ActiveRecord::Base has_many :scales ... end what am i doing wrong?

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Perl, strings, floats, unit testing and regexps!

- by Chris R

OK, as a preface this question potentially is 'stupider' than my normal level of question - however this problem has been annoying me for the last few days so I'll ask it anyway. I'll give a mock example of what my problem is so I can hope to generalize it to my current problem. #!/usr/bin/perl -w use strict; use Test::More 'no_plan'; my $fruit_string = 'Apples cost $1.50'; my ($fruit, $price) = $fruit_string =~ /(\w+)s cost \$(\d+\.\d+)/; # $price += 0; # Uncomment for Great Success is ($price, 1.50, 'Great Success'); Now when this is run I get the message # Failed test 'Great Success' # got: '1.50' # expected: '1.5' To make the test work - I either uncomment the commented line, or use is ($price, '1.50', 'Great Success'). Both options do not work for me - I'm testing a huge amount of nested data using Test::Deep and cmp_deeply. My question is, how can you extract a double from a regexp then use it immediately as a double - or if there is a better way altogether let me know - and feel free to tell me to take up gardening or something lol, learning Perl is hard.

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XML file does't load when HTML5 video plays

- by DD77

I should be able to loads the related XML file and displays the content of the XML file as the video plays back. What am I missing? DEMO JAVSCRIPT // properties var XML_PATH = "http://www.adjustyourset.tv/interview/cuepoints.xml"; var video_width; var video_height; var videos_array=new Array(); // init the application function init() { // call loadXML function loadXML(); } // XML loading function loadXML() { $.ajax({ type: "GET", url: XML_PATH, dataType: "xml", success: function onXMLloaded(xml) { // set cuepoints find("cuepoints"); find("cuepoints"); // loop for each cuepoint $(xml).find('cuepoint').each(function loopingItems(value) { // create an object var obj={timeStamp:$(this).find("timeStamp").text(), desc:$(this).find("desc").text(), thumbLink:$(this).find("thumbLink").text(), price:$(this).find("price").text()}; videos_array.push(obj); // append <ul> and timeStamp $("#mycustomscroll").append('<ul>'); $("#mycustomscroll").append('<a><li id="item">Time Stamp:'+obj.timeStamp+'</li></a>'); }); // close </ul> $("#mycustomscroll").append('</ul>'); // append li tags $("#leftcolumn").append('<li src="'+videos_array[0].desc+'"> <p src="'+videos_array[0].thumbLink+'" /></li>'); // append description $("#price").append(videos_array[0].price); // call addListeners function addListeners(); } }); }

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Some Problem In Using DataSet.ReadXML

- by Chong

hi friends, i want to use dataset.readxml for retrieve some data from xml file.But,my xml format is not well format,one part is for dataset and another part for other things.so,how i retrieve the dataset part.i am developing in c#.net 2008.xml file format is like below. <Object type="Sample"> <Object type="Tool"> <Property name="Text">Prescription1</Property> <Property name="Name">Prescription1</Property> <Object type="TextBox"> <Property name="Text">Singapore</Property> <Property name="Name">TextBox2</Property> </Object> <DataSet> //This Part <TableOne> <ItemID>001</ItemID> <ItemName>Item001</ItemName> <Price>100</Price> </TableOne> <TableOne> <ItemID>002</ItemID> <ItemName>Item002</ItemName> <Price>200</Price> </TableOne> </DataSet> </Object> regards Chong

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Modify php shopping cart to support multiple drop down menus

