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• delphi Ado update insert betwen 2 records

  - by user315957

  i nead to update recordes from one table to the other (this for the master Table and f«the same for the DetailTable. first a posicion the record of the record´s of the table i whant to copy update from: Tabelamestre(Local_deste_cliente) (1 record ) NInterv.text:=dbedit1.text; Begin with ADOTable_casa do Begin Close; SQL.Clear; SQL.Add('SELECT * from Vibrometria_'); SQL.Add('Where numeracao LIKE ''%'+NInterv.text ); Open; end; end now i need to update/insert the record´s from Vibrometria := Local_deste_cliente (TADOTABLE) Now i nead to get the record above and do the same for the 2 detail tables Vibrometria_Sub (J) := Tabeladetail (Variaveis_neste_local). ((J) Records and i stil have another table thar get a master record from (K) Tabeladetail (Variaveis_neste_local) Vibrometria_Sub1 (K) := Tabeladetail1(Variaveis_neste_local1). ((k) Records lest´s say i nead to update 1 to N starting in the first table!!!!!!!! is there a fast solucion for this!!!!!! Thanks

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• DataReader or DataSet when pulling multiple recordsets in ASP.NET

  - by Gern Blandston

  I've got an ASP.NET page that has a bunch of controls that need to be populated (e.g. dropdown lists). I'd like to make a single trip to the db and bring back multiple recordsets instead of making a round-trip for each control. I could bring back multiple tables in a DataSet, or I could bring back a DataReader and use '.NextResult' to put each result set into a custom business class. Will I likely see a big enough performance advantage using the DataReader approach, or should I just use the DataSet approach? Any examples of how you usually handle this would be appreciated.

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• Selecting item from set given distribution

  - by JH

  I have a set of X items such as {blower, mower, stove} and each item has a certain percentage of times it should be selected from the overall set {blower=25%,mower=25%,stove=75%} along with a certain distribution that these items should follow (blower should be selected more at the beginning of selection and stove more at the end). We are given a number of objects to be overall selected (ie 100) and a overall time to do this in (say 100 seconds). I was thinking of using a roulette wheel algorithm where the weights on the wheel are affected by the current distribution as a function of the elapsed time (and the allowed duration) so that simple functions could be used to determine the weight. Are there any common approaches to problems like this that anyone is aware of? Currently i have programmed something similar to this in java using functions such as x^2 (with correct normalization for the weights) to ensure that a good distribution occurs. Other suggestions or common practices would be welcome :-)

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• Typed DataSet connection - required to have one in the .xsd file?

  - by Kyralessa

  In the .xsd file for a typed DataSet in .NET, there's a <Connections> section that contains a list of any data connections I've used to set up the DataTables and TableAdapters. There are times when I'd prefer not to have those there. For instance, sometimes I prefer to pass in a connection string to a custom constructor and use that rather than look for one in settings, .config, etc. But it seems like if I remove the connection strings from that section (leaving it empty), or remove the section entirely, the DataSet code-generation tool freaks out. Whereas if I don't remove them, the DataSet gripes when I put it in a different project because it can't find the settings for those connection strings. Is there any way I can tell a typed DataSet not to worry about any connections? (Obviously I'll have to give it a connection if I change any TableAdapter SQL or stored procs, but that should be my problem.)

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• How does the dataset determine the return type of a scalar query?

  - by Tobias Funke

  I am attempting to add a scalar query to a dataset. The query is pretty straight forward, it's just adding up some decimal values in a few columns and returning them. I am 100% confident that only one row and one column is returned, and that it is of decimal type (SQL money type). The problem is that for some reason, the generated method (in the .designer.cs code file) is returning a value of type object, when it should be decimal. What's strange is that there's another scalar query that has the exact same SQL but is returning decimal like it should. How does the dataset designer determine the data type, and how can I tell it to return decimal?

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• How does the dataset designer determine the return type of a scalar query?

  - by Tobias Funke

  I am attempting to add a scalar query to a dataset. The query is pretty straight forward, it's just adding up some decimal values in a few columns and returning them. I am 100% confident that only one row and one column is returned, and that it is of decimal type (SQL money type). The problem is that for some reason, the generated method (in the .designer.cs code file) is returning a value of type object, when it should be decimal. What's strange is that there's another scalar query that has the exact same SQL but is returning decimal like it should. How does the dataset designer determine the data type, and how can I tell it to return decimal?

