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  • Dojo - How to position tooltip close to text?

    - by user244394
    Like the title says i want to be able to display the tooltip close to the text, currently it is displayed far away in the cell. Tobe noted the tooltip positions correctly for large text, only fails for small text. In DOJO How can i position the tooltip close to the text? I have this bit of code snippet that display the tooltip in the grid cells. Screenshot attached, html <div class="some_app claro"></div> ... com.c.widget.EnhancedGrid = function ( aParent, options ) { var grid, options; this.theParentApp = aParent; dojo.require("dojox.grid.EnhancedGrid"); dojo.require("dojox.grid.enhanced.plugins.Menu"); dojo.require("dojox.grid.enhanced.plugins.Selector"); dojo.require("dojox.grid.enhanced.plugins.Pagination"); dojo.require("dojo.store.Memory"); dojo.require("dojo.data.ObjectStore"); dojo.require("dojo._base.xhr"); dojo.require("dojo.domReady!"); dojo.require("dojo.date.locale"); dojo.require("dojo._base.connect"); dojo.require("dojox.data.JsonRestStore"); dojo.require("dojo.data.ItemFileReadStore"); dojo.require("dijit.Menu"); dojo.require("dijit.MenuItem"); dojo.require('dijit.MenuSeparator'); dojo.require('dijit.CheckedMenuItem'); dojo.require('dijit.Tooltip'); dojo.require('dojo/query'); dojo.require("dojox.data.QueryReadStore"); // main initialization function this.init = function( options ) { var me = this; // default options var defaultOptions = { widgetName: ' Enhancedgrid', render: true, // immediately render the grid draggable: true, // disables column dragging containerNode: false, // the Node to hold the Grid (optional) mashupUrl: false, // the URL of the mashup (required) rowsPerPage: 20, //Default number of items per page columns: false, // columns (required) width: "100%", // width of grid height: "100%", // height of grid rowClass: function (rowData) {}, onClick: function () {}, headerMenu: false, // adding a menu pop-up for the header. selectedRegionMenu: false, // adding a menu pop-up for the rows. menusObject: false, //object to start-up the menus using the plug-in. sortInfo: false, // The column default sort infiniteScrolling: false //If true, the enhanced grid will have an infinite scrolling. }; // merge user provided options me.options = jQuery.extend( {}, defaultOptions, options ); // check we have minimum required options if ( ! me.options.mashupUrl ){ throw ("You must supply a mashupUrl"); } if ( ! me.options.columns ){ throw ("You must supply columns"); } // make the column for formatting based on its data type. me.preProcessColumns(); // create the Contextual Menu me.createMenu(); // create the grid object and return me.createGrid(); }; // Loading the data to the grid. this.loadData = function () { var me = this; if (!me.options.infiniteScrolling) { var xhrArgs = { url: me.options.mashupUrl, handleAs: "json", load: function( data ){ var store = new dojo.data.ItemFileReadStore({ data : {items : eval( "data."+me.options.dataRoot)}}); store.fetch({ onComplete : function(items, request) { if (me.grid.selection !== null) { me.grid.selection.clear(); } me.grid.setStore(store); }, onError : function(error) { me.onError(error); } }); }, error: function (error) { me.onError(error); } }; dojo.xhrGet(xhrArgs); } else { dojo.declare('NotificationQueryReadStore', dojox.data.QueryReadStore, { // // hacked -- override to map to proper data structure // from mashup // _xhrFetchHandler : function(data, request, fetchHandler, errorHandler) { // // TODO: need to have error handling here when // data has "error" data structure // // // remap data object before process by super method // var dataRoot = eval ("data."+me.options.dataRoot); var dataTotal = eval ("data."