- by Thomas

I have a shopping cart script that I am trying to modify to support multiple product selection. As it is now, the customer can select a product from a single drop down menu. Now, I would like to add multiple dropdown menus (all populated with the same options). Here is the php that outputs the dropdown menu: if($eshopoptions['options_num']>1){ $opt=$eshopoptions['options_num']; $replace.="\n".'<label for="eopt'.$theid.'"><select id="eopt'.$theid.'" name="option">'; for($i=1;$i<=$opt;$i++){ $option=$eshop_product['products'][$i]['option']; $price=$eshop_product['products'][$i]['price']; if($option!=''){ if($price!='0.00') $replace.='<option value="'.$i.'">'.stripslashes(esc_attr($option)).' @ '.sprintf( _c('%1$s%2$s|1-currency symbol 2-amount','eshop'), $currsymbol, number_format($price,2)).'</option>'."\n"; else $replace.='<option value="'.$i.'">'.stripslashes(esc_attr($option)).'</option>'."\n"; } } Is there some really simple way of getting the code to output the menu say 3 times instead of once?

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linked list sort function only loops once

- by Tristan Pearce

i have a singly linked list that i am trying to sort from least to greatest by price. here is what i have so far struct part { char* name; float price; int quantity; struct part *next; }; typedef struct part partType; partType *sort_price(partType **item) { partType *temp1 = *item; partType *temp2 = (*item)->next; if ( *item == NULL || (*item)->next == NULL ) return *item; else { while ( temp2 != NULL && temp2->next != NULL ){ if (temp2->price > temp2->next->price){ temp1->next = temp2->next; temp2->next = temp2->next->next; temp1->next->next = temp2; } temp1 = temp2; temp2 = temp2->next; } } return *item; } the list is already populated but when i call the sort function it only swaps the first two nodes that satisfy the condition in the if statement. I dont understand why it doesnt do the check again after the two temp pointers are incremented.

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php | Multidimensional array sorting

- by user889349

I have an array and need to be sorted (based on id): Array ( [0] => Array ( [qty] => 1 [id] => 3 [name] => Name1 [sku] => Model 1 [options] => [price] => 100.00 ) [1] => Array ( [qty] => 2 [id] => 1 [name] => Name2 [sku] => Model 1 [options] => Color: <em>Black (+10$)</em>. Memory: <em>32GB (+99$)</em>. [price] => 209.00 ) ) Is it possible to sort my array to get output (id based)? Array ( [0] => Array ( [qty] => 2 [id] => 1 [name] => Name2 [sku] => Model 1 [options] => Color: <em>Black (+10$)</em>. Memory: <em>32GB (+99$)</em>. [price] => 209.00 ) [1] => Array ( [qty] => 1 [id] => 3 [name] => Name1 [sku] => Model 1 [options] => [price] => 100.00 ) ) Thanks!

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How to "upgrade" the database in real world?

- by Tattat

My company have develop a web application using php + mysql. The system can display a product's original price and discount price to the user. If you haven't logined, you get the original price, if you loginned , you get the discount price. It is pretty easy to understand. But my company want more features in the system, it want to display different prices base on different user. For example, user A is a golden parnter, he can get 50% off. User B is a silver parnter, only have 30 % off. But this logic is not prepare in the original system, so I need to add some attribute in the database, at least a user type in this example. Is there any recommendation on how to merge current database to my new version of database. Also, all the data should preserver, and the server should works 24/7. (within stop the database) Is it possible to do so? Also , any recommend for future maintaince advice? Thz u.

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synchronizing reads to a java collection

- by jeff

so i want to have an arraylist that stores a series of stock quotes. but i keep track of bid price, ask price and last price for each. of course at any time, the bid ask or last of a given stock can change. i have one thread that updates the prices and one that reads them. i want to make sure that when reading no other thread is updating a price. so i looked at synchronized collection. but that seems to only prevent reading while another thread is adding or deleting an entry to the arraylist. so now i'm onto the wrapper approach: public class Qte_List { private final ArrayList<Qte> the_list; public void UpdateBid(String p_sym, double p_bid){ synchronized (the_list){ Qte q = Qte.FindBySym(the_list, p_sym); q.bid=p_bid;} } public double ReadBid(String p_sym){ synchronized (the_list){ Qte q = Qte.FindBySym(the_list, p_sym); return q.bid;} } so what i want to accomplish with this is only one thread can be doing anything - reading or updating an the_list's contents - at one time. am i approach this right? thanks.

