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  • Why do we need Audit Columns in Database Tables?

    - by Software Enthusiastic
    Hi I have seen many database designs having following audit columns on all the tables... Created By Create DateTime Updated By Upldated DateTime From one perspective I see tables from the following view... Entity Tables: Good candidate for Audit columns) Reference Tables: Audit columns may or may not required. In some case last update information is not at all required because record is never going to be modified.) Reference Data Tables Like Country Names, Entity State etc... Audit columns may not required because these information is created only during system installation time, and never going to be changed. I have seen many designers blindly put all audit columns to all tables, is this practice good, if yes what could be the reason... I just want to know because to me it seems illogical. It is difficult for me to figure out why do they design their db this way? I am not saying they are wrong or right, just want to know the WHY? You can also suggest me, if there is an alternative auditing patter or solution available... Thanks and Regards

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  • How do I classify using GLCM and SVM Classifier in Matlab?

    - by Gomathi
    I'm on a project of liver tumor segmentation and classification. I used Region Growing and FCM for liver and tumor segmentation respectively. Then, I used Gray Level Co-occurence matrix for texture feature extraction. I have to use Support Vector Machine for Classification. But I don't know how to normalize the feature vectors. Can anyone tell how to program it in Matlab? To the GLCM program, I gave the tumor segmented image as input. Was I correct? If so, I think, then, my output will also be correct. My glcm coding, as far as I have tried is, I = imread('fzliver3.jpg'); GLCM = graycomatrix(I,'Offset',[2 0;0 2]); stats = graycoprops(GLCM,'all') t1= struct2array(stats) I2 = imread('fzliver4.jpg'); GLCM2 = graycomatrix(I2,'Offset',[2 0;0 2]); stats2 = graycoprops(GLCM2,'all') t2= struct2array(stats2) I3 = imread('fzliver5.jpg'); GLCM3 = graycomatrix(I3,'Offset',[2 0;0 2]); stats3 = graycoprops(GLCM3,'all') t3= struct2array(stats3) t=[t1;t2;t3] xmin = min(t); xmax = max(t); scale = xmax-xmin; tf=(x-xmin)/scale Was this a correct implementation? Also, I get an error at the last line. My output is: stats = Contrast: [0.0510 0.0503] Correlation: [0.9513 0.9519] Energy: [0.8988 0.8988] Homogeneity: [0.9930 0.9935] t1 = Columns 1 through 6 0.0510 0.0503 0.9513 0.9519 0.8988 0.8988 Columns 7 through 8 0.9930 0.9935 stats2 = Contrast: [0.0345 0.0339] Correlation: [0.8223 0.8255] Energy: [0.9616 0.9617] Homogeneity: [0.9957 0.9957] t2 = Columns 1 through 6 0.0345 0.0339 0.8223 0.8255 0.9616 0.9617 Columns 7 through 8 0.9957 0.9957 stats3 = Contrast: [0.0230 0.0246] Correlation: [0.7450 0.7270] Energy: [0.9815 0.9813] Homogeneity: [0.9971 0.9970] t3 = Columns 1 through 6 0.0230 0.0246 0.7450 0.7270 0.9815 0.9813 Columns 7 through 8 0.9971 0.9970 t = Columns 1 through 6 0.0510 0.0503 0.9513 0.9519 0.8988 0.8988 0.0345 0.0339 0.8223 0.8255 0.9616 0.9617 0.0230 0.0246 0.7450 0.7270 0.9815 0.9813 Columns 7 through 8 0.9930 0.9935 0.9957 0.9957 0.9971 0.9970 ??? Error using ==> minus Matrix dimensions must agree. The images are:

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  • Ext.data.Store, Javascript Arrays and Ext.grid.ColumnModel

    - by Michael Wales
    I am using Ext.data.Store to call a PHP script which returns a JSON response with some metadata about fields that will be used in a query (unique name, table, field, and user-friendly title). I then loop through each of the Ext.data.Record objects, placing the data I need into an array (this_column), push that array onto the end of another array (columns), and eventually pass this to an Ext.grid.ColumnModel object. The problem I am having is - no matter which query I am testing against (I have a number of them, varying in size and complexity), the columns array always works as expected up to columns[15]. At columns[16], all indexes from that point and previous are filled with the value of columns[15]. This behavior continues until the loop reaches the end of the Ext.data.Store object, when the entire arrays consists of the same value. Here's some code: columns = []; this_column = []; var MetaData = Ext.data.Record.create([ {name: 'id'}, {name: 'table'}, {name: 'field'}, {name: 'title'} ]); // Query the server for metadata for the query we're about to run metaDataStore = new Ext.data.Store({ autoLoad: true, reader: new Ext.data.JsonReader({ totalProperty: 'results', root: 'fields', id: 'id' }, MetaData), proxy: new Ext.data.HttpProxy({ url: 'index.php/' + type + '/' + slug }), listeners: { 'load': function () { metaDataStore.each(function(r) { this_column['id'] = r.data['id']; this_column['header'] = r.data['title']; this_column['sortable'] = true; this_column['dataIndex'] = r.data['table'] + '.' + r.data['field']; // This display valid information, through the entire process console.info(this_column['id'] + ' : ' + this_column['header'] + ' : ' + this_column['sortable'] + ' : ' + this_column['dataIndex']); columns.push(this_column); }); // This goes nuts at columns[15] console.info(columns); gridColModel = new Ext.grid.ColumnModel({ columns: columns });

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  • Flex AdvancedDataGrid - ColumnOrder With Formatter and ItemRenderer Question For Experts

    - by robin1126
    I have a advanceddatagrid that has around 15 columns. Some are string, some are numbers. I have shown 4 columns below. The number columns have formatting done for zero precision and 2 digits precision. The itemRenderer is just to show Blue Color if the number is +ve and Red Color if the number is -ve. It looks something like below ... I am trying to save the users setting of column order when he closes the application and reload with the same order when the user opens the applications. I am using SharedObjects and below is the code. for(var i:int=0; i< adgrid.columns.length;i++){ var columnObject:Object = new Object(); columnObject.columnDataField = adgrid.columns[i].dataField as String; columnObject.columnHeader =adgrid.columns[i].headerText as String; columnObject.width = adgrid.columns[i].width; columnArray.push(columnObject); } and then I save the columnArray to SharedObject. I retrive them using the below code for(var i:int=0;i adgrid.columns[i].dataField =columnArray[i].columnDataField; adgrid.columns[i].headerText =columnArray[i].columnHeader; adgrid.columns[i].width = columnArray[i].width; } How can I save and reload the Formatter and ItemRenderer data . I am having trouble saving the formatter and itemrenderer and reloading it again. I would really appreciate if you can shown the code. How can I reshuffle the columns but can preserve all the properties of it to the sharedobject and recover it again.

