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  • How do I remove duplicate SQL Server 2008 instances after upgrading from SQL Server 2005?

    - by andypike
    I've just upgraded an existing SQL Server 2005 to 2008 by running the installer (not the platform installer). It all seems to have worked - there were no errors reported and my code that connects to these databases still works fine. The problem is, when I try installing SQL Server Management Studio Express 2008 I am shown then following error message when I select to add new features to an existing instance of SQL Server 2008: The SQL Server instance 'SQL1MINUS102' already has an Instance ID '2' that is different than the specified Instance ID 'SQL1MINUS102'. Specifying more than one instance ID for the same SQL Server instance is not supported. Here is a screenshot of the installation dialog and the setup discovery report: Screenshot Notice that there are two instances with the same name. So any ideas how I should recifiy this so that I can install Management studio? Thanks in advance

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  • Investigation: Can different combinations of components effect Dataflow performance?

    - by jamiet
    Introduction The Dataflow task is one of the core components (if not the core component) of SQL Server Integration Services (SSIS) and often the most misunderstood. This is not surprising, its an incredibly complicated beast and we’re abstracted away from that complexity via some boxes that go yellow red or green and that have some lines drawn between them. Example dataflow In this blog post I intend to look under that facade and get into some of the nuts and bolts of the Dataflow Task by investigating how the decisions we make when building our packages can affect performance. I will do this by comparing the performance of three dataflows that all have the same input, all produce the same output, but which all operate slightly differently by way of having different transformation components. I also want to use this blog post to challenge a common held opinion that I see perpetuated over and over again on the SSIS forum. That is, that people assume adding components to a dataflow will be detrimental to overall performance. Its not surprising that people think this –it is intuitive to think that more components means more work- however this is not a view that I share. I have always been of the opinion that there are many factors affecting dataflow duration and the number of components is actually one of the less important ones; having said that I have never proven that assertion and that is one reason for this investigation. I have actually seen evidence that some people think dataflow duration is simply a function of number of rows and number of components. I’ll happily call that one out as a myth even without any investigation!  The Setup I have a 2GB datafile which is a list of 4731904 (~4.7million) customer records with various attributes against them and it contains 2 columns that I am going to use for categorisation: [YearlyIncome] [BirthDate] The data file is a SSIS raw format file which I chose to use because it is the quickest way of getting data into a dataflow and given that I am testing the transformations, not the source or destination adapters, I want to minimise external influences as much as possible. In the test I will split the customers according to month of birth (12 of those) and whether or not their yearly income is above or below 50000 (2 of those); in other words I will be splitting them into 24 discrete categories and in order to do it I shall be using different combinations of SSIS’ Conditional Split and Derived Column transformation components. The 24 datapaths that occur will each input to a rowcount component, again because this is the least resource intensive means of terminating a datapath. The test is being carried out on a Dell XPS Studio laptop with a quad core (8 logical Procs) Intel Core i7 at 1.73GHz and Samsung SSD hard drive. Its running SQL Server 2008 R2 on Windows 7. The Variables Here are the three combinations of components that I am going to test:     One Conditional Split - A single Conditional Split component CSPL Split by Month of Birth and income category that will use expressions on [YearlyIncome] & [BirthDate] to send each row to one of 24 outputs. This next screenshot displays the expression logic in use: Derived Column & Conditional Split - A Derived Column component DER Income Category that adds a new column [IncomeCategory] which will contain one of two possible text values {“LessThan50000”,”GreaterThan50000”} and uses [YearlyIncome] to determine which value each row should get. A Conditional Split component CSPL Split by Month of Birth and Income Category then uses that new column in conjunction with [BirthDate] to determine which of the same 24 outputs to send each row to. Put more simply, I am separating the Conditional Split of #1 into a Derived Column and a Conditional Split. The next screenshots display the expression logic in use: DER Income Category         CSPL Split by Month of Birth and Income Category       Three Conditional Splits - A Conditional Split component that produces two outputs based on [YearlyIncome], one for each Income Category. Each of those outputs will go to a further Conditional Split that splits the input into 12 outputs, one for each month of birth (identical logic in each). In this case then I am separating the single Conditional Split of #1 into three Conditional Split components. The next screenshots display the expression logic in use: CSPL Split by Income Category         CSPL Split by Month of Birth 1& 2       Each of these combinations will provide an input to one of the 24 rowcount components, just the same as before. For illustration here is a screenshot of the dataflow containing three Conditional Split components: As you can these dataflows have a fair bit of work to do and remember that they’re doing that work for 4.7million rows. I will execute each dataflow 10 times and use the average for comparison. I foresee three possible outcomes: The dataflow containing just one Conditional Split (i.e. #1) will be quicker There is no significant difference between any of them One of the two dataflows containing multiple transformation components will be quicker Regardless of which of those outcomes come to pass we will have learnt something and that makes this an interesting test to carry out. Note that I will be executing the dataflows using dtexec.exe rather than hitting F5 within BIDS. The Results and Analysis The table below shows all of the executions, 10 for each dataflow. It also shows the average for each along with a standard deviation. All durations are in seconds. I’m pasting a screenshot because I frankly can’t be bothered with the faffing about needed to make a presentable HTML table. It is plain to see from the average that the dataflow containing three conditional splits is significantly faster, the other two taking 43% and 52% longer respectively. This seems strange though, right? Why does the dataflow containing the most components outperform the other two by such a big margin? The answer is actually quite logical when you put some thought into it and I’ll explain that below. Before progressing, a side note. The standard deviation for the “Three Conditional Splits” dataflow is orders of magnitude smaller – indicating that performance for this dataflow can be predicted with much greater confidence too. The Explanation I refer you to the screenshot above that shows how CSPL Split by Month of Birth and salary category in the first dataflow is setup. Observe that there is a case for each combination of Month Of Date and Income Category – 24 in total. These expressions get evaluated in the order that they appear and hence if we assume that Month of Date and Income Category are uniformly distributed in the dataset we can deduce that the expected number of expression evaluations for each row is 12.5 i.e. 1 (the minimum) + 24 (the maximum) divided by 2 = 12.5. Now take a look at the screenshots for the second dataflow. We are doing one expression evaluation in DER Income Category and we have the same 24 cases in CSPL Split by Month of Birth and Income Category as we had before, only the expression differs slightly. In this case then we have 1 + 12.5 = 13.5 expected evaluations for each row – that would account for the slightly longer average execution time for this dataflow. Now onto the third dataflow, the quick one. CSPL Split by Income Category does a maximum of 2 expression evaluations thus the expected number of evaluations per row is 1.5. CSPL Split by Month of Birth 1 & CSPL Split by Month of Birth 2 both have less work to do than the previous Conditional Split components because they only have 12 cases to test for thus the expected number of expression evaluations is 6.5 There are two of them so total expected number of expression evaluations for this dataflow is 6.5 + 6.5 + 1.5 = 14.5. 14.5 is still more than 12.5 & 13.5 though so why is the third dataflow so much quicker? Simple, the conditional expressions in the first two dataflows have two boolean predicates to evaluate – one for Income Category and one for Month of Birth; the expressions in the Conditional Split in the third dataflow however only have one predicate thus they are doing a lot less work. To sum up, the difference in execution times can be attributed to the difference between: MONTH(BirthDate) == 1 && YearlyIncome <= 50000 and MONTH(BirthDate) == 1 In the first two dataflows YearlyIncome <= 50000 gets evaluated an average of 12.5 times for every row whereas in the third dataflow it is evaluated once and once only. Multiply those 11.5 extra operations by 4.7million rows and you get a significant amount of extra CPU cycles – that’s where our duration difference comes from. The Wrap-up The obvious point here is that adding new components to a dataflow isn’t necessarily going to make it go any slower, moreover you may be able to achieve significant improvements by splitting logic over multiple components rather than one. Performance tuning is all about reducing the amount of work that needs to be done and that doesn’t necessarily mean use less components, indeed sometimes you may be able to reduce workload in ways that aren’t immediately obvious as I think I have proven here. Of course there are many variables in play here and your mileage will most definitely vary. I encourage you to download the package and see if you get similar results – let me know in the comments. The package contains all three dataflows plus a fourth dataflow that will create the 2GB raw file for you (you will also need the [AdventureWorksDW2008] sample database from which to source the data); simply disable all dataflows except the one you want to test before executing the package and remember, execute using dtexec, not within BIDS. If you want to explore dataflow performance tuning in more detail then here are some links you might want to check out: Inequality joins, Asynchronous transformations and Lookups Destination Adapter Comparison Don’t turn the dataflow into a cursor SSIS Dataflow – Designing for performance (webinar) Any comments? Let me know! @Jamiet

