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  • SQL Server Replication Backup

    - by user18039
    Hi We have a new system that runs on SQL Server 2008 r2 64-bit. There is a primary on-line transactional processing (OLTP) database that accepts a high volume of updates from several thousand Point of Sale systems at stores around the country. In order to protect this vital function, I have decided to introduce a dedicated reporting database server - from which multiple users will run some pretty complex reports. I realise that there were a number of choices but I decided to use Transaction Replication as the mechanism for copying the data from the OLTP database to the new reporting database - one way replication. The solution has worked well in test. I'm now being asked what changes need to be made to the backup policy to cover the architectural changes. I have read pages such as MSDN:Strategies for Backing Up and Restoring Snapshot and Transactional Replication but I think these are overkill for my solution. In fact, my current thinking is that we simply need to continue making backups of the OLTP data and logs. If the Reporting db or any of the system replication (eg distribution) databases fail then it's no big deal - we can clear all down then re-create the replication. I realise that taking a complete snapshot of the OLTP would be time consuming (approx 5 hours) but I'd be more relaxed about this that trying to restore backups of the various data and log files in the correct sequence. My view is that the complex strategies set out in the MSDN article would only be the way to go for a more complex replication solution than I have, eg if there were multiple subscribers with 2-way replication. Would you agree? I'd be grateful for any advice. Many thanks, Rob.,

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  • SQL Profiler: Read/Write units

    - by Ian Boyd
    i've picked a query out of SQL Server Profiler that says it took 1,497 reads: EventClass: SQL:BatchCompleted TextData: SELECT Transactions.... CPU: 406 Reads: 1497 Writes: 0 Duration: 406 So i've taken this query into Query Analyzer, so i may try to reduce the number of reads. But when i turn on SET STATISTICS IO ON to see the IO activity for the query, i get nowhere close to one thousand reads: Table Scan Count Logical Reads =================== ========== ============= FintracTransactions 4 20 LCDs 2 4 LCTs 2 4 FintracTransacti... 0 0 Users 1 2 MALs 0 0 Patrons 0 0 Shifts 1 2 Cages 1 1 Windows 1 3 Logins 1 3 Sessions 1 6 Transactions 1 7 Which if i do my math right, there is a total of 51 reads; not 1,497. So i assume Reads in SQL Profiler is an arbitrary metric. Does anyone know the conversion of SQL Server Profiler Reads to IO Reads? See also SQL Profiler CPU / duration unit Query Analyzer VS. Query Profiler Reads, Writes, and Duration Discrepencies

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  • How can I show SQL Server LOGS (2005)

    - by Marcin Rybacki
    Hello, I'm trying to track the error thrown by SQL Server 2005. The problem is SQL Server reports it in my native language so it's hard for me to google it. I think that the core issue would be avialable in English in SQL Server LOGS. I'm running SQL Server Management Studio Express, going to "Management" node, and then SQL Server Logs. I can see the list of logs but I cannot enter them, the only available option in context menu is Refresh. Could you help me to show the contents of those logs?

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  • Seeking a GUI auto-format feature for T-SQL

    - by dvanaria
    Is there a freely available GUI tool that will allow interaction with Microsoft SQL Server (via T-SQL) that provides an auto-format feature? I constantly find myself writing queries in SQL Query Analyzer (Microsoft’s standard GUI tool for T-SQL) and cutting/pasting the whole thing into SQLyog (a GUI tool for MySQL), where I can press F12 and have it reformatted into an easily readable, industry standard format. I then cut/paste this back into Query Analyzer to execute. I do this all the time at work and haven’t been able to find an alternative. I realize that SQLyog is no longer free software, but what I’m looking for is a specific alternative to a MS SQL Server interface (with auto-formatting). Thanks in advance for your help.

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  • Migrating shape sql to something equally powerful

    - by daRoBBie
    Hi, we are currently investigating a migration of an application that doesn't meet company standards. The application is built using VB6 and Shape SQL/Access. The application has about 120 reports by storing Shape SQL strings in a database which the user can modify using a wizard. Shape sql is not allowed at this company. We have investigated plain SQL, Linq, Entity Framework as alternatives... but all result in more complex solutions. Does anyone have another suggestion? Update: Shape SQL is an ADO command to get hierarchical datasets, for further info: http://support.microsoft.com/kb/189657

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  • Cannot connect to sql server

    - by Tony
    Hi I cannot connect to Sql server remotely from management studio , It is corrrect User name and password, but how to enable remote connections to a sql server? what is other chances? Cannot connect to xxxx.xxxx.xxxx.xxxx =================================== A network-related or instance-specific error occurred while establishing a connection to SQL Server. The server was not found or was not accessible. Verify that the instance name is correct and that SQL Server is configured to allow remote connections. (provider: Named Pipes Provider, error: 40 - Could not open a connection to SQL Server) (.Net SqlClient Data Provider) thanks