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Selecting records in SQL that have the minimum value for that record based on another field

- by Ryan

I have a set of data, and while the number of fields and tables it joins with is quite complex, I believe I can distill my problem down using the required fields/tables here for illustration regarding this particular problem. I have three tables: ClientData, Sources, Prices Here is what my current query looks like before selecting the minimum value: select c.RecordID, c.Description, s.Source, p.Price, p.Type, p.Weight from ClientData c inner join Sources s ON c.RecordID = s.RecordID inner join Prices p ON s.SourceID = p.SourceID This produces the following result: RecordID Description Source Price Type Weight ============================================================= 001002003 ABC Common Stock Vendor 1 104.5 Close 1 001002003 ABC Common Stock Vendor 1 103 Bid 2 001002003 ABC Common Stock Vendor 2 106 Close 1 001002003 ABC Common Stock Vendor 2 100 Unknwn 0 111222333 DEF Preferred Stk Vendor 3 80 Bid 2 111222333 DEF Preferred Stk Vendor 3 82 Mid 3 111222333 DEF Preferred Stk Vendor 2 81 Ask 4 What I am trying to do is display prices that belong to the same record which have the minimum non-zero weight for that record (so the weight must be greater than 0, but it has to be the minimum from amongst the remaining weights). So in the above example, for record 001002003 I would want to show the close prices from Vendor 1 and Vendor 2 because they both have a weight of 1 (the minimum weight for that record). But for 111222333 I would want to show just the bid price from Vendor 3 because its weight of 2 is the minimum, non-zero for that record. The result that I'm after would like like: RecordID Description Source Price Type Weight ============================================================= 001002003 ABC Common Stock Vendor 1 104.5 Close 1 001002003 ABC Common Stock Vendor 2 106 Close 1 111222333 DEF Preferred Stk Vendor 3 80 Bid 2 Any ideas on how to achieve this? EDIT: This is for SQL Compact Edition.

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SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

- by Brian

Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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Query optimization using composite indexes

