Search Results

Search found 31902 results on 1277 pages for 'sql backup'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 148/1277 | < Previous Page | 144 145 146 147 148 149 150 151 152 153 154 155  | Next Page >

  • spring roo backup command lost my files

    - by Moddy
    I generated spring roo project and modifies .jspx files to my styles. Unfortunately, when i used the backup command, spring roo was auto-generated files to the original one. Thus, my .jspx files are noy my styles. How should i do to recovery my files back from this command.

    Read the article

  • SQL Server - Get Inserted Record Identity Value when Using a View's Instead Of Trigger

    - by CuppM
    For several tables that have identity fields, we are implementing a Row Level Security scheme using Views and Instead Of triggers on those views. Here is a simplified example structure: -- Table CREATE TABLE tblItem ( ItemId int identity(1,1) primary key, Name varchar(20) ) go -- View CREATE VIEW vwItem AS SELECT * FROM tblItem -- RLS Filtering Condition go -- Instead Of Insert Trigger CREATE TRIGGER IO_vwItem_Insert ON vwItem INSTEAD OF INSERT AS BEGIN -- RLS Security Checks on inserted Table -- Insert Records Into Table INSERT INTO tblItem (Name) SELECT Name FROM inserted; END go If I want to insert a record and get its identity, before implementing the RLS Instead Of trigger, I used: DECLARE @ItemId int; INSERT INTO tblItem (Name) VALUES ('MyName'); SELECT @ItemId = SCOPE_IDENTITY(); With the trigger, SCOPE_IDENTITY() no longer works - it returns NULL. I've seen suggestions for using the OUTPUT clause to get the identity back, but I can't seem to get it to work the way I need it to. If I put the OUTPUT clause on the view insert, nothing is ever entered into it. -- Nothing is added to @ItemIds DECLARE @ItemIds TABLE (ItemId int); INSERT INTO vwItem (Name) OUTPUT INSERTED.ItemId INTO @ItemIds VALUES ('MyName'); If I put the OUTPUT clause in the trigger on the INSERT statement, the trigger returns the table (I can view it from SQL Management Studio). I can't seem to capture it in the calling code; either by using an OUTPUT clause on that call or using a SELECT * FROM (). -- Modified Instead Of Insert Trigger w/ Output CREATE TRIGGER IO_vwItem_Insert ON vwItem INSTEAD OF INSERT AS BEGIN -- RLS Security Checks on inserted Table -- Insert Records Into Table INSERT INTO tblItem (Name) OUTPUT INSERTED.ItemId SELECT Name FROM inserted; END go -- Calling Code INSERT INTO vwItem (Name) VALUES ('MyName'); The only thing I can think of is to use the IDENT_CURRENT() function. Since that doesn't operate in the current scope, there's an issue of concurrent users inserting at the same time and messing it up. If the entire operation is wrapped in a transaction, would that prevent the concurrency issue? BEGIN TRANSACTION DECLARE @ItemId int; INSERT INTO tblItem (Name) VALUES ('MyName'); SELECT @ItemId = IDENT_CURRENT('tblItem'); COMMIT TRANSACTION Does anyone have any suggestions on how to do this better? I know people out there who will read this and say "Triggers are EVIL, don't use them!" While I appreciate your convictions, please don't offer that "suggestion".

    Read the article

  • Simple oracle backup without using exp or expdp

    - by Jacob
    I have Oracle 10g installed on Windows in C:\oracle. If I stop all Oracle services, is it safe to backup by just copying the entire directory (e.g., to C:\oracle_bak), or am I significantly better off using expdp? Pointers to docs/websites very welcome, I wasn't able to Google up anything relevant.

    Read the article

  • Copy files from sub directories into one directory.

    - by Derek Organ
    Ok I have a bunch of files in this file structure format. /backup/daily/database1/database1-2011-01-01.sql /backup/daily/database1/database1-2011-01-02.sql /backup/daily/database1/database1-2011-01-03.sql /backup/daily/database1/database1-2011-01-04.sql /backup/daily/database1/database1-2011-01-05.sql /backup/daily/database1/database1-2011-01-06.sql /backup/daily/database1/database1-2011-01-07.sql /backup/daily/anotherdb/anotherdb-2011-01-01.sql /backup/daily/anotherdb/anotherdb-2011-01-02.sql /backup/daily/anotherdb/anotherdb-2011-01-03.sql /backup/daily/anotherdb/anotherdb-2011-01-04.sql /backup/daily/anotherdb/anotherdb-2011-01-05.sql /backup/daily/anotherdb/anotherdb-2011-01-06.sql /backup/daily/anotherdb/anotherdb-2011-01-07.sql /backup/daily/stuff/stuff-2011-01-01.sql /backup/daily/stuff/stuff-2011-01-02.sql /backup/daily/stuff/stuff-2011-01-03.sql /backup/daily/stuff/stuff-2011-01-04.sql /backup/daily/stuff/stuff-2011-01-05.sql /backup/daily/stuff/stuff-2011-01-06.sql /backup/daily/stuff/stuff-2011-01-07.sql And there are lots lots more. ultimately I want to import all the 2011-01-07.sql files into my mysql database. This works for one mysql -u root -ppassword < /backup/daily/database1/database1-2011-01-07.sql That will nicely restore that database from this backupfile. I want to run a process where it does this for all databases. So my plan is to first cp all 2011-01-07 sql files into a tmp dir e.g. cp /backup/daily/*/*2011-01-07*.sql /tmp/all The command above unfortunately isn't working I get an error: cp: cannot stat ..... No such file or directory So can you guys help me out with this. For bonus points if you can tell me how to do the next step which is import all databases in one command doing one at a time that would be great too. I really want to do these in two separate steps because I need to delete a few sql files manually from the tmp dir before I run the restore command. So I need: 1) command to copy all 2011-01-07 sql files to a tmp dir 2) command to import all those files in that dir into mysql I know its possible to do in one but for lots of reasons I really would prefer to do it in two steps.

