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  • How do I restore a database on a remote SQL server 2005 from a local backup?

    - by MatsT
    I have been given access to (parts of) a remote SQL Server 2005 with SQL Server authentication in order to be able to make changes to a database without involving other people who is not working on the project. The database have been created on my local machine. Is there any way to restore the remote database from a backup file on my local computer? I do not currently have access to the filesystem on the remote server.

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  • Do we still need backup code for people who have javascript disabled?

    - by SLC
    I hear about it a bit in tutorials that I watch, that certain things won't work if javascript is disabled. Occasionally I see workarounds. The question is, are these relevent? I can't imagine anyone not having a javascript enabled browser nowadays, except the most ancient of phones, and chances are your page won't render on them properly anyway. Do people still bother to write backup code for javascript being disabled?

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  • NTBackup Error: C: is not a valid drive

    - by Chris
    I'm trying to use NtBackup to back up the C: Drive on a Microsoft Windows Small Business Server 2003 machine and get the following error in the log file: Backup Status Operation: Backup Active backup destination: 4mm DDS Media name: "Media created 04/02/2011 at 21:56" Error: The device reported an error on a request to read data from media. Error reported: Invalid command. There may be a hardware or media problem. Please check the system event log for relevant failures. Error: C: is not a valid drive, or you do not have access. The operation did not successfully complete. I'm using a brand new SATA Quantum Dat-72 drive with a brand new tape (tried a couple of tapes). I carry out the following: Open NTBackup Select Backup Tab Tick the box next to C: Ensure Destination is 4mm DDS Media is set to New Press Start Backup Choose Replace the data on the media and press Start Backup NTBackup tries to mount the media Error Message shows: The device reported an error on a request to read data from media. Error reported: INvalid command. There may be a hardware or media problem. Please check the system event log for relevant failures. On checking the log I find the following: Event Type: Information Event Source: NTBackup Event Category: None Event ID: 8018 Date: 04/02/2011 Time: 22:02:02 User: N/A Computer: SERVER Description: Begin Operation For more information, see Help and Support Center at http://go.microsoft.com/fwlink/events.asp. and then; Event Type: Information Event Source: NTBackup Event Category: None Event ID: 8019 Date: 04/02/2011 Time: 22:02:59 User: N/A Computer: SERVER Description: End Operation: The operation was successfully completed. Consult the backup report for more details. For more information, see Help and Support Center at http://go.microsoft.com/fwlink/events.asp.

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  • NTBackup Error: C: is not a valid drive

    - by Chris
    I'm trying to use NtBackup to back up the C: Drive on a Microsoft Windows Small Business Server 2003 machine and get the following error in the log file: Backup Status Operation: Backup Active backup destination: 4mm DDS Media name: "Media created 04/02/2011 at 21:56" Error: The device reported an error on a request to read data from media. Error reported: Invalid command. There may be a hardware or media problem. Please check the system event log for relevant failures. Error: C: is not a valid drive, or you do not have access. The operation did not successfully complete. I'm using a brand new SATA Quantum Dat-72 drive with a brand new tape (tried a couple of tapes). I carry out the following: Open NTBackup Select Backup Tab Tick the box next to C: Ensure Destination is 4mm DDS Media is set to New Press Start Backup Choose Replace the data on the media and press Start Backup NTBackup tries to mount the media Error Message shows: The device reported an error on a request to read data from media. Error reported: INvalid command. There may be a hardware or media problem. Please check the system event log for relevant failures. On checking the log I find the following: Event Type: Information Event Source: NTBackup Event Category: None Event ID: 8018 Date: 04/02/2011 Time: 22:02:02 User: N/A Computer: SERVER Description: Begin Operation For more information, see Help and Support Center at http://go.microsoft.com/fwlink/events.asp. and then; Event Type: Information Event Source: NTBackup Event Category: None Event ID: 8019 Date: 04/02/2011 Time: 22:02:59 User: N/A Computer: SERVER Description: End Operation: The operation was successfully completed. Consult the backup report for more details. For more information, see Help and Support Center at http://go.microsoft.com/fwlink/events.asp.

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  • daily rsync backups with hard links, checksums, and a new computer

    - by user75058
    I backup my laptop to a Fedora desktop daily using rsync with hard links. This has worked great for almost a year. I recently purchased a new computer, transferred over my data, and would like to continue backing up this computer daily. However, due to the data transfer from the old laptop to the new laptop, the timestamps have obviously changed, and will thus cause my daily rsync backup to re-transfer all of the data. I thought that by adding the -c (checksum) switch to my rsync backup it would match files based on checksum, instead of timestamp and size, and only transfer those files that are different or not present. This appeared to work, but upon examining the new backup, hard links are not being created, and it appears the files that should be hard linked are simply being copied to the new backup directory from the previous backup directory on the backup server. This is very peculiar behavior to me, and I am having trouble figuring out why this is occurring. Checksums match for files that I think should be hard linked. I have looked through the rsync man page and Google'd around a bit and have been unable to find anything for me to better understand this behavior.

