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  • How do I query the gvfs metadata for a specific attribute?

    - by Mathieu Comandon
    A nice feature in evince is that when you close the program and later reopen the same pdf, it automatically jumps to the page you were reading. The problem I have is that I often read ebooks on several computers and I have to find were I was on the last computer I was reading the pdf. I think syncing these bookmarks in UbuntuOne would be a killer feature for people like me who read pdfs on different computers. By investigating a bit, I found where evince was storing this data, it's in the gvfs metadata and it can be accessed for a particular document by typing gvfs-ls -a "metadata::evince::page" myEbook.pdf Rather that querying a particular file, I'd like to query the whole metadata file (located in ~/.local/share/gvfs-metadata/home for the home directory) for any file where this particular attribute is set to some value. The biggest issue is that gvfs metadata and stored in binary files and we all know it's not easy to get something out of a binary file. So, do you know any way to query the gvfs metadata for some attribute?

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  • Should I have link rel=next & prev on URLs which have query variables?

    - by user21100
    For example, I have link rel prev & next set up on these pages of products: site.com?page=2 site.com?page=3 (this is my preferred structure by the way and I'm trying to get all the ugly URLs which are littered with query variables deindexed as they are causing duplicate content). So the above URLs are fine but once a filter to narrow product results is selected, like "price", the URL shows like this: site.com?price[1000-1499]=on site.com?page=2&price[1000-1499]=on As of right now, I am having the link rel prev & next dynamically added to the header of these pages but since I am working on getting these query variable URLs pages deindexed, I am wondering if I should get rid of it on these pages? Any thoughts?

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  • How to show AdMob ads in real iPhone device?

    - by iPhoney
    I want to integrate AdMob ads in my iPhone app. I'm using IB way to add the view and follow AdMob's pdf guide: 1. Add AdMob group(AdMobView.h,AdMobDelegateProtocol.h,libAdMob.a) 2. Add required frameworks(AudioToolbox,MediaPlayer,MessageUI,QuartzCore) 3. Add TouchJSON group 4. Add IBSupport group(AdViewController.h,AdViewController.m) 5. Add a 320*48 UIView in IB, add NSObject and change its class to AdViewController, link AdViewController's view to the 320*48 UIView and link AdViewController's viewController to current view controller. Now the iPhone simulator can show ads from AdMob, but when I test it on real device, I get the error "AdMob: Did fail to receive ad". I've tried to add test device's UDID to testDevices array, but still get the same error. - (NSArray *)testDevices { return [NSArray arrayWithObjects: ADMOB_SIMULATOR_ID, DEVICE_UDID, nil]; } Is there any problem in the above steps? Does anybody know why can't I get the ads in real device? By the way, what should be changed to build for real for-sale app, not just for test?

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  • Strange Matlab error: "??? Subscript indices must either be real positive integers or logicals"

    - by Roee Adler
    I have a function func that returns a vector a. I usually plot a and then perform further analysis on it. I have a certain scenario when once I try to plot a, I get a "??? Subscript indices must either be real positive integers or logicals" error. Take a look at the following piece of code to see the vector's behavior: K>> a a = 5.7047 6.3529 6.4826 5.5750 4.1488 5.8343 5.3157 5.4454 K>> plot(a) ??? Subscript indices must either be real positive integers or logicals. K>> for i=1:length(a); b(i) = a(i); end; K>> b b = 5.7047 6.3529 6.4826 5.5750 4.1488 5.8343 5.3157 5.4454 K>> plot(b) ??? Subscript indices must either be real positive integers or logicals. The scenario where this happens is when I call function func from within another function (call it outer_func), and return the result directly as outer_func's result. When debugging inside outer_func, I can plot a properly, but outside the scope of outer_func, its result has the above behavior. What can cause this? Where do I start from?

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  • Real time location tracking - windows program or browser based?

    - by mawg
    I want to track a few hundred, maybe a few thousand people in real time. Let's say that the hardware aspects are sorted out and I can get the data into a database. Now, I want to get it out and show it, in real-time. Weeeell ... "real-enough" time. Let's say that I want to draw a floorplan of a building and plot everyone every 1 to 5 seconds. (I might want to show only certain "kinds" of people at the click of a button; I will need datamining, etc, but let's stick with the worse case scenario). I am comfortable enough with PHP, though not this sort of thing. I personally would be happier with a windows app coded in Delphi, but the trend seems to be to make everything browser based. So, the question, I guess is whether a browser can handle this and whether there are compelling arguments for a windows-based or browser-based solution. If browser-based can handle this (displaying a few thousand data-points a second), and there are no overwhelming arguments for windows then I guess I will go for browser-based and learn a few new tricks. The obvious advantage being that I could also re-use a large part of my code for (vehicle) tracking on Google maps.

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  • Why is my long polling code for a notification system not updating in real time? PHP MYSQL

    - by tjones
    I am making a notification system similar to the red notification on facebook. It should update the number of messages sent to a user in real time. When the message MYSQL table is updated, it should instantly notify the user, but it does not. There does not seem to be an error inserting into MYSQL because on page refresh the notifications update just fine. I am essentially using code from this video tutorial: http://www.screenr.com/SNH (which updates in realtime if a data.txt file is changed, but it is not written for MYSQL like I am trying to do) Is there something wrong with the below code: **Javascript** <script type="text/javascript"> $(document).ready(function(){ var timestamp = null; function waitForMsg(){ $.ajax({ type: "GET", url: "getData.php", data: "userid=" + userid, async: true, cache: false, success: function(data){ var json = eval('(' + data + ')'); if (json['msg'] != "") { $('.notification').fadeIn().html(json['msg']); } setTimeout('waitForMsg()',30000); }, error: function(XMLHttpRequest, textStatus, errorThrown){ setTimeout('waitForMsg()',30000); } }); } waitForMsg(); </script> <body> <div class="notification"></div> **PHP*** <?php if ($_SERVER['REQUEST_METHOD'] == 'GET' ) { $userid = $_GET['userid']; include("config.php"); $sql="SELECT MAX(time) FROM notification WHERE userid='$userid'"; $result = mysql_query($sql); $row = mysql_fetch_assoc($result); $currentmodif = $row['MAX(time)']; $s="SELECT MAX(lasttimeread) FROM notificationsRead WHERE submittedby='$userid'"; $r = mysql_query($s); $rows = mysql_fetch_assoc($r); $lasttimeread = $rows['MAX(lasttimeread)']; while ($currentmodif <= $lasttimeread) { usleep(10000); clearstatcache(); $currentmodif = $row['MAX(time)']; } $response = array(); $response['msg'] = You have new messages; echo json_encode($response); } ?>

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  • Tomcat, Hibernate and the java.io.EOFException

