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  • Mimicking Network Databases in SQL

    Unlike the hierarchical database model, which created a tree structure in which to store data, the network model formed a generalized 'graph' structure that describes the relationships between the nodes. Nowadays, the relational model is used to solve the problems for which the network model was created, but the old 'network' solutions are still being implemented by programmers, even when they are less effective.

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  • i want to search in sql server with must have parameter in one colunm

    - by sherif4csharp
    hello i am usning c# and ms SQL server 2008 i have table like this id | propertyTypeId | FinishingQualityId | title | Description | features 1 1 2 prop1 propDEsc1 1,3,5,7 2 2 3 prop2 propDEsc2 1,3 3 6 5 prop3 propDEsc3 1 4 5 4 prop4 propDEsc4 3,5 5 4 6 prop5 propDEsc5 5,7 6 4 6 prop6 propDEsc6 and here is my stored code (search in the same table) create stored procdures propertySearch as @Id int = null, @pageSize float , @pageIndex int, @totalpageCount int output, @title nvarchar(150) =null , @propertyTypeid int = null , @finishingqualityid int = null , @features nvarchar(max) = null , -- this parameter send like 1,3 ( for example) begin select row_number () as TempId over( order by id) , id,title,description,propertyTypeId,propertyType.name,finishingQualityId,finishingQuality.Name,freatures into #TempTable from property join propertyType on propertyType.id= property.propertyTypeId join finishingQuality on finishingQuality.id = property.finishingQualityId where property.id = isnull(@id,property.id ) and proprty.PropertyTypeId= isnull(@propertyTypeid,property.propertyTypeId) select totalpageconunt = ((select count(*) from #TempTable )/@pageSize ) select * from #TempTable where tempid between (@pageindex-1)*@pagesize +1 and (@pageindex*@pageSize) end go i can't here filter the table by feature i sent. this table has to many rows i want to add to this stored code to filter data for example when i send 1,3 in features parameter i want to return row number one and two in the example table i write in this post (want to get the data from table must have the feature I send) many thanks for every one helped me and will help

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  • Return if remote stored procedure fails

    - by njk
    I am in the process of creating a stored procedure. This stored procedure runs local as well as external stored procedures. For simplicity, I'll call the local server [LOCAL] and the remote server [REMOTE]. USE [LOCAL] GO SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO ALTER PROCEDURE [dbo].[monthlyRollUp] AS SET NOCOUNT, XACT_ABORT ON BEGIN TRY EXEC [REOMTE].[DB].[table].[sp] --This transaction should only begin if the remote procedure does not fail BEGIN TRAN EXEC [LOCAL].[DB].[table].[sp1] COMMIT BEGIN TRAN EXEC [LOCAL].[DB].[table].[sp2] COMMIT BEGIN TRAN EXEC [LOCAL].[DB].[table].[sp3] COMMIT BEGIN TRAN EXEC [LOCAL].[DB].[table].[sp4] COMMIT END TRY BEGIN CATCH -- Insert error into log table INSERT INTO [dbo].[log_table] (stamp, errorNumber, errorSeverity, errorState, errorProcedure, errorLine, errorMessage) SELECT GETDATE(), ERROR_NUMBER(), ERROR_SEVERITY(), ERROR_STATE(), ERROR_PROCEDURE(), ERROR_LINE(), ERROR_MESSAGE() END CATCH GO When using a transaction on the remote procedure, it throws this error: OLE DB provider ... returned message "The partner transaction manager has disabled its support for remote/network transactions.". I get that I'm unable to run a transaction locally for a remote procedure. How can I ensure that the this procedure will exit and rollback if any part of the procedure fails?

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  • SQL Server performance issue.

    - by Jit
    Hi Friends, I have been trying to analyze performance issue with SQL Server 2005. We have 30 jobs, one for each databases (30 databases, one per each client). The jobs run at early morning at an interval of 5 minutes. When I run the job individually for testing, for most of the databases it finishes in 7 to 9 minutes. But when these jobs run at early morning, I see few jobs taking 2 to 3 hours to finish and the same takes few minutes as mentioned above if ran independently. We dont have any other job scheduled during that time, other than these 30 jobs. If we restart the server then for 2 or so days all the jobs finishes in few minutes, but over the period of time (from 3rd day suddenly), few jobs start taking hours to finish. What could be the possible reason of performance degradation over the period of time? I verified all the SPs and we uses temp tables and I made sure none of the temp table is left without dropping at the end of SP. Let me know what are the possible reasons for such behavior. Appreciate your time and help. Thanks

