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  • T-SQL Improvements And Data Types in ms sql 2008

    - by Aamir Hasan
     Microsoft SQL Server 2008 is a new version released in the first half of 2008 introducing new properties and capabilities to SQL Server product family. All these new and enhanced capabilities can be defined as the classic words like secure, reliable, scalable and manageable. SQL Server 2008 is secure. It is reliable. SQL2008 is scalable and is more manageable when compared to previous releases. Now we will have a look at the features that are making MS SQL Server 2008 more secure, more reliable, more scalable, etc. in details.Microsoft SQL Server 2008 provides T-SQL enhancements that improve performance and reliability. Itzik discusses composable DML, the ability to declare and initialize variables in the same statement, compound assignment operators, and more reliable object dependency information. Table-Valued ParametersInserts into structures with 1-N cardinality problematicOne order -> N order line items"N" is variable and can be largeDon't want to force a new order for every 20 line itemsOne database round-trip / line item slows things downNo ARRAY data type in SQL ServerXML composition/decomposition used as an alternativeTable-valued parameters solve this problemTable-Valued ParametersSQL Server has table variablesDECLARE @t TABLE (id int);SQL Server 2008 adds strongly typed table variablesCREATE TYPE mytab AS TABLE (id int);DECLARE @t mytab;Parameters must use strongly typed table variables Table Variables are Input OnlyDeclare and initialize TABLE variable  DECLARE @t mytab;  INSERT @t VALUES (1), (2), (3);  EXEC myproc @t;Procedure must declare variable READONLY  CREATE PROCEDURE usetable (    @t mytab READONLY ...)  AS    INSERT INTO lineitems SELECT * FROM @t;    UPDATE @t SET... -- no!T-SQL Syntax EnhancementsSingle statement declare and initialize  DECLARE @iint = 4;Compound Assignment Operators  SET @i += 1;Row constructors  DECLARE @t TABLE (id int, name varchar(20));  INSERT INTO @t VALUES    (1, 'Fred'), (2, 'Jim'), (3, 'Sue');Grouping SetsGrouping Sets allow multiple GROUP BY clauses in a single SQL statementMultiple, arbitrary, sets of subtotalsSingle read pass for performanceNested subtotals provide ever better performanceGrouping Sets are an ANSI-standardCOMPUTE BY is deprecatedGROUPING SETS, ROLLUP, CUBESQL Server 2008 - ANSI-syntax ROLLUP and CUBEPre-2008 non-ANSI syntax is deprecatedWITH ROLLUP produces n+1 different groupings of datawhere n is the number of columns in GROUP BYWITH CUBE produces 2^n different groupingswhere n is the number of columns in GROUP BYGROUPING SETS provide a "halfway measure"Just the number of different groupings you needGrouping Sets are visible in query planGROUPING_ID and GROUPINGGrouping Sets can produce non-homogeneous setsGrouping set includes NULL values for group membersNeed to distinguish by grouping and NULL valuesGROUPING (column expression) returns 0 or 1Is this a group based on column expr. or NULL value?GROUPING_ID (a,b,c) is a bitmaskGROUPING_ID bits are set based on column expressions a, b, and cMERGE StatementMultiple set operations in a single SQL statementUses multiple sets as inputMERGE target USING source ON ...Operations can be INSERT, UPDATE, DELETEOperations based onWHEN MATCHEDWHEN NOT MATCHED [BY TARGET] WHEN NOT MATCHED [BY SOURCE]More on MERGEMERGE statement can reference a $action columnUsed when MERGE used with OUTPUT clauseMultiple WHEN clauses possible For MATCHED and NOT MATCHED BY SOURCEOnly one WHEN clause for NOT MATCHED BY TARGETMERGE can be used with any table sourceA MERGE statement causes triggers to be fired onceRows affected includes total rows affected by all clausesMERGE PerformanceMERGE statement is transactionalNo explicit transaction requiredOne Pass Through TablesAt most a full outer joinMatching rows = when matchedLeft-outer join rows = when not matched by targetRight-outer join rows = when not matched by sourceMERGE and DeterminismUPDATE using a JOIN is non-deterministicIf more than one row in source matches ON clause, either/any row can be used for the UPDATEMERGE is deterministicIf more than one row in source matches ON clause, its an errorKeeping Track of DependenciesNew dependency views replace sp_dependsViews are kept in sync as changes occursys.dm_sql_referenced_entitiesLists all named entities that an object referencesExample: which objects does this stored procedure use?sys.dm_sql_referencing_entities 