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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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  • 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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  • The blocking nature of aggregates

    - by Rob Farley
    I wrote a post recently about how query tuning isn’t just about how quickly the query runs – that if you have something (such as SSIS) that is consuming your data (and probably introducing a bottleneck), then it might be more important to have a query which focuses on getting the first bit of data out. You can read that post here.  In particular, we looked at two operators that could be used to ensure that a query returns only Distinct rows. and The Sort operator pulls in all the data, sorts it (discarding duplicates), and then pushes out the remaining rows. The Hash Match operator performs a Hashing function on each row as it comes in, and then looks to see if it’s created a Hash it’s seen before. If not, it pushes the row out. The Sort method is quicker, but has to wait until it’s gathered all the data before it can do the sort, and therefore blocks the data flow. But that was my last post. This one’s a bit different. This post is going to look at how Aggregate functions work, which ties nicely into this month’s T-SQL Tuesday. I’ve frequently explained about the fact that DISTINCT and GROUP BY are essentially the same function, although DISTINCT is the poorer cousin because you have less control over it, and you can’t apply aggregate functions. Just like the operators used for Distinct, there are different flavours of Aggregate operators – coming in blocking and non-blocking varieties. The example I like to use to explain this is a pile of playing cards. If I’m handed a pile of cards and asked to count how many cards there are in each suit, it’s going to help if the cards are already ordered. Suppose I’m playing a game of Bridge, I can easily glance at my hand and count how many there are in each suit, because I keep the pile of cards in order. Moving from left to right, I could tell you I have four Hearts in my hand, even before I’ve got to the end. By telling you that I have four Hearts as soon as I know, I demonstrate the principle of a non-blocking operation. This is known as a Stream Aggregate operation. It requires input which is sorted by whichever columns the grouping is on, and it will release a row as soon as the group changes – when I encounter a Spade, I know I don’t have any more Hearts in my hand. Alternatively, if the pile of cards are not sorted, I won’t know how many Hearts I have until I’ve looked through all the cards. In fact, to count them, I basically need to put them into little piles, and when I’ve finished making all those piles, I can count how many there are in each. Because I don’t know any of the final numbers until I’ve seen all the cards, this is blocking. This performs the aggregate function using a Hash Match. Observant readers will remember this from my Distinct example. You might remember that my earlier Hash Match operation – used for Distinct Flow – wasn’t blocking. But this one is. They’re essentially doing a similar operation, applying a Hash function to some data and seeing if the set of values have been seen before, but before, it needs more information than the mere existence of a new set of values, it needs to consider how many of them there are. A lot is dependent here on whether the data coming out of the source is sorted or not, and this is largely determined by the indexes that are being used. If you look in the Properties of an Index Scan, you’ll be able to see whether the order of the data is required by the plan. A property called Ordered will demonstrate this. In this particular example, the second plan is significantly faster, but is dependent on having ordered data. In fact, if I force a Stream Aggregate on unordered data (which I’m doing by telling it to use a different index), a Sort operation is needed, which makes my plan a lot slower. This is all very straight-forward stuff, and information that most people are fully aware of. I’m sure you’ve all read my good friend Paul White (@sql_kiwi)’s post on how the Query Optimizer chooses which type of aggregate function to apply. But let’s take a look at SQL Server Integration Services. SSIS gives us a Aggregate transformation for use in Data Flow Tasks, but it’s described as Blocking. The definitive article on Performance Tuning SSIS uses Sort and Aggregate as examples of Blocking Transformations. I’ve just shown you that Aggregate operations used by the Query Optimizer are not always blocking, but that the SSIS Aggregate component is an example of a blocking transformation. But is it always the case? After all, there are plenty of SSIS Performance Tuning talks out there that describe the value of sorted data in Data Flow Tasks, describing the IsSorted property that can be set through the Advanced Editor of your Source component. And so I set about testing the Aggregate transformation in SSIS, to prove for sure whether providing Sorted data would let the Aggregate transform behave like a Stream Aggregate. (Of course, I knew the answer already, but it helps to be able to demonstrate these things). A query that will produce a million rows in order was in order. Let me rephrase. I used a query which produced the numbers from 1 to 1000000, in a single field, ordered. The IsSorted flag was set on the source output, with the only column as SortKey 1. Performing an Aggregate function over this (counting the number of rows per distinct number) should produce an additional column with 1 in it. If this were being done in T-SQL, the ordered data would allow a Stream Aggregate to be used. In fact, if the Query Optimizer saw that the field had a Unique Index on it, it would be able to skip the Aggregate function completely, and just insert the value 1. This is a shortcut I wouldn’t be expecting from SSIS, but certainly the Stream behaviour would be nice. Unfortunately, it’s not the case. As you can see from the screenshots above, the data is pouring into the Aggregate function, and not being released until all million rows have been seen. It’s not doing a Stream Aggregate at all. This is expected behaviour. (I put that in bold, because I want you to realise this.) An SSIS transformation is a piece of code that runs. It’s a physical operation. When you write T-SQL and ask for an aggregation to be done, it’s a logical operation. The physical operation is either a Stream Aggregate or a Hash Match. In SSIS, you’re telling the system that you want a generic Aggregation, that will have to work with whatever data is passed in. I’m not saying that it wouldn’t be possible to make a sometimes-blocking aggregation component in SSIS. A Custom Component could be created which could detect whether the SortKeys columns of the input matched the Grouping columns of the Aggregation, and either call the blocking code or the non-blocking code as appropriate. One day I’ll make one of those, and publish it on my blog. I’ve done it before with a Script Component, but as Script components are single-use, I was able to handle the data knowing everything about my data flow already. As per my previous post – there are a lot of aspects in which tuning SSIS and tuning execution plans use similar concepts. In both situations, it really helps to have a feel for what’s going on behind the scenes. Considering whether an operation is blocking or not is extremely relevant to performance, and that it’s not always obvious from the surface. In a future post, I’ll show the impact of blocking v non-blocking and synchronous v asynchronous components in SSIS, using some of LobsterPot’s Script Components and Custom Components as examples. When I get that sorted, I’ll make a Stream Aggregate component available for download.

