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  • best practises to delete a set of tables in sql 2008

    - by Hari
    Basically i want to keep the transaction very simple but i should be able to rollback if any error in the later part. Something like mentioned below, BEGIN TRANSACTION DELETE SET 1(this will delete first set of table) COMMIT DELETE SET 2 (will delete second set of table) If any error occurs while deleting set 2 i should be able to rollback set 1 transaction as well.Let me know if we have any options to do like this. Appreciate for your help.

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  • Parameterizing a SQL IN clause?

    - by Jeff Atwood
    How do I parameterize a query containing an IN clause with a variable number of arguments, like this one? select * from Tags where Name in ('ruby','rails','scruffy','rubyonrails') order by Count desc In this query, the number of arguments could be anywhere from 1 to 5. I would prefer not to use a dedicated stored procedure for this (or XML), but if there is some fancy SQL Server 2008 specific way of doing it elegantly, I am open to that.

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  • SQL Server 2008 - Update a temporary table

    - by user336786
    Hello, I have stored procedure in which I am trying to retrieve the last ticket completed by each user listed in a comma-delimited string of usernames. The user may not have a ticket associated with them, in this case I know that i just need to return null. The two tables that I am working with are defined as follows: User ---- UserName, FirstName, LastName Ticket ------ ID, CompletionDateTime, AssignedTo, AssignmentDate, StatusID TicketStatus ------------ ID, Comments I have created a stored procedure in which I am trying to return the last completed ticket for a comma-delimited list of usernames. Each record needs to include the comments associated with it. Currently, I'm trying the following: CREATE TABLE #Tickets ( [UserName] nvarchar(256), [FirstName] nvarchar(256), [LastName] nvarchar(256), [TicketID] int, [DateCompleted] datetime, [Comments] text ) -- This variable is actually passed into the procedure DECLARE @userList NVARCHAR(max) SET @userList='user1,user2,user2' -- Obtain the user information for each user INSERT INTO #Tickets ( [UserName], [FirstName], [LastName] ) SELECT u.[UserName], u.[FirstName], u.[LastName] FROM User u INNER JOIN dbo.ConvertCsvToTable(@userList) l ON u.UserName=l.item At this point, I have the username, first and last name for each user passed in. However, I do not know how to actually get the last ticket completed for each of these users. How do I do this? I believe I should be updating the temp table I have created. At the same time, id do not know how to get just the last record in an update statement. Thank you!

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  • '<=' operator is not working in sql server 2000

    - by Lalit
    Hello, Scenario is, database is in the maintenance phase. this database is not developed by ours developer. it is an existing database developed by the 'xyz' company in sql server 2000. This is real time database, where i am working now. I wanted to write the stored procedure which will retrieve me the records From date1 to date 2.so query is : Select * from MyTableName Where colDate>= '3-May-2010' and colDate<= '5-Oct-2010' and colName='xyzName' whereas my understanding I must get data including upper bound date as well as lower bound date. but somehow I am getting records from '3-May-2010' (which is fine but) to '10-Oct-2010' As i observe in table design , for ColDate, developer had used 'varchar' to store the date. i know this is wrong remedy by them. so in my stored procedure I have also used varchar parameters as @FromDate1 and @ToDate to get inputs for SP. this is giving me result which i have explained. i tried to take the parameter type as 'Datetime' but it is showing error while saving/altering the stored procedure that "@FromDate1 has invalid datatype", same for "@ToDate". situation is that, I can not change the table design at all. what i have to do here ? i know we can use user defined table in sql server 2008 , but there is version sql server 2000. which does not support the same. Please guide me for this scenario. **Edited** I am trying to write like this SP: CREATE PROCEDURE USP_Data (@Location varchar(100), @FromDate DATETIME, @ToDate DATETIME) AS SELECT * FROM dbo.TableName Where CAST(Dt AS DATETIME) >=@fromDate and CAST(Dt AS DATETIME)<=@ToDate and Location=@Location GO but getting Error: Arithmetic overflow error converting expression to data type datetime. in sql server 2000 What should be that ? is i am wrong some where ? also (202 row(s) affected) is changes every time in circular manner means first time sayin (122 row(s) affected) run again saying (80 row(s) affected) if again (202 row(s) affected) if again (122 row(s) affected) I can not understand what is going on ?

