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• 10 tape technology features that make you go hmm.

  - by Karoly Vegh

  A week ago an Oracle/StorageTek Tape Specialist, Christian Vanden Balck, visited Vienna, and agreed to visit customers to do techtalks and update them about the technology boom going around tape. I had the privilege to attend some of his sessions and noted the information and features that took the customers by surprise and made them think. Allow me to share the top 10: I. StorageTek as a brand: StorageTek is one of he strongest names in the Tape field. The brand itself was valued so much by customers that even after Sun Microsystems acquiring StorageTek and the Oracle acquiring Sun the brand lives on with all the Oracle tapelibraries are officially branded StorageTek.See http://www.oracle.com/us/products/servers-storage/storage/tape-storage/overview/index.html II. Disk information density limitations: Disk technology struggles with information density. You haven't seen the disk sizes exploding lately, have you? That's partly because there are physical limits on a disk platter. The size is given, the number of platters is limited, they just can't grow, and are running out of physical area to write to. Now, in a T10000C tape cartridge we have over 1000m long tape. There you go, you have got your physical space and don't need to stuff all that data crammed together. You can write in a reliable pattern, and have space to grow too. III. Oracle has a market share of 62% worldwide in recording head manufacturing. That's right. If you are running LTO drives, with a good chance you rely on StorageTek production. That's two out of three LTO recording heads produced worldwide.  IV. You can store 1 Exabyte data in a single tape library. Yes, an Exabyte. That is 1000 Petabytes. Or, a million Terabytes. A thousand million GigaBytes. You can store that in a stacked StorageTek SL8500 tapelibrary. In one SL8500 you can put 10.000 T10000C cartridges, that store 10TB data (compressed). You can stack 10 of these SL8500s together. Boom. 1000.000 TB.(n.b.: stacking means interconnecting the libraries. Yes, cartridges are moved between the stacked libraries automatically.)  V. EMC: 'Tape doesn't suck after all. We moved on.': Do you remember the infamous 'Tape sucks, move on' Datadomain slogan? Of course they had to put it that way, having only had disk products. But here's a fun fact: on the EMCWorld 2012 there was a major presence of a Tape-tech company - EMC, in a sudden burst of sanity is embracing tape again. VI. The miraculous T10000C: Oracle StorageTek has developed an enterprise-grade tapedrive and cartridge, the T10000C. With awesome numbers: The Cartridge: Native 5TB capacity, 10TB with compression Over a kilometer long tape within the cartridge. And it's locked when unmounted, no rattling of your data.  Replaced the metalparticles datalayer with BaFe (bariumferrite) - metalparticles lose around 7% of magnetism within 30 days. BaFe does not. Yes we employ solid-state physicists doing R&D on demagnetisation in our labs. Can be partitioned, storage tiering within the cartridge!  The Drive: 2GB Cache Encryption implemented in HW - no performance hit 252 MB/s native sustained data rate, beats disk technology by far. Not to mention peak throughput.  Leading the tape while never touching the data side of it, protecting your data physically too Data integritiy checking (CRC recalculation) on tape within the drive without having to read it back to the server reordering data from tape-order, delivering it back in application-order  writing 32 tracks at once, reading them back for CRC check at once VII. You only use 20% of your data on a regular basis. The rest 80% is just lying around for years. On continuously spinning disks. Doubly consuming energy (power+cooling), blocking diskstorage capacity. There is a solution called SAM (Storage Archive Manager) that provides you a filesystem unifying disk and tape, moving data on-demand and for clients transparently between the different storage tiers. You can share these filesystems with NFS or CIFS for clients, and enjoy the low TCO of tape. Tapes don't spin. They sit quietly in their slots, storing 10TB data, using no energy, producing no heat, automounted when a client accesses their data.See: http://www.oracle.com/us/products/servers-storage/storage/storage-software/storage-archive-manager/overview/index.html VIII. HW supported for three decades: Did you know that the original PowderHorn library was released in '87 and has been only discontinued in 2010? That is over two decades of supported operation. Tape libraries are - just like the data carrying on tapecartridges - built for longevity. Oh, and the T10000C cartridge has 30-year archival life for long-term retention.  IX. Tape is easy to manage: Have you heard of Tape Storage Analytics? It is a central graphical tool to summarize, monitor, analyze dataflow, health and performance of drives and libraries, see: http://www.oracle.com/us/products/servers-storage/storage/tape-storage/tape-analytics/overview/index.html X. The next generation: The T10000B drives were able to reuse the T10000A cartridges and write on them even more data. On the same cartridges. We call this investment protection, and this is very important for Oracle for the future too. We usually support two generations of cartridges together. The current drive is a T10000C. (...I know I promised to enlist 10, but I got still two more I really want to mention. Allow me to work around the problem: ) X++. The TallBots, the robots moving around the cartridges in the StorageTek library from tapeslots to the drives are cableless. Cables, belts, chains running to moving parts in a library cause maintenance downtimes. So StorageTek eliminated them. The TallBots get power, commands, even firmwareupgrades through the rails they are running on. Also, the TallBots don't just hook'n'pull the tapes out of their slots, they actually grip'n'lift them out. No friction, no scratches, no zillion little plastic particles floating around in the library, in the drives, on your data. (X++)++: Tape beats SSDs and Disks. In terms of throughput (252 MB/s), in terms of TCO: disks cause around 290x more power and cooling, in terms of capacity: 10TB on a single media and soon more.  So... do you need to store large amounts of data? Are you legally bound to archive it for dozens of years? Would you benefit from automatic storage tiering? Have you got large mediachunks to be streamed at times? Have you got power and cooling issues in the growing datacenters? Do you find EMC's 180° turn of tape attitude interesting, but appreciate it at the same time? With all that, you aren't alone. The most data on this planet is stored on tape. Tape is coming. Big time.

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• I see no LOBs!

