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  • MySQL unstable behavior with external stroge

    - by onurozcelik
    In our project we are using MySQL 5.0.90(InnoDB engine) server with an external storage. We store MySQL data files in an external storage. When the external storage down for a reason we have unstable behaviours. So we made some tests. In Windows Server 2008 We closed external storage physically. MySQL service stoped and we could not reach the server. Then we opened the storage unit and we could not start service until we reconfigured MySQL. We made storage unit offline from operating system. After 3-4 minutes and some insert trials(some insert trials succeded) MySQL service stoped and we could not reach the server. Then we made storage unit online and we could start the service(not automatically). In Windows Server 2003 We made storage unit offline. After 3-4 minutes and some insert trials(some insert trials succeded) MySQL service stoped and we could not reach the server. Then we made storage unit online we could not start the service until we reinstalled MySQL. Before reinstall we tried to reconfigure but it did not work. We closed external storage physically. MySQL service stoped and we could not reach the server. After that we opened the storage unit and we could start service(not automatically) We expect service to autostart after storage unit is online/open. But these tests show unstable behaviors. Is there any solutions to this.

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  • Flexible cloud file storage for a web.py app?

    - by benwad
    I'm creating a web app using web.py (although I may later rewrite it for Tornado) which involves a lot of file manipulation. One example, the app will have a git-style 'commit' operation, in which some files are sent to the server and placed in a new folder along with the unchanged files from the last version. This will involve copying the old folder to the new folder, replacing/adding/deleting the files in the commit to the new folder, then deleting all unchanged files in the old folder (as they are now in the new folder). I've decided on Heroku for the app hosting environment, and I am currently looking at cloud storage options that are built with these kinds of operations in mind. I was thinking of Amazon S3, however I'm not sure if that lets you carry out these kinds of file operations in-place. I was thinking I may have to load these files into the server's RAM and then re-insert them into the bucket, costing me a fortune. I was also thinking of Progstr Filer (http://filer.progstr.com/index.html) but that seems to only integrate with Rails apps. Can anyone help with this? Basically I want file operations to be as cheap as possible.

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  • FIPS-compliant Isolated Storage in WinXP?

    - by lance
    I've read (but not tested) that Isolated Storage uses Sha1Managed, which is not FIPS-compliant? Is that accurate, and can anything be done to use Isolated Storage on a FIPS-compliant WinXP SP2 box? I've seen mention of "Isolated Storage" within both the ClickOnce and Silverlight spaces. I'd appreciate an informed answer regarding either (or both!).

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  • ngModel and component with isolated scope

    - by Artem Andreev
    I am creating simple ui-datetime directive. It splits javascript Date object into _date, _hours and _minutes parts. _date uses jquery ui datepicker, _hours and _minutes - number inputs. See example: http://jsfiddle.net/andreev_artem/nWsZp/3/ On github: https://github.com/andreev-artem/angular_experiments/tree/master/ui-datetime As far as I understand - best practice when you create a new component is to use isolated scope. When I tried to use isolated scope - nothing works. ngModel.$viewValue === undefined. When I tried to use new scope (my example, not so good variant imho) - ngModel uses value on newly created scope. Of course I can create directive with isolated scope and work with ngModel value through "=expression" (example). But I think that working with ngModelController is a better practice. My questions: Can I use ngModelController with isolated scope? If it is not possible which solution is better for creating such component?

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  • XenServer 5.5 local storage problem

    - by Jason Nerer
    Hi community, I have the following problem with a Citrix XenServer 5.5. I had to physically move the host, so I shut down all machines via console: xe vm-shutdown force=true vm=my-machine-uuis-s After that I shut down the machine itself by issuing: halt After the reboot today the local storage repository is unplugged. I was trying to repair it via XenCenter, but I don't trust this one. So I tried: [root@xenserver ~]# xe pbd-list uuid ( RO) : ef6e2f3b-5825-393c-23e1-391d105c87ec host-uuid ( RO): c4bcf09c-2e52-448f-8210-df5d13bd33a9 sr-uuid ( RO): 2fb3be9c-075c-53ed-acb6-42f0c4ad0614 device-config (MRO): device: /dev/disk/by-id/scsi-SATA_WDC_WD5001ABYS-_WD-WCAS83698154,/dev/disk/by-id/scsi-SATA_WDC_WD5001ABYS-_WD-WCAS83694262 currently-attached ( RO): false To reattach the storage I issued: xe pbd-plug uuid=ef6e2f3b-5825-393c-23e1-391d105c87ec That one is running now for a while but not talking to me. The local repo has around 1TB. Should I wait, or are there any other options to reattach the local repo? What could have caused this problem? Any ideas? Thx. J

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  • Large scale storage for incrementally-appended documents?

