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  • Dell laptop keyboard doesn't work

    - by Tam
    I'm trying to fix my in-laws laptop, it's a Dell Studio 1745 that's running Windows 7 64 bit. The problem is that most of the keys on the keyboard do not work. The function keys work and the caps lock and numpad keys work, but no other keys do. If I hit the F2 key enough times when starting up, I can get to the BIOS, but after that even the function keys stop working. If I let it go all the way to the Windows login screen, I can see that the caps lock and num lock work - little images on screen actually appear, but they don't toggle the state of the key, i.e.,capslock is always off, numlock is always off. Using the fn+function combo works, so changing the brightness, etc. works fine. I'm stumped. I've tried disconnecting power and battery and leaving it for an hour or so before starting up but that hasn't helped either. Also - this might be a red herring - the touchpad is failing as well, the MS Device Manager says that it's failing with status 10, "unable to start device"

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  • Apache APC (Windows) Can I optimize these APC settings more?

    - by ar099968
    I would like to optimize APC some more but I am not sure where I could do something. First here is the stats after 1 week of running with the current configuration: General Cache Information APC Version 3.1.9 PHP Version 5.4.4 APC Host XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Server Software Apache Shared Memory 1 Segment(s) with 128.0 MBytes (IPC shared memory, Windows Slim RWLOCK (native) locking) Start Time 2014/06/08 05:00:00 Uptime 6 days, 11 hours and 55 minutes File Upload Support 1 Host Status Diagrams Memory Usage Free: 99.7 MBytes (77.9%) Used: 28.3 MBytes (22.1%) Hits & Misses Hits: 510818 (99.9%) Misses: 608 (0.1%) Detailed Memory Usage and Fragmentation Fragmentation: 0.60% (609.8 KBytes out of 99.7 MBytes in 83 fragments) File Cache Information Cached Files 693 ( 35.4 MBytes) Hits 5143359 Misses 1087 Request Rate (hits, misses) 13.24 cache requests/second Hit Rate 13.24 cache requests/second Miss Rate 0.00 cache requests/second Insert Rate 0.01 cache requests/second Cache full count 0 User Cache Information Cached Variables 0 ( 0.0 Bytes) Hits 0 Misses 0 Request Rate (hits, misses) 0.00 cache requests/second Hit Rate 0.00 cache requests/second Miss Rate 0.00 cache requests/second Insert Rate 0.00 cache requests/second Cache full count 0 Runtime Settings apc.cache_by_default 1 apc.canonicalize 1 apc.coredump_unmap 0 apc.enable_cli 0 apc.enabled 1 apc.file_md5 0 apc.file_update_protection 2 apc.filters -/apc.php$, -/apc_clean.php$, -.tpl.cache.php$, -.tpl.php$, -.string.cache.php$, -.string.php$ apc.gc_ttl 3600 apc.include_once_override 0 apc.lazy_classes 0 apc.lazy_functions 0 apc.max_file_size 2M apc.num_files_hint 7000 apc.preload_path apc.report_autofilter 0 apc.rfc1867 0 apc.rfc1867_freq 0 apc.rfc1867_name APC_UPLOAD_PROGRESS apc.rfc1867_prefix upload_ apc.rfc1867_ttl 3600 apc.serializer default apc.shm_segments 1 apc.shm_size 128M apc.shm_strings_buffer 4M apc.slam_defense 0 apc.stat 1 apc.stat_ctime 0 apc.ttl 7200 apc.use_request_time 1 apc.user_entries_hint 4096 apc.user_ttl 7200 apc.write_lock 1

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  • connections in FIN_WAIT and CLOSE_WAIT state

    - by Raj
    I would like to elaborate the setup so You guys can understand the question and answer more accurately. I have HAProxy as load-balancer, 4 webservers (apache 2.2.3) and one database server (MySQL 5). I am monitoring these servers by nagios. I have disabled the keepalive on apache as we have only 8GB of memory. Now what happens whenever I receive alerts for high memory and cpu utilization, I have observed that the connections from apache to database server hang in established mode (keepalive with timeout value of 7200) and at other side means connections between haproxy and apache shows status as FIN_WAIT on haproxy server and CLOSE_WAIT at apache side. I also see the huge memory swapping and apache taking the most of the memory. I did strace on apache process and did not find any information. strace gets attached to apache process but did not produce any output. The processlist on Mysql server show s those processes in sleep mode. The application on webserver is Magento a php application. if you need further information please let me know. Thanks.

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  • cygwin fork error

    - by Techie Help
    I have set up a new PC and installed cygwin on it. Its windows 7 pro. Whenever I try to build our application on it, I get the following error: 0 [main] sh 3472 child_info_fork::abort: can't commit memory for stack 0x28A000(90112), Win32 error 487 /bin/sh: fork: retry: Resource temporarily unavailable 0 [main] sh 3220 child_info_fork::abort: can't commit memory for stack 0x28A000(90112), Win32 error 487 /bin/sh: fork: retry: Resource temporarily unavailable 0 [main] sh 4896 child_info_fork::abort: can't commit memory for stack 0x28A000(90112), Win32 error 487 /bin/sh: fork: retry: Resource temporarily unavailable 0 [main] sh 4884 child_info_fork::abort: can't commit memory for stack 0x28A000(90112), Win32 error 487 It prints this few times and then dies. I have already done a lot of research on this problem. I have already uninstalled and installed cygwin more than 5 times. Done rebaseall everytime I installed it. Checked for possible BLODA, I had notron antivirus, which I have removed. As an aside, I tried posting this question to cygwin mailing list after subscribing to it. But my mail does not appear on the list. I suppose they want address to be munged and I have no clue how to do it. supposedly, they are treating it as a spam. Any idea how I can post to the mailing list there.

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  • I'm having trouble getting my server to appear online.

    - by JMRboosties
    Total newb question I'm sure. First I had installed WAMP (http://www.wampserver.com), and I was able to access my pages from other computers in my router network, and the virtual device used to debug Android programs (the purpose of my having a server). This functionality failed, however, at some point over these past few days. While my own browser displays the pages just fine, other computers, my Android phone (on our room's wifi), and my virtual device are no longer able to connect to my pages. I had not made any changes in the settings. I uninstalled WAMP and installed EasyPHP. However, the problem was not resolved. I know this is rather vague, but does anyone here have an idea of what may have happened? I forwarded both port 80 (I know its the default HTTP port, I did it just to be safe), and now port 8888 which EasyPHP uses. I turned my firewall on my hosting computer off for good measure. I cannot access my pages from neither remote computers or computers using my router. Any ideas you may have on how to resolve this would be awesome, thanks a lot. And if you need anymore info please tell me.