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  • Delphi - TPerlRegEx / RegExBuddy Problem

    - by Brad
    I've got a problem with RegEx and Delphi 2k9 (Win32). I get the following Error: First chance exception at $7C812AFB. Exception class Exception with message 'TPerlRegEx.Compile() - Please specify a regular expression in RegEx first'. I've got the latest version of TPerlRegEx from the website. Using its defualt settings (Using DLL) I'm including demo source code. It's using the code generated by RegExBuddy, latest version. http://www.4shared.com/file/236428923/97478b61/googleresultstestdata.html http://www.4shared.com/file/236439483/e0acbe6d/Unit2.html Delphi FORM http://www.4shared.com/file/236439473/6734a2a2/Unit2.html Delphi PAS Thanks for any help -Brad Data is from Google External Keyword Tool RegEx could use some refinement... but works in RegExBuddy not in Delphi unit Unit2; interface uses Windows, Messages, SysUtils, Variants, Classes, Graphics, Controls, Forms, Dialogs, StdCtrls, PerlRegEx; type TForm2 = class(TForm) Memo1: TMemo; Memo2: TMemo; Button1: TButton; procedure Button1Click(Sender: TObject); private { Private declarations } public { Public declarations } end; var Form2: TForm2; implementation {$R *.dfm} procedure TForm2.Button1Click(Sender: TObject); var Regex: TPerlRegEx; GroupIndex: Integer; begin Regex := TPerlRegEx.Create(nil); Regex.RegEx := 'criteria.push(new kpCriterion('(?P(.?))', (?P(.?)),'#13#10'''(?P(.?))'', ''(?P(.?))'', (?P(.?)), (?P(.?)), (.+)'#13#10','#13#10''\$(?P(.?))', (?P(.?)),'#13#10''(?P(.?))', (?P(.*+))'; Regex.Options := [preMultiLine]; Regex.Subject := memo1.text; if Regex.Match then begin memo2.Lines.Add('Matches Found'); repeat for GroupIndex := 0 to Regex.SubExpressionCount do begin memo2.lines.add( Regex.SubExpressions[GroupIndex]); //Add Results to memo // backreference text: Regex.SubExpressions[GroupIndex]; // backreference start: Regex.SubExpressionOffsets[GroupIndex]; // backreference length: Regex.SubExpressionLengths[GroupIndex]; end; until not Regex.MatchAgain; end else memo2.Lines.Add('No-Matches Found'); end; end. DFM object Form2: TForm2 Left = 0 Top = 0 Caption = 'Form2' ClientHeight = 247 ClientWidth = 480 Color = clBtnFace Font.Charset = DEFAULT_CHARSET Font.Color = clWindowText Font.Height = -11 Font.Name = 'Tahoma' Font.Style = [] OldCreateOrder = False PixelsPerInch = 96 TextHeight = 13 object Memo1: TMemo Left = 8 Top = 8 Width = 185 Height = 89 Lines.Strings = ( 'var showImpressions = false; var ' 'criteriaSuggestor = ' ''sensei_keyword'; var ' 'historicalTimePeriod = 'Mar ' '2009 - Feb 2010'; var ' 'historicalStartMonth = 2; var ' 'impressionTimePeriod = ' ''February'; var ' 'criteriaGroupsArray = new Array(); ' 'var captchaError = false; var ' 'quotaExceeded = false;' 'var criteria = new Array();' 'var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.52' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.67' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.82' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.73' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.5' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.45' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.45' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.43' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.4' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.47' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.45' '));' 'criteria.push(new ' 'kpCriterion('thunderstorm' '9;, 1.9117305278778076,' #39'201,000'#39', '#39'550,000'#39', 201000, ' '550000, 0.8666667' ',' ''$0.49', 493102,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '5' ',' '''' ',' 'kpView.MATCH_BROAD' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.57' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.57' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.45' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.42' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.47' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.46' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.43' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.36' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.45' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.43' '));' 'criteria.push(new ' 'kpCriterion('[thunderstorm]&' '#39;, 1.9117305278778076,' #39'33,100'#39', '#39'90,500'#39', 33100, 90500, ' '0.8666667' ',' ''$0.49', 493102,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '3' ',' '''' ',' 'kpView.MATCH_EXACT' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.52' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.67' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.82' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.73' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.5' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.45' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.45' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.43' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.4' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.47' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.45' '));' 'criteria.push(new ' 'kpCriterion('\42thunderstorm\' '042', 1.9117305278778076,' #39'201,000'#39', '#39'450,000'#39', 201000, ' '450000, 0.8666667' ',' ''$0.49', 493102,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '5' ',' '''' ',' 'kpView.MATCH_PHRASE' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.75' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.81' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.87' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.64' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.56' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.52' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.6' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.53' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.47' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.58' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.61' '));' 'criteria.push(new ' 'kpCriterion('thunderstorms&#' '39;, 1.8268921375274658,' #39'110,000'#39', '#39'201,000'#39', 110000, ' '201000, 0.8' ',' ''$0.56', 559074,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '4' ',' '''' ',' 'kpView.MATCH_BROAD' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.83' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.82' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.67' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.42' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.41' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.47' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.56' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.47' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.39' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.5' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.51' '));' 'criteria.push(new ' 'kpCriterion('[thunderstorms]&' '#39;, 1.8268921375274658,' #39'22,200'#39', '#39'40,500'#39', 22200, 40500, ' '0.8' ',' ''$0.56', 559074,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '4' ',' '''' ',' 'kpView.MATCH_EXACT' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.75' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.81' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.87' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.64' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.56' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.52' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.6' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.53' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.47' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.58' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.61' '));' 'criteria.push(new ' 'kpCriterion('\42thunderstorms' '\042', 1.8268921375274658,' #39'110,000'#39', '#39'165,000'#39', 110000, ' '165000, 0.8' ',' ''$0.56', 559074,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '4' ',' '''' ',' 'kpView.MATCH_PHRASE' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.71' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.73' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.82' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.87' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.92' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.82' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.75' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.77' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.79' '));' 'criteria.push(new ' 'kpCriterion('lightning ' 'storm', 1.774579644203186,' #39'49,500'#39', '#39'90,500'#39', 49500, 90500, ' '0.73333335' ',' ''$0.54', 