    - by Ben Dilts
    I need to store hundreds of thousands (right now, potentially many millions) of documents that start out empty and are appended to frequently, but never updated otherwise or deleted. These documents are not interrelated in any way, and just need to be accessed by some unique ID. Read accesses are some subset of the document, which almost always starts midway through at some indexed location (e.g. "document #4324319, save #53 to the end"). These documents start very small, at several KB. They typically reach a final size around 500KB, but many reach 10MB or more. I'm currently using MySQL (InnoDB) to store these documents. Each of the incremental saves is just dumped into one big table with the document ID it belongs to, so reading part of a document looks like "select * from saves where document_id=14 and save_id 53 order by save_id", then manually concatenating it all together in code. Ideally, I'd like the storage solution to be easily horizontally scalable, with redundancy across servers (e.g. each document stored on at least 3 nodes) with easy recovery of crashed servers. I've looked at CouchDB and MongoDB as possible replacements for MySQL, but I'm not sure that either of them make a whole lot of sense for this particular application, though I'm open to being convinced. Any input on a good storage solution?

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  • Sharing storage between servers

    - by El Yobo
    I have a PHP based web application which is currently only using one webserver but will shortly be scaling up to another. In most regards this is pretty straightforward, but the application also stores a lot of files on the filesystem. It seems that there are many approaches to sharing the files between the two servers, from the very simple to the reasonably complex. These are the options that I'm aware of Simple network storage NFS SMB/CIFS Clustered filesystems Lustre GFS/GFS2 GlusterFS Hadoop DFS MogileFS What I want is for a file uploaded via one webserver be immediately available if accessed through the other. The data is extremely important and absolutely cannot be lost, so whatever is implemented needs to a) never lose data and b) have very high availability (as good as, or better, than a local filesystem). It seems like the clustered filesystems will also provide faster data access than local storage (for large files) but that isn't of vita importance at the moment. What would you recommend? Do you have any suggestions to add or anything specifically to look out for with the above options? Any suggestions on how to manage backup of data on the clustered filesystems?

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  • Temporary storage for keeping data between program iterations?

    - by mr.b
    I am working on an application that works like this: It fetches data from many sources, resulting in pool of about 500,000-1,500,000 records (depends on time/day) Data is parsed Part of data is processed in a way to compare it to pre-existing data (read from database), calculations are made, and stored in database. Resulting dataset that has to be stored in database is, however, much smaller in size (compared to original data set), and ranges from 5,000-50,000 records. This process almost always updates existing data, perhaps adds few more records. Then, data from step 2 should be kept somehow, somewhere, so that next time data is fetched, there is a data set which can be used to perform calculations, without touching pre-existing data in database. I should point out that this data can be lost, it's not irreplaceable (key information can be read from database if needed), but it would speed up the process next time. Application components can (and will be) run off different computers (in the same network), so storage has to be reachable from multiple hosts. I have considered using memcached, but I'm not quite sure should I do so, because one record is usually no smaller than 200 bytes, and if I have 1,500,000 records, I guess that it would amount to over 300 MB of memcached cache... But that doesn't seem scalable to me - what if data was 5x that amount? If it were to consume 1-2 GB of cache only to keep data in between iterations (which could easily happen)? So, the question is: which temporary storage mechanism would be most suitable for this kind of processing? I haven't considered using mysql temporary tables, as I'm not sure if they can persist between sessions, and be used by other hosts in network... Any other suggestion? Something I should consider?

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  • High Performance Storage Systems for SQL Server

    Rod Colledge turns his pessimistic mindset to storage systems, and describes the best way to configure the storage systems of SQL Servers for both performance and reliability. Even Rod gets a glint in his eye when he then goes on to describe the dazzling speed of solid-state storage, though he is quick to identify the risks.