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  • SQL Table design question

    - by Projapati
    Please ignore this question if it sounds stupid to you. I have SQL table (SQL Server) for photo albums and it has 20+ columns & it will hold millions of albums. I need to designate some albums as Promoted and some as Featured every week. I also need a very efficient way to get these albums (page by page) when I show it to users. How should I design this? option 1: I can create another table just to store the ids of the promoted and featured albums like this and then join the main albums table to get the set of columns I need. table designated_albums: album_id promoted_featured 1 1 5 0 7 1 15 0 The query for promoted will return 1, 7 The query for featured will return 5, 15 Option 2: I can add 1 column store 1 if promoted and 0 if featured. Otherwise it is null I can then query to check for 1 in that column for promoted albums & 0 for featured. Option 3: I can add 2 bit columns: one for promoted (0/1) and one for featured(0/1) Which way would perform better? EDIT: The design should be efficient in SQL 2008 as well. Right now I have SQL 2005.

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  • SQL Monitor’s data repository: Alerts

    - by Chris Lambrou
    In my previous post, I introduced the SQL Monitor data repository, and described how the monitored objects are stored in a hierarchy in the data schema, in a series of tables with a _Keys suffix. In this post I had planned to describe how the actual data for the monitored objects is stored in corresponding tables with _StableSamples and _UnstableSamples suffixes. However, I’m going to postpone that until my next post, as I’ve had a request from a SQL Monitor user to explain how alerts are stored. In the SQL Monitor data repository, alerts are stored in tables belonging to the alert schema, which contains the following five tables: alert.Alert alert.Alert_Cleared alert.Alert_Comment alert.Alert_Severity alert.Alert_Type In this post, I’m only going to cover the alert.Alert and alert.Alert_Type tables. I may cover the other three tables in a later post. The most important table in this schema is alert.Alert, as each row in this table corresponds to a single alert. So let’s have a look at it. SELECT TOP 100 AlertId, AlertType, TargetObject, [Read], SubType FROM alert.Alert ORDER BY AlertId DESC;  AlertIdAlertTypeTargetObjectReadSubType 165550397:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,9:SqlServer,1,4:Name,s0:,10 265549387:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,7:Machine,1,4:Name,s0:,10 365548187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 465547157:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 565546147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 665545187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 765544157:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 865543147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 965542187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 1065541147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 11…     So what are we seeing here, then? Well, AlertId is an auto-incrementing identity column, so ORDER BY AlertId DESC ensures that we see the most recent alerts first. AlertType indicates the type of each alert, such as Job failed (6), Backup overdue (14) or Long-running query (12). The TargetObject column indicates which monitored object the alert is associated with. The Read column acts as a flag to indicate whether or not the alert has been read. And finally the SubType column is used in the case of a Custom metric (40) alert, to indicate which custom metric the alert pertains to. Okay, now lets look at some of those columns in more detail. The AlertType column is an easy one to start with, and it brings use nicely to the next table, data.Alert_Type. Let’s have a look at what’s in this table: SELECT AlertType, Event, Monitoring, Name, Description FROM alert.Alert_Type ORDER BY AlertType;  AlertTypeEventMonitoringNameDescription 1100Processor utilizationProcessor utilization (CPU) on a host machine stays above a threshold percentage for longer than a specified duration 2210SQL Server error log entryAn error is written to the SQL Server error log with a severity level above a specified value. 3310Cluster failoverThe active cluster node fails, causing the SQL Server instance to switch nodes. 4410DeadlockSQL deadlock occurs. 5500Processor under-utilizationProcessor utilization (CPU) on a host machine remains below a threshold percentage for longer than a specified duration 6610Job failedA job does not complete successfully (the job returns an error code). 7700Machine unreachableHost machine (Windows server) cannot be contacted on the network. 8800SQL Server instance unreachableThe SQL Server instance is not running or cannot be contacted on the network. 9900Disk spaceDisk space used on a logical disk drive is above a defined threshold for longer than a specified duration. 101000Physical memoryPhysical memory (RAM) used on the host machine stays above a threshold percentage for longer than a specified duration. 111100Blocked processSQL process is blocked for longer than a specified duration. 121200Long-running queryA SQL query runs for longer than a specified duration. 