535666,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '5' ',' '''' ',' 'kpView.MATCH_BROAD' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.76' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.87' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.97' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.87' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.98' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.87' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.84' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.86' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.81' '));' 'criteria.push(new ' 'kpCriterion('[lightning ' 'storm]', 1.774579644203186,' #39'12,100'#39', '#39'22,200'#39', 12100, 22200, ' '0.73333335' ',' ''$0.54', 535666,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '5' ',' '''' ',' 'kpView.MATCH_EXACT' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.72' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.81' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.85' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.92' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.81' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.67' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.71' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.65' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.76' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.73' '));' 'criteria.push(new ' 'kpCriterion('\42lightning ' 'storm\042', ' '1.774579644203186,' #39'33,100'#39', '#39'60,500'#39', 33100, 60500, ' '0.73333335' ',' ''$0.54', 535666,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '5' ',' '''' ',' 'kpView.MATCH_PHRASE' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.69' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.69' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.71' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.66' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.75' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.79' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.74' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.72' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' '));' 'criteria.push(new ' 'kpCriterion('rain storm', ' '1.7464053630828857,' #39'27,100'#39', '#39'49,500'#39', 27100, 49500, ' '0.6666667' ',' ''$0.53', 526334,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '0' ',' '''' ',' 'kpView.MATCH_BROAD' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.87' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.79' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.57' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.55' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.57' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.74' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.76' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.69' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.61' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.89' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.73' '));' 'criteria.push(new ' 'kpCriterion('[rain ' 'storm]', ' '1.7464053630828857,' #39'5,400'#39', '#39'8,100'#39', 5400, 8100, ' '0.6666667' ',' ''$0.53', 526334,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '2' ',' '''' ',' 'kpView.MATCH_EXACT' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.73' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.61' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.69' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.73' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.72' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.62' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.59' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.66' '));' 'criteria.push(new ' 'kpCriterion('\42rain ' 'storm\042', ' '1.7464053630828857,' #39'14,800'#39', '#39'27,100'#39', 14800, 27100, ' '0.6666667' ',' ''$0.53', 526334,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '0' ',' '''' ',' 'kpView.MATCH_PHRASE' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.82' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.87' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.78' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.82' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.84' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.79' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.77' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.61' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.92' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.82' '));' 'criteria.push(new ' 'kpCriterion('lightning ' 'storms', ' '1.6842896938323975,' #39'14,800'#39', '#39'27,100'#39', 14800, 27100, ' '0.73333335' ',' ''$0.42', 417108,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '4' ',' '''' ',' 'kpView.MATCH_BROAD' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.9' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.9' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.84' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.81' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.88' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.77' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.76' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.57' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.75' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.63' '));' 'criteria.push(new ' 'kpCriterion('[lightning ' 'storms]', ' '1.6842896938323975,' #39'3,600'#39', '#39'8,100'#39', 3600, 8100, ' '0.73333335' ',' ''$0.42', 417108,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '4' ',' '''' ',' 'kpView.MATCH_EXACT' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.8' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.86' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.99' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.77' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.83' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.85' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.78' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.77' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.6' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.91' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.81' '));' 'criteria.push(new ' 'kpCriterion('\42lightning ' 'storms\042', ' '1.6842896938323975,' #39'12,100'#39', '#39'22,200'#39', 12100, 22200, ' '0.73333335' ',' ''$0.42', 417108,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '4' ',' '''' ',' 'kpView.MATCH_PHRASE' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.66' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.54' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.52' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.5' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.6' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.5' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.66' '));' 'criteria.push(new ' 'kpCriterion('rain ' 'storms', ' '1.421982765197754,' #39'6,600'#39', '#39'9,900'#39', 6600, 9900, 0.6' ',' ''$0.32', 324834,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '0' ',' '''' ',' 'kpView.MATCH_BROAD' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '1.0' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.97' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.91' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.57' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.52' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.51' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.69' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.64' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.6' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.51' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.77' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.6' '));' 'criteria.push(new ' 'kpCriterion('[rain ' 'storms]', ' '1.421982765197754,' #39'1,300'#39', '#39'1,900'#39', 1300, 1900, 0.6' ',' ''$0.32', 324834,' ''1 - 3', 2' ',' '0' ',' '0' ',' 'monthlyVariation,' '2' ',' '''' ',' 'kpView.MATCH_EXACT' ',' '0' ')); var monthlyVariation = new ' 'Array();' 'monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.68' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.7' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.53' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.53' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.49' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.71' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.67' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.57' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity(' '0.48' ')); monthlyVariation.push(new ' 'kpMonthlyPopularity('