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  • Five stars of open data - example and review

    - by Joe
    (there may be a more suited SE site for this question so feel free to shift) I have some data I'd like to make open to the public - It's synatesis of some related data retrived from freedom of infomation requests over the last year. The data itself is at http://www.cs.rhul.ac.uk/home/joseph/domesday/Domesday-Scotland.csv or for fans of Excel, at http://www.cs.rhul.ac.uk/home/joseph/domesday/Domesday-Scotland.xlsx . It's no more than a table with about five columns. I'd like to make this properly open data, so I was looking at the 5 star deployment scheme for Open Data. Much of which is fine but I'm confused towards the end and I could do with an explenation from people who know the answers. So to get achieve the star levels I need: "make your stuff available on the Web (whatever format) under an open license" trival - all I have to do is put the notes up on the page that will give the provance of the data. "make it available as structured data (e.g., Excel instead of image scan of a table)"… done… "use non-proprietary formats (e.g., CSV instead of Excel)" - done… "use URIs to identify things, so that people can point at your stuff" - this is where I start to get a bit hazy - does this mean there should be an URI for every line in the table? "link your data to other data to provide context" - this isn't massively clear to me - does this mean to give the provence of the data? One column of the data I've put out is a link to where the data came from - is that the sort of thing we're looking at? Any and all information and answers welcome… EDIT - or if anyone wants to recommend a place SE or other place to ask the question - that would be cool...

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  • Tools for displaying a multidimensional data table?

    - by ShreevatsaR
    [Apologies if this sort of question is off-topic for SuperUser. Please redirect to the right place if so.] There is a 3-dimensional array of values. (That is, instead of a table/2-dimensional array with values in a grid, the values can be thought of in a cube instead.) Is there a way to display this "cube" interactively, ideally on a webpage? Specifically, given the data, it would work something like this: the user selects two of the 3 variables. He then sees a "stack" of tables, one for each value of the third variable (cross-sections, in other words). By selecting the appropriate table from the stack, he can see the (i,j,k) value he wants. The "technology" for displaying such a thing (stacked tables, rotation, etc.) already exists, so this seems the sort of thing that someone ought to have written already. To be clear: I don't need sophisticated graphics necessarily, just the ability to select from cross-sections of variables. But I have no experience with (say, for displaying on a webpage) what web gadgets exist, so I'm clueless how to even search for one. (Google searches like "multidimensional data visualization" didn't throw up anything useful. Google Spreadsheets can do a few kinds of charts which can be embedded on a webpage, but I cannot tell if this is one of them.) [I can imagine how it ought to work for higher dimensions. For four-dimensions, instead of selecting just a stack, you'd first select an (i,j) from an "outer table", which would show all (k,l) values for that (i,j). For higher dimensions, inductively: you select (i,j), and then repeat what you'd do with 2 fewer dimensions.] So has this been written? Is this easy to write? Where ought one to look for such a thing?

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  • Login failed for user 'DOMAIN\MACHINENAME$'

    - by sah302
    I know this is almost duplicate of : http://stackoverflow.com/questions/1269706/the-error-login-failed-for-user-nt-authority-iusr-in-asp-net-and-sql-server-2 and http://stackoverflow.com/questions/97594/login-failed-for-user-username-system-data-sqlclient-sqlexception-with-linq-i but some things don't add up compared to other appliations on my server and I am not sure why. Boxes being used: Web Box SQL Box SQL Test Box My Application: I've got aASP.NET Web Application, which references a class library that uses LINQ-to-SQL. Connection string set up properly in the class library. As per http://stackoverflow.com/questions/97594/login-failed-for-user-username-system-data-sqlclient-sqlexception-with-linq-i I also added this connection string to the Web Application. The connection string uses SQL credentials as so (in both web app and class library): <add name="Namespace.My.MySettings.ConnectionStringProduction" connectionString="Data Source=(SQL Test Box);Initial Catalog=(db name);Persist Security Info=True;User ID=ID;Password=Password" providerName="System.Data.SqlClient" /> This connection confirmed as working via adding it to server explorer. This is the connection string my .dbml file is using. The problem: I get the following error: System.Data.SqlClient.SqlException: Login failed for user 'DOMAIN\MACHINENAME$'. Now referencing this http://stackoverflow.com/questions/1269706/the-error-login-failed-for-user-nt-authority-iusr-in-asp-net-and-sql-server-2 it says that's really the local network service and using any other non-domain name will not work. But I am confused because I've checked both SQL Box and SQL Test Box SQL Management Studio and both have NT AUTHORITY/NETWORK SERVICE under Security - Logins, at the database level, that isn't listed under Security - Users, but at the database level Security - Users I have the user displayed in the connection string. At NTFS level on web server, the permissions have NETWORK SERVICE has full control. The reason why I am confused is because I have many other web applications on my Web Server, that reference databases on both SQL Box and SQL Test Box, and they all work. But I cannot find a difference between them and my current application, other than I am using a class library. Will that matter? Checking NTFS permissions, setup of Security Logins at the server and databases levels, connection string and method of connecting (SQL Server credentials), and IIS application pool and other folder options, are all the same. Why do these applications work without adding the machinename$ to the permissions of either of my SQL boxes? But that is what the one link is telling me to do to fix this problem.

