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  • SQL error with script to create

    - by PapaDaniel
    I used the SQL Server management studio on a table with Create Script to New and did minor changes. Give me an error "Incorrect syntax near '('" for the "(" after "WITH" /* EventType Table Creation */ CREATE TABLE [EventType] ( [pkEventID] [int] IDENTITY(1,1) NOT NULL, [Description] [nvarchar](50) NOT NULL, [BeginDate] [datetime] NOT NULL, [EndDate] [datetime] NOT NULL, [Comments] [nvarchar](500) NOT NULL, CONSTRAINT [PK_EventType] PRIMARY KEY CLUSTERED ( [pkEventID] ASC ) WITH ( PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON ) ON [PRIMARY] ) ON [PRIMARY] GO

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  • Different function returns from command line and within function

    - by Myx
    Hello: I have an extremely bizzare situation: I have a function in MATLAB which calls three other main functions and produces two figures for me. The function reads in an input jpeg image, crops it, segments it using kmeans clustering, and outputs 2 figures to the screen - the original image and the clustered image with the cluster centers indicated. Here is the function in MATLAB: function [textured_avg_x photo_avg_x] = process_database_images() clear all warning off %#ok type_num_max = 3; % type is 1='texture', 2='graph', or 3='photo' type_num_max = 1; img_max_num_photo = 100; % 400 photo images img_max_num_other = 100; % 100 textured, and graph images for type_num = 1:2:type_num_max if(type_num == 3) img_num_max = img_max_num_photo; else img_num_max = img_max_num_other; end img_num_max = 1; for img_num = 1:img_num_max [type img] = load_image(type_num, img_num); %img = imread('..\images\445.jpg'); img = crop_image(img); [IDX k block_bounds features] = segment_image(img); end end end The function segment_image first shows me the color image that was passed in, performs kmeans clustering, and outputs the clustered image. When I run this function on a particular image, I get 3 clusters (which is not what I expect to get). When I run the following commands from the MATLAB command prompt: >> img = imread('..\images\texture\1.jpg'); >> img = crop_image(img); >> segment_image(img); then the first image that is displayed by segment_image is the same as when I run the function (so I know that the clustering is done on the same image) but the number of clusters is 16 (which is what I expect). In fact, when I run my process_database_images() function on my entire image database, EVERY image is evaluated to have 3 clusters (this is a problem), whereas when I test some images individually, I get in the range of 12-16 clusters, which is what I prefer and expect. Why is there such a discrepancy? Am I having some syntax bug in my process_database_images() function? If more code is required from me (i.e. segment_images function, or crop_image function), please let me know. Thanks.

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  • Incorrect syntax near ','.

    - by jeffreyshek
    I get the following error from the SQL Script I am trying to run: Msg 102, Level 15, State 1, Line 10 Incorrect syntax near ','. This is the SQL script: IF NOT EXISTS (SELECT * FROM dbo.sysobjects WHERE id = OBJECT_ID(N'[dbo].HDDB_DataSource]') AND OBJECTPROPERTY(id, N'IsUserTable') = 1) BEGIN CREATE TABLE [dbo].[HDDB_DataSource]( [ID] [int] IDENTITY(1,1) NOT NULL, [Name] [nvarchar](255) NOT NULL, [Type] [nvarchar](50) NOT NULL, [XmlFileName] [nvarchar](255) NULL, [ConnectionString] [nvarchar](255) NULL), CONSTRAINT [PK_DataSource] PRIMARY KEY CLUSTERED ( [ID] ASC ) ON [PRIMARY] ) ON [PRIMARY] END I am using SQL Server 2005 if that helps. Jeff

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  • MATLAB: different function returns from command line and within function

    - by Myx
    Hello: I have an extremely bizzare situation: I have a function in MATLAB which calls three other main functions and produces two figures for me. The function reads in an input jpeg image, crops it, segments it using kmeans clustering, and outputs 2 figures to the screen - the original image and the clustered image with the cluster centers indicated. Here is the function in MATLAB: function [textured_avg_x photo_avg_x] = process_database_images() clear all warning off %#ok type_num_max = 3; % type is 1='texture', 2='graph', or 3='photo' type_num_max = 1; img_max_num_photo = 100; % 400 photo images img_max_num_other = 100; % 100 textured, and graph images for type_num = 1:2:type_num_max if(type_num == 3) img_num_max = img_max_num_photo; else img_num_max = img_max_num_other; end img_num_max = 1; for img_num = 1:img_num_max [type img] = load_image(type_num, img_num); %img = imread('..\images\445.jpg'); img = crop_image(img); [IDX k block_bounds features] = segment_image(img); end end end The function segment_image first shows me the color image that was passed in, performs kmeans clustering, and outputs the clustered image. When I run this function on a particular image, I get 3 clusters (which is not what I expect to get). When I run the following commands from the MATLAB command prompt: >> img = imread('..\images\texture\1.jpg'); >> img = crop_image(img); >> segment_image(img); then the first image that is displayed by segment_image is the same as when I run the function (so I know that the clustering is done on the same image) but the number of clusters is 16 (which is what I expect). In fact, when I run my process_database_images() function on my entire image database, EVERY image is evaluated to have 3 clusters (this is a problem), whereas when I test some images individually, I get in the range of 12-16 clusters, which is what I prefer and expect. Why is there such a discrepancy? Am I having some syntax bug in my process_database_images() function? If more code is required from me (i.e. segment_images function, or crop_image function), please let me know. Thanks.