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  • Digital Storage for Airline Entertainment

    - by Bill Evjen
    by Thomas Coughlin Common flash memory cards The most common flash memory products currently in use are SD cards and derivative products (e.g. mini and micro-SD cards) Some compact flash used for professional applications (such as DSLR cameras) Evolution of leading flash formats Standardization –> market expansion Market expansion –> volume iNAND –> focus is on enabling embedded X3 iSSD –> ideal for thin form factor devices Flash memory applications Phones are the #1 user of flash memory Flash memory is used as embedded and removable storage in many mobile applications Flash memory is being used in computers as USB sticks and SSDs Possible use of flash memory in computer combined with HDDs (hybrid HDDs and paired or dual storage computers) It can be a removable card or an embedded card These devices can only handle a specific number of writes Flash memory reads considerably quicker than hard drives Hybrid and dual storage in computers SSDs can provide fast performance but they are expensive HDDs can provide cheap storage but they are relatively slow Combining some flash memory with a HDD can provide costs close to those of HDDs and performance close to flash memory Seagate Momentus XT hybrid HDD Various dual storage offerings putting flash memory with HDDs Other common flash memory devices USB sticks All forms and colors Used for moving files around Some sold with content on them (Sony Movies on USB sticks) Solid State Drives (SSDs) Floating Gate Flash Memory Cell When a bit is programmed, electrons are stored upon the floating gate This has the effect of offsetting the charge on the control gate of the transistor If there is no charge upon the floating gate, then the control gate’s charge determines whether or not a current flows through the channel A strong charge on the control gate assumes that no current flows. A weak charge will allow a strong current to flow through. Similar to HDDs, flash memory must provide: Bit error correction Bad block management NAND and NOR memories are treated differently when it comes to managing wear In many NOR-based systems no management is used at all, since the NOR is simply used to store code, and data is stored in other devices. In this case, it would take a near-infinite amount of time for wear to become an issue since the only time the chip would see an erase/write cycle is when the code in the system is being upgraded, which rarely if ever happens over the life of a typical system. NAND is usually found in very different application than is NOR Flash memory wears out This is expected to get worse over time Retention: Disappearing data Bits fade away Retention decreases with increasing read/writes Bits may change when adjacent bits are read Time and traffic are concerns Controllers typically groom read disturb errors Like DRAM refresh Increases erase/write frequency Application characteristics Music – reads high / writes very low Video – r high / writes very low Internet Cache – r high / writes low On airplanes Many consumers now have their own content viewing devices – do they need the airlines? Is there a way to offer more to consumers, especially with their own viewers Additional special content tie into airplane network access to electrical power, internet Should there be fixed embedded or removable storage for on-board airline entertainment? Is there a way to leverage personal and airline viewers and content in new and entertaining ways?

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  • Google I/O 2012 - Powering Your Application's Data using Google Cloud Storage

    Google I/O 2012 - Powering Your Application's Data using Google Cloud Storage Navneet Joneja, Nathan Herring Since opening its doors to all developers at Google I/O last year, the Google Cloud Storage team has shipped several features that let you use Google Cloud Storage for a variety of advanced use cases. This session will open with a quick introduction to the product, and quickly shift focus to implementing a variety of advanced applications using new features in Google Cloud Storage. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 48 1 ratings Time: 58:32 More in Science & Technology

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  • GDD-BR 2010 [2F] Storage, Bigquery and Prediction APIs

    GDD-BR 2010 [2F] Storage, Bigquery and Prediction APIs Speaker: Patrick Chanezon Track: Cloud Computing Time slot: F [15:30 - 16:15] Room: 2 Level: 101 Google is expanding our storage products by introducing Google Storage for Developers. It offers a RESTful API for storing and accessing data at Google. Developers can take advantage of the performance and reliability of Google's storage infrastructure, as well as the advanced security and sharing capabilities. We will demonstrate key functionality of the product as well as customer use cases. Google relies heavily on data analysis and has developed many tools to understand large datasets. Two of these tools are now available on a limited sign-up basis to developers: (1) BigQuery: interactive analysis of very large data sets and (2) Prediction API: make informed predictions from your data. We will demonstrate their use and give instructions on how to get access. From: GoogleDevelopers Views: 1 0 ratings Time: 39:27 More in Science & Technology

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  • How to fix Failed to initialize Windows Azure storage emulator error

    - by ybbest
    When you press F5 to start debugging Azure project, you might get the following exception: If you go to the Output windows, you will see the detailed error message below: Windows Azure Tools: Failed to initialize Windows Azure storage emulator. Unable to start Development Storage. Failed to start Development Storage: the SQL Server instance ‘localhost\SQLExpress’ could not be found. Please configure the SQL Server instance for Development Storage using the ‘DSInit’ utility in the Windows Azure SDK. This is because by default, Azure uses the SQLExpress to start Development Storage. To fix this you can do the following: You need to open command prompt, and navigate to C:\Program Files\Windows Azure SDK\v1.4\bin\devstore (depending on your Azure version, the file path is slightly different.) Next, run DSInit /sqlInstance:. (. Means the SQL Server use the default instance, if you have name instance, you need to change. to the name of the SQL Server) After a short while, you should see the following windows showing the configuration succeeds. You can download a batch file here. References: http://msdn.microsoft.com/en-us/library/gg433132.aspx