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  • Getting results in a result set from dynamic SQL in Oracle

    - by msorens
    This question is similar to a couple others I have found on StackOverflow, but the differences are signficant enough to me to warrant a new question, so here it is: I want to obtain a result set from dynamic SQL in Oracle and then display it as a result set in a SqlDeveloper-like tool, just as if I had executed the dynamic SQL statement directly. This is straightforward in SQL Server, so to be concrete, here is an example from SQL Server that returns a result set in SQL Server Management Studio or Query Explorer: EXEC sp_executesql N'select * from countries' Or more properly: DECLARE @stmt nvarchar(100) SET @stmt = N'select * from countries' EXEC sp_executesql @stmt The question "How to return a resultset / cursor from a Oracle PL/SQL anonymous block that executes Dynamic SQL?" addresses the first half of the problem--executing dynamic SQL into a cursor. The question "How to make Oracle procedure return result sets" provides a similar answer. Web search has revealed many variations of the same theme, all addressing just the first half of my question. I found this post explaining how to do it in SqlDeveloper, but that uses a bit of functionality of SqlDeveloper. I am actually using a custom query tool so I need the solution to be self-contained in the SQL code. This custom query tool similarly does not have the capability to show output of print (dbms_output.put_line) statements; it only displays result sets. Here is yet one more possible avenue using 'execute immediate...bulk collect', but this example again renders the results with a loop of dbms_output.put_line statements. This link attempts to address the topic but the question never quite got answered there either. Assuming this is possible, I will add one more condition: I would like to do this without having to define a function or procedure (due to limited DB permissions). That is, I would like to execute a self-contained PL/SQL block containing dynamic SQL and return a result set in SqlDeveloper or a similar tool. So to summarize: I want to execute an arbitrary SQL statement (hence dynamic SQL). The platform is Oracle. The solution must be a PL/SQL block with no procedures or functions. The output must be generated as a canonical result set; no print statements. The output must render as a result set in SqlDeveloper without using any SqlDeveloper special functionality. Any suggestions?

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  • Using a "white list" for extracting terms for Text Mining, Part 2

    - by [email protected]
    In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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  • Workaround for datadude deployment bug - NullReferenceException