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  • MVC Entity Framework Model not returning correct data

    - by quagland
    Hi, Run into a strange problem while writing an ASP.NET MVC site. I have a view in my SQL Server database that returns a few date ranges. The view works fine when running the query in SSMS. When the view data is returned by the Entity Framework Model, It returns the correct number of rows but some of the rows are duplicated. Here is an example of what I have done: SQL Server code: CREATE TABLE [dbo].[A]( [ID] [int] NOT NULL, [PhID] [int] NULL, [FromDate] [datetime] NULL, [ToDate] [datetime] NULL, CONSTRAINT [PK_A] PRIMARY KEY CLUSTERED ([ID] ASC)) ON [PRIMARY] go CREATE TABLE [dbo].[B]( [PhID] [int] NOT NULL, [FromDate] [datetime] NULL, [ToDate] [datetime] NULL, CONSTRAINT [PK_B] PRIMARY KEY CLUSTERED ( [PhID] ASC )) ON [PRIMARY] go CREATE VIEW C as SELECT A.ID, CASE WHEN A.PhID IS NULL THEN A.FromDate ELSE B.FromDate END AS FromDate, CASE WHEN A.PhID IS NULL THEN A.ToDate ELSE B.ToDate END AS ToDate FROM A LEFT OUTER JOIN B ON A.PhID = B.PhID go INSERT INTO B (PhID, FromDate, ToDate) VALUES (100, '20100615', '20100715') INSERT INTO A (ID, PhID, FromDate, ToDate) VALUES (1, NULL, '20100101', '20100201') INSERT INTO A (ID, PhID, FromDate, ToDate) VALUES (1, 100, '20100615', '20100715') INSERT INTO B (PhID, FromDate, ToDate) VALUES (101, '20101201', '20101231') INSERT INTO A (ID, PhID, FromDate, ToDate) VALUES (2, NULL, '20100801', '20100901') INSERT INTO A (ID, PhID, FromDate, ToDate) VALUES (2, 101, '20101201', '20101231') So now, if you select all from C, you get 4 separate date ranges In the Entity Framework Model (which I call 'Core'), the view 'C' is added. in MVC Controller: public class HomeController : Controller { public ActionResult Index() { CoreEntities db = new CoreEntities(); var clist = from c in db.C select c; return View(clist.ToList()); } } in MVC View: @model List<RM.Models.C> @{ foreach (RM.Models.C c in Model) { @String.Format("{0:dd-MMM-yyyy}", c.FromDate) <span>-</span> @String.Format("{0:dd-MMM-yyyy}", c.ToDate) <br /> } } When I run all this, it outputs this: 01-Jan-2010 - 01-Feb-2010 01-Jan-2010 - 01-Feb-2010 01-Aug-2010 - 01-Sep-2010 01-Aug-2010 - 01-Sep-2010 When it should do this (this is what the view returns): 01-Jan-2010 - 01-Feb-2010 15-Jun-2010 - 15-Jul-2010 01-Aug-2010 - 01-Sep-2010 01-Dec-2010 - 31-Dec-2010 Also, I've run the SQL profiler over it and according to that, the query being executed is: SELECT [Extent1].[ID] AS [ID], [Extent1].[FromDate] AS [FromDate], [Extent1].[ToDate] AS [ToDate] FROM (SELECT [C].[ID] AS [ID], [C].[FromDate] AS [FromDate], [C].[ToDate] AS [ToDate] FROM [dbo].[C] AS [C]) AS [Extent1] Which returns the correct data So it seems that the entity framework is doing something to the data in the meantime. To me, everything looks fine! Have I missed something? Cheers, Ben

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  • Table clusters in SQLServer

    - by Bruno Martinez
    In Oracle, a table cluster is a group of tables that share common columns and store related data in the same blocks. When tables are clustered, a single data block can contain rows from multiple tables. For example, a block can store rows from both the employees and departments tables rather than from only a single table: http://download.oracle.com/docs/cd/E11882_01/server.112/e10713/tablecls.htm#i25478 Can this be done in SQLServer?

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  • Client server architecture question

    - by Shane Fulmer
    I am working on a client server system, and am running into issues where multiple clients are executing an action at the same time. We are able to solve this by locking on the critical section of code, which ensures that the first client will complete the action before the second client enters the code block. My question is this: our server is also clustered, so multiple instances of the server itself can exist, which recreates the same problem as before. How could we solve this problem? Thanks!

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  • Implementing a hilbert map of the internet

    - by Martin
    In the XKCD comic 195 a design for a map of the internet address space is suggested using a hilbert curve so that items from a similar IPs will be clustered together. Given an IP address, how would I calculate the 2D coordinates (in the range zero to one) that this IP is located on such a map?

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  • Database maintenance, big binary table optimization

    - by jgemedina
    Hi i have a huge database, around 1 TB in size, most of the space is consumed by a table which stores images, the tables has right now almost 800k rows. server response time has increased, i would like to know which techniques should i use or you recomend, partitioning? o how to reorganize the table every row is accessed by the image id column, and it has its clustered index by that column, and every two days i reorganize the index and every 7 days i rebuild it, but it seems not to be working any suggestions?

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  • can this simple SQL query be optimized?

    - by ibiza
    Hi, I have the following query : SELECT COUNT(*) FROM Address adr INNER JOIN Auditable a on adr.UniqueId = a.UniqueId on a big DB (1.3M adresses, 4M+ auditables) both UniqueId columns are clustered primary keys the query is taking quite long to complete...I feel dumb, but is there any way to optimize it? I want to count all the address entries that have an underlying auditable... thanks!

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  • How to manage user authentication/sessions?