    - by Marco
    Hi, My Java application, which uses Hibernate and it's hosted by Tomcat 6.0, gets the following exception after a long time of inactivity when it tries to access the DB: com.mysql.jdbc.CommunicationsException: Communications link failure due to underlying exception: ** BEGIN NESTED EXCEPTION ** java.io.EOFException STACKTRACE: java.io.EOFException at com.mysql.jdbc.MysqlIO.readFully(MysqlIO.java:1963) at com.mysql.jdbc.MysqlIO.reuseAndReadPacket(MysqlIO.java:2375) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:2874) at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:1623) at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:1715) at com.mysql.jdbc.Connection.execSQL(Connection.java:3249) at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1268) at com.mysql.jdbc.PreparedStatement.executeQuery(PreparedStatement.java:1403) at org.hibernate.jdbc.AbstractBatcher.getResultSet(AbstractBatcher.java:208) at org.hibernate.loader.Loader.getResultSet(Loader.java:1812) at org.hibernate.loader.Loader.doQuery(Loader.java:697) at org.hibernate.loader.Loader.doQueryAndInitializeNonLazyCollections(Loader.java:259) at org.hibernate.loader.Loader.doList(Loader.java:2232) at org.hibernate.loader.Loader.listIgnoreQueryCache(Loader.java:2129) at org.hibernate.loader.Loader.list(Loader.java:2124) at org.hibernate.loader.hql.QueryLoader.list(QueryLoader.java:401) at org.hibernate.hql.ast.QueryTranslatorImpl.list(QueryTranslatorImpl.java:363) at org.hibernate.engine.query.HQLQueryPlan.performList(HQLQueryPlan.java:196) at org.hibernate.impl.SessionImpl.list(SessionImpl.java:1149) at org.hibernate.impl.QueryImpl.list(QueryImpl.java:102) Any tips? Thanks

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  • The SSIS tuning tip that everyone misses

    - by Rob Farley
    I know that everyone misses this, because I’m yet to find someone who doesn’t have a bit of an epiphany when I describe this. When tuning Data Flows in SQL Server Integration Services, people see the Data Flow as moving from the Source to the Destination, passing through a number of transformations. What people don’t consider is the Source, getting the data out of a database. Remember, the source of data for your Data Flow is not your Source Component. It’s wherever the data is, within your database, probably on a disk somewhere. You need to tune your query to optimise it for SSIS, and this is what most people fail to do. I’m not suggesting that people don’t tune their queries – there’s plenty of information out there about making sure that your queries run as fast as possible. But for SSIS, it’s not about how fast your query runs. Let me say that again, but in bolder text: The speed of an SSIS Source is not about how fast your query runs. If your query is used in a Source component for SSIS, the thing that matters is how fast it starts returning data. In particular, those first 10,000 rows to populate that first buffer, ready to pass down the rest of the transformations on its way to the Destination. Let’s look at a very simple query as an example, using the AdventureWorks database: We’re picking the different Weight values out of the Product table, and it’s doing this by scanning the table and doing a Sort. It’s a Distinct Sort, which means that the duplicates are discarded. It'll be no surprise to see that the data produced is sorted. Obvious, I know, but I'm making a comparison to what I'll do later. Before I explain the problem here, let me jump back into the SSIS world... If you’ve investigated how to tune an SSIS flow, then you’ll know that some SSIS Data Flow Transformations are known to be Blocking, some are Partially Blocking, and some are simply Row transformations. Take the SSIS Sort transformation, for example. I’m using a larger data set for this, because my small list of Weights won’t demonstrate it well enough. Seven buffers of data came out of the source, but none of them could be pushed past the Sort operator, just in case the last buffer contained the data that would be sorted into the first buffer. This is a blocking operation. Back in the land of T-SQL, we consider our Distinct Sort operator. It’s also blocking. It won’t let data through until it’s seen all of it. If you weren’t okay with blocking operations in SSIS, why would you be happy with them in an execution plan? The source of your data is not your OLE DB Source. Remember this. The source of your data is the NCIX/CIX/Heap from which it’s being pulled. Picture it like this... the data flowing from the Clustered Index, through the Distinct Sort operator, into the SELECT operator, where a series of SSIS Buffers are populated, flowing (as they get full) down through the SSIS transformations. Alright, I know that I’m taking some liberties here, because the two queries aren’t the same, but consider the visual. The data is flowing from your disk and through your execution plan before it reaches SSIS, so you could easily find that a blocking operation in your plan is just as painful as a blocking operation in your SSIS Data Flow. Luckily, T-SQL gives us a brilliant query hint to help avoid this. OPTION (FAST 10000) This hint means that it will choose a query which will optimise for the first 10,000 rows – the default SSIS buffer size. And the effect can be quite significant. First let’s consider a simple example, then we’ll look at a larger one. Consider our weights. We don’t have 10,000, so I’m going to use OPTION (FAST 1) instead. You’ll notice that the query is more expensive, using a Flow Distinct operator instead of the Distinct Sort. This operator is consuming 84% of the query, instead of the 59% we saw from the Distinct Sort. But the first row could be returned quicker – a Flow Distinct operator is non-blocking. The data here isn’t sorted, of course. It’s in the same order that it came out of the index, just with duplicates removed. As soon as a Flow Distinct sees a value that it hasn’t come across before, it pushes it out to the operator on its left. It still has to maintain the list of what it’s seen so far, but by handling it one row at a time, it can push rows through quicker. Overall, it’s a lot more work than the Distinct Sort, but if the priority is the first few rows, then perhaps that’s exactly what we want. The Query Optimizer seems to do this by optimising the query as if there were only one row coming through: This 1 row estimation is caused by the Query Optimizer imagining the SELECT operation saying “Give me one row” first, and this message being passed all the way along. The request might not make it all the way back to the source, but in my simple example, it does. I hope this simple example has helped you understand the significance of the blocking operator. Now I’m going to show you an example on a much larger data set. This data was fetching about 780,000 rows, and these are the Estimated Plans. The data needed to be Sorted, to support further SSIS operations that needed that. First, without the hint. ...and now with OPTION (FAST 10000): A very different plan, I’m sure you’ll agree. In case you’re curious, those arrows in the top one are 780,000 rows in size. In the second, they’re estimated to be 10,000, although the Actual figures end up being 780,000. The top one definitely runs faster. It finished several times faster than the second one. With the amount of data being considered, these numbers were in minutes. Look at the second one – it’s doing Nested Loops, across 780,000 rows! That’s not generally recommended at all. That’s “Go and make yourself a coffee” time. In this case, it was about six or seven minutes. The faster one finished in about a minute. But in SSIS-land, things are different. The particular data flow that was consuming this data was significant. It was being pumped into a Script Component to process each row based on previous rows, creating about a dozen different flows. The data flow would take roughly ten minutes to run – ten minutes from when the data first appeared. The query that completes faster – chosen by the Query Optimizer with no hints, based on accurate statistics (rather than pretending the numbers are smaller) – would take a minute to start getting the data into SSIS, at which point the ten-minute flow would start, taking eleven minutes to complete. The query that took longer – chosen by the Query Optimizer pretending it only wanted the first 10,000 rows – would take only ten seconds to fill the first buffer. Despite the fact that it might have taken the database another six or seven minutes to get the data out, SSIS didn’t care. Every time it wanted the next buffer of data, it was already available, and the whole process finished in about ten minutes and ten seconds. When debugging SSIS, you run the package, and sit there waiting to see the Debug information start appearing. You look for the numbers on the data flow, and seeing operators going Yellow and Green. Without the hint, I’d sit there for a minute. With the hint, just ten seconds. You can imagine which one I preferred. By adding this hint, it felt like a magic wand had been waved across the query, to make it run several times faster. It wasn’t the case at all – but it felt like it to SSIS.

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  • Either, nginx+php-fpm bad config or nginx+php-fpm cannot handle high query?