+me.options.dataTotal); data = { numRows : dataTotal, items : dataRoot }; // call to super method to process mapped data and // set rowcount // for proper display this.inherited(arguments); } }); var queryStore = new NotificationQueryReadStore({ url : me.options.mashupUrl, urlPreventCache: true, requestMethod : "get", onError: function (error) { me.onError(error); } }); me.grid.setStore(queryStore); } }; this.preProcessColumns = function () { var me = this; var options = me.options; for (i=0;i<this.options.columns.length;i++) { if (this.options.columns[i].formatter==null) { switch (this.options.columns[i].datatype) { case "string": this.options.columns[i].formatter = me.formatString; break; case "date": this.options.columns[i].formatter = me.formatDate; var todayDate = new Date(); var gmtTime = c.util.Date.parseDate(todayDate.toString()).toString(); var gmtval = gmtTime.substring(gmtTime.indexOf('GMT'),(gmtTime.indexOf('(')-1)); this.options.columns[i].name = this.options.columns[i].name + " ("+gmtval+")"; } } if (this.options.columns[i].sortDefault) { me.options.sortInfo = i+1; } } }; // create GRID object using supplied options this.createGrid = function () { var me = this; var options = me.options; // create a new grid this.grid = new dojox.grid.EnhancedGrid ({ width: options.width, height: options.height, query: { id: "*" }, keepSelection: true, formatterScope: this, structure: options.columns, columnReordering: options.draggable, rowsPerPage: options.rowsPerPage, //sortInfo: options.sortInfo, plugins : { menus: options.menusObject, selector: {"row":"multi", "cell": "disabled" }, }, //Allow the user to decide if a column is sortable by setting sortable = true / false canSort: function(col) { if (options.columns[Math.abs(col)-1].sortable) return true; else return false; }, //Change the row colors depending on severity column. onStyleRow: function (row) { var grid = me.grid; var item = grid.getItem(row.index); if (item && options.rowClass(item)) { row.customClasses += " " +options.rowClass(item); if (grid.selection.selectedIndex == row.index) { row.customClasses += " dojoxGridRowSelected"; } grid.focus.styleRow(row); grid.edit.styleRow(row); } }, onCellMouseOver: function (e){ // var pos = dojo.position(this, true); // alert(pos); console.log( e.rowIndex +" cell node :"+ e.cellNode.innerHTML); // var pos = dojo.position(this, true); console.log( " pos :"+ e.pos); if (e.cellNode.innerHTML!="") { dijit.showTooltip(e.cellNode.innerHTML, e.cellNode); } }, onCellMouseOut: function (e){ dijit.hideTooltip(e.cellNode); }, onHeaderCellMouseOver: function (e){ if (e.cellNode.innerHTML!="") { dijit.showTooltip(e.cellNode.innerHTML, e.cellNode); } }, onHeaderCellMouseOut: function (e){ dijit.hideTooltip(e.cellNode); }, }); // ADDED CODE FOR TOOLTIP var gridTooltip = new Tooltip({ connectId: "grid1", selector: "td", position: ["above"], getContent: function(matchedNode){ var childNode = matchedNode.childNodes[0]; if(childNode.nodeType == 1 && childNode.className == "user") { this.position = ["after"]; this.open(childNode); return false; } if(matchedNode.className && matchedNode.className == "user") { this.position = ["after"]; } else { this.position = ["above"]; } return matchedNode.textContent; } }); ... //Construct the grid this.buildGrid = function(){ var datagrid = new com.emc.widget.EnhancedGrid(this,{ Url: "/dge/api/-resultFormat=json&id="+encodeURIComponent(idUrl), dataRoot: "Root.ATrail", height: '100%', columns: [ { name: 'Time', field: 'Time', width: '20%', datatype: 'date', sortable: true, searchable: true, hidden: false}, { name: 'Type', field: 'Type', width: '20%', datatype: 'string', sortable: true, searchable: true, hidden: false}, { name: 'User ID', field: 'UserID', width: '20%', datatype: 'string', sortable: true, searchable: true, hidden: false } ] }); this.grid = datagrid; };