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  • Why do Core Data sqlite table columns start with 'Z'?

    - by Dia
    I was looking at the sqlite table that Core Data generates and noticed that all table columns start with 'Z'. I realize this is an implementation detail, but I was curious as to why that's the case and if there was a design decision involved in this. Anyone happen to know or guess why? Here's a sample schema output of Core Data sqlite database: sqlite .schema CREATE TABLE ZPOST ( Z_PK INTEGER PRIMARY KEY, Z_ENT INTEGER, Z_OPT INTEGER, ZPOSTID INTEGER, ZUSER INTEGER, ZCREATEDAT TIMESTAMP, ZTEXT VARCHAR ); CREATE TABLE ZUSER ( Z_PK INTEGER PRIMARY KEY, Z_ENT INTEGER, Z_OPT INTEGER, ZUSERID INTEGER, ZAVATARIMAGEURLSTRING VARCHAR, ZUSERNAME VARCHAR ); CREATE TABLE Z_METADATA (Z_VERSION INTEGER PRIMARY KEY, Z_UUID VARCHAR(255), Z_PLIST BLOB); CREATE TABLE Z_PRIMARYKEY (Z_ENT INTEGER PRIMARY KEY, Z_NAME VARCHAR, Z_SUPER INTEGER, Z_MAX INTEGER);

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  • How can I turn off calculated columns in an Excel table from a macro using VBA? [migrated]

    - by user41293
    I am working on a macro that inserts formulas into a cell in an Excel table. The Excel table does the automatic filling of columns and fills all the cells in that column with the formula, but all I want is one cell to have the formula. I cannot just turn off automatic formula for tables as I need to have other people use this worksheet on their systems. Is there a way to turn off the automatic filling of formulas in a table using VBA in a macro? It just needs to be temporary: I just want to turn it off, put in my formulas, then turn it back on.