    - by The Wolf
    I have wordpress installed in my server configured(hopefully with nginx+php-fpm+mariaDB). I am trying to import using wordpress importer a 1.5MB xml file. Everytime I try to upload it using the importer, it got cut of... meaning just blank screen result.. Here is my error log: actually I just posted 2 of the errors [error] 858#0: *1 connect() failed (111: Connection refused) while connecting to upstream, client: xx.xxx.xx.xx, server: xxx.com, request: "GET xxxx.html HTTP/1.1", upstream: "fastcgi://127.0.0.1:9000", host: "xxx.com" [error] 858#0: *13 connect() failed (111: Connection refused) while connecting to upstream, client: xxx.x.xx.xx, server: xxx.com, request: "GET xxxx.php HTTP/1.1", upstream: "fastcgi://127.0.0.1:9000", host: "xxx.com" I don't know what is the reason why it can't process the wordpress export .xml. I already increased max_file_upload & etc., but nothing happens. Hope somebody can help me. Here are my conf: nginx.conf user nginx; worker_processes 8; error_log /var/log/nginx/error.log warn; pid /var/run/nginx.pid; events { worker_connections 1024; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; access_log /var/log/nginx/access.log main; sendfile on; #tcp_nopush on; server_tokens off; keepalive_timeout 65; fastcgi_read_timeout 500; #gzip on; client_max_body_size 2M; php-fpm.conf ;;;;;;;;;;;;;;;;;;;;; ; FPM Configuration ; ;;;;;;;;;;;;;;;;;;;;; ; All relative paths in this configuration file are relative to PHP's install ; prefix. ; Include one or more files. If glob(3) exists, it is used to include a bunch of ; files from a glob(3) pattern. This directive can be used everywhere in the ; file. include=/etc/php-fpm.d/*.conf ;;;;;;;;;;;;;;;;;; ; Global Options ; ;;;;;;;;;;;;;;;;;; [global] ; Pid file ; Default Value: none pid = /var/run/php-fpm/php-fpm.pid ; Error log file ; Default Value: /var/log/php-fpm.log error_log = /var/log/php-fpm/error.log ; Log level ; Possible Values: alert, error, warning, notice, debug ; Default Value: notice ;log_level = notice ; If this number of child processes exit with SIGSEGV or SIGBUS within the time ; interval set by emergency_restart_interval then FPM will restart. A value ; of '0' means 'Off'. ; Default Value: 0 ;emergency_restart_threshold = 0 ; Interval of time used by emergency_restart_interval to determine when ; a graceful restart will be initiated. This can be useful to work around ; accidental corruptions in an accelerator's shared memory. ; Available Units: s(econds), m(inutes), h(ours), or d(ays) ; Default Unit: seconds ; Default Value: 0 ;emergency_restart_interval = 0 ; Time limit for child processes to wait for a reaction on signals from master. ; Available units: s(econds), m(inutes), h(ours), or d(ays) ; Default Unit: seconds ; Default Value: 0 ;process_control_timeout = 0 ; Send FPM to background. Set to 'no' to keep FPM in foreground for debugging. ; Default Value: yes daemonize = no ;;;;;;;;;;;;;;;;;;;; ; Pool Definitions ; ;;;;;;;;;;;;;;;;;;;; ; See /etc/php-fpm.d/*.conf [root@host etc]# vim php-fpm.conf [root@host etc]# vim php-fpm.conf ; Default Value: notice ;log_level = notice ; If this number of child processes exit with SIGSEGV or SIGBUS within the time ; interval set by emergency_restart_interval then FPM will restart. A value ; of '0' means 'Off'. ; Default Value: 0 ;emergency_restart_threshold = 0 ; Interval of time used by emergency_restart_interval to determine when ; a graceful restart will be initiated. This can be useful to work around ; accidental corruptions in an accelerator's shared memory. ; Available Units: s(econds), m(inutes), h(ours), or d(ays) ; Default Unit: seconds ; Default Value: 0 ;emergency_restart_interval = 0 ; Time limit for child processes to wait for a reaction on signals from master. ; Available units: s(econds), m(inutes), h(ours), or d(ays) ; Default Unit: seconds ; Default Value: 0 ;process_control_timeout = 0 ; Send FPM to background. Set to 'no' to keep FPM in foreground for debugging. ; Default Value: yes daemonize = no ;;;;;;;;;;;;;;;;;;;; ; Pool Definitions ; ;;;;;;;;;;;;;;;;;;;; ; See /etc/php-fpm.d/*.conf ps aux [root@host etc]# ps aux USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.0 0.1 2900 1380 ? Ss Jun02 0:00 init root 2 0.0 0.0 0 0 ? S Jun02 0:00 [kthreadd/9308] root 3 0.0 0.0 0 0 ? S Jun02 0:00 [khelper/9308] root 124 0.0 0.0 2464 576 ? S<s Jun02 0:00 /sbin/udevd -d root 460 0.0 0.1 35976 1308 ? Sl Jun02 0:00 /sbin/rsyslogd -i /var/run/syslogd.pid -c 5 root 474 0.0 0.0 8940 1028 ? Ss Jun02 0:00 /usr/sbin/sshd root 481 0.0 0.0 3264 876 ? Ss Jun02 0:00 xinetd -stayalive -pidfile /var/run/xinetd.pid root 491 0.0 0.1 6268 1432 ? S Jun02 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/host.busilak.com. mysql 584 0.1 6.8 679072 71456 ? Sl Jun02 0:04 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib/mysql/plugin --use root 586 0.0 0.3 12008 3820 ? Ss Jun02 0:01 sshd: root@pts/0 root 629 0.0 0.0 9140 756 ? Ss Jun02 0:00 /usr/sbin/saslauthd -m /var/run/saslauthd -a pam -n 2 root 630 0.0 0.0 9140 520 ? S Jun02 0:00 /usr/sbin/saslauthd -m /var/run/saslauthd -a pam -n 2 root 645 0.0 0.1 12788 1928 ? Ss Jun02 0:01 sendmail: accepting connections smmsp 653 0.0 0.1 12576 1728 ? Ss Jun02 0:00 sendmail: Queue runner@01:00:00 for /var/spool/clientmqueue root 691 0.0 0.1 7148 1184 ? Ss Jun02 0:00 crond root 698 0.0 0.1 6272 1688 pts/0 Ss Jun02 0:00 -bash root 1006 0.0 0.0 7828 924 ? Ss 00:30 0:00 nginx: master process /usr/sbin/nginx -c /etc/nginx/nginx.conf nginx 1007 0.0 0.1 8156 1724 ? S 00:30 0:00 nginx: worker process nginx 1008 0.0 0.1 8024 1360 ? S 00:30 0:00 nginx: worker process nginx 1009 0.0 0.1 8020 1356 ? S 00:30 0:00 nginx: worker process nginx 1011 0.0 0.1 8024 1360 ? S 00:30 0:00 nginx: worker process nginx 1012 0.0 0.1 8024 1360 ? S 00:30 0:00 nginx: worker process nginx 1013 0.0 0.1 8024 1360 ? S 00:30 0:00 nginx: worker process nginx 1014 0.0 0.1 8024 1360 ? S 00:30 0:00 nginx: worker process nginx 1015 0.0 0.1 8024 1344 ? S 00:30 0:00 nginx: worker process root 1030 0.0 0.2 25396 2904 ? Ss 00:30 0:00 php-fpm: master process (/etc/php-fpm.conf) apache 1031 0.0 1.9 40700 20624 ? S 00:30 0:00 php-fpm: pool www apache 1032 0.0 2.0 41924 21888 ? S 00:30 0:01 php-fpm: pool www apache 1033 0.0 1.9 41212 20848 ? S 00:30 0:01 php-fpm: pool www apache 1034 0.0 1.9 40956 20792 ? S 00:30 0:01 php-fpm: pool www apache 1035 0.0 2.0 41560 21556 ? S 00:30 0:02 php-fpm: pool www apache 1040 0.0 1.8 39292 19120 ? S 00:30 0:00 php-fpm: pool www root 1125 0.0 0.0 6080 1040 pts/0 R+ 01:04 0:00 ps aux netstat -l [root@host etc]# netstat -l Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State tcp 0 0 *:ssh *:* LISTEN tcp 0 0 localhost.localdomain:smtp *:* LISTEN tcp 0 0 localhost.locald:cslistener *:* LISTEN tcp 0 0 *:mysql *:* LISTEN tcp 0 0 *:http *:* LISTEN tcp 0 0 *:ssh *:* LISTEN Active UNIX domain sockets (only servers) Proto RefCnt Flags Type State I-Node Path unix 2 [ ACC ] STREAM LISTENING 60575947 /var/run/saslauthd/mux unix 2 [ ACC ] STREAM LISTENING 60574168 @/com/ubuntu/upstart unix 2 [ ACC ] STREAM LISTENING 60575873 /var/lib/mysql/mysql.sock Hope somebody can help me to figure out what is the problem.