    - by Dan
    What is the best way to manage user authentication/sessions in a web app, ideally in a clustered environment, using Spring Framework/MVC? I thought of creating a login bean that creates a jsession for authenticated users and then using AOP to check for the jsession before each controller method inovcation. If there isn't a better way, what are some possible alternatives? Thanks.

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  • Does table (string, string) require index?

    - by abatishchev
    In my database running on SQL Server 2008 R2 I have a special table for global variables: CREATE TABLE global_variables ( name NVARCHAR(50), value NVARCHAR(50) NOT NULL CONSTRAINT PK_global_variables PRIMARY KEY CLUSTERED ( name ASC ) WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO Does such table require indexing on value or not?

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  • Is a primary key automatically an index?

    - by Lieven Cardoen
    If I run Profiler, then it suggests a lot of indexes like this one CREATE CLUSTERED INDEX [_dta_index_Users_c_9_292912115__K1] ON [dbo].[Users] ( [UserId] ASC )WITH (SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF) ON [PRIMARY] UserId is the primary key of the table Users. Is this index better than the one already in the table: ALTER TABLE [dbo].[Users] ADD CONSTRAINT [PK_Users] PRIMARY KEY NONCLUSTERED ( [UserId] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]

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  • What does ON [PRIMARY] mean?

    - by Icono123
    I'm creating an SQL setup script and I'm using someone else's script as an example. Here's an example of the script: SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO CREATE TABLE [dbo].[be_Categories]( [CategoryID] [uniqueidentifier] ROWGUIDCOL NOT NULL CONSTRAINT [DF_be_Categories_CategoryID] DEFAULT (newid()), [CategoryName] [nvarchar](50) NULL, [Description] [nvarchar](200) NULL, [ParentID] [uniqueidentifier] NULL, CONSTRAINT [PK_be_Categories] PRIMARY KEY CLUSTERED ( [CategoryID] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO Does anyone know what the ON [PRIMARY] command does? Regards.

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  • SQL Server 2008 R2 Enterprise won't install on Windows 2008 R2 Enterprise

    - by Carlos Paulino
    I've been trying to install SQL Server on a new Windows Server 2008. I have tried everything but I haven't been able to narrow down the problem. When the installation fails I get " Exit code (Decimal): -2068643839". The problem with this is that according to Microsoft this is a generic error code. I follow their guide to look into the detail.txt inside C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\ But I can't find something that specifies the exact error. Any suggestions ? Thanks in advanced. I uploaded to detail.txt to http://www.megaupload.com/?d=0MV46SZH because it is to big to paste here. Below is the summary.txt ---------- Overall summary: Final result: SQL Server installation failed. To continue, investigate the reason for the failure, correct the problem, uninstall SQL Server, and then rerun SQL Server Setup. Exit code (Decimal): -2068643839 Exit facility code: 1203 Exit error code: 1 Exit message: SQL Server installation failed. To continue, investigate the reason for the failure, correct the problem, uninstall SQL Server, and then rerun SQL Server Setup. Start time: 2011-02-28 11:29:56 End time: 2011-02-28 11:34:45 Requested action: Install Machine Properties: Machine name: SA-SERVER Machine processor count: 8 OS version: Windows Server 2008 R2 OS service pack: Service Pack 1 OS region: United States OS language: English (United States) OS architecture: x64 Process architecture: 64 Bit OS clustered: No Product features discovered: Product Instance Instance ID Feature Language Edition Version Clustered Package properties: Description: SQL Server Database Services 2008 R2 ProductName: SQL Server 2008 R2 Type: RTM Version: 10 SPLevel: 0 Installation location: F:\x64\setup\ Installation edition: ENTERPRISE User Input Settings: ACTION: Install ADDCURRENTUSERASSQLADMIN: True AGTSVCACCOUNT: NT AUTHORITY\SYSTEM AGTSVCPASSWORD: ***** AGTSVCSTARTUPTYPE: Manual ASBACKUPDIR: Backup ASCOLLATION: Latin1_General_CI_AS ASCONFIGDIR: Config ASDATADIR: Data ASDOMAINGROUP: <empty> ASLOGDIR: Log ASPROVIDERMSOLAP: 1 ASSVCACCOUNT: <empty> ASSVCPASSWORD: ***** ASSVCSTARTUPTYPE: Automatic ASSYSADMINACCOUNTS: <empty> ASTEMPDIR: Temp BROWSERSVCSTARTUPTYPE: Disabled CONFIGURATIONFILE: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20110228_112601\ConfigurationFile.ini CUSOURCE: ENABLERANU: False ENU: True ERRORREPORTING: False FARMACCOUNT: <empty> FARMADMINPORT: 0 FARMPASSWORD: ***** FEATURES: SQLENGINE,BIDS,CONN,IS,BC,SDK,SSMS,ADV_SSMS,SNAC_SDK,OCS FILESTREAMLEVEL: 0 FILESTREAMSHARENAME: <empty> FTSVCACCOUNT: <empty> FTSVCPASSWORD: ***** HELP: False IACCEPTSQLSERVERLICENSETERMS: False INDICATEPROGRESS: False INSTALLSHAREDDIR: C:\Program Files\Microsoft SQL Server\ INSTALLSHAREDWOWDIR: C:\Program Files (x86)\Microsoft SQL Server\ INSTALLSQLDATADIR: <empty> INSTANCEDIR: D:\SQLServer INSTANCEID: MSSQLSERVER INSTANCENAME: MSSQLSERVER ISSVCACCOUNT: NT AUTHORITY\SYSTEM ISSVCPASSWORD: ***** ISSVCSTARTUPTYPE: Automatic NPENABLED: 0 PASSPHRASE: ***** PCUSOURCE: PID: ***** QUIET: False QUIETSIMPLE: False ROLE: AllFeatures_WithDefaults RSINSTALLMODE: FilesOnlyMode RSSVCACCOUNT: NT AUTHORITY\NETWORK SERVICE RSSVCPASSWORD: ***** RSSVCSTARTUPTYPE: Automatic SAPWD: ***** SECURITYMODE: SQL SQLBACKUPDIR: <empty> SQLCOLLATION: SQL_Latin1_General_CP1_CI_AS SQLSVCACCOUNT: NT AUTHORITY\SYSTEM SQLSVCPASSWORD: ***** SQLSVCSTARTUPTYPE: Automatic SQLSYSADMINACCOUNTS: SA-SERVER\Administrator SQLTEMPDBDIR: <empty> SQLTEMPDBLOGDIR: <empty> SQLUSERDBDIR: <empty> SQLUSERDBLOGDIR: <empty> SQMREPORTING: False TCPENABLED: 1 UIMODE: Normal X86: False Configuration file: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20110228_112601\ConfigurationFile.ini Detailed results: Feature: Database Engine Services Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: SQL Client Connectivity SDK Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: Integration Services Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: Client Tools Connectivity Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: Management Tools - Complete Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: Management Tools - Basic Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: Client Tools SDK Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: Client Tools Backwards Compatibility Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: Business Intelligence Development Studio Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Feature: Microsoft Sync Framework Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Rules with failures: Global rules: Scenario specific rules: Rules report file: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20110228_112601\SystemConfigurationCheck_Report.htm