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  • Required Parameters [SSIS Denali]

    - by jamiet
    SQL Server Integration Services (SSIS) in its 2005 and 2008 incarnations expects you to set a property values within your package at runtime using Configurations. SSIS developers tend to have rather a lot of issues with SSIS configurations; in this blog post I am going to highlight one of those problems and how it has been alleviated in SQL Server code-named Denali.   A configuration is a property path/value pair that exists outside of a package, typically within SQL Server or in a collection of one or more configurations in a file called a .dtsConfig file. Within the package one defines a pointer to a configuration that says to the package “When you execute, go and get a configuration value from this location” and if all goes well the package will fetch that configuration value as it starts to execute and you will see something like the following in your output log: Information: 0x40016041 at Package: The package is attempting to configure from the XML file "C:\Configs\MyConfig.dtsConfig". Unfortunately things DON’T always go well, perhaps the .dtsConfig file is unreachable or the name of the SQL Sever holding the configuration value has been defined incorrectly – any one of a number of things can go wrong. In this circumstance you might see something like the following in your log output instead: Warning: 0x80012014 at Package: The configuration file "C:\Configs\MyConfig.dtsConfig" cannot be found. Check the directory and file name. The problem that I want to draw attention to here though is that your package will ignore the fact it can’t find the configuration and executes anyway. This is really really bad because the package will not be doing what it is supposed to do and worse, if you have not isolated your environments you might not even know about it. Can you imagine a package executing for months and all the while inserting data into the wrong server? Sounds ridiculous but I have absolutely seen this happen and the root cause was that no-one picked up on configuration warnings like the one above. Happily in SSIS code-named Denali this problem has gone away as configurations have been replaced with parameters. Each parameter has a property called ‘Required’: Any parameter with Required=True must have a value passed to it when the package executes. Any attempt to execute the package will result in an error. Here we see that error when attempting to execute using the SSMS UI: and similarly when executing using T-SQL: Error is: Msg 27184, Level 16, State 1, Procedure prepare_execution, Line 112 In order to execute this package, you need to specify values for the required parameters.   As you can see, SSIS code-named Denali has mechanisms built-in to prevent the problem I described at the top of this blog post. Specifying a Parameter required means that any packages in that project cannot execute until a value for the parameter has been supplied. This is a very good thing. I am loathe to make recommendations so early in the development cycle but right now I’m thinking that all Project Parameters should have Required=True, certainly any that are used to define external locations should be anyway. @Jamiet

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  • DATEFROMPARTS

    - by jamiet
    I recently overheard a remark by Greg Low in which he said something akin to "the most interesting parts of a new SQL Server release are the myriad of small things that are in there that make a developer's life easier" (I'm paraphrasing because I can't remember the actual quote but it was something like that). The new DATEFROMPARTS function is a classic example of that . It simply takes three integer parameters and builds a date out of them (if you have used DateSerial in Reporting Services then you'll understand). Take the following code which generates the first and last day of some given years: SELECT 2008 AS Yr INTO #Years UNION ALL SELECT 2009 UNION ALL SELECT 2010 UNION ALL SELECT 2011 UNION ALL SELECT 2012SELECT [FirstDayOfYear] = CONVERT(DATE,CONVERT(CHAR(8),((y.[Yr] * 10000) + 101))),      [LastDayOfYear] = CONVERT(DATE,CONVERT(CHAR(8),((y.[Yr] * 10000) + 1231)))FROM   #Years y here are the results: That code is pretty gnarly though with those CONVERTs in there and, worse, if the character string is constructed in a certain way then it could fail due to localisation, check this out: SET LANGUAGE french;SELECT dt,Month_Name=DATENAME(mm,dt)FROM   (       SELECT  dt = CONVERT(DATETIME,CONVERT(CHAR(4),y.[Yr]) + N'-01-02')       FROM    #Years y       )d;SET LANGUAGE us_english;SELECT dt,Month_Name=DATENAME(mm,dt)FROM   (       SELECT  dt = CONVERT(DATETIME,CONVERT(CHAR(4),y.[Yr]) + N'-01-02')       FROM    #Years y       )d; Notice how the datetime has been converted differently based on the language setting. When French, the string "2012-01-02" gets interpreted as 1st February whereas when us_english the same string is interpreted as 2nd January. Instead of all this CONVERTing nastiness we have DATEFROMPARTS: SELECT [FirstDayOfYear] = DATEFROMPARTS(y.[Yr],1,1),    [LasttDayOfYear] = DATEFROMPARTS(y.[Yr],12,31)FROM   #Years y How much nicer is that? The bad news of course is that you have to upgrade to SQL Server 2012 or migrate to SQL Azure if you want to use it, as is the way of the world! Don't forget that if you want to try this code out on SQL Azure right this second, for free, you can do so by connecting up to AdventureWorks On Azure. You don't even need to have SSMS handy - a browser that runs Silverlight will do just fine. Simply head to https://mhknbn2kdz.database.windows.net/ and use the following credentials: Database AdventureWorks2012 User sqlfamily Password sqlf@m1ly One caveat, SELECT INTO doesn't work on SQL Azure so you'll have to use this instead: DECLARE @y TABLE ( [Yr] INT);INSERT @y([Yr])SELECT 2008 AS Yr UNION ALL SELECT 2009 UNION ALL SELECT 2010 UNION ALL SELECT 2011 UNION ALL SELECT 2012;SELECT [FirstDayOfYear] = DATEFROMPARTS(y.[Yr],1,1),      [LastDayOfYear] = DATEFROMPARTS(y.[Yr],12,31)FROM @y y;SELECT [FirstDayOfYear] = CONVERT(DATE,CONVERT(CHAR(8),((y.[Yr] * 10000) + 101))),      [LastDayOfYear] = CONVERT(DATE,CONVERT(CHAR(8),((y.[Yr] * 10000) + 1231)))FROM @y y; @Jamiet