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  • MySQL Config File for Large System

    - by Jonathon
    We are running MySQL on a Windows 2003 Server Enterpise Edition box. MySQL is about the only program running on the box. We have approx. 8 slaves replicated to it, but my understanding is that having multiple slaves connecting to the same master does not significantly slow down performance, if at all. The master server has 16G RAM, 10 Terabyte drives in RAID 10, and four dual-core processors. From what I have seen from other sites, we have a really robust machine as our master db server. We just upgraded from a machine with only 4G RAM, but with similar hard drives, RAID, etc. It also ran Apache on it, so it was our db server and our application server. It was getting a little slow, so we split the db server onto this new machine and kept the application server on the first machine. We also distributed the application load amongst a few of our other slave servers, which also run the application. The problem is the new db server has mysqld.exe consuming 95-100% of CPU almost all the time and is really causing the app to run slowly. I know we have several queries and table structures that could be better optimized, but since they worked okay on the older, smaller server, I assume that our my.ini (MySQL config) file is not properly configured. Most of what I see on the net is for setting config files on small machines, so can anyone help me get the my.ini file correct for a large dedicated machine like ours? I just don't see how mysqld could get so bogged down! FYI: We have about 100 queries per second. We only use MyISAM tables, so skip-innodb is set in the ini file. And yes, I know it is reading the ini file correctly because I can change some settings (like the server-id and it will kill the server at startup). Here is the my.ini file: #MySQL Server Instance Configuration File # ---------------------------------------------------------------------- # Generated by the MySQL Server Instance Configuration Wizard # # # Installation Instructions # ---------------------------------------------------------------------- # # On Linux you can copy this file to /etc/my.cnf to set global options, # mysql-data-dir/my.cnf to set server-specific options # (@localstatedir@ for this installation) or to # ~/.my.cnf to set user-specific options. # # On Windows you should keep this file in the installation directory # of your server (e.g. C:\Program Files\MySQL\MySQL Server X.Y). To # make sure the server reads the config file use the startup option # "--defaults-file". # # To run run the server from the command line, execute this in a # command line shell, e.g. # mysqld --defaults-file="C:\Program Files\MySQL\MySQL Server X.Y\my.ini" # # To install the server as a Windows service manually, execute this in a # command line shell, e.g. # mysqld --install MySQLXY --defaults-file="C:\Program Files\MySQL\MySQL Server X.Y\my.ini" # # And then execute this in a command line shell to start the server, e.g. # net start MySQLXY # # # Guildlines for editing this file # ---------------------------------------------------------------------- # # In this file, you can use all long options that the program supports. # If you want to know the options a program supports, start the program # with the "--help" option. # # More detailed information about the individual options can also be # found in the manual. # # # CLIENT SECTION # ---------------------------------------------------------------------- # # The following options will be read by MySQL client applications. # Note that only client applications shipped by MySQL are guaranteed # to read this section. If you want your own MySQL client program to # honor these values, you need to specify it as an option during the # MySQL client library initialization. # [client] port=3306 [mysql] default-character-set=latin1 # SERVER SECTION # ---------------------------------------------------------------------- # # The following options will be read by the MySQL Server. Make sure that # you have installed the server correctly (see above) so it reads this # file. # [mysqld] # The TCP/IP Port the MySQL Server will listen on port=3306 #Path to installation directory. All paths are usually resolved relative to this. basedir="D:/MySQL/" #Path to the database root datadir="D:/MySQL/data" # The default character set that will be used when a new schema or table is # created and no character set is defined default-character-set=latin1 # The default storage engine that will be used when create new tables when default-storage-engine=MYISAM # Set the SQL mode to strict #sql-mode="STRICT_TRANS_TABLES,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION" # we changed this because there are a couple of queries that can get blocked otherwise sql-mode="" #performance configs skip-locking max_allowed_packet = 1M table_open_cache = 512 # The maximum amount of concurrent sessions the MySQL server will # allow. One of these connections will be reserved for a user with # SUPER privileges to allow the administrator to login even if the # connection limit has been reached. max_connections=1510 # Query cache is used to cache SELECT results and later return them # without actual executing the same query once again. Having the query # cache enabled may result in significant speed improvements, if your # have a lot of identical queries and rarely changing tables. See the # "Qcache_lowmem_prunes" status variable to check if the current value # is high enough for your load. # Note: In case your tables change very often or if your queries are # textually different every time, the query cache may result in a # slowdown instead of a performance improvement. query_cache_size=168M # The number of open tables for all threads. Increasing this value # increases the number of file descriptors that mysqld requires. # Therefore you have to make sure to set the amount of open files # allowed to at least 4096 in the variable "open-files-limit" in # section [mysqld_safe] table_cache=3020 # Maximum size for internal (in-memory) temporary tables. If a table # grows larger than this value, it is automatically converted to disk # based table This limitation is for a single table. There can be many # of them. tmp_table_size=30M # How many threads we should keep in a cache for reuse. When a client # disconnects, the client's threads are put in the cache if there aren't # more than thread_cache_size threads from before. This greatly reduces # the amount of thread creations needed if you have a lot of new # connections. (Normally this doesn't give a notable performance # improvement if you have a good thread implementation.) thread_cache_size=64 #*** MyISAM Specific options # The maximum size of the temporary file MySQL is allowed to use while # recreating the index (during REPAIR, ALTER TABLE or LOAD DATA INFILE. # If the file-size would be bigger than this, the index will be created # through the key cache (which is slower). myisam_max_sort_file_size=100G # If the temporary file used for fast index creation would be bigger # than using the key cache by the amount specified here, then prefer the # key cache method. This is mainly used to force long character keys in # large tables to use the slower key cache method to create the index. myisam_sort_buffer_size=64M # Size of the Key Buffer, used to cache index blocks for MyISAM tables. # Do not set it larger than 30% of your available memory, as some memory # is also required by the OS to cache rows. Even if you're not using # MyISAM tables, you should still set it to 8-64M as it will also be # used for internal temporary disk tables. key_buffer_size=3072M # Size of the buffer used for doing full table scans of MyISAM tables. # Allocated per thread, if a full scan is needed. read_buffer_size=2M read_rnd_buffer_size=8M # This buffer is allocated when MySQL needs to rebuild the index in # REPAIR, OPTIMZE, ALTER table statements as well as in LOAD DATA INFILE # into an empty table. It is allocated per thread so be careful with # large settings. sort_buffer_size=2M #*** INNODB Specific options *** innodb_data_home_dir="D:/MySQL InnoDB Datafiles/" # Use this option if you have a MySQL server with InnoDB support enabled # but you do not plan to use it. This will save memory and disk space # and speed up some things. skip-innodb # Additional memory pool that is used by InnoDB to store metadata # information. If InnoDB requires more memory for this purpose it will # start to allocate it from the OS. As this is fast enough on most # recent operating systems, you normally do not need to change this # value. SHOW INNODB STATUS will display the current amount used. innodb_additional_mem_pool_size=11M # If set to 1, InnoDB will flush (fsync) the transaction logs to the # disk at each commit, which offers full ACID behavior. If you are # willing to compromise this safety, and you are running small # transactions, you may set this to 0 or 2 to reduce disk I/O to the # logs. Value 0 means that the log is only written to the log file and # the log file flushed to disk approximately once per second. Value 2 # means the log is written to the log file at each commit, but the log # file is only flushed to disk approximately once per second. innodb_flush_log_at_trx_commit=1 # The size of the buffer InnoDB uses for buffering log data. As soon as # it is full, InnoDB will have to flush it to disk. As it is flushed # once per second anyway, it does not make sense to have it very large # (even with long transactions). innodb_log_buffer_size=6M # InnoDB, unlike MyISAM, uses a buffer pool to cache both indexes and # row data. The bigger you set this the less disk I/O is needed to # access data in tables. On a dedicated database server you may set this # parameter up to 80% of the machine physical memory size. Do not set it # too large, though, because competition of the physical memory may # cause paging in the operating system. Note that on 32bit systems you # might be limited to 2-3.5G of user level memory per process, so do not # set it too high. innodb_buffer_pool_size=500M # Size of each log file in a log group. You should set the combined size # of log files to about 25%-100% of your buffer pool size to avoid # unneeded buffer pool flush activity on log file overwrite. However, # note that a larger logfile size will increase the time needed for the # recovery process. innodb_log_file_size=100M # Number of threads allowed inside the InnoDB kernel. The optimal value # depends highly on the application, hardware as well as the OS # scheduler properties. A too high value may lead to thread thrashing. innodb_thread_concurrency=10 #replication settings (this is the master) log-bin=log server-id = 1 Thanks for all the help. It is greatly appreciated.