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  • 2 columns 100% height. Can the problem ever be solved in html markup???!!

    - by denja
    I'm in despair trying to draw this simple thing. Two columns stretching 100% vertically. Is this ever possible? here there are two tries <html> <head> <title>Columns</title> </head> <body> <style type="text/css"> .wrapper {font-size:900px; width:1200px; margin:0 auto; } .col1 { width:600px; height:100%; float:left; background:#f00; } .col2 { width:600px; height:100%; float:left; background:#00f; } </style> <div class="wrapper"> <div class="col1"> C o l u m n 1 </div> <div class="col2"> C ol u m n 2 </div> </div> </body> </html> and <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en-GB"> <head> <title>2 Column CSS Demo - Equal Height Columns with Cross-Browser CSS</title> <style media="screen" type="text/css"> /* <!-- */ *{ margin:0; padding:0; } html { background-color: #ccc; height: 100%; } body { background-color: white; width: 600px; margin: 0 auto; height:100%; position: relative; border-left: 1px solid #888; border-right: 2px solid black; } #footer { clear:both; width:100%; height:0px;font-size:0px; } #container2 { clear:left; float:left; width:600px; overflow:hidden; background:#ffa7a7; } #container1 { float:left; width:600px; position:relative; right:200px; background:#fff689; } #col1 { float:left; width:400px; position:relative; left:200px; overflow:hidden; } #col2 { float:left; width:200px; position:relative; left:200px; overflow:hidden; } /* --> */ </style> </head> <body> <div id="container2"> <div id="container1"> <div id="col1"> aaaa a a a a a a a a a aa aa a a a a a a a a aa aa a a a a a a a a aa aa a a a a a a a aa a a a a aa aa a a a a a a a a aa aa a a a a a a a a aa aa a a a a aa a a a a aa aa a </div> <div id="col2"> fghdfghsfgddn fghdfghsfgddn fghdfghsfgddn fghdfghsfgddn fghdfghsfgddn fghdfghsfgddn fghdfghsfgddn v </div> </div> </div> <div id="footer"> &nbsp; </div> </body>

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  • Investigating on xVelocity (VertiPaq) column size

    - by Marco Russo (SQLBI)
      In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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  • Investigating on xVelocity (VertiPaq) column size

    - by Marco Russo (SQLBI)
      In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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  • How to loop through columns in an oracle pl/sql cursor.

    - by Lloyd
    I am creating a dynamic cursor and I would like to loop over the columns that exist in the cursor. How would I do that? For example: create or replace procedure dynamic_cursor(empid in varchar2, RC IN OUT sys_refcursor) as stmt varchar2(100); begin stmt := 'select * from employees where id = ' || empid; open crs for stmt using val; for each {{COLUMN OR SOMETHING}} --TODO: Get this to work loop; end;

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  • How to print a html-table with a lot of columns.

    - by bruno
    Hello all, I'm trying to print a table with a lot of columns, so that the width of the table doesn't fit a single page. I'm using jqprint to print that table. But it prints only the left part of the table, and the right part it won't print. Is there a way to print the table on multiple pages? Kind regards, Bruno

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  • MySQL, if a value is in one of two columns, return the value from the other one

    - by erikric
    Hi, This might be an easy one, but I'm not really experienced with sql. I have a table with two user_id columns, user1 and user2. This table contains some compared values between the two users. I want to send in an user id, and return all the id's from the other user when the sent user is either user1 or user2. I guess some sort of if test would do the trick, but I don't know how to do this in SQL. Cheers

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  • How do you search between two columns using a parameter and a case when statement? SQL Server

    - by Kip Birgen
    I would like to search between to columns in a s query or a table depending on the variable on a paramenter e.g Declare @SelectAll as interger Set @SelectAll = 1 Declare @Column as interger Select mt.Column1, mtColumn2 From MyTable as mt Where Case When @SelectAll = 1 Then mt.Column1 IN(@Column) and mt.Column2 (' Selecting all") When @SelectAll = 1 Then mt.Column2 IN(@Column) and mt.Column1 (' Selecting all") End The purpose of this query is to allow the user to search between the column they choose. Further more the use of parameter is for the purposes of writing reporting services reports.