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  • Dynamic SQL to generate column names?

    - by Ben McCormack
    I have a query where I'm trying pivot row values into column names and currently I'm using SUM(Case...) As 'ColumnName' statements, like so: SELECT SKU1, SUM(Case When Sku2=157 Then Quantity Else 0 End) As '157', SUM(Case When Sku2=158 Then Quantity Else 0 End) As '158', SUM(Case When Sku2=167 Then Quantity Else 0 End) As '167' FROM OrderDetailDeliveryReview Group By OrderShipToID, DeliveryDate, SKU1 The above query works great and gives me exactly what I need. However, I'm writing out the SUM(Case... statements by hand based on the results of the following query: Select Distinct Sku2 From OrderDetailDeliveryReview Is there a way, using T-SQL inside a stored procedure, that I can dynamically generate the SUM(Case... statements from the Select Distinct Sku2 From OrderDetailDeliveryReview query and then execute the resulting SQL code?

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  • Get data types from arbitrary sql statement in SQL Server 2008

    - by Christopherous 5000
    Given some arbitrary SQL I would like to get the data types of the returned columns. The statement might join many tables, views, TVFs, etc. I know I could create a view based on the query and get the datatypes from that, hoping there's a quicker way. Only think I've been able to think of is writing a .net utility to run the SQL and examine the results, wondering if there is a TSQL answer. i.e. Given (not real tables just an example) SELECT p.Name AS PersonName, p.Age, a.Account as AccountName FROM Person as p LEFT JOIN Account as a ON p.Id = a.OwnerId I would like to have something like PersonName: (nvarchar(255), not null) Age: (smallInt, not null) etc...