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  • Windows Azure: Announcing Support for Windows Server 2012 R2 + Some Nice Price Cuts

    - by ScottGu
    Today we released some great updates to Windows Azure: Virtual Machines: Support for Windows Server 2012 R2 Cloud Services: Support for Windows Server 2012 R2 and .NET 4.5.1 Windows Azure Pack: Use Windows Azure features on-premises using Windows Server 2012 R2 Price Cuts: Up to 22% Price Reduction on Memory-Intensive Instances Below are more details about each of the improvements: Virtual Machines: Support for Windows Server 2012 R2 This morning we announced the release of Windows Server 2012 R2 – which is a fantastic update to Windows Server and includes a ton of great enhancements. This morning we are also excited to announce that the general availability image of Windows Server 2012 RC is now supported on Windows Azure.  Windows Azure is the first cloud provider to offer the final release of Windows Server 2012 R2, and it is incredibly easy to launch your own Windows Server 2012 R2 instance with it. To create a new Windows Server 2012 R2 instance simply choose New->Compute->Virtual Machine within the Windows Azure Management Portal.  You can select the “Windows Server 2012 R2” image and create a new Virtual Machine using the “Quick Create” option: Or alternatively click the “From Gallery” option if you want to customize even more configuration options (endpoints, remote powershell, availability set, etc): Creating and instantiating a new Virtual Machine on Windows Azure is very fast.  In fact, the Windows Server 2012 R2 image now deploys and runs 30% faster than previous versions of Windows Server. Once the VM is deployed you can drill into it to track its health and manage its settings: Clicking the “Connect” button allows you to remote desktop into the VM – at which point you can customize and manage it as a full administrator however you want: If you haven’t tried Windows Server 2012 R2 yet – give it a try with Windows Azure.  There is no easier way to get an instance of it up and running! Cloud Services: Support for using Windows Server 2012 R2 with Web and Worker Roles Today’s Windows Azure release also allows you to now use Windows Server 2012 R2 and .NET 4.5.1 within Web and Worker Roles within Cloud Service based applications.  Enabling this is easy.  You can configure existing existing Cloud Service application to use Windows Server 2012 R2 by updating your Cloud Service Configuration File (.cscfg) to use the new “OS Family 4” setting: Or alternatively you can use the Windows Azure Management Portal to update cloud services that are already deployed on Windows Azure.  Simply choose the configure tab on them and select Windows Server 2012 R2 in the Operating System Family dropdown: The approaches above enable you to immediately take advantage of Windows Server 2012 R2 and .NET 4.5.1 and all the great features they provide. Windows Azure Pack: Use Windows Azure features on Windows Server 2012 R2 Today we also made generally available the Windows Azure Pack, which is a free download that enables you to run Windows Azure Technology within your own datacenter, an on-premises private cloud environment, or with one of our service provider/hosting partners who run Windows Server. Windows Azure Pack enables you to use a management portal that has the exact same UI as the Windows Azure Management Portal, and within which you can create and manage Virtual Machines, Web Sites, and Service Bus – all of which can run on Windows Server and System Center.  The services provided with the Windows Azure Pack are consistent with the services offered within our Windows Azure public cloud offering.  This consistency enables organizations and developers to build applications and solutions that can run in any hosting environment – and which use the same development and management approach.  The end result is an offering with incredible flexibility. You can learn more about Windows Azure Pack and download/deploy it today here. Price Cuts: Up to 22% Reduction on Memory Intensive Instances Today we are also reducing prices by up to 22% on our memory-intensive VM instances (specifically our A5, A6, and A7 instances).  These price reductions apply to both Windows and Linux VM instances, as well as for Cloud Service based applications: These price reductions will take effect in November, and will enable you to run applications that demand larger memory (such as SharePoint, Databases, in-memory analytics, etc) even more cost effectively. Summary Today’s release enables you to start using Windows Server 2012 R2 within Windows Azure immediately, and take advantage of our Cloud OS vision both within our datacenters – and using the Windows Azure Pack within both your existing datacenters and those of our partners. If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using all of the above features today.  Then visit the Windows Azure Developer Center to learn more about how to build apps with it. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • Diagnose PC Hardware Problems with an Ubuntu Live CD

    - by Trevor Bekolay
    So your PC randomly shuts down or gives you the blue screen of death, but you can’t figure out what’s wrong. The problem could be bad memory or hardware related, and thankfully the Ubuntu Live CD has some tools to help you figure it out. Test your RAM with memtest86+ RAM problems are difficult to diagnose—they can range from annoying program crashes, or crippling reboot loops. Even if you’re not having problems, when you install new RAM it’s a good idea to thoroughly test it. The Ubuntu Live CD includes a tool called Memtest86+ that will do just that—test your computer’s RAM! Unlike many of the Live CD tools that we’ve looked at so far, Memtest86+ has to be run outside of a graphical Ubuntu session. Fortunately, it only takes a few keystrokes. Note: If you used UNetbootin to create an Ubuntu flash drive, then memtest86+ will not be available. We recommend using the Universal USB Installer from Pendrivelinux instead (persistence is possible with Universal USB Installer, but not mandatory). Boot up your computer with a Ubuntu Live CD or USB drive. You will be greeted with this screen: Use the down arrow key to select the Test memory option and hit Enter. Memtest86+ will immediately start testing your RAM. If you suspect that a certain part of memory is the problem, you can select certain portions of memory by pressing “c” and changing that option. You can also select specific tests to run. However, the default settings of Memtest86+ will exhaustively test your memory, so we recommend leaving the settings alone. Memtest86+ will run a variety of tests that can take some time to complete, so start it running before you go to bed to give it adequate time. Test your CPU with cpuburn Random shutdowns – especially when doing computationally intensive tasks – can be a sign of a faulty CPU, power supply, or cooling system. A utility called cpuburn can help you determine if one of these pieces of hardware is the problem. Note: cpuburn is designed to stress test your computer – it will run it fast and cause the CPU to heat up, which may exacerbate small problems that otherwise would be minor. It is a powerful diagnostic tool, but should be used with caution. Boot up your computer with a Ubuntu Live CD or USB drive, and choose to run Ubuntu from the CD or USB drive. When the desktop environment loads up, open the Synaptic Package Manager by clicking on the System menu in the top-left of the screen, then selecting Administration, and then Synaptic Package Manager. Cpuburn is in the universe repository. To enable the universe repository, click on Settings in the menu at the top, and then Repositories. Add a checkmark in the box labeled “Community-maintained Open Source software (universe)”. Click close. In the main Synaptic window, click the Reload button. After the package list has reloaded and the search index has been rebuilt, enter “cpuburn” in the Quick search text box. Click the checkbox in the left column, and select Mark for Installation. Click the Apply button near the top of the window. As cpuburn installs, it will caution you about the possible dangers of its use. Assuming you wish to take the risk (and if your computer is randomly restarting constantly, it’s probably worth it), open a terminal window by clicking on the Applications menu in the top-left of the screen and then selection Applications > Terminal. Cpuburn includes a number of tools to test different types of CPUs. If your CPU is more than six years old, see the full list; for modern AMD CPUs, use the terminal command burnK7 and for modern Intel processors, use the terminal command burnP6 Our processor is an Intel, so we ran burnP6. Once it started up, it immediately pushed the CPU up to 99.7% total usage, according to the Linux utility “top”. If your computer is having a CPU, power supply, or cooling problem, then your computer is likely to shutdown within ten or fifteen minutes. Because of the strain this program puts on your computer, we don’t recommend leaving it running overnight – if there’s a problem, it should crop up relatively quickly. Cpuburn’s tools, including burnP6, have no interface; once they start running, they will start driving your CPU until you stop them. To stop a program like burnP6, press Ctrl+C in the terminal window that is running the program. Conclusion The Ubuntu Live CD provides two great testing tools to diagnose a tricky computer problem, or to stress test a new computer. While they are advanced tools that should be used with caution, they’re extremely useful and easy enough that anyone can use them. Similar Articles Productive Geek Tips Reset Your Ubuntu Password Easily from the Live CDCreate a Persistent Bootable Ubuntu USB Flash DriveAdding extra Repositories on UbuntuHow to Share folders with your Ubuntu Virtual Machine (guest)Building a New Computer – Part 3: Setting it Up TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Have Fun Editing Photo Editing with Citrify Outlook Connector Upgrade Error Gadfly is a cool Twitter/Silverlight app Enable DreamScene in Windows 7 Microsoft’s “How Do I ?” Videos Home Networks – How do they look like & the problems they cause

