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• SQL server deadlock between INSERT and SELECT statement

  - by dtroy

  Hi! I've got a problem with multiple deadlocks on SQL server 2005. This one is between an INSERT and a SELECT statement. There are two tables. Table 1 and Table2. Table2 has Table1's PK (table1_id) as foreign key. Index on table1_id is clustered. The INSERT inserts a single row into table2 at a time. The SELCET joins the 2 tables. (it's a long query which might take up to 12 secs to run) According to my understanding (and experiments) the INSERT should acquire an IS lock on table1 to check referential integrity (which should not cause a deadlock). But, in this case it acquired an IX page lock The deadlock report: <deadlock-list> <deadlock victim="process968898"> <process-list> <process id="process8db1f8" taskpriority="0" logused="2424" waitresource="OBJECT: 5:789577851:0 " waittime="12390" ownerId="61831512" transactionname="user_transaction" lasttranstarted="2010-04-16T07:10:13.347" XDES="0x222a8250" lockMode="IX" schedulerid="1" kpid="3764" status="suspended" spid="52" sbid="0" ecid="0" priority="0" transcount="2" lastbatchstarted="2010-04-16T07:10:13.350" lastbatchcompleted="2010-04-16T07:10:13.347" clientapp=".Net SqlClient Data Provider" hostname="VIDEV01-B-ME" hostpid="3040" loginname="DatabaseName" isolationlevel="read uncommitted (1)" xactid="61831512" currentdb="5" lockTimeout="4294967295" clientoption1="671088672" clientoption2="128056"> <executionStack> <frame procname="DatabaseName.dbo.prcTable2_Insert" line="18" stmtstart="576" stmtend="1148" sqlhandle="0x0300050079e62d06e9307f000b9d00000100000000000000"> INSERT INTO dbo.Table2 ( f1, table1_id, f2 ) VALUES ( @p1, @p_DocumentVersionID, @p1 ) </frame> </executionStack> <inputbuf> Proc [Database Id = 5 Object Id = 103671417] </inputbuf> </process> <process id="process968898" taskpriority="0" logused="0" waitresource="PAGE: 5:1:46510" waittime="7625" ownerId="61831406" transactionname="INSERT" lasttranstarted="2010-04-16T07:10:12.717" XDES="0x418ec00" lockMode="S" schedulerid="2" kpid="1724" status="suspended" spid="53" sbid="0" ecid="0" priority="0" transcount="2" lastbatchstarted="2010-04-16T07:10:12.713" lastbatchcompleted="2010-04-16T07:10:12.713" clientapp=".Net SqlClient Data Provider" hostname="VIDEV01-B-ME" hostpid="3040" loginname="DatabaseName" isolationlevel="read committed (2)" xactid="61831406" currentdb="5" lockTimeout="4294967295" clientoption1="671088672" clientoption2="128056"> <executionStack> <frame procname="DatabaseName.dbo.prcGetList" line="64" stmtstart="3548" stmtend="11570" sqlhandle="0x03000500dbcec17e8d267f000b9d00000100000000000000"> <!-- XXXXXXXXXXXXXX...SELECT STATEMENT WITH Multiple joins including both Table2 table 1 and .... XXXXXXXXXXXXXXX --> </frame> </executionStack> <inputbuf> Proc [Database Id = 5 Object Id = 2126630619] </inputbuf> </process> </process-list> <resource-list> <pagelock fileid="1" pageid="46510" dbid="5" objectname="DatabaseName.dbo.table1" id="lock6236bc0" mode="IX" associatedObjectId="72057594042908672"> <owner-list> <owner id="process8db1f8" mode="IX"/> </owner-list> <waiter-list> <waiter id="process968898" mode="S" requestType="wait"/> </waiter-list> </pagelock> <objectlock lockPartition="0" objid="789577851" subresource="FULL" dbid="5" objectname="DatabaseName.dbo.Table2" id="lock970a240" mode="S" associatedObjectId="789577851"> <owner-list> <owner id="process968898" mode="S"/> </owner-list> <waiter-list> <waiter id="process8db1f8" mode="IX" requestType="wait"/> </waiter-list> </objectlock> </resource-list> </deadlock> </deadlock-list> Can anyone explain why the INSERT gets the IX page lock ? Am I not reading the deadlock report properly? BTW, I have not managed to reproduce this issue. Thanks!

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• Different ways to query this search in SQL?