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• What is the best way to databind a WPF control to a typed dataset?

  - by James

  I have a static, typed dataset that I am using within my WPF application that all the user controls must bind to. I want compilation to break if the dataset and the UI are out of sync. What approach have you found best to accomplish this?

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• Smartest way to import massive datasets into a Rails application?

  - by williamjones

  I've got multiple massive (multi gigabyte) datasets I need to import into a Rails app. The datasets are currently each in their own database on my development machine, and I need to read from them and create rows in tables in my Rails database based on the information they contain. The tables in my Rails database will not be exactly the same as the tables in the source databases. What's the smartest way to go about this? I was thinking migrations, but I'm not exactly sure how to connect the migration to the databases, and even if that is possible, is that going to be ridiculously slow?

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• New Analytic settings for the new code

  - by Steve Tunstall

  If you have upgraded to the new 2011.1.3.0 code, you may find some very useful settings for the Analytics. If you didn't already know, the analytic datasets have the potential to fill up your OS hard drives. The more datasets you use and create, that faster this can happen. Since they take a measurement every second, forever, some of these metrics can get in the multiple GB size in a matter of weeks. The traditional 'fix' was that you had to go into Analytics -> Datasets about once a month and clean up the largest datasets. You did this by deleting them. Ouch. Now you lost all of that historical data that you might have wanted to check out many months from now. Or, you had to export each metric individually to a CSV file first. Not very easy or fun. You could also suspend a dataset, and have it not collect data at all. Well, that fixed the problem, didn't it? of course you now had no data to go look at. Hmmmm.... All of this is no longer a concern. Check out the new Settings tab under Analytics... Now, I can tell the ZFSSA to keep every second of data for, say, 2 weeks, and then average those 60 seconds of each minute into a single 'minute' value. I can go even further and ask it to average those 60 minutes of data into a single 'hour' value.  This allows me to effectively shrink my older datasets by a factor of 1/3600 !!! Very cool. I can now allow my datasets to go forever, and really never have to worry about them filling up my OS drives. That's great going forward, but what about those huge datasets you already have? No problem. Another new feature in 2011.1.3.0 is the ability to shrink the older datasets in the same way. Check this out. I have here a dataset called "Disk: I/O opps per second" that is about 6.32M on disk (You need not worry so much about the "In Core" value, as that is in RAM, and it fluctuates all the time. Once you stop viewing a particular metric, you will see that shrink over time, just relax).  When one clicks on the trash can icon to the right of the dataset, it used to delete the whole thing, and you would have to re-create it from scratch to get the data collecting again. Now, however, it gives you this prompt: As you can see, this allows you to once again shrink the dataset by averaging the second data into minutes or hours. Here is my new dataset size after I do this. So it shrank from 6.32MB down to 2.87MB, but i can still see my metrics going back to the time I began the dataset. Now, you do understand that once you do this, as you look back in time to the minute or hour data metrics, that you are going to see much larger time values, right? You will need to decide what size of granularity you can live with, and for how long. Check this out. Here is my Disk: Percent utilized from 5-21-2012 2:42 pm to 4:22 pm: After I went through the delete process to change everything older than 1 week to "Minutes", the same date and time looks like this: Just understand what this will do and how you want to use it. Right now, I'm thinking of keeping the last 6 weeks of data as "seconds", and then the last 3 months as "Minutes", and then "Hours" forever after that. I'll check back in six months and see how the sizes look. Steve 

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• What are the best practices for importing large datasets into MongoDB?

  - by snl

  We are just giving MongoDB a test run and have set up a Rails 3 app with Mongoid. What are the best practices for inserting large datasets into MongoDB? To flesh out a scenario: Say, I have a book model and want to import several million records from a CSV file. I suppose this needs to be done in the console, so this may possibly not be a Ruby-specific question. Edited to add: I assume it makes a huge difference whether the imported data includes associations or is supposed to go into one model only. Any comments on either scenario welcome.

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• Loading datasets from datastore and merge into single dictionary. Resource problem.