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  • SQL SERVER – Fundamentals of Columnstore Index

    - by pinaldave
    There are two kind of storage in database. Row Store and Column Store. Row store does exactly as the name suggests – stores rows of data on a page – and column store stores all the data in a column on the same page. These columns are much easier to search – instead of a query searching all the data in an entire row whether the data is relevant or not, column store queries need only to search much lesser number of the columns. This means major increases in search speed and hard drive use. Additionally, the column store indexes are heavily compressed, which translates to even greater memory and faster searches. I am sure this looks very exciting and it does not mean that you convert every single index from row store to column store index. One has to understand the proper places where to use row store or column store indexes. Let us understand in this article what is the difference in Columnstore type of index. Column store indexes are run by Microsoft’s VertiPaq technology. However, all you really need to know is that this method of storing data is columns on a single page is much faster and more efficient. Creating a column store index is very easy, and you don’t have to learn new syntax to create them. You just need to specify the keyword “COLUMNSTORE” and enter the data as you normally would. Keep in mind that once you add a column store to a table, though, you cannot delete, insert or update the data – it is READ ONLY. However, since column store will be mainly used for data warehousing, this should not be a big problem. You can always use partitioning to avoid rebuilding the index. A columnstore index stores each column in a separate set of disk pages, rather than storing multiple rows per page as data traditionally has been stored. The difference between column store and row store approaches is illustrated below: In case of the row store indexes multiple pages will contain multiple rows of the columns spanning across multiple pages. In case of column store indexes multiple pages will contain multiple single columns. This will lead only the columns needed to solve a query will be fetched from disk. Additionally there is good chance that there will be redundant data in a single column which will further help to compress the data, this will have positive effect on buffer hit rate as most of the data will be in memory and due to same it will not need to be retrieved. Let us see small example of how columnstore index improves the performance of the query on a large table. As a first step let us create databaseset which is large enough to show performance impact of columnstore index. The time taken to create sample database may vary on different computer based on the resources. USE AdventureWorks GO -- Create New Table CREATE TABLE [dbo].[MySalesOrderDetail]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, [CarrierTrackingNumber] [nvarchar](25) NULL, [OrderQty] [smallint] NOT NULL, [ProductID] [int] NOT NULL, [SpecialOfferID] [int] NOT NULL, [UnitPrice] [money] NOT NULL, [UnitPriceDiscount] [money] NOT NULL, [LineTotal] [numeric](38, 6) NOT NULL, [rowguid] [uniqueidentifier] NOT NULL, [ModifiedDate] [datetime] NOT NULL ) ON [PRIMARY] GO -- Create clustered index CREATE CLUSTERED INDEX [CL_MySalesOrderDetail] ON [dbo].[MySalesOrderDetail] ( [SalesOrderDetailID]) GO -- Create Sample Data Table -- WARNING: This Query may run upto 2-10 minutes based on your systems resources INSERT INTO [dbo].[MySalesOrderDetail] SELECT S1.* FROM Sales.SalesOrderDetail S1 GO 100 Now let us do quick performance test. I have kept STATISTICS IO ON for measuring how much IO following queries take. In my test first I will run query which will use regular index. We will note the IO usage of the query. After that we will create columnstore index and will measure the IO of the same. -- Performance Test -- Comparing Regular Index with ColumnStore Index USE AdventureWorks GO SET STATISTICS IO ON GO -- Select Table with regular Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO -- Table 'MySalesOrderDetail'. Scan count 1, logical reads 342261, physical reads 0, read-ahead reads 0. -- Create ColumnStore Index CREATE NONCLUSTERED COLUMNSTORE INDEX [IX_MySalesOrderDetail_ColumnStore] ON [MySalesOrderDetail] (UnitPrice, OrderQty, ProductID) GO -- Select Table with Columnstore Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO It is very clear from the results that query is performance extremely fast after creating ColumnStore Index. The amount of the pages it has to read to run query is drastically reduced as the column which are needed in the query are stored in the same page and query does not have to go through every single page to read those columns. If we enable execution plan and compare we can see that column store index performance way better than regular index in this case. Let us clean up the database. -- Cleanup DROP INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] GO TRUNCATE TABLE dbo.MySalesOrderDetail GO DROP TABLE dbo.MySalesOrderDetail GO In future posts we will see cases where Columnstore index is not appropriate solution as well few other tricks and tips of the columnstore index. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • List of Commonly Used Value Types in XNA Games