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  • Putting indexes in separate filegroup kills our queries

    - by womp
    Can anyone shed some light on this? On our dev boxes, our database resides entirely in the PRIMARY filegroup, and everything works fine. On one of our production servers, recently upgraded from 2005 to 2008, we noticed it was performing slower than it should. On this machine, there are two filegroups - PRIMARY and INDEXES. Both filegroups contain 1 file per logical volume, one logical volume per CPU, (and each logical volume is a RAID 10 of 4 physical disks). We isolated a few queries that were performing fast on the dev boxes and slow (up to 40x slower) on the production machine. Turned out these queries were using the non-clustered indexes that resided in the INDEXES filegroup. Tweaking some of the queries to only use clustered indexes that were in the PRIMARY filegroup dropped their times back to normal. As a final confirmation, we redeployed the same database on the same machine to have everything in PRIMARY, and things went back to normal! Here's the statistics output of one of the queries, run identically on the machine with different filegroup configurations (table names changed to protect the innocent): FAST (everything in PRIMARY filegroup): (3 row(s) affected) Table '0'. Scan count 2, logical reads 14, ... Table '1'. Scan count 0, logical reads 0, ... Table '1'. Scan count 0, logical reads 0, ... Table '2'. Scan count 2, logical reads 7, ... Table '3'. Scan count 2, logical reads 1012, ... Table '4'. Scan count 1, logical reads 3, ... SQL Server Execution Times: CPU time = 437 ms, elapsed time = 445 ms. SLOW (indexes split into their own filegroup): (3 row(s) affected) Table '0'. Scan count 209, logical reads 428, ... Table '1'. Scan count 0, logical reads 0,... Table '2'. Scan count 1021, logical reads 9043,.... Table '3'. Scan count 209, logical reads 105754, .... Table '4'. Scan count 0, logical reads 0, .... Table '5'. Scan count 1, logical reads 695, ... **Table '#46DA8CA9'. Scan count 205, logical reads 205, ...** Table '6'. Scan count 6, logical reads 436, ... Table '7'. Scan count 1, logical reads 12,.... SQL Server Execution Times: CPU time = 17581 ms, elapsed time = 17595 ms. Notice the weird temp table and extra tables involved in the slow query. It seems clear that having a second file group is making SQL Server batty with choosing an execution plan. What the heck is going on?

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  • Looking for advice on Hyper-v storage replication

    - by Notre1
    I am designing a 2-host Hyper-V R2 cluster with 6-10 guests stored on a SMB iSCSI SAN device (probably Promise VessRAID). I will be getting at least two of the SAN devices and need to eliminate the storage a single point of failure. Ideally, that would involve real-time failover for the storage, like the Windows failover clustering does for the hosts. This design will be used at around six of our sites, and I would like to allow for us to eventually setup a cluster at colocation site and replicate each site's VMs there for DR. (Ideally a live multi-site cluster, but a manual import of the VMs would be fine for this sort of DR.) The tools that come with enterprise SANs, like EMC and NetApp, seem to be the most commonly used items for a Hyper-V cluster, but I can't afford their prices with my budget. Outside of them, the two tools that seem to be most common for Hyper-V storage replication are SteelEye (now SIOS) DataKeeper Cluster Edition and Double-Take Availability. Originally, I was planning on using Clustered Shared Volume(s) (CSV), but it seems like replication support for these is either not available or brand new in both these products. It looks like CSVs are supported in Double-Take 5.22, see this discussion, but I don't think I want to run something that new in production. Right now, it seems like the best option for me is not to implement CSVs, implement some sort of storage replication, and upgrade to CSVs at a later date once replicating them is more mature. I would love to have live migration, and CSVs are not required for live migration if you are using one LUN per VM, so I guess this is what I'll do. I would prefer to stick to the using the Microsoft Windows Server and Hyper-V tools and features as much as possible. From that standpoint, SteelEye looks more appealing than Double-Take because they make the DataKeeper volume(s) available to the Failover Clustering Manager and then failover clustering is all configured and managed through the native Microsoft tools. Double-Take says that "clustered Hyper-V hosts are not supported," and Double-Take Availability itself seems to be what is used for the actual clustering and failover. Does anyone know if any of these replication tools work with more than two hosts in the cluster? All the information I can find on the web only uses two hosts in their examples. Are there any better tools than SteelEye and Double-Take for doing what I am trying to do, which is eliminate the storage as as single point of failure? Neverfail, AppAssure, and DataCore all seem to offer similar functionality, but they don't seems to be as popular as SteelEye and Double-Take. I have seen a number of people suggest using Starwind iSCSI SAN software for the shared storage, which includes replication (and CSV replication at that). There are a couple of reasons I have not seriously considered this route: 1) The company I work for is exclusively a Dell shop and Dell does not have any servers with that I can pack with more than six 3.5" SATA drives. 2) In the future, it could be advantegous for us to not be locked into a particular brand or type of storage and third-party replication softwares all allow replication to heterogeneous storage devices. I am pretty new to iSCSI and clustering, so please let me know if it looks like I am planning something that goes against best practices or overlooking/missing something.