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  • datagrid binding

    - by abcdd007
    using System; using System.Data; using System.Configuration; using System.Collections; 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.Data.SqlClient; public partial class OrderMaster : System.Web.UI.Page { BLLOrderMaster objMaster = new BLLOrderMaster(); protected void Page_Load(object sender, EventArgs e) { if (!Page.IsPostBack) { SetInitialRow(); string OrderNumber = objMaster.SelectDetails().ToString(); if (OrderNumber != "") { txtOrderNo.Text = OrderNumber.ToString(); txtOrderDate.Focus(); } } } private void InsertEmptyRow() { DataTable dt = new DataTable(); DataRow dr = null; dt.Columns.Add(new DataColumn("ItemCode", typeof(string))); dt.Columns.Add(new DataColumn("Description", typeof(string))); dt.Columns.Add(new DataColumn("Unit", typeof(string))); dt.Columns.Add(new DataColumn("Qty", typeof(string))); dt.Columns.Add(new DataColumn("Rate", typeof(string))); dt.Columns.Add(new DataColumn("Disc", typeof(string))); dt.Columns.Add(new DataColumn("Amount", typeof(string))); for (int i = 0; i < 5; i++) { dr = dt.NewRow(); dr["ItemCode"] = string.Empty; dr["Description"] = string.Empty; dr["Unit"] = string.Empty; dr["Qty"] = string.Empty; dr["Rate"] = string.Empty; dr["Disc"] = string.Empty; dr["Amount"] = string.Empty; dt.Rows.Add(dr); } //GridView1.DataSource = dt; //GridView1.DataBind(); } private void SetInitialRow() { DataTable dt = new DataTable(); DataRow dr = null; dt.Columns.Add(new DataColumn("RowNumber", typeof(string))); dt.Columns.Add(new DataColumn("ItemCode", typeof(string))); dt.Columns.Add(new DataColumn("Description", typeof(string))); dt.Columns.Add(new DataColumn("Unit", typeof(string))); dt.Columns.Add(new DataColumn("Qty", typeof(string))); dt.Columns.Add(new DataColumn("Rate", typeof(string))); dt.Columns.Add(new DataColumn("Disc", typeof(string))); dt.Columns.Add(new DataColumn("Amount", typeof(string))); dr = dt.NewRow(); dr["RowNumber"] = 1; dr["ItemCode"] = string.Empty; dr["Description"] = string.Empty; dr["Unit"] = string.Empty; dr["Qty"] = string.Empty; dr["Rate"] = string.Empty; dr["Disc"] = string.Empty; dr["Amount"] = string.Empty; dt.Rows.Add(dr); //Store DataTable ViewState["OrderDetails"] = dt; Gridview1.DataSource = dt; Gridview1.DataBind(); } protected void AddNewRowToGrid() { int rowIndex = 0; if (ViewState["OrderDetails"] != null) { DataTable dtCurrentTable = (DataTable)ViewState["OrderDetails"]; DataRow drCurrentRow = null; if (dtCurrentTable.Rows.Count > 0) { for (int i = 1; i <= dtCurrentTable.Rows.Count; i++) { //extract the TextBox values TextBox box1 = (TextBox)Gridview1.Rows[rowIndex].Cells[1].FindControl("txtItemCode"); TextBox box2 = (TextBox)Gridview1.Rows[rowIndex].Cells[2].FindControl("txtdescription"); TextBox box3 = (TextBox)Gridview1.Rows[rowIndex].Cells[3].FindControl("txtunit"); TextBox box4 = (TextBox)Gridview1.Rows[rowIndex].Cells[4].FindControl("txtqty"); TextBox box5 = (TextBox)Gridview1.Rows[rowIndex].Cells[5].FindControl("txtRate"); TextBox box6 = (TextBox)Gridview1.Rows[rowIndex].Cells[6].FindControl("txtdisc"); TextBox box7 = (TextBox)Gridview1.Rows[rowIndex].Cells[7].FindControl("txtamount"); drCurrentRow = dtCurrentTable.NewRow(); drCurrentRow["RowNumber"] = i + 1; drCurrentRow["ItemCode"] = box1.Text; drCurrentRow["Description"] = box2.Text; drCurrentRow["Unit"] = box3.Text; drCurrentRow["Qty"] = box4.Text; drCurrentRow["Rate"] = box5.Text; drCurrentRow["Disc"] = box6.Text; drCurrentRow["Amount"] = box7.Text; rowIndex++; } //add new row to DataTable dtCurrentTable.Rows.Add(drCurrentRow); //Store the current data to ViewState ViewState["OrderDetails"] = dtCurrentTable; //Rebind the Grid with the current data Gridview1.DataSource = dtCurrentTable; Gridview1.DataBind(); } } else { // } //Set Previous Data on Postbacks SetPreviousData(); } private void SetPreviousData() { int rowIndex = 0; if (ViewState["OrderDetails"] != null) { DataTable dt = (DataTable)ViewState["OrderDetails"]; if (dt.Rows.Count > 0) { for (int i = 1; i < dt.Rows.Count; i++) { TextBox box1 = (TextBox)Gridview1.Rows[rowIndex].Cells[1].FindControl("txtItemCode"); TextBox box2 = (TextBox)Gridview1.Rows[rowIndex].Cells[2].FindControl("txtdescription"); TextBox box3 = (TextBox)Gridview1.Rows[rowIndex].Cells[3].FindControl("txtunit"); TextBox box4 = (TextBox)Gridview1.Rows[rowIndex].Cells[4].FindControl("txtqty"); TextBox box5 = (TextBox)Gridview1.Rows[rowIndex].Cells[5].FindControl("txtRate"); TextBox box6 = (TextBox)Gridview1.Rows[rowIndex].Cells[6].FindControl("txtdisc"); TextBox box7 = (TextBox)Gridview1.Rows[rowIndex].Cells[7].FindControl("txtamount"); box1.Text = dt.Rows[i]["ItemCode"].ToString(); box2.Text = dt.Rows[i]["Description"].ToString(); box3.Text = dt.Rows[i]["Unit"].ToString(); box4.Text = dt.Rows[i]["Qty"].ToString(); box5.Text = dt.Rows[i]["Rate"].ToString(); box6.Text = dt.Rows[i]["Disc"].ToString(); box7.Text = dt.Rows[i]["Amount"].ToString(); rowIndex++; } dt.AcceptChanges(); } ViewState["OrderDetails"] = dt; } } protected void BindOrderDetails() { DataTable dtOrderDetails = new DataTable(); if (ViewState["OrderDetails"] != null) { dtOrderDetails = (DataTable)ViewState["OrderDetails"]; } else { dtOrderDetails.Columns.Add(""); dtOrderDetails.Columns.Add(""); dtOrderDetails.Columns.Add(""); dtOrderDetails.Columns.Add(""); dtOrderDetails.Columns.Add(""); dtOrderDetails.Columns.Add(""); dtOrderDetails.AcceptChanges(); DataRow dr = dtOrderDetails.NewRow(); dtOrderDetails.Rows.Add(dr); ViewState["OrderDetails"] = dtOrderDetails; } if (dtOrderDetails != null) { Gridview1.DataSource = dtOrderDetails; Gridview1.DataBind(); if (Gridview1.Rows.Count > 0) { ((LinkButton)Gridview1.Rows[Gridview1.Rows.Count - 1].FindControl("btnDelete")).Visible = false; } } } protected void btnSave_Click(object sender, EventArgs e) { if (txtOrderDate.Text != "" && txtOrderNo.Text != "" && txtPartyName.Text != "" && txttotalAmount.Text !="") { BLLOrderMaster bllobj = new BLLOrderMaster(); DataTable dtdetails = new DataTable(); UpdateItemDetailRow(); dtdetails = (DataTable)ViewState["OrderDetails"]; SetValues(bllobj); int k = 0; k = bllobj.Insert_Update_Delete(1, bllobj, dtdetails); if (k > 0) { ScriptManager.RegisterStartupScript(this, this.GetType(), "Login Denied", "<Script>alert('Order Code Alraddy Exist');</Script>", false); } else { ScriptManager.RegisterStartupScript(this, this.GetType(), "Login Denied", "<Script>alert('Record Saved Successfully');</Script>", false); } dtdetails.Clear(); SetInitialRow(); txttotalAmount.Text = ""; txtOrderNo.Text = ""; txtPartyName.Text = ""; txtOrderDate.Text = ""; txttotalQty.Text = ""; string OrderNumber = objMaster.SelectDetails().ToString(); if (OrderNumber != "") { txtOrderNo.Text = OrderNumber.ToString(); txtOrderDate.Focus(); } } else { txtOrderNo.Text = ""; } } public void SetValues(BLLOrderMaster bllobj) { if (txtOrderNo.Text != null && txtOrderNo.Text.ToString() != "") { bllobj.OrNumber = Convert.ToInt16(txtOrderNo.Text); } if (txtOrderDate.Text != null && txtOrderDate.Text.ToString() != "") { bllobj.Date = DateTime.Parse(txtOrderDate.Text.ToString()).ToString("dd/MM/yyyy"); } if (txtPartyName.Text != null && txtPartyName.Text.ToString() != "") { bllobj.PartyName = txtPartyName.Text; } bllobj.TotalBillAmount = txttotalAmount.Text == "" ? 0 : int.Parse(txttotalAmount.Text); bllobj.TotalQty = txttotalQty.Text == "" ? 0 : int.Parse(txttotalQty.Text); } protected void txtdisc_TextChanged(object sender, EventArgs e) { double total = 0; double totalqty = 0; foreach (GridViewRow dgvr in Gridview1.Rows) { TextBox tb = (TextBox)dgvr.Cells[7].FindControl("txtamount"); double sum; if (double.TryParse(tb.Text.Trim(), out sum)) { total += sum; } TextBox tb1 = (TextBox)dgvr.Cells[4].FindControl("txtqty"); double qtysum; if (double.TryParse(tb1.Text.Trim(), out qtysum)) { totalqty += qtysum; } } txttotalAmount.Text = total.ToString(); txttotalQty.Text = totalqty.ToString(); AddNewRowToGrid(); Gridview1.TabIndex = 1; } public void UpdateItemDetailRow() { DataTable dt = new DataTable(); if (ViewState["OrderDetails"] != null) { dt = (DataTable)ViewState["OrderDetails"]; } if (dt.Rows.Count > 0) { for (int i = 0; i < Gridview1.Rows.Count; i++) { dt.Rows[i]["ItemCode"] = (Gridview1.Rows[i].FindControl("txtItemCode") as TextBox).Text.ToString(); if (dt.Rows[i]["ItemCode"].ToString() == "") { dt.Rows[i].Delete(); break; } else { dt.Rows[i]["Description"] = (Gridview1.Rows[i].FindControl("txtdescription") as TextBox).Text.ToString(); dt.Rows[i]["Unit"] = (Gridview1.Rows[i].FindControl("txtunit") as TextBox).Text.ToString(); dt.Rows[i]["Qty"] = (Gridview1.Rows[i].FindControl("txtqty") as TextBox).Text.ToString(); dt.Rows[i]["Rate"] = (Gridview1.Rows[i].FindControl("txtRate") as TextBox).Text.ToString(); dt.Rows[i]["Disc"] = (Gridview1.Rows[i].FindControl("txtdisc") as TextBox).Text.ToString(); dt.Rows[i]["Amount"] = (Gridview1.Rows[i].FindControl("txtamount") as TextBox).Text.ToString(); } } dt.AcceptChanges(); } ViewState["OrderDetails"] = dt; } }