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  • using R.zoo to plot multiple series with error bars

    - by dnagirl
    I have data that looks like this: > head(data) groupname ob_time dist.mean dist.sd dur.mean dur.sd ct.mean ct.sd 1 rowA 0.3 61.67500 39.76515 43.67500 26.35027 8.666667 11.29226 2 rowA 60.0 45.49167 38.30301 37.58333 27.98207 8.750000 12.46176 3 rowA 120.0 50.22500 35.89708 40.40000 24.93399 8.000000 10.23363 4 rowA 180.0 54.05000 41.43919 37.98333 28.03562 8.750000 11.97061 5 rowA 240.0 51.97500 41.75498 35.60000 25.68243 28.583333 46.14692 6 rowA 300.0 45.50833 43.10160 32.20833 27.37990 12.833333 14.21800 Each groupname is a data series. Since I want to plot each series separately, I've separated them like this: > A <- zoo(data[which(groupname=='rowA'),3:8],data[which(groupname=='rowA'),2]) > B <- zoo(data[which(groupname=='rowB'),3:8],data[which(groupname=='rowB'),2]) > C <- zoo(data[which(groupname=='rowC'),3:8],data[which(groupname=='rowC'),2]) ETA: Thanks to gd047: Now I'm using this: z <- dlply(data,.(groupname),function(x) zoo(x[,3:8],x[,2])) The resulting zoo objects look like this: > head(z$rowA) dist.mean dist.sd dur.mean dur.sd ct.mean ct.sd 0.3 61.67500 39.76515 43.67500 26.35027 8.666667 11.29226 60 45.49167 38.30301 37.58333 27.98207 8.750000 12.46176 120 50.22500 35.89708 40.40000 24.93399 8.000000 10.23363 180 54.05000 41.43919 37.98333 28.03562 8.750000 11.97061 240 51.97500 41.75498 35.60000 25.68243 28.583333 46.14692 300 45.50833 43.10160 32.20833 27.37990 12.833333 14.21800 So if I want to plot dist.mean against time and include error bars equal to +/- dist.sd for each series: how do I combine A,B,C dist.mean and dist.sd? how do I make a bar plot, or perhaps better, a line graph of the resulting object?

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  • ?????create or replace???PL/SQL??