    Read the article

  • Is SQL Server DRI (ON DELETE CASCADE) slow?

    - by Aaronaught
    I've been analyzing a recurring "bug report" (perf issue) in one of our systems related to a particularly slow delete operation. Long story short: It seems that the CASCADE DELETE keys were largely responsible, and I'd like to know (a) if this makes sense, and (b) why it's the case. We have a schema of, let's say, widgets, those being at the root of a large graph of related tables and related-to-related tables and so on. To be perfectly clear, deleting from this table is actively discouraged; it is the "nuclear option" and users are under no illusions to the contrary. Nevertheless, it sometimes just has to be done. The schema looks something like this: Widgets | +--- Anvils (1:1) | | | +--- AnvilTestData (1:N) | +--- WidgetHistory (1:N) | +--- WidgetHistoryDetails (1:N) Nothing too scary, really. A Widget can be different types, an Anvil is a special type, so that relationship is 1:1 (or more accurately 1:0..1). Then there's a large amount of data - perhaps thousands of rows of AnvilTestData per Anvil collected over time, dealing with hardness, corrosion, exact weight, hammer compatibility, usability issues, and impact tests with cartoon heads. Then every Widget has a long, boring history of various types of transactions - production, inventory moves, sales, defect investigations, RMAs, repairs, customer complaints, etc. There might be 10-20k details for a single widget, or none at all, depending on its age. So, unsurprisingly, there's a CASCADE DELETE relationship at every level here. If a Widget needs to be deleted, it means something's gone terribly wrong and we need to erase any records of that widget ever existing, including its history, test data, etc. Again, nuclear option. Relations are all indexed, statistics are up to date. Normal queries are fast. The system tends to hum along pretty smoothly for everything except deletes. Getting to the point here, finally, for various reasons we only allow deleting one widget at a time, so a delete statement would look like this: DELETE FROM Widgets WHERE WidgetID = @WidgetID Pretty simple, innocuous looking delete... that takes over 2 minutes to run, for a widget with no data! After slogging through execution plans I was finally able to pick out the AnvilTestData and WidgetHistoryDetails deletes as the sub-operations with the highest cost. So I experimented with turning off the CASCADE (but keeping the actual FK, just setting it to NO ACTION) and rewriting the script as something very much like the following: DECLARE @AnvilID int SELECT @AnvilID = AnvilID FROM Anvils WHERE WidgetID = @WidgetID DELETE FROM AnvilTestData WHERE AnvilID = @AnvilID DELETE FROM WidgetHistory WHERE HistoryID IN ( SELECT HistoryID FROM WidgetHistory WHERE WidgetID = @WidgetID) DELETE FROM Widgets WHERE WidgetID = @WidgetID Both of these "optimizations" resulted in significant speedups, each one shaving nearly a full minute off the execution time, so that the original 2-minute deletion now takes about 5-10 seconds - at least for new widgets, without much history or test data. Just to be absolutely clear, there is still a CASCADE from WidgetHistory to WidgetHistoryDetails, where the fanout is highest, I only removed the one originating from Widgets. Further "flattening" of the cascade relationships resulted in progressively less dramatic but still noticeable speedups, to the point where deleting a new widget was almost instantaneous once all of the cascade deletes to larger tables were removed and replaced with explicit deletes. I'm using DBCC DROPCLEANBUFFERS and DBCC FREEPROCCACHE before each test. I've disabled all triggers that might be causing further slowdowns (although those would show up in the execution plan anyway). And I'm testing against older widgets, too, and noticing a significant speedup there as well; deletes that used to take 5 minutes now take 20-40 seconds. Now I'm an ardent supporter of the "SELECT ain't broken" philosophy, but there just doesn't seem to be any logical explanation for this behaviour other than crushing, mind-boggling inefficiency of the CASCADE DELETE relationships. So, my questions are: Is this a known issue with DRI in SQL Server? (I couldn't seem to find any references to this sort of thing on Google or here in SO; I suspect the answer is no.) If not, is there another explanation for the behaviour I'm seeing? If it is a known issue, why is it an issue, and are there better workarounds I could be using?