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  • Bacula stops writing to disk volume after 2GB

    - by m.list
    Bacula Version: 5.2.5 I have configured bacula to write volumes to disk, however bacula stops writing to the volume as soon as it reaches 2gb. The file system is not an issue as I have stored files larger than 2gb. 06-Dec 17:22 backup-sd JobId 8421: End of Volume "Full-Monthly-0005" at 0:2147475577 on device "FileStorage" (/nfs/backup-pool). Write of 64512 bytes got 8069. 06-Dec 17:22 backup-sd JobId 8421: End of medium on Volume "Full-Monthly-0005" Bytes=2,147,475,578 Blocks=33,288 at 06-Dec-2012 17:22. backup1@backup:/nfs/backup-pool$ ls -alh Full-Monthly-0005 <br> -rw-r----- 1 bacula tape 2.0G Dec 3 16:14 Full-Monthly-0005 bacula-dir.conf: Pool { Name = Full-Monthly Pool Type = Backup Recycle = yes Volume Retention = 5 months Volume Use Duration = 1 day Maximum Volumes = 5 Maximum Volume Bytes = 12gb } bacula-sd.conf: Device { Name = FileStorage Media Type = File Archive Device = /nfs/backup-pool LabelMedia = yes # lets Bacula label unlabeled media Random Access = Yes RemovableMedia = no AlwaysOpen = no Label media = yes Maximum Volume Size = 12gb } In my original configuration Maximum Volume Bytes and Maximum Volume Size were not set at all and so should have defauted to no maximum but that did not work either.

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  • Java Generics, JPA 2, J2EE, JSF 2, GWT, Ajax, Oracle's Java Strategies, Flex, iPhone, Agile ALM, Gra