    - by Michael B. McLaughlin
    Most XNA programmers are concerned about generating garbage. More specifically about allocating GC-managed memory (GC stands for “garbage collector” and is both the name of the class that provides access to the garbage collector and an acronym for the garbage collector (as a concept) itself). Two of the major target platforms for XNA (Windows Phone 7 and Xbox 360) use variants of the .NET Compact Framework. On both variants, the GC runs under various circumstances (Windows Phone 7 and Xbox 360). Of concern to XNA programmers is the fact that it runs automatically after a fixed amount of GC-managed memory has been allocated (currently 1MB on both systems). Many beginning XNA programmers are unaware of what constitutes GC-managed memory, though. So here’s a quick overview. In .NET, there are two different “types” of types: value types and reference types. Only reference types are managed by the garbage collector. Value types are not managed by the garbage collector and are instead managed in other ways that are implementation dependent. For purposes of XNA programming, the important point is that they are not managed by the GC and thus do not, by themselves, increment that internal 1 MB allocation counter. (n.b. Structs are value types. If you have a struct that has a reference type as a member, then that reference type, when instantiated, will still be allocated in the GC-managed memory and will thus count against the 1 MB allocation counter. Putting it in a struct doesn’t change the fact that it gets allocated on the GC heap, but the struct itself is created outside of the GC’s purview). Both value types and reference types use the keyword ‘new’ to allocate a new instance of them. Sometimes this keyword is hidden by a method which creates new instances for you, e.g. XmlReader.Create. But the important thing to determine is whether or not you are dealing with a value types or a reference type. If it’s a value type, you can use the ‘new’ keyword to allocate new instances of that type without incrementing the GC allocation counter (except as above where it’s a struct with a reference type in it that is allocated by the constructor, but there are no .NET Framework or XNA Framework value types that do this so it would have to be a struct you created or that was in some third-party library you were using for that to even become an issue). The following is a list of most all of value types you are likely to use in a generic XNA game: AudioCategory (used with XACT; not available on WP7) AvatarExpression (Xbox 360 only, but exposed on Windows to ease Xbox development) bool BoundingBox BoundingSphere byte char Color DateTime decimal double any enum (System.Enum itself is a class, but all enums are value types such that there are no GC allocations for enums) float GamePadButtons GamePadCapabilities GamePadDPad GamePadState GamePadThumbSticks GamePadTriggers GestureSample int IntPtr (rarely but occasionally used in XNA) KeyboardState long Matrix MouseState nullable structs (anytime you see, e.g. int? something, that ‘?’ denotes a nullable struct, also called a nullable type) Plane Point Quaternion Ray Rectangle RenderTargetBinding sbyte (though I’ve never seen it used since most people would just use a short) short TimeSpan TouchCollection TouchLocation TouchPanelCapabilities uint ulong ushort Vector2 Vector3 Vector4 VertexBufferBinding VertexElement VertexPositionColor VertexPositionColorTexture VertexPositionNormalTexture VertexPositionTexture Viewport So there you have it. That’s not quite a complete list, mind you. For example: There are various structs in the .NET framework you might make use of. I left out everything from the Microsoft.Xna.Framework.Graphics.PackedVector namespace, since everything in there ventures into the realm of advanced XNA programming anyway (n.b. every single instantiable thing in that namespace is a struct and thus a value type; there are also two interfaces but interfaces cannot be instantiated at all and thus don’t figure in to this discussion). There are so many enums you’re likely to use (PlayerIndex, SpriteSortMode, SpriteEffects, SurfaceFormat, etc.) that including them would’ve flooded the list and reduced its utility. So I went with “any enum” and trust that you can figure out what the enums are (and it’s rare to use ‘new’ with an enum anyway). That list also doesn’t include any of the pre-defined static instances of some of the classes (e.g. BlendState.AlphaBlend, BlendState.Opaque, etc.) which are already allocated such that using them doesn’t cause any new allocations and therefore doesn’t increase that 1 MB counter. That list also has a few misleading things. VertexElement, VertexPositionColor, and all the other vertex types are structs. But you’re only likely to ever use them as an array (for use with VertexBuffer or DynamicVertexBuffer), and all arrays are reference types (even arrays of value types such as VertexPositionColor[ ] or int[ ]). * So that’s it for now. The note below may be a bit confusing (it deals with how the GC works and how arrays are managed in .NET). If so, you can probably safely ignore it for now but feel free to ask any questions regardless. * Arrays of value types (where the value type doesn’t contain any reference type members) are much faster for the GC to examine than arrays of reference types, so there is a definite benefit to using arrays of value types where it makes sense. But creating arrays of value types does cause the GC’s allocation counter to increase. Indeed, allocating a large array of a value type is one of the quickest ways to increment the allocation counter since a .NET array is a sequential block of memory. An array of reference types is just a sequential block of references (typically 4 bytes each) while an array of value types is a sequential block of instances of that type. So for an array of Vector3s it would be 12 bytes each since each float is 4 bytes and there are 3 in a Vector3; for an array of VertexPositionNormalTexture structs it would typically be 32 bytes each since it has two Vector3s and a Vector2. (Note that there are a few additional bytes taken up in the creation of an array, typically 12 but sometimes 16 or possibly even more, which depend on the implementation details of the array type on the particular platform the code is running on).

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  • OS Analytics with Oracle Enterprise Manager (by Eran Steiner)

    - by Zeynep Koch
    Oracle Enterprise Manager Ops Center provides a feature called "OS Analytics". This feature allows you to get a better understanding of how the Operating System is being utilized. You can research the historical usage as well as real time data. This post will show how you can benefit from OS Analytics and how it works behind the scenes. The recording of our call to discuss this blog is available here: https://oracleconferencing.webex.com/oracleconferencing/ldr.php?AT=pb&SP=MC&rID=71517797&rKey=4ec9d4a3508564b3Download the presentation here See also: Blog about Alert Monitoring and Problem Notification Blog about Using Operational Profiles to Install Packages and other content Here is quick summary of what you can do with OS Analytics in Ops Center: View historical charts and real time value of CPU, memory, network and disk utilization Find the top CPU and Memory processes in real time or at a certain historical day Determine proper monitoring thresholds based on historical data Drill down into a process details Where to start To start with OS Analytics, choose the OS asset in the tree and click the Analytics tab. You can see the CPU utilization, Memory utilization and Network utilization, along with the current real time top 5 processes in each category (click the image to see a larger version):  In the above screen, you can click each of the top 5 processes to see a more detailed view of that process. Here is an example of one of the processes: One of the cool things is that you can see the process tree for this process along with some port binding and open file descriptors. Next, click the "Processes" tab to see real time information of all the processes on the machine: An interesting column is the "Target" column. If you configured Ops Center to work with Enterprise Manager Cloud Control, then the two products will talk to each other and Ops Center will display the correlated target from Cloud Control in this table. If you are only using Ops Center - this column will remain empty. The "Threshold" tab is particularly helpful - you can view historical trends of different monitored values and based on the graph - determine what the monitoring values should be: You can ask Ops Center to suggest monitoring levels based on the historical values or you can set your own. The different colors in the graph represent the current set levels: Red for critical, Yellow for warning and Blue for Information, allowing you to quickly see how they're positioned against real data. It's important to note that when looking at longer periods, Ops Center smooths out the data and uses averages. So when looking at values such as CPU Usage, try shorter time frames which are more detailed, such as one hour or one day. Applying new monitoring values When first applying new values to monitored attributes - a popup will come up asking if it's OK to get you out of the current Monitoring Policy. This is OK if you want to either have custom monitoring for a specific machine, or if you want to use this current machine as a "Gold image" and extract a Monitoring Policy from it. You can later apply the new Monitoring Policy to other machines and also set it as a default Monitoring Profile. Once you're done with applying the different monitoring values, you can review and change them in the "Monitoring" tab. You can also click the "Extract a Monitoring Policy" in the actions pane on the right to save all the new values to a new Monitoring Policy, which can then be found under "Plan Management" -> "Monitoring Policies". Visiting the past Under the "History" tab you can "go back in time". This is very helpful when you know that a machine was busy a few hours ago (perhaps in the middle of the night?), but you were not around to take a look at it in real time. Here's a view into yesterday's data on one of the machines: You can see an interesting CPU spike happening at around 3:30 am along with some memory use. In the bottom table you can see the top 5 CPU and Memory consumers at the requested time. Very quickly you can see that this spike is related to the Solaris 11 IPS repository synchronization process using the "pkgrecv" command. The "time machine" doesn't stop here - you can also view historical data to determine which of the zones was the busiest at a given time: Under the hood The data collected is stored on each of the agents under /var/opt/sun/xvm/analytics/historical/ An "os.zip" file exists for the main OS. Inside you will find many small text files, named after the Epoch time stamp in which they were taken If you have any zones, there will be a file called "guests.zip" containing the same small files for all the zones, as well as a folder with the name of the zone along with "os.zip" in it If this is the Enterprise Controller or the Proxy Controller, you will have folders called "proxy" and "sat" in which you will find the "os.zip" for that controller The actual script collecting the data can be viewed for debugging purposes as well: On Linux, the location is: /opt/sun/xvmoc/private/os_analytics/collect If you would like to redirect all the standard error into a file for debugging, touch the following file and the output will go into it: # touch /tmp/.collect.stderr   The temporary data is collected under /var/opt/sun/xvm/analytics/.collectdb until it is zipped. If you would like to review the properties for the Analytics, you can view those per each agent in /opt/sun/n1gc/lib/XVM.properties. Find the section "Analytics configurable properties for OS and VSC" to view the Analytics specific values. I hope you find this helpful! Please post questions in the comments below. Eran Steiner