  - by Bart Terrell

  I am teaching myself MS-SQL and I am trying to find different ways to find the Count of Paid and Unpaid Claims for 2012 grouped by Region from these 3 tables. If there is a returned date, the claim is unpaid if the returned date is null then the claim is paid. I will attach the code I have ran, but I am not sure if there are better ways to do it. Thanks. Here is the code: SET dateformat ymd; CREATE TABLE Claims ( ClaimID INT, SubID INT, [Claim Date] DATETIME ); CREATE TABLE Phoneship ( ClaimID INT, [Shipping Number] INT, [Claim Date] DATETIME, [Ship Date] DATETIME, [Returned Date] DATETIME ); CREATE TABLE Enrollment ( SubID INT, Enrollment_Date DATETIME, Channel NVARCHAR(255), Region NVARCHAR(255), Status FLOAT, Drop_Date DATETIME ); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (102, 201, '2011-10-13 00:00:00', '2011-10-14 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (103, 202, '2011-11-02 00:00:00', '2011-11-03 00:00:00', '2011-11-20 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (103, 203, '2011-11-02 00:00:00', '2011-11-22 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (105, 204, '2012-01-16 00:00:00', '2012-01-17 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (106, 205, '2012-02-15 00:00:00', '2012-02-16 00:00:00', '2012-02-26 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (106, 206, '2012-02-15 00:00:00', '2012-02-27 00:00:00', '2012-03-06 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (107, 207, '2012-03-12 00:00:00', '2012-03-13 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (108, 208, '2012-05-11 00:00:00', '2012-05-12 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (109, 209, '2012-05-13 00:00:00', '2012-05-14 00:00:00', '2012-05-28 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (109, 210, '2012-05-13 00:00:00', '2012-05-30 00:00:00', NULL); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (101, 12345678, '2011-03-06 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (102, 12347190, '2011-10-13 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (103, 12348723, '2011-11-02 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (104, 12349745, '2011-11-09 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (105, 12347190, '2012-01-16 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (106, 12349234, '2012-02-15 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (107, 12350767, '2012-03-12 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (108, 12350256, '2012-05-11 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (109, 12347701, '2012-05-13 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (110, 12350256, '2012-05-15 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (111, 12350767, '2012-06-30 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12345678, '2011-01-05 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12346178, '2011-03-13 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12346679, '2011-05-19 00:00:00', 'Indirect Dealers', 'Southeast', 0, '2012-03-15 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12347190, '2011-07-25 00:00:00', 'Retail', 'Northeast', 0, '2012-05-21 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12347701, '2011-08-14 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12348212, '2011-09-30 00:00:00', 'Retail', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12348723, '2011-10-20 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12349234, '2012-01-06 00:00:00', 'Indirect Dealers', 'West', 0, '2012-02-14 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12349745, '2012-01-26 00:00:00', 'Retail', 'Northeast', 0, '2012-04-15 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12350256, '2012-02-11 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12350767, '2012-03-02 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12351278, '2012-04-18 00:00:00', 'Retail', 'Midwest', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12351789, '2012-05-08 00:00:00', 'Indirect Dealers', 'West', 0, '2012-07-04 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12352300, '2012-06-24 00:00:00', 'Retail', 'Midwest', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12352811, '2012-06-25 00:00:00', 'Retail', 'Southeast', 1, NULL); And Query1 SELECT Count(ClaimID) AS 'Paid Claim', (SELECT Count(ClaimID) FROM dbo.phoneship WHERE [returned date] IS NOT NULL) AS 'Unpaid Claim' FROM dbo.Phoneship WHERE [Returned Date] IS NULL GROUP BY claimid Query2 SELECT Count(*) AS 'Paid Claims', (SELECT Count(*) FROM dbo.Phoneship WHERE [Returned Date] IS NOT NULL) AS 'Unpaid Claims' FROM dbo.Phoneship WHERE [Returned Date] IS NULL; Query3 Select Distinct(C.[Shipping Number]), Count(C.ClaimID) AS 'COUNT ClaimID', A.Region, A.SubID From dbo.HSEnrollment A Inner Join dbo.Claims B On A.SubId = B.SubId Inner Join dbo.Phoneship C On B.ClaimID = C.ClaimID Where C.[Returned Date] IS NULL Group By A.Region, A.Subid, C.ClaimID, C.[Shipping Number] Order By A.Region

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• MMC and Server Manager Authentication Errors - Access Denied