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  • The blocking nature of aggregates

    - by Rob Farley
    I wrote a post recently about how query tuning isn’t just about how quickly the query runs – that if you have something (such as SSIS) that is consuming your data (and probably introducing a bottleneck), then it might be more important to have a query which focuses on getting the first bit of data out. You can read that post here.  In particular, we looked at two operators that could be used to ensure that a query returns only Distinct rows. and The Sort operator pulls in all the data, sorts it (discarding duplicates), and then pushes out the remaining rows. The Hash Match operator performs a Hashing function on each row as it comes in, and then looks to see if it’s created a Hash it’s seen before. If not, it pushes the row out. The Sort method is quicker, but has to wait until it’s gathered all the data before it can do the sort, and therefore blocks the data flow. But that was my last post. This one’s a bit different. This post is going to look at how Aggregate functions work, which ties nicely into this month’s T-SQL Tuesday. I’ve frequently explained about the fact that DISTINCT and GROUP BY are essentially the same function, although DISTINCT is the poorer cousin because you have less control over it, and you can’t apply aggregate functions. Just like the operators used for Distinct, there are different flavours of Aggregate operators – coming in blocking and non-blocking varieties. The example I like to use to explain this is a pile of playing cards. If I’m handed a pile of cards and asked to count how many cards there are in each suit, it’s going to help if the cards are already ordered. Suppose I’m playing a game of Bridge, I can easily glance at my hand and count how many there are in each suit, because I keep the pile of cards in order. Moving from left to right, I could tell you I have four Hearts in my hand, even before I’ve got to the end. By telling you that I have four Hearts as soon as I know, I demonstrate the principle of a non-blocking operation. This is known as a Stream Aggregate operation. It requires input which is sorted by whichever columns the grouping is on, and it will release a row as soon as the group changes – when I encounter a Spade, I know I don’t have any more Hearts in my hand. Alternatively, if the pile of cards are not sorted, I won’t know how many Hearts I have until I’ve looked through all the cards. In fact, to count them, I basically need to put them into little piles, and when I’ve finished making all those piles, I can count how many there are in each. Because I don’t know any of the final numbers until I’ve seen all the cards, this is blocking. This performs the aggregate function using a Hash Match. Observant readers will remember this from my Distinct example. You might remember that my earlier Hash Match operation – used for Distinct Flow – wasn’t blocking. But this one is. They’re essentially doing a similar operation, applying a Hash function to some data and seeing if the set of values have been seen before, but before, it needs more information than the mere existence of a new set of values, it needs to consider how many of them there are. A lot is dependent here on whether the data coming out of the source is sorted or not, and this is largely determined by the indexes that are being used. If you look in the Properties of an Index Scan, you’ll be able to see whether the order of the data is required by the plan. A property called Ordered will demonstrate this. In this particular example, the second plan is significantly faster, but is dependent on having ordered data. In fact, if I force a Stream Aggregate on unordered data (which I’m doing by telling it to use a different index), a Sort operation is needed, which makes my plan a lot slower. This is all very straight-forward stuff, and information that most people are fully aware of. I’m sure you’ve all read my good friend Paul White (@sql_kiwi)’s post on how the Query Optimizer chooses which type of aggregate function to apply. But let’s take a look at SQL Server Integration Services. SSIS gives us a Aggregate transformation for use in Data Flow Tasks, but it’s described as Blocking. The definitive article on Performance Tuning SSIS uses Sort and Aggregate as examples of Blocking Transformations. I’ve just shown you that Aggregate operations used by the Query Optimizer are not always blocking, but that the SSIS Aggregate component is an example of a blocking transformation. But is it always the case? After all, there are plenty of SSIS Performance Tuning talks out there that describe the value of sorted data in Data Flow Tasks, describing the IsSorted property that can be set through the Advanced Editor of your Source component. And so I set about testing the Aggregate transformation in SSIS, to prove for sure whether providing Sorted data would let the Aggregate transform behave like a Stream Aggregate. (Of course, I knew the answer already, but it helps to be able to demonstrate these things). A query that will produce a million rows in order was in order. Let me rephrase. I used a query which produced the numbers from 1 to 1000000, in a single field, ordered. The