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  • Looking for advice on Hyper-v storage replication

    - by Notre1
    I am designing a 2-host Hyper-V R2 cluster with 6-10 guests stored on a SMB iSCSI SAN device (probably Promise VessRAID). I will be getting at least two of the SAN devices and need to eliminate the storage a single point of failure. Ideally, that would involve real-time failover for the storage, like the Windows failover clustering does for the hosts. This design will be used at around six of our sites, and I would like to allow for us to eventually setup a cluster at colocation site and replicate each site's VMs there for DR. (Ideally a live multi-site cluster, but a manual import of the VMs would be fine for this sort of DR.) The tools that come with enterprise SANs, like EMC and NetApp, seem to be the most commonly used items for a Hyper-V cluster, but I can't afford their prices with my budget. Outside of them, the two tools that seem to be most common for Hyper-V storage replication are SteelEye (now SIOS) DataKeeper Cluster Edition and Double-Take Availability. Originally, I was planning on using Clustered Shared Volume(s) (CSV), but it seems like replication support for these is either not available or brand new in both these products. It looks like CSVs are supported in Double-Take 5.22, see this discussion, but I don't think I want to run something that new in production. Right now, it seems like the best option for me is not to implement CSVs, implement some sort of storage replication, and upgrade to CSVs at a later date once replicating them is more mature. I would love to have live migration, and CSVs are not required for live migration if you are using one LUN per VM, so I guess this is what I'll do. I would prefer to stick to the using the Microsoft Windows Server and Hyper-V tools and features as much as possible. From that standpoint, SteelEye looks more appealing than Double-Take because they make the DataKeeper volume(s) available to the Failover Clustering Manager and then failover clustering is all configured and managed through the native Microsoft tools. Double-Take says that "clustered Hyper-V hosts are not supported," and Double-Take Availability itself seems to be what is used for the actual clustering and failover. Does anyone know if any of these replication tools work with more than two hosts in the cluster? All the information I can find on the web only uses two hosts in their examples. Are there any better tools than SteelEye and Double-Take for doing what I am trying to do, which is eliminate the storage as as single point of failure? Neverfail, AppAssure, and DataCore all seem to offer similar functionality, but they don't seems to be as popular as SteelEye and Double-Take. I have seen a number of people suggest using Starwind iSCSI SAN software for the shared storage, which includes replication (and CSV replication at that). There are a couple of reasons I have not seriously considered this route: 1) The company I work for is exclusively a Dell shop and Dell does not have any servers with that I can pack with more than six 3.5" SATA drives. 2) In the future, it could be advantegous for us to not be locked into a particular brand or type of storage and third-party replication softwares all allow replication to heterogeneous storage devices. I am pretty new to iSCSI and clustering, so please let me know if it looks like I am planning something that goes against best practices or overlooking/missing something.

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  • Listing common SQL Code Smells.