  - by Vazgen

  I'm trying to connect remotely from my Windows 8 client to manage my Hyper-V Server 2012. I have done everything I can find to configure remote management of the server including: Added a net user on server Enabled anonymous dcom access on server and client Added firewall rules for "Windows Firewall Remote Management" and "Windows Management Instrumentation (WMI)" on server Added firewall exception on server for client IP Added cmdkey on client Added server to TrustedHost list on client Added LocalAccountTokenFilter policy registry entry on server Added client IP to server's host file Added server IP to client's host file I cannot believe I am still getting these errors. What's even more strange is that I can connect in Hyper-V Manager and create VM's but not in MMC and Server Manager. I also get Access Denied trying to Open the Authorization Store on my server from my client using Authorization Manager. I'm providing all the errors because I have a feeling they root from the same problem. Does anybody see anything I missed?

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• Apache2 benchmarks - very poor performance

  - by andrzejp

  I have two servers on which I test the configuration of apache2. The first server: 4GB of RAM, AMD Athlon (tm) 64 X2 Dual Core Processor 5600 + Apache 2.2.3, mod_php, mpm prefork: Settings: Timeout 100 KeepAlive On MaxKeepAliveRequests 150 KeepAliveTimeout 4 <IfModule Mpm_prefork_module> StartServers 7 MinSpareServers 15 MaxSpareServers 30 MaxClients 250 MaxRequestsPerChild 2000 </ IfModule> Compiled in modules: core.c mod_log_config.c mod_logio.c prefork.c http_core.c mod_so.c Second server: 8GB of RAM, Intel (R) Core (TM) i7 CPU [email protected] Apache 2.2.9, **fcgid, mpm worker, suexec** PHP scripts are running via fcgi-wrapper Settings: Timeout 100 KeepAlive On MaxKeepAliveRequests 100 KeepAliveTimeout 4 <IfModule Mpm_worker_module> StartServers 10 MaxClients 200 MinSpareThreads 25 MaxSpareThreads 75 ThreadsPerChild 25 MaxRequestsPerChild 1000 </ IfModule> Compiled in modules: core.c mod_log_config.c mod_logio.c worker.c http_core.c mod_so.c The following test results, which are very strange! New server (dynamic content - php via fcgid+suexec): Server Software: Apache/2.2.9 Server Hostname: XXXXXXXX Server Port: 80 Document Path: XXXXXXX Document Length: 179512 bytes Concurrency Level: 10 Time taken for tests: 0.26276 seconds Complete requests: 1000 Failed requests: 0 Total transferred: 179935000 bytes HTML transferred: 179512000 bytes Requests per second: 38.06 Transfer rate: 6847.88 kb/s received Connnection Times (ms) min avg max Connect: 2 4 54 Processing: 161 257 449 Total: 163 261 503 Old server (dynamic content - mod_php): Server Software: Apache/2.2.3 Server Hostname: XXXXXX Server Port: 80 Document Path: XXXXXX Document Length: 187537 bytes Concurrency Level: 10 Time taken for tests: 173.073 seconds Complete requests: 1000 Failed requests: 22 (Connect: 0, Length: 22, Exceptions: 0) Total transferred: 188003372 bytes HTML transferred: 187546372 bytes Requests per second: 5777.91 Transfer rate: 1086267.40 kb/s received Connnection Times (ms) min avg max Connect: 3 3 28 Processing: 298 1724 26615 Total: 301 1727 26643 Old server: Static content (jpg file) Server Software: Apache/2.2.3 Server Hostname: xxxxxxxxx Server Port: 80 Document Path: /images/top2.gif Document Length: 40486 bytes Concurrency Level: 100 Time taken for tests: 3.558 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 Total transferred: 40864400 bytes HTML transferred: 40557482 bytes Requests per second: 281.09 [#/sec] (mean) Time per request: 355.753 [ms] (mean) Time per request: 3.558 [ms] (mean, across all concurrent requests) Transfer rate: 11217.51 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 3 11 4.5 12 23 Processing: 40 329 61.4 339 1009 Waiting: 6 282 55.2 293 737 Total: 43 340 63.0 351 1020 New server - static content (jpg file) Server Software: Apache/2.2.9 Server Hostname: XXXXX Server Port: 80 Document Path: /images/top2.gif Document Length: 40486 bytes Concurrency Level: 100 Time taken for tests: 3.571531 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 Total transferred: 41282792 bytes HTML transferred: 41030080 bytes Requests per second: 279.99 [#/sec] (mean) Time per request: 357.153 [ms] (mean) Time per request: 3.572 [ms] (mean, across all concurrent requests) Transfer rate: 11287.88 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 2 63 24.8 66 119 Processing: 124 278 31.8 282 391 Waiting: 3 70 28.5 66 164 Total: 126 341 35.9 350 443 I noticed that in the apache error.log is a lot of entries: [notice] mod_fcgid: call /www/XXXXX/public_html/forum/index.php with wrapper /www/php-fcgi-scripts/XXXXXX/php-fcgi-starter What I have omitted, or do not understand? Such a difference in requests per second? Is it possible? What could be the cause?