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  • Does the order of columns matter in a group by clause?

    - by Jeff Meatball Yang
    If I have two columns, one with very high cardinality and one with very low cardinality (unique # of values), does it matter in which order I group by? Here's an example: select dimensionName, dimensionCategory, sum(someFact) from SomeFact f join SomeDim d on f.dimensionKey = d.dimensionKey group by d.dimensionName, -- large number of unique values d.dimensionCategory -- small number of unique values Are there situations where it matters?

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  • is there any way we can disable on mouse over event on certain columns of an data grid

    - by prince23
    hi, here wat i am trying to do is that on mouse over of first column i need to hit mouse MouseEnter event and show the pop up which i have kept there rest all other column i dnt need to to show the pop up so i am having this fuction there MouseLeave="Row_MouseLeave" <sdk:DataGrid MinHeight="100" x:Name="dgCounty" AutoGenerateColumns="False" VerticalAlignment="Top" Grid.Row="1" IsReadOnly="True" Margin="5,5,5,0" RowDetailsVisibilityChanged="dgCounty_RowDetailsVisibilityChanged" SelectionMode="Extended" RowDetailsVisibilityMode="VisibleWhenSelected" MouseEnter="dgCounty_MouseEnter" MouseLeave="dgCounty_MouseLeave" SelectionChanged="dgCounty_SelectionChanged" LoadingRow="dgCounty_LoadingRow1" UnloadingRow="dgCounty_UnloadingRow"> <sdk:DataGrid.Columns> <sdk:DataGridTemplateColumn> <sdk:DataGridTemplateColumn.CellTemplate> <DataTemplate> <Button x:Name="myButton" Width="24" Height="24" Click="Details_Click"> <Image x:Name="img" Source="Images/detail.JPG" Stretch="None"/> </Button> </DataTemplate> </sdk:DataGridTemplateColumn.CellTemplate> </sdk:DataGridTemplateColumn> <sdk:DataGridTemplateColumn Header="ID"> <sdk:DataGridTemplateColumn.CellTemplate> <DataTemplate > <sdk:Label Content="{Binding EmployeeID}" /> </DataTemplate> </sdk:DataGridTemplateColumn.CellTemplate> </sdk:DataGridTemplateColumn> <sdk:DataGridTemplateColumn Header="Name"> <sdk:DataGridTemplateColumn.CellTemplate> <DataTemplate > <sdk:Label Content="{Binding EmployeeFName}" MouseLeave="Row_MouseLeave" /> </DataTemplate> </sdk:DataGridTemplateColumn.CellTemplate> </sdk:DataGridTemplateColumn> <sdk:DataGridTemplateColumn Header="MailID"> <sdk:DataGridTemplateColumn.CellTemplate> <DataTemplate > <sdk:Label Content="{Binding EmployeeMailID}" MouseLeave="Row_MouseLeave" /> </DataTemplate> </sdk:DataGridTemplateColumn.CellTemplate> </sdk:DataGridTemplateColumn> </sdk:DataGrid.Columns> </sdk:DataGrid> in code behind void Row_MouseLeave(object sender, MouseEventArgs e) { Show.Visibility = Visibility.Collapsed; PoPGrid.Visibility = Visibility.Collapsed; } void Row_MouseEnter(object sender, MouseEventArgs e) { } the pop up her is like the ajax modal pop up wat we do in asp.net i am able to show data in pop up now the main issue is i need to show pop up only on the 2 column. rest all other column i need to hide the pop up when i move mouse over on that column. i am trying this concept it is not working is there any way i can achive it as i said only need to show pop up on mouse over of the 2 column thanks in advance prince

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  • How to change the number of columns in a table dynamically but still keep the table layout intact?