  - by fredrik

  Hi, I have a productdatabase that contains products, parts and labels for each part based on langcodes. The problem I'm having and haven't got around is a huge amount of resource used to get the different datasets and merging them into a dict to suit my needs. The products in the database are based on a number of parts that is of a certain type (ie. color, size). And each part has a label for each language. I created 4 different models for this. Products, ProductParts, ProductPartTypes and ProductPartLabels. I've narrowed it down to about 10 lines of code that seams to generate the problem. As of currently I have 3 Products, 3 Types, 3 parts for each type, and 2 languages. And the request takes a wooping 5500ms to generate. for product in productData: productDict = {} typeDict = {} productDict['productName'] = product.name cache_key = 'productparts_%s' % (slugify(product.key())) partData = memcache.get(cache_key) if not partData: for type in typeData: typeDict[type.typeId] = { 'default' : '', 'optional' : [] } ## Start of problem lines ## for defaultPart in product.defaultPartsData: for label in labelsForLangCode: if label.key() in defaultPart.partLabelList: typeDict[defaultPart.type.typeId]['default'] = label.partLangLabel for optionalPart in product.optionalPartsData: for label in labelsForLangCode: if label.key() in optionalPart.partLabelList: typeDict[optionalPart.type.typeId]['optional'].append(label.partLangLabel) ## end problem lines ## memcache.add(cache_key, typeDict, 500) partData = memcache.get(cache_key) productDict['parts'] = partData productList.append(productDict) I guess the problem lies in the number of for loops is too many and have to iterate over the same data over and over again. labelForLangCode get all labels from ProductPartLabels that match the current langCode. All parts for a product is stored in a db.ListProperty(db.key). The same goes for all labels for a part. The reason I need the some what complex dict is that I want to display all data for a product with it's default parts and show a selector for the optional one. The defaultPartsData and optionaPartsData are properties in the Product Model that looks like this: @property def defaultPartsData(self): return ProductParts.gql('WHERE __key__ IN :key', key = self.defaultParts) @property def optionalPartsData(self): return ProductParts.gql('WHERE __key__ IN :key', key = self.optionalParts) When the completed dict is in the memcache it works smoothly, but isn't the memcache reset if the application goes in to hibernation? Also I would like to show the page for first time user(memcache empty) with out the enormous delay. Also as I said above, this is only a small amount of parts/product. What will the result be when it's 30 products with 100 parts. Is one solution to create a scheduled task to cache it in the memcache every hour? It this efficient? I know this is alot to take in, but I'm stuck. I've been at this for about 12 hours straight. And can't figure out a solution. ..fredrik

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• Getting minimum - Min() - for DateTime column in a DataTable using LINQ to DataSets?

  - by Jay Stevens

  I need to get the minimum DateTime value of a column in a DataTable. The DataTable is generated dynamically from a CSV file, therefore I don't know the name of that column until runtime. Here is code I've got that doesn't work... private DateTime GetStartDateFromCSV(string inputFile, string date_attr) { EnumerableRowCollection<DataRow> table = CsvStreamReader.GetDataTableFromCSV(inputFile, "input", true).AsEnumerable(); DateTime dt = table.Select(record => record.Field<DateTime>(date_attr)).Min(); return dt; } The variable table is broken out just for clarity. I basically need to find the minimum value as a DateTime for one of the columns (to be chosen at runtime and represented by date_attr). I have tried several solutions from SO (most deal with known columns and/or non-DateTime fields). What I've got throws an error at runtime telling me that it can't do the DateTime conversion (that seems to be a problem with Linq?) I've confirmed that the data for the column name that is in the string date_attr is a date value.

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• Linq: Why won't Group By work when Querying DataSets?