- by xmarch

Many times, during the process of creating a new Coherence application, developers do not pay attention to the way cache queries are constructed; they only check that these queries comply with functional specs. Later, performance testing shows that these perform poorly and it is then when developers start working on improvements until the non-functional performance requirements are met. This post describes the optimization process of a real-life scenario, where using a composite attribute index has brought a radical improvement in query execution times. The execution times went down from 4 seconds to 2 milliseconds! E-commerce solution based on Oracle ATG – Endeca In the context of a new e-commerce solution based on Oracle ATG – Endeca, Oracle Coherence has been used to calculate and store SKU prices. In this architecture, a Coherence cache stores the final SKU prices used for Endeca baseline indexing. Each SKU price is calculated from a base SKU price and a series of calculations based on information from corporate global discounts. Corporate global discounts information is stored in an auxiliary Coherence cache with over 800.000 entries. In particular, to obtain each price the process needs to execute six queries over the global discount cache. After the implementation was finished, we discovered that the most expensive steps in the price calculation discount process were the global discounts cache query. This query has 10 parameters and is executed 6 times for each SKU price calculation. The steps taken to optimise this query are described below; Starting point Initial query was: String filter = "levelId = :iLevelId AND salesCompanyId = :iSalesCompanyId AND salesChannelId = :iSalesChannelId "+ "AND departmentId = :iDepartmentId AND familyId = :iFamilyId AND brand = :iBrand AND manufacturer = :iManufacturer "+ "AND areaId = :iAreaId AND endDate >= :iEndDate AND startDate <= :iStartDate"; Map<String, Object> params = new HashMap<String, Object>(10); // Fill all parameters. params.put("iLevelId", xxxx); // Executing filter. Filter globalDiscountsFilter = QueryHelper.createFilter(filter, params); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); Set applicableDiscounts = globalDiscountsCache.entrySet(globalDiscountsFilter); With the small dataset used for development the cache queries performed very well. However, when carrying out performance testing with a real-world sample size of 800,000 entries, each query execution was taking more than 4 seconds. First round of optimizations The first optimisation step was the creation of separate Coherence index for each of the 10 attributes used by the filter. This avoided object deserialization while executing the query. Each index was created as follows: globalDiscountsCache.addIndex(new ReflectionExtractor("getXXX" ) , false, null); After adding these indexes the query execution time was reduced to between 450 ms and 1s. However, these execution times were still not good enough. Second round of optimizations In this optimisation phase a Coherence query explain plan was used to identify how many entires each index reduced the results set by, along with the cost in ms of executing that part of the query. Though the explain plan showed that all the indexes for the query were being used, it also showed that the ordering of the query parameters was "sub-optimal". Parameters associated to object attributes with high-cardinality should appear at the beginning of the filter, or more specifically, the attributes that filters out the highest of number records should be placed at the beginning. But examining corporate global discount data we realized that depending on the values of the parameters used in the query the “good” order for the attributes was different. In particular, if the attributes brand and family had specific values it was more optimal to have a different query changing the order of the attributes. Ultimately, we ended up with three different optimal variants of the query that were used in its relevant cases: String filter = "brand = :iBrand AND familyId = :iFamilyId AND departmentId = :iDepartmentId AND levelId = :iLevelId "+ "AND manufacturer = :iManufacturer AND endDate >= :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; String filter = "familyId = :iFamilyId AND departmentId = :iDepartmentId AND levelId = :iLevelId AND brand = :iBrand "+ "AND manufacturer = :iManufacturer AND endDate >= :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; String filter = "brand = :iBrand AND departmentId = :iDepartmentId AND familyId = :iFamilyId AND levelId = :iLevelId "+ "AND manufacturer = :iManufacturer AND endDate >= :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; Using the appropriate query depending on the value of brand and family parameters the query execution time dropped to between 100 ms and 150 ms. But these these execution times were still not good enough and the solution was cumbersome. Third and last round of optimizations The third and final optimization was to introduce a composite index. However, this did mean that it was not possible to use the Coherence Query Language (CohQL), as composite indexes are not currently supporte in CohQL. As the original query had 8 parameters using EqualsFilter, 1 using GreaterEqualsFilter and 1 using LessEqualsFilter, the composite index was built for the 8 attributes using EqualsFilter. The final query had an EqualsFilter for the multiple extractor, a GreaterEqualsFilter and a LessEqualsFilter for the 2 remaining attributes. All individual indexes were dropped except the ones being used for LessEqualsFilter and GreaterEqualsFilter. We were now running in an scenario with an 8-attributes composite filter and 2 single attribute filters. The composite index created was as follows: ValueExtractor[] ve = { new ReflectionExtractor("getSalesChannelId" ), new ReflectionExtractor("getLevelId" ), new ReflectionExtractor("getAreaId" ), new ReflectionExtractor("getDepartmentId" ), new ReflectionExtractor("getFamilyId" ), new ReflectionExtractor("getManufacturer" ), new ReflectionExtractor("getBrand" ), new ReflectionExtractor("getSalesCompanyId" )}; MultiExtractor me = new MultiExtractor(ve); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); globalDiscountsCache.addIndex(me, false, null); And the final query was: ValueExtractor[] ve = { new ReflectionExtractor("getSalesChannelId" ), new ReflectionExtractor("getLevelId" ), new ReflectionExtractor("getAreaId" ), new ReflectionExtractor("getDepartmentId" ), new ReflectionExtractor("getFamilyId" ), new ReflectionExtractor("getManufacturer" ), new ReflectionExtractor("getBrand" ), new ReflectionExtractor("getSalesCompanyId" )}; MultiExtractor me = new MultiExtractor(ve); // Fill composite parameters.String SalesCompanyId = xxxx;...AndFilter composite = new AndFilter(new EqualsFilter(me, Arrays.asList(iSalesChannelId, iLevelId, iAreaId, iDepartmentId, iFamilyId, iManufacturer, iBrand, SalesCompanyId)), new GreaterEqualsFilter(new ReflectionExtractor("getEndDate" ), iEndDate)); AndFilter finalFilter = new AndFilter(composite, new LessEqualsFilter(new ReflectionExtractor("getStartDate" ), iStartDate)); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); Set applicableDiscounts = globalDiscountsCache.entrySet(finalFilter); Using this composite index the query improved dramatically and the execution time dropped to between 2 ms and 4 ms. These execution times completely met the non-functional performance requirements . It should be noticed than when using the composite index the order of the attributes inside the ValueExtractor was not relevant.