    - by gurupriyan.e
    I have a 'n' column table , the first column is a drop down box , on selecting the options from the drop down, the other columns change. For eg: first drop down might need to display a text box and a button , the second drop down 3 text boxes and a button and so on. There is only one row in the table. What is the best solution to achieve this. with Sincere thanks,

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  • How to list all duplicated rows which may include NULL columns?

    - by Yousui
    Hi guys, I have a problem of listing duplicated rows that include NULL columns. Lemme show my problem first. USE [tempdb]; GO IF OBJECT_ID(N'dbo.t') IS NOT NULL BEGIN DROP TABLE dbo.t END GO CREATE TABLE dbo.t ( a NVARCHAR(8), b NVARCHAR(8) ); GO INSERT t VALUES ('a', 'b'); INSERT t VALUES ('a', 'b'); INSERT t VALUES ('a', 'b'); INSERT t VALUES ('c', 'd'); INSERT t VALUES ('c', 'd'); INSERT t VALUES ('c', 'd'); INSERT t VALUES ('c', 'd'); INSERT t VALUES ('e', NULL); INSERT t VALUES (NULL, NULL); INSERT t VALUES (NULL, NULL); INSERT t VALUES (NULL, NULL); INSERT t VALUES (NULL, NULL); GO Now I want to show all rows that have other rows duplicated with them, I use the following query. SELECT a, b FROM dbo.t GROUP BY a, b HAVING count(*) > 1 which will give us the result: a b -------- -------- NULL NULL a b c d Now if I want to list all rows that make contribution to duplication, I use this query: WITH duplicate (a, b) AS ( SELECT a, b FROM dbo.t GROUP BY a, b HAVING count(*) > 1 ) SELECT dbo.t.a, dbo.t.b FROM dbo.t INNER JOIN duplicate ON (dbo.t.a = duplicate.a AND dbo.t.b = duplicate.b) Which will give me the result: a b -------- -------- a b a b a b c d c d c d c d As you can see, all rows include NULLs are filtered. The reason I thought is that I use equal sign to test the condition(dbo.t.a = duplicate.a AND dbo.t.b = duplicate.b), and NULLs cannot be compared use equal sign. So, in order to include rows that include NULLs in it in the last result, I have change the aforementioned query to WITH duplicate (a, b) AS ( SELECT a, b FROM dbo.t GROUP BY a, b HAVING count(*) > 1 ) SELECT dbo.t.a, dbo.t.b FROM dbo.t INNER JOIN duplicate ON (dbo.t.a = duplicate.a AND dbo.t.b = duplicate.b) OR (dbo.t.a IS NULL AND duplicate.a IS NULL AND dbo.t.b = duplicate.b) OR (dbo.t.b IS NULL AND duplicate.b IS NULL AND dbo.t.a = duplicate.a) OR (dbo.t.a IS NULL AND duplicate.a IS NULL AND dbo.t.b IS NULL AND duplicate.b IS NULL) And this query will give me the answer as I wanted: a b -------- -------- NULL NULL NULL NULL NULL NULL NULL NULL a b a b a b c d c d c d c d Now my question is, as you can see, this query just include two columns, in order to include NULLs in the last result, you have to use many condition testing statements in the query. As the column number increasing, the condition testing statements you need in your query is increasing astonishingly. How can I solve this problem? Great thanks.

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  • how to put array of user control in the columns of Grid.

    - by jolly
    Hi I have array of Employee data which includes photo,description, title name,salary. I have to show each employee data in separate panel control structure that means if I have 10 employees there will be 10 panels. and I have to show these panels in a grid which has two columns. Also width of the panel in each column will vary according to main page size.

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  • Name that blog entry - Modelling changes over time with two db columns only.

    - by disown
    I vaguely remember reading a blog entry (written by a well-known blogger I think) about how to model price changes over time, and that you could model most changes by saving two dates only (two columns in a db). The blog talked about prices on a website changing over time and how you could figure out the right price to charge knowing only when the purchase had been made. Very vague, I know, but my google-fu is failing me, everyone at IRC are busy talking about other stuff and I don't know what to do! :)

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  • [R] How to create a data.frame with a unknow number of columns ?