    - by Liu Maclean(???)
    ????T.Askmaclean.com?????10gR2??????procedure,?????????create or replace ??????????????????,????Oracle???????????????????procedure? ??Maclean ??2?10gR2???????????PL/SQL?????: ??1: ??Flashback Query ????,?????????????flashback database,??????????create or replace???SQL??source$??????????undo data,????????????: SQL> select * from V$version; BANNER ---------------------------------------------------------------- Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - 64bi PL/SQL Release 10.2.0.5.0 - Production CORE 10.2.0.5.0 Production TNS for Linux: Version 10.2.0.5.0 - Production NLSRTL Version 10.2.0.5.0 - Production SQL> select * from global_name; GLOBAL_NAME -------------------------------------------------------------------------------- www.oracledatabase12g.com SQL> create or replace procedure maclean_proc as   2  begin   3  execute immediate 'select 1 from dual';   4  end;   5  / Procedure created. SQL> select * from dba_source where name='MACLEAN_PROC'; OWNER      NAME                           TYPE               LINE TEXT ---------- ------------------------------ ------------ ---------- -------------------------------------------------- SYS        MACLEAN_PROC                   PROCEDURE             1 procedure maclean_proc as SYS        MACLEAN_PROC                   PROCEDURE             2 begin SYS        MACLEAN_PROC                   PROCEDURE             3 execute immediate 'select 1 from dual'; SYS        MACLEAN_PROC                   PROCEDURE             4 end; SQL> select current_scn from v$database; CURRENT_SCN -----------     2660057 create or replace procedure maclean_proc as begin -- I am new procedure execute immediate 'select 2 from dual'; end; / Procedure created. SQL> select current_scn from v$database; CURRENT_SCN -----------     2660113 SQL> select * from dba_source where name='MACLEAN_PROC'; OWNER      NAME                           TYPE               LINE TEXT ---------- ------------------------------ ------------ ---------- -------------------------------------------------- SYS        MACLEAN_PROC                   PROCEDURE             1 procedure maclean_proc as SYS        MACLEAN_PROC                   PROCEDURE             2 begin SYS        MACLEAN_PROC                   PROCEDURE             3 -- I am new procedure SYS        MACLEAN_PROC                   PROCEDURE             4 execute immediate 'select 2 from dual'; SYS        MACLEAN_PROC                   PROCEDURE             5 end; SQL> create table old_source as select * from dba_source as of scn 2660057 where name='MACLEAN_PROC'; Table created. SQL> select * from old_source where name='MACLEAN_PROC'; OWNER      NAME                           TYPE               LINE TEXT ---------- ------------------------------ ------------ ---------- -------------------------------------------------- SYS        MACLEAN_PROC                   PROCEDURE             1 procedure maclean_proc as SYS        MACLEAN_PROC                   PROCEDURE             2 begin SYS        MACLEAN_PROC                   PROCEDURE             3 execute immediate 'select 1 from dual'; SYS        MACLEAN_PROC                   PROCEDURE             4 end; ?????????scn??flashback query????,????????as of timestamp??????????,????PL/SQL????????????????undo??????????,????????????replace/drop ??????PL/SQL??? ??2 ??logminer??replace/drop PL/SQL?????SQL???DELETE??,??logminer?UNDO SQL???PL/SQL?????? ????????????????archivelog????,??????????????? minimal supplemental logging,??????????Unsupported SQLREDO???: create or replace?? ?? procedure???????SQL??????, ??????procedure????????????????, source$??????????????: SQL> ALTER DATABASE ADD SUPPLEMENTAL LOG DATA; Database altered. SQL> create or replace procedure maclean_proc as   2  begin   3  execute immediate 'select 1 from dual';   4  end;   5  / Procedure created. SQL> SQL> oradebug setmypid; Statement processed. SQL> SQL> oradebug event 10046 trace name context forever,level 12; Statement processed. SQL> SQL> create or replace procedure maclean_proc as   2  begin   3  execute immediate 'select 2 from dual';   4  end;   5  / Procedure created. SQL> oradebug tracefile_name /s01/admin/G10R25/udump/g10r25_ora_4305.trc [oracle@vrh8 ~]$ egrep  "update|insert|delete|merge"  /s01/admin/G10R25/udump/g10r25_ora_4305.trc delete from procedureinfo$ where obj#=:1 delete from argument$ where obj#=:1 delete from procedurec$ where obj#=:1 delete from procedureplsql$ where obj#=:1 delete from procedurejava$ where obj#=:1 delete from vtable$ where obj#=:1 insert into procedureinfo$(obj#,procedure#,overload#,procedurename,properties,itypeobj#) values (:1,:2,:3,:4,:5,:6) insert into argument$( obj#,procedure$,procedure#,overload#,position#,sequence#,level#,argument,type#,default#,in_out,length,precision#,scale,radix,charsetid,charsetform,properties,type_owner,type_name,type_subname,type_linkname,pls_type) values (:1,:2,:3,:4,:5,:6,:7,:8,:9,:10,:11,:12,:13,:14,:15,:16,:17,:18,:19,:20,:21,:22,:23) insert into procedureplsql$(obj#,procedure#,entrypoint#) values (:1,:2,:3) update procedure$ set audit$=:2,options=:3 where obj#=:1 delete from source$ where obj#=:1 insert into source$(obj#,line,source) values (:1,:2,:3) delete from idl_ub1$ where obj#=:1 and part=:2 and version<>:3 delete from idl_char$ where obj#=:1 and part=:2 and version<>:3 delete from idl_ub2$ where obj#=:1 and part=:2 and version<>:3 delete from idl_sb4$ where obj#=:1 and part=:2 and version<>:3 delete from ncomp_dll$ where obj#=:1 returning dllname into :2 update idl_sb4$ set piece#=:1 ,length=:2 , piece=:3 where obj#=:4 and part=:5 and piece#=:6 and version=:7 update idl_ub1$ set piece#=:1 ,length=:2 , piece=:3 where obj#=:4 and part=:5 and piece#=:6 and version=:7 update idl_char$ set piece#=:1 ,length=:2 , piece=:3 where obj#=:4 and part=:5 and piece#=:6 and version=:7 update idl_ub2$ set piece#=:1 ,length=:2 , piece=:3 where obj#=:4 and part=:5 and piece#=:6 and version=:7 delete from idl_ub1$ where obj#=:1 and part=:2 and version<>:3 delete from idl_char$ where obj#=:1 and part=:2 and version<>:3 delete from idl_ub2$ where obj#=:1 and part=:2 and version<>:3 delete from idl_sb4$ where obj#=:1 and part=:2 and version<>:3 delete from ncomp_dll$ where obj#=:1 returning dllname into :2 delete from idl_ub1$ where obj#=:1 and part=:2 and (piece#<:3 or piece#>:4) and version=:5 delete from idl_char$ where obj#=:1 and part=:2 and (piece#<:3 or piece#>:4) and version=:5 delete from idl_ub2$ where obj#=:1 and part=:2 and (piece#<:3 or piece#>:4) and version=:5 delete from idl_sb4$ where obj#=:1 and part=:2 and (piece#<:3 or piece#>:4) and version=:5 delete from idl_ub1$ where obj#=:1 and part=:2 and version<>:3 delete from idl_char$ where obj#=:1 and part=:2 and version<>:3 delete from idl_ub2$ where obj#=:1 and part=:2 and version<>:3 delete from idl_sb4$ where obj#=:1 and part=:2 and version<>:3 delete from ncomp_dll$ where obj#=:1 returning dllname into :2 update idl_sb4$ set piece#=:1 ,length=:2 , piece=:3 where obj#=:4 and part=:5 and piece#=:6 and version=:7 update idl_ub1$ set piece#=:1 ,length=:2 , piece=:3 where obj#=:4 and part=:5 and piece#=:6 and version=:7 delete from idl_char$ where obj#=:1 and part=:2 and (piece#<:3 or piece#>:4) and version=:5 delete from idl_ub2$ where obj#=:1 and part=:2 and (piece#<:3 or piece#>:4) and version=:5 delete from error$ where obj#=:1 delete from settings$ where obj# = :1 insert into settings$(obj#, param, value) values (:1, :2, :3) delete from warning_settings$ where obj# = :1 insert into warning_settings$(obj#, warning_num, global_mod, property) values (:1, :2, :3, :4) delete from dependency$ where d_obj#=:1 delete from access$ where d_obj#=:1 insert into dependency$(d_obj#,d_timestamp,order#,p_obj#,p_timestamp, property, d_attrs)values (:1,:2,:3,:4,:5,:6, :7) insert into access$(d_obj#,order#,columns,types) values (:1,:2,:3,:4) update obj$ set obj#=:6,type#=:7,ctime=:8,mtime=:9,stime=:10,status=:11,dataobj#=:13,flags=:14,oid$=:15,spare1=:16, spare2=:17 where owner#=:1 and name=:2 and namespace=:3 and(remoteowner=:4 or remoteowner is null and :4 is null)and(linkname=:5 or linkname is null and :5 is null)and(subname=:12 or subname is null and :12 is null) ?drop procedure??????source$???PL/SQL?????: SQL> oradebug setmypid; Statement processed. SQL> oradebug event 10046 trace name context forever,level 12; Statement processed. SQL> drop procedure maclean_proc; Procedure dropped. SQL> oradebug tracefile_name /s01/admin/G10R25/udump/g10r25_ora_4331.trc delete from context$ where obj#=:1 delete from dir$ where obj#=:1 delete from type_misc$ where obj#=:1 delete from library$ where obj#=:1 delete from procedure$ where obj#=:1 delete from javaobj$ where obj#=:1 delete from operator$ where obj#=:1 delete from opbinding$ where obj#=:1 delete from opancillary$ where obj#=:1 delete from oparg$ where obj# = :1 delete from com$ where obj#=:1 delete from source$ where obj#=:1 delete from idl_ub1$ where obj#=:1 and part=:2 delete from idl_char$ where obj#=:1 and part=:2 delete from idl_ub2$ where obj#=:1 and part=:2 delete from idl_sb4$ where obj#=:1 and part=:2 delete from ncomp_dll$ where obj#=:1 returning dllname into :2 delete from idl_ub1$ where obj#=:1 and part=:2 delete from idl_char$ where obj#=:1 and part=:2 delete from idl_ub2$ where obj#=:1 and part=:2 delete from idl_sb4$ where obj#=:1 and part=:2 delete from ncomp_dll$ where obj#=:1 returning dllname into :2 delete from idl_ub1$ where obj#=:1 and part=:2 delete from idl_char$ where obj#=:1 and part=:2 delete from idl_ub2$ where obj#=:1 and part=:2 delete from idl_sb4$ where obj#=:1 and part=:2 delete from ncomp_dll$ where obj#=:1 returning dllname into :2 delete from error$ where obj#=:1 delete from settings$ where obj# = :1 delete from procedureinfo$ where obj#=:1 delete from argument$ where obj#=:1 delete from procedurec$ where obj#=:1 delete from procedureplsql$ where obj#=:1 delete from procedurejava$ where obj#=:1 delete from vtable$ where obj#=:1 delete from dependency$ where d_obj#=:1 delete from access$ where d_obj#=:1 delete from objauth$ where obj#=:1 update obj$ set obj#=:6,type#=:7,ctime=:8,mtime=:9,stime=:10,status=:11,dataobj#=:13,flags=:14,oid$=:15,spare1=:16, spare2=:17 where owner#=:1 and name=:2 and namespace=:3 and(remoteowner=:4 or remoteowner is null and :4 is null)and(linkname=:5 or linkname is null and :5 is null)and(subname=:12 or subname is null and :12 is null) ??????????source$???redo: SQL> alter system switch logfile; System altered. SQL> select sequence#,name from v$archived_log where sequence#=(select max(sequence#) from v$archived_log);  SEQUENCE# ---------- NAME --------------------------------------------------------------------------------        242 /s01/flash_recovery_area/G10R25/archivelog/2012_05_21/o1_mf_1_242_7vnm13k6_.arc SQL> exec dbms_logmnr.add_logfile ('/s01/flash_recovery_area/G10R25/archivelog/2012_05_21/o1_mf_1_242_7vnm13k6_.arc',options => dbms_logmnr.new); PL/SQL procedure successfully completed. SQL> exec dbms_logmnr.start_logmnr(options => dbms_logmnr.dict_from_online_catalog); PL/SQL procedure successfully completed. SQL> select sql_redo,sql_undo from v$logmnr_contents where seg_name = 'SOURCE$' and operation='DELETE'; delete from "SYS"."SOURCE$" where "OBJ#" = '56059' and "LINE" = '1' and "SOURCE" = 'procedure maclean_proc as ' and ROWID = 'AAAABIAABAAALpyAAN'; insert into "SYS"."SOURCE$"("OBJ#","LINE","SOURCE") values ('56059','1','procedure maclean_proc as '); delete from "SYS"."SOURCE$" where "OBJ#" = '56059' and "LINE" = '2' and "SOURCE" = 'begin ' and ROWID = 'AAAABIAABAAALpyAAO'; insert into "SYS"."SOURCE$"("OBJ#","LINE","SOURCE") values ('56059','2','begin '); delete from "SYS"."SOURCE$" where "OBJ#" = '56059' and "LINE" = '3' and "SOURCE" = 'execute immediate ''select 1 from dual''; ' and ROWID = 'AAAABIAABAAALpyAAP'; insert into "SYS"."SOURCE$"("OBJ#","LINE","SOURCE") values ('56059','3','execute immediate ''select 1 from dual''; '); delete from "SYS"."SOURCE$" where "OBJ#" = '56059' and "LINE" = '4' and "SOURCE" = 'end;' and ROWID = 'AAAABIAABAAALpyAAQ'; insert into "SYS"."SOURCE$"("OBJ#","LINE","SOURCE") values ('56059','4','end;'); delete from "SYS"."SOURCE$" where "OBJ#" = '56059' and "LINE" = '1' and "SOURCE" = 'procedure maclean_proc as ' and ROWID = 'AAAABIAABAAALpyAAJ'; insert into "SYS"."SOURCE$"("OBJ#","LINE","SOURCE") values ('56059','1','procedure maclean_proc as '); delete from "SYS"."SOURCE$" where "OBJ#" = '56059' and "LINE" = '2' and "SOURCE" = 'begin ' and ROWID = 'AAAABIAABAAALpyAAK'; insert into "SYS"."SOURCE$"("OBJ#","LINE","SOURCE") values ('56059','2','begin '); delete from "SYS"."SOURCE$" where "OBJ#" = '56059' and "LINE" = '3' and "SOURCE" = 'execute immediate ''select 2 from dual''; ' and ROWID = 'AAAABIAABAAALpyAAL'; insert into "SYS"."SOURCE$"("OBJ#","LINE","SOURCE") values ('56059','3','execute immediate ''select 2 from dual''; '); delete from "SYS"."SOURCE$" where "OBJ#" = '56059' and "LINE" = '4' and "SOURCE" = 'end;' and ROWID = 'AAAABIAABAAALpyAAM'; insert into "SYS"."SOURCE$"("OBJ#","LINE","SOURCE") values ('56059','4','end;'); ???? logminer???UNDO SQL???????source$????,?DELETE????????????,????SOURCE????????????PL/SQL???DDL???