    - by jamiet
    I have come across a bug in Visual Studio 2010 Database Projects (aka datadude aka DPro aka Visual Studio Database Development Tools aka Visual Studio Team Edition for Database Professionals aka Juneau aka SQL Server Data Tools) that other people may encounter so, for the purposes of googling, I'm writing this blog post about it. Through my own googling I discovered that a Connect bug had already been raised about it (VS2010 Database project deploy - “SqlDeployTask” task failed unexpectedly, NullReferenceException), and coincidentally enough it was raised by my former colleague Tom Hunter (whom I have mentioned here before as the superhuman Tom Hunter) although it has not (at this time) received a reply from Microsoft. Tom provided a repro, namely that this syntactically valid function definition: CREATE FUNCTION [dbo].[Function1]()RETURNS TABLEASRETURN (    WITH cte AS (    SELECT 1 AS [c1]    FROM [$(Database3)].[dbo].[Table1]   )   SELECT 1 AS [c1]   FROM cte) would produce this nasty unhelpful error upon deployment: C:\Program Files (x86)\MSBuild\Microsoft\VisualStudio\v10.0\TeamData\Microsoft.Data.Schema.TSqlTasks.targets(120,5): Error MSB4018: The "SqlDeployTask" task failed unexpectedly.System.NullReferenceException: Object reference not set to an instance of an object.   at Microsoft.Data.Schema.Sql.SchemaModel.SqlModelComparerBase.VariableSubstitution(SqlScriptProperty propertyValue, IDictionary`2 variables, Boolean& isChanged)   at Microsoft.Data.Schema.Sql.SchemaModel.SqlModelComparerBase.ArePropertiesEqual(IModelElement source, IModelElement target, ModelPropertyClass propertyClass, ModelComparerConfiguration configuration)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareProperties(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareChildren(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareParentElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes, Boolean isComposing)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareChildren(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareParentElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes, Boolean isComposing)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareAllElementsForOneType(ModelElementClass type, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean compareOrphanedElements)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareStore(ModelStore source, ModelStore target, ModelComparerConfiguration configuration)   at Microsoft.Data.Schema.Build.SchemaDeployment.CompareModels()   at Microsoft.Data.Schema.Build.SchemaDeployment.PrepareBuildPlan()   at Microsoft.Data.Schema.Build.SchemaDeployment.Execute(Boolean executeDeployment)   at Microsoft.Data.Schema.Build.SchemaDeployment.Execute()   at Microsoft.Data.Schema.Tasks.DBDeployTask.Execute()   at Microsoft.Build.BackEnd.TaskExecutionHost.Microsoft.Build.BackEnd.ITaskExecutionHost.Execute()   at Microsoft.Build.BackEnd.TaskBuilder.ExecuteInstantiatedTask(ITaskExecutionHost taskExecutionHost, TaskLoggingContext taskLoggingContext, TaskHost taskHost, ItemBucket bucket, TaskExecutionMode howToExecuteTask, Boolean& taskResult)   Done executing task "SqlDeployTask" -- FAILED.  Done building target "DspDeploy" in project "Lloyds.UKTax.DB.UKtax.dbproj" -- FAILED. Done executing task "CallTarget" -- FAILED.Done building target "DBDeploy" in project It turns out there are a certain set of circumstances that need to be met for this error to occur: The object being deployed is an inline function  (may also exist for multistatement and scalar functions - I haven't tested that) That object includes SQLCMD variable references The object has already been deployed successfully Just to reiterate that last bullet point, the error does not occur when you deploy the function for the first time, only on the subsequent deployment.   Luckily I have a direct line into a guy on the development team so I fired off an email on Friday evening and today (Monday) I received a reply back telling me that there is a simple fix, one simply has to remove the parentheses that wrap the SQL statement. So, in the case of Tom's repro, the function definition simpy has to be changed to: CREATE FUNCTION [dbo].[Function1]()RETURNS TABLEASRETURN --(    WITH cte AS (    SELECT 1 AS [c1]    FROM [$(Database3)].[dbo].[Table1]   )   SELECT 1 AS [c1]   FROM cte--) I have commented out the offending parentheses rather than removing them just to emphasize the point. Thereafter the function will deploy fine. I tested this out on my own project this morning and can confirm that this fix does indeed work.   I have been told that the bug CAN be reproduced in the Release Candidate (RC) 0 build of SQL Server Data Tools in SQL Server 2010 so am hoping that a fix makes it in for the Release-To-Manufacturing (RTM) build. Hope this helps @jamiet

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  • Restoring an Ubuntu Server using ZFS RAIDZ for data

    - by andybjackson
    Having become disillusioned with hacking Buffalo NAS devices, I've decided to roll my own Home server. After some research, I have settled on an HP Proliant Microserver with Ubuntu Server and ZFS (OS on 1 Ext4 disk, Data on 3 RAIDZ disks). As Joel Spolsky and Geoff Atwood say with regards to backup, I can't rest until I have done a restore in all of the failure scenarios that I am seeking to protect against. Q: How to configure Ubuntu Server to recognise a pre-existing RAIDZ array? Clearly if one of the data disks die - then that is a resilvering scenario, which is well documented. If two of the data disks die, then I am into regular backup/restore land. If the OS dies and I can restore, also an easy scenario. But if the OS dies and I can't restore, then I need to recreate an Ubuntu server. But how do I get this to recognise my RAID-Z array? Is the necessary configuration information stored within and across the RAIZ array and simply need to be found (if so, how)? Or does it reside on the OS ext4 disk (in which case how do I recreate it)?