    - by Kim Won
    Great Indian Developer Summit 2010 – India's Biggest Polyglot Conference and Workshops for IT Software Professionals Bangalore, April 9, 2010: The GIDS.Java Conference and Workshops has announced the complete program of over 50 sessions on the present and future of the Java language and VM, how they are evolving to meet the community's ever-changing needs, and some of the cutting-edge tools, technologies & techniques used for building robust enterprise Java applications today. The GIDs.Java track at Great Indian Developer Summit takes place 22 and 23 April 2010, at the Indian Institute of Science in Bangalore. As one of the longest running independent developer conferences in India, GIDS.Java at the Great Indian Developer Summit 2010 is uniquely positioned to provide a blend of practical, pragmatic and immediately applicable knowledge and a glimpse of the future of technology. During 22 and 23 April 2010, GIDS.Java offers a multi-track conference, workshops, expo show floor, and networking opportunities. The first keynote at GIDS.Java "Pointy Haired Bosses and Pragmatic Programmers" is led by Dr. Venkat Subramaniam. He speaks about how each of us has a professional responsibility to be objective and make decisions that will help us and our teams be productive and deliver results. Venkat will pick on some fallacies, lay down facts, and discuss how to stay professional and objective in our daily efforts. The second keynote of the day explains the practical features that make the Cloud so interesting, and why everyone should start using it in their everyday life. Simone Brunozzi, Amazon Web Services Technology Evangelist, will detail technical examples, business details all mixed with a lot of Italian humor to ensure audience enjoy this talk without a single line of code. The third keynote of the day gives an exciting overview of directions in the Java space for Oracle, featuring concrete signs of Oracles heavy investment, a clear concise strategy overview, and deep dives into some of the most interesting pieces of technology being developed in the Java Platform Group today; such as JavaEE, JDK7, JavaFX, and our exciting new visual tools. Featuring demos by a Java evangelism team star, Simon Ritter, this talk takes you top to bottom in Java Technology. Featured talks at GID.Web include: Good, Bad, and Ugly of Java Generics, Venkat Subramaniam Pure Java Ajax: An Overview of GWT 2.0, Marty Hall How JPA 2.0 Makes a Good Thing Even Better, Mike Keith Building Enterprise RIAs with Adobe Flex and Java, Sujit Reddy G Integrated Ajax Support in JSF 2.0, Marty Hall Design Patterns in Java and Groovy, Venkat Subramaniam A Gentle Introduction to iPhone and Obj-C for Java Developers, Matthew McCullough Cloud Computing: Azure for Java Developers, Janakiram MSV Ajax Support in the Prototype JavaScript Library, Marty Hall First steps to IT Heaven Through the Cloud. Part III: .Java, Simone Brunozi Building Web 2.0 User Interfaces for Web Service Models using JSF, Frank Nimphius and Jobinesh P Acceptance Test Driven Development, John Tobin and Mohammed Mohsinali Architecting Your Java Applications for the Cloud, Praveen Srivatsa Effective Java, Venkat Subramaniam The Amazing Groovy Weight-loss Plan, Scott Davis Enterprise Modeling - from Conceptual Planning to Technical Blueprints, J Sripad Java Collections Renaissance, Donald Raab and Vlad Zakharov Power 7 and IBM J9VM, Himanshu Goyal A Whistle-stop Tour of Maven 3.0, Matthew McCullough Mass Volume Opportunities for Java Developers, Jouko Nuottila Emerging Technology Complex Event Processing, Duvvuri Srinivas Agile ALM for Distributed Development, Karthi Swaminathan Dim Sum Grails - A Sampler of Practical Non Database-Driven Grails Applications, Scott Davis Diagnosing Performance Bottlenecks in J2EE, Deepak Kaul Business Driven Identity Management, Suneet Agera Combining Java EE with OSGi using Eclipse Gemini, Mike Keith Workshop: Essence of Functional Programming, Venkat Subramaniam Workshop: Agile Development, Tools, and Teams and Scrum Certification, Stephen Forte Workshop: Cloud Computing Boot Camp on the Google App Engine, Matthew McCullough Workshop: Building Your First Amazon App, Simone Brunozzi Workshop: The 180-min AJAX and JSON Spike Class, Scott Davis Workshop: PHP + Adobe Flex = Killer RIA, Shyamprasad P Workshop: User Expereince Evaluation Model Walkthrough, Sanna Häiväläinen Workshop: Building Data Centric Applications using Adobe Flex and Java, Prashant Singh Workshop: Monetizing your Apps with PayPal X Payments Platform, Khurram Khan, Praveen Alavilli Sponsors of Great Indian Developer Summit 2010 include: Platinum sponsors Microsoft, Oracle Forum Nokia and Adobe; Gold sponsors Intel and SAP; Silver sponsors Quest Software, PayPal, Telerik and AMT. About Great Indian Developer Summit Great Indian Developer Summit is the gold standard for India's software developer ecosystem for gaining exposure to and evaluating new projects, tools, services, platforms, languages, software and standards. Packed with premium knowledge, action plans and advise from been-there-done-it veterans, creators, and visionaries, the 2010 edition of Great Indian Developer Summit features focused sessions, case studies, workshops and power panels that will transform you into a force to reckon with. Featuring 3 co-located conferences: GIDS.NET, GIDS.Web, GIDS.Java and an exclusive day of in-depth tutorials - GIDS.Workshops, from 20 April to 24 April at the IISc campus in Bangalore. At GIDS you'll participate in hundreds of sessions encompassing the full range of Microsoft computing, Java, Agile, RIA, Rich Web, open source/standards, languages, frameworks and platforms, practical tutorials that deep dive into technical skill and best practices, inspirational keynote presentations, an Expo Hall featuring dozens of the latest projects and products activities, engaging networking events, and the interact with the best and brightest of speakers from around the world. For further information on GIDS 2010, please visit the summit on the web http://www.developersummit.com/ A Saltmarch Media Press Release E: [email protected] Ph: +91 80 4005 1000

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  • Strategies for serializing an object for auditing/logging purpose in .NET?

    - by Jiho Han
    Let's say I have an application that processes messages. Messages are just objects in this case that implements IMessage interface which is just a marker. In this app, if a message fails to process, then I want to log it, first of all for auditing and troubleshooting purposes. Secondly I might want to use it for re-processing. Ideally, I want the message to be serialized into a format that is human-readable. The first candidate is XML although there are others like JSON. If I were to serialize the messages as XML, I want to know whether the message object is XML-serializable. One way is to reflect on the type and to see if it has a parameter-less constructor and the other is to require IXmlSerializable interface. I'm not too happy with either of these approaches. There is a third option which is to try to serialize it and catch exceptions. This doesn't really help - I want to, in some way, stipulate that IMessage (or a derived type) should be xml-serializable. The reflection route has obvious disadvantages such as security, performance, etc. IXmlSerializable route locks down my messages to one format, when in the future, I might want to change the serialization format to be JSON. The other thing is even the simplest objects now must implement ReadXml and WriteXml methods. Is there a route that involves the least amount of work that lets me serialize an arbitrary object (as long as it implements the marker interface) into XML but not lock future messages into XML?

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  • Different cache concurrent strategies for root entity and its collection (Hibernate with EHCache)?