    Read the article

  • Get mutually and non mutually existening Fields in same table in Two columns

    - by ranabra
    This is a question similar to another question I posted here but is a little different. I am trying to get a list of all instances of mutual and non-mutual existing Users. What I mean is that the returned result from the query will return a list of users along with their co-worker. It is similar to the question here, but the difference is that non mutual users will be returned too and with out the "duplicity" mutually existing users return in the list (See image below in-order simplify it all). I took the original answer from Thomas (Thanx again Thomas) Select D1.u_username, U1.Permission, U1.Grade, D1.f_username, U2.Permission, U2.Gradefrom tblDynamicUserList As D1    Join tblDynamicUserList As D2        On D2.u_username = D1.f_username            And D2.f_username = D1.u_username    Join tblUsers As U1        On U1.u_username = D1.u_username    Join tblUsers As U2        On U2.u_username = D2.u_username and after some several trials I commented out 2 lines (Below). The returned result are exactly as described in the beginning of this question, but with the "duplicity" returned by mutually existing users in the table. How can I eliminate this duplicity? Select D1.u_username, U1.Permission, U1.Grade, D1.f_username, U2.Permission, U2.Gradefrom tblDynamicUserList As D1    Join tblDynamicUserList As D2        On D2.u_username = D1.f_username            /* And D2.f_username = D1.u_username */    Join tblUsers As U1        On U1.u_username = D1.u_username    Join tblUsers As U2        On U2.u_username = D2.u_username /* WHERE D1.U_userName < D1.f_username */ *Screenshot that hopefully helps explain it all. Database is SQL 2005. Many thanx in advance

    Read the article

  • Is there a way to delay compilation of a stored procedure's execution plan?

    - by Ian Henry
    (At first glance this may look like a duplicate of http://stackoverflow.com/questions/421275 or http://stackoverflow.com/questions/414336, but my actual question is a bit different) Alright, this one's had me stumped for a few hours. My example here is ridiculously abstracted, so I doubt it will be possible to recreate locally, but it provides context for my question (Also, I'm running SQL Server 2005). I have a stored procedure with basically two steps, constructing a temp table, populating it with very few rows, and then querying a very large table joining against that temp table. It has multiple parameters, but the most relevant is a datetime "@MinDate." Essentially: create table #smallTable (ID int) insert into #smallTable select (a very small number of rows from some other table) select * from aGiantTable inner join #smallTable on #smallTable.ID = aGiantTable.ID inner join anotherTable on anotherTable.GiantID = aGiantTable.ID where aGiantTable.SomeDateField > @MinDate If I just execute this as a normal query, by declaring @MinDate as a local variable and running that, it produces an optimal execution plan that executes very quickly (first joins on #smallTable and then only considers a very small subset of rows from aGiantTable while doing other operations). It seems to realize that #smallTable is tiny, so it would be efficient to start with it. This is good. However, if I make that a stored procedure with @MinDate as a parameter, it produces a completely inefficient execution plan. (I am recompiling it each time, so it's not a bad cached plan...at least, I sure hope it's not) But here's where it gets weird. If I change the proc to the following: declare @LocalMinDate datetime set @LocalMinDate = @MinDate --where @MinDate is still a parameter create table #smallTable (ID int) insert into #smallTable select (a very small number of rows from some other table) select * from aGiantTable inner join #smallTable on #smallTable.ID = aGiantTable.ID inner join anotherTable on anotherTable.GiantID = aGiantTable.ID where aGiantTable.SomeDateField > @LocalMinDate Then it gives me the efficient plan! So my theory is this: when executing as a plain query (not as a stored procedure), it waits to construct the execution plan for the expensive query until the last minute, so the query optimizer knows that #smallTable is small and uses that information to give the efficient plan. But when executing as a stored procedure, it creates the entire execution plan at once, thus it can't use this bit of information to optimize the plan. But why does using the locally declared variables change this? Why does that delay the creation of the execution plan? Is that actually what's happening? If so, is there a way to force delayed compilation (if that indeed is what's going on here) even when not using local variables in this way? More generally, does anyone have sources on when the execution plan is created for each step of a stored procedure? Googling hasn't provided any helpful information, but I don't think I'm looking for the right thing. Or is my theory just completely unfounded? Edit: Since posting, I've learned of parameter sniffing, and I assume this is what's causing the execution plan to compile prematurely (unless stored procedures indeed compile all at once), so my question remains -- can you force the delay? Or disable the sniffing entirely? The question is academic, since I can force a more efficient plan by replacing the select * from aGiantTable with select * from (select * from aGiantTable where ID in (select ID from #smallTable)) as aGiantTable Or just sucking it up and masking the parameters, but still, this inconsistency has me pretty curious.