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  • Run Reporting Service in local mode and generate columns automatically?

    - by grady
    Hi, I have a SQL query right now which I want to use with the MS reporting services in my ASP.NET application. So I created a report in local mode (rdlc) and attached this to a report viewer. Since my query uses parameters, I created a stored procedure, which had exactly those parameters. In addition to that I had some textboxes which are used for entering the params for the query and a button to call the stored proc and to fill the datatset which is bound to the report viewer. This works, I press the button and according to what I entred the correct data is shown. Now my question: In the future I plan to have multiple reports (which will be selected in a dropdown) and I wonder if I can somehow just call the correct stored procedure and according to the columns which are *SELECT*ed in the procedure, the columns are shown in the report. Example: I select report1 from the dropdown (procedure for report 1 is called), 5 columns are shown in the reportviewer. I select report2 from dropdown (procedure for report 2 is called), 8 columns are shown. Is that possible somehow? Thanks :-)

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  • Beware Sneaky Reads with Unique Indexes

    - by Paul White NZ
    A few days ago, Sandra Mueller (twitter | blog) asked a question using twitter’s #sqlhelp hash tag: “Might SQL Server retrieve (out-of-row) LOB data from a table, even if the column isn’t referenced in the query?” Leaving aside trivial cases (like selecting a computed column that does reference the LOB data), one might be tempted to say that no, SQL Server does not read data you haven’t asked for.  In general, that’s quite correct; however there are cases where SQL Server might sneakily retrieve a LOB column… Example Table Here’s a T-SQL script to create that table and populate it with 1,000 rows: CREATE TABLE dbo.LOBtest ( pk INTEGER IDENTITY NOT NULL, some_value INTEGER NULL, lob_data VARCHAR(MAX) NULL, another_column CHAR(5) NULL, CONSTRAINT [PK dbo.LOBtest pk] PRIMARY KEY CLUSTERED (pk ASC) ); GO DECLARE @Data VARCHAR(MAX); SET @Data = REPLICATE(CONVERT(VARCHAR(MAX), 'x'), 65540);   WITH Numbers (n) AS ( SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 0)) FROM master.sys.columns C1, master.sys.columns C2 ) INSERT LOBtest WITH (TABLOCKX) ( some_value, lob_data ) SELECT TOP (1000) N.n, @Data FROM Numbers N WHERE N.n <= 1000; Test 1: A Simple Update Let’s run a query to subtract one from every value in the some_value column: UPDATE dbo.LOBtest WITH (TABLOCKX) SET some_value = some_value - 1; As you might expect, modifying this integer column in 1,000 rows doesn’t take very long, or use many resources.  The STATITICS IO and TIME output shows a total of 9 logical reads, and 25ms elapsed time.  The query plan is also very simple: Looking at the Clustered Index Scan, we can see that SQL Server only retrieves the pk and some_value columns during the scan: The pk column is needed by the Clustered Index Update operator to uniquely identify the row that is being changed.  The some_value column is used by the Compute Scalar to calculate the new value.  (In case you are wondering what the Top operator is for, it is used to enforce SET ROWCOUNT). Test 2: Simple Update with an Index Now let’s create a nonclustered index keyed on the some_value column, with lob_data as an included column: CREATE NONCLUSTERED INDEX [IX dbo.LOBtest some_value (lob_data)] ON dbo.LOBtest (some_value) INCLUDE ( lob_data ) WITH ( FILLFACTOR = 100, MAXDOP = 1, SORT_IN_TEMPDB = ON ); This is not a useful index for our simple update query; imagine that someone else created it for a different purpose.  Let’s run our update query again: UPDATE dbo.LOBtest WITH (TABLOCKX) SET some_value = some_value - 1; We find that it now requires 4,014 logical reads and the elapsed query time has increased to around 100ms.  The extra logical reads (4 per row) are an expected consequence of maintaining the nonclustered index. The query plan is very similar to before (click to enlarge): The Clustered Index Update operator picks up the extra work of maintaining the nonclustered index. The new Compute Scalar operators detect whether the value in the some_value column has actually been changed by the update.  SQL Server may be able to skip maintaining the nonclustered index if the value hasn’t changed (see my previous post on non-updating updates for details).  Our simple query does change the value of some_data in every row, so this optimization doesn’t add any value in this specific case. The output list of columns from the Clustered Index Scan hasn’t changed from the one shown previously: SQL Server still just reads the pk and some_data columns.  Cool. Overall then, adding the nonclustered index hasn’t had any startling effects, and the LOB column data still isn’t being read from the table.  Let’s see what happens if we make the nonclustered index unique. Test 3: Simple Update with a Unique Index Here’s the script to create a new unique index, and drop the old one: CREATE UNIQUE NONCLUSTERED INDEX [UQ dbo.LOBtest some_value (lob_data)] ON dbo.LOBtest (some_value) INCLUDE ( lob_data ) WITH ( FILLFACTOR = 100, MAXDOP = 1, SORT_IN_TEMPDB = ON ); GO DROP INDEX [IX dbo.LOBtest some_value (lob_data)] ON dbo.LOBtest; Remember that SQL Server only enforces uniqueness on index keys (the some_data column).  The lob_data column is simply stored at the leaf-level of the non-clustered index.  With that in mind, we might expect this change to make very little difference.  Let’s see: UPDATE dbo.LOBtest WITH (TABLOCKX) SET some_value = some_value - 1; Whoa!  Now look at the elapsed time and logical reads: Scan count 1, logical reads 2016, physical reads 0, read-ahead reads 0, lob logical reads 36015, lob physical reads 0, lob read-ahead reads 15992.   CPU time = 172 ms, elapsed time = 16172 ms. Even with all the data and index pages in memory, the query took over 16 seconds to update just 1,000 rows, performing over 52,000 LOB logical reads (nearly 16,000 of those using read-ahead). Why on earth is SQL Server reading LOB data in a query that only updates a single integer column? The Query Plan The query plan for test 3 looks a bit more complex than before: In fact, the bottom level is exactly the same as we saw with the non-unique index.  The top level has heaps of new stuff though, which I’ll come to in a moment. You might be expecting to find that the Clustered Index Scan is now reading the lob_data column (for some reason).  After all, we need to explain where all the LOB logical reads are coming from.  Sadly, when we look at the properties of the Clustered Index Scan, we see exactly the same as before: SQL Server is still only reading the pk and some_value columns – so what’s doing the LOB reads? Updates that Sneakily Read Data We have to go as far as the Clustered Index Update operator before we see LOB data in the output list: [Expr1020] is a bit flag added by an earlier Compute Scalar.  It is set true if the some_value column has not been changed (part of the non-updating updates optimization I mentioned earlier). The Clustered Index Update operator adds two new columns: the lob_data column, and some_value_OLD.  The some_value_OLD column, as the name suggests, is the pre-update value of the some_value column.  