    - by grigory
    Given example from Hibernate docs and modifying it so that root level entity (Customer) is read-only while one of its collections (tickets) is read-write: @Entity @Cache(usage = CacheConcurrencyStrategy.READ_ONLY) public class Customer { ... @OneToMany(...) @Cache(usage = CacheConcurrencyStrategy.READ_WRITE) public SortedSet<Ticket> getTickets() { return tickets; } ... } Would collection of tickets get refreshed when accessing customer from cache?

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  • Strategies for dealing with Circular references caused by JPA relationships?

    - by ams
    I am trying to partition my application into modules by features packaged into separate jars such as feature-a.jar, feature-b.jar, ... etc. Individual feature jars such as feature-a.jar should contain all the code for a feature a including jpa entities, business logic, rest apis, unit tests, integration test ... etc. The problem I am running into is that bi-directional relationships between JPA entities cause circular references between the jar files. For example Customer entity should be in customer.jar and the Order should be in order.jar but Customer references order and order references customer making it hard to split them into separate jars / eclipse projects. Options I see for dealing with the circular dependencies in JPA entities: Option 1: Put all the entities into one jar / one project Option 2: Don't map certain bi-directianl relationships to avoid circular dependencies across projects. Questions: What rules / principles have you used to decide when to do bi-directional mapping vs. not? Have you been able to break jpa entities into their own projects / jar by features if so how did you avoid the circular dependencies issues?

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  • Any strategies for assessing the trade-off between CPU loss and memory gain from compression of data

    - by indiehacker
    Are very large TextProperties a burden? Should they be compressed? Say I have a information stored in 2 attributes of type TextProperty in my datastore entities. The strings are always the same length of 65,000 characters and have lots of repeating integers, a sample appearing as follows: entity.pixel_idx = 0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,5,5,5,5,5,5,5,5,5,5,5,5....etc. entity.pixel_color = 2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,...etc. So these above could also be represented using much less storage memory by compressing say using only each integer and the length of its series ( '0,8' for '0,0,0,0,0,0,0,0') but then its takes time and CPU to compress and decompress? Any general ideas? Are there some tricks for testing different attempts to the problem?

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  • What strategies are efficient to handle concurrent reads on heterogeneous multi-core architectures?

    - by fabrizioM
    I am tackling the challenge of using both the capabilities of a 8 core machine and a high-end GPU (Tesla 10). I have one big input file, one thread for each core, and one for the the GPU handling. The Gpu thread, to be efficient, needs a big number of lines from the input, while the Cpu thread needs only one line to proceed (storing multiple lines in a temp buffer was slower). The file doesn't need to be read sequentially. I am using boost. My strategy is to have a mutex on the input stream and each thread locks - unlocks it. This is not optimal because the gpu thread should have a higher precedence when locking the mutex, being the fastest and the most demanding one. I can come up with different solutions but before rush into implementation I would like to have some guidelines. What approach do you use / recommend ?

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  • What's the difference between initializing this structure with these strategies?

    - by mystify
    // the malloc style, which returns a pointer: struct Cat *newCat = malloc(sizeof(struct Cat)); // no malloc...but isn't it actually the same thing? uses memory as well, or not? struct Cat cat = {520.0f, 680.0f, NULL}; Basically, I can get a initialized structure in these two ways. My guess is: It's the same thing, but when I use malloc I also have to free() that. In the second case I don't have to think about memory, because I don't call malloc. Maybe. When should I use the malloc style, and when the other?

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  • Challenges and Opportunities to Drive Change in the Healthcare System Explored at America’s Health Insurance Plans Exchange Conference and Institute 2013