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  • Design Pattern for Complex Data Modeling

    - by Aaron Hayman
    I'm developing a program that has a SQL database as a backing store. As a very broad description, the program itself allows a user to generate records in any number of user-defined tables and make connections between them. As for specs: Any record generated must be able to be connected to any other record in any other user table (excluding itself...the record, not the table). These "connections" are directional, and the list of connections a record has is user ordered. Moreover, a record must "know" of connections made from it to others as well as connections made to it from others. The connections are kind of the point of this program, so there is a strong possibility that the number of connections made is very high, especially if the user is using the software as intended. A record's field can also include aggregate information from it's connections (like obtaining average, sum, etc) that must be updated on change from another record it's connected to. To conserve memory, only relevant information must be loaded at any one time (can't load the entire database in memory at load and go from there). I cannot assume the backing store is local. Right now it is, but eventually this program will include syncing to a remote db. Neither the user tables, connections or records are known at design time as they are user generated. I've spent a lot of time trying to figure out how to design the backing store and the object model to best fit these specs. In my first design attempt on this, I had one object managing all a table's records and connections. I attempted this first because it kept the memory footprint smaller (records and connections were simple dicts), but maintaining aggregate and link information between tables became....onerous (ie...a huge spaghettified mess). Tracing dependencies using this method almost became impossible. Instead, I've settled on a distributed graph model where each record and connection is 'aware' of what's around it by managing it own data and connections to other records. Doing this increases my memory footprint but also let me create a faulting system so connections/records aren't loaded into memory until they're needed. It's also much easier to code: trace dependencies, eliminate cycling recursive updates, etc. My biggest problem is storing/loading the connections. I'm not happy with any of my current solutions/ideas so I wanted to ask and see if anybody else has any ideas of how this should be structured. Connections are fairly simple. They contain: fromRecordID, fromTableID, fromRecordOrder, toRecordID, toTableID, toRecordOrder. Here's what I've come up with so far: Store all the connections in one big table. If I do this, either I load all connections at once (one big db call) or make a call every time a user table is loaded. The big issue here: the size of the connections table has the potential to be huge, and I'm afraid it would slow things down. Store in separate tables all the outgoing connections for each user table. This is probably the worst idea I've had. Now my connections are 'spread out' over multiple tables (one for each user table), which means I have to make a separate DB called to each table (or make a huge join) just to find all the incoming connections for a particular user table. I've avoided making "one big ass table", but I'm not sure the cost is worth it. Store in separate tables all outgoing AND incoming connections for each user table (using a flag to distinguish between incoming vs outgoing). This is the idea I'm leaning towards, but it will essentially double the total DB storage for all the connections (as each connection will be stored in two tables). It also means I have to make sure connection information is kept in sync in both places. This is obviously not ideal but it does mean that when I load a user table, I only need to load one 'connection' table and have all the information I need. This also presents a separate problem, that of connection object creation. Since each user table has a list of all connections, there are two opportunities for a connection object to be made. However, connections objects (designed to facilitate communication between records) should only be created once. This means I'll have to devise a common caching/factory object to make sure only one connection object is made per connection. Does anybody have any ideas of a better way to do this? Once I've committed to a particular design pattern I'm pretty much stuck with it, so I want to make sure I've come up with the best one possible.

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  • InnoDB Compression Improvements in MySQL 5.6

    - by Inaam Rana
    MySQL 5.6 comes with significant improvements for the compression support inside InnoDB. The enhancements that we'll talk about in this piece are also a good example of community contributions. The work on these was conceived, implemented and contributed by the engineers at Facebook. Before we plunge into the details let us familiarize ourselves with some of the key concepts surrounding InnoDB compression. In InnoDB compressed pages are fixed size. Supported sizes are 1, 2, 4, 8 and 16K. The compressed page size is specified at table creation time. InnoDB uses zlib for compression. InnoDB buffer pool will attempt to cache compressed pages like normal pages. However, whenever a page is actively used by a transaction, we'll always have the uncompressed version of the page as well i.e.: we can have a page in the buffer pool in compressed only form or in a state where we have both the compressed page and uncompressed version but we'll never have a page in uncompressed only form. On-disk we'll always only have the compressed page. When both compressed and uncompressed images are present in the buffer pool they are always kept in sync i.e.: changes are applied to both atomically. Recompression happens when changes are made to the compressed data. In order to minimize recompressions InnoDB maintains a modification log within a compressed page. This is the extra space available in the page after compression and it is used to log modifications to the compressed data thus avoiding recompressions. DELETE (and ROLLBACK of DELETE) and purge can be performed without recompressing the page. This is because the delete-mark bit and the system fields DB_TRX_ID and DB_ROLL_PTR are stored in uncompressed format on the compressed page. A record can be purged by shuffling entries in the compressed page directory. This can also be useful for updates of indexed columns, because UPDATE of a key is mapped to INSERT+DELETE+purge. A compression failure happens when we attempt to recompress a page and it does not fit in the fixed size. In such case, we first try to reorganize the page and attempt to recompress and if that fails as well then we split the page into two and recompress both pages. Now lets talk about the three major improvements that we made in MySQL 5.6.Logging of Compressed Page Images:InnoDB used to log entire compressed data on the page to the redo logs when recompression happens. This was an extra safety measure to guard against the rare case where an attempt is made to do recovery using a different zlib version from the one that was used before the crash. Because recovery is a page level operation in InnoDB we have to be sure that all recompress attempts must succeed without causing a btree page split. However, writing entire compressed data images to the redo log files not only makes the operation heavy duty but can also adversely affect flushing activity. This happens because redo space is used in a circular fashion and when we generate much more than normal redo we fill up the space much more quickly and in order to reuse the redo space we have to flush the corresponding dirty pages from the buffer pool.Starting with MySQL 5.6 a new global configuration parameter innodb_log_compressed_pages. The default value is true which is same as the current behavior. If you are sure that you are not going to attempt to recover from a crash using a different version of zlib then you should set this parameter to false. This is a dynamic parameter.Compression Level:You can now set the compression level that zlib should choose to compress the data. The global parameter is innodb_compression_level - the default value is 6 (the zlib default) and allowed values are 1 to 9. Again the parameter is dynamic i.e.: you can change it on the fly.Dynamic Padding to Reduce Compression Failures:Compression failures are expensive in terms of CPU. We go through the hoops of recompress, failure, reorganize, recompress, failure and finally page split. At the same time, how often we encounter compression failure depends largely on the compressibility of the data. In MySQL 5.6, courtesy of Facebook engineers, we have an adaptive algorithm based on per-index statistics that we gather about compression operations. The idea is that if a certain index/table is experiencing too many compression failures then we should try to pack the 16K uncompressed version of the page less densely i.e.: we let some space in the 16K page go unused in an attempt that the recompression won't end up in a failure. In other words, we dynamically keep adding 'pad' to the 16K page till we get compression failures within an agreeable range. It works the other way as well, that is we'll keep removing the pad if failure rate is fairly low. To tune the padding effort two configuration variables are exposed. innodb_compression_failure_threshold_pct: default 5, range 0 - 100,dynamic, implies the percentage of compress ops to fail before we start using to padding. Value 0 has a special meaning of disabling the padding. innodb_compression_pad_pct_max: default 50, range 0 - 75, dynamic, the  maximum percentage of uncompressed data page that can be reserved as pad.