  - by Paul White

  Is it possible to see LOB (large object) logical reads from STATISTICS IO output on a table with no LOB columns? I was asked this question today by someone who had spent a good fraction of their afternoon trying to work out why this was occurring – even going so far as to re-run DBCC CHECKDB to see if any corruption had taken place.  The table in question wasn’t particularly pretty – it had grown somewhat organically over time, with new columns being added every so often as the need arose.  Nevertheless, it remained a simple structure with no LOB columns – no TEXT or IMAGE, no XML, no MAX types – nothing aside from ordinary INT, MONEY, VARCHAR, and DATETIME types.  To add to the air of mystery, not every query that ran against the table would report LOB logical reads – just sometimes – but when it did, the query often took much longer to execute. Ok, enough of the pre-amble.  I can’t reproduce the exact structure here, but the following script creates a table that will serve to demonstrate the effect: IF OBJECT_ID(N'dbo.Test', N'U') IS NOT NULL DROP TABLE dbo.Test GO CREATE TABLE dbo.Test ( row_id NUMERIC IDENTITY NOT NULL,   col01 NVARCHAR(450) NOT NULL, col02 NVARCHAR(450) NOT NULL, col03 NVARCHAR(450) NOT NULL, col04 NVARCHAR(450) NOT NULL, col05 NVARCHAR(450) NOT NULL, col06 NVARCHAR(450) NOT NULL, col07 NVARCHAR(450) NOT NULL, col08 NVARCHAR(450) NOT NULL, col09 NVARCHAR(450) NOT NULL, col10 NVARCHAR(450) NOT NULL, CONSTRAINT [PK dbo.Test row_id] PRIMARY KEY CLUSTERED (row_id) ) ; The next script loads the ten variable-length character columns with one-character strings in the first row, two-character strings in the second row, and so on down to the 450th row: WITH Numbers AS ( -- Generates numbers 1 - 450 inclusive SELECT TOP (450) n = ROW_NUMBER() OVER (ORDER BY (SELECT 0)) FROM master.sys.columns C1, master.sys.columns C2, master.sys.columns C3 ORDER BY n ASC ) INSERT dbo.Test WITH (TABLOCKX) SELECT REPLICATE(N'A', N.n), REPLICATE(N'B', N.n), REPLICATE(N'C', N.n), REPLICATE(N'D', N.n), REPLICATE(N'E', N.n), REPLICATE(N'F', N.n), REPLICATE(N'G', N.n), REPLICATE(N'H', N.n), REPLICATE(N'I', N.n), REPLICATE(N'J', N.n) FROM Numbers AS N ORDER BY N.n ASC ; Once those two scripts have run, the table contains 450 rows and 10 columns of data like this: Most of the time, when we query data from this table, we don’t see any LOB logical reads, for example: -- Find the maximum length of the data in -- column 5 for a range of rows SELECT result = MAX(DATALENGTH(T.col05)) FROM dbo.Test AS T WHERE row_id BETWEEN 50 AND 100 ; But with a different query… -- Read all the data in column 1 SELECT result = MAX(DATALENGTH(T.col01)) FROM dbo.Test AS T ; …suddenly we have 49 LOB logical reads, as well as the ‘normal’ logical reads we would expect. The Explanation If we had tried to create this table in SQL Server 2000, we would have received a warning message to say that future INSERT or UPDATE operations on the table might fail if the resulting row exceeded the in-row storage limit of 8060 bytes.  If we needed to store more data than would fit in an 8060 byte row (including internal overhead) we had to use a LOB column – TEXT, NTEXT, or IMAGE.  These special data types store the large data values in a separate structure, with just a small pointer left in the original row. Row Overflow SQL Server 2005 introduced a feature called row overflow, which allows one or more variable-length columns in a row to move to off-row storage if the data in a particular row would otherwise exceed 8060 bytes.  You no longer receive a warning when creating (or altering) a table that might need more than 8060 bytes of in-row storage; if SQL Server finds that it can no longer fit a variable-length column in a particular row, it will silently move one or more of these columns off the row into a separate allocation unit. Only variable-length columns can be moved in this way (for example the (N)VARCHAR, VARBINARY, and SQL_VARIANT types).  Fixed-length columns (like INTEGER and DATETIME for example) never move into ‘row overflow’ storage.  The decision to move a column off-row is done on a row-by-row basis – so data in a particular column might be stored in-row for some table records, and off-row for others. In general, if SQL Server finds that it needs to move a column into row-overflow storage, it moves the largest variable-length column record for that row.  Note that in the case of an UPDATE statement that results in the 8060 byte limit being exceeded, it might not be the column that grew that is moved! Sneaky LOBs Anyway, that’s all very interesting but I don’t want to get too carried away with the intricacies of row-overflow storage internals.  The point is that it is now possible to define a table with non-LOB columns that will silently exceed the old row-size limit and result in ordinary variable-length columns being moved to off-row storage.  Adding new columns to a table, expanding an existing column definition, or simply storing more data in a column than you used to – all these things can result in one or more variable-length columns being moved off the row. Note that row-overflow storage is logically quite different from old-style LOB and new-style MAX data type storage – individual variable-length columns are still limited to 8000 bytes each – you can just have more of them now.  Having said that, the physical mechanisms involved are very similar to full LOB storage – a column moved to row-overflow leaves a 24-byte pointer record in the row, and the ‘separate storage’ I have been talking about is structured very similarly to both old-style LOBs and new-style MAX types.  The disadvantages are also the same: when SQL Server needs a row-overflow column value it needs to follow the in-row pointer a navigate another chain of pages, just like retrieving a traditional LOB. And Finally… In the example script presented above, the rows with row_id values from 402 to 450 inclusive all exceed the total in-row storage limit of 8060 bytes.  A SELECT that references a column in one of those rows that has moved to off-row storage will incur one or more lob logical reads as the storage engine locates the data.  The results on your system might vary slightly depending on your settings, of course; but in my tests only column 1 in rows 402-450 moved off-row.  You might like to play around with the script – updating columns, changing data type lengths, and so on – to see the effect on lob logical reads and which columns get moved when.  You might even see row-overflow columns moving back in-row if they are updated to be smaller (hint: reduce the size of a column entry by at least 1000 bytes if you hope to see this). Be aware that SQL Server will not warn you when it moves ‘ordinary’ variable-length columns into overflow storage, and it can have dramatic effects on performance.  It makes more sense than ever to choose column data types sensibly.  If you make every column a VARCHAR(8000) or NVARCHAR(4000), and someone stores data that results in a row needing more than 8060 bytes, SQL Server might turn some of your column data into pseudo-LOBs – all without saying a word. Finally, some people make a distinction between ordinary LOBs (those that can hold up to 2GB of data) and the LOB-like structures created by row-overflow (where columns are still limited to 8000 bytes) by referring to row-overflow LOBs as SLOBs.  I find that quite appealing, but the ‘S’ stands for ‘small’, which makes expanding the whole acronym a little daft-sounding…small large objects anyone? © Paul White 2011 email: [email protected] twitter: @SQL_Kiwi