    - by Phil Factor
    Once you’ve done a number of SQL Code-reviews, you’ll know those signs in the code that all might not be well. These ’Code Smells’ are coding styles that don’t directly cause a bug, but are indicators that all is not well with the code. . Kent Beck and Massimo Arnoldi seem to have coined the phrase in the "OnceAndOnlyOnce" page of www.C2.com, where Kent also said that code "wants to be simple". Bad Smells in Code was an essay by Kent Beck and Martin Fowler, published as Chapter 3 of the book ‘Refactoring: Improving the Design of Existing Code’ (ISBN 978-0201485677) Although there are generic code-smells, SQL has its own particular coding habits that will alert the programmer to the need to re-factor what has been written. See Exploring Smelly Code   and Code Deodorants for Code Smells by Nick Harrison for a grounding in Code Smells in C# I’ve always been tempted by the idea of automating a preliminary code-review for SQL. It would be so useful to trawl through code and pick up the various problems, much like the classic ‘Lint’ did for C, and how the Code Metrics plug-in for .NET Reflector by Jonathan 'Peli' de Halleux is used for finding Code Smells in .NET code. The problem is that few of the standard procedural code smells are relevant to SQL, and we need an agreed list of code smells. Merrilll Aldrich made a grand start last year in his blog Top 10 T-SQL Code Smells.However, I'd like to make a start by discovering if there is a general opinion amongst Database developers what the most important SQL Smells are. One can be a bit defensive about code smells. I will cheerfully write very long stored procedures, even though they are frowned on. I’ll use dynamic SQL occasionally. You can only use them as an aid for your own judgment and it is fine to ‘sign them off’ as being appropriate in particular circumstances. Also, whole classes of ‘code smells’ may be irrelevant for a particular database. The use of proprietary SQL, for example, is only a ‘code smell’ if there is a chance that the database will have to be ported to another RDBMS. The use of dynamic SQL is a risk only with certain security models. As the saying goes,  a CodeSmell is a hint of possible bad practice to a pragmatist, but a sure sign of bad practice to a purist. Plamen Ratchev’s wonderful article Ten Common SQL Programming Mistakes lists some of these ‘code smells’ along with out-and-out mistakes, but there are more. The use of nested transactions, for example, isn’t entirely incorrect, even though the database engine ignores all but the outermost: but it does flag up the possibility that the programmer thinks that nested transactions are supported. If anything requires some sort of general agreement, the definition of code smells is one. I’m therefore going to make this Blog ‘dynamic, in that, if anyone twitters a suggestion with a #SQLCodeSmells tag (or sends me a twitter) I’ll update the list here. If you add a comment to the blog with a suggestion of what should be added or removed, I’ll do my best to oblige. In other words, I’ll try to keep this blog up to date. The name against each 'smell' is the name of the person who Twittered me, commented about or who has written about the 'smell'. it does not imply that they were the first ever to think of the smell! Use of deprecated syntax such as *= (Dave Howard) Denormalisation that requires the shredding of the contents of columns. (Merrill Aldrich) Contrived interfaces Use of deprecated datatypes such as TEXT/NTEXT (Dave Howard) Datatype mis-matches in predicates that rely on implicit conversion.(Plamen Ratchev) Using Correlated subqueries instead of a join   (Dave_Levy/ Plamen Ratchev) The use of Hints in queries, especially NOLOCK (Dave Howard /Mike Reigler) Few or No comments. Use of functions in a WHERE clause. (Anil Das) Overuse of scalar UDFs (Dave Howard, Plamen Ratchev) Excessive ‘overloading’ of routines. The use of Exec xp_cmdShell (Merrill Aldrich) Excessive use of brackets. (Dave Levy) Lack of the use of a semicolon to terminate statements Use of non-SARGable functions on indexed columns in predicates (Plamen Ratchev) Duplicated code, or strikingly similar code. Misuse of SELECT * (Plamen Ratchev) Overuse of Cursors (Everyone. Special mention to Dave Levy & Adrian Hills) Overuse of CLR routines when not necessary (Sam Stange) Same column name in different tables with different datatypes. (Ian Stirk) Use of ‘broken’ functions such as ‘ISNUMERIC’ without additional checks. Excessive use of the WHILE loop (Merrill Aldrich) INSERT ... EXEC (Merrill Aldrich) The use of stored procedures where a view is sufficient (Merrill Aldrich) Not using two-part object names (Merrill Aldrich) Using INSERT INTO without specifying the columns and their order (Merrill Aldrich) Full outer joins even when they are not needed. (Plamen Ratchev) Huge stored procedures (hundreds/thousands of lines). Stored procedures that can produce different columns, or order of columns in their results, depending on the inputs. Code that is never used. Complex and nested conditionals WHILE (not done) loops without an error exit. Variable name same as the Datatype Vague identifiers. Storing complex data  or list in a character map, bitmap or XML field User procedures with sp_ prefix (Aaron Bertrand)Views that reference views that reference views that reference views (Aaron Bertrand) Inappropriate use of sql_variant (Neil Hambly) Errors with identity scope using SCOPE_IDENTITY @@IDENTITY or IDENT_CURRENT (Neil Hambly, Aaron Bertrand) Schemas that involve multiple dated copies of the same table instead of partitions (Matt Whitfield-Atlantis UK) Scalar UDFs that do data lookups (poor man's join) (Matt Whitfield-Atlantis UK) Code that allows SQL Injection (Mladen Prajdic) Tables without clustered indexes (Matt Whitfield-Atlantis UK) Use of "SELECT DISTINCT" to mask a join problem (Nick Harrison) Multiple stored procedures with nearly identical implementation. (Nick Harrison) Excessive column aliasing may point to a problem or it could be a mapping implementation. (Nick Harrison) Joining "too many" tables in a query. (Nick Harrison) Stored procedure returning more than one record set. (Nick Harrison) A NOT LIKE condition (Nick Harrison) excessive "OR" conditions. (Nick Harrison) User procedures with sp_ prefix (Aaron Bertrand) Views that reference views that reference views that reference views (Aaron Bertrand) sp_OACreate or anything related to it (Bill Fellows) Prefixing names with tbl_, vw_, fn_, and usp_ ('tibbling') (Jeremiah Peschka) Aliases that go a,b,c,d,e... (Dave Levy/Diane McNurlan) Overweight Queries (e.g. 4 inner joins, 8 left joins, 4 derived tables, 10 subqueries, 8 clustered GUIDs, 2 UDFs, 6 case statements = 1 query) (Robert L Davis) Order by 3,2 (Dave Levy) MultiStatement Table functions which are then filtered 'Sel * from Udf() where Udf.Col = Something' (Dave Ballantyne) running a SQL 2008 system in SQL 2000 compatibility mode(John Stafford)

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  • SQL SERVER – Weekly Series – Memory Lane – #048