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  • Restoring an Ubuntu Server using ZFS RAID-Z for data

    - by andybjackson
    Having become disillusioned with hacking Buffalo NAS devices, I've decided to roll my own Home server. After some research, I have settled on an HP Proliant Microserver with Ubuntu Server and ZFS (OS on 1 Ext4 disk, Data on 3 RAID-Z disks). As Joel Spolsky and Geoff Atwood say with regards to backup, I can't rest until I have done a restore in all of the failure scenarios that I am seeking to protect against. Q: How to configure Ubuntu Server to recognise a pre-existing RAID-Z array? Clearly if one of the data disks die - then that is a resilvering scenario, which is well documented. If two of the data disks die, then I am into regular backup/restore land. If the OS dies and I can restore, also an easy scenario. But if the OS dies and I can't restore, then I need to recreate an Ubuntu server. But how do I get this to recognise my RAID-Z array? Is the necessary configuration information stored within and across the RAID-Z array and simply need to be found (if so, how)? Or does it reside on the OS ext4 disk (in which case how do I recreate it)?

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  • Retrieving varbinary output from a query in sql server into classic ASP

    - by user303526
    Hi, I'm trying to retrieve a varbinary output value from a query running on SQL Server 2005 into Classic ASP. The ASP execution just fails when it comes to part of code that is simply taking a varbinary output into a string. So I guess we gotta handle it some other way. Actually, I'm trying to set (sp_setapprole) and unset (sp_unsetapprole) application roles for a database connection. First I'd set the approle, then I'd run my required queries and finally unset the approle. During unsetting is when I need the cookie (varbinary) value in my ASP code so that I can create a query like 'exec sp_unsetapprole @cookie'. Well at this stage, I don't have the cookie (varbinary) value. The reason I'm doing this is I used to get 'sp_setapprole was not invoked correctly' error when trying to set app roles. I've disabled pooling by appending 'OLE DB Services = -2;Pooling=False' into my connection string. I know pooling helps performance wise but here I'm facing big problems. Please help me out to retrieve a varbinary value into an classic ASP file or suggest a way to set & unset app roles. Either way solutions are appreciated. Thanks, Nandagopal

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  • Troubleshooting source of heavy resource-usage on a server 2008 running multiple sites

    - by batman_man
    Hi, I am running about 10 asp.net websites on a hosted virtual server. The server runs Server 2008 - each website is backed by its own database running on SQL server 2008 on the same box. Lately the box has seemed really slow. The only kind of discovery i could think of doing was looking in the task manager, where i can see w3wp and sqlserver.exe jumping to 40% cpu usage every 5-10 seconds. What are the steps i can take to determine which of my websites is taking these resources and or what database is getting hit the most? I have of course ssms installed on the machine as well. As you can tell, my sysadmin skills are very very limited - any help would be much appreciated.

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  • What is IPKVM and why would I need that to install SQL Server on my Web Server?

    - by Eric
    Hello. I have a dedicated server, and will be installing SQL Server. However, my hosting company said they can connect an external CD ROM drive and give me KVM over IP to install SQL Server. My question is, what is IPKVM, and how does it work? Do I need special hardware or software on my side to use it....or do I just connect via remote desktop? Also, why can't I remote into my server through remote desktop instead of using KVM over IP?

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  • Dynamically Specify Linked Server and DB Names in Stored Procedure

    - by hgulyan
    I have the same query in a stored procedure that needs to be executed on different servers and databases according to parameters. How can I arrange this without exec or sp_executesql? I'm using SQL Server 2008. Thank you. UPDATE I've found some links http://www.eggheadcafe.com/software/aspnet/29397800/dynamically-specify-serve.aspx http://www.sommarskog.se/dynamic_sql.html Is using SYNONYM possible solution? If yes, than how? UPDATE 2 I forgot to mention that all this servers are linked to the server where stored procedure is stored.

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  • Using Remote Web Server to Initialize iPhone App

    - by Chris_K
    My iPhone app relies on a vendor's XML feed to provide data. But that feed is not locked down. The vendor could change the format of the XML at any time, although so far they've promised not to. Since I might want to tell my app to use a different URL for its data source, I'd like to set up a single "Command Central" Web page, on my own server, to direct the app to the correct data source. In other words, each time my app starts, in the background and unseen by the user, it would visit "http://www.myserver.com/iphoneapp_data_sources.xml" to retrieve the URL for retrieving data from my vendor. That way, if my vendor suddenly changes the exact URL or the XML feed that the app needs, I can update that Web page and ensure that all installations of the app are using the correct XML feed. Does anyone have any advice or examples showing this kind of approach? It seems as if this must be a common problem, but so far I haven't found a well-established design pattern that fits it.