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• Windows Azure Platform eBook Update #2 &ndash; 100 pages of goodness

  - by Eric Nelson

  I previously mentioned I was working on a community authored eBook for the Windows Azure Platform. Well, today I assembled the 20 articles that made it through to the end of the review process into a single eBook – and it looks (and reads) great. Still a lot more to do (and stuff in the way of me doing it) but as a teaser, here is the (very draft) table of contents:

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• Node.js : enfin une intégration native sous Windows, le framework événementiel en JavaScript arrive sur le Cloud d'Azure

  Node.js : enfin une intégration native et complète sous Windows Le framework événementiel en JavaScript arrive sur le Cloud d'Azure Mise à jour du 9 novembre 2011 par Idelways Microsoft a manifesté en juin dernier son soutien au projet Node.js, le framework JavaScript événementiel et open source (lire ci-devant). La collaboration de l'entreprise avec Joycent, qui parraine son équipe de développeurs, vient d'aboutir à la version 0.6.0 de Node, qui bénéficie d'un support natif et complet sur la plateforme Windows. Cette troisième édition stable de Node.js exploite l'API Windows « I/O Completion Ports », pour ...

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• AWS EC2 Oracle RDB - Storing and managing my data

  - by llaszews

  When create an Oracle Database on the Amazon cloud you will need to store you database files somewhere on the EC2 cloud. There are basically three places where database files can be stored: 1. Local drive - This is the local drive that is part of the virtual server EC2 instance. 2. Elastic Block Storage (EBS) - Network attached storage that appears as a local drive. 3. Simple Storage Server (S3) - 'Storage for the Internet'. S3 is not high speed and intended for store static document type files. S3 can also be used for storing static web page files. Local drives are ephemeral so not appropriate to be used as a database storage device. The leaves EBS which is the best place to store database files. EBS volumes appear as local disk drives. They are actually network-attached to an Amazon EC2 instance. In addition, EBS persists independently from the running life of a single Amazon EC2 instance. If you use an EBS backed instance for your database data, it will remain available after reboot but not after terminate. In many cases you would not need to terminate your instance but only stop it, which is equivalent of shutdown. In order to save your database data before you terminate an instance, you can snapshot the EBS to S3. Using EBS as a data store you can move your Oracle data files from one instance to another. This allows you to move your database from one region or or zone to another. Unfortunately, to scale out your Oracle RDS on AWS you can not have read only replicas. This is only possible with the other Oracle relational database - MySQL. The free micro instances use EBS as its storage. This is a very good white paper that has more details: AWS Storage Options This white paper also discusses: SQS, SimpleDB, and Amazon RDS in the context of storage devices. However, these are not storage devices you would use to store an Oracle database. This slide deck discusses a lot of information that is in the white paper: AWS Storage Options slideshow

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• How to View Current status on the health of the Windows Azure platform?

  - by kaleidoscope

  Current status on the health of the Windows Azure platform can be found from the below mentioned URL. If one wishes to receive notifications for interruptions to any of the services, one can subscribe to the respective RSS feeds. To view a detailed incident report for a service that is not running normally, mouse over the status icon or the status description for that service. More details can be found at http://www.microsoft.com/windowsazure/support/status/servicedashboard.aspx   Rituraj, J

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• Silverlight 4 - MVC 2 ASP.NET Membership integration "single sign on"

  - by Scrappydog

  Scenario: I have an ASP.NET MVC 2 site using ASP.NET Forms Authentication. The site includes a Silverlight 4 application that needs to securely call internal web services. The web services also need to be publically exposed for third party authenticated access. Challenges: Securely accessing webservices from Silverlight using the current users identity without requiring the user to re-login in in the Silverlight application. Providing a secure way for third party applications to access the same webservices the same users credentials, ideally with out using ASP.NET Forms Authentication. Additional details and limitations: This application is hosted in Azure. We would rather NOT use RIA Services if at all possible. Solutions Under Consideration: I think that if the webservices are part of the same MVC site that hosts the Silverlight application then forms authentication should probably "just work" from Silverlight based on the users forms auth cookies. But this seems to rule out the possibility of hosting the webservices seperately (which is desirable in our scenario). For third-party access to the web services I'm guessing that seperate endpoints with a different authenication solution is probably the right answer, but I would rather only support one version of the services if possible... Questions: Can anybody point me towards any sample applications that implements something like this? How would you recommend implementing this solution?