    - by Olivier
    Hello I would like to create, in a function, a boucle to create a data.frame with a variable number of columns. WIth something like : a = c("a","b") b = c(list(1,2,3), list(4,5,6)) data.frame(a,b) I would like to get a data-frame like : a 1 2 3 b 4 5 6 Instead of I obtain : a 1 2 3 4 5 6 b 1 2 3 4 5 6 Thank you ! PS : I also try with rbind, but it's doesn't work...

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  • How can I provide values for non-grouped columns in NHibernate?

    - by ddc0660
    I have a criteria query: Session.CreateCriteria<Sell043Report>() .SetProjection(.ProjectionList() .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.location)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.agent)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.cusip)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.SettlementDate)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.salePrice)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.foreignFx)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.batchNumber)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.origSaleDate)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.planName)) .Add(LambdaProjection.GroupProperty<Sell043Report>(r => r.dateTimeAdded)) .Add(LambdaProjection.Sum<Sell043Report>(r => r.shares)) .Add(LambdaProjection.Sum<Sell043Report>(r => r.netMoney)) .Add(LambdaProjection.Sum<Sell043Report>(r => r.grossMoney)) .Add(LambdaProjection.Sum<Sell043Report>(r => r.taxWithheld)) .Add(LambdaProjection.Sum<Sell043Report>(r => r.fees))) .List<Sell043Report>(); that generates the following SQL: SELECT this_.location as y0_, this_.agent as y1_, this_.cusip as y2_, this_.SettlementDate as y3_, this_.salePrice as y4_, this_.foreignFx as y5_, this_.batchNumber as y6_, this_.origSaleDate as y7_, this_.planName as y8_, this_.dateTimeAdded as y9_, sum(this_.shares) as y10_, sum(this_.netMoney) as y11_, sum(this_.grossMoney) as y12_, sum(this_.taxWithheld) as y13_, sum(this_.fees) as y14_ FROM MIS_IPS_Sell043Report this_ GROUP BY this_.location, this_.agent, this_.cusip, this_.SettlementDate, this_.salePrice, this_.foreignFx, this_.batchNumber, this_.origSaleDate, this_.planName, this_.dateTimeAdded however the Sell043Report table has additional columns than those listed in the SELECT statement so I'm receiving this error when attempting to get a list of Sell043Reports: System.ArgumentException: The value "System.Object[]" is not of type "xyz.Sell043Report" and cannot be used in this generic collection. I suspect the problem is that I'm not selecting all of the columns for a Sell043Report and so it doesn't know how to map the dataset to the object. I'm trying to achieve something like this: SELECT this_.location as y0_, this_.agent as y1_, this_.cusip as y2_, this_.SettlementDate as y3_, this_.salePrice as y4_, this_.foreignFx as y5_, this_.batchNumber as y6_, this_.origSaleDate as y7_, this_.planName as y8_, this_.dateTimeAdded as y9_, sum(this_.shares) as y10_, sum(this_.netMoney) as y11_, sum(this_.grossMoney) as y12_, sum(this_.taxWithheld) as y13_, sum(this_.fees) as y14_, '' as Address1, '' as Address2 // etc FROM MIS_IPS_Sell043Report this_ GROUP BY this_.location, this_.agent, this_.cusip, this_.SettlementDate, this_.salePrice, this_.foreignFx, this_.batchNumber, this_.origSaleDate, this_.planName, this_.dateTimeAdded How can I do this using NHibernate?

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  • How do I assign different weights to columns in SQL Server Full Text Search?

    - by gcaprio
    I'm using SQL Server 2008 FTS and I'd like to be able to integrate weighted rankings into my search results. However, I'd like to weight the columns that a search term is found in differently. For example, if I have a Title column and a Description column, I want matches fond in Title to rank higher than matches in Description. Is this possible in SQL Server 2008? As far as can I see, I can only add weights to specific terms, not column locations.

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