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  • ArchBeat Link-o-Rama Top 10 for August 2012

    - by Bob Rhubart
    The Top 10 most popular items shared via the OTN ArchBeat Facebook page for the month of August 2012. Now Available: Oracle SQL Developer 3.2 (3.2.09.23) New features include APEX listener, UI enhancements, and 12c database support. The Role of Oracle VM Server for SPARC in a Virtualization Strategy In this article, Matthias Pfutzner discusses hardware, desktop, and operating system virtualization, along with various Oracle virtualization technologies, including Oracle VM Server for SPARC. How to Manually Install Flash Player Plugin to see the Oracle Enterprise Manager Performance Page | Kai Yu So, you're a DBA and you want to check the Performance page in Oracle Enterprise Manager (11g or 12c). So you click the Performance tab and… nothing. Zip. Nada. The Flash plugin is a no-show. Relax! Oracle ACE Director Kai Yu shows you what you need to do to see all the pretty colors instead of that dull grey screen. Relationally Challenged (CX - CRM - EQ/RQ/CRQ) | Chris Warticki Self-proclaimed Oracle Support "spokesmodel" Chris Chris Warticki has some advice for those interested in Customer Relationship Management: "How about we just dumb it down, strip it to the core, keep it simple and LISTEN?! No more focus groups, no more surveys, and no need to gather more data. We have plenty of that. Why not just provide the customer what they are asking for?" Free WebLogic Server Course | Middleware Magic So you want to sharpen your Oracle WebLogic Server skills, but you prefer to skip the whole classroom bit and don't want to be bothered with dealing with an instructor? No problem! Oracle ACE Rene van Wijk, a prolific Middleware Magic blogger, has information on an Oracle WebLogic course you can take on your own time, at your own pace. Oracle VM VirtualBox 4.1.20 released Oracle VM VirtualBox 4.1.20 was just released at the community and Oracle download sites, reports the Fat Bloke. This is a maintenance release containing bug fixes and stability improvements. Optimizing OLTP Oracle Database Performance using Dell Express Flash PCIe SSDs | Kai Yu Oracle ACE Director Kai Yu shares resources based on "several extensive performance studies on a single node Oracle 11g R2 database as well as a two node 11gR2 Oracle Real Application clusters (RAC) database running on Dell PowerEdge R720 servers with Dell Express Flash PCIe SSDs on Oracle Enterprise Linux 6.2 platform." Oracle ACE sessions at Oracle OpenWorld With so many great sessions at this year's event, building your Oracle OpenWorld schedule can involve making a lot of tough choices. But you'll find that the sessions led by Oracle ACEs just might be the icing on the cake for your OpenWorld experience. MySQL Update: The Cleveland MySQL Meetup (Independence, OH) Oracle MySQL team member Benjamin Wood, a MySQL engineer and five year veteran of the MySQL organization, will speak at the Cleveland MySQL Meetup event on September 12. The presentation will include a MySQL 5.5 Overview, Oracle's Roadmap for MySQL, including specifics on MySQL 5.6, best practices and how to overcome development and operational MySQL challenges, and the new MySQL commercial extensions. Click the link for time and location information. Parsing XML in Oracle Database | Martijn van der Kamp Martijn van der Kamp's post deals with processing XML in PL/SQL code and processing the data into the database. Thought for the Day "Walking on water and developing software from a specification are easy if both are frozen." — Edward V. Berard Source: SoftwareQuotes.com

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  • I need help with a timer for a text based game, i need to include a mysql query to it, but not sure how.

    - by Hijumper
    i would like to add a mysql query somewhere in my timer code so that everytime it restarts then 1 item would be added to the database, i can get it to show how many items you have gotten since the timer has been running, but im not quite sure how to add it into a mysql database, any help would be appreciated :D heres my timer code thus far: <head> <script type="text/javascript"> var c=10; var mineCount = 0; var t; var timer_is_on=0; function timedCount() { document.getElementById('txt').value = c; c = c - 1; if (c <= -1) { mineCount++; var _message = "You have mined " + mineCount + " iron ore" + (((mineCount > 1) ? "s" : "") + "!"); document.getElementById('message').innerHTML = _message; startover(); } } function startover() { c = 10; clearTimeout(t); timer_is_on=0; doMining(); } function doMining() { if (!timer_is_on) { timer_is_on = true; t = setInterval(function () { timedCount(); }, 1000); } } </script> <SPAN STYLE="float:left"> <form> <input type="button" value="Mining" onClick="doMining()"> <input type="text" id="txt"> </form> </SPAN> <html> <center> <div id='message'></div>

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  • Chaining IQueryables together

    - by Matt Greer
    I have a RIA Services based app that is using Entity Framework on the server side (possibly not relevant). In my real app, I can do something like this. EntityQuery<Status> query = statusContext.GetStatusesQuery().Where(s => s.Description.Contains("Foo")); Where statusContext is the client side subclass of DomainContext that RIA Services was kind enough to generate for me. The end result is an EntityQuery<Status> object who's Query property is an object that implements IQueryable and represents my where clause. The WebDomainClient is able to take this EntityQuery and not just give me back all of my Statuses but also filtered with my where clause. I am trying to implement this in a mock DomainClient. This MockDomainClient accepts an IQueryably<Entity> which it returns when asked for. But what if the user makes the query and includes the ad hoc additional query? How can I merge the two together? My MockDomainClient is (this is modeled after this blog post) ... public class MockDomainClient : LocalDomainClient { private IQueryable<Entity> _entities; public MockDomainClient(IQueryable<Entity> entities) { _entities = entities; } public override IQueryable<Entity> DoQuery(EntityQuery query) { if (query.Query == null) { return _entities; } // otherwise want the union of _entities and query.Query, query.Query is IQueryable // the below does not work and was a total shot in the dark: //return _entities.Union(query.Query.Cast<Entity>()); } } public abstract class LocalDomainClient : System.ServiceModel.DomainServices.Client.DomainClient { private SynchronizationContext _syncContext; protected LocalDomainClient() { _syncContext = SynchronizationContext.Current; } ... public abstract IQueryable<Entity> DoQuery(EntityQuery query); protected override IAsyncResult BeginQueryCore(EntityQuery query, AsyncCallback callback, object userState) { IQueryable<Entity> localQuery = DoQuery(query); LocalAsyncResult asyncResult = new LocalAsyncResult(callback, userState, localQuery); _syncContext.Post(o => (o as LocalAsyncResult).Complete(), asyncResult); return asyncResult; } ... }