  - by jrcs3

  While playing with Linq Group By statements using both DataSet and Linq-to-Sql DataContext, I get different results with the following VB.NET 10 code: #If IS_DS = True Then Dim myData = VbDataUtil.getOrdersDS #Else Dim myData = VbDataUtil.GetNwDataContext #End If Dim MyList = From o In myData.Orders Join od In myData.Order_Details On o.OrderID Equals od.OrderID Join e In myData.Employees On o.EmployeeID Equals e.EmployeeID Group By FullOrder = New With { .OrderId = od.OrderID, .EmployeeName = (e.FirstName & " " & e.LastName), .ShipCountry = o.ShipCountry, .OrderDate = o.OrderDate } _ Into Amount = Sum(od.Quantity * od.UnitPrice) Where FullOrder.ShipCountry = "Venezuela" Order By FullOrder.OrderId Select FullOrder.OrderId, FullOrder.OrderDate, FullOrder.EmployeeName, Amount For Each x In MyList Console.WriteLine( String.Format( "{0}; {1:d}; {2}: {3:c}", x.OrderId, x.OrderDate, x.EmployeeName, x.Amount)) Next With Linq2SQL, the grouping works properly, however, the DataSet code doesn't group properly. Here are the functions that I call to create the DataSet and Linq-to-Sql DataContext Public Shared Function getOrdersDS() As NorthwindDS Dim ds As New NorthwindDS Dim ota As New OrdersTableAdapter ota.Fill(ds.Orders) Dim otda As New Order_DetailsTableAdapter otda.Fill(ds.Order_Details) Dim eda As New EmployeesTableAdapter eda.Fill(ds.Employees) Return ds End Function Public Shared Function GetNwDataContext() As NorthwindL2SDataContext Dim s As New My.MySettings Return New NorthwindL2SDataContext(s.NorthwindConnectionString) End Function What am I missing? If it should work, how do I make it work, if it can't work, why not (what interface isn't implemented, etc)?

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• How can I bind events to strongly typed datasets of different types?

  My application contains several forms which consist of a strongly typed datagridview, a strongly typed bindingsource, and a strongly typed table adapter. I am using some code in each form to update the database whenever the user leaves the current row, shifts focus away from the datagrid or the form, or closes the form. This code is the same in each case, so I want to make a subclass of form, from which all of these forms can inherit. But the strongly typed data objects all inherit from component, which doesn't expose the events I want to bind to or the methods I want to invoke. The only way I can see of gaining access to the events is to use: Type(string Name).GetEvent(string EventName).AddEventHandler(object Target,Delegate Handler) Similarly, I want to call the Update method of the strongly typed table adapter, and am using Type(string Name).GetMethod(String name, Type[] params).Invoke(object target, object[] params). It works ok, but it seems very heavy handed. Is there a better way? Here is my code for the main class: using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Windows.Forms; using System.Data; using System.Data.SqlClient; using System.ComponentModel; namespace MyApplication { public class AutoSaveDataGridForm: Form { private DataRow PreviousRow; public Component Adapter { private get; set; } private Component dataGridView; public Component DataGridView { private get { return dataGridView; } set { dataGridView = value; Type t = dataGridView.GetType(); t.GetEvent("Leave").AddEventHandler(dataGridView, new EventHandler(DataGridView_Leave)); } } private Component bindingSource; public Component BindingSource { private get { return bindingSource; } set { bindingSource = value; Type t = bindingSource.GetType(); t.GetEvent("PositionChanged").AddEventHandler(bindingSource, new EventHandler(BindingSource_PositionChanged)); } } protected void Save() { if (PreviousRow != null && PreviousRow.RowState != DataRowState.Unchanged) { Type t = Adapter.GetType(); t.GetMethod("Update", new Type[] { typeof(DataRow[]) }).Invoke(Adapter, new object[] { new DataRow[] { PreviousRow } }); } } private void BindingSource_PositionChanged(object sender, EventArgs e) { BindingSource bindingSource = sender as BindingSource; DataRowView CurrentRowView = bindingSource.Current as DataRowView; DataRow CurrentRow = CurrentRowView.Row; if (PreviousRow != null && PreviousRow != CurrentRow) { Save(); } PreviousRow = CurrentRow; } private void InitializeComponent() { this.SuspendLayout(); // // AutoSaveDataGridForm // this.FormClosed += new System.Windows.Forms.FormClosedEventHandler(this.AutoSaveDataGridForm_FormClosed); this.Leave += new System.EventHandler(this.AutoSaveDataGridForm_Leave); this.ResumeLayout(false); } private void DataGridView_Leave(object sender, EventArgs e) { Save(); } private void AutoSaveDataGridForm_FormClosed(object sender, FormClosedEventArgs e) { Save(); } private void AutoSaveDataGridForm_Leave(object sender, EventArgs e) { Save(); } } } And here is a (partial) form which implements it: public partial class FileTypesInherited :AutoSaveDataGridForm { public FileTypesInherited() { InitializeComponent(); } private void FileTypesInherited_Load(object sender, EventArgs e) { // TODO: This line of code loads data into the 'sharedFoldersInformationV2DataSet.tblFileTypes' table. You can move, or remove it, as needed. this.tblFileTypesTableAdapter.Fill(this.sharedFoldersInformationV2DataSet.tblFileTypes); this.BindingSource = tblFileTypesBindingSource; this.Adapter = tblFileTypesTableAdapter; this.DataGridView = tblFileTypesDataGridView; } }

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• How to troubleshoot a Highcharts script that's not rendering data when date is added and hanging the JS engine with large datasets?