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• Redirect website from http to https

  - by MaG3Stican

  I have a website stored on azure for which I got an SSL certificate. I am trying to redirect www.mywebsite.com to https://www.mywebsite.com but with no success. I am using the following code that should change the configuration of IIS where my project is deployed : <system.webServer> <rewrite> <rules> <rule name="Redirect to HTTPS"> <match url="(.*)" /> <conditions> <add input="{HTTPS}" pattern="off" ignoreCase="true" /> <add input="{URL}" pattern="/$" negate="true" /> <add input="{REQUEST_FILENAME}" matchType="IsFile" negate="true" /> </conditions> <action type="Redirect" url="https://{SERVER_NAME}/{R:1}" redirectType="SeeOther" /> </rule> </rules> </rewrite> But when I type my URL it does not redirect to https. By the way, rewrite appears unrecorgnized by Intellisense.

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• Service Bus / Request Forwarding

  - by codputer

  I'm doing some development with a thrid party that issues either a Get or POST to a public URL that I specify. What I would like to do is set up a Relay service on the Azure Service Bus that my dev machine can listen to. When the request comes in, I want to forward that request as if my web service was taking the request directly from the thrid party service. When I'm ready, I'll deploy the application to a public service, change the URL that the thrid party service is sending too, and viola I should be up and running. What I'm looking for looks exactly like this: Clemens the Master of Service Bus but it's from the 2009 CTP. I'm working at it, but haven't yet got it working using all the new bits in 2012 (a.ka. its over my head at the moment). Somebody want to help? Clemens also help somebody else create a Reverse Proxy using the Service Bus, but I can't seem to find it. Yes I've also tweeted Clemens, but I'm sure he is a busy man! p.s. I know about Application Request Routing, but my dev machine is not on a public URL, I need to rewrite the URL after my client listener on the service bus recieves the message that was relayed from the Server side endpoint.

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• Can I architect a web app so it can be deployed to either the cloud or a dedicated server / VPS ? Ho

  - by CAD bloke

  Is there are an architecture versatile enough that it may be deployed to either a cloud server or to a dedicated (or VPS) server with minimal change? Obviously there would be config changes but I'd rather leave the rest of the app consistent, keeping one maintainable codebase. The app would be ASP.NET &/or ASP.MVC. My dev environment is VS 2010. The cloud may, or may not be, Azure. Dedicated or VPS would be Win Server 2008. Probably. It is not a public-facing web site. The web app I have in mind would be a separate deployment for each client. Some clients would be small-scale, some will prefer the app to run on a local intranet rather than on the web. Other clients may prefer the cloud approach for a black-box solution. The app may run for a few hours or it may run indefinitely, it depends on the client and the project. Other than deployment scenarios the apps would be more or less identical. As you may see from the tags, I'm assuming a message-based architecture is probably the most versatile but I'm also used to being wrong about this stuff. All suggestions and pointers welcome regarding general architectures and also specific solutions.

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• Using Lucene to index private data, should I have a separate index for each user or a single index

  - by Nathan Bayles

  I am developing an Azure based website and I want to provide search capabilities using Lucene. (structured json objects would be indexed and stored in Lucene and other content such as Word documents, etc. would be indexed in lucene but stored in blob storage) I want the search to be secure, such that one user would never see a document belonging to another user. I want to allow ad-hoc searches as typed by the user. Lastly, I want to query programmatically to return predefined sets of data, such as "all notes for user X". I think I understand how to add properties to each document to achieve these 3 objectives. (I am listing them here so if anyone is kind enough to answer, they will have better idea of what I am trying to do) My questions revolve around performance and security. Can I improve document security by having a separate index for each user, or is including the user's ID as a parameter in each search sufficient? Can I improve indexing speed and total throughput of the system by having a separate index for each user? My thinking is that having separate indexes would allow me to scale the system by having multiple index writers (perhaps even on different server instances) working at the same time, each on their own index. Any insight would be greatly appreciated. Regards, Nate

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• How can I build something like Amazon S3 in Perl?

  - by Joel G

  I am looking to code a file storage application in perl similar to amazon s3. I already have a amazon s3 clone that I found online called parkplace but its in ruby and is old also isn't built for high loads. I am not really sure what modules and programs I should use so id like some help picking them out. My requirements are listed below (yes I know there are lots but I could start simple then add more once I get it going): Easy API implementation for client side apps. (maybe REST (?) Centralized database server for the USERDB (maybe PostgreSQL (?). Logging of all connections, bandwidth used, well pretty much everything to a centralized server (maybe PostgreSQL again (?). Easy server side configuration (config file(s) stored on the servers). Web based control panel for admin(s) and user(s) to show logs. (could work just running queries from the databases) Fast High Uptime Low memory usage Some sort of load distribution/load balancer (maybe a dns based or pound or perlbal or something else (?). Maybe a cache of some sort (memcached or parlbal or something else (?). Thanks in advance

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• Is it possible to read data that has been separately copied to the Android sd card without having ro

  - by icecream

  I am developing an application that needs to access data on the sd card. When I run on my development device (an odroid with Android 2.1) I have root access and can construct the path using: File sdcard = Environment.getExternalStorageDirectory(); String path = sdcard.getAbsolutePath() + File.separator + "mydata" File data = new File(path); File[] files = data.listFiles(new FilenameFilter() { @Override public boolean accept(File dir, String filename) { return filename.toLowerCase().endsWith(".xyz"); }}); However, when I install this on a phone (2.1) where I do not have root access I get files == null. I assume this is because I do not have the right permissions to read the data from the sd card. I also get files == null when just trying to list files on /sdcard. So the same applies without my constructed path. Also, this app is not intended to be distributed through the app store and is needs to use data copied separately to the sd card so this is a real use-case. It is too much data to put in res/raw (I have tried, it did not work). I have also tried adding: <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" /> to the manifest, even though I only want to read the sd card, but it did not help. I have not found a permission type for reading the storage. There is probably a correct way to do this, but I haven't been able to find it. Any hints would be useful.