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edit row in gridview

- by user576998

Hi.I would like to help me with my code. I have 2 gridviews. In the first gridview the user can choose with a checkbox every row he wants. These rows are transfered in the second gridview. All these my code does them well.Now, I want to edit the quantity column in second gridview to change the value but i don't know what i must write in edit box. Here is my code: using System; using System.Data; using System.Data.SqlClient; using System.Configuration; using System.Web; using System.Web.Security; using System.Web.UI; using System.Web.UI.WebControls; using System.Web.UI.WebControls.WebParts; using System.Web.UI.HtmlControls; using System.Collections; public partial class ShowLand : System.Web.UI.Page { protected void Page_Load(object sender, EventArgs e) { if (!IsPostBack) { BindPrimaryGrid(); BindSecondaryGrid(); } } private void BindPrimaryGrid() { string constr = ConfigurationManager.ConnectionStrings["conString"].ConnectionString; string query = "select * from Land"; SqlConnection con = new SqlConnection(constr); SqlDataAdapter sda = new SqlDataAdapter(query, con); DataTable dt = new DataTable(); sda.Fill(dt); gridview2.DataSource = dt; gridview2.DataBind(); } private void GetData() { DataTable dt; if (ViewState["SelectedRecords1"] != null) dt = (DataTable)ViewState["SelectedRecords1"]; else dt = CreateDataTable(); CheckBox chkAll = (CheckBox)gridview2.HeaderRow .Cells[0].FindControl("chkAll"); for (int i = 0; i < gridview2.Rows.Count; i++) { if (chkAll.Checked) { dt = AddRow(gridview2.Rows[i], dt); } else { CheckBox chk = (CheckBox)gridview2.Rows[i] .Cells[0].FindControl("chk"); if (chk.Checked) { dt = AddRow(gridview2.Rows[i], dt); } else { dt = RemoveRow(gridview2.Rows[i], dt); } } } ViewState["SelectedRecords1"] = dt; } private void SetData() { CheckBox chkAll = (CheckBox)gridview2.HeaderRow.Cells[0].FindControl("chkAll"); chkAll.Checked = true; if (ViewState["SelectedRecords1"] != null) { DataTable dt = (DataTable)ViewState["SelectedRecords1"]; for (int i = 0; i < gridview2.Rows.Count; i++) { CheckBox chk = (CheckBox)gridview2.Rows[i].Cells[0].FindControl("chk"); if (chk != null) { DataRow[] dr = dt.Select("id = '" + gridview2.Rows[i].Cells[1].Text + "'"); chk.Checked = dr.Length > 0; if (!chk.Checked) { chkAll.Checked = false; } } } } } private DataTable CreateDataTable() { DataTable dt = new DataTable(); dt.Columns.Add("id"); dt.Columns.Add("name"); dt.Columns.Add("price"); dt.Columns.Add("quantity"); dt.Columns.Add("total"); dt.AcceptChanges(); return dt; } private DataTable AddRow(GridViewRow gvRow, DataTable dt) { DataRow[] dr = dt.Select("id = '" + gvRow.Cells[1].Text + "'"); if (dr.Length <= 0) { dt.Rows.Add(); dt.Rows[dt.Rows.Count - 1]["id"] = gvRow.Cells[1].Text; dt.Rows[dt.Rows.Count - 