    - by elaine blog
    The program theme at the June America’s Health Insurance Plans (AHIP) Exchange Conference and AHIP’s Institute 2013 was Transforming Our Health Care System: Navigating and Succeeding in the New Marketplace.  Topics included care delivery transformation, innovation for a new healthcare eco system, Health Insurance Exchanges, the nexus of consumerism, retail and healthcare, driving value through improved operations and leveraging technology, data and innovation to transform care. Oracle participated as a sponsor of both conferences, signaling the significant investment and activity Oracle continues to make in helping health plans, providers and government agencies become more efficient and more relevant in the healthcare market place. AHIP is a national trade association representing the health insurance industry. AHIP’s members provide health and supplemental benefits to more than 200 million Americans through employer-sponsored coverage, the individual insurance market and public programs such as Medicare and Medicaid.   AHIP advocates for public policies that expand access to affordable health care. Health plans are focusing on the Health Insurance Exchanges and the opportunities they offer to provide better access and higher quality healthcare.  With the opportunities come operational challenges to implementation and innovative technology solutions to consider.   At the Exchange Conference, Oracle hosted a breakfast symposium on “Strategies for Success:  Driving Business Transformation in the Growing Health Insurance Exchange Market”. With Health Insurance Exchanges as catalysts for change, attendees learned about how to achieve integration within an Exchange and deploy new business strategies to support health reform initiatives. Discussion covered steps and processes to successfully establish and implement enrollment systems, quote to card activities, program pricing, claims billing, automated claims processing and new customer service tools. Piyush Pushkar, COO of Benefitalign, an Oracle partner that provides solutions to adopt innovative business models for retail, HIX, consumer-centric health plan and benefits administration, spoke on the state of the Exchanges in the U.S. and the activities health plans are engaged in to support individuals entering the healthcare system, including sales automation, member enrollment automation/portals and integration strategies with the Exchanges. The Oracle and Benefitalign partnership allows seamless integration between a health plan enrollment solution with the HIX individual market and allows for the health plan to customize and characterize the offerings available to the HIX that may or may not be available through other channels.  This approach can benefit the health plan through separation of interests, but also because some state-run HIXs require such separation. Janice W. Young, Program Director, Payer IT Strategies, IDC Health Insights, reviewed a survey of health plans on their investment priorities for this last year as well as this year.  She also identified the 2013-2015 strategies of go/get to market with front end and compliance investments; leveraging existing business processes and internal technologies; and establishing best practices.  Of key interest to the audience was a reform era payer solutions platform overview mapping technologies to support the business operations. David Bonham of the Oracle Health Insurance organization moderated the panel and spoke on Oracle’s presence in healthcare and products for payers to help them drive efficiencies and gain a competitive advantage in an ever changing market. Oracle serves healthcare stakeholders with applications such as billing, rating and underwriting, analytics, CRM, enrollment, and products for processing of health insurance claims including pricing and benefits administration, as well as payment of providers through alternative, non-fee for service reimbursement methods. Oracle in Healthcare….Did you know? More than 80 healthcare payers run Oracle applications. More than 300 leading healthcare providers run Oracle applications. 10 out of the top 12 fortune Global 500 healthcare organizations run Oracle applications. For more information on Oracle solutions for healthcare payers, please visit oracle.com/insurance or these individual solution pages: Oracle Health Insurance Components Oracle Insurance Insbridge Rating and Underwriting Oracle Insurance Revenue Management and Billing Oracle Documaker Oracle Healthcare Oracle CRM Related Resources Webcast On Demand: Strategies for Success: Driving Business Transformation in the Growing Health Insurance Exchange Market Strategy Brief: Executing on the Individual Mandate: Opportunities and Challenges for Healthcare Payers White Paper: White paper: Navigating Alternative Provider Reimbursement Models of the Future Strategy Brief: Enterprise Rating Agility Improves Payer Response to Healthcare Reform Podcast: Technology Implications of Healthcare Reform Don’t forget to keep up with us year-round: Facebook: www.facebook.com/oracleinsurance Twitter: www.twitter.com/oracleinsurance YouTube: www.youtube.com/oracleinsurance

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  • Windows Azure Evolution &ndash; Caching (Preview)