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• How to achieve best performance in DirectX 9.0 while rendering on multiple monitors

  - by Vibhore Tanwer

  I am new to DirectX, and trying to learn best practice. Please suggest what are the best practices for rendering on multiple monitors different things at the same time? how can I boost performance of application? I have gone through this article http://msdn.microsoft.com/en-us/library/windows/desktop/bb147263%28v=vs.85%29.aspx . I am making use of some pixel shaders to achieve some effects. At most 4 effect(4 shader effects) can be applied at same time. What are the best practices to achieve best performance with DirectX 9.0. I read somewhere that DirectX 11 provides support for parallel rendering, but I am not able to get any working sample for DirectX 11.0. Please help me with this, Any help would be of great value. Thanks

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• OBIEE 11.1.1 - Built-in BI Metrics for Performance Monitoring

  - by Ahmed Awan

  You can use Fusion Middleware Control metrics to monitor System Components (BI processes) and WebLogic Server processes.   Tip: ·         Use Oracle Enterprise Manager (EM) URL to monitor end to end OBIEE real time performance: :7001/em"http://<server>:7001/em ·         In Oracle Business Intelligence 11g, the perfmon URL is still valid to use i.e. :9704/analytics/saw.dll?Perfmon"http://<server>:9704/analytics/saw.dll?Perfmon

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• Need help tuning Mysql and linux server

  - by Newtonx

  We have multi-user application (like MailChimp,Constant Contact) . Each of our customers has it's own contact's list (from 5 to 100.000 contacts). Everything is stored in one BIG database (currently 25G). Since we released our product we have the following data history. 5 years of data history : - users/customers (200+) - contacts (40 million records) - campaigns - campaign_deliveries (73.843.764 records) - campaign_queue ( 8 millions currently ) As we get more users and table records increase our system/web app is getting slower and slower . Some queries takes too long to execute . SCHEMA Table contacts --------------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +---------------------+------------------+------+-----+---------+----------------+ | contact_id | int(10) unsigned | NO | PRI | NULL | auto_increment | | client_id | int(10) unsigned | YES | | NULL | | | name | varchar(60) | YES | | NULL | | | mail | varchar(60) | YES | MUL | NULL | | | verified | int(1) | YES | | 0 | | | owner | int(10) unsigned | NO | MUL | 0 | | | date_created | date | YES | MUL | NULL | | | geolocation | varchar(100) | YES | | NULL | | | ip | varchar(20) | YES | MUL | NULL | | +---------------------+------------------+------+-----+---------+----------------+ Table campaign_deliveries +---------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +---------------+------------------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | newsletter_id | int(10) unsigned | NO | MUL | 0 | | | contact_id | int(10) unsigned | NO | MUL | 0 | | | sent_date | date | YES | MUL | NULL | | | sent_time | time | YES | MUL | NULL | | | smtp_server | varchar(20) | YES | | NULL | | | owner | int(5) | YES | MUL | NULL | | | ip | varchar(20) | YES | MUL | NULL | | +---------------+------------------+------+-----+---------+----------------+ Table campaign_queue +---------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +---------------+------------------+------+-----+---------+----------------+ | queue_id | int(10) unsigned | NO | PRI | NULL | auto_increment | | newsletter_id | int(10) unsigned | NO | MUL | 0 | | | owner | int(10) unsigned | NO | MUL | 0 | | | date_to_send | date | YES | | NULL | | | contact_id | int(11) | NO | MUL | NULL | | | date_created | date | YES | | NULL | | +---------------+------------------+------+-----+---------+----------------+ Slow queries LOG -------------------------------------------- Query_time: 350 Lock_time: 1 Rows_sent: 1 Rows_examined: 971004 SELECT COUNT(*) as total FROM contacts WHERE (contacts.owner = 70 AND contacts.verified = 1); Query_time: 235 Lock_time: 1 Rows_sent: 1 Rows_examined: 4455209 SELECT COUNT(*) as total FROM contacts WHERE (contacts.owner = 2); How can we optimize it ? Queries should take no more than 30 secs to execute? Can we optimize it and keep all data in one BIG database or should we change app's structure and set one single database to each user ? Thanks

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• Will JVisualVM degrade application performance?