131400Backup overdueNo full backup exists, or the last full backup is older than a specified time. 141500Log backup overdueNo log backup exists, or the last log backup is older than a specified time. 151600Database unavailableDatabase changes from Online to any other state. 161700Page verificationTorn Page Detection or Page Checksum is not enabled for a database. 171800Integrity check overdueNo entry for an integrity check (DBCC DBINFO returns no date for dbi_dbccLastKnownGood field), or the last check is older than a specified time. 181900Fragmented indexesFragmentation level of one or more indexes is above a threshold percentage. 192400Job duration unusualThe duration of a SQL job duration deviates from its baseline duration by more than a threshold percentage. 202501Clock skewSystem clock time on the Base Monitor computer differs from the system clock time on a monitored SQL Server host machine by a specified number of seconds. 212700SQL Server Agent Service statusThe SQL Server Agent Service status matches the status specified. 222800SQL Server Reporting Service statusThe SQL Server Reporting Service status matches the status specified. 232900SQL Server Full Text Search Service statusThe SQL Server Full Text Search Service status matches the status specified. 243000SQL Server Analysis Service statusThe SQL Server Analysis Service status matches the status specified. 253100SQL Server Integration Service statusThe SQL Server Integration Service status matches the status specified. 263300SQL Server Browser Service statusThe SQL Server Browser Service status matches the status specified. 273400SQL Server VSS Writer Service statusThe SQL Server VSS Writer status matches the status specified. 283501Deadlock trace flag disabledThe monitored SQL Server’s trace flag cannot be enabled. 293600Monitoring stopped (host machine credentials)SQL Monitor cannot contact the host machine because authentication failed. 303700Monitoring stopped (SQL Server credentials)SQL Monitor cannot contact the SQL Server instance because authentication failed. 313800Monitoring error (host machine data collection)SQL Monitor cannot collect data from the host machine. 323900Monitoring error (SQL Server data collection)SQL Monitor cannot collect data from the SQL Server instance. 334000Custom metricThe custom metric value has passed an alert threshold. 344100Custom metric collection errorSQL Monitor cannot collect custom metric data from the target object. Basically, alert.Alert_Type is just a big reference table containing information about the 34 different alert types supported by SQL Monitor (note that the largest id is 41, not 34 – some alert types have been retired since SQL Monitor was first developed). The Name and Description columns are self evident, and I’m going to skip over the Event and Monitoring columns as they’re not very interesting. The AlertId column is the primary key, and is referenced by AlertId in the alert.Alert table. As such, we can rewrite our earlier query to join these two tables, in order to provide a more readable view of the alerts: SELECT TOP 100 AlertId, Name, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType ORDER BY AlertId DESC;  AlertIdNameTargetObjectReadSubType 165550Monitoring error (SQL Server data collection)7:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,9:SqlServer,1,4:Name,s0:,00 265549Monitoring error (host machine data collection)7:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,7:Machine,1,4:Name,s0:,00 365548Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 465547Log backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 565546Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 665545Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 765544Log backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 865543Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 965542Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 1065541Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 Okay, the next column to discuss in the alert.Alert table is TargetObject. Oh boy, this one’s a bit tricky! The TargetObject of an alert is a serialized string representation of the position in the monitored object hierarchy of the object to which the alert pertains. The serialization format is somewhat convenient for parsing in the C# source code of SQL Monitor, and has some helpful characteristics, but it’s probably very awkward to manipulate in T-SQL. I could document the serialization format here, but it would be very dry reading, so perhaps it’s best to consider an example from the table above. Have a look at the alert with an AlertID of 65543. It’s a Backup overdue alert for the SqlMonitorData database running on the default instance of granger, my laptop. Each different alert type is associated with a specific type of monitored object in the object hierarchy (I described the hierarchy in my previous post). The Backup overdue alert is associated with databases, whose position in the object hierarchy is root → Cluster → SqlServer → Database. The TargetObject value identifies the target object by specifying the key properties at each level in the hierarchy, thus: Cluster: Name = "granger" SqlServer: Name = "" (an empty string, denoting the default instance) Database: Name = "SqlMonitorData" Well, look at the actual TargetObject value for this alert: "7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,". It is indeed composed of three parts, one for each level in the hierarchy: Cluster: "7:Cluster,1,4:Name,s7:granger," SqlServer: "9:SqlServer,1,4:Name,s0:," Database: "8:Database,1,4:Name,s14:SqlMonitorData," Each part is handled in exactly the same way, so let’s concentrate on the first part, "7:Cluster,1,4:Name,s7:granger,". It comprises the following: "7:Cluster," – This identifies the level in the hierarchy. "1," – This indicates how many different key properties there are to uniquely identify a cluster (we saw in my last post that each cluster is identified by a single property, its Name). "4:Name,s14:SqlMonitorData," – This represents the Name property, and its corresponding value, SqlMonitorData. It’s split up like this: "4:Name," – Indicates the name of the key property. "s" – Indicates the type of the key property, in this case, it’s a string. "14:SqlMonitorData," – Indicates the value of the property. At this point, you might be wondering about the format of some of these strings. Why is the string "Cluster" stored as "7:Cluster,"? Well an encoding scheme is used, which consists of the following: "7" – This is the length of the string "Cluster" ":" – This is a delimiter between the length of the string and the actual string’s contents. "Cluster" – This is the string itself. 7 characters. "," – This is a final terminating character that indicates the end of the encoded string. You can see that "4:Name,", "8:Database," and "14:SqlMonitorData," also conform to the same encoding scheme. In the example above, the "s" character is used to indicate that the value of the Name property is a string. If you explore the TargetObject property of alerts in your own SQL Monitor data repository, you might find other characters used for other non-string key property values. The different value types you might possibly encounter are as follows: "I" – Denotes a bigint value. For example, "I65432,". "g" – Denotes a GUID value. For example, "g32116732-63ae-4ab5-bd34-7dfdfb084c18,". "d" – Denotes a datetime value. For example, "d634815384796832438,". The value is stored as a bigint, rather than a native SQL datetime value. I’ll describe how datetime values are handled in the SQL Monitor data repostory in a future post. I suggest you have a look at the alerts in your own SQL Monitor data repository for further examples, so you can see how the TargetObject values are composed for each of the different types of alert. Let me give one further example, though, that represents a Custom metric alert, as this will help in describing the final column of interest in the alert.Alert table, SubType. Let me show you the alert I’m interested in: SELECT AlertId, a.AlertType, Name, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType WHERE AlertId = 65769;  AlertIdAlertTypeNameTargetObjectReadSubType 16576940Custom metric7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s6:master,12:CustomMetric,1,8:MetricId,I2,02 An AlertType value of 40 corresponds to the Custom metric alert type. The Name taken from the alert.Alert_Type table is simply Custom metric, but this doesn’t tell us anything about the specific custom metric that this alert pertains to. That’s where the SubType value comes in. For custom metric alerts, this provides us with the Id of the specific custom alert definition that can be found in the settings.CustomAlertDefinitions table. I don’t really want to delve into custom alert definitions yet (maybe in a later post), but an extra join in the previous query shows us that this alert pertains to the CPU pressure (avg runnable task count) custom metric alert. SELECT AlertId, a.AlertType, at.Name, cad.Name AS CustomAlertName, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType JOIN settings.CustomAlertDefinitions cad ON a.SubType = cad.Id WHERE AlertId = 65769;  AlertIdAlertTypeNameCustomAlertNameTargetObjectReadSubType 16576940Custom metricCPU pressure (avg runnable task count)7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s6:master,12:CustomMetric,1,8:MetricId,I2,02 The TargetObject value in this case breaks down like this: "7:Cluster,1,4:Name,s7:granger," – Cluster named "granger". "9:SqlServer,1,4:Name,s0:," – SqlServer named "" (the default instance). "8:Database,1,4:Name,s6:master," – Database named "master". "12:CustomMetric,1,8:MetricId,I2," – Custom metric with an Id of 2. Note that the hierarchy for a custom metric is slightly different compared to the earlier Backup overdue alert. It’s root → Cluster → SqlServer → Database → CustomMetric. Also notice that, unlike Cluster, SqlServer and Database, the key property for CustomMetric is called MetricId (not Name), and the value is a bigint (not a string). Finally, delving into the custom metric tables is beyond the scope of this post, but for the sake of avoiding any future confusion, I’d like to point out that whilst the SubType references a custom alert definition, the MetricID value embedded in the TargetObject value references a custom metric definition. Although in this case both the custom metric definition and custom alert definition share the same Id value of 2, this is not generally the case. Okay, that’s enough for now, not least because as I’m typing this, it’s almost 2am, I have to go to work tomorrow, and my alarm is set for 6am – eek! In my next post, I’ll either cover the remaining three tables in the alert schema, or I’ll delve into the way SQL Monitor stores its monitoring data, as I’d originally planned to cover in this post.