    Read the article

  • SqlDataAdapter Update is not working in C# wih Sql Server

    - by Ahmed
    I am trying to save data from C# form to Sql server Northwind Orders database, I am only using CustomerID, OrderDate and ShippedDate for data entry. Following is the code to Form load and save button: private void Form1_Load(object sender, EventArgs e) { SetComb(); connectionString = ConfigurationManager.AppSettings["connectionString"]; sqlConnection = new SqlConnection(connectionString); String sqlSelect = "Select OrderID, CustomerID, OrderDate, ShippedDate from Orders"; sqlDataMaster = new SqlDataAdapter(sqlSelect, sqlConnection); sqlConnection.Open(); //=============================================================================== //--- Set up the INSERT Command //=============================================================================== sInsProcName = "prInsert_Order"; insertcommand = new SqlCommand(sInsProcName, sqlConnection); insertcommand.CommandType = CommandType.StoredProcedure; insertcommand.Parameters.Add(new SqlParameter("@nNewID", SqlDbType.Int, 0, ParameterDirection.Output, false, 0, 0, "OrderID", DataRowVersion.Default, null)); insertcommand.UpdatedRowSource = UpdateRowSource.OutputParameters; insertcommand.Parameters.Add(new SqlParameter("@sCustomerID", SqlDbType.NChar, 5,"CustomerID")); insertcommand.Parameters["@sCustomerID"].Value = cmbCust.SelectedValue; insertcommand.Parameters.Add(new SqlParameter("@dtOrderDate", SqlDbType.DateTime, 8,"OrderDate")); insertcommand.Parameters["@dtOrderDate"].Value = dtOrdDt.Text; insertcommand.Parameters.Add(new SqlParameter("@dtShipDate", SqlDbType.DateTime, 8,"ShippedDate")); insertcommand.Parameters["@dtShipDate"].Value = dtShipDt.Text; sqlDataMaster.InsertCommand = insertcommand; //=============================================================================== //--- Set up the UPDATE Command //=============================================================================== sUpdProcName = "prUpdate_Order"; updatecommand = new SqlCommand(sUpdProcName, sqlConnection); updatecommand.CommandType = CommandType.StoredProcedure; updatecommand.Parameters.Add(new SqlParameter("@nOrderID", SqlDbType.Int, 4, "OrderID")); updatecommand.Parameters.Add(new SqlParameter("@dtOrderDate", SqlDbType.DateTime, 8, "OrderDate")); updatecommand.Parameters.Add(new SqlParameter("@dtShipDate", SqlDbType.DateTime, 8, "ShippedDate")); sqlDataMaster.UpdateCommand = updatecommand; //=============================================================================== //--- Set up the DELETE Command //=============================================================================== sDelProcName = "prDelete_Order"; deletecommand = new SqlCommand(sDelProcName, sqlConnection); deletecommand.CommandType = CommandType.StoredProcedure; deletecommand.Parameters.Add(new SqlParameter("@nOrderID", SqlDbType.Int, 4, "OrderID")); sqlDataMaster.DeleteCommand = deletecommand; dt = new DataTable(); sqlDataMaster.FillSchema(dt, SchemaType.Source); ds = new DataSet(); ds.Tables.Add(dt); bs = new BindingSource(); bs.DataSource = ds.Tables[0]; } public void SetComb() { cmbCust.DataSource = dm.GetData("Select * from Customers order by CompanyName"); cmbCust.DisplayMember = "CompanyName"; cmbCust.ValueMember = "CustomerId"; cmbCust.Text = ""; } private void btnSave_Click(object sender, EventArgs e) { sqlDataMaster.Update((DataTable) bs.DataSource); } and Stored Procedures for Insert/Update/Delete set ANSI_NULLS ON set QUOTED_IDENTIFIER ON GO ALTER PROCEDURE [dbo].[prInsert_Order] -- ALTER PROCEDURE prInsert_Order @sCustomerID CHAR(5), @dtOrderDate DATETIME, @dtShipDate DATETIME, @nNewID INT OUTPUT AS SET NOCOUNT ON INSERT INTO Orders (CustomerID, OrderDate, ShippedDate) VALUES (@sCustomerID, @dtOrderDate, @dtShipDate) SELECT @nNewID = SCOPE_IDENTITY() set ANSI_NULLS ON set QUOTED_IDENTIFIER ON GO ALTER PROCEDURE [dbo].[prUpdate_Order] -- ALTER PROCEDURE prUpdate_Order @nOrderID INT, @dtOrderDate DATETIME, @dtShipDate DATETIME AS UPDATE Orders SET OrderDate = @dtOrderDate, ShippedDate = @dtShipDate WHERE OrderID = @nOrderID set ANSI_NULLS ON set QUOTED_IDENTIFIER ON GO ALTER PROCEDURE [dbo].[prDelete_Order] -- ALTER PROCEDURE prDelete_Order @nOrderID INT AS DELETE Orders WHERE OrderID = @nOrderID In the form CustomerID is selected via combobox which has Display property of CustomerName and Value property of CustomerID. But when clicking save button it shows no error, but it also don't save anything in Orders Table of Northwind....dm.GetData is the method of my Data Access Layer class to just get the info and populate CustomerID combobox. Any help with the code is highly appreciated... Thanks Ahmed

    Read the article

  • SQL - date variable isn't being parsed correctly?