IsSorted flag was set on the source output, with the only column as SortKey 1. Performing an Aggregate function over this (counting the number of rows per distinct number) should produce an additional column with 1 in it. If this were being done in T-SQL, the ordered data would allow a Stream Aggregate to be used. In fact, if the Query Optimizer saw that the field had a Unique Index on it, it would be able to skip the Aggregate function completely, and just insert the value 1. This is a shortcut I wouldn’t be expecting from SSIS, but certainly the Stream behaviour would be nice. Unfortunately, it’s not the case. As you can see from the screenshots above, the data is pouring into the Aggregate function, and not being released until all million rows have been seen. It’s not doing a Stream Aggregate at all. This is expected behaviour. (I put that in bold, because I want you to realise this.) An SSIS transformation is a piece of code that runs. It’s a physical operation. When you write T-SQL and ask for an aggregation to be done, it’s a logical operation. The physical operation is either a Stream Aggregate or a Hash Match. In SSIS, you’re telling the system that you want a generic Aggregation, that will have to work with whatever data is passed in. I’m not saying that it wouldn’t be possible to make a sometimes-blocking aggregation component in SSIS. A Custom Component could be created which could detect whether the SortKeys columns of the input matched the Grouping columns of the Aggregation, and either call the blocking code or the non-blocking code as appropriate. One day I’ll make one of those, and publish it on my blog. I’ve done it before with a Script Component, but as Script components are single-use, I was able to handle the data knowing everything about my data flow already. As per my previous post – there are a lot of aspects in which tuning SSIS and tuning execution plans use similar concepts. In both situations, it really helps to have a feel for what’s going on behind the scenes. Considering whether an operation is blocking or not is extremely relevant to performance, and that it’s not always obvious from the surface. In a future post, I’ll show the impact of blocking v non-blocking and synchronous v asynchronous components in SSIS, using some of LobsterPot’s Script Components and Custom Components as examples. When I get that sorted, I’ll make a Stream Aggregate component available for download.

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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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  • Function to Calculate Median in Sql Server

    - by Yaakov Ellis
    According to MSDN, Median is not available as an aggregate function in Transact-Sql. However, I would like to find out whether it is possible to create this functionality (using the Create Aggregate function, user defined function, or some other method). What would be the best way (if possible) to do this - allow for the calculation of a median value (assuming a numeric data type) in an aggregate query?

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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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  • Selecting a user-defined scalar function that takes as a parameter another field

    - by ghills
    I have a table a with a list of id's, and a user-defined function foo(id) that takes the id and returns a VARCHAR(20). What I am trying to do is: SELECT id, foo(id) AS 'text field' FROM a However, instead of calling the function for each ID number, like I desired, the text comes back the same for every row. I have tested the foo() function manually with the returned ID's and it does not have that problem, so I realize I must not understand something about the evaluation of the query.

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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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  • 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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  • Select from table and function

    - by David Oneill
    I have a function that returns a table. The returned table contains (among other things) a store_id. I can get the store_id for a particular transaction_id and city_id as follows: select store_id from table(f_get_store(city_id, transaction_id)); I have another table that contains a list of transactions (which includes transaction_id and city_id). I want a query that returns store_id, city_id, transaction_id for every entry in the transaction table. My first guess was: select f_get_store(city_id, transaction_id), city_id, transaction_id from table; (simplified away the unimportant details) However, this yields an "ORA-00932: inconsistent datatypes" error. How do I need to structure this query? (I'm using Oracle)

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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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  • 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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  • 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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