    - by Shaun
    Caching is a popular topic when we are building a high performance and high scalable system not only on top of the cloud platform but the on-premise environment as well. On March 2011 the Windows Azure AppFabric Caching had been production launched. It provides an in-memory, distributed caching service over the cloud. And now, in this June 2012 update, the cache team announce a grand new caching solution on Windows Azure, which is called Windows Azure Caching (Preview). And the original Windows Azure AppFabric Caching was renamed to Windows Azure Shared Caching.   What’s Caching (Preview) If you had been using the Shared Caching you should know that it is constructed by a bunch of cache servers. And when you want to use you should firstly create a cache account from the developer portal and specify the size you want to use, which means how much memory you can use to store your data that wanted to be cached. Then you can add, get and remove them through your code through the cache URL. The Shared Caching is a multi-tenancy system which host all cached items across all users. So you don’t know which server your data was located. This caching mode works well and can take most of the cases. But it has some problems. The first one is the performance. Since the Shared Caching is a multi-tenancy system, which means all cache operations should go through the Shared Caching gateway and then routed to the server which have the data your are looking for. Even though there are some caches in the Shared Caching system it also takes time from your cloud services to the cache service. Secondary, the Shared Caching service works as a block box to the developer. The only thing we know is my cache endpoint, and that’s all. Someone may satisfied since they don’t want to care about anything underlying. But if you need to know more and want more control that’s impossible in the Shared Caching. The last problem would be the price and cost-efficiency. You pay the bill based on how much cache you requested per month. But when we host a web role or worker role, it seldom consumes all of the memory and CPU in the virtual machine (service instance). If using Shared Caching we have to pay for the cache service while waste of some of our memory and CPU locally. Since the issues above Microsoft offered a new caching mode over to us, which is the Caching (Preview). Instead of having a separated cache service, the Caching (Preview) leverage the memory and CPU in our cloud services (web role and worker role) as the cache clusters. Hence the Caching (Preview) runs on the virtual machines which hosted or near our cloud applications. Without any gateway and routing, since it located in the same data center and same racks, it provides really high performance than the Shared Caching. The Caching (Preview) works side-by-side to our application, initialized and worked as a Windows Service running in the virtual machines invoked by the startup tasks from our roles, we could get more information and control to them. And since the Caching (Preview) utilizes the memory and CPU from our existing cloud services, so it’s free. What we need to pay is the original computing price. And the resource on each machines could be used more efficiently.   Enable Caching (Preview) It’s very simple to enable the Caching (Preview) in a cloud service. Let’s create a new windows azure cloud project from Visual Studio and added an ASP.NET Web Role. Then open the role setting and select the Caching page. This is where we enable and configure the Caching (Preview) on a role. To enable the Caching (Preview) just open the “Enable Caching (Preview Release)” check box. And then we need to specify which mode of the caching clusters we want to use. There are two kinds of caching mode, co-located and dedicate. The co-located mode means we use the memory in the instances we run our cloud services (web role or worker role). By using this mode we must specify how many percentage of the memory will be used as the cache. The default value is 30%. So make sure it will not affect the role business execution. The dedicate mode will use all memory in the virtual machine as the cache. In fact it will reserve some for operation system, azure hosting etc.. But it will try to use as much as the available memory to be the cache. As you can see, the Caching (Preview) was defined based on roles, which means all instances of this role will apply the same setting and play as a whole cache pool, and you can consume it by specifying the name of the role, which I will demonstrate later. And in a windows azure project we can have more than one role have the Caching (Preview) enabled. Then we will have more caches. For example, let’s say I have a web role and worker role. The web role I specified 30% co-located caching and the worker role I specified dedicated caching. If I have 3 instances of my web role and 2 instances of my worker role, then I will have two caches. As the figure above, cache 1 was contributed by three web role instances while cache 2 was contributed by 2 worker role instances. Then we can add items into cache 1 and retrieve it from web role code and worker role code. But the items stored in cache 1 cannot be retrieved from cache 2 since they are isolated. Back to our Visual Studio we specify 30% of co-located cache and use the local storage emulator to store the cache cluster runtime status. Then at the bottom we can specify the named caches. Now we just use the default one. Now we had enabled the Caching (Preview) in our web role settings. Next, let’s have a look on how to consume our cache.   