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  • Auto Increment feature of SQL Server

    - by Rahul Tripathi
    I have created a table named as ABC. It has three columns which are as follows:- The column number_pk (int) is the primary key of my table in which I have made the auto increment feature on for that column. Now I have deleted two rows from that table say Number_pk= 5 and Number_pk =6. The table which I get now is like this:- Now if I again enter two new rows in this table with the same value I get the two new Number_pk starting from 7 and 8 i.e, My question is that what is the logic behind this since I have deleted the two rows from the table. I know that a simple answer is because I have set the auto increment on for the primary key of my table. But I want to know is there any way that I can insert the two new entries starting from the last Number_pk without changing the design of my table? And how the SQL Server manage this record since I have deleted the rows from the database??

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  • Analytic functions – they’re not aggregates

    - by Rob Farley
    SQL 2012 brings us a bunch of new analytic functions, together with enhancements to the OVER clause. People who have known me over the years will remember that I’m a big fan of the OVER clause and the types of things that it brings us when applied to aggregate functions, as well as the ranking functions that it enables. The OVER clause was introduced in SQL Server 2005, and remained frustratingly unchanged until SQL Server 2012. This post is going to look at a particular aspect of the analytic functions though (not the enhancements to the OVER clause). When I give presentations about the analytic functions around Australia as part of the tour of SQL Saturdays (starting in Brisbane this Thursday), and in Chicago next month, I’ll make sure it’s sufficiently well described. But for this post – I’m going to skip that and assume you get it. The analytic functions introduced in SQL 2012 seem to come in pairs – FIRST_VALUE and LAST_VALUE, LAG and LEAD, CUME_DIST and PERCENT_RANK, PERCENTILE_CONT and PERCENTILE_DISC. Perhaps frustratingly, they take slightly different forms as well. The ones I want to look at now are FIRST_VALUE and LAST_VALUE, and PERCENTILE_CONT and PERCENTILE_DISC. The reason I’m pulling this ones out is that they always produce the same result within their partitions (if you’re applying them to the whole partition). Consider the following query: SELECT     YEAR(OrderDate),     FIRST_VALUE(TotalDue)         OVER (PARTITION BY YEAR(OrderDate)               ORDER BY OrderDate, SalesOrderID               RANGE BETWEEN UNBOUNDED PRECEDING                         AND UNBOUNDED FOLLOWING),     LAST_VALUE(TotalDue)         OVER (PARTITION BY YEAR(OrderDate)               ORDER BY OrderDate, SalesOrderID               RANGE BETWEEN UNBOUNDED PRECEDING                         AND UNBOUNDED FOLLOWING),     PERCENTILE_CONT(0.95)         WITHIN GROUP (ORDER BY TotalDue)         OVER (PARTITION BY YEAR(OrderDate)),     PERCENTILE_DISC(0.95)         WITHIN GROUP (ORDER BY TotalDue)         OVER (PARTITION BY YEAR(OrderDate)) FROM Sales.SalesOrderHeader ; This is designed to get the TotalDue for the first order of the year, the last order of the year, and also the 95% percentile, using both the continuous and discrete methods (‘discrete’ means it picks the closest one from the values available – ‘continuous’ means it will happily use something between, similar to what you would do for a traditional median of four values). I’m sure you can imagine the results – a different value for each field, but within each year, all the rows the same. Notice that I’m not grouping by the year. Nor am I filtering. This query gives us a result for every row in the SalesOrderHeader table – 31465 in this case (using the original AdventureWorks that dates back to the SQL 2005 days). The RANGE BETWEEN bit in FIRST_VALUE and LAST_VALUE is needed to make sure that we’re considering all the rows available. If we don’t specify that, it assumes we only mean “RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW”, which means that LAST_VALUE ends up being the row we’re looking at. At this point you might think about other environments such as Access or Reporting Services, and remember aggregate functions like FIRST. We really should be able to do something like: SELECT     YEAR(OrderDate),     FIRST_VALUE(TotalDue)         OVER (PARTITION BY YEAR(OrderDate)               ORDER BY OrderDate, SalesOrderID               RANGE BETWEEN UNBOUNDED PRECEDING                         AND UNBOUNDED FOLLOWING) FROM Sales.SalesOrderHeader GROUP BY YEAR(OrderDate) ; But you can’t. You get that age-old error: Msg 8120, Level 16, State 1, Line 5 Column 'Sales.SalesOrderHeader.OrderDate' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause. Msg 8120, Level 16, State 1, Line 5 Column 'Sales.SalesOrderHeader.SalesOrderID' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause. Hmm. You see, FIRST_VALUE isn’t an aggregate function. None of these analytic functions are. There are too many things involved for SQL to realise that the values produced might be identical within the group. Furthermore, you can’t even surround it in a MAX. Then you get a different error, telling you that you can’t use windowed functions in the context of an aggregate. And so we end up grouping by doing a DISTINCT. SELECT DISTINCT     YEAR(OrderDate),         FIRST_VALUE(TotalDue)              OVER (PARTITION BY YEAR(OrderDate)                   ORDER BY OrderDate, SalesOrderID                   RANGE BETWEEN UNBOUNDED PRECEDING                             AND UNBOUNDED FOLLOWING),         LAST_VALUE(TotalDue)             OVER (PARTITION BY YEAR(OrderDate)                   ORDER BY OrderDate, SalesOrderID                   RANGE BETWEEN UNBOUNDED PRECEDING                             AND UNBOUNDED FOLLOWING),     PERCENTILE_CONT(0.95)          WITHIN GROUP (ORDER BY TotalDue)         OVER (PARTITION BY YEAR(OrderDate)),     PERCENTILE_DISC(0.95)         WITHIN GROUP (ORDER BY TotalDue)         OVER (PARTITION BY YEAR(OrderDate)) FROM Sales.SalesOrderHeader ; I’m sorry. It’s just the way it goes. Hopefully it’ll change the future, but for now, it’s what you’ll have to do. If we look in the execution plan, we see that it’s incredibly ugly, and actually works out the results of these analytic functions for all 31465 rows, finally performing the distinct operation to convert it into the four rows we get in the results. You might be able to achieve a better plan using things like TOP, or the kind of calculation that I used in http://sqlblog.com/blogs/rob_farley/archive/2011/08/23/t-sql-thoughts-about-the-95th-percentile.aspx (which is how PERCENTILE_CONT works), but it’s definitely convenient to use these functions, and in time, I’m sure we’ll see good improvements in the way that they are implemented. Oh, and this post should be good for fellow SQL Server MVP Nigel Sammy’s T-SQL Tuesday this month.