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  • Profiling NetBeans 7.0 Beta 2 and Reporting Problems

    - by christopher.jones
    With NetBeans 7.0 recently going into Beta 2 phase, now is the time to test it out properly and report issues. The development team has been squashing bugs, including memory issues with the PHP bundle.There are some great new PHP related features in NetBeans 7.0, so you know you want to try it out.If you identify something wrong with NetBeans, please report it following the guidelines http://wiki.netbeans.org/IssueReportingGuidelinesDepending on the issues, data to attach to the report is mentioned on: http://wiki.netbeans.org/FaqLogMessagesFile and http://wiki.netbeans.org/FaqProfileMeNowIf you have a memory issue then a memory dump would also be useful. Run the jmap tool for this. There is some background information on http://wiki.netbeans.org/FaqMemoryDump. Here's how I used it.First I set my environment to match the JDK used by NetBeans. In my case I am using a nightly build so the JDK is in the configuration file under $HOME/netbeans-dev-201102210501:$ egrep netbeans_jdkhome $HOME/netbeans-dev-201102210501/etc/netbeans.conf netbeans_jdkhome="/home/cjones/src/jdk1.6.0_24" $ export JAVA_HOME=/home/cjones/src/jdk1.6.0_24 $ export PATH=$JAVA_HOME/bin:$PATH Next, I found the correct process number to examine:$ ps -ef | egrep 'netbeans|jdk'cjones   23230     1  0 16:07 ?        00:00:00 /bin/bash /home/cjones/netbeans-cjones   23438 23230  2 16:07 ?        00:00:09 /home/cjones/src/jdk1.6.0_24/binFinally I used the parent JDK process as the jmap argument:$ jmap -histo:live 23438 num     #instances         #bytes  class name----------------------------------------------   1:         12075        9028656  [I   2:         49535        6581920  <constMethodKlass>   3:         49535        3964128  <methodKlass>   4:         80256        3840776  <symbolKlass>   5:         36093        3635336  [C   6:          5095        3341312  <constantPoolKlass>   7:          5095        2486016  <instanceKlassKlass>   8:          4325        1961432  <constantPoolCacheKlass>   9:         18729        1763976  [B  10:         59952        1438848  java.util.HashMap$Entry  . . .This histogram memory report will help identify the kind of memory issues you are seeing. It may not be as complete as an often tens of megabyte jmap -dump:live,file=/tmp/nbheap.log 23438 heap dump, but is much more easily attached to a bug report.If you want to keep up to date with NetBeans, nightly builds are at: http://bits.netbeans.org/download/trunk/nightly/latest/zip/

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  • I am getting this error on each machine after installing ruby and rails, I created one web site and

    - by Santodsh
    D:\PROJECTS\RubyOnRail\webapp\Welcome>ruby script\server => Booting WEBrick => Rails 2.3.4 application starting on http://0.0.0.0:3000 => Call with -d to detach => Ctrl-C to shutdown server [2010-01-31 21:19:34] INFO WEBrick 1.3.1 [2010-01-31 21:19:34] INFO ruby 1.8.6 (2007-09-24) [i386-mswin32] [2010-01-31 21:19:34] INFO WEBrick::HTTPServer#start: pid=6576 port=3000 /!\ FAILSAFE /!\ Sun Jan 31 21:19:38 +0530 2010 Status: 500 Internal Server Error uninitialized constant Encoding c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:443:in `load_missing_constant' c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:80:in `const_missing' c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:92:in `const_missing' c:/ruby/lib/ruby/gems/1.8/gems/sqlite3-0.0.6/lib/sqlite3/encoding.rb:9:in `f ind' c:/ruby/lib/ruby/gems/1.8/gems/sqlite3-0.0.6/lib/sqlite3/database.rb:69:in ` initialize' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/sqlite3_adapter.rb:13:in `new' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/sqlite3_adapter.rb:13:in `sqlite3_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:223:in `send' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:223:in `new_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:245:in `checkout_new_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:188:in `checkout' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:184:in `loop' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:184:in `checkout' c:/ruby/lib/ruby/1.8/monitor.rb:242:in `synchronize' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:183:in `checkout' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:98:in `connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:326:in `retrieve_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_specification.rb:123:in `retrieve_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_specification.rb:115:in `connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/query_ca che.rb:9:in `cache' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/query_ca che.rb:28:in `call' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:361:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/head.rb:9:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/methodoverride.rb:24:in ` call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/params _parser.rb:15:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/sessio n/cookie_store.rb:93:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/failsa fe.rb:26:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `synchroniz e' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/dispat cher.rb:114:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/reload er.rb:34:in `run' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/dispat cher.rb:108:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/rails/rack/static.rb:31:in `c all' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:46:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in `each' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/rails/rack/log_tailer.rb:17:i n `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/content_length.rb:13:in ` call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/webrick.rb:50:in `service' c:/ruby/lib/ruby/1.8/webrick/httpserver.rb:104:in `service' c:/ruby/lib/ruby/1.8/webrick/httpserver.rb:65:in `run' c:/ruby/lib/ruby/1.8/webrick/server.rb:173:in `start_thread' c:/ruby/lib/ruby/1.8/webrick/server.rb:162:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:162:in `start_thread' c:/ruby/lib/ruby/1.8/webrick/server.rb:95:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:92:in `each' c:/ruby/lib/ruby/1.8/webrick/server.rb:92:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:23:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:82:in `start' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/webrick.rb:14:in `run' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/commands/server.rb:111 c:/ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `gem_origina l_require' c:/ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `require' script/server:3 /!\ FAILSAFE /!\ Sun Jan 31 21:19:39 +0530 2010 Status: 500 Internal Server Error uninitialized constant Encoding c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:443:in `load_missing_constant' c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:80:in `const_missing' c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:92:in `const_missing' c:/ruby/lib/ruby/gems/1.8/gems/sqlite3-0.0.6/lib/sqlite3/encoding.rb:9:in `f ind' c:/ruby/lib/ruby/gems/1.8/gems/sqlite3-0.0.6/lib/sqlite3/database.rb:69:in ` initialize' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/sqlite3_adapter.rb:13:in `new' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/sqlite3_adapter.rb:13:in `sqlite3_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:223:in `send' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:223:in `new_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:245:in `checkout_new_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:188:in `checkout' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:184:in `loop' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:184:in `checkout' c:/ruby/lib/ruby/1.8/monitor.rb:242:in `synchronize' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:183:in `checkout' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:98:in `connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:326:in `retrieve_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_specification.rb:123:in `retrieve_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_specification.rb:115:in `connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/query_ca che.rb:9:in `cache' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/query_ca che.rb:28:in `call' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:361:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/head.rb:9:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/methodoverride.rb:24:in ` call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/params _parser.rb:15:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/sessio n/cookie_store.rb:93:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/failsa fe.rb:26:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `synchroniz e' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/dispat cher.rb:114:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/reload er.rb:34:in `run' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/dispat cher.rb:108:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/rails/rack/static.rb:31:in `c all' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:46:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in `each' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/rails/rack/log_tailer.rb:17:i n `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/content_length.rb:13:in ` call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/webrick.rb:50:in `service' c:/ruby/lib/ruby/1.8/webrick/httpserver.rb:104:in `service' c:/ruby/lib/ruby/1.8/webrick/httpserver.rb:65:in `run' c:/ruby/lib/ruby/1.8/webrick/server.rb:173:in `start_thread' c:/ruby/lib/ruby/1.8/webrick/server.rb:162:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:162:in `start_thread' c:/ruby/lib/ruby/1.8/webrick/server.rb:95:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:92:in `each' c:/ruby/lib/ruby/1.8/webrick/server.rb:92:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:23:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:82:in `start' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/webrick.rb:14:in `run' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/commands/server.rb:111 c:/ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `gem_origina l_require' c:/ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `require' script/server:3

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  • .net thread safety

    - by george9170
    Why is locking a type considered very bad? For example, lock(typeof(DateTime)) I understand that static methods of any class in .net is considered thread safe, and that instance members are not. So it isn't necessary to lock DateTime while you are using it. The book I am reading doesn't explain why it is bad it just says it is. Any explanation will be great.