  - by ylluminate

  I have a Highchart JS graph that I'm building in Rails (although I don't think Ruby has real bearing on this problem unless it's the Date output format) to which I'm adding the timestamp of each datapoint. Presently the array of floats is rendering fine without timestamps, however when I add the timestamp to the series it fails to rend. What's worse is that when the series has hundreds of entries all sorts of problems arise, not the least of which is the browser entirely hanging and requiring a force quit / kill. I'm using the following to build the array of arrays data series: series1 = readings.map{|row| [(row.date.to_i * 1000), (row.data1.to_f if BigDecimal(row.data1) != BigDecimal("-1000.0"))] } This yields a result like this: series: [{"name":"Data 1","data":[[1326262980000,1.79e-09],[1326262920000,1.29e-09],[1326262860000,1.22e-09],[1326262800000,1.42e-09],[1326262740000,1.29e-09],[1326262680000,1.34e-09],[1326262620000,1.31e-09],[1326262560000,1.51e-09],[1326262500000,1.24e-09],[1326262440000,1.7e-09],[1326262380000,1.24e-09],[1326262320000,1.29e-09],[1326262260000,1.53e-09],[1326262200000,1.23e-09],[1326262140000,1.21e-09]],"color":"blue"}] Yet nothing appears on the graph as noted. Notwithstanding, when I compare the data series in one of their very similar examples here: http://www.highcharts.com/demo/spline-irregular-time It appears that really the data series are formatted identically (except in mine I use the timestamp vs date method). This leads me to think I've got a problem with the timestamp output, but I'm just not able to figure out where / how as I'm converting the date output to an integer multipled by 1000 to convert it to milliseconds as per explained in a similar Railscasts tutorial. I would very much appreciate it if someone could point me in the right direction here as to what I may be doing wrong. What could cause no data to appear on the graph in smaller sized sets (<100 points) and when into the hundreds causes an apparent hang in the javascript engine in this case? Perhaps ultimately the key lies here as this is the entire js that's being generated and not rendering: jQuery(function() { // 1. Define JSON options var options = { chart: {"defaultSeriesType":"spline","renderTo":"chart_name"}, title: {"text":"Title"}, legend: {"layout":"vertical","style":{}}, xAxis: {"title":{"text":"UTC Time"},"type":"datetime"}, yAxis: [{"title":{"text":"Left Title","margin":10}},{"title":{"text":"Right Groups Title"},"opposite":true}], tooltip: {"enabled":true}, credits: {"enabled":false}, plotOptions: {"areaspline":{}}, series: [{"name":"Data 1","data":[[1326262980000,1.79e-08],[1326262920000,1.69e-08],[1326262860000,1.62e-08],[1326262800000,1.42e-08],[1326262740000,1.29e-08],[1326262680000,1.34e-08],[1326262620000,1.31e-08],[1326262560000,1.51e-08],[1326262500000,1.64e-08],[1326262440000,1.7e-08],[1326262380000,1.64e-08],[1326262320000,1.69e-08],[1326262260000,1.53e-08],[1326262200000,1.23e-08],[1326262140000,1.21e-08]],"color":"blue"},{"name":"Data 2","data":[[1326262980000,9.79e-09],[1326262920000,9.78e-09],[1326262860000,9.8e-09],[1326262800000,9.82e-09],[1326262740000,9.88e-09],[1326262680000,9.89e-09],[1326262620000,1.3e-06],[1326262560000,1.32e-06],[1326262500000,1.33e-06],[1326262440000,1.33e-06],[1326262380000,1.34e-06],[1326262320000,1.33e-06],[1326262260000,1.32e-06],[1326262200000,1.32e-06],[1326262140000,1.32e-06]],"color":"red"}], subtitle: {} }; // 2. Add callbacks (non-JSON compliant) // 3. Build the chart var chart = new Highcharts.StockChart(options); });

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• are there any useful datasets available on the web for data mining?