At this point, the clustered index has already been updated with the new value, but we haven’t touched the nonclustered index yet. An interesting observation here is that the Clustered Index Update operator can read a column into the data flow as part of its update operation.  SQL Server could have read the LOB data as part of the initial Clustered Index Scan, but that would mean carrying the data through all the operations that occur prior to the Clustered Index Update.  The server knows it will have to go back to the clustered index row to update it, so it delays reading the LOB data until then.  Sneaky! Why the LOB Data Is Needed This is all very interesting (I hope), but why is SQL Server reading the LOB data?  For that matter, why does it need to pass the pre-update value of the some_value column out of the Clustered Index Update? The answer relates to the top row of the query plan for test 3.  I’ll reproduce it here for convenience: Notice that this is a wide (per-index) update plan.  SQL Server used a narrow (per-row) update plan in test 2, where the Clustered Index Update took care of maintaining the nonclustered index too.  I’ll talk more about this difference shortly. The Split/Sort/Collapse combination is an optimization, which aims to make per-index update plans more efficient.  It does this by breaking each update into a delete/insert pair, reordering the operations, removing any redundant operations, and finally applying the net effect of all the changes to the nonclustered index. Imagine we had a unique index which currently holds three rows with the values 1, 2, and 3.  If we run a query that adds 1 to each row value, we would end up with values 2, 3, and 4.  The net effect of all the changes is the same as if we simply deleted the value 1, and added a new value 4. By applying net changes, SQL Server can also avoid false unique-key violations.  If we tried to immediately update the value 1 to a 2, it would conflict with the existing value 2 (which would soon be updated to 3 of course) and the query would fail.  You might argue that SQL Server could avoid the uniqueness violation by starting with the highest value (3) and working down.  That’s fine, but it’s not possible to generalize this logic to work with every possible update query. SQL Server has to use a wide update plan if it sees any risk of false uniqueness violations.  It’s worth noting that the logic SQL Server uses to detect whether these violations are possible has definite limits.  As a result, you will often receive a wide update plan, even when you can see that no violations are possible. Another benefit of this optimization is that it includes a sort on the index key as part of its work.  Processing the index changes in index key order promotes sequential I/O against the nonclustered index. A side-effect of all this is that the net changes might include one or more inserts.  In order to insert a new row in the index, SQL Server obviously needs all the columns – the key column and the included LOB column.  This is the reason SQL Server reads the LOB data as part of the Clustered Index Update. In addition, the some_value_OLD column is required by the Split operator (it turns updates into delete/insert pairs).  In order to generate the correct index key delete operation, it needs the old key value. The irony is that in this case the Split/Sort/Collapse optimization is anything but.  Reading all that LOB data is extremely expensive, so it is sad that the current version of SQL Server has no way to avoid it. Finally, for completeness, I should mention that the Filter operator is there to filter out the non-updating updates. Beating the Set-Based Update with a Cursor One situation where SQL Server can see that false unique-key violations aren’t possible is where it can guarantee that only one row is being updated.  Armed with this knowledge, we can write a cursor (or the WHILE-loop equivalent) that updates one row at a time, and so avoids reading the LOB data: SET NOCOUNT ON; SET STATISTICS XML, IO, TIME OFF;   DECLARE @PK INTEGER, @StartTime DATETIME; SET @StartTime = GETUTCDATE();   DECLARE curUpdate CURSOR LOCAL FORWARD_ONLY KEYSET SCROLL_LOCKS FOR SELECT L.pk FROM LOBtest L ORDER BY L.pk ASC;   OPEN curUpdate;   WHILE (1 = 1) BEGIN FETCH NEXT FROM curUpdate INTO @PK;   IF @@FETCH_STATUS = -1 BREAK; IF @@FETCH_STATUS = -2 CONTINUE;   UPDATE dbo.LOBtest SET some_value = some_value - 1 WHERE CURRENT OF curUpdate; END;   CLOSE curUpdate; DEALLOCATE curUpdate;   SELECT DATEDIFF(MILLISECOND, @StartTime, GETUTCDATE()); That completes the update in 1280 milliseconds (remember test 3 took over 16 seconds!) I used the WHERE CURRENT OF syntax there and a KEYSET cursor, just for the fun of it.  One could just as well use a WHERE clause that specified the primary key value instead. Clustered Indexes A clustered index is the ultimate index with included columns: all non-key columns are included columns in a clustered index.  Let’s re-create the test table and data with an updatable primary key, and without any non-clustered indexes: IF OBJECT_ID(N'dbo.LOBtest', N'U') IS NOT NULL DROP TABLE dbo.LOBtest; GO CREATE TABLE dbo.LOBtest ( pk INTEGER NOT NULL, some_value INTEGER NULL, lob_data VARCHAR(MAX) NULL, another_column CHAR(5) NULL, CONSTRAINT [PK dbo.LOBtest pk] PRIMARY KEY CLUSTERED (pk ASC) ); GO DECLARE @Data VARCHAR(MAX); SET @Data = REPLICATE(CONVERT(VARCHAR(MAX), 'x'), 65540);   WITH Numbers (n) AS ( SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 0)) FROM master.sys.columns C1, master.sys.columns C2 ) INSERT LOBtest WITH (TABLOCKX) ( pk, some_value, lob_data ) SELECT TOP (1000) N.n, N.n, @Data FROM Numbers N WHERE N.n <= 1000; Now here’s a query to modify the cluster keys: UPDATE dbo.LOBtest SET pk = pk + 1; The query plan is: As you can see, the Split/Sort/Collapse optimization is present, and we also gain an Eager Table Spool, for Halloween protection.  In addition, SQL Server now has no choice but to read the LOB data in the Clustered Index Scan: The performance is not great, as you might expect (even though there is no non-clustered index to maintain): Table 'LOBtest'. Scan count 1, logical reads 2011, physical reads 0, read-ahead reads 0, lob logical reads 36015, lob physical reads 0, lob read-ahead reads 15992.   Table 'Worktable'. Scan count 1, logical reads 2040, physical reads 0, read-ahead reads 0, lob logical reads 34000, lob physical reads 0, lob read-ahead reads 8000.   SQL Server Execution Times: CPU time = 483 ms, elapsed time = 17884 ms. Notice how the LOB data is read twice: once from the Clustered Index Scan, and again from the work table in tempdb used by the Eager Spool. If you try the same test with a non-unique clustered index (rather than a primary key), you’ll get a much more efficient plan that just passes the cluster key (including uniqueifier) around (no LOB data or other non-key columns): A unique non-clustered index (on a heap) works well too: Both those queries complete in a few tens of milliseconds, with no LOB reads, and just a few thousand logical reads.  (In fact the heap is rather more efficient). There are lots more fun combinations to try that I don’t have space for here. Final Thoughts The behaviour shown in this post is not limited to LOB data by any means.  If the conditions are met, any unique index that has included columns can produce similar behaviour – something to bear in mind when adding large INCLUDE columns to achieve covering queries, perhaps. Paul White Email: [email protected] Twitter: @PaulWhiteNZ

