dataset

working with rss + c#

不打扰是莪最后的温柔 提交于 2020-01-14 04:29:12
问题 Hi I'm trying to working with RSS feeds in C#. I added RSS feeds like this and this When I try to read into a DataSet like: ds.readxml(rsspath) I get some tables in a DataSet. Now how do I know which table contains exact data of all the products? I'm not getting products list if I write: gv.datasource = ds.tables[0] Any help or suggestions? 回答1: XmlDocument+ XPath or Linq2Xml should be a better way of handling the data 回答2: You could also try RSS.NET. 回答3: Maybe you should check out the

Should AcceptChanges() be called every time a new row is added?

|▌冷眼眸甩不掉的悲伤 提交于 2020-01-13 18:33:09
问题 Which is recommended while (reader.Read()) { table.Rows.Add( new object[] { reader[0], reader[1], reader[2], reader[3] } ); table.AcceptChanges(); } or while (reader.Read()) { table.Rows.Add( new object[] { reader[0], reader[1], reader[2], reader[3] } ); } table.AcceptChanges(); Note where the table.AcceptChanges is placed. EDIT 1 Here is the code block: protected void Page_Load(object sender, EventArgs e) { IDataReader reader = cust.GetCustomerOrderSummary("99999"); using (DataSet ds = new

Exclude data sets from R package build

ε祈祈猫儿з 提交于 2020-01-13 08:10:13
问题 I'm implementing an R package, where I have several big .rda data files in the 'data' folder. When I build the package (with R CMD build to create the .tar.gz packed file), also the data files are included in the package, and since they are really big, this makes the build (as well the check) process very slow, and the final package size uselessly big. These data are downloaded from some DB through a function of the package, so the intent is not to include the data in the package, but to let

Use DataSet for retrieving, updating and inserting data to SQLite

扶醉桌前 提交于 2020-01-13 07:11:30
问题 On visual studio I can create a DataSet of my SQLite database by doing: 1) Connect to sqlite database file and create a table 2) Add new DataSet to my solution (DataSet2.xsd) 3) Drag tables to the designer Now how can I make use of the objects that visual studio created for me? for example I am trying to do something like: DataSet2.TableTestDataTable t = new DataSet2.TableTestDataTable(); var objects = t.GetObjectData(..// do not know how to use it OR DataSet2TableAdapters

Efficiently concatenate many sas datasets

蹲街弑〆低调 提交于 2020-01-13 04:18:45
问题 I have over 200k small datasets with the same variables (n<1000 and usually n<100) that I want to concatenate into a master dataset. I have tried using a macro that uses a data step to just iterate through all of the new datasets and concatenate with the master with "set master new:", but this is taking a really long time. Also, if I try to run at the same time, the call execute data step says that I am out of memory on a huge server box. For reference, all of the small datasets together are

Binding a wpf listview to a Dataset…Possible..?

人走茶凉 提交于 2020-01-13 04:15:29
问题 I was struggling moving to Wpf,I am just stuck while trying out databinding to a lsitview.I want to databind a listview to a dataset(dataset because the data i want to display in columns belongs to different tables).I am attaching a sample code that i am trying with.It works alright but the listliew only shows one row.What could be wrong.Can anyone guide me through.All the samples available are using datatables.None specifies about binding to a dataset.Pls help..any input will be highly

What is the structure of torch dataset?

前提是你 提交于 2020-01-12 10:16:26
问题 I am beginning to use torch 7 and I want to make my dataset for classification. I've already made pixel images and corresponding labels. However, I do not know how to feed those data to the torch. I read some codes from others and found out that they are using the dataset whose extension is '.t7' and I think it is a tensor type. Is it right? And I wonder how I can convert my pixel images(actually, I made them with Matlab by using MNIST dataset) into t7 extension compatible to the torch. There

DC and crossfilter with large datasets

眉间皱痕 提交于 2020-01-11 19:57:35
问题 I have been working on dc and crossfilter js and I currently have a large dataset with 550,000 rows and size 60mb csv and am facing a lot of issues with it like browser crashes etc So , I'm trying to understand how dc and crossfilter deals with large datasets. http://dc-js.github.io/dc.js/ The example on their main site runs very smoothly and after seeing timelines->memory (in console) it goes to a max of 34 mb and slowly reduces with time My project is taking up memory in the range of 300

Is DataSet slower than DataReader due to…?

橙三吉。 提交于 2020-01-11 03:16:07
问题 DataSets can be 10+ times slower than DataReader at retrieving data from DB. I assume this is due to overhead of DataSets having to deal with relations etc. But is the speed difference between DataSets and DataReader due to DataSets having to retrieve more data (information about relations ...) from DB, or due to application having to do more processing, or both? I assume DataAdapter uses DataReader under the hood and thus the number of commands application needs to execute in order to

Is DataSet slower than DataReader due to…?

徘徊边缘 提交于 2020-01-11 03:15:06
问题 DataSets can be 10+ times slower than DataReader at retrieving data from DB. I assume this is due to overhead of DataSets having to deal with relations etc. But is the speed difference between DataSets and DataReader due to DataSets having to retrieve more data (information about relations ...) from DB, or due to application having to do more processing, or both? I assume DataAdapter uses DataReader under the hood and thus the number of commands application needs to execute in order to