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  • JPA Entity Manager resource handling

    - by chiragshahkapadia
    Every time I call JPA method its creating entity and binding query. My persistence properties are: <property name="hibernate.dialect" value="org.hibernate.dialect.Oracle10gDialect"/> <property name="hibernate.cache.provider_class" value="net.sf.ehcache.hibernate.SingletonEhCacheProvider"/> <property name="hibernate.cache.use_second_level_cache" value="true"/> <property name="hibernate.cache.use_query_cache" value="true"/> And I am creating entity manager the way shown below: emf = Persistence.createEntityManagerFactory("pu"); em = emf.createEntityManager(); em = Persistence.createEntityManagerFactory("pu").createEntityManager(); Is there any nice way to manage entity manager resource instead create new every time or any property can set in persistence. Remember it's JPA. See below binding log every time : 15:35:15,527 INFO [AnnotationBinder] Binding entity from annotated class: * 15:35:15,527 INFO [QueryBinder] Binding Named query: * = * 15:35:15,527 INFO [QueryBinder] Binding Named query: * = * 15:35:15,527 INFO [QueryBinder] Binding Named query: 15:35:15,527 INFO [QueryBinder] Binding Named query: 15:35:15,527 INFO [QueryBinder] Binding Named query: 15:35:15,527 INFO [QueryBinder] Binding Named query: 15:35:15,527 INFO [QueryBinder] Binding Named query: 15:35:15,527 INFO [QueryBinder] Binding Named query: 15:35:15,527 INFO [QueryBinder] Binding Named query: 15:35:15,527 INFO [EntityBinder] Bind entity com.* on table * 15:35:15,542 INFO [HibernateSearchEventListenerRegister] Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. 15:35:15,542 INFO [NamingHelper] JNDI InitialContext properties:{} 15:35:15,542 INFO [DatasourceConnectionProvider] Using datasource: 15:35:15,542 INFO [SettingsFactory] RDBMS: and Real Application Testing options 15:35:15,542 INFO [SettingsFactory] JDBC driver: Oracle JDBC driver, version: 9.2.0.1.0 15:35:15,542 INFO [Dialect] Using dialect: org.hibernate.dialect.Oracle10gDialect 15:35:15,542 INFO [TransactionFactoryFactory] Transaction strategy: org.hibernate.transaction.JDBCTransactionFactory 15:35:15,542 INFO [TransactionManagerLookupFactory] No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recomm ended) 15:35:15,542 INFO [SettingsFactory] Automatic flush during beforeCompletion(): disabled 15:35:15,542 INFO [SettingsFactory] Automatic session close at end of transaction: disabled 15:35:15,542 INFO [SettingsFactory] JDBC batch size: 15 15:35:15,542 INFO [SettingsFactory] JDBC batch updates for versioned data: disabled 15:35:15,542 INFO [SettingsFactory] Scrollable result sets: enabled 15:35:15,542 INFO [SettingsFactory] JDBC3 getGeneratedKeys(): disabled 15:35:15,542 INFO [SettingsFactory] Connection release mode: auto 15:35:15,542 INFO [SettingsFactory] Default batch fetch size: 1 15:35:15,542 INFO [SettingsFactory] Generate SQL with comments: disabled 15:35:15,542 INFO [SettingsFactory] Order SQL updates by primary key: disabled 15:35:15,542 INFO [SettingsFactory] Order SQL inserts for batching: disabled 15:35:15,542 INFO [SettingsFactory] Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory 15:35:15,542 INFO [ASTQueryTranslatorFactory] Using ASTQueryTranslatorFactory 15:35:15,542 INFO [SettingsFactory] Query language substitutions: {} 15:35:15,542 INFO [SettingsFactory] JPA-QL strict compliance: enabled 15:35:15,542 INFO [SettingsFactory] Second-level cache: enabled 15:35:15,542 INFO [SettingsFactory] Query cache: enabled 15:35:15,542 INFO [SettingsFactory] Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge 15:35:15,542 INFO [RegionFactoryCacheProviderBridge] Cache provider: net.sf.ehcache.hibernate.SingletonEhCacheProvider 15:35:15,542 INFO [SettingsFactory] Optimize cache for minimal puts: disabled 15:35:15,542 INFO [SettingsFactory] Structured second-level cache entries: disabled 15:35:15,542 INFO [SettingsFactory] Query cache factory: org.hibernate.cache.StandardQueryCacheFactory 15:35:15,542 INFO [SettingsFactory] Statistics: disabled 15:35:15,542 INFO [SettingsFactory] Deleted entity synthetic identifier rollback: disabled 15:35:15,542 INFO [SettingsFactory] Default entity-mode: pojo 15:35:15,542 INFO [SettingsFactory] Named query checking : enabled 15:35:15,542 INFO [SessionFactoryImpl] building session factory 15:35:15,542 INFO [SessionFactoryObjectFactory] Not binding factory to JNDI, no JNDI name configured 15:35:15,542 INFO [UpdateTimestampsCache] starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache 15:35:15,542 INFO [StandardQueryCache] starting query cache at region: org.hibernate.cache.StandardQueryCache

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  • How to do a timestamp comparison with JPA query?

    - by Robert
    We need to make sure only results within the last 30 days are returned for a JPQL query. An example follows: Date now = new Date(); Timestamp thirtyDaysAgo = new Timestamp(now.getTime() - 86400000*30); Query query = em.createQuery( "SELECT msg FROM Message msg "+ "WHERE msg.targetTime < CURRENT_TIMESTAMP AND msg.targetTime > {ts, '"+thirtyDaysAgo+"'}"); List result = query.getResultList(); Here is the error we receive: <openjpa-1.2.3-SNAPSHOT-r422266:907835 nonfatal user error org.apache.openjpa.persistence.ArgumentException: An error occurred while parsing the query filter 'SELECT msg FROM BroadcastMessage msg WHERE msg.targetTime < CURRENT_TIMESTAMP AND msg.targetTime {ts, '2010-04-18 04:15:37.827'}'. Error message: org.apache.openjpa.kernel.jpql.TokenMgrError: Lexical error at line 1, column 217. Encountered: "{" (123), after : "" Help!

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  • Using normalize-string XPath function from SQL XML query ?

    - by Ross Watson
    Hi, is it possible to run an SQL query, with an XPath "where" clause, and to trim trailing spaces before the comparison ? I have an SQL XML column, in which I have XML nodes with attributes which contain trailing spaces. I would like to find a given record, which has a specified attribute value - without the trailing spaces. When I try, I get... "There is no function '{http://www.w3.org/2004/07/xpath-functions}:normalize-space()'" I have tried the following (query 1 works, query 2 doesn't). This is on SQL 2005. declare @test table (data xml) insert into @test values ('<thing xmlns="http://my.org.uk/Things" x="hello " />') -- query 1 ;with xmlnamespaces ('http://my.org.uk/Things' as ns0) select * from @test where data.exist('ns0:thing[@x="hello "]') != 0 -- query 2 ;with xmlnamespaces ('http://my.org.uk/Things' as ns0) select * from @test where data.exist('ns0:thing[normalize-space(@x)="hello "]') != 0 Thanks for any help, Ross

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  • Is it Possible to Query Multiple Databases with WCF Data Services?

