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  • CloudBerry Online Backup 1.5 for Windows Home Server

    - by The Geek
    Overview CloudBerry Online Backup version 1.5 is a front end application for Amazon S3 storage for backing up your Windows Home Server data. It makes backing up your essential data to Amazon S3 an easy process in the event the disaster strikes. Installation You install the Cloudberry Addin as you do for any addins for Windows Home Server. On a PC on your network, browse to the shared folders on your server and open the Add-Ins folder and copy over WHS_CloudBerryOnlineBackupSetup_v1.5.0.81S3o.msi (link below), then close out of the folder. Next launch the Windows Home Server Console, click Settings, then Add-Ins. Click on the Available tab and click the Install button. It installs very quickly, and when you get the Installation Succeeded dialog click OK. You will lose connection through the Console, just click OK, then reconnect. After reconnecting, you’ll see CloudBerry Backup has been installed, and you can begin using it. You can setup a backup plan right away or find out what’s new with version 1.5. Amazon S3 Account If you don’t already have an Amazon S3 account, you’ll be prompted to create a new one. Click on the Create an account hyperlink, which takes you to the Amazon S3 page where you can sign up. After reviewing the functionality of Amazon S3, click on the Sign Up for Amazon S3 button. Enter in your contact information and accept the Amazon Web Services Customer Agreement. You’re then shown their pricing for storage plans. The amount of storage space you use will depend on your needs. It’s relatively cheap for smaller amounts of data. Just keep in mind the more data you store and download, the more S3 is going to cost. Note: Amazon S3 is introducing Reduced Redundancy Storage which will lower the cost of the data stored on S3. CloudBerry 1.5 will support this new feature. You can find out more about this new pricing structure. Note: Keep in mind that after you first sign up for an Amazon S3 account, it can take up to 24 hours to be authorized. In fact, you may want to sign up for the S3 account before installing the Add-In. After you sign up for your S3 Account, you’ll be given access credentials which you can enter in and create a Storage Bucket name. Features & Use CloudBerry is wizard driven, straight-forward and easy to use. Here we take a look at creating a backup plan. To begin, click on the Setup Backup Plan button to kick off the wizard. Select your backup mode based on the amount of features you want. In our example we’re going to select Advanced Mode as it offers more features than Simple Mode. Select your backup storage account or create a new one. You can select a default account by checking Use currently selected account as default. Now you can go through and select the files and folders you want to backup from your home server. Check the box Show physical drives to get more of a selection of files and folders. This also allows you to backup files from your data drive as well. It has full support for drive extenders so you can backup your shares as well. The cool thing about Cloudberry is it allows you to drill down specific files and folders unlike other WHS backup utilities. Next you can use advanced filters to specify files and/or folders to skip if you want. There are compression and encryption options as well. This will save storage space, bandwidth, and keep your data secure. Purge Options allow you to customize options for getting rid of older files. You can also select the option to delete files from the S3 service that have been deleted locally. Be careful with this option however, as you won’t be able to restore files if you delete them locally. You have some nice scheduling options from running backups manually, specific date and time, or recurring daily, weekly or monthly. Receive email notifications in all cases or when a backup fails. This is a good option so you know if things were successful or something failed, and you need to back it up manually. Email notifications… Give your plan a name… Then if the summary page looks good you can continue, or still go back at this point if something doesn’t look correct and needs adjusting. That’s it! You’re ready to go, and you have an option to start your first backup right away. After you’ve created a backup plan, you can go in and edit, delete, view history, or restore files. Restoring Files using CloudBerry To restore data from your backups kick off the Restore Wizard and select the backup to restore from. You can select the last backup, a specific point in time, or manually browse through the files. Browse through the directory and select the files you need to restore. Choose the destination to restore the files to. You can select from the original location, a specific location, to overwrite existing files, or set the location as the default for future restores. If the files are encrypted, enter in the correct passwords. If the summary looks good, click on Next to start the restore process. You’ll be shown a progress bar at the bottom of the screen while the files are restored. After the process has completed, close out of the Restore Wizard. In this example we restored a couple of music files to the desktop of Windows Home Server… But as shown above you can save them to the original location, other network locations, or WHS shared folders. This can make it a lot easier to keep track of files you’ve restored. You can also access different options for CloudBerry by clicking Settings in WHS Console then CloudBerry Backup. Here you can set up a new storage account, check for updates, app options, Diagnostics, and send feedback. Under Options there are several settings you can tweak to get the best experience for your WHS backups. CloudBerry Web Interface Another nice feature is the CloudBerry Web Interface so you can access your data from anywhere you have an Internet connection. To check it out in WHS Console, click on the Backup Web Interface link…you’ll probably want to bookmark the link in your favorite browser. Note: This feature is still in beta and at the time of this review, the Web Interface wasn’t up and running so we weren’t able to test it out. Performance The Cloudberry app works very well through the Windows Home Server Console. The amount of time it takes to backup or restore your data will depend on the speed of your Internet connection and size of the files. In our tests, backing up 1GB of data to the Amazon S3 account took around an hour, but we were running it on a DSL with limited upload speeds so your mileage will vary. Product Support In our experience, the team at CloudBerry offered great support in a timely manner when contacting them. You can fill out a help request through a form on their website and they also have a community forum. Conclusion We were very pleased with CloudBerry Online Backup for WHS. It’s wizard driven interface makes it extremely easy to use, and offers comprehensive backup choices for your Amazon S3 account. CloudBerry will only backup files that have been modified, so if files haven’t been changed, they won’t be backed up again.They offer a free 15 day trial and is $29.99 after that for a full license. Once you buy the app you own it, and charges to your S3 account will vary depending on the amount of data you upload. If you’re looking for an effective and easy to use front end application to backup your Windows Home Server data to your Amazon S3 account, CloudBerry is a recommended affordable choice. Download CloudBerry for Windows Home Server Sign Up For Amazon S3 Account Rating Installation: 9 Ease of Use: 8 Features: 8 Performance: 8 Product Support: 8 Similar Articles Productive Geek Tips Restore Files from Backups on Windows Home ServerGMedia Blog: Setting Up a Windows Home ServerBackup Windows Home Server Folders to an External Hard DriveBackup Your Windows Home Server Off-Site with Asus WebstorageRemove a Network Computer from Windows Home Server TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 VMware Workstation 7 Acronis Online Backup Sculptris 1.0, 3D Drawing app AceStock, a Tiny Desktop Quote Monitor Gmail Button Addon (Firefox) Hyperwords addon (Firefox) Backup Outlook 2010 Daily Motivator (Firefox)