    - by Bill Sambrone
    I am pulling a list of invoices filtered by a starting and ending date, and further filtered by type of invoice from a SQL table. When I specify a range of 2013-07-01 through 2013-09-30 I am receiving 2 invoices per company when I expect 3. When I use the built in select top 1000 query in SSMS and add my date filters, all the expected invoices appear. Here is my fancy query that I'm using that utilizing variables that are fed in: DECLARE @ReportStart datetime DECLARE @ReportStop datetime SET @ReportStart = '2013-07-01' SET @ReportStop = '2013-09-30' SELECT Entity_Company.CompanyName, Reporting_AgreementTypes.Description, Reporting_Invoices.InvoiceAmount, ISNULL(Reporting_ProductCost.ProductCost,0), (Reporting_Invoices.InvoiceAmount - ISNULL(Reporting_ProductCost.ProductCost,0)), (Reporting_AgreementTypes.Description + Entity_Company.CompanyName), Reporting_Invoices.InvoiceDate FROM Reporting_Invoices JOIN Entity_Company ON Entity_Company.ClientID = Reporting_Invoices.ClientID LEFT JOIN Reporting_ProductCost ON Reporting_ProductCost.InvoiceNumber =Reporting_Invoices.InvoiceNumber JOIN Reporting_AgreementTypes ON Reporting_AgreementTypes.AgreementTypeID = Reporting_Invoices.AgreementTypeID WHERE Reporting_Invoices.AgreementTypeID = (SELECT AgreementTypeID FROM Reporting_AgreementTypes WHERE Description = 'Resold Services') AND Reporting_Invoices.InvoiceDate >= @ReportStart AND Reporting_Invoices.InvoiceDate <= @ReportStop ORDER BY CompanyName,InvoiceDate The above only returns 2 invoices per company. When I run a much more basic query through SSMS I get 3 as expected, which looks like: SELECT TOP 1000 [InvoiceID] ,[AgreementID] ,[AgreementTypeID] ,[InvoiceDate] ,[Comment] ,[InvoiceAmount] ,[InvoiceNumber] ,[TicketID] ,Entity_Company.CompanyName FROM Reporting_Invoices JOIN Entity_Company ON Entity_Company.ClientID = Reporting_Invoices.ClientID WHERE Entity_Company.ClientID = '9' AND AgreementTypeID = (SELECT AgreementTypeID FROM Reporting_AgreementTypes WHERE Description = 'Resold Services') AND Reporting_Invoices.InvoiceDate >= '2013-07-01' AND Reporting_Invoices.InvoiceDate <= '2013-09-30' ORDER BY InvoiceDate DESC I've tried stripping down the 1st query to include only a client ID on the original invoice table, the invoice date, and nothing else. Still only get 2 invoices instead of the expected 3. I've also tried manually entering the dates instead of the @ variables, same result. I confirmed that InvoiceDate is defined as a datetime in the table. I've tried making all JOIN's a FULL JOIN to see if anything is hiding, but no change. Here is how I stripped down the original query to keep all other tables out of the mix and yet I'm still getting only 2 invoices per client ID instead of 3 (I manually entered the ID for the type filter): --DECLARE @ReportStart datetime --DECLARE @ReportStop datetime --SET @ReportStart = '2013-07-01' --SET @ReportStop = '2013-09-30' SELECT --Entity_Company.CompanyName, --Reporting_AgreementTypes.Description, Reporting_Invoices.ClientID, Reporting_Invoices.InvoiceAmount, --ISNULL(Reporting_ProductCost.ProductCost,0), --(Reporting_Invoices.InvoiceAmount - ISNULL(Reporting_ProductCost.ProductCost,0)), --(Reporting_AgreementTypes.Description + Entity_Company.CompanyName), Reporting_Invoices.InvoiceDate FROM Reporting_Invoices --JOIN Entity_Company ON Entity_Company.ClientID = Reporting_Invoices.ClientID --LEFT JOIN Reporting_ProductCost ON Reporting_ProductCost.InvoiceNumber = Reporting_Invoices.InvoiceNumber --JOIN Reporting_AgreementTypes ON Reporting_AgreementTypes.AgreementTypeID = Reporting_Invoices.AgreementTypeID WHERE Reporting_Invoices.AgreementTypeID = '22'-- (SELECT AgreementTypeID FROM Reporting_AgreementTypes WHERE Description = 'Resold Services') AND Reporting_Invoices.InvoiceDate >= '2013-07-01' AND Reporting_Invoices.InvoiceDate <= '2013-09-30' ORDER BY ClientID,InvoiceDate This strikes me as really weird as it is pretty much the same query as the SSMS generated one that returns correct results. What am I overlooking? UPDATE I've further refined my "test query" that is returning only 2 invoices per company to help troubleshoot this. Below is the query and a relevant subset of data for 1 company from the appropriate tables: SELECT Reporting_Invoices.ClientID, Reporting_AgreementTypes.Description, Reporting_Invoices.InvoiceAmount, Reporting_Invoices.InvoiceDate FROM Reporting_Invoices JOIN Reporting_AgreementTypes ON Reporting_AgreementTypes.AgreementTypeID = Reporting_Invoices.AgreementTypeID WHERE Reporting_Invoices.AgreementTypeID = (SELECT AgreementTypeID FROM Reporting_AgreementTypes WHERE Description = 'Resold Services') AND Reporting_Invoices.InvoiceDate >= '2013-07-01T00:00:00' AND Reporting_Invoices.InvoiceDate <= '2013-09-30T00:00:00' ORDER BY Reporting_Invoices.ClientID,InvoiceDate The above only returns 2 invoices. Here is the relevant table data: Relevant data from Reporting_AgreementTypes AgreementTypeID Description 22 Resold Services Relevant data from Reporting_Invoices InvoiceID ClientID AgreementID AgreementTypeID InvoiceDate 16111 9 757 22 2013-09-30 00:00:00.000 15790 9 757 22 2013-08-30 00:00:00.000 15517 9 757 22 2013-07-31 00:00:00.000 Actual results from my new modified query ClientID Description InvoiceAmount InvoiceDate 9 Resold Services 3513.79 7/31/13 00:00:00 9 Resold Services 3570.49 8/30/13 00:00:00

    Read the article

  • SQL Server 2008 takes up a lot of memory?