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  • Building vs. Buying a Master Data Management Solution

    - by david.butler(at)oracle.com
    Many organizations prefer to build their own MDM solutions. The argument is that they know their data quality issues and their data better than anyone. Plus a focused solution will cost less in the long run then a vendor supplied general purpose product. This is not unreasonable if you think of MDM as a point solution for a particular data quality problem. But this approach carries significant risk. We now know that organizations achieve significant competitive advantages when they deploy MDM as a strategic enterprise wide solution: with the most common best practice being to deploy a tactical MDM solution and grow it into a full information architecture. A build your own approach most certainly will not scale to a larger architecture unless it is done correctly with the larger solution in mind. It is possible to build a home grown point MDM solution in such a way that it will dovetail into broader MDM architectures. A very good place to start is to use the same basic technologies that Oracle uses to build its own MDM solutions. Start with the Oracle 11g database to create a flexible, extensible and open data model to hold the master data and all needed attributes. The Oracle database is the most flexible, highly available and scalable database system on the market. With its Real Application Clusters (RAC) it can even support the mixed OLTP and BI workloads that represent typical MDM data access profiles. Use Oracle Data Integration (ODI) for batch data movement between applications, MDM data stores, and the BI layer. Use Oracle Golden Gate for more real-time data movement. Use Oracle's SOA Suite for application integration with its: BPEL Process Manager to orchestrate MDM connections to business processes; Identity Management for managing users; WS Manager for managing web services; Business Intelligence Enterprise Edition for analytics; and JDeveloper for creating or extending the MDM management application. Oracle utilizes these technologies to build its MDM Hubs.  Customers who build their own MDM solution using these components will easily migrate to Oracle provided MDM solutions when the home grown solution runs out of gas. But, even with a full stack of open flexible MDM technologies, creating a robust MDM application can be a daunting task. For example, a basic MDM solution will need: a set of data access methods that support master data as a service as well as direct real time access as well as batch loads and extracts; a data migration service for initial loads and periodic updates; a metadata management capability for items such as business entity matrixed relationships and hierarchies; a source system management capability to fully cross-reference business objects and to satisfy seemingly conflicting data ownership requirements; a data quality function that can find and eliminate duplicate data while insuring correct data attribute survivorship; a set of data quality functions that can manage structured and unstructured data; a data quality interface to assist with preventing new errors from entering the system even when data entry is outside the MDM application itself; a continuing data cleansing function to keep the data up to date; an internal triggering mechanism to create and deploy change information to all connected systems; a comprehensive role based data security system to control and monitor data access, update rights, and maintain change history; a flexible business rules engine for managing master data processes such as privacy and data movement; a user interface to support casual users and data stewards; a business intelligence structure to support profiling, compliance, and business performance indicators; and an analytical foundation for directly analyzing master data. Oracle's pre-built MDM Hub solutions are full-featured 3-tier Internet applications designed to participate in the full Oracle technology stack or to run independently in other open IT SOA environments. Building MDM solutions from scratch can take years. Oracle's pre-built MDM solutions can bring quality data to the enterprise in a matter of months. But if you must build, at lease build with the world's best technology stack in a way that simplifies the eventual upgrade to Oracle MDM and to the full enterprise wide information architecture that it enables.

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  • SQLOS and Cloud Infrastructure sessions at PASS Summit 2012