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  • sql-server: Can I update two table with Single Query?

    - by RedsDevils
    How can I write single UPDATE query to change value of COL1 to ‘X’ if COL2 < 10 otherwise change it to ‘Y’, where the following two tables are linked by ID CREATE TABLE TEMP(ID TINYINT, COL1 CHAR(1)) INSERT INTO TEMP(ID,COL1) VALUES (1,'A') INSERT INTO TEMP(ID,COL1) VALUES (2,'B') INSERT INTO TEMP(ID,COL1) VALUES (11,'A') INSERT INTO TEMP(ID,COL1) VALUES (17,'B') CREATE TABLE TEMP2(ID TINYINT, COL2 TINYINT) INSERT INTO TEMP2(ID,COL2) VALUES (1,1) INSERT INTO TEMP2(ID,COL2) VALUES (2,5) INSERT INTO TEMP2(ID,COL2) VALUES (11,10) INSERT INTO TEMP2(ID,COL2) VALUES (17,15) Thanks in advance!

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  • Using multiple aggregate functions in an (ANSI) SQL statement

    - by morpheous
    I have aggregate functions foo(), foobar(), fredstats(), barneystats() I want to create a domain specific query language (DSQL) above my DB, to facilitate using a domain language to query the DB. The 'language' comprises of algebraic expressions (or more specifically SQL like criteria) which I use to generate (ANSI) SQL statements which are sent to the db engine. The following lines are examples of what the language statements will look like, and hopefully, it will help further clarify the concept: **Example 1** DQL statement: foobar('yellow') between 1 and 3 and fredstats('weight') > 42 Translation: fetch all rows in an underlying table where computed values for aggregate function foobar() is between 1 and 3 AND computed value for AGG FUNC fredstats() is greater than 42 **Example 2** DQL statement: fredstats('weight') < barneystats('weight') AND foo('fighter') in (9,10,11) AND foobar('green') <> 42 Translation: Fetch all rows where the specified criteria matches **Example 3** DQL statement: foobar('green') / foobar('red') <> 42 Translation: Fetch all rows where the specified criteria matches **Example 4** DQL statement: foobar('green') - foobar('red') >= 42 Translation: Fetch all rows where the specified criteria matches Given the following information: The table upon which the queries above are being executed is called 'tbl' table 'tbl' has the following structure (id int, name varchar(32), weight float) The result set returns only the tbl.id, tbl.name and the names of the aggregate functions as columns in the result set - so for example the foobar() AGG FUNC column will be called foobar in the result set. So for example, the first DQL query will return a result set with the following columns: id, name, foobar, fredstats Given the above, my questions then are: What would be the underlying SQL required for Example1 ? What would be the underlying SQL required for Example3 ? Given an algebraic equation comprising of AGGREGATE functions, Is there a way of generalizing the algorithm needed to generate the required ANSI SQL statement(s)? I am using PostgreSQL as the db, but I would prefer to use ANSI SQL wherever possible.