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  • Connection Pool error LINQ to SQL

    - by Ved
    Guys, In Our project I have used LINQ to SQL for every kind of database interaction. Now from what I know , When I create and use DataContext object : it opens the connection , crates a transaction , perform the query and closes the connection. Every now and then we are getting Connection pool error on our services and Server. " The timeout period elapsed prior to obtaining a connection from the pool. This may have occurred because all pooled connections were in use and max pool size was reached. " Any idea ? Am I completely off here ? Is this related to SQL Server itself ? We are using LINQ , .Net 3.5 and Sql Server 2008 NOTE: NO DATAREADER IS BEING USED ANYWHERE IN SYSTEM. Thanks

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  • SQL Server 2005, Sudden increase of connections - SharePoint 2007

    - by CrazyNick
    We observed that sudden increase of SQL connections during a specific hour, it is a backend of a SharePoint 2007 Farm. From SharePoint 2007 Perspective: 1. Incremental crawling is scheduled at that time and few of the Timer jobs (normal timer jobs) are scheduled to run every mins / per 10mins. 2. Number of user requests are less. From SQL Server 2005 Perspective: 1. Transaction log backup is scheduled at that time 2. No other scheduled jobs are running at that time. so, how to narrow down the issue, what would be causing the sudden SQL connection increase?

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  • How to handle encrypted column in SQL Server Database in LINQ to SQL?

    - by Raja
    Hi Guys, We are in the process of encrypting all the SSN columns (had to do it now due to security audit). We already built the DBML and now we have to change it. Can you guys let me know if there is a good way of handling this in LINQ to SQL? We use stored procedures for Insert, Update and Delete but use LINQ to SQL for all our selects (ease of use). Do I have to change the format for those tables with SSN or Is there any other manner we can handle it in LINQ to SQL? Thanks, Raja

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  • Can I modify package.xml file in SQL bootstrapper to install a named SQL server instance

    - by jonmiddleton
    I want to use the SqlExpress2008 Bootstrapper for a new installation on Windows7, I do not want to use the default SQLEXPRESS Instance. I have attempted to edit the package.xml file located in: C:\Program Files\Microsoft SDKs\Windows\v7.0A\Bootstrapper\Packages\SqlExpress2008\en\package.xml and updated the command argument instancename=CUSTOMINSTANCE But unfortunately it still creates the default SQLEXPRESS not CUSTOMINSTANCE The wix tag is as follows: <sql:SqlDatabase Id="SqlDatabaseCore" ConfirmOverwrite="yes" ContinueOnError="no" CreateOnInstall="yes" CreateOnReinstall="no" CreateOnUninstall="no" Database="MyDatabase" DropOnInstall="no" DropOnReinstall="no" DropOnUninstall="no" Instance="[SQLINSTANCE]" Server="[SQLSERVER]"> <sql:SqlFileSpec Id="SqlFileSpecCore" Filename="[CommonAppDataFolder]MyCompany\Database\MyDatabase.mdf" Name="MyDatabase" /> <sql:SqlLogFileSpec Id="SqlLogFileSpecCore" Filename="[CommonAppDataFolder]MyCompany\Database\MyDatabase.ldf" Name="MyDatabaseLog" /> Is this the standard way to accomplish this?

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  • Create View using Linked Server db in SQL Server

    - by Muhammad Kashif Nadeem
    How can I create View on Linked Server db. For Example I have a linked server [0.0.0.0] on [1.1.1.1]. Both db servers are SQL Sserver 2005. I want to create View on [1.1.1.1] using table on linked server. EDIT: On creating using full name, [0.0.0.0].db.dbo.table, I am getting this error. SQL Execution Error. Executed SQL statement: SELECT * FROM 0.0.0.0.db.dbo.table (YOu can see brackets are not there.) Error Source: .Net SqlClient Data Provider Error Message: Incorrect syntax near '0.0'. --- part of IP address. I am just creating this in ManagementStudio, not using it because it is not created yet. I Have changed IP. In image you can see there are not brackets around IP but I given it and on error these brackets are removed. Thanks.

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  • T-SQL: Opposite to string concatenation - how to split string into multiple records

    - by kristof
    I have seen a couple of questions related to string concatenation in SQL. I wonder how would you approach the opposite problem: splitting coma delimited string into rows of data: Lets say I have tables: userTypedTags(userID,commaSeparatedTags) 'one entry per user tags(tagID,name) And want to insert data into table userTag(userID,tagID) 'multiple entries per user Inspired by Which tags are not in the database? question EDIT Thanks for the answers, actually more then one deserves to be accepted but I can only pick one, and the solution presented by Cade Roux with recursions seems pretty clean to me. It works on SQL Server 2005 and above. For earlier version of SQL Server the solution provided by miies can be used. For working with text data type wcm answer will be helpful. Thanks again.