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  • I want to move columns in a gradebook based on the column header title to another gradebook

    - by Pat
    I have to average grades based on each objective for a new report card we have to complete this year. For example Column one has students names, each additional column will have the objective associated with the assignment. I would like to move the entire column to another sheet for each objective. Is there a formula or macro that will do that. For example objective 3.1A is in columns 2, 5, and 7, objective 3.2B is located in columns 1, 4, 10, and 12, objective 3.4c is in column 3, 6, 9, and 11. I would like to have a spreadsheet for each objective.

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  • How can I do two columns in OpenOffice.org Writer?

    - by Sanoj
    I would like to structure my document with two columns in the middle of the page, and one column in the top and in the bottom. Like my example below. How can I do two columns like this in OpenOffice.org Writer? My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document My document

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  • Code refactoring with Visual Studio 2010-Part 3

    - by Jalpesh P. Vadgama
    I have been writing few post about Code refactoring features of visual studio 2010 and This blog post is also one of them. In this post I am going to show you reorder parameters features in visual studio 2010. As a developer you might need to reorder parameter of a method or procedure in code for better readability of the the code and if you do this task manually then it is tedious job to do. But Visual Studio Reorder Parameter code refactoring feature can do this stuff within a minute. So let’s see how its works. For this I have created a simple console application which I have used earlier posts . Following is a code for that. using System; namespace CodeRefractoring { class Program { static void Main(string[] args) { string firstName = "Jalpesh"; string lastName = "Vadgama"; PrintMyName(firstName, lastName); } private static void PrintMyName(string firstName, string lastName) { Console.WriteLine(string.Format("FirstName:{0}", firstName)); Console.WriteLine(string.Format("LastName:{0}", lastName)); Console.ReadLine(); } } } Above code is very simple. It just print a firstname and lastname via PrintMyName method. Now I want to reorder the firstname and lastname parameter of PrintMyName. So for that first I have to select method and then click Refactor Menu-> Reorder parameters like following. Once you click a dialog box appears like following where it will give options to move parameter with arrow navigation like following. Now I am moving lastname parameter as first parameter like following. Once you click OK it will show a preview option where I can see the effects of changes like following. Once I clicked Apply my code will be changed like following. using System; namespace CodeRefractoring { class Program { static void Main(string[] args) { string firstName = "Jalpesh"; string lastName = "Vadgama"; PrintMyName(lastName, firstName); } private static void PrintMyName(string lastName, string firstName) { Console.WriteLine(string.Format("FirstName:{0}", firstName)); Console.WriteLine(string.Format("LastName:{0}", lastName)); Console.ReadLine(); } } } As you can see its very easy to use this feature. Hoped you liked it.. Stay tuned for more.. Till that happy programming.