    - by SQLOS Team
    The SQL Pass Summit 2012, the largest yet, is in full swing. Here's a summary of the sessions this week on cloud infrastructure and SQLOS topics. Some of these were today, and you can catch the recordings. One more session takes place on Friday covering SQL Server solution patterns in Windows Azure VMs... Also, catch Thursday's keynote with Quentin Clark which will feature a cool IaaS demo!   SQL Server in Windows Azure VM Sessions CLD-309-A SQLCAT: Best Practices and Lessons Learned on SQL Server in an Azure VM Steve Howard, Arvind Ranasaria - Wednesday 11/6 10:15 This session looked at some best practices to optimize Networking, Memory, Disk IO and high availability based on lessons learned during SQLCat work with customer deployments. Well worth catching the recording.   SQL Server in Azure VM patterns: Hybrid Disaster Recovery, data movement and BI Guy Bowerman, Peter Saddow, Michael Washam, Ross LoForte - Friday 11/9 9:45 Rm 613 [Note: In the guides this has an outdated title.] This session has a focus on SQL Server Azure VM solutions. Starting with the basics and then going deeper into: - New features in the Microsoft Assessment and Planning Toolkit 8.0 to help plan and size SQL VM migrations.- A Look at a Windows Azure VM SQL Server app making use of load balancing and SQL Server high availability features.- A BI case study running SQL BI components in Azure VMs and making use of Windows 8 tiles.- A training class in a VM case study.   SQLOS Sessions DBA-500-HD Inside SQLOS 2012 (half-day session) Bob Ward - Wednesday 11/6 1:30pm Bob Ward from CSS applies his wealth of experience to look at the internals of SQLOS and what's changed in the various SQL 2012 components, including memory, resource governor, scheduler.   DBA-403-M: SQLCAT: Memory Manager Changes in SQL Server 2012 Gus Apostol, Jerome Halmans - 1:30pm Covers the redesigned SQLOS memory manager in SQL Server 2012 including the new page allocator for any size pages (and all that implies), DMVs, demo's. Not sure why this was placed at the same time as the SQLOS half-day session, but since it's recorded it's available for catch-up.   - Guy   Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • SQL Server 2008 Compression

    - by Peter Larsson
    Hi! Today I am going to talk about compression in SQL Server 2008. The data warehouse I currently design and develop holds historical data back to 1973. The data warehouse will have an other blog post laster due to it's complexity. However, the server has 60GB of memory (of which 48 is dedicated to SQL Server service), so all data didn't fit in memory and the SAN is not the fastest one around. So I decided to give compression a go, since we use Enterprise Edition anyway. This is the code I use to compress all tables with PAGE compression. DECLARE @SQL VARCHAR(MAX)   DECLARE curTables CURSOR FOR             SELECT 'ALTER TABLE ' + QUOTENAME(OBJECT_SCHEMA_NAME(object_id))                     + '.' + QUOTENAME(OBJECT_NAME(object_id))                     + ' REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = PAGE)'             FROM    sys.tables   OPEN    curTables   FETCH   NEXT FROM    curTables INTO    @SQL   WHILE @@FETCH_STATUS = 0     BEGIN         IF @SQL IS NOT NULL             RAISERROR(@SQL, 10, 1) WITH NOWAIT           FETCH   NEXT         FROM    curTables         INTO    @SQL     END   CLOSE       curTables DEALLOCATE  curTables Copy and paste the result to a new code window and execute the statements. One thing I noticed when doing this, is that the database grows with the same size as the table. If the database cannot grow this size, the operation fails. For me, I first ended up with orphaned connection. Not good. And this is the code I use to create the index compression statements DECLARE @SQL VARCHAR(MAX)   DECLARE curIndexes CURSOR FOR             SELECT      'ALTER INDEX ' + QUOTENAME(name)                         + ' ON '                         + QUOTENAME(OBJECT_SCHEMA_NAME(object_id))                         + '.'                         + QUOTENAME(OBJECT_NAME(object_id))                         + ' REBUILD PARTITION = ALL WITH (FILLFACTOR = 100, DATA_COMPRESSION = PAGE)'             FROM        sys.indexes             WHERE       OBJECTPROPERTY(object_id, 'IsMSShipped') = 0                         AND OBJECTPROPERTY(object_id, 'IsTable') = 1             ORDER BY    CASE type_desc                             WHEN 'CLUSTERED' THEN 1                             ELSE 2                         END   OPEN    curIndexes   FETCH   NEXT FROM    curIndexes INTO    @SQL   WHILE @@FETCH_STATUS = 0     BEGIN         IF @SQL IS NOT NULL             RAISERROR(@SQL, 10, 1) WITH NOWAIT           FETCH   NEXT         FROM    curIndexes         INTO    @SQL     END   CLOSE       curIndexes DEALLOCATE  curIndexes When this was done, I noticed that the 90GB database now only was 17GB. And most important, complete database now could reside in memory! After this I took care of the administrative tasks, backups. Here I copied the code from Management Studio because I didn't want to give too much time for this. The code looks like (notice the compression option). BACKUP DATABASE [Yoda] TO              DISK = N'D:\Fileshare\Backup\Yoda.bak' WITH            NOFORMAT,                 INIT,                 NAME = N'Yoda - Full Database Backup',                 SKIP,                 NOREWIND,                 NOUNLOAD,                 COMPRESSION,                 STATS = 10,                 CHECKSUM GO   DECLARE @BackupSetID INT   SELECT  @BackupSetID = Position FROM    msdb..backupset WHERE   database_name = N'Yoda'         AND backup_set_id =(SELECT MAX(backup_set_id) FROM msdb..backupset WHERE database_name = N'Yoda')   IF @BackupSetID IS NULL     RAISERROR(N'Verify failed. Backup information for database ''Yoda'' not found.', 16, 1)   RESTORE VERIFYONLY FROM    DISK = N'D:\Fileshare\Backup\Yoda.bak' WITH    FILE = @BackupSetID,         NOUNLOAD,         NOREWIND GO After running the backup, the file size was even more reduced due to the zip-like compression algorithm used in SQL Server 2008. The file size? Only 9 GB. //Peso