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  • How to get SQL Function run a different query and return value from either query?

    - by RoguePlanetoid
    I need a function, but cannot seem to get it quite right, I have looked at examples here and elsewhere and cannot seem to get this just right, I need an optional item to be included in my query, I have this query (which works): SELECT TOP 100 PERCENT SKU, Description, LEN(CONVERT(VARCHAR (1000),Description)) AS LenDesc FROM tblItem WHERE Title = @Title AND Manufacturer = @Manufacturer ORDER BY LenDesc DESC This works within a Function, however the Manufacturer is Optional for this search - which is to find the description of a similar item, if none is present, the other query is: SELECT TOP 100 PERCENT SKU, Description, LEN(CONVERT(VARCHAR (1000),Description)) AS LenDesc FROM tblItem WHERE Title = @Title ORDER BY LenDesc DESC Which is missing the Manufacturer, how to I get my function to use either query based on the Manufacturer Value being present or not. The reason is I will have a function which first checks an SKU for a Description, if it is not present - it uses this method to get a Description from a Similar Product, then updates the product being added with the similar product's description. Here is the function so far: ALTER FUNCTION [dbo].[GetDescriptionByTitleManufacturer] ( @Title varchar(400), @Manufacturer varchar(160) ) RETURNS TABLE AS RETURN ( SELECT TOP 100 PERCENT SKU, Description, LEN(CONVERT(VARCHAR (1000),Description)) AS LenDesc FROM tblItem WHERE Title = @Title AND Manufacturer = @Manufacturer ORDER BY LenDesc DESC ) I've tried adding BEGINs and IF...ELSEs but get errors or syntax problems each way I try it, I want to be able to do something like this pseudo-function (which does not work): ALTER FUNCTION [dbo].[GetDescriptionByTitleManufacturer] ( @Title varchar(400), @Manufacturer varchar(160) ) RETURNS TABLE AS BEGIN IF (@Manufacturer = Null) RETURN ( SELECT TOP 100 PERCENT SKU, Description, LEN(CONVERT(VARCHAR (1000),Description)) AS LenDesc FROM tblItem WHERE Title = @Title ORDER BY LenDesc DESC ) ELSE RETURN ( SELECT TOP 100 PERCENT SKU, Description, LEN(CONVERT(VARCHAR (1000),Description)) AS LenDesc FROM tblItem WHERE Title = @Title AND Manufacturer = @Manufacturer ORDER BY LenDesc DESC ) END

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  • Convert query with system objects from SQL 2000 to 2005/2008

    - by Dan
    I have some SQL I need to get working on SQL 2005/2008. The SQL is from SQL 2000 and uses some system objects to make it work. master.dbo.spt_provider_types master.dbo.syscharsets systypes syscolumns sysobjects I know SQL 2005 does no longer use system tables and I can get the same information from views, but I am looking for a solution that will work for both SQL 2000 and 2005/2008. Any ideas? select top 100 percent TABLE_CATALOG = db_name(), TABLE_SCHEMA = user_name(o.uid), TABLE_NAME = o.name, COLUMN_NAME = c.name, ORDINAL_POSITION = convert(int, ( select count(*) from syscolumns sc where sc.id = c.id AND sc.number = c.number AND sc.colid <= c.colid )), IS_COMPUTED = convert(bit, c.iscomputed) from syscolumns c left join syscomments m on c.cdefault = m.id and m.colid = 1, sysobjects o, master.dbo.spt_provider_types d, systypes t, master.dbo.syscharsets a_cha /* charset/1001, not sortorder.*/ where o.name = @table_name and permissions(o.id, c.name) <> 0 and (o.type in ('U','V','S') OR (o.type in ('TF', 'IF') and c.number = 0)) and o.id = c.id and t.xtype = d.ss_dtype and c.length = case when d.fixlen > 0 then d.fixlen else c.length end and c.xusertype = t.xusertype and a_cha.type = 1001 /* type is charset */ and a_cha.id = isnull(convert(tinyint, CollationPropertyFromID(c.collationid, 'sqlcharset')), convert(tinyint, ServerProperty('sqlcharset'))) -- make sure there's one and only one row selected for each column order by 2, 3, c.colorder ) tbl where IS_COMPUTED = 0

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  • SQL Server Reset Identity Increment for all tables

    - by DanSpd
    Basically I need to reset Identity Increment for all tables to its original. Here I tried some code, but it fails. http://pastebin.com/KSyvtK5b actual code from link: USE World00_Character GO -- Create a cursor to loop through the System Ojects and get each table name DECLARE TBL_CURSOR CURSOR -- Declare the SQL Statement to cursor through FOR ( SELECT Name FROM Sysobjects WHERE Type='U' ) -- Declare the @SQL Variable which will hold our dynamic sql DECLARE @SQL NVARCHAR(MAX); SET @SQL = ''; -- Declare the @TblName Variable which will hold the name of the current table DECLARE @TblName NVARCHAR(MAX); -- Open the Cursor OPEN TBL_CURSOR -- Setup the Fetch While that will loop through our cursor and set @TblName FETCH NEXT FROM TBL_CURSOR INTO @TblName -- Do this while we are not at the end of the record set WHILE (@@FETCH_STATUS <> -1) BEGIN -- Appeand this table's select count statement to our sql variable SET @SQL = @SQL + ' ( SELECT '''+@TblName+''' AS Table_Name,COUNT(*) AS Count FROM '+@TblName+' ) UNION'; -- Delete info EXEC('DBCC CHECKIDENT ('+@TblName+',RESEED,(SELECT IDENT_SEED('+@TblName+')))'); -- Pull the next record FETCH NEXT FROM TBL_CURSOR INTO @TblName -- End the Cursor Loop END -- Close and Clean Up the Cursor CLOSE TBL_CURSOR DEALLOCATE TBL_CURSOR -- Since we were adding the UNION at the end of each part, the last query will have -- an extra UNION. Lets trim it off. SET @SQL = LEFT(@SQL,LEN(@SQL)-6); -- Lets do an Order By. You can pick between Count and Table Name by picking which -- line to execute below. SET @SQL = @SQL + ' ORDER BY Count'; --SET @SQL = @SQL + ' ORDER BY Table_Name'; -- Now that our Dynamic SQL statement is ready, lets execute it. EXEC (@SQL); GO error message: Error: Msg 102, Level 15, State 1, Line 1 Incorrect syntax near '('. How can I either fix that SQL or reset identity for all tables to its original? Thank you

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  • What does SQL Server execution plan show?