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  • Even More Storage Options in VDI 3.4.1

    - by mprove
    Oracle Virtual Desktop Infrastructure 3.4.1 has been released to complete the storage matrix below. Storage Type VirtualBox on Solaris VirtualBox on Enterprise Linux Sun ZFS yes yes Sun ZFS (pool on Solaris) yes yes iSCSI - new in VDI 3.4 Network File System new in VDI 3.4.1 new in VDI 3.4 Local Storage new in VDI 3.4.1 new in VDI 3.4

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  • MySQL Exotic Storage Engines

    MySQL has an interesting architecture that allows you to plug in different modules to handle storage. What that means is that it's quite flexible, offering an interesting array of different storage engines with different features, strengths, and tradeoffs. Sean Hull presents some of the newest and more exotic storage engines, and even some that are still in development.

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  • MySQL Exotic Storage Engines

    MySQL has an interesting architecture that allows you to plug in different modules to handle storage. What that means is that it's quite flexible, offering an interesting array of different storage engines with different features, strengths, and tradeoffs. Sean Hull presents some of the newest and more exotic storage engines, and even some that are still in development.

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  • Save the Date for the Oracle Storage Community Forum at Oracle OpenWorld

    - by Ritu Chhibber-Oracle
    Dear Partners, Come and meet Oracle's Top Storage Executives, Architects and Fellow Customers & Partners at the Oracle Storage Community Forum at Oracle OpenWorld on October 1, 2014. This special event will feature interactive sessions on Oracle's Application Engineered Storage strategy, product directions, and real-world customer implementations. Discover the possibilities, as only Oracle can co-engineer hardware with Oracle Database and applications to deliver extreme performance, dynamic automation, management efficiency and cost savings. Storage Forum at Oracle OpenWorld Wednesday, October 1, 20143:30 p.m. - 5:00 p.m. Forum5:00 p.m. - 6:00 p.m. Reception Venue:Metreon – City View135 Fourth Street, Suite 4000,San Francisco, CA 94103 For more details and to register, please click here.

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  • Oracle's ZFS Storage Appliance Simulator

    - by Steen Schmidt
    To those of you who has not played with the Oracle's ZFS Storage Appliance, but would like to. You should go an take a look at the Oracle's ZFS Storage Appliance Simulator. You can download this Oracle's ZFS Storage Appliance Simulator here, It will give you a pretty good idear what this unik product is capable of provide for you business.  You can also go and see a demo on how to set the appliance up in Oracle VirtualBox Demo Here. You find Oracle Virtualbox here

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  • Azure Table Storage Creation using Nov 2009 CTP

    - by kaleidoscope
    The new SDK introduces a new class - · The CloudTableClient : This new class enables us to create tables and test for the existence of tables. We need not need use this class for querying table storage, it's   more of an administrative class for dealing with table storage itself.   · Once we have got the account key and the account name from ConfigurationSetting, we can create an instance of the storage credentials and table client classes:   StorageCredentialsAccountAndKey creds = new StorageCredentialsAccountAndKey(accountName, accountKey);     CloudTableClient tableStorage = new CloudTableClient(tableBaseUri, creds);     CustomerContext ctx = new CustomerContext(tableBaseUri, creds);     //where tableBaseUri is the TableStorageEndpoint obtained from ConfigurationSetting Using the table storage class, we can now create a new table (if it doesn't already exist):     if (tableStorage.CreateTableIfNotExist("Customers"))     {        CustomerRow cust = new CustomerRow("AccountsReceivable", "kevin");         cust.FirstName = "Kevin";        cust.LastName = "Hoffman";        ctx.AddObject("Customers", cust);        ctx.SaveChanges();     } For a complete article on this topic please follow this link: http://dotnetaddict.dotnetdevelopersjournal.com/azure_nov09_tablestorage.htm Tinu, O

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  • High Performance Storage Systems for SQL Server

    Rod Colledge turns his pessimistic mindset to storage systems, and describes the best way to configure the storage systems of SQL Servers for both performance and reliability. Even Rod gets a glint in his eye when he then goes on to describe the dazzling speed of solid-state storage, though he is quick to identify the risks....Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • GLP for Pillar Axiom 600 Storage System Implementation Specialist

    - by uwes
    Now availabe at OPN Competency Center. The guided learning path provides you with an overview of the Pillar Axiom 600 storage system, and the technical details that you need to become a Pillar Axiom 600 Storage System Certified Implementation Specialist.  Learn more, go to: Pillar Axiom 600 Storage System Implementation Specialist.

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