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• Architecture for data layer that uses both localStorage and a REST remote server

  - by Zack

  Anybody has any ideas or references on how to implement a data persistence layer that uses both a localStorage and a REST remote storage: The data of a certain client is stored with localStorage (using an ember-data indexedDB adapter). The locally stored data is synced with the remote server (using ember-data RESTadapter). The server gathers all data from clients. Using mathematical sets notation: Server = Client1 ? Client2 ? ... ? ClientN where, in general, a record may not be unique to a certain client. Here are some scenarios: A client creates a record. The id of the record can not set on the client, since it may conflict with a record stored on the server. Therefore a newly created record needs to be committed to the server - receive the id - create the record in localStorage. A record is updated on the server, and as a consequence the data in localStorage and in the server go out of sync. Only the server knows that, so the architecture needs to implement a push architecture (?) Would you use 2 stores (one for localStorage, one for REST) and sync between them, or use a hybrid indexedDB/REST adapter and write the sync code within the adapter? Can you see any way to avoid implementing push (Web Sockets, ...)?

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• How do I use HTML5's localStorage in a Google Chrome extension?

  - by davidkennedy85

  I am trying to develop an extension that will work with Awesome New Tab Page. I've followed the author's advice to the letter, but it doesn't seem like any of the script I add to my background page is being executed at all. Here's my background page: <script> var info = { poke: 1, width: 1, height: 1, path: "widget.html" } chrome.extension.onRequestExternal.addListener(function(request, sender, sendResponse) { if (request === "mgmiemnjjchgkmgbeljfocdjjnpjnmcg-poke") { chrome.extension.sendRequest( sender.id, { head: "mgmiemnjjchgkmgbeljfocdjjnpjnmcg-pokeback", body: info, } ); } }); function initSelectedTab() { localStorage.setItem("selectedTab", "Something"); } initSelectedTab(); </script> Here is manifest.json: { "update_url": "http://clients2.google.com/service/update2/crx", "background_page": "background.html", "name": "Test Widget", "description": "Test widget for mgmiemnjjchgkmgbeljfocdjjnpjnmcg.", "icons": { "128": "icon.png" }, "version": "0.0.1" } Here is the relevant part of widget.html: <script> var selectedTab = localStorage.getItem("selectedTab"); document.write(selectedTab); </script> Every time, the browser just displays null. The local storage isn't being set at all, which makes me think the background page is completely disconnected. Do I have something wired up incorrectly?

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• How to use dd to make splitted ISO images from an storage device?

  - by Gustavo Bandeira

  This is a double question, I just hope it's valid. I need to know how to use dd to make splitted ISO images from some storage device, I'm doing it through SSH: the process is slow and the risk of faling at the mid of the operation (1) is high then I need to know how to make these splitted ISO images from my storage device. (2) I'm searching for some reference on dd, it could be a book or a good website about it for when any doubt arises. 1 - I'm doing it on a ~60GB storage device, it took me a whole day to copy ~10GB from this disk. 2 - For curious people, I'm trying to recover an accidentaly deleted file from an iPod, until now I've been able to make the whole process, I just need to improve it beucase I left it copying the disk yesterday: Today it gave me an error when it was at ~10GB.

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• make a folder/partition on one computer appear as a mass storage device to another?

  - by user137560

  Is there anyway to make a folder or a partition on a computer (Linux or Windows) act like a mass storage device to other computers or devices when connected with a Male-Male USB cable? For example, I have a Windows 7 computer with 2 partitions, C and D. I would then connect that computer to another computer or a Smart TV using a Male-Male USB cable, and the other computer or device recognizes a folder/partition on current computer as a mass storage device. Is this possible? If not, is there any USB switch that can connect an external hard drive or flash drive to both a computer and TV without the need to manually switch them? (I know about some USB switches, but they only support automatic switching with some certain types of printers, not with mass storage)

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• Guest (and occasional co-host) on Jesse Liberty's Yet Another Podcast

  - by Jon Galloway

  I was a recent guest on Jesse Liberty's Yet Another Podcast talking about the latest Visual Studio, ASP.NET and Azure releases. Download / Listen: Yet Another Podcast #75–Jon Galloway on ASP.NET/ MVC/ Azure Co-hosted shows: Jesse's been inviting me to co-host shows and I told him I'd show up when I was available. It's a nice change to be a drive-by co-host on a show (compared with the work that goes into organizing / editing / typing show notes for Herding Code shows). My main focus is on Herding Code, but it's nice to pop in and talk to Jesse's excellent guests when it works out. Some shows I've co-hosted over the past year: Yet Another Podcast #76–Glenn Block on Node.js & Technology in China Yet Another Podcast  #73 - Adam Kinney on developing for Windows 8 with HTML5 Yet Another Podcast #64 - John Papa & Javascript Yet Another Podcast #60 - Steve Sanderson and John Papa on Knockout.js Yet Another Podcast #54–Damian Edwards on ASP.NET Yet Another Podcast #53–Scott Hanselman on Blogging Yet Another Podcast #52–Peter Torr on Windows Phone Multitasking Yet Another Podcast #51–Shawn Wildermuth: //build, Xaml Programming & Beyond And some more on the way that haven't been released yet. Some of these I'm pretty quiet, on others I get wacky and hassle the guests because, hey, not my podcast so not my problem. Show notes from the ASP.NET / MVC / Azure show: What was just released Visual Studio 2012 Web Developer features ASP.NET 4.5 Web Forms Strongly Typed data controls Data access via command methods Similar Binding syntax to ASP.NET MVC Some context: Damian Edwards and WebFormsMVP Two questions from Jesse: Q: Are you making this harder or more complicated for Web Forms developers? Short answer: Nothing's removed, it's just a new option History of SqlDataSource, ObjectDataSource Q: If I'm using some MVC patterns, why not just move to MVC? Short answer: This works really well in hybrid applications, doesn't require a rewrite Allows sharing models, validation, other code between Web Forms and MVC ASP.NET MVC Adaptive Rendering (oh, also, this is in Web Forms 4.5 as well) Display Modes Mobile project template using jQuery Mobile OAuth login to allow Twitter, Google, Facebook, etc. login Jon (and friends') MVC 4 book on the way: Professional ASP.NET MVC 4 Windows 8 development Jesse and Jon announce they're working on a new book: Pro Windows 8 Development with XAML and C# Jon and Jesse agree that it's nice to be able to write Windows 8 applications using the same skills they picked up for Silverlight, WPF, and Windows Phone development. Compare / contrast ASP.NET MVC and Windows 8 development Q: Does ASP.NET and HTML5 development overlap? Jon thinks they overlap in the MVC world because you're writing HTML views without controls Jon describes how his web development career moved from a preoccupation with server code to a focus on user interaction, which occurs in the browser Jon mentions his NDC Oslo presentation on Learning To Love HTML as Beautiful Code Q: How do you apply C# / XAML or HTML5 skills to Windows 8 development? Q: If I'm a XAML programmer, what's the learning curve on getting up to speed on ASP.NET MVC? Jon describes the difference in application lifecycle and state management Jon says it's nice that web development is really interactive compared to application development Q: Can you learn MVC by reading a book? Or is it a lot bigger than that? What is Azure, and why would I use it? Jon describes the traditional Azure platform mode and how Azure Web Sites fits in Q: Why wouldn't Jesse host his blog on Azure Web Sites? Domain names on Azure Web Sites File hosting options Q: Is Azure just another host? How is it different from any of the other shared hosting options? A: Azure gives you the ability to scale up or down whenever you want A: Other services are available if or when you want them