    - by tim
    There is the following code: declare @XmlData xml = '<Locations> <Location rid="1"/> </Locations>' declare @LocationList table (RID char(32)); insert into @LocationList(RID) select Location.RID.value('@rid','CHAR(32)') from @XmlData.nodes('/Locations/Location') Location(RID) insert into @LocationList(RID) select A2RID from tblCdbA2 Table tblCdbA2 has 172810 rows. I have executed the batch in SSMS with “Include Actual execution plan “ and having Profiler running. The plan shows that the first query cost is 88% relative to the batch and the second is 12%, but the profiler says that durations of the first and second query are 17ms and 210 ms respectively, the overall time is 229, which is not 12 and 88.. What is going on? Is there a way how I can determine in the execution plan which is the slowest part of the query?

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  • How to select the value of the xsi:type attribute in SQL Server?

    - by kralizek
    Considering this xml document: DECLARE @X XML (DOCUMENT search.SearchParameters) = '< parameters xmlns="http://www.educations.com/Search/Parameters.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> < parameter xsi:type="category" categoryID="38" /> < /parameters>'; I'd like to access the value of the attribute "type". According to this blog post, the xsi:type attribute is special and can't be accessed by usal keywords/functions. How can I do it? PS: I tried with WITH XMLNAMESPACES ( 'http://www.educations.com/Search/Parameters.xsd' as p, 'http://www.w3.org/2001/XMLSchema-instance' as xsi ) SELECT @X.value('(/p:parameters/p:parameter/@xsi:type)[1]','nvarchar(max)') but it didn't work.

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  • Combining aggregate functions in an (ANSI) SQL statement

    - by morpheous
    I have aggregate functions foo(), foobar(), fredstats(), barneystats() I want to create a domain specific query language (DSQL) above my DB, to facilitate using using a domain language to query the DB. The 'language' comprises of boolean expressions (or more specifically SQL like criteria) which I then 'translate' back into pure (ANSI) SQL and send to the underlying Db. The following lines are examples of what the language statements will look like, and hopefully, it will help further clarify the concept: **Example 1** DQL statement: foobar('yellow') between 1 and 3 and fredstats('weight') > 42 Translation: fetch all rows in an underlying table where computed values for aggregate function foobar() is between 1 and 3 AND computed value for AGG FUNC fredstats() is greater than 42 **Example 2** DQL statement: fredstats('weight') < barneystats('weight') AND foo('fighter') in (9,10,11) AND foobar('green') <> 42 Translation: Fetch all rows where the specified criteria matches **Example 3** DQL statement: foobar('green') / foobar('red') <> 42 Translation: Fetch all rows where the specified criteria matches **Example 4** DQL statement: foobar('green') - foobar('red') >= 42 Translation: Fetch all rows where the specified criteria matches Given the following information: The table upon which the queries above are being executed is called 'tbl' table 'tbl' has the following structure (id int, name varchar(32), weight float) The result set returns only the tbl.id, tbl.name and the names of the aggregate functions as columns in the result set - so for example the foobar() AGG FUNC column will be called foobar in the result set. So for example, the first DQL query will return a result set with the following columns: id, name, foobar, fredstats Given the above, my questions then are: What would be the underlying SQL required for Example1 ? What would be the underlying SQL required for Example3 ? Given an algebraic equation comprising of AGGREGATE functions, Is there a way of generalizing the algorithm needed to generate the required ANSI SQL statement(s)? I am using PostgreSQL as the db, but I would prefer to use ANSI SQL wherever possible.

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  • Can I select a set of Data and directly insert that into a table in SQL?

    - by VJ
    Hi I guess we cannot do this but was just curious if I could do something like - Select * from Employee where EmployeeId=1 and then use the data in the above statement and directly insert into a table with just changing the employeeid...or just this way- insert into Employee ( Select * from Employee where EmployeeId=1) its probably stupid from my side...but I just felt the need to do this a lot of times...so just was curious if there was any way to achieve it..

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  • Appropriate SQL Server Permissions for Developers

    - by BJ Safdie
    After a couple of Google searches and a quick look at questions here, I cannot seem to find what I thought would be a cookbook answer for SQL Server permissions. As I often see in small shops, most developers here were using an admin account for SQL Server while developing. I want to set up roles and permissions that I can assign to developers so that we can get our jobs done, but also do so with the minimum permissions required. Can anyone offer advice on what SQL Server permissions to assign? Components: SQL Server 2008 SQL Server Reporting Services (SSRS) 2008 SQL Server Integration Services (SSIS) 2008 Platforms: Production Staging/QA Development/Integration We are running "Mixed Mode" security because of some legacy apps and networks, but are moving to Windows Auth. I am not sure if that really affects the role set up. I plan to set up access for Developers to Prod and Staging/QA DBs as Read-Only. However, I still want developers to retain the ability to run Profiling. We need Deployment accounts with higher privilege levels. We are currently trying to figure out exactly what privileges we need for SSIS package deployments. Within the Development Server, Developers need broad privileges. However, I am not sure that just making them all admins is really the best choice. It's hard to believe that no one has published a decent example script that sets up these kinds of roles with a good set of appropriate permissions for developers and deployers. We can probably figure this all out by locking things down and then adding permissions as we discover the need, but that will be way too big a PITA for everyone. Can anyone point me to, or provide, a good exemplar for permissions for these kinds of roles on these kinds of platforms?

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  • complicated sql query !!

    - by user507779
    LookupTable: userid, mobileid, startedate, enddate , owner 1 , 1 , 12-12-2000, 01-01-2001, asd 2 , 2 , 12-12-2000, 01-01-2001, dgs 3 , 3 , 02-01-2001, 01-01-2002, sdg 4 , 4 , 12-12-2000, 01-01-2001, sdg UserInfoTable: userid, firstname, lastname, address 1 , tom , do , test 2 , sam , smith , asds 3 , john , saw , asdasda 4 , peter , winston , near by Mobile: Mobileid, Name , number, imeinumber 1 , apple , 123 , 1111111 2 , nokia , 456 , 2222222 3 , vodafone , 789 , 3333333 CallLogs: id , Mobileid, callednumbers (string), date , totalduration 1 , 1 , 123,123,321 , 13-12-2000 , 30 2 , 1 , 123,123,321 , 14-12-2000 , 30 3 , 2 , 123,123,321 , 13-12-2000 , 30 4 , 2 , 123,123,321 , 14-12-2000 , 30 5 , 3 , 123,123,321 , 13-12-2000 , 30 6 , 3 , 123,123,321 , 14-12-2000 , 30 1 , 1 , 123,123,321 , 13-01-2002 , 30 2 , 1 , 123,123,321 , 14-01-2002 , 30 I want a query which will return me the following: firstname, lastname, mobile.name as mobilename, callednumbers (as concatinated strings from different rows in CallLogs table) and need it for year 2000 example: firstname, lastname, mobilename, callednumbers tom , do , apple , 123,123,321, 123,123,321 sam , smith , nokia , 123,123,321, 123,123,321 peter , winston , apple , 123,123,321, 123,123,321 any help will be highly appreciated...

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  • SQL Server: What locale should be used to format numeric values into SQL Server format?