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  • Alternatives for comparing data from different databases

    - by Alex
    I have two huge tables on separate databases. One of them has the information of all the SMS that passed through the company's servers while the other one has the information of the actual billing of those SMS. My job is to compare samples of both of these tables (for example, the records between 1 and 2 pm) to see if there are any differences: SMS that were sent but not charged to the user for whatever reason that may be happening. The columns I will be using to compare are the remitent's phone number and the exact date the SMS was sent. An issue here is that dates usually are the same on both sides, but in many cases differ by 1 or 2 seconds. I have, so far, two alternatives to do this: (PL/SQL) Create two tables where i'm going to temporarily store all the records of that 1hour sample. One for each of the main tables. Then, for each distinct phone number, select the time of every SMS sent from that phone from both my temporary tables and start comparing one by one using cursors. In this case, the procedure would be ran on the server where one of the sources is so the contents of the other one would be looked up using a dblink. (sqlplus + c++) Instead of storing the 1hour samples in new tables, output the query to a text file. I will have two text files, one for each source. Then, open the first file and load all of it's content on a hash_map (key-value) using c++, where the key will be the phone number and the value a list of times of SMS sent from that phone. Finally, open the second file, grab each line (in this format: numberX timeX), look for numberX's entry on the hash_map (wich will be a list of times) and then check if timeX is on that list. If it isn't, save it somewhere to finally store it on a "uncharged" table (this would also be the final step on case 1) My main concern is efficiency. These samples have about 2 million records on each source, so just grabbing one record on one side and looking it up on the other would not be possible. That's the reason I wanted to use hash_maps Which do you think is a better option?

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  • Configurable tables in sql database

    - by dot
    I have the following tables in my database: Config Table: ====================================== Start_Range | End Range | Config_id 10 | 15 | 1 ====================================== Available_UserIDs ========================== ID | UserID | Used_YN | 1 | 10 | t | 1 | 11 | f | 1 | 12 | f | 1 | 13 | f | 1 | 14 | f | 1 | 15 | f | ========================== Users ========================== UserId | FName | LName | 10 |John | Doe | ========================== This is used in a reservation system of sorts... which lets an administrator specify a range of numbers that will be assigned to users in the config table. Once the range has been defined, the system then populates the Available_userIDs table with all the numbers in between the range, and sets the Used_YN flag to false As users sign up, they grab the next user_id number that's not in use... and reserve it. Then the system adds a record to the Users table. Once the admin has specified a range, it is possible that they can change it. For example, they can start with 10-15... and then when the range is used up, they should be able to specify another range like 16 - 99. I've put a unique constraint on the Available_UserIDs table, as well as on the Users table - to ensure that UserIds can't be duplicated. My questions are as follows: What's the best way to prevent the admins from using a range that's already in use? I thought of the following options: -- check either the Users table to see if the start range or ending range numbers are being used. If they are, assume that all the numbers in between are in use too, and reject the range. -- let them specify whatever they want, try to populate the Available_UserIDs table. If there are duplicates, just ignore that specific error message from the database and continue on. How do I find gaps in the number ranges? For example, if they specify 10-15, and then 20-25, it'd be nice to be able to somehow suggest on my web page that 16-19 is currently available. I found this article: http://stackoverflow.com/questions/1312101/how-to-find-a-gap-in-running-counter-with-sql But it only seems to return the first available number... so in my example above, it would only return the number 16. I'm sure there's a simpler way to do things that I'm overlooking!

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