    - by Mas
    I have data being inserted into multiple databases with the same schema. The multiple databases exist for performance reasons. I need to create a WCF service that a client can use to query the databases. However from the client's point of view, there is only 1 database. By this I mean when a client performs a query, it should query all databases and return the combined results. I also need to provide the flexibility for the client to define its own queries. Therefore I am looking into WCF Data Services, which provides the very nice functionality for client specified queries. So far, it seems that a DataService can only make a query to a single database. I found no override that would allow me to dispatch queries to multiple databases. Does anyone know if it is possible for a WCF Data Service to query against multiple databases with the same schema?

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  • How do I get a linq to sql group by query into the asp.net mvc view?

    - by Brad Wetli
    Sorry for the newbie question, but I have the following query that groups parking spaces by their garage, but I can't figure out how to iterate the data in the view. I guess I should strongly type the view but am a newbie and having lots of problems figuring this out. Any help would be appreciated. Public Function FindAllSpaces() Implements ISpaceRepository.FindAllSpaces Dim query = _ From s In db.spaces _ Order By s.name Ascending _ Group By s.garageid Into spaces = Group _ Order By garageid Ascending Return query End Function The controller is taking the query object as is and putting it into the viewdata.model and as stated the view is not currently strongly typed as I haven't been able to figure out how to do this. I have run the query successfully in linqpad.

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  • SQL Server Query Slow from PHP, but FAST from SQL Mgt Studio - WHY???

    - by Ray
    I have a fast running query (sub 1 sec) when I execute the query in SQL Server Mgt Studio, but when I run the exact same query in PHP (on the same db instace) using FreeTDS v8, mssql_query(), it takes much longer (70+ seconds). The tables I'm hitting have an index on a date field that I'm using in the Where clause. Could it be that PHP's mssql functions aren't utilizing the index? I have also tried putting the query inside a stored procedure, then executing the SP from PHP - the same results in time difference occurs. I have also tried adding a WITH ( INDEX( .. ) ) clause on the table where that has the date index, but no luck either. Here's the query: SELECT 1 History, h.CUSTNMBR CustNmbr, CONVERT(VARCHAR(10), h.ORDRDATE, 120 ) OrdDate, h.SOPNUMBE OrdNmbr, h.SUBTOTAL OrdTotal, h.CSTPONBR PONmbr, h.SHIPMTHD Shipper, h.VOIDSTTS VoidStatus, h.BACHNUMB BatchNmbr, h.MODIFDT ModifDt FROM SOP30200 h WITH (INDEX (AK2SOP30200)) WHERE h.SOPTYPE = 2 AND h.DOCDATE >= DATEADD(dd, -61, GETDATE()) AND h.VOIDSTTS = 0 AND h.MODIFDT = CONVERT(VARCHAR(10), DATEADD(dd, -1*@daysAgo, GETDATE()) , 120 ) ;

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  • How do I query through a many-to-many relationship using NHibernate Criteria and Lambda Extensions?

    - by Brian Kendig
    In my database I have a Person table and an Event table (parties, meetings, &c.). This many-to-many relationship is represented through an Invitation table. Each Person can have many Invitations. Each Event can also have many Invitations. If I want a list of Events to which a Person is invited, I can use this HQL query: IQuery query = Session.CreateQuery("SELECT i.Event from Invitation i where i.Person = :p"); query.SetParameter("p", person); return query.List<Person>(); How would I write this query with NHibernate criteria and Lambda Extensions?

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  • rails 3, active record: any way to tell how many unique values match a "x LIKE ?" query

    - by jpwynn
    I have a query to find all the phone numbers that match a partial expression such as "ends with 234" @matchingphones = Calls.find :all, :conditions => [ "(thephonenumber LIKE ?)", "%234"] The same phone number might be in the database several times, and so might be returned multiple times by this query if it matches. What I need is to know is UNIQUE phone numbers the query returns. For example if the database contains 000-111-1234 * 000-111-3333 000-111-2234 * 000-111-1234 * 000-111-4444 the existing query will return the 3 records marked with * (eg returns one phone number -1234 twice since it's in the database twice) what I need is a query that returns just once instance of each match, in this case 000-111-1234 * 000-111-2234 *

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  • Plan Caching and Query Memory Part II (Hash Match) – When not to use stored procedure - Most common performance mistake SQL Server developers make.