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  • Microsoft T-SQL to Oracle PL/SQL translation

    - by Michael Prewecki
    I've worked with T-SQL for years but i've just moved to an organisation that is going to require writing some Oracle stuff, probably just simple CRUD operations at least until I find my feet. I'm not going to be migrating databases from one to the other simply interacting with existing Oracle databases from an Application Development perspective. Is there are tool or utility available to easily translate T-SQL into PL/SQL, a keyword mapper is the sort of thing I'm looking for. P.S. I'm too lazy to RTFM, besides it's not going to be a big part of my role so I just want something to get me up to speed a little faster.

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  • SQL Server Compact 'Data Directory' macro in Connection String - more info needed

    - by codeulike
    So, as described on this msdn page, when you define a Connection String for SQL Server Compact 3.5, you can use the "Data Directory" macro, like this: quote from this msdn page: Data Directory Support SQL Server Compact 3.5 now supports the Data Directory macro. This means that if you add the string |DataDirectory| (enclosed in pipe symbols) to a file path, it will resolve to the path of the database. For example, consider the connection string: "Data Source= c:\program files\MyApp\Mydb.sdf" When using Data Directory, you can instead use the following connection string: "Data Source = |DataDirectory|\Mydb.sdf" For more information, see How to: Deploy a SQL Server Compact 3.5 Database with an Application. However, the 'for more information' link on msdn doesn't actually give any more information. So my question is: How does the |Data Directory| macro translate at run time? For WinForm apps, it seems to just give the location of the executable. Or is it more complicated than that?

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  • SQL Server: Granting db_datawriter on all databases

    - by Michael J Swart
    I want to manage permissions and access to a SQL Server database server on a development machine. I've created a local windows group (called DBReaderGroup) and assigned various people to it. The group was created as a SQL Server login successfully: create login [MYMACHINE\DBReaderGroup] from windows My goal is to grant this group read/write access to all databases (which are constantly being added and dropped). Is it possible to configure the right settings so that SQL Server manages this? My biggest challenge is that each time a db is created, I have to update the "User Mapping" settings for this group on the new database. Am I missing something simple?

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  • Manually inserting varbinary data into SQL Server

    - by Jeremy Jarrell
    Hi, We have a SQL Server table for user settings. Originally the settings were domain objects which had been serialized as XML into the table but we recently begun serializing them as binary. However, as part of our deployment process we statically pre-populate the table with predefined settings for our users. Originally, this was as simple as copying the XML from a customized database and pasting it into an INSERT statement that was ran after the database was built. However, since we've moved to storing the settings as binary data we can't get this to work. How can we extract binary data from a varbinary column in SQL Server and paste it into a static INSERT script? We only want to use SQL for this, we don't want to use any utilities. Thanks in advance, Jeremy

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  • Client-side Replication for SQL Server?

    - by Mighty Z
    I'd like to have some degree of fault tolerance / redundancy with my SQL Server Express database. I know that if I upgrade to a pricier version of SQL Server, I can get "Replication" built in. But I'm wondering if anyone has experience in managing replication on the client side. As in, from my application: Every time I need to create, update or delete records from the database -- issue the statement to all n servers directly from the client side Every time I need to read, I can do so from one representative server (other schemes seem possible here, too). It seems like this logic could potentially be added directly to my Linq-To-SQL Data Context. Any thoughts?

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  • Parameterized SQL statements vs. very simple method

    - by Philipp G
    When I started to write the first SQL-Statements in my programs I felt quite comfortable with protecting myself against SQL-Injection with a very simple method that a colleague showed me. It replaced all single quotes with two single quotes. So for example there is a searchfield in which you can enter a customername to search in the customertable. If you would enter Peter's Barbershop The SELECT Statement would look like SELECT * FROM Customers WHERE Customername = 'Peter''s Barbershop' If now an attacker would insert this: ';DROP TABLE FOO; -- The statement would look like: SELECT * FROM Customers WHERE Customername = ''';DROP TABLE FOO;--' It would not drop any table, but search the customertable for the customername ';DROP TABLE FOO;-- which, I suppose, won't be found ;-) Now after a while of writing statements and protecting myself against SQL-Injection with this method, I read that many developers use parameterized statements, but I never read an article where "our" method was used. So definitely there is a good reason for it. What scenarios would parameterized statements cover but our method doesn't? What are the advantages of parameterized statements compared to our method? Thanks Philipp

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