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  • New Year, New Position, New Opportunity and Adventures!

    - by D'Arcy Lussier
    2010 was an incredible year of change for me. On the personal side, we celebrated our youngest daughter’s first birthday and welcomed my oldest daughter into our family (both my girls are adopted). Professionally, I put on the first ever Prairie Developer Conference, the 3rd annual Winnipeg Code Camp, the Software Development and Evolution Conference, continued to build the technology community in Winnipeg, was awarded a Microsoft MVP award for the 4th year, created a certification program to help my employer, Protegra, attain Microsoft Partner status, and had great project work throughout the year. So now its 2011, and I’m looking ahead to new challenges and opportunities with a new employer. Starting in mid February I’ll be the Microsoft Practice Lead with Online Business Systems, a Microsoft partner here in Winnipeg! I’m very excited about working with such great people and helping continue delivering quality solutions and consulting that the organization has become known for. 2010 was great, but 2011 is shaping up to be a banner year both personally and professionally!

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  • SQL Query Builder/Designer and code Formating

    - by DavRob60
    I write SQL query every now and then, I could easily write them freehand, but sometimes I do create SQL queries using SQL Query Designers for various reason. (I wont start to enumerate them here and/or argue about their usefulness, so let's just say they are sometime useful.) Anyway, I currently use 2 Query Designers : SQL server management studio's Query Designer. Visual Studio 2010's Query Builder (must often within the Table adapter Query Configuration Wizard.) There's something I hate about those two (I don't know about the others), it's the way they throw away my Code formatting of SQL queries after an edit. Is there any way to configure something to automatically reformat the SQL output or is there any external tool/plug-in that I could use to do that job?