    - by Ian Boyd
    It seems that SQL Server does not accept numbers formatted using any particular locale. It also doesn't support locales that have digits other than 0-9. For example, if the current locale is bengali, then the number 123456789 would come out as "?????????". And that's just the digits, nevermind what the digit grouping would be. But the same problem happens for numbers in the Invariant locale, which formats numbers as "123,456,789", which SQL Server won't accept. Is there a culture that matches what SQL Server accepts for numeric values? Or will i have to create some custom "sql server" culture, generating rules for that culture myself from lower level formatting routines? If i was in .NET (which i'm not), i could peruse the Standard Numeric Format strings. Of the format codes available in .NET: c (Currency): $123.46 d (Decimal): 1234 e (Exponentional): 1.052033E+003 f (Fixed Point): 1234.57 g (General): 123.456 n (Number): 1,234.57 p (Percent): 100.00 % r (Round Trip): 123456789.12345678 x (Hexadecimal): FF Only 6 accept all numeric types: c (Currency): $123.46 d (Decimal): 1234 e (Exponentional): 1.052033E+003 f (Fixed Point): 1234.57 g (General): 123.456 n (Number): 1,234.57 p (Percent): 100.00 % r (Round Trip): 123456789.12345678 x (Hexadecimal): FF And of those only 2 generate string representations, in the en-US locale anyway, that would be accepted by SQL Server: c (Currency): $123.46 d (Decimal): 1234 e (Exponentional): 1.052033E+003 f (Fixed Point): 1234.57 g (General): 123.456 n (Number): 1,234.57 p (Percent): 100.00 % r (Round Trip): 123456789.12345678 x (Hexadecimal): FF Of the remaining two, fixed is dependant on the locale's digits, rather than the number being used, leaving General g format: c (Currency): $123.46 d (Decimal): 1234 e (Exponentional): 1.052033E+003 f (Fixed Point): 1234.57 g (General): 123.456 n (Number): 1,234.57 p (Percent): 100.00 % r (Round Trip): 123456789.12345678 x (Hexadecimal): FF And i can't even say for certain that the g format won't add digit groupings (e.g. 1,234). Is there a locale that formats numbers in the way SQL Server expects? Is there a .NET format code? A java format code? A Delphi format code? A VB format code? A stdio format code? latin-numeral-digits

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  • Convert row to column using sql server 2008?

    - by jaykanth
    Table name is Looupvalue id Ptypefield Value 1 1 D 2 1 E 3 1 F 4 1 G 5 1 H 6 2 FL 7 2 IF 8 2 VVS1 9 2 VVS2 10 2 VS1 11 2 VS2 12 3 0.50 13 3 1.00 14 3 1.50 15 3 2.00 16 4 Marquise 17 4 Round 18 4 Pear 19 4 Radiant 20 4 Princess Lookupvalue table value convert roow to column depends on ptypefield Like id 1 id 2 id 3 id 4 1 D 6 fl 12 0.50 16 Marquise 2 E 7 If 13 1 17 Round.... 3 F 8 vvs2 14 1.5 4 G 9 vvs2 15 2 5 H 10 vs1 11 vs2 Thanks

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  • SQL Server 2000: Why is this query w/ variables so slow vs w/o variables?

    - by William DiStefano
    I can't figure out why this query would be so slow with variables versus without them. I read some where that I need to enable "Dynamic Parameters" but I cannot find where to do this. DECLARE @BeginDate AS DATETIME ,@EndDate AS DATETIME SELECT @BeginDate = '2010-05-20' ,@EndDate = '2010-05-25' -- Fix date range to include time values SET @BeginDate = CONVERT(VARCHAR(10), ISNULL(@BeginDate, '01/01/1990'), 101) + ' 00:00' SET @EndDate = CONVERT(VARCHAR(10), ISNULL(@EndDate, '12/31/2099'), 101) + ' 23:59' SELECT * FROM claim c WHERE (c.Received_Date BETWEEN @BeginDate AND @EndDate) --this is much slower --(c.Received_Date BETWEEN '2010-05-20' AND '2010-05-25') --this is much faster

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  • Sql Server Compact Edition version error.

    - by Tim
    I am working on .NET ClickOnce project that uses Sql Server 2005 Compact Edition to synchronize remote data through the use of a Merge replication. This application has been live for nearly a year now, and while we encounter occasional synchronization errors, things run quite smoothly for the most part. Yesterday a user reported an error that I have never seen before and have yet to find any information for online. Many users synchronize every night, and I haven't received error reports from anyone else, so this issue must be isolated to this particular user / client machine. Here are the full details of the error: -Error Code : 80004005 -Message : The message contains an unexpected replication operation code. The version of SQL Server Compact Edition Client Agent and SQL Server Compact Edition Server Agent should match. [ replication operation code = 31 ] -Minor Error : 28526 -Source : Microsoft SQL Server Compact Edition -Numeric Parameters : 31 One interesting thing that I've found is that his data does get synchronized to the server, so this error must occur after the upload completes. I have yet to determine whether or not changes at the server are still being downloaded to his subscription. Thinking that maybe there was some kind of version conflict going on, I had a remote desktop session with this user last night and uninstalled both the application and the SQL Server Compact Edition prerequisite, then reinstalled both from our ClickOnce publication site. I also removed his existing local database file so that upon synchronization, an entirely new subscription would be issued to him. Still his errors continue. I suppose the error may be somewhat general, and the text in the error message stating that the versions should match may not necessarily reflect the problem at hand. This site contains the only official reference to this error that I've been able to find, and it offers no more detail than the error message itself. Has anyone else encountered this error? Or at least know more about SQL Compact to have a better guess as to what is going on here? Any help / suggestions will be greatly appreciated!

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  • Please help me in creating a update query

    - by Rajesh Rolen- DotNet Developer
    I have got a table which contains 5 column and query requirements: update row no 8 (or id=8) set its column 2, column 3's value from id 9th column 2, column 3 value. means all value of column 2, 3 should be shifted to column 2, 3 of upper row (start from row no 8) and value of last row's 2, 3 will be null For example, with just 3 rows, the first row is untouched, the second to N-1th rows are shifted once, and the Nth row has nulls. id math science sst hindi english 1 11 12 13 14 15 2 21 22 23 24 25 3 31 32 33 34 35 The result of query of id=2 should be: id math science sst hindi english 1 11 12 13 14 15 2 31 32 23 24 25 //value of 3rd row (col 2,3) shifted to row 2 3 null null 33 34 35 This process should run for all rows whose id 2 Please help me to create this update query I am using MS sqlserver 2005

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  • insert number of days of year, months, days of month

    - by ml
    How can I insert in a database the number of days of the year and at the same time insert in the same record the month, day of the month, and the day of the week? This is my table: tabela/coluna.Dias_ano(registo 1...365) Year:=StrToInt(ano.Text); diasano.Text:= IntToStr( DaysInAYear(Year) ); diasAno| Mes |diames |dia semana | 1 | janeiro | 1 |Segunda | 2 | janeiro | 2 | Terça | ... 365 | Dezembro | 31 | Segunda

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