  - by rocky

  I have doubts in JVisual VM profiler tool related to performance. I have requirement to implement a JVM Monitoring tool for my enterpise java application. I have gone through some profiling tools in market but all them are having some kind of agent file which we need include in server startup. I have a fear that these client agent will degrade my application performance will more. So I have decided to JVisual VM because this profiler tool comes with JDK itself but before implementing JVisualVM, does anybody faces any issues with JVisualVM profiler tool? As well as, is this safe if I implement in application?

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• Using TPL and PLINQ to raise performance of feed aggregator

  - by DigiMortal

  In this posting I will show you how to use Task Parallel Library (TPL) and PLINQ features to boost performance of simple RSS-feed aggregator. I will use here only very basic .NET classes that almost every developer starts from when learning parallel programming. Of course, we will also measure how every optimization affects performance of feed aggregator. Feed aggregator Our feed aggregator works as follows: Load list of blogs Download RSS-feed Parse feed XML Add new posts to database Our feed aggregator is run by task scheduler after every 15 minutes by example. We will start our journey with serial implementation of feed aggregator. Second step is to use task parallelism and parallelize feeds downloading and parsing. And our last step is to use data parallelism to parallelize database operations. We will use Stopwatch class to measure how much time it takes for aggregator to download and insert all posts from all registered blogs. After every run we empty posts table in database. Serial aggregation Before doing parallel stuff let’s take a look at serial implementation of feed aggregator. All tasks happen one after other. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();           for (var index = 0; index <blogs.Count; index++)         {              ImportFeed(blogs[index]);         }     }       private void ImportFeed(BlogDto blog)     {         if(blog == null)             return;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                 }       private void ImportRssFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = RssFeed.Create(uri);           foreach (var item in feed.Channel.Items)         {             SaveRssFeedItem(item, blog.Id, blog.CreatedById);         }     }       private void ImportAtomFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           foreach (var item in feed.Entries)         {             SaveAtomFeedEntry(item, blog.Id, blog.CreatedById);         }     } } Serial implementation of feed aggregator downloads and inserts all posts with 25.46 seconds. Task parallelism Task parallelism means that separate tasks are run in parallel. You can find out more about task parallelism from MSDN page Task Parallelism (Task Parallel Library) and Wikipedia page Task parallelism. Although finding parts of code that can run safely in parallel without synchronization issues is not easy task we are lucky this time. Feeds import and parsing is perfect candidate for parallel tasks. We can safely parallelize feeds import because importing tasks doesn’t share any resources and therefore they don’t also need any synchronization. After getting the list of blogs we iterate through the collection and start new TPL task for each blog feed aggregation. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();                var tasks = new Task[blogs.Count];           for (var index = 0; index <blogs.Count; index++)         {             tasks[index] = new Task(ImportFeed, blogs[index]);             tasks[index].Start();         }           Task.WaitAll(tasks);     }       private void ImportFeed(object blogObject)     {         if(blogObject == null)             return;         var blog = (BlogDto)blogObject;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                }       private void ImportRssFeed(BlogDto blog)     {          var uri = new Uri(blog.RssUrl);          var feed = RssFeed.Create(uri);           foreach (var item in feed.Channel.Items)          {              SaveRssFeedItem(item, blog.Id, blog.CreatedById);          }     }     private void ImportAtomFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           foreach (var item in feed.Entries)         {             SaveAtomFeedEntry(item, blog.Id, blog.CreatedById);         }     } } You should notice first signs of the power of TPL. We made only minor changes to our code to parallelize blog feeds aggregating. On my machine this modification gives some performance boost – time is now 17.57 seconds. Data parallelism There is one more way how to parallelize activities. Previous section introduced task or operation based parallelism, this section introduces data based parallelism. By MSDN page Data Parallelism (Task Parallel Library) data parallelism refers to scenario in which the same operation is performed concurrently on elements in a source collection or array. In our code we have independent collections we can process in parallel – imported feed entries. As checking for feed entry existence and inserting it if it is missing from database doesn’t affect other entries the imported feed entries collection is ideal candidate for parallelization. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();                var tasks = new Task[blogs.Count];           for (var index = 0; index <blogs.Count; index++)         {             tasks[index] = new Task(ImportFeed, blogs[index]);             tasks[index].Start();         }           Task.WaitAll(tasks);     }       private void ImportFeed(object blogObject)     {         if(blogObject == null)             return;         var blog = (BlogDto)blogObject;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                }       private void ImportRssFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = RssFeed.Create(uri);           feed.Channel.Items.AsParallel().ForAll(a =>         {             SaveRssFeedItem(a, blog.Id, blog.CreatedById);         });      }        private void ImportAtomFeed(BlogDto blog)      {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           feed.Entries.AsParallel().ForAll(a =>         {              SaveAtomFeedEntry(a, blog.Id, blog.CreatedById);         });      } } We did small change again and as the result we parallelized checking and saving of feed items. This change was data centric as we applied same operation to all elements in collection. On my machine I got better performance again. Time is now 11.22 seconds. Results Let’s visualize our measurement results (numbers are given in seconds). As we can see then with task parallelism feed aggregation takes about 25% less time than in original case. When adding data parallelism to task parallelism our aggregation takes about 2.3 times less time than in original case. More about TPL and PLINQ Adding parallelism to your application can be very challenging task. You have to carefully find out parts of your code where you can safely go to parallel processing and even then you have to measure the effects of parallel processing to find out if parallel code performs better. If you are not careful then troubles you will face later are worse than ones you have seen before (imagine error that occurs by average only once per 10000 code runs). Parallel programming is something that is hard to ignore. Effective programs are able to use multiple cores of processors. Using TPL you can also set degree of parallelism so your application doesn’t use all computing cores and leaves one or more of them free for host system and other processes. And there are many more things in TPL that make it easier for you to start and go on with parallel programming. In next major version all .NET languages will have built-in support for parallel programming. There will be also new language constructs that support parallel programming. Currently you can download Visual Studio Async to get some idea about what is coming. Conclusion Parallel programming is very challenging but good tools offered by Visual Studio and .NET Framework make it way easier for us. In this posting we started with feed aggregator that imports feed items on serial mode. With two steps we parallelized feed importing and entries inserting gaining 2.3 times raise in performance. Although this number is specific to my test environment it shows clearly that parallel programming may raise the performance of your application significantly.