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  • SQL Server Express performance issue

    - by Developer IT
    Hi folks ! I know my questions will sound silly and probably nobody will have perfect answer but since I am in a complete dead-end with the situation it will make me feel better to post it here. So... I have a SQL Server Express database that's 500 Mb. It contains 5 tables and maybe 30 stored procedure. This database is use to store articles and is use for the Developer It web site. Normally the web pages load quickly, let's say 2 ou 3 sec. BUT, sqlserver process uses 100% of the processor for those 2 or 3 sec. I try to find which stored procedure was the problem and I could not find one. It seems like every read into the table dans contains the articles (there are about 155,000 of them and 20 or so gets added every 15 minutes). I added few index but without luck... It is because the table is full text indexed ? Should I have order with the primary key instead of date ? I never had any problems with ordering by dates.... Should I use dynamic SQL ? Should I add the primary key into the url of the articles ? Should I use mutiple indexes for seperate columns or one big index ? I you want more details or code bits, just ask for it. Basicly, every little hint is much apreciated. Thanks.

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  • SQL Server express service is not starting

    - by Mahdi Ghiasi
    I've bought my first VPS yesterday, and I have installed Microsoft SQL Server 2012 Express on it. Then I have restarted my VPS. But SQL Server Service didn't start. I've tried to start it manually, but It can't start: What is the problem? How to solve it? P.S: This is my first server management, and I'm a newbie, if you need any further details about this, please leave a comment. I'll update the question. Update 1: This is some log details from Event viewer that I thought that they may be useful for this problem: FCB::Open failed: Could not open file e:\sql11_main_t.obj.x86release\sql\mkmastr\databases\objfre\i386\MSDBData.mdf for file number 1. OS error: 3(The system cannot find the path specified.). The resource database build version is 11.00.3000. This is an informational message only. No user action is required. FileMgr::StartLogFiles: Operating system error 2(The system cannot find the file specified.) occurred while creating or opening file 'e:\sql11_main_t.obj.x86release\sql\mkmastr\databases\objfre\i386\MSDBLog.ldf'. Diagnose and correct the operating system error, and retry the operation. Starting up database 'model'. FCB::Open failed: Could not open file e:\sql11_main_t.obj.x86release\sql\mkmastr\databases\objfre\i386\model.mdf for file number 1. OS error: 3(The system cannot find the path specified.). FileMgr::StartLogFiles: Operating system error 2(The system cannot find the file specified.) occurred while creating or opening file 'e:\sql11_main_t.obj.x86release\sql\mkmastr\databases\objfre\i386\modellog.ldf'. Diagnose and correct the operating system error, and retry the operation. I'm confused about these e:\s, my VPS has just one C:\ drive, So what is e:\ ?

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  • SQL 2000 Backup/Export Process - Can't find SQL 2000 Enterprise Manager, Can't use Mgmt Studio Expre

    - by 1nsane
    I need to make a backup of a client's SQL 2000 database, however there are a few issues preventing me from doing so using the traditional methods. I've tried using SQL Management Studio Express, but the host doesn't give sufficient privileges to create a backup and I'm getting some strange error messages. I've also tried doing the "Generate Scripts" to recreate the schema, then using the DTS Wizard to migrate the data, but the IDs set up with the identity specification property are not consistent with the live database once copied over. This results in some foreign key breakage... If I remember correctly, I was able to use Microsoft SQL 2000 Enterprise Manager to perform the task before, but I can't find this anywhere... it seems Microsoft has pulled most SQL Server 2000 stuff from their site. Does anyone know where I can find a copy of Enterprise Manager (or a trial of SQL Server 2000, which I believe comes with the component)? Or conversely, does anyone know of any other tools (preferably non-commercial) that are capable of mirroring remote SQL Server 2000 DBs? Thanks!

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  • t-sql string concatenation

    - by stackoverflowuser
    i have a table that has following column Type -------- type 1 type 2 type 3 How can i convert the above to a string like ('type 1', 'type 2', 'type 3') I want to use the output in my t-sql query with IN clause. Something like select * from TableA where SomeColumn IN ('Type 1','Type 2', Type 3') I used to following to come up with output (type 1, type 2, type 3) select '(' + STUFF((select ', ' + Type from TableA for xml path ('')),1,2,'') + ')' But dont know how to insert the single quotes.

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  • SQL query in SQL SERVER 2005 - Comparing Dates

    - by YeomansLeo
    I'm having a hard time doing this query. I want to compare dates in my query, dates from my DB are in this format: (MM/DD/YYYY HH:MM:SS AM) I want to compare this date with tomorrow's day, today plus one. My questions are: How do I declare tomorrow's date in sql server? How would you compare these two dates? Thank you!! =D EDIT : DATES in DB are VarChar =S

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  • SQL. Sorting by a field

    - by strakastroukas
    I have created a simple view consisting of 3 tables in SQL. By right clicking and selecting Design, in the Object explorer table, i modified my custom view. I just added sortby asc in a field. The problem is that the changes are not reflected in the outout of the View. After saving the view, and selecting Open view the sort is not displayed in output. So what is going on here?