    - by sqlworkshops
    SQL Server estimates Memory requirement at compile time, when stored procedure or other plan caching mechanisms like sp_executesql or prepared statement are used, the memory requirement is estimated based on first set of execution parameters. This is a common reason for spill over tempdb and hence poor performance. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union. This article covers Hash Match operations with examples. It is recommended to read Plan Caching and Query Memory Part I before this article which covers an introduction and Query memory for Sort. In most cases it is cheaper to pay for the compilation cost of dynamic queries than huge cost for spill over tempdb, unless memory requirement for a query does not change significantly based on predicates.   This article covers underestimation / overestimation of memory for Hash Match operation. Plan Caching and Query Memory Part I covers underestimation / overestimation for Sort. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   To read additional articles I wrote click here.   The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script. Most of these concepts are also covered in our webcasts: www.sqlworkshops.com/webcasts  Let’s create a Customer’s State table that has 99% of customers in NY and the rest 1% in WA.Customers table used in Part I of this article is also used here.To observe Hash Warning, enable 'Hash Warning' in SQL Profiler under Events 'Errors and Warnings'. --Example provided by www.sqlworkshops.com drop table CustomersState go create table CustomersState (CustomerID int primary key, Address char(200), State char(2)) go insert into CustomersState (CustomerID, Address) select CustomerID, 'Address' from Customers update CustomersState set State = 'NY' where CustomerID % 100 != 1 update CustomersState set State = 'WA' where CustomerID % 100 = 1 go update statistics CustomersState with fullscan go   Let’s create a stored procedure that joins customers with CustomersState table with a predicate on State. --Example provided by www.sqlworkshops.com create proc CustomersByState @State char(2) as begin declare @CustomerID int select @CustomerID = e.CustomerID from Customers e inner join CustomersState es on (e.CustomerID = es.CustomerID) where es.State = @State option (maxdop 1) end go  Let’s execute the stored procedure first with parameter value ‘WA’ – which will select 1% of data. set statistics time on go --Example provided by www.sqlworkshops.com exec CustomersByState 'WA' goThe stored procedure took 294 ms to complete.  The stored procedure was granted 6704 KB based on 8000 rows being estimated.  The estimated number of rows, 8000 is similar to actual number of rows 8000 and hence the memory estimation should be ok.  There was no Hash Warning in SQL Profiler. To observe Hash Warning, enable 'Hash Warning' in SQL Profiler under Events 'Errors and Warnings'.   Now let’s execute the stored procedure with parameter value ‘NY’ – which will select 99% of data. -Example provided by www.sqlworkshops.com exec CustomersByState 'NY' go  The stored procedure took 2922 ms to complete.   The stored procedure was granted 6704 KB based on 8000 rows being estimated.    The estimated number of rows, 8000 is way different from the actual number of rows 792000 because the estimation is based on the first set of parameter value supplied to the stored procedure which is ‘WA’ in our case. This underestimation will lead to spill over tempdb, resulting in poor performance.   There was Hash Warning (Recursion) in SQL Profiler. To observe Hash Warning, enable 'Hash Warning' in SQL Profiler under Events 'Errors and Warnings'.   Let’s recompile the stored procedure and then let’s first execute the stored procedure with parameter value ‘NY’.  In a production instance it is not advisable to use sp_recompile instead one should use DBCC FREEPROCCACHE (plan_handle). This is due to locking issues involved with sp_recompile, refer to our webcasts, www.sqlworkshops.com/webcasts for further details.   exec sp_recompile CustomersByState go --Example provided by www.sqlworkshops.com exec CustomersByState 'NY' go  Now the stored procedure took only 1046 ms instead of 2922 ms.   The stored procedure was granted 146752 KB of memory. The estimated number of rows, 792000 is similar to actual number of rows of 792000. Better performance of this stored procedure execution is due to better estimation of memory and avoiding spill over tempdb.   There was no Hash Warning in SQL Profiler.   Now let’s execute the stored procedure with parameter value ‘WA’. --Example provided by www.sqlworkshops.com exec CustomersByState 'WA' go  The stored procedure took 351 ms to complete, higher than the previous execution time of 294 ms.    This stored procedure was granted more memory (146752 KB) than necessary (6704 KB) based on parameter value ‘NY’ for estimation (792000 rows) instead of parameter value ‘WA’ for estimation (8000 rows). This is because the estimation is based on the first set of parameter value supplied to the stored procedure which is ‘NY’ in this case. This overestimation leads to poor performance of this Hash Match operation, it might also affect the performance of other concurrently executing queries requiring memory and hence overestimation is not recommended.     The estimated number of rows, 792000 is much more than the actual number of rows of 8000.  Intermediate Summary: This issue can be avoided by not caching the plan for memory allocating queries. Other possibility is to use recompile hint or optimize for hint to allocate memory for predefined data range.Let’s recreate the stored procedure with recompile hint. --Example provided by www.sqlworkshops.com drop proc CustomersByState go create proc CustomersByState @State char(2) as begin declare @CustomerID int select @CustomerID = e.CustomerID from Customers e inner join CustomersState es on (e.CustomerID = es.CustomerID) where es.State = @State option (maxdop 1, recompile) end go  Let’s execute the stored procedure initially with parameter value ‘WA’ and then with parameter value ‘NY’. --Example provided by www.sqlworkshops.com exec CustomersByState 'WA' go exec CustomersByState 'NY' go  The stored procedure took 297 ms and 1102 ms in line with previous optimal execution times.   The stored procedure with parameter value ‘WA’ has good estimation like before.   Estimated number of rows of 8000 is similar to actual number of rows of 8000.   The stored procedure with parameter value ‘NY’ also has good estimation and memory grant like before because the stored procedure was recompiled with current set of parameter values.  Estimated number of rows of 792000 is similar to actual number of rows of 792000.    The compilation time and compilation CPU of 1 ms is not expensive in this case compared to the performance benefit.   There was no Hash Warning in SQL Profiler.   Let’s recreate the stored procedure with optimize for hint of ‘NY’. --Example provided by www.sqlworkshops.com drop proc CustomersByState go create proc CustomersByState @State char(2) as begin declare @CustomerID int select @CustomerID = e.CustomerID from Customers e inner join CustomersState es on (e.CustomerID = es.CustomerID) where es.State = @State option (maxdop 1, optimize for (@State = 'NY')) end go  Let’s execute the stored procedure initially with parameter value ‘WA’ and then with parameter value ‘NY’. --Example provided by www.sqlworkshops.com exec CustomersByState 'WA' go exec CustomersByState 'NY' go  The stored procedure took 353 ms with parameter value ‘WA’, this is much slower than the optimal execution time of 294 ms we observed previously. This is because of overestimation of memory. The stored procedure with parameter value ‘NY’ has optimal execution time like before.   The stored procedure with parameter value ‘WA’ has overestimation of rows because of optimize for hint value of ‘NY’.   Unlike before, more memory was estimated to this stored procedure based on optimize for hint value ‘NY’.    The stored procedure with parameter value ‘NY’ has good estimation because of optimize for hint value of ‘NY’. Estimated number of rows of 792000 is similar to actual number of rows of 792000.   Optimal amount memory was estimated to this stored procedure based on optimize for hint value ‘NY’.   There was no Hash Warning in SQL Profiler.   This article covers underestimation / overestimation of memory for Hash Match operation. Plan Caching and Query Memory Part I covers underestimation / overestimation for Sort. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   Summary: Cached plan might lead to underestimation or overestimation of memory because the memory is estimated based on first set of execution parameters. It is recommended not to cache the plan if the amount of memory required to execute the stored procedure has a wide range of possibilities. One can mitigate this by using recompile hint, but that will lead to compilation overhead. However, in most cases it might be ok to pay for compilation rather than spilling sort over tempdb which could be very expensive compared to compilation cost. The other possibility is to use optimize for hint, but in case one sorts more data than hinted by optimize for hint, this will still lead to spill. On the other side there is also the possibility of overestimation leading to unnecessary memory issues for other concurrently executing queries. In case of Hash Match operations, this overestimation of memory might lead to poor performance. When the values used in optimize for hint are archived from the database, the estimation will be wrong leading to worst performance, so one has to exercise caution before using optimize for hint, recompile hint is better in this case.   I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts.  Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.   Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk.   R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • Entity Framework 4.3.1 Code based Migrations and Connector/Net 6.6