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• OpenSolaris Lives! Nexenta Leverages OpenSolaris and ZFS for Enterprise Storage

  <b>Enterprise Storage Forum: </b>"While Sun Microsystems may have struggled with making money from its OpenSolaris operating system prior to Sun's acquisition by Oracle, that doesn't mean that others haven't had better success."

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• Objective-C memory management issue

  - by Toby Wilson

  I've created a graphing application that calls a web service. The user can zoom & move around the graph, and the program occasionally makes a decision to call the web service for more data accordingly. This is achieved by the following process: The graph has a render loop which constantly renders the graph, and some decision logic which adds web service call information to a stack. A seperate thread takes the most recent web service call information from the stack, and uses it to make the web service call. The other objects on the stack get binned. The idea of this is to reduce the number of web service calls to only those appropriate, and only one at a time. Right, with the long story out of the way (for which I apologise), here is my memory management problem: The graph has persistant (and suitably locked) NSDate* objects for the currently displayed start & end times of the graph. These are passed into the initialisers for my web service request objects. The web service call objects then retain the dates. After the web service calls have been made (or binned if they were out of date), they release the NSDate*. The graph itself releases and reallocates new NSDates* on the 'touches ended' event. If there is only one web service call object on the stack when removeAllObjects is called, EXC_BAD_ACCESS occurs in the web service call object's deallocation method when it attempts to release the date objects (even though they appear to exist and are in scope in the debugger). If, however, I comment out the release messages from the destructor, no memory leak occurs for one object on the stack being released, but memory leaks occur if there are more than one object on the stack. I have absolutely no idea what is going wrong. It doesn't make a difference what storage symantics I use for the web service call objects dates as they are assigned in the initialiser and then only read (so for correctness' sake are set to readonly). It also doesn't seem to make a difference if I retain or copy the dates in the initialiser (though anything else obviously falls out of scope or is unwantedly released elsewhere and causes a crash). I'm sorry this explanation is long winded, I hope it's sufficiently clear but I'm not gambling on that either I'm afraid. Major big thanks to anyone that can help, even suggest anything I may have missed?

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• Persistance JDO - How to query a property of a collection with JDOQL?

  - by Sergio del Amo

  I want to build an application where a user identified by an email address can have several application accounts. Each account can have one o more users. I am trying to use the JDO Storage capabilities with Google App Engine Java. Here is my attempt: @PersistenceCapable @Inheritance(strategy = InheritanceStrategy.NEW_TABLE) public class AppAccount { @PrimaryKey @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY) private Long id; @Persistent private String companyName; @Persistent List<Invoices> invoices = new ArrayList<Invoices>(); @Persistent List<AppUser> users = new ArrayList<AppUser>(); // Getter Setters and Other Fields } @PersistenceCapable @EmbeddedOnly public class AppUser { @Persistent private String username; @Persistent private String firstName; @Persistent private String lastName; // Getter Setters and Other Fields } When a user logs in, I want to check how many accounts does he belongs to. If he belongs to more than one he will be presented with a dashboard where he can click which account he wants to load. This is my code to retrieve a list of app accounts where he is registered. public static List<AppAccount> getUserAppAccounts(String username) { PersistenceManager pm = JdoUtil.getPm(); Query q = pm.newQuery(AppAccount.class); q.setFilter("users.username == usernameParam"); q.declareParameters("String usernameParam"); return (List<AppAccount>) q.execute(username); } But I get the next error: SELECT FROM invoices.server.AppAccount WHERE users.username == usernameParam PARAMETERS String usernameParam: Encountered a variable expression that isn't part of a join. Maybe you're referencing a non-existent field of an embedded class. org.datanucleus.store.appengine.FatalNucleusUserException: SELECT FROM com.softamo.pelicamo.invoices.server.AppAccount WHERE users.username == usernameParam PARAMETERS String usernameParam: Encountered a variable expression that isn't part of a join. Maybe you're referencing a non-existent field of an embedded class. at org.datanucleus.store.appengine.query.DatastoreQuery.getJoinClassMetaData(DatastoreQuery.java:1154) at org.datanucleus.store.appengine.query.DatastoreQuery.addLeftPrimaryExpression(DatastoreQuery.java:1066) at org.datanucleus.store.appengine.query.DatastoreQuery.addExpression(DatastoreQuery.java:846) at org.datanucleus.store.appengine.query.DatastoreQuery.addFilters(DatastoreQuery.java:807) at org.datanucleus.store.appengine.query.DatastoreQuery.performExecute(DatastoreQuery.java:226) at org.datanucleus.store.appengine.query.JDOQLQuery.performExecute(JDOQLQuery.java:85) at org.datanucleus.store.query.Query.executeQuery(Query.java:1489) at org.datanucleus.store.query.Query.executeWithArray(Query.java:1371) at org.datanucleus.jdo.JDOQuery.execute(JDOQuery.java:243) at com.softamo.pelicamo.invoices.server.Store.getUserAppAccounts(Store.java:82) at com.softamo.pelicamo.invoices.test.server.StoreTest.testgetUserAppAccounts(StoreTest.java:39) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44) at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15) at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41) at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20) at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28) at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:31) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:76) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50) at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193) at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52) at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191) at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42) at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184) at org.junit.runners.ParentRunner.run(ParentRunner.java:236) at org.eclipse.jdt.internal.junit4.runner.JUnit4TestReference.run(JUnit4TestReference.java:46) at org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:467) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:683) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:390) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:197) Any idea? I am getting JDO persistance totally wrong?