1]["name"] = gvRow.Cells[2].Text; dt.Rows[dt.Rows.Count - 1]["price"] = gvRow.Cells[3].Text; dt.Rows[dt.Rows.Count - 1]["quantity"] = gvRow.Cells[4].Text; dt.Rows[dt.Rows.Count - 1]["total"] = gvRow.Cells[5].Text; dt.AcceptChanges(); } return dt; } private DataTable RemoveRow(GridViewRow gvRow, DataTable dt) { DataRow[] dr = dt.Select("id = '" + gvRow.Cells[1].Text + "'"); if (dr.Length > 0) { dt.Rows.Remove(dr[0]); dt.AcceptChanges(); } return dt; } protected void CheckBox_CheckChanged(object sender, EventArgs e) { GetData(); SetData(); BindSecondaryGrid(); } private void BindSecondaryGrid() { DataTable dt = (DataTable)ViewState["SelectedRecords1"]; gridview3.DataSource = dt; gridview3.DataBind(); } } and the source code is <asp:GridView ID="gridview2" runat="server" AutoGenerateColumns="False" DataKeyNames="id" DataSourceID="SqlDataSource5"> <Columns> <asp:TemplateField> <HeaderTemplate> <asp:CheckBox ID="chkAll" runat="server" onclick = "checkAll(this);" AutoPostBack = "true" OnCheckedChanged = "CheckBox_CheckChanged"/> </HeaderTemplate> <ItemTemplate> <asp:CheckBox ID="chk" runat="server" onclick = "Check_Click(this)" AutoPostBack = "true" OnCheckedChanged = "CheckBox_CheckChanged" /> </ItemTemplate> </asp:TemplateField> <asp:BoundField DataField="id" HeaderText="id" InsertVisible="False" ReadOnly="True" SortExpression="id" /> <asp:BoundField DataField="name" HeaderText="name" SortExpression="name" /> <asp:BoundField DataField="price" HeaderText="price" SortExpression="price" /> <asp:BoundField DataField="quantity" HeaderText="quantity" SortExpression="quantity" /> <asp:BoundField DataField="total" HeaderText="total" SortExpression="total" /> </Columns> </asp:GridView> <asp:SqlDataSource ID="SqlDataSource5" runat="server" ConnectionString="<%$ ConnectionStrings:ConnectionString %>" SelectCommand="SELECT * FROM [Land]"></asp:SqlDataSource> <br /> </div> <div> <asp:GridView ID="gridview3" runat="server" AutoGenerateColumns = "False" DataKeyNames="id" EmptyDataText = "No Records Selected" > <Columns> <asp:BoundField DataField = "id" HeaderText = "id" /> <asp:BoundField DataField = "name" HeaderText = "name" ReadOnly="True" /> <asp:BoundField DataField = "price" HeaderText = "price" DataFormatString="{0:c}" ReadOnly="True" /> <asp:TemplateField HeaderText="quantity"> <EditItemTemplate> <asp:TextBox ID="TextBox1" runat="server" Text='<%# Bind("quantity")%>'</asp:TextBox> </EditItemTemplate> <ItemTemplate> <asp:Label ID="Label1" runat="server" Text='<%# Bind("quantity") %>'></asp:Label> </ItemTemplate> </asp:TemplateField> <asp:BoundField DataField = "total" HeaderText = "total" DataFormatString="{0:c}" ReadOnly="True" /> <asp:CommandField ShowEditButton="True" /> </Columns> </asp:GridView> <asp:Label ID="totalLabel" runat="server"></asp:Label> <br /> </div> </form> </body> </html>

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