    - by Pinal Dave
    Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Order of Result Set of SELECT Statement on Clustered Indexed Table When ORDER BY is Not Used Above theory is true in most of the cases. However SQL Server does not use that logic when returning the resultset. SQL Server always returns the resultset which it can return fastest.In most of the cases the resultset which can be returned fastest is the resultset which is returned using clustered index. Effect of TRANSACTION on Local Variable – After ROLLBACK and After COMMIT One of the Jr. Developer asked me this question (What will be the Effect of TRANSACTION on Local Variable – After ROLLBACK and After COMMIT?) while I was rushing to an important meeting. I was getting late so I asked him to talk with his Application Tech Lead. When I came back from meeting both of them were looking for me. They said they are confused. I quickly wrote down following example for them. 2008 SQL SERVER – Guidelines and Coding Standards Complete List Download Coding standards and guidelines are very important for any developer on the path of a successful career. A coding standard is a set of guidelines, rules and regulations on how to write code. Coding standards should be flexible enough or should take care of the situation where they should not prevent best practices for coding. They are basically the guidelines that one should follow for better understanding. Download Guidelines and Coding Standards complete List Download Get Answer in Float When Dividing of Two Integer Many times we have requirements of some calculations amongst different fields in Tables. One of the software developers here was trying to calculate some fields having integer values and divide it which gave incorrect results in integer where accurate results including decimals was expected. Puzzle – Computed Columns Datatype Explanation SQL Server automatically does a cast to the data type having the highest precedence. So the result of INT and INT will be INT, but INT and FLOAT will be FLOAT because FLOAT has a higher precedence. If you want a different data type, you need to do an EXPLICIT cast. Renaming SP is Not Good Idea – Renaming Stored Procedure Does Not Update sys.procedures I have written many articles about renaming a tables, columns and procedures SQL SERVER – How to Rename a Column Name or Table Name, here I found something interesting about renaming the stored procedures and felt like sharing it with you all. The interesting fact is that when we rename a stored procedure using SP_Rename command, the Stored Procedure is successfully renamed. But when we try to test the procedure using sp_helptext, the procedure will be having the old name instead of new names. 2009 Insert Values of Stored Procedure in Table – Use Table Valued Function It is clear from the result set that , where I have converted stored procedure logic into the table valued function, is much better in terms of logic as it saves a large number of operations. However, this option should be used carefully. The performance of the stored procedure is “usually” better than that of functions. Interesting Observation – Index on Index View Used in Similar Query Recently, I was working on an optimization project for one of the largest organizations. While working on one of the queries, we came across a very interesting observation. We found that there was a query on the base table and when the query was run, it used the index, which did not exist in the base table. On careful examination, we found that the query was using the index that was on another view. This was very interesting as I have personally never experienced a scenario like this. In simple words, “Query on the base table can use the index created on the indexed view of the same base table.” Interesting Observation – Execution Plan and Results of Aggregate Concatenation Queries Working with SQL Server has never seemed to be monotonous – no matter how long one has worked with it. Quite often, I come across some excellent comments that I feel like acknowledging them as blog posts. Recently, I wrote an article on SQL SERVER – Execution Plan and Results of Aggregate Concatenation Queries Depend Upon Expression Location, which is well received in the community. 2010 I encourage all of you to go through complete series and write your own on the subject. If you write an article and send it to me, I will publish it on this blog with due credit to you. If you write on your own blog, I will update this blog post pointing to your blog post. SQL SERVER – ORDER BY Does Not Work – Limitation of the View 1 SQL SERVER – Adding Column is Expensive by Joining Table Outside View – Limitation of the View 2 SQL SERVER – Index Created on View not Used Often – Limitation of the View 3 SQL SERVER – SELECT * and Adding Column Issue in View – Limitation of the View 4 SQL SERVER – COUNT(*) Not Allowed but COUNT_BIG(*) Allowed – Limitation of the View 5 SQL SERVER – UNION Not Allowed but OR Allowed in Index View – Limitation of the View 6 SQL SERVER – Cross Database Queries Not Allowed in Indexed View – Limitation of the View 7 SQL SERVER – Outer Join Not Allowed in Indexed Views – Limitation of the View 8 SQL SERVER – SELF JOIN Not Allowed in Indexed View – Limitation of the View 9 SQL SERVER – Keywords View Definition Must Not Contain for Indexed View – Limitation of the View 10 SQL SERVER – View Over the View Not Possible with Index View – Limitations of the View 11 2011 Startup Parameters Easy to Configure If you are a regular reader of this blog, you must be aware that I have written about SQL Server Denali recently. Here is the quickest way to reach into the screen where we can change the startup parameters. Go to SQL Server Configuration Manager >> SQL Server Services >> Right Click on the Server >> Properties >> Startup Parameters 2012 Validating Unique Columnname Across Whole Database I sometimes come across very strange requirements and often I do not receive a proper explanation of the same. Here is the one of those examples. For example “Our business requirement is when we add new column we want it unique across current database.” Read the solution to this strange request in this blog post. Excel Losing Decimal Values When Value Pasted from SSMS ResultSet It is very common when users are coping the resultset to Excel, the floating point or decimals are missed. The solution is very much simple and it requires a small adjustment in the Excel. By default Excel is very smart and when it detects the value which is getting pasted is numeric it changes the column format to accommodate that. Basic Calculation and PEMDAS Order of Operation Read this interesting blog post for fantastic conversation about the subject. Copy Column Headers from Resultset – SQL in Sixty Seconds #027 – Video http://www.youtube.com/watch?v=x_-3tLqTRv0 Delete From Multiple Table – Update Multiple Table in Single Statement There are two questions which I get every single day multiple times. In my gmail, I have created standard canned reply for them. Let us see the questions here. I want to delete from multiple table in a single statement how will I do it? I want to update multiple table in a single statement how will I do it? Read the answer in the blog post. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • How to Achieve OC4J RMI Load Balancing