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• Fast distributed filesystem for a large amounts of data with metadata in database

  - by undefined hero

  My project uses several processing machines and one storage machine. Currently storage organized with a MSSQL filetable shared folder. Every file in storage have some metadata in database. Processing machines executes tasks for which they needed files from storage and their metadata. After completing task, processing machine puts resulting data back in storage. From there its taken by another processing machine, which also generates some file and put it back in storage. And etc. Everything was fine, but as number of processing machines increases, I found myself bottlenecked myself with storage machines hard drive performance. So I want processing machines to put files in distributed FS. to lift load from storage machines, from which they can take data from each other, not only storage machine. Can You suggest a particular distributed FS which meets my needs? Or there is another way to solve this problem, without it? Amounts of data in FS in one time are like several terabytes. (storage can handle this, but processors cannot). Data consistence is critical. Read write policy is: once file is written - its constant and may be only removed, but not modified. My current platform is Windows, but I'm ready to switch it, if there is a substantially more convenient solution on another one.

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• How can I set paperclip's storage mechanism based on the current Rails environment?

  - by John Reilly

  I have a rails application that has multiple models with paperclip attachments that are all uploaded to S3. This app also has a large test suite that is run quite often. The downside with this is that a ton of files are uploaded to our S3 account on every test run, making the test suite run slowly. It also slows down development a bit, and requires you to have an internet connection in order to work on the code. Is there a reasonable way to set the paperclip storage mechanism based on the Rails environment? Ideally, our test and development environments would use the local filesystem storage, and the production environment would use S3 storage. I'd also like to extract this logic into a shared module of some kind, since we have several models that will need this behavior. I'd like to avoid a solution like this inside of every model: ### We don't want to do this in our models... if Rails.env.production? has_attached_file :image, :styles => {...}, :storage => :s3, # ...etc... else has_attached_file :image, :styles => {...}, :storage => :filesystem, # ...etc... end Any advice or suggestions would be greatly appreciated! :-)

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• Happy Chinese New Year!

  - by Shaun

  Today is Dec the 29th in Chinese Traditional Calendar, that means on Thursday (3rd of Feb) we will have the Chinese New Year! For those who doesn’t know about the Chinese New Year please visit the wikipedia site. This is the most important holiday not only for the Chinese in China, but the Chinese all around the world. Here I would like to say: ????. (Chun Jie Kuai Le, Happy Chinese New Year). OK I have 3 news with my celebration: The new windows azure developer portal had been published for a while and the windows azure team wants to get to know how do we think about it. Here is a survey avaiable you can send your feedback. PS, please refer to my previous blog for the features of this new site. The latest Window Azure Platform Training Kit Jan Update had been released that you can download here. There is a demo and a hands-on lab about the Windows Phone 7 application with Windows Azure avaiable which should be interesting. If you have heard about the new feature for SQL Azure named SQL Azure Federation, you might know that it’s a cool feature and solution about database sharding. But for now there seems no similar solution for normal SQL Server and local database. I had created a library named PODA, which stands for Partition Oriented Data Access which partially implemented the features of SQL Azure Federation. I’m going to explain more about this project after the Chinese New Year but you can download the source code here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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• Story of success: MySQL Enterprise Backup (MEB) was successfully integrated with IBM Tivoli Storage Manager (TSM) via System Backup to Tape (SBT) interface.