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  • Excel; exporting/importing different columns to different csv files

    - by Sisyphus
    Is there a way to batch export different columns to different csv files in excel on an OSX, I'm thinking something along the lines of possibly automator, applescript or bash. I've had a look play around with automator and so far no look. The best I have accomplished export the whole sheet, then use sed to strip out what I don't need, however this is terribly inefficient. Also, is there a method, to batch import multiple csv files into columns. Thanks in advance && sorry I didn't tag excel correctly it wouldn't allow me to create the excel:mac tag

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  • Copy/Pasting data from SQL Server to Excel splits up text into multiple columns?

    - by Paul
    I've got a problem pasting data from the result grid of SQL Server 2005 to an excel 2007 spreadsheet. I have a query in SQL Server that returns 2 columns (a number column and a text column) On one computer here i can happily copy (right-click copy) and then just right-click and paste into an excel spreadsheet. no problem. On another computer here when i try and paste into excel it splits the text column up and pastes the text into multiple columns based on spaces between words. For example if one of the rows has... Paste me please ...in it then when pasting into excel it splits the text and pastes each work into a seperate column within excel. We've tried comparing options in both SQL Server & excel with the computer it works fine on but can see no differences. Any ideas welcome Thanks

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  • How can I update multiple columns with a Replace in SQL server?

    - by Kettenbach
    How do I update different columns and rows across a table? I want to do something similiar to replace a string in SQL server I want to do this but the value exists in multiple columns of the same type. The values are foreign keys varchars to an employee table. Each column represents a task, so the same employee may be assigned to several tasks in a record and those tasks will vary between records. How can I do this effectively? Basically something of a replace all accross varying columns throughout a table. Thanks for any help or advice. Cheers, ~ck in San Diego

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  • Creating an Excel file using .NET (C#) - Problems with columns headers!

    - by tsocks
    Hello, I want to create & fill a .xls file using ADO.NET or LINQ, but I do not want to have the columns names in the first row. I just want to insert rows starting in row no. 1. I know I have to insert colums first, but... is there a way to 'hide' those columns headers? The problem is that, in first row of my spreadsheet, I must have only two values (one in A1 and the other in B1), but in the remaining rows I'll be inserting more than just two values (maximum 15 columns). I'm open to suggestions/hacks/tricks even if that's not the best way of doing this. Thanks!

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  • In mySQL, Is it possible to SELECT from two tables and merge the columns?

    - by Travis
    If I have two tables in mysql that have similar columns... TABLEA id name somefield1 TABLEB id name somefield1 somefield2 How do I structure a SELECT statement so that I can SELECT from both tables simultaneously, and have the result sets merged for the columns that are the same? So for example, I am hoping to do something like... SELECT name, somefield1 FROM TABLEA, TABLEB WHERE name="mooseburgers"; ...and have the name, and somefield1 columns from both tables merged together in the result set. Thank-you for your help!

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  • Index outof range? Automatica generate field .How to manipulate GridView2.Columns as BoundField;

    - by mike
    Index outof range?GridView2.Columns[6] as BoundField I use Automatica generate field . How to manipulate GridView2.Columns as BoundField with auto-generate feather? JobPostDataContext db = new JobPostDataContext(); var query = from j in db.JobLists join u in db.UserLists on j.UserID equals u.UserID where j.JobTitle.Contains(this.TextBox1.Text) select new { j.JobID, j.JobTitle, j.Summary, j.Details, j.CompanyName, j.CompanyEmail, j.DatePosted, j.UserID, u.City, u.State, u.Country }; GridView2.DataSource = query; GridView2.DataBind(); BoundField DatePosted = GridView2.Columns[6] as BoundField; DatePosted.DataFormatString = "{0:MMM,dd yy}";

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  • How do I reorder vector data using ARM Neon intrinsics?

    - by goldenmean
    This is specifically related to ARM Neon SIMD coding. I am using ARM Neon instrinsics for certain module in a video decoder. I have a vectorized data as follows: There are four 32 bit elements in a Neon register - say, Q0 - which is of size 128 bit. 3B 3A 1B 1A There are another four, 32 bit elements in other Neon register say Q1 which is of size 128 bit. 3D 3C 1D 1C I want the final data to be in order as shown below: 1D 1C 1B 1A 3D 3C 3D 3A What Neon instrinsics can achieve the desired data order?

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  • Simple way to reorder methods of a Java class in IntelliJ?

    - by Péter Török
    Is there a simpler way of reordering methods within a class source file in IntelliJ than cutting and pasting the code manually? Nowadays I often need this while refactoring legacy code, e.g. to move related methods close to each other in the source code. In Eclipse AFAIK there is a view similar to the Structure view of IntelliJ, where I can drag and drop methods around. However, this does not work in IntelliJ and I couldn't find any hints from its help either. I am using IntelliJ 9.0.2 to be specific.

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  • Do’s and Don’ts Building SharePoint Applications