    - by fip
    This is an old, Oracle SOA and OC4J 10G topic. In fact this is not even a SOA topic per se. Questions of RMI load balancing arise when you developed custom web applications accessing human tasks running off a remote SOA 10G cluster. Having returned from a customer who faced challenges with OC4J RMI load balancing, I felt there is still some confusions in the field how OC4J RMI load balancing work. Hence I decide to dust off an old tech note that I wrote a few years back and share it with the general public. Here is the tech note: Overview A typical use case in Oracle SOA is that you are building web based, custom human tasks UI that will interact with the task services housed in a remote BPEL 10G cluster. Or, in a more generic way, you are just building a web based application in Java that needs to interact with the EJBs in a remote OC4J cluster. In either case, you are talking to an OC4J cluster as RMI client. Then immediately you must ask yourself the following questions: 1. How do I make sure that the web application, as an RMI client, even distribute its load against all the nodes in the remote OC4J cluster? 2. How do I make sure that the web application, as an RMI client, is resilient to the node failures in the remote OC4J cluster, so that in the unlikely case when one of the remote OC4J nodes fail, my web application will continue to function? That is the topic of how to achieve load balancing with OC4J RMI client. Solutions You need to configure and code RMI load balancing in two places: 1. Provider URL can be specified with a comma separated list of URLs, so that the initial lookup will land to one of the available URLs. 2. Choose a proper value for the oracle.j2ee.rmi.loadBalance property, which, along side with the PROVIDER_URL property, is one of the JNDI properties passed to the JNDI lookup.(http://docs.oracle.com/cd/B31017_01/web.1013/b28958/rmi.htm#BABDGFBI) More details below: About the PROVIDER_URL The JNDI property java.name.provider.url's job is, when the client looks up for a new context at the very first time in the client session, to provide a list of RMI context The value of the JNDI property java.name.provider.url goes by the format of a single URL, or a comma separate list of URLs. A single URL. For example: opmn:ormi://host1:6003:oc4j_instance1/appName1 A comma separated list of multiple URLs. For examples:  opmn:ormi://host1:6003:oc4j_instanc1/appName, opmn:ormi://host2:6003:oc4j_instance1/appName, opmn:ormi://host3:6003:oc4j_instance1/appName When the client looks up for a new Context the very first time in the client session, it sends a query against the OPMN referenced by the provider URL. The OPMN host and port specifies the destination of such query, and the OC4J instance name and appName are actually the “where clause” of the query. When the PROVIDER URL reference a single OPMN server Let's consider the case when the provider url only reference a single OPMN server of the destination cluster. In this case, that single OPMN server receives the query and returns a list of the qualified Contexts from all OC4Js within the cluster, even though there is a single OPMN server in the provider URL. A context represent a particular starting point at a particular server for subsequent object lookup. For example, if the URL is opmn:ormi://host1:6003:oc4j_instance1/appName, then, OPMN will return the following contexts: appName on oc4j_instance1 on host1 appName on oc4j_instance1 on host2, appName on oc4j_instance1 on host3,  (provided that host1, host2, host3 are all in the same cluster) Please note that One OPMN will be sufficient to find the list of all contexts from the entire cluster that satisfy the JNDI lookup query. You can do an experiment by shutting down appName on host1, and observe that OPMN on host1 will still be able to return you appname on host2 and appName on host3. When the PROVIDER URL reference a comma separated list of multiple OPMN servers When the JNDI propery java.naming.provider.url references a comma separated list of multiple URLs, the lookup will return the exact same things as with the single OPMN server: a list of qualified Contexts from the cluster. The purpose of having multiple OPMN servers is to provide high availability in the initial context creation, such that if OPMN at host1 is unavailable, client will try the lookup via OPMN on host2, and so on. After the initial lookup returns and cache a list of contexts, the JNDI URL(s) are no longer used in the same client session. That explains why removing the 3rd URL from the list of JNDI URLs will not stop the client from getting the EJB on the 3rd server. About the oracle.j2ee.rmi.loadBalance Property After the client acquires the list of contexts, it will cache it at the client side as “list of available RMI contexts”.  This list includes all the servers in the destination cluster. This list will stay in the cache until the client session (JVM) ends. The RMI load balancing against the destination cluster is happening at the client side, as the client is switching between the members of the list. Whether and how often the client will fresh the Context from the list of Context is based on the value of the  oracle.j2ee.rmi.loadBalance. The documentation at http://docs.oracle.com/cd/B31017_01/web.1013/b28958/rmi.htm#BABDGFBI list all the available values for the oracle.j2ee.rmi.loadBalance. Value Description client If specified, the client interacts with the OC4J process that was initially chosen at the first lookup for the entire conversation. context Used for a Web client (servlet or JSP) that will access EJBs in a clustered OC4J environment. If specified, a new Context object for a randomly-selected OC4J instance will be returned each time InitialContext() is invoked. lookup Used for a standalone client that will access EJBs in a clustered OC4J environment. If specified, a new Context object for a randomly-selected OC4J instance will be created each time the client calls Context.lookup(). Please note the regardless of the setting of oracle.j2ee.rmi.loadBalance property, the “refresh” only occurs at the client. The client can only choose from the "list of available context" that was returned and cached from the very first lookup. That is, the client will merely get a new Context object from the “list of available RMI contexts” from the cache at the client side. The client will NOT go to the OPMN server again to get the list. That also implies that if you are adding a node to the server cluster AFTER the client’s initial lookup, the client would not know it because neither the server nor the client will initiate a refresh of the “list of available servers” to reflect the new node. About High Availability (i.e. Resilience Against Node Failure of Remote OC4J Cluster) What we have discussed above is about load balancing. Let's also discuss high availability. This is how the High Availability works in RMI: when the client use the context but get an exception such as socket is closed, it knows that the server referenced by that Context is problematic and will try to get another unused Context from the “list of available contexts”. Again, this list is the list that was returned and cached at the very first lookup in the entire client session.

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