    - by Ahmed Said
    I am conducting stress tests on my database, which is hosted on SQL Server 2008 64-bit running on a 64-bit machine with 10 GB of RAM. I have 400 threads. Each thread queries the database every second, but the query time does not take time, as the SQL profiler says that, but after 18 hours SQL Server uses up 7.2 GB of RAM and 7.2 GB of virtual memory. Is this normal behavior? How can I adjust SQL Server to clean up unused memory?

    Read the article

  • Are parametrized calls/sanitization/escaping characters necessary for hashed password fields in SQL queries?

    - by Computerish
    When writing a login system for a website, it is standard to use some combination of parameterized calls, sanitizing the user input, and/or escaping special characters to prevent SQL injection attacks. Any good login system, however, should also hash (and possibly salt) every password before it goes into an SQL query, so is it still necessary to worry about SQL injection attacks in passwords? Doesn't a hash completely eliminate any possibility of an SQL injection attack on its own?

    Read the article

  • It’s time that you ought to know what you don’t know

    - by fatherjack
    There is a famous quote about unknown unknowns and known knowns and so on but I’ll let you review that if you are interested. What I am worried about is that there are things going on in your environment that you ought to know about, indeed you have asked to be told about but you are not getting the information. When you schedule a SQL Agent job you can set it to send an email to an inbox monitored by someone who needs to know and indeed can do something about it. However, what happens if the email process isnt successful? Check your servers with this: USE [msdb] GO /* This code selects the top 10 most recent SQLAgent jobs that failed to complete successfully and where the email notification failed too. Jonathan Allen Jul 2012 */ DECLARE @Date DATETIME SELECT @Date = DATEADD(d, DATEDIFF(d, '19000101', GETDATE()) - 1, '19000101') SELECT TOP 10 [s].[name] , [sjh].[step_name] , [sjh].[sql_message_id] , [sjh].[sql_severity] , [sjh].[message] , [sjh].[run_date] , [sjh].[run_time] , [sjh].[run_duration] , [sjh].[operator_id_emailed] , [sjh].[operator_id_netsent] , [sjh].[operator_id_paged] , [sjh].[retries_attempted] FROM [dbo].[sysjobhistory] AS sjh INNER JOIN [dbo].[sysjobs] AS s ON [sjh].[job_id] = [s].[job_id] WHERE EXISTS ( SELECT * FROM [dbo].[sysjobs] AS s INNER JOIN [dbo].[sysjobhistory] AS s2 ON [s].[job_id] = [s2].[job_id] WHERE [sjh].[job_id] = [s2].[job_id] AND [s2].[message] LIKE '%failed to notify%' AND CONVERT(DATETIME, CONVERT(VARCHAR(15), [s2].[run_date])) >= @date AND [s2].[run_status] = 0 ) AND sjh.[run_status] = 0 AND sjh.[step_id] != 0 AND CONVERT(DATETIME, CONVERT(VARCHAR(15), [run_date])) >= @date ORDER BY [sjh].[run_date] DESC , [sjh].[run_time] DESC go USE [msdb] go /* This code summarises details of SQLAgent jobs that failed to complete successfully and where the email notification failed too. Jonathan Allen Jul 2012 */ DECLARE @Date DATETIME SELECT @Date = DATEADD(d, DATEDIFF(d, '19000101', GETDATE()) - 1, '19000101') SELECT [s].name , [s2].[step_id] , CONVERT(DATETIME, CONVERT(VARCHAR(15), [s2].[run_date])) AS [rundate] , COUNT(*) AS [execution count] FROM [dbo].[sysjobs] AS s INNER JOIN [dbo].[sysjobhistory] AS s2 ON [s].[job_id] = [s2].[job_id] WHERE [s2].[message] LIKE '%failed to notify%' AND CONVERT(DATETIME, CONVERT(VARCHAR(15), [s2].[run_date])) >= @date AND [s2].[run_status] = 0 GROUP BY name , [s2].[step_id] , [s2].[run_date] ORDER BY [s2].[run_dateDESC] These two result sets will show if there are any SQL Agent jobs that have run on your servers that failed and failed to successfully email about the failure. I hope it’s of use to you. Disclaimer – Jonathan is a Friend of Red Gate and as such, whenever they are discussed, will have a generally positive disposition towards Red Gate tools. Other tools are often available and you should always try others before you come back and buy the Red Gate ones. All code in this blog is provided “as is” and no guarantee, warranty or accuracy is applicable or inferred, run the code on a test server and be sure to understand it before you run it on a server that means a lot to you or your manager.