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• Programmer performance

  - by RSK

  I am a PHP programmer with 1 year of experience. As I am just starting my career, I am learning a lot of things now. I can say I am a little bit of a perfectionist. When I am assigned a problem I start off by Googling. Then, even when I find a solution, I keep trying for a better one until I find 2-3 options. Then I start learning it and choose the best performing solution. Even though I am learning a lot, this process gets me labeled as a low performer. My questions: As a novice, should I continue to use this learning process and not worry about my performance? Should I focus more on my performance and less on how the code performs?

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• OpenGL Performance Questions

  - by Daniel

  This subject, as with any optimisation problem, gets hit on a lot, but I just couldn't find what I (think) I want. A lot of tutorials, and even SO questions have similar tips; generally covering: Use GL face culling (the OpenGL function, not the scene logic) Only send 1 matrix to the GPU (projectionModelView combination), therefore decreasing the MVP calculations from per vertex to once per model (as it should be). Use interleaved Vertices Minimize as many GL calls as possible, batch where appropriate And possibly a few/many others. I am (for curiosity reasons) rendering 28 million triangles in my application using several vertex buffers. I have tried all the above techniques (to the best of my knowledge), and received almost no performance change. Whilst I am receiving around 40FPS in my implementation, which is by no means problematic, I am still curious as to where these optimisation 'tips' actually come into use? My CPU is idling around 20-50% during rendering, therefore I assume I am GPU bound for increasing performance. Note: I am looking into gDEBugger at the moment Cross posted at StackOverflow

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• Defragment / Performance Monitor without Task Scheduler

  - by mjaggard

  My organisation has a policy of disabling Task Scheduler on all servers and workstations (don't ask, I tried once to wrestle the pig). I need to collect performance stats using Data Collector Sets in Windows 7 or Windows 2008 but the Performance Monitor interface requires Task Scheduler to be running. Is this possible because I'm not trying to schedule anything (except the collection of WMI information every 15 seconds but I doubt it hands that task off to the task scheduler)? Is there any way to trick it into thinking Task Scheduler is running? If not, is there any way to temporarily override the group policy to allow Task Scheduler to run? I've found that most group policy can be overridden in this way by an Administrator by editing the registry. On exactly the same vein, I want to defragment a hard disk on one of my workstations, but I can't get it to start because of the dependancy on Task Scheduler - is it possible to overcome this?