  - by niko

  Hi, Does anyone know any good resource where example (real) data can be downloaded for experimenting statistics and machine learning techniques such as decision trees etc? Currently I am studying machine learning techniques and it would be very helpful to have real data for evaluating the accuracy of various tools. If anyone knows any good resource (perhaps csv, xls files or any other format) I would be very thankful for a suggestion.

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• What's the most efficient way to manage large datasets with Javascript/jQuery in IE?

  - by RenderIn

  I have a search that returns JSON, which I then transform into a HTML table in Javascript. It repeatedly calls the jQuery.append() method, once for each row. I have a modern machine, and the Firefox response time is acceptable. But in IE 8 it is unbearably slow. I decided to move the transformation from data to HTML into the server-side PHP, changing the return type from JSON to HTML. Now, rather than calling the jQuery.append() time repeatedly, I call the jQuery.html() method once with the entire table. I noticed Firefox got faster, but IE got slower. These results are anecdotal and I have not done any benchmarking, but the IE performance is very disappointing. Is there something I can do to speed up the manipulation of large amounts of data in IE or is it simply a bad idea to process very much data at once with AJAX/Javascript?

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• Infinite loop when adding a row to a list in a class in python3

  - by Margaret

  I have a script which contains two classes. (I'm obviously deleting a lot of stuff that I don't believe is relevant to the error I'm dealing with.) The eventual task is to create a decision tree, as I mentioned in this question. Unfortunately, I'm getting an infinite loop, and I'm having difficulty identifying why. I've identified the line of code that's going haywire, but I would have thought the iterator and the list I'm adding to would be different objects. Is there some side effect of list's .append functionality that I'm not aware of? Or am I making some other blindingly obvious mistake? class Dataset: individuals = [] #Becomes a list of dictionaries, in which each dictionary is a row from the CSV with the headers as keys def field_set(self): #Returns a list of the fields in individuals[] that can be used to split the data (i.e. have more than one value amongst the individuals def classified(self, predicted_value): #Returns True if all the individuals have the same value for predicted_value def fields_exhausted(self, predicted_value): #Returns True if all the individuals are identical except for predicted_value def lowest_entropy_value(self, predicted_value): #Returns the field that will reduce <a href="http://en.wikipedia.org/wiki/Entropy_%28information_theory%29">entropy</a> the most def __init__(self, individuals=[]): and class Node: ds = Dataset() #The data that is associated with this Node links = [] #List of Nodes, the offspring Nodes of this node level = 0 #Tree depth of this Node split_value = '' #Field used to split out this Node from the parent node node_value = '' #Value used to split out this Node from the parent Node def split_dataset(self, split_value): fields = [] #List of options for split_value amongst the individuals datasets = {} #Dictionary of Datasets, each one with a value from fields[] as its key for field in self.ds.field_set()[split_value]: #Populates the keys of fields[] fields.append(field) datasets[field] = Dataset() for i in self.ds.individuals: #Adds individuals to the datasets.dataset that matches their result for split_value datasets[i[split_value]].individuals.append(i) #<---Causes an infinite loop on the second hit for field in fields: #Creates subnodes from each of the datasets.Dataset options self.add_subnode(datasets[field],split_value,field) def add_subnode(self, dataset, split_value='', node_value=''): def __init__(self, level, dataset=Dataset()): My initialisation code is currently: if __name__ == '__main__': filename = (sys.argv[1]) #Takes in a CSV file predicted_value = "# class" #Identifies the field from the CSV file that should be predicted base_dataset = parse_csv(filename) #Turns the CSV file into a list of lists parsed_dataset = individual_list(base_dataset) #Turns the list of lists into a list of dictionaries root = Node(0, Dataset(parsed_dataset)) #Creates a root node, passing it the full dataset root.split_dataset(root.ds.lowest_entropy_value(predicted_value)) #Performs the first split, creating multiple subnodes n = root.links[0] n.split_dataset(n.ds.lowest_entropy_value(predicted_value)) #Attempts to split the first subnode.