Consume Caching (Preview) The Caching (Preview) can only be consumed by the roles in the same cloud services. As I mentioned earlier, a cache contributed by web role can be connected from a worker role if they are in the same cloud service. But you cannot consume a Caching (Preview) from other cloud services. This is different from the Shared Caching. The Shared Caching is opened to all services if it has the connection URL and authentication token. To consume the Caching (Preview) we need to add some references into our project as well as some configuration in the Web.config. NuGet makes our life easy. Right click on our web role project and select “Manage NuGet packages”, and then search the package named “WindowsAzure.Caching”. In the package list install the “Windows Azure Caching Preview”. It will download all necessary references from the NuGet repository and update our Web.config as well. Open the Web.config of our web role and find the “dataCacheClients” node. Under this node we can specify the cache clients we are going to use. For each cache client it will use the role name to identity and find the cache. Since we only have this web role with the Caching (Preview) enabled so I pasted the current role name in the configuration. Then, in the default page I will add some code to show how to use the cache. I will have a textbox on the page where user can input his or her name, then press a button to generate the email address for him/her. And in backend code I will check if this name had been added in cache. If yes I will return the email back immediately. Otherwise, I will sleep the tread for 2 seconds to simulate the latency, then add it into cache and return back to the page. 1: protected void btnGenerate_Click(object sender, EventArgs e) 2: { 3: // check if name is specified 4: var name = txtName.Text; 5: if (string.IsNullOrWhiteSpace(name)) 6: { 7: lblResult.Text = "Error. Please specify name."; 8: return; 9: } 10:  11: bool cached; 12: var sw = new Stopwatch(); 13: sw.Start(); 14:  15: // create the cache factory and cache 16: var factory = new DataCacheFactory(); 17: var cache = factory.GetDefaultCache(); 18:  19: // check if the name specified is in cache 20: var email = cache.Get(name) as string; 21: if (email != null) 22: { 23: cached = true; 24: sw.Stop(); 25: } 26: else 27: { 28: cached = false; 29: // simulate the letancy 30: Thread.Sleep(2000); 31: email = string.Format("{0}@igt.com", name); 32: // add to cache 33: cache.Add(name, email); 34: } 35:  36: sw.Stop(); 37: lblResult.Text = string.Format( 38: "Cached = {0}. Duration: {1}s. {2} => {3}", 39: cached, sw.Elapsed.TotalSeconds.ToString("0.00"), name, email); 40: } The Caching (Preview) can be used on the local emulator so we just F5. The first time I entered my name it will take about 2 seconds to get the email back to me since it was not in the cache. But if we re-enter my name it will be back at once from the cache. Since the Caching (Preview) is distributed across all instances of the role, so we can scaling-out it by scaling-out our web role. Just use 2 instances and tweak some code to show the current instance ID in the page, and have another try. Then we can see the cache can be retrieved even though it was added by another instance.   Consume Caching (Preview) Across Roles As I mentioned, the Caching (Preview) can be consumed by all other roles within the same cloud service. For example, let’s add another web role in our cloud solution and add the same code in its default page. In the Web.config we add the cache client to one enabled in the last role, by specifying its role name here. Then we start the solution locally and go to web role 1, specify the name and let it generate the email to us. Since there’s no cache for this name so it will take about 2 seconds but will save the email into cache. And then we go to web role 2 and specify the same name. Then you can see it retrieve the email saved by the web role 1 and returned back very quickly. Finally then we can upload our application to Windows Azure and test again. Make sure you had changed the cache cluster status storage account to the real azure account.   More Awesome Features As a in-memory distributed caching solution, the Caching (Preview) has some fancy features I would like to highlight here. The first one is the high availability support. This is the first time I have heard that a distributed cache support high availability. In the distributed cache world if a cache cluster was failed, the data it stored will be lost. This behavior was introduced by Memcached and is followed by almost all distributed cache productions. But Caching (Preview) provides high availability, which means you can specify if the named cache will be backup automatically. If yes then the data belongs to this named cache will be replicated on another role instance of this role. Then if one of the instance was failed the data can be retrieved from its backup instance. To enable the backup just open the Caching page in Visual Studio. In the named cache you want to enable backup, change the Backup Copies value from 0 to 1. The value of Backup Copies only for 0 and 1. “0” means no backup and no high availability while “1” means enabled high availability with backup the data into another instance. But by using the high availability feature there are something we need to make sure. Firstly the high availability does NOT means the data in cache will never be lost for any kind of failure. For example, if we have a role with cache enabled that has 10 instances, and 9 of them was failed, then most of the cached data will be lost since the primary and backup instance may failed together. But normally is will not be happened since MS guarantees that it will use the instance in the different fault domain for backup cache. Another one is that, enabling the backup means you store two copies of your data. For example if you think 100MB memory is OK for cache, but you need at least 200MB if you enabled backup. Besides the high availability, the Caching (Preview) support more features introduced in Windows Server AppFabric Caching than the Windows Azure Shared Caching. It supports local cache with notification. It also support absolute and slide window expiration types as well. And the Caching (Preview) also support the Memcached protocol as well. This means if you have an application based on Memcached, you can use Caching (Preview) without any code changes. What you need to do is to change the configuration of how you connect to the cache. Similar as the Windows Azure Shared Caching, MS also offers the out-of-box ASP.NET session provider and output cache provide on top of the Caching (Preview).   Summary Caching is very important component when we building a cloud-based application. In the June 2012 update MS provides a new cache solution named Caching (Preview). Different from the existing Windows Azure Shared Caching, Caching (Preview) runs the cache cluster within the role instances we have deployed to the cloud. It gives more control, more performance and more cost-effect. So now we have two caching solutions in Windows Azure, the Shared Caching and Caching (Preview). If you need a central cache service which can be used by many cloud services and web sites, then you have to use the Shared Caching. But if you only need a fast, near distributed cache, then you’d better use Caching (Preview).   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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  • Does anyone have a backup strategy for SQL Azure databases?