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• Service and/or tool to monitor performance?

  - by chris

  I am seeing wildly different performance from a clients web site, and would like to set up some sort of monitoring. What I'm looking for is a service that will issue requests to a couple of URLs, and report on the time it took to process the page - TTFB and time to download the entire page - that means I need something that will process javascript & css. Are there services like this? I've seen a few that monitor uptime, but they don't seem to report on the overall page performance.

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• Ios Game with many animated Nodes,performance issues

  - by user31929

  I'm working in a large map upside-down game(not tiled map),the map i use is a city. I have to insert many node to create the "life of the city",something like people that cross the streets,cars,etc... Some of this characters are involved in physics and game logic but others are only graphic characters. For what i know the only way i can achive this result is to create each character node with or without physic body and animate each character with a texture atlas. In this way i think that i'll have many performance problems, (the characters will be something like 100/150) even if i'll apply all the performance tips that i know... My question is: with large numbers of characters there another programming pattern that i must follow ? What is the approch of game like simcity,simpsons tapped out for ios,etc... that have so many animation at the same time?

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• Buzzword for "performance-aware" software development

  - by errantlinguist

  There seems to be an overabundance of buzzwords for software development styles and methodologies: Agile development, extreme programming, test-driven development, etc... well, is there any sort of buzzword for "performance-aware" development? By "performance awareness", I don't necessarily mean low-latency or low-level programming, although the former would logically fall under the blanket term I'm looking for. I mean development in which resources are recognised to be finite and so there is a general emphasis on low computational complexity, good resource management, etc. If I was to be snarky, I would say "good programming", but that doesn't seem to get the message across so well...

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• Windows Server 2008 Core - performance

  - by Feryt

  Are there any performance advantages over classis windows server 2008 installation?

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• Support for 15,000 Partitions in SQL Server 2008 SP2 and SQL Server 2008 R2 SP1

  In SQL Server 2008 and SQL Server 2008 R2, the number of partitions on tables and indexes is limited to 1,000. This paper discusses how SQL Server 2008 SP2 and SQL Server 2008 R2 SP1 address this limitation by providing an option to increase the limit to 15,000 partitions. It describes how support for 15,000 partitions can be enabled and disabled on a database. It also talks about performance characteristics, certain limitations associated with this support, known issues, and their workarounds. This support is targeted to enterprise customers and ISVs with large-scale decision support or data warehouse requirements. The Future of SQL Server MonitoringMonitor wherever, whenever with Red Gate's SQL Monitor. See it live in action now.

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• SQL Server Query Notification with BizTalk Server 2009 WCF SQL Adapter

  SQL Server Query Notification with BizTalk Server 2009 WCF SQL Adapter

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• Database Maintenance Scripting Done Right

  - by KKline

  I first wrote about useful database maintenance scripts on my SQLBlog account way back in 2008. Hmmm - now that I think about it, I first wrote about my own useful database maintenance scripts in a journal called SQL Server Professional back in the mid-1990's on SQL Server v6.5 or some such. But I digress... Anyway, I pointed out a couple useful sites where you could get some good scripts that would take care of preventative maintenance on your SQL Server, such as index defragmentation, updating...(read more)

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• SQL reporting using SQL Server Business Intelligence Studio

  SQL reporting using SQL Server Business Intelligence Studio

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• SQL Server Subscriber Migration

  - by SuperCoolMoss

  We're currently have one way transaction replication from a SQL Server 2005 OLTP publisher/distrbituor to two subscribers (one SQL 2005 and the other SQL2008 R2). Replication security is via the SQL Agents' domain service account (the same account is used on all boxes). The SQL2008R2 subscriber is used for BI purposes and hosts a database that has a subset of the Production publisher database tables, with different security and indexes. We need to migrate this BI subscriber to a newer box with more performant hardware. The plan is as follows: Stop replicating to the BI box (continue replicating to the other subscriber). Backup all databases on the BI box (including system databases). Restore all databases (including master in single user mode) to the new BI box (this has SQL Server 2008R2 already installed). Take the old BI box off the network and shut it down. Rename and Re-IP the new BI box to be the same as the old box. Switch replication back on. Are there any flaws in this approach?