    Read the article

  • Returning Identity Value in SQL Server: @@IDENTITY Vs SCOPE_IDENTITY Vs IDENT_CURRENT

    - by Arefin Ali
    We have some common misconceptions on returning the last inserted identity value from tables. To return the last inserted identity value we have options to use @@IDENTITY or SCOPE_IDENTITY or IDENT_CURRENT function depending on the requirement but it will be a real mess if anybody uses anyone of these functions without knowing exact purpose. So here I want to share my thoughts on this. @@IDENTITY, SCOPE_IDENTITY and IDENT_CURRENT are almost similar functions in terms of returning identity value. They all return values that are inserted into an identity column. Earlier in SQL Server 7 we used to use @@IDENTITY to return the last inserted identity value because those days we don’t have functions like SCOPE_IDENTITY or IDENT_CURRENT but now we have these three functions. So let’s check out which one responsible for what. IDENT_CURRENT returns the last inserted identity value in a particular table. It never depends on a connection or the scope of the insert statement. IDENT_CURRENT function takes a table name as parameter. Here is the syntax to get the last inserted identity value in a particular table using IDENT_CURRENT function. SELECT IDENT_CURRENT('Employee') Both the @@IDENTITY and SCOPE_IDENTITY return the last inserted identity value created in any table in the current session. But there is little difference between these two i.e. SCOPE_IDENTITY returns value inserted only within the current scope whereas @@IDENTITY is not limited to any particular scope. Here are the syntaxes to get the last inserted identity value using these functions SELECT @@IDENTITY SELECT SCOPE_IDENTITY() Now let’s have a look at the following example. Suppose I have two tables called Employee and EmployeeLog. CREATE TABLE Employee ( EmpId NUMERIC(18, 0) IDENTITY(1,1) NOT NULL, EmpName VARCHAR(100) NOT NULL, EmpSal FLOAT NOT NULL, DateOfJoining DATETIME NOT NULL DEFAULT(GETDATE()) ) CREATE TABLE EmployeeLog ( EmpId NUMERIC(18, 0) IDENTITY(1,1) NOT NULL, EmpName VARCHAR(100) NOT NULL, EmpSal FLOAT NOT NULL, DateOfJoining DATETIME NOT NULL DEFAULT(GETDATE()) ) I have an insert trigger defined on the table Employee which inserts a new record in the EmployeeLog whenever a record insert in the Employee table. So Suppose I insert a new record in the Employee table using following statement: INSERT INTO Employee (EmpName,EmpSal) VALUES ('Arefin','1') The trigger will be fired automatically and insert a record in EmployeeLog. Here the scope of the insert statement and the trigger are different. In this situation if I retrieve last inserted identity value using @@IDENTITY, it will simply return the identity value from the EmployeeLog because it’s not limited to a particular scope. Now if I want to get the Employee table’s identity value then I need to use SCOPE_IDENTITY in this scenario. So the moral is always use SCOPE_IDENTITY to return the identity value of a recently created record in a sql statement or stored procedure. It’s safe and ensures bug free code.

    Read the article

  • Returning Identity Value in SQL Server: @@IDENTITY Vs SCOPE_IDENTITY Vs IDENT_CURRENT

    - by Arefin Ali
    We have some common misconceptions on returning the last inserted identity value from tables. To return the last inserted identity value we have options to use @@IDENTITY or SCOPE_IDENTITY or IDENT_CURRENT function depending on the requirement but it will be a real mess if anybody uses anyone of these functions without knowing exact purpose. So here I want to share my thoughts on this. @@IDENTITY, SCOPE_IDENTITY and IDENT_CURRENT are almost similar functions in terms of returning identity value. They all return values that are inserted into an identity column. Earlier in SQL Server 7 we used to use @@IDENTITY to return the last inserted identity value because those days we don’t have functions like SCOPE_IDENTITY or IDENT_CURRENT but now we have these three functions. So let’s check out which one responsible for what. IDENT_CURRENT returns the last inserted identity value in a particular table. It never depends on a connection or the scope of the insert statement. IDENT_CURRENT function takes a table name as parameter. Here is the syntax to get the last inserted identity value in a particular table using IDENT_CURRENT function. SELECT IDENT_CURRENT('Employee') Both the @@IDENTITY and SCOPE_IDENTITY return the last inserted identity value created in any table in the current session. But there is little difference between these two i.e. SCOPE_IDENTITY returns value inserted only within the current scope whereas @@IDENTITY is not limited to any particular scope. Here are the syntaxes to get the last inserted identity value using these functions SELECT @@IDENTITYSELECT SCOPE_IDENTITY() Now let’s have a look at the following example. Suppose I have two tables called Employee and EmployeeLog. CREATE TABLE Employee( EmpId NUMERIC(18, 0) IDENTITY(1,1) NOT NULL, EmpName VARCHAR(100) NOT NULL, EmpSal FLOAT NOT NULL, DateOfJoining DATETIME NOT NULL DEFAULT(GETDATE()))CREATE TABLE EmployeeLog( EmpId NUMERIC(18, 0) IDENTITY(1,1) NOT NULL, EmpName VARCHAR(100) NOT NULL, EmpSal FLOAT NOT NULL, DateOfJoining DATETIME NOT NULL DEFAULT(GETDATE())) I have an insert trigger defined on the table Employee which inserts a new record in the EmployeeLog whenever a record insert in the Employee table. So Suppose I insert a new record in the Employee table using following statement: INSERT INTO Employee (EmpName,EmpSal) VALUES ('Arefin','1') The trigger will be fired automatically and insert a record in EmployeeLog. Here the scope of the insert statement and the trigger are different. In this situation if I retrieve last inserted identity value using @@IDENTITY, it will simply return the identity value from the EmployeeLog because it’s not limited to a particular scope. Now if I want to get the Employee table’s identity value then I need to use SCOPE_IDENTITY in this scenario. So the moral is always use SCOPE_IDENTITY to return the identity value of a recently created record in a sql statement or stored procedure. It’s safe and ensures bug free code.