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• Microsoft Codename Dallas

  - by kaleidoscope

  Dallas is Microsoft’s Information Service offering which allows developers and information workers to find, acquire and consume published datasets and web services. Users subscribe to datasets and web services of interest and can integrate the information into their own applications via a standardized set of API’s. Data can also be analyzed online using the Dallas Service Explorer or externally using the Power Pivot Add-In for Excel. We can explore all the datasets and subscribe to the catalog for using the data. Dallas Developer Portal https://www.sqlazureservices.com More information can be found at:      http://channel9.msdn.com/learn/courses/Azure/Dallas/IntroToDallas/Overview/   Lokesh, M

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• RESTful API design question - how should one allow users to create new resource instances?

  - by Tamás

  I'm working in a research group where we intend to publish implementations of some of the algorithms we develop on the web via a RESTful API. Most of these algorithms work on small to medium size datasets, and in many cases, a user of our services might want to run multiple queries (with different parameters) on the same dataset, so for me it seems reasonable to allow users to upload their datasets in advance and refer to them in their queries later. In this sense, a dataset could be a resource in my API, and an algorithm could be another. My question is: how should I let the users upload their own datasets? I cannot simply let users upload their data to /dataset/dataset_id as letting the users invent their own dataset_ids might result in ID collision and users overwriting each other's datasets by accident. (I believe one of the most frequently used dataset ID would be test). I think an ideal way would be to have a dedicated URL (like /dataset/upload) where users can POST their datasets and the response would contain a unique ID under which the dataset was stored, but I'm not sure that it does not violate the basic principles of REST. What is the preferred way of dealing with such scenarios?

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• Code thinks Datagrid footer textbox is empty...

  - by The Sheek Geek

  Hello All, I am working on an .net (C#) web application. Recently a defect came my way that stated that when two users were logged into the application at the same time they both could not update values without one refreshing the page. When I looked into the issue I discovered that the author of the code has used static datasets. I changed the datasets to not be static and everything works great. However, This issue spans many pages in the application and I must fix it everywhere. On some of these pages the application uses datasets to bind data to datagrids. The datagrids are populated with the information in the dataset and the footer contains some textboxes and an add button to add extra rows. Here is where the problem starts: When the page was using static datasets and the user attempted to add a row through the interface everything worked fine. However, when I changed it to use datasets that were not static (they are loaded every time the page loads) and the user attempts to add a row, the code thinks that the textbox is empty (discovered when debugging even though I can see the text that I entered) and empty field validation fails and a message is displayed. Can someone please tell me why on Earth this is happening? Why does it see the text when the dataset is static (the dataset NEVER populates the foot row) and not see the text when it is not static? Some insight would be awesome! Thanks in advance!

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• .NET Database application guidance.

  - by Wally

  Hello, I'm stumbling in the data wilderness and feel very lost, so i am asking for help. I have done some database apps in VS (C#) winforms for some time, wpf lately. These are small to medium apps (embedded dbs, a bit of sql server), like a restaurants, cash registers and similar. (15-20 tables) Until now, i have done all my datasets by drag and drop in Visual Studio designer. I spent weeks on web trying to find some complete solution how to write complete solution with typed datasets by hand from scratch (DAL, B.Objects) in hope to learn some architecture patterns along the way, but without success. So, finally question. Can someone recommend me what to learn for this type of applications, maybe move away from datasets , use some ORM ( maybe overkill, i dont know). Point me in some direction please.

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• scikit learn extratreeclassifier hanging

  - by denson

  I'm running the scikit learn on some rather large training datasets ~1,600,000,000 rows with ~500 features. The platform is Ubuntu server 14.04, the hardware has 100gb of ram and 20 CPU cores. The test datasets are about half as many rows. I set n_jobs = 10, and am forest_size = 3*number_of_features so about 1700 trees. If I reduce the number of features to about 350 it works fine but never completes the training phase with the full feature set of 500+. The process is still executing and using up about 20gb of ram but is using 0% of CPU. I have also successfully completed on datasets with ~400,000 rows but twice as many features which completes after only about 1 hour. I am being careful to delete any arrays/objects that are not in use. Does anyone have any ideas I might try?

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• Determining Merge Errors in a Typed DataSet

  Discover the underlying cause of Merge Constraint errors when merging DataSets.

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• Linq To Dataset: Display the contents of several tables in a data control

  In several cases we will be required to work with data in different datasets, or on the same dataset but at different DataTables

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