  - by user13334359

  Since version 3.6 MEB supports backups to tape through the SBT interface.The officially supported tool for such backups to tape is Oracle Secure Backup (OSB).But there are a lot of other Storage Managers. MEB allows to use them through the SBT interface. Since version 3.7 it also has option --sbt-environment which allows to pass environment variables, not needed by OSB, to third-party managers. At the same time MEB can not guarantee it would work with all of them.This month we were contacted by a customer who wanted to use IBM Tivoli Storage Manager (TSM) with MEB. We could only say them same thing I wrote in previous paragraph: this solution is supposed to work, but you have to be pioneers of this technology. And they agreed. They agreed to be the pioneers and so the story begins.MEB requires following options to be specified by those who want to connect it to SBT interface:--sbt-database-name: a name which should be handed over to SBT interface. This can be any name. Default, MySQL, works for most cases, so user is not required to specify this option.--sbt-lib-path: path to SBT library. For TSM this library comes with "Data Protection for Oracle", which, in its turn, interfaces with Oracle Recovery Manager (RMAN), which uses SBT interface. So you need to install it even if you don't use Oracle.--sbt-environment: environment for third-party manager. This option is not needed when you use OSB, but almost always necessary for third-party SBT managers. TSM requires variable TDPO_OPTFILE to be set and point to the TSM configuration file.--backup-image=sbt:: path to the image. Prefix "sbt:" indicates that image should be sent through SBT interfaceSo full command in our case would look like: ./mysqlbackup --port=3307 --protocol=tcp --user=backup_user --password=foobar \ --backup-image=sbt:my-first-backup --sbt-lib-path=/usr/lib/libobk.so \ --sbt-environment="TDPO_OPTFILE=/path/to/my/tdpo.opt" --backup-dir=/path/to/my/dir backup-to-imageAnd this command results in the following output log: MySQL Enterprise Backup version 3.7.1 [2012/02/16] Copyright (c) 2003, 2012, Oracle and/or its affiliates. All Rights Reserved. INFO: Starting with following command line ...  ./mysqlbackup --port=3307 --protocol=tcp --user=backup_user         --password=foobar --backup-image=sbt:my-first-backup         --sbt-lib-path=/usr/lib/libobk.so         --sbt-environment="TDPO_OPTFILE=/path/to/my/tdpo.opt"         --backup-dir=/path/to/my/dir backup-to-image sbt-environment: 'TDPO_OPTFILE=/path/to/my/tdpo.opt' INFO: Got some server configuration information from running server. IMPORTANT: Please check that mysqlbackup run completes successfully.             At the end of a successful 'backup-to-image' run mysqlbackup             prints "mysqlbackup completed OK!". --------------------------------------------------------------------                        Server Repository Options: --------------------------------------------------------------------   datadir                          =  /path/to/data   innodb_data_home_dir             =  /path/to/data   innodb_data_file_path            =  ibdata1:2048M;ibdata2:2048M;ibdata3:64M:autoextend:max:2048M   innodb_log_group_home_dir        =  /path/to/data   innodb_log_files_in_group        =  2   innodb_log_file_size             =  268435456 --------------------------------------------------------------------                        Backup Config Options: --------------------------------------------------------------------   datadir                          =  /path/to/my/dir/datadir   innodb_data_home_dir             =  /path/to/my/dir/datadir   innodb_data_file_path            =  ibdata1:2048M;ibdata2:2048M;ibdata3:64M:autoextend:max:2048M   innodb_log_group_home_dir        =  /path/to/my/dir/datadir   innodb_log_files_in_group        =  2   innodb_log_file_size             =  268435456 Backup Image Path= sbt:my-first-backup mysqlbackup: INFO: Unique generated backup id for this is 13297406400663200 120220 08:54:00 mysqlbackup: INFO: meb_sbt_session_open: MMS is 'Data Protection for Oracle: version 5.5.1.0' 120220 08:54:00 mysqlbackup: INFO: meb_sbt_session_open: MMS version '5.5.1.0' mysqlbackup: INFO: Uses posix_fadvise() for performance optimization. mysqlbackup: INFO: System tablespace file format is Antelope. mysqlbackup: INFO: Found checkpoint at lsn 31668381. mysqlbackup: INFO: Starting log scan from lsn 31668224. 120220  8:54:00 mysqlbackup: INFO: Copying log... 120220  8:54:00 mysqlbackup: INFO: Log copied, lsn 31668381.           We wait 1 second before starting copying the data files... 120220  8:54:01 mysqlbackup: INFO: Copying /path/to/ibdata/ibdata1 (Antelope file format). mysqlbackup: Progress in MB: 200 400 600 800 1000 1200 1400 1600 1800 2000 120220  8:55:30 mysqlbackup: INFO: Copying /path/to/ibdata/ibdata2 (Antelope file format). mysqlbackup: Progress in MB: 200 400 600 800 1000 1200 1400 1600 1800 2000 120220  8:57:18 mysqlbackup: INFO: Copying /path/to/ibdata/ibdata3 (Antelope file format). mysqlbackup: INFO: Preparing to lock tables: Connected to mysqld server. 120220 08:57:22 mysqlbackup: INFO: Starting to lock all the tables.... 120220 08:57:22 mysqlbackup: INFO: All tables are locked and flushed to disk mysqlbackup: INFO: Opening backup source directory '/path/to/data/' 120220 08:57:22 mysqlbackup: INFO: Starting to backup all files in subdirectories of '/path/to/data/' mysqlbackup: INFO: Backing up the database directory 'mysql' mysqlbackup: INFO: Backing up the database directory 'test' mysqlbackup: INFO: Copying innodb data and logs during final stage ... mysqlbackup: INFO: A copied database page was modified at 31668381.           (This is the highest lsn found on page)           Scanned log up to lsn 31670396.           Was able to parse the log up to lsn 31670396.           Maximum page number for a log record 328 120220 08:57:23 mysqlbackup: INFO: All tables unlocked mysqlbackup: INFO: All MySQL tables were locked for 0.000 seconds 120220 08:59:01 mysqlbackup: INFO: meb_sbt_backup_close: blocks: 4162  size: 1048576  bytes: 4363985063 120220  8:59:01 mysqlbackup: INFO: Full backup completed! mysqlbackup: INFO: MySQL binlog position: filename bin_mysql.001453, position 2105 mysqlbackup: WARNING: backup-image already closed mysqlbackup: INFO: Backup image created successfully.:            Image Path: 'sbt:my-first-backup' -------------------------------------------------------------    Parameters Summary -------------------------------------------------------------    Start LSN                  : 31668224    End LSN                    : 31670396 ------------------------------------------------------------- mysqlbackup completed OK!Backup successfully completed.To restore it you should use same commands like you do for any other MEB image, but need to provide sbt* options as well: $./mysqlbackup --backup-image=sbt:my-first-backup --sbt-lib-path=/usr/lib/libobk.so \ --sbt-environment="TDPO_OPTFILE=/path/to/my/tdpo.opt" --backup-dir=/path/to/my/dir image-to-backup-dirThen apply log as usual: $./mysqlbackup --backup-dir=/path/to/my/dir apply-logThen stop mysqld and finally copy-back: $./mysqlbackup --defaults-file=path/to/my.cnf --backup-dir=/path/to/my/dir copy-back  Disclaimer. This is only story of one success which can be useful for someone else. MEB is not regularly tested and not guaranteed to work with IBM TSM or any other third-party storage manager.

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