    Read the article

  • Tellago announces SQL Server 2008 R2 BI quick adoption programs

    - by gsusx
    During the last year, we (Tellago) have been involved in various business intelligence initiatives that leverage some emerging BI techniques such as self-service BI or complex event processing (CEP). Specifically, in the last few months, we have partnered with Microsoft to deliver a series of events across the country where we present the different technologies of the SQL Server 2008 R2 BI stack such as PowerPivot, StreamInsight, Ad-Hoc Reporting and Master Data Services. As part of those events...(read more)

    Read the article

  • Writing A Transact SQL (TSQL) Procedure For SQL Server 2008 To Delete Rows From Table Safely

    In this post, we will show and explain a small TSQL Sql Server 2008 procedure that deletes all rows in a table that are older than some specified date.  That is, say the table has 10,000,000 rows in it the accumulated over the past 2 years.  Say you want to delete all but [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • Book Review: The Art of XSD - SQL Server XML schemas

    The 14 chapters of "The Art of XSD”, written by MVP Jacob Sebastian, will take the reader step-by–step all the way from the basics of XML Schema design all the way to advanced topics on SQL Server XML Schema Collections. Reviewer Hima Bindu Vejella gives it an 8/10 rating, and gives us an excellent distilled description of what the book has to offer.

    Read the article

  • Temporarily disabling foreign key constraints in SQL Server

    - by Renso
    Originally posted on: http://geekswithblogs.net/renso/archive/2013/06/24/temporarily-disabling-foreign-key-constraints-in-sql-server.aspxGoal: Is to temporarily disable all foreign key constraint and later enable the Constraint again?Solutions-- Disable all the constraint in databaseEXEC sp_msforeachtable "ALTER TABLE ? NOCHECK CONSTRAINT all"-- Enable all the constraint in databaseEXEC sp_msforeachtable "ALTER TABLE ? WITH CHECK CHECK CONSTRAINT all"

    Read the article

  • SQL SERVER T-SQL Script to Take Database Offline Take Database Online

    Blog reader Joyesh Mitra recently left a comment to one of my very old posts about SQL SERVER 2005 Take Off Line or Detach Database, which I have written focusing on taking the database offline. However, I did not include how to bring the offline database to online in that post. The reason I [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • Procedural, Semi-Procedural and Declarative Programming in SQL

    A lot of the time, the key to making SQL databases perform well is to take a break from the keyboard and rethink the way of approaching the problem; and rethinking in terms of a set-based declarative approach. Joe takes a simple discussion abut a problem with a UDF to illustrate the point that ingrained procedural reflexes can often prevent us from seeing simpler set-based techniques.

    Read the article

  • SQL Search- The Search and the Sequel

    It started out as an experiment to try to explore different ways of creating a software tool that people would want. It ended up as a tool that Red Gate is giving away to the SQL Server community in return for the contribution to the project of so many of Red Gate's friends within the community. But was it easy to do? Bob Cramblitt and Richard Collins went to find out by talking to Tanya Joseph, who managed the project that turned the concept into a product.

    Read the article

  • SQL Developer Data Modeler v3.3 Early Adopter: Link Model Objects Across Designs

    - by thatjeffsmith
    The third post in our “What’s New in SQL Developer Data Modeler v3.3” series, SQL Developer Data Modeler now allows you to link objects across models. If you need to catch up on the earlier posts, here are the first two: New and Improved Search Collaborative Design via Excel Today’s post is a very simple and straightforward discussion on how to share objects across models and designs. In previous releases you could easily copy and paste objects between models and designs. Simply select your object, right-click and select ‘Copy’ Once copied, paste it into your other designs and then make changes as required. Once you paste the object, it is no longer associated with the source it was copied from. You are free to make any changes you want in the new location without affecting the source material. And it works the other way as well – make any changes to the source material and the new object is also unaffected. However. What if you want to LINK a model object instead of COPYING it? In version 3.3, you can now do this. Simply drag and drop the object instead of copy and pasting it. Select the object, in this case a relational model table, and drag it to your other model. It’s as simple as it sounds, here’s a little animated GIF to show you what I’m talking about. Drag and drop between models/designs to LINK an object Notes The ‘linked’ object cannot be modified from the destination space Updating the source object will propagate the changes forward to wherever it’s been linked You can drag a linked object to another design, so dragging from A - B and then from B - C will work Linked objects are annotated in the model with a ‘Chain’ bitmap, see below This object has been linked from another design/model and cannot be modified. A very simple feature, but I like the flexibility here. Copy and paste = new independent object. Drag and drop = linked object.

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 144 145 146 147 148 149 150 151 152 153 154 155  | Next Page >