    - by Bil Simser
    SharePoint is a great platform for building quick LOB applications. Simple things from employee time trackers to server and software inventory to full blown Help Desks can be crafted up using SharePoint from just customizing Lists. No programming necessary. However there are a few tricks I’ve painfully learned over the years that you can use for your own solutions. DO What’s In A Name? When you create a new list, column, or view you’ll commonly name it something like “Expense Reports”. However this has the ugly effect of creating a url to the list as “Expense%20Reports”. Or worse, an internal field name of “Expense_x0x0020_Reports” which is not only cryptic but hard to remember when you’re trying to find the column by internal name. While “Expense Reports 2011” is user friendly, “ExpenseReports2011” is not (unless you’re a programmer). So that’s not the solution. Well, not entirely. Instead when you create your column or list or view use the scrunched up name (I can’t think of the technical term for it right now) of “ExpenseReports2011”, “WomenAtTheOfficeThatAreMen” or “KoalaMeatIsGoodWhenBroiled”. After you’ve created it, go back and change the name to the more friendly “Silly Expense Reports That Nobody Reads”. The original internal name will be the url and code friendly one without spaces while the one used on data entry forms and view headers will be the human version. Smart Columns When building a view include columns that make sense. By default when you add a column the “Add to default view” is checked. Resist the urge to be lazy and leave it checked. Uncheck that puppy and decide consciously what columns should be included in the view. Pick columns that make sense to what the user is trying to do. This means you have to talk to the user. Yes, I know. That can be trying at times and even painful. Go ahead, talk to them. You might learn something. Find out what’s important to them and why. If they’re doing something repetitively as part of their job, try to make their life easier by including what’s most important to them. Do they really need to see the Created *and* Modified date of a document or do they just need the title and author? You’ll only find out after talking to them (or getting them drunk in a bar and leaving them in the back alley handcuffed to a garbage bin, don’t ask). Gotta Keep it Separated Hey, views are there for a reason. Use them. While “All Items” is a fine way to present a list of well, all items, it’s hardly sufficient to present a list of servers built before the Y2K bug hit. You’ll be scrolling the list for hours finally arriving at Page 387 of 12,591 and cursing that SharePoint guy for convincing you that putting your hardware into a list would be of any use to anyone. Next to collecting the data, presenting it is just as important. Views are often overlooked and many times ignored or misused. They’re the way you can slice and dice the data up so that you’re not trying to consume 3,000 years of human evolution on a single web page. Remember views can be filtered so feel free to create a view for each status or one for each operating system or one for each species of Information Worker you might be putting in that list or document library. Not only will it reduce the number of items someone sees at one time, it’ll also make the information that much more relevant. Also remember that each view is a separate page. Use it in navigation by creating a menu on the Quick Launch to each view. The discoverability of the Views menu isn’t overly obvious and if you violate the rule of columns (see Horizontally Scrolling below) the view menu doesn’t even show up until you shuffle the scroll bar to the left. Navigation links, big giant buttons, a screaming flashing “CLICK ME NOW” will help your users find their way. Sort It! Views are great so we’re building nice, rich views for the user. Awesomesauce. However sort is not very discoverable by the user. For example when you’re looking at a view how do you know if it’s ascending or descending and what is it sorted on. Maybe it’s sorted using two fields so what’s that all about? Help your users by letting them know the information they’re looking at is sorted. Maybe you name the view something appropriate like “Bogus Expense Claims Sorted By Deadbeats”. If you use the naming strategy just make sure you keep the name consistent with the description. In the previous example their better be a Deadbeat column so I can see the sort in action. Having a “Loser” column, while equally correct, is a little obtuse to the average Information Worker. Remember, they usually don’t use acronyms and even if they knew how to, it’s not immediately obvious to them that’s what you’re trying to convey. Another option is to simply drop a Content Editor Web Part above the list and explain exactly the view they’re looking at. Each view is it’s own page so one CEWP won’t be used across the board. Be descriptive in what the user is seeing but try to keep it brief. Dumping the first chapter of I, Claudius might be informative to the data but can gobble up screen real estate and miss the point of having the list. DO NOT Useless Attachments The attachments column is, in a word, useless. For the most part. Sure it indicates there’s an attachment on the list item but in the grand scheme of things that’s not overly informative. Maybe it is and by all means, if it makes sense to you include it. Colour it. Make it shine and stand like the Return of Clippy on every SharePoint list. Without it being functional it can be boring. EndUserSharePoint.com has an article to make the son of Clippy that much more useful so feel free to head over and check out this blog post by Paul Grenier on the task (Warning code ahead! Danger Will Robinson!) In any case, I would suggest you remove it from your views. Again if it’s important then include it but consider the jQuery solution above to make it functional. It’s added by default to views and one of things that people forget to clean up. Horizontal Scrolling Screen real estate is premium so building a list that contains 8,000 columns and stretches horizontally across 15 screens probably isn’t the most user friendly experience. Most users can’t figure out how to scroll vertically let alone horizontally so don’t make it even that more confusing for them. Take the Steve Krug approach in your view designs and try not to make the user think. Again views are your friend. Consider splitting up the data into views where one view contains 10 columns and other view contains the other 10. Okay, maybe your information doesn’t work that way but humans can only process 7 pieces of data at a time, 10 at most (then their heads explode and you don’t want to clean that mess up, especially on a Friday night before the big dance). It drives me batshit crazy when I see a view with 80 columns of data. I often ask the user “So what do you do with all this information”. The response is usually “With this data [the first 10 columns] I decide if I’m going to fire everyone, and with this data [the next 10 columns] I decide if I’m going to set the building on fire and collect the insurance”. It’s at that point I show them how to create two new views “People Who Are About To Get The Axe” and “Beach Time For The Executives”. Again, talk to your users and try to reason with them on cutting down the number of columns they see at once. Vertical Scrolling Another big faux pas I find is the use of multi-line comment fields in views. It’s not so bad when you have a statement like this in your view: “I really like, oh my god, thought I was going to scream when I saw this turtle then I decided what I was going to have for dinner and frankly I hate having to work late so when I was talking to the customer I thought, oh my god, what if the customer has turtles and then it appeared to me that I really was hungry so I'm going to have lunch now.” It’s fine if that’s the only column along with two or three others, but once you slap those 20 columns of data into the list, the comment field wraps and forms a new multi-page novel that takes up your entire screen. Do everyone a favour and just avoid adding the column to views. Train the user to just click through to the item if they need to see the contents. Duplicate Information Duplication is never good. Views and great as you can group data together. For example create a view of project status reports grouped by author. Then you can see what project manager is being a dip and not submitting their report. However if you group by author do you really need the Created By field as well in the view? Or if the view is grouped by Project then Author do you need both. Horizontal real estate is always at a premium so try not to clutter up the view with duplicate data like this. Oh  yeah, if you’re scratching your head saying “But Bil, if I don’t include the Project name in the view and I have a lot of items then how do I know which one I’m looking at”. That’s a hint that your grouping is too vague or you have too much data in the view based on that criteria. Filter it down a notch, create some views, and try to keep the group down to a single screen where you can see the group header at the top of the page. Again it’s just managing the information you have. Redundant, See Redundant This partially relates to duplicate information and smart columns but basically remember to not include the obvious in a view. Remember, don’t make me think. If you’ve gone to the trouble (and it was a lot of trouble wasn’t it?) to create separate views of your data by creating a “September Zombie Brain Sales”, “October Zombie Brain Sales”, etc. then please for the love of all that is holy do not include the Month and Product columns in your view. Similarly if you create a “My” view of anything (“My Favourite Brands of Spandex”, “My Co-Workers I Find The Urge To Disinfect”) then again, do not include the owner or author field (or whatever field you use to identify “My”). That’s just silly. Hope that helps! Happy customizing!

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