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  • How to Track Number of Changes Occured in a Column? T-SQL - SQL Server

    - by user327387
    For example, i have a column named EmployeeName. Every time a user changes/fix his name, i need to keep a count. If he changes his name twice, then count is 2. Also, i need to store the time of every change employee makes on EmployeeName e.g. if the name essentially is James and time created is 9:00 AM and then employee changes to John on 11:00 AM, i need to preserve this new time and new value as well as the previous one which is James at 9:00 AM. I hope its clear! Thank you guys...Best Answer will be chosen... If this requires a trigger, giving a sketchy pseudo-code will be very much appreciated.

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  • An XEvent a Day (10 of 31) – Targets Week – etw_classic_sync_target

    - by Jonathan Kehayias
    Yesterday’s post, Targets Week – pair_matching , looked at the pair_matching Target in Extended Events and how it could be used to find unmatched Events.  Today’s post will cover the etw_classic_sync_target Target, which can be used to track Events starting in SQL Server, out to the Windows Server OS Kernel, and then back to the Event completion in SQL Server. What is the etw_classic_sync_target Target? The etw_classic_sync_target Target is the target that hooks Extended Events in SQL Server...(read more)

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  • An XEvent a Day (17 of 31) – A Look at Backup Internals and How to Track Backup and Restore Throughput (Part 1)

    - by Jonathan Kehayias
    Today’s post is a continuation of yesterday’s post How Many Checkpoints are Issued During a Full Backup? and the investigation of Database Engine Internals with Extended Events.  In today’s post we’ll look at how Backup’s work inside of SQL Server and how to track the throughput of Backup and Restore operations.  This post is not going to cover Backups in SQL Server as a topic; if that is what you are looking for see Paul Randal’s TechNet Article Understanding SQL Server Backups . Yesterday...(read more)

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  • [Update] RedGate SQL Source Control and TFSPreview

    - by andyleonard
    31 Oct 2012 Update: SQL Source Control 3.1 is available! - Andy 12 Oct 2012 Update: The SQL Source Control 3.1 update is currently unavailable. I will provide additional updates when this version is re-released. - Andy I am excited that RedGate ’s SQL Source Control now supports connectivity to TFSPreview , Microsoft ’s cloud-based Application Life Cycle Management portal. Buck Woody ( Blog | @buckwoody ) and I have written about TFSPreview at SQLBlog already: Team Foundation Server (TFS) in the...(read more)

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  • An XEvent a Day (22 of 31) – The Future – fn_dblog() No More? Tracking Transaction Log Activity in Denali

    - by Jonathan Kehayias
    I bet that made you look didn’t it?  Worry not, fn_dblog() still exists in SQL Server Denali, and I plan on using it to validate the information being returned by a new Event in SQL Server Denali CTP1, sqlerver.transaction_log, which brings with it the ability to correlate specific transaction log entries to the operations that actually caused them to occur. There is no greater source of information about the transaction log in SQL Server than Paul Randal’s blog category Transaction Log . ...(read more)

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  • T-SQL Tuesday 24: Ode to Composable Code

    - by merrillaldrich
    I love the T-SQL Tuesday tradition, started by Adam Machanic and hosted this month by Brad Shulz . I am a little pressed for time this month, so today’s post is a short ode to how I love saving time with Composable Code in SQL. Composability is one of the very best features of SQL, but sometimes gets picked on due to both real and imaginary performance worries. I like to pick composable solutions when I can, while keeping the perf issues in mind, because they are just so handy and eliminate so much...(read more)

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  • An XEvent a Day (28 of 31) – Tracking Page Compression Operations

    - by Jonathan Kehayias
    The Database Compression feature in SQL Server 2008 Enterprise Edition can provide some significant reductions in storage requirements for SQL Server databases, and in the right implementations and scenarios performance improvements as well.  There isn’t really a whole lot of information about the operations of database compression that is documented as being available in the DMV’s or SQL Trace.  Paul Randal pointed out on Twitter today that sys.dm_db_index_operational_stats() provides...(read more)

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