    - by GABMARTINEZ
     Code-based migrations is a new feature as part of the Connector/Net support for Entity Framework 4.3.1. In this tutorial we'll see how we can use it so we can keep track of the changes done to our database creating a new application using the code first approach. If you don't have a clear idea about how code first works we highly recommend you to check this subject before going further with this tutorial. Creating our Model and Database with Code First  From VS 2010  1. Create a new console application 2.  Add the latest Entity Framework official package using Package Manager Console (Tools Menu, then Library Package Manager -> Package Manager Console). In the Package Manager Console we have to type  Install-Package EntityFramework This will add the latest version of this library.  We will also need to make some changes to your config file. A <configSections> was added which contains the version you have from EntityFramework.  An <entityFramework> section was also added where you can set up some initialization. This section is optional and by default is generated to use SQL Express. Since we don't need it for now (we'll see more about it below) let's leave this section empty as shown below. 3. Create a new Model with a simple entity. 4. Enable Migrations to generate the our Configuration class. In the Package Manager Console we have to type  Enable-Migrations; This will make some changes in our application. It will create a new folder called Migrations where all the migrations representing the changes we do to our model.  It will also create a Configuration class that we'll be using to initialize our SQL Generator and some other values like if we want to enable Automatic Migrations.  You can see that it already has the name of our DbContext. You can also create you Configuration class manually. 5. Specify our Model Provider. We need to specify in our Class Configuration that we'll be using MySQLClient since this is not part of the generated code. Also please make sure you have added the MySql.Data and the MySql.Data.Entity references to your project. using MySql.Data.Entity;   // Add the MySQL.Data.Entity namespace public Configuration() { this.AutomaticMigrationsEnabled = false; SetSqlGenerator("MySql.Data.MySqlClient", new MySql.Data.Entity.MySqlMigrationSqlGenerator());    // This will add our MySQLClient as SQL Generator } 6. Add our Data Provider and set up our connection string <connectionStrings> <add name="PersonalContext" connectionString="server=localhost;User Id=root;database=Personal;" providerName="MySql.Data.MySqlClient" /> </connectionStrings> <system.data> <DbProviderFactories> <remove invariant="MySql.Data.MySqlClient" /> <add name="MySQL Data Provider" invariant="MySql.Data.MySqlClient" description=".Net Framework Data Provider for MySQL" type="MySql.Data.MySqlClient.MySqlClientFactory, MySql.Data, Version=6.6.2.0, Culture=neutral, PublicKeyToken=c5687fc88969c44d" /> </DbProviderFactories> </system.data> * The version recommended to use of Connector/Net is 6.6.2 or earlier. At this point we can create our database and then start working with Migrations. So let's do some data access so our database get's created. You can run your application and you'll get your database Personal as specified in our config file. Add our first migration Migrations are a great resource as we can have a record for all the changes done and will generate the MySQL statements required to apply these changes to the database. Let's add a new property to our Person class public string Email { get; set; } If you try to run your application it will throw an exception saying  The model backing the 'PersonelContext' context has changed since the database was created. Consider using Code First Migrations to update the database (http://go.microsoft.com/fwlink/?LinkId=238269). So as suggested let's add our first migration for this change. In the Package Manager Console let's type Add-Migration AddEmailColumn Now we have the corresponding class which generate the necessary operations to update our database. namespace MigrationsFromScratch.Migrations { using System.Data.Entity.Migrations; public partial class AddEmailColumn : DbMigration { public override void Up(){ AddColumn("People", "Email", c => c.String(unicode: false)); } public override void Down() { DropColumn("People", "Email"); } } } In the Package Manager Console let's type Update-Database Now you can check your database to see all changes were succesfully applied. Now let's add a second change and generate our second migration public class Person   {       [Key]       public int PersonId { get; set;}       public string Name { get; set; }       public string Address {get; set;}       public string Email { get; set; }       public List<Skill> Skills { get; set; }   }   public class Skill   {     [Key]     public int SkillId { get; set; }     public string Description { get; set; }   }   public class PersonelContext : DbContext   {     public DbSet<Person> Persons { get; set; }     public DbSet<Skill> Skills { get; set; }   } If you would like to customize any part of this code you can do that at this step. You can see there is the up method which can update your database and the down that can revert the changes done. If you customize any code you should make sure to customize in both methods. Now let's apply this change. Update-database -verbose I added the verbose flag so you can see all the SQL generated statements to be run. Downgrading changes So far we have always upgraded to the latest migration, but there may be times when you want downgrade to a specific migration. Let's say we want to return to the status we have before our last migration. We can use the -TargetMigration option to specify the migration we'd like to return. Also you can use the -verbose flag. If you like to go  back to the Initial state you can do: Update-Database -TargetMigration:$InitialDatabase  or equivalent: Update-Database -TargetMigration:0  Migrations doesn't allow by default a migration that would ocurr in a data loss. One case when you can got this message is for example in a DropColumn operation. You can override this configuration by setting AutomaticMigrationDataLossAllowed to true in the configuration class. Also you can set your Database Initializer in case you want that these Migrations can be applied automatically and you don't have to go all the way through creating a migration and updating later the changes. Let's see how. Database Initialization by Code We can specify an initialization strategy by using Database.SetInitializer (http://msdn.microsoft.com/en-us/library/gg679461(v=vs.103)). One of the strategies that I found very useful when you are at a development stage (I mean not for production) is the MigrateDatabaseToLatestVersion. This strategy will make all the necessary migrations each time there is a change in our model that needs a database replication, this also implies that we have to enable AutomaticMigrationsEnabled flag in our Configuration class. public Configuration()         {             AutomaticMigrationsEnabled = true;             AutomaticMigrationDataLossAllowed = true;             SetSqlGenerator("MySql.Data.MySqlClient", new MySql.Data.Entity.MySqlMigrationSqlGenerator());    // This will add our MySQLClient as SQL Generator          } In the new EntityFramework section of your Config file we can set this at a context level basis.  The syntax is as follows: <contexts> <context type="Custom DbContext name, Assembly name"> <databaseInitializer type="System.Data.Entity.MigrateDatabaseToLatestVersion`2[[ Custom DbContext name, Assembly name],  [Configuration class name, Assembly name]],  EntityFramework" /> </context> </contexts> In our example this would be: The syntax is kind of odd but very convenient. This way all changes will always be applied when we do any data access in our application. There are a lot of new things to explore in EF 4.3.1 and Migrations so we'll continue writing some more posts about it. Please let us know if you have any questions or comments, also please check our forums here where we keep answering questions in general for the community.  Hope you found this information useful. Happy MySQL/.Net Coding! 

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  • How to compile ocaml to native code

    - by Indra Ginanjar
    i'm really interested learning ocaml, it fast (they said it could be compiled to native code) and it's functional. So i tried to code something easy like enabling mysql event scheduler. #load "unix.cma";; #directory "+mysql";; #load "mysql.cma";; let db = Mysql.quick_connect ~user:"username" ~password:"userpassword" ~database:"databasename"();; let sql = Printf.sprintf "SET GLOBAL EVENT_SCHEDULER=1;" in (Mysql.exec db sql);; It work fine on ocaml interpreter, but when i was trying to compile it to native (i'm using ubuntu karmic), neither of these command worked ocamlopt -o mysqleventon mysqleventon.ml unix.cmxa mysql.cmxa ocamlopt -o mysqleventon mysqleventon.ml unix.cma mysql.cma i also tried ocamlc -c mysqleventon.ml unix.cma mysql.cma all of them resulting same message File "mysqleventon.ml", line 1, characters 0-1: Error: Syntax error Then i tried to remove the "# load", so the code goes like this let db = Mysql.quick_connect ~user:"username" ~password:"userpassword" ~database:"databasename"();; let sql = Printf.sprintf "SET GLOBAL EVENT_SCHEDULER=1;" in (Mysql.exec db sql);; The ocamlopt resulting message File "mysqleventon.ml", line 1, characters 9-28: Error: Unbound value Mysql.quick_connect I hope someone could tell me, where did i'm doing wrong.

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  • How can I to take an HDMI TV broadcast and overlay text in real time?

    - by ObligatoryMoniker
    Our company wants to be able to have LCD TVs displaying TV with the ability to add an overlay, like a stock ticker at the bottom of the screen, where human resources can add content to be displayed. I have been trying to nail down the correct terminology for this and come across terms like Keying, Compositing, Live Broadcast Graphics Presentation, and Hardware Overlay but I don't know which of these terms is truly the correct way to refer to what I am trying to do. Black Magic offers a product that seems like it can do what I am looking for but their product seems like it is geared for a totally different purpose than what I would be using it for. Compix also seems to have a product that would do what I need but again it seems like killing a fly with a sledge hammer. How can I to take an HDMI TV broadcast and overlay arbitrary content in real time?

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  • Are there any tools for monitoring individual Apache virtual hosts in real-time?

    - by Dave Forgac
    I'm looking for a way to monitor and record Apache traffic, separated by virtual host. I am currently using Munin to capture this and other data for the entire server however I can't seem to find a way to do this by vhost. This link describes using a module called mod_watch which is apparently no longer in development: http://www.freshnet.org/wordpress/2007/03/08/monitoring-apaches-virtualhost-with-munin/ The file that is listed as being compatible with Apache 2.x is reported to have problems with missing vhosts an reporting data correctly. Does anyone know of a reliable way to determine real-time traffic per vhost? If I can find this it should be easy enough to write a new Munin plugin.

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