    - by Pete
    I'm using SQL Azure on a project and it works great. The problem is that the usual backup features do not exist. I have exported the database a couple of times using SQLAzureMW ( http://sqlazuremw.codeplex.com/ ) but this tool is now choking trying to download the database data with bcp. In any case, it's not as nice a solution as SQL Server backups. Is anyone aware of a commercial or open source tool, or other technique, for making reliable backups of SQL Azure databases? This is really a showstopper.

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  • How to schedule a cron job to backup a MySql database every week?

    - by KevinM
    What is a command line I can use to back up a MySql database every single week into a file name with the date (so that it doesn't collide with previous backups)? Also, is this a reasonable backup strategy? My database is relatively small (a complete export is only 3.2 megs right now). The churn rate is relatively low. I need to be able to get the complete DB back if something goes wrong. And it would be extra cool if there's a way that I could see the changes that occur across a time span.

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  • iPhone 3G backup encryption? I've never entered a password?

    - by Lewis
    I can't unclick or access my backup iPhone encrypted file. For the life of me I can not remember ever entering a password for the encrypted iPhone backups. I've tried every password I've used or use and nothing is working. I'm not getting anywhere with long searches online. Can anyone here help? iPhone 3.1.2 iTunes 9.1.1 Mac OSX 10.5.8 Please help, how do I get my iPhone backed up from my 'locked' file I've never locked?

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  • How to create and restore a backup from SqlAlchemy?

    - by swilliams
    I'm writing a Pylons app, and am trying to create a simple backup system where every table is serialized and tarred up into a single file for an administrator to download, and use to restore the app should something bad happen. I can serialize my table data just fine using the SqlAlchemy serializer, and I can deserialize it fine as well, but I can't figure out how to commit those changes back to the database. In order to serialize my data I am doing this: from myproject.model.meta import Session from sqlalchemy.ext.serializer import loads, dumps q = Session.query(MyTable) serialized_data = dumps(q.all()) In order to test things out, I go ahead and truncation MyTable, and then attempt to restore using serialized_data: from myproject.model import meta restore_q = loads(serialized_data, meta.metadata, Session) This doesn't seem to do anything... I've tried calling a Session.commit after the fact, individually walking through all the objects in restore_q and adding them, but nothing seems to work. What am I missing? Or is there a better way to do what I'm aiming for? I don't want to shell out and directly touch the database, since SqlAlchemy supports different database engines.

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  • help with batch file using WINRAR please

    - by Jessie
    i need help with batch file for WINRAR pleasee hi i am trying to use winrar to convert all my different folders individually from one location to another. example: c:\projects\test c:\projects\country c:\projects\db to c:\backup\test.rar c:\backup\country.rar c:\backup\db.rar I am trying the following cmd, which works but what it does is that it gets all the folders in the projects folder into the backup for /f "delims==" %%D in ('DIR C:\projects /A /B /S') do ( "C:\Program Files\WinRAR\WinRAR.EXE" m -r "c:\backup\projects.rar" "%%D" ) but this is what it does c:\backup\project.rar (it does contain all the files if i extract) i want them separetely can you please help?

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  • Can Haskell's Parsec library be used to implement a recursive descent parser with backup?

    - by Thor Thurn
    I've been considering using Haskell's Parsec parsing library to parse a subset of Java as a recursive descent parser as an alternative to more traditional parser-generator solutions like Happy. Parsec seems very easy to use, and parse speed is definitely not a factor for me. I'm wondering, though, if it's possible to implement "backup" with Parsec, a technique which finds the correct production to use by trying each one in turn. For a simple example, consider the very start of the JLS Java grammar: Literal: IntegerLiteral FloatingPointLiteral I'd like a way to not have to figure out how I should order these two rules to get the parse to succeed. As it stands, a naive implementation like this: literal = do { x <- try (do { v <- integer; return (IntLiteral v)}) <|> (do { v <- float; return (FPLiteral v)}); return(Literal x) } Will not work... inputs like "15.2" will cause the integer parser to succeed first, and then the whole thing will choke on the "." symbol. In this case, of course, it's obvious that you can solve the problem by re-ordering the two productions. In the general case, though, finding things like this is going to be a nightmare, and it's very likely that I'll miss some cases. Ideally, I'd like a way to have Parsec figure out stuff like this for me. Is this possible, or am I simply trying to do too much with the library? The Parsec documentation claims that it can "parse context-sensitive, infinite look-ahead grammars", so it seems like something like I should be able to do something here.

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  • C#: Take Out Image Portion of JPEG to Backup Metadata?

    - by Carlo Mendoza
    This will be a little backwards from the typical approach. I've used ExifTool for metadata manipulation before, but I really want to keep the best metadata backup I can before I make anything permanent. What I want to do is remove the compressed image portion of a JPEG file to leave everything else intact. That's backing up EXIF, Makernotes, IPTC, XMP, etc whether at the beginning or end of the file. What I've tried so far is to strip all metadata from a copy of the original JPEG, and use it as a basis of what bytes will be taken out of the original. After looking at the raw data, it doesn't seem like the stripped copy is contiguous in the original copy. There may be some header information still remaining in the stripped version. I don't really know. Not a good way to do it, I suppose. Are there any markers that will absolutely tell me where the compressed JPEG image data starts and ends? I understand that JPEG files have 0xFFD8 and 0xFFD9 to mark the start and end of the image, but have come to find out that metadata is actually between those markers. I'm using C#. Thank you.

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