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• sys.dm_exec_query_stats interaction with recompilation

  - by Sam Saffron

  We use sys.dm_exec_query_stats to track down slow queries and queries that are IO offenders. This works great, we get a lot of very insightful stats. It is clear this is not as accurate as running a profiler trace, as you have no idea when SQL Server will decide to chuck out a an execution plan. We have quite a few queries where the wrong execution plan is cached. For example queries like the following: SELECT TOP 30 a.Id FROM Posts a JOIN Posts q ON q.Id = a.ParentId JOIN PostTags pt ON q.Id = pt.PostId WHERE a.PostTypeId = 2 AND a.DeletionDate IS NULL AND a.CommunityOwnedDate IS NULL AND a.CreationDate @date AND LEN(a.Body) 300 AND pt.Tag = @tag AND a.Score 0 ORDER BY a.Score DESC The problem is that the ideal plan really depends on the date selected (screenshot of ideal plan): However if the wrong plan is cached, it totally chokes when the date range is big: (notice the big fat lines) To overcome this we were recommended to use either OPTION (OPTIMIZE FOR UNKNOWN) or OPTION (RECOMPILE) OPTIMIZE FOR UNKNOWN results in a slightly better plan, which is far from optimal. Executions are tracked in sys.dm_exec_query_stats. RECOMPILE results in the best plan being chosen, however no execution counts and stats are tracked in sys.dm_exec_query_stats. Is there another DMV we could use to track stats on queries with OPTION (RECOMPILE)? Is this behavior by-design? Is there another way we can for recompilation while keeping stats tracked in sys.dm_exec_query_stats? Note: the framework will always execute parameterized queries using sp_executesql

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• SQL Server 2005 Service Pack 3 won’t install.

  - by AngryHacker

  I am trying to install SQL Server 2005 Service Pack 3 and it keeps failing. Comes back with the following: Microsoft SQL Server 2005 - Update 'Service Pack 3 for SQL Server Database Services 2005 ENU (KB955706)' could not be installed. Error code 1603. The detailed dump reveals the following: MSI (s) (90:C8) [13:50:17:776]: Note: 1: 1729 MSI (s) (90:C8) [13:50:17:776]: Transforming table Error. MSI (s) (90:C8) [13:50:17:776]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:807]: Transforming table Error. MSI (s) (90:C8) [13:50:17:807]: Transforming table Error. MSI (s) (90:C8) [13:50:17:807]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:807]: Transforming table Error. MSI (s) (90:C8) [13:50:17:807]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:807]: Transforming table Error. MSI (s) (90:C8) [13:50:17:807]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:807]: Product: Microsoft SQL Server 2005 -- Configuration failed. Does it mean anything to anybody? Btw, this Q originally came from SO (936895)

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• sql server 2005 instance unresponsive and all db's are 'in recovery'

  - by user44650

  we've got a sql server 2005 instance that one of our guys messed up, i believe they killed the sql server service and restarted the computer, and when it came back all of our databases are "in recovery" and it times out every time we try to connect to it. it's been 'in recovery'and unable to connect to 'msbd' (also in recovery) whenever we try to use SSMC, for the last 4 days now. i'm unsure how to use the DBCC CHECKDB command to check the db integrity. we have backups(which we can't recover from because it keeps timing out), and it's a testing server, so nothing in production is really lost. is there any way to get it out of recovery mode? we have another sqlserver instance running that's just fine, but this instance keeps timing out. the errors i keep seeing are database msdb is being recovered. wait until recovery is finished and an exception occurred while executing a transact-sql statement or batch Timeout expired. any thoughts? we don't really have a DBA here, or anyone with much sql experience.

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• ????????SQL Developer?Data Modeler?????????????

  - by Yusuke.Yamamoto

  ????? ??:2010/05/18 ??:?????? Oracle ?GUI?????????···??????????????????SQL Developer ? Data Modeler ???????GUI???????????????????????????SQL Developer ? Data Modeler ?????????????????? ????Oracle SQL Developer Data Modeler ??Oracle SQL Developer Data Modeler ????Oracle SQL Developer ???Oracle SQL Developer ???????? ????????? ????????????????? http://www.oracle.com/technology/global/jp/ondemand/otn-seminar/pdf/100518_sqldeveloper_evening.pdf

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