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  • How to protect critical section in PHP?

    - by Morgan Cheng
    I did some search about this topic but found nothing valuable. If I don't use PHP default session handler, there is no session lock at request level. So, I have to protect critical section by myself. In Java, we have synchronized. In C#, we have lock. In PHP, how to do that?

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  • jquery sortable item cached? #sortable items: '.class1' filter is not working when class is changed

    - by liz
    hello everyone, i came across a weird problem today: i created a sortable list of divs. each div has a class="class1" and items is set to 'class1' (see below simplified code). each div has an a href link that calls a function toggleLock. this function replaces class="class1" with class="locked" for that div. for example: will become the problem is: even though #sortable is set to "make" only items with class="class1" sortable, replacing the class still allows to be sortable. seems like item class is cached at some point. i've tried to refresh #sortable ($('#sortable').sortable("refreshPosition") and $('#sortable').sortable("");), but that didn't work. i've tried both ways of replacing the class: attr('class','lock') and removeClass(), then addClass(). still is sortable. if class is not changed dynamically, but loads into DOM as , then it's not sortable as expected. why wouldn't replacement of the class from class1 to locked prevent that div from being sortable? am i missing something? sample code: <div id="sortable"> <div class="class1" id="1"> <div class="sortHandle">....</div> <href="javascript:void(null);" onclick="toggleLock($(this).attr('id').replace('R',''));" id="R1">lock</a> <p>This is item 1</p> </div> <div class="class1" id="2"> <div class="sortHandle"></div> <href="javascript:void(null);" onclick="toggleLock($(this).attr('id').replace('R',''));" id="R2">lock</a> <p>This is item 2</p> </div> <div class="class1" id="3"> <div class="sortHandle"></div> <href="javascript:void(null);" onclick="toggleLock($(this).attr('id').replace('R',''));" id="R3">lock</a> <p>This is item 3</p> </div> </div> js: $(function() { $("#sortable").sortable({ items: '.class1', handle: '.sortHandle', cursor: 'move', start: function(e,ui) { el = e.target; startPos = ui.item.prevAll().length+1; }, update: function(event, ui) { data = $('.class1').sortable('toArray'); newPos = ui.item.prevAll().length+1; alert("position: "+startPos+"; newposition: "+newPos); } }).disableSelection(); });

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  • Multi-part question about multi-threading, locks and multi-core processors (multi ^ 3)

    - by MusiGenesis
    I have a program with two methods. The first method takes two arrays as parameters, and performs an operation in which values from one array are conditionally written into the other, like so: void Blend(int[] dest, int[] src, int offset) { for (int i = 0; i < src.Length; i++) { int rdr = dest[i + offset]; dest[i + offset] = src[i] > rdr? src[i] : rdr; } } The second method creates two separate sets of int arrays and iterates through them such that each array of one set is Blended with each array from the other set, like so: void CrossBlend() { int[][] set1 = new int[150][75000]; // we'll pretend this actually compiles int[][] set2 = new int[25][10000]; // we'll pretend this actually compiles for (int i1 = 0; i1 < set1.Length; i1++) { for (int i2 = 0; i2 < set2.Length; i2++) { Blend(set1[i1], set2[i2], 0); // or any offset, doesn't matter } } } First question: Since this apporoach is an obvious candidate for parallelization, is it intrinsically thread-safe? It seems like no, since I can conceive a scenario (unlikely, I think) where one thread's changes are lost because a different threads ~simultaneous operation. If no, would this: void Blend(int[] dest, int[] src, int offset) { lock (dest) { for (int i = 0; i < src.Length; i++) { int rdr = dest[i + offset]; dest[i + offset] = src[i] > rdr? src[i] : rdr; } } } be an effective fix? Second question: If so, what would be the likely performance cost of using locks like this? I assume that with something like this, if a thread attempts to lock a destination array that is currently locked by another thread, the first thread would block until the lock was released instead of continuing to process something. Also, how much time does it actually take to acquire a lock? Nanosecond scale, or worse than that? Would this be a major issue in something like this? Third question: How would I best approach this problem in a multi-threaded way that would take advantage of multi-core processors (and this is based on the potentially wrong assumption that a multi-threaded solution would not speed up this operation on a single core processor)? I'm guessing that I would want to have one thread running per core, but I don't know if that's true.

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  • Is TcpClient BeginRead/Send thread safe?

    - by wb
    Using a dotNET TcpClient if I have called an asynchronous BeginRead() on the associated network stream can I still call Write() on that stream on another thread? Or do I have to lock() the TcpClient in the code that is called back from the BeginRead and the code that does the send? Also if I close the TcpClient with: client.GetStream().Close(); client.Close(); Do I have to lock() on the TcpClient as well? Thanks in advance.

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  • How to avoid locking key-guard in windows-mobile

    - by Solitaire
    Hi, Can any one please help me, How to avoid key-guard lock programmatically in windows mobile. i have an application in that after certain minutes key-guard gets lock. i don't want mobile to get locked when my application is running. please suggest me how to do programmatically.. Thanks Grabit

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  • Loading an external image via XAML code in WPF?

    - by Mohammad
    I have an image lock.png beside of my WPF exe file in the images folder. Now, I'm gonna load it into the WPF Project as an image, I've used the following XAML code: <Image Stretch="Fill" Source="pack://siteoforigin:,,,/images/lock.png" /> It works, but Expression Blend or Visual Studio doesn't show it when I'm working on the project. How can we show external images in these situations?

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  • Protect Windows folder without encrypting the contents

    - by Jad
    Hi, I want to protect the "www" folder in my Apache server. Checked some tools on the net like TrueCrypt, FolderEncrypt etc. All these encrypt the folder contents. If the www folder is encrypted, then my php won't work. Is there a way to lock the folder in windows without encrypting its contents.[ A little harder to crack then no lock at all] Regards Jad

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  • LockMode With Subclasses

    - by Lester
    I'm using Fluent Nhibernate with the following query on DerivedClass which extends BaseClass: var query = Session.CreateCriteria<DerivedClass>().SetLockMode(LockMode.Upgrade) What I want is the lock hints (updlock, rowlock) to be applied to both DerivedClass and BaseClass, but the generated SQL only applies the lock hints to DerivedClass: SELECT * FROM DerivedClass this_ with (updlock, rowlock) inner join [BaseClass] this_1_ on this_.Id=this_1_.Id WHERE ... This is the same situation described in http://opensource.atlassian.com/projects/hibernate/browse/HHH-2392 If anyone could point me in the right direction it would be much appreciated.

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