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  • Flash Technology Can Revolutionize your IT Infrastructure

    - by kimberly.billings
    A recent article in the Data Center Journal written by Mark Teter outlines how flash is becoming a disruptive technology in the data center and how it will soon replace HDDs in the storage hierarchy. As Teter explains, the drivers behind this trend are lower cost/performance and power savings; flash is over 100x faster for reads than the fastest HDD, and while it is expensive, it can produce dramatic reductions in the cost of performance as measured in Input/Outputs per second (IOPS). What's more, flash consumes 1/5th the power of HDD, so it's faster AND greener. Teter writes, "when appropriately used, flash turns the current economics of IT performance on its head. That's disruptive." Exadata Smart Flash Cache in the Sun Oracle Database Machine makes intelligent use of flash storage to deliver extreme performance for OLTP and mixed workloads. It intelligently caches data from the Oracle Database replacing slow mechanical I/O operations to disk with very rapid flash memory operations. Exadata Smart Flash Cache is the fundamental technology of the Sun Oracle Database Machine that enables the processing of up to 1 million random I/O operations per second (IOPS), and the scanning of data within Exadata storage at up to 50 GB/second. Are you incorporating flash into your storage strategy? Let us know! Read more: "Flash technology can revolutionize your IT infrastructure", The Data Center Journal, March 30, 2010. Exadata Smart Flash Cache and the Sun Oracle Database Machine white paper var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • New Hands-On Labs For Oracle VM

    - by rickramsey
    I just spent some time walking through the labs that Christophe Pauliat and Olivier Canonge prepared to help you become familiar with Oracle VM. They are terrific. We will offer them for the first time at Oracle Open World. Because they require some pre-work and 16Gigs of memory, we are supplying the laptops for the participants. Lab 1: Deploying Infrastructure as a Service with Oracle VM Session ID: HOL9558 Tuesday October 2nd, 2012 10:15am – 11:15am Marriott Marquis - Salon 14/15 Planning and deployment of an infrastructure as a service (IaaS) environment with Oracle VM as the foundation. Storage capacity planning, LUN creation, network bandwidth planning, and best practices for designing and streamlining the environment so that it's easy to manage. Lab 2: Virtualize and Deploy Oracle Applications Using Oracle VM Templates Session ID: HOL9559 Tuesday October 2nd, 2012 11:45am – 12:45pm Marriott Marquis - Salon 14/15 How to deploy Oracle applications in minutes with Oracle VM Templates. Step-by-step lab proctored by field-experienced engineers and product experts. Covers: Find out what Oracle VM Templates are and how they work Deploy an actual Oracle VM Template for an Oracle Application Plan your deployment to streamline on going updates and upgrades Lab 3: x86 Enterprise Cloud Infrastructure with Oracle VM 3.x and Sun ZFS Storage Appliance Session ID: HOL 9870 Wednesday, 3 Oct, 2012 5:00 PM - 6:00 PM Marriott Marquis - Salon 14/15 This hands-on lab will demonstrate what Oracle’s enterprise cloud infrastructure for x86 can do, and how it works with Oracle VM 3.x. It covers: How to create VMs How to migrate VMs How to deploy Oracle applications quickly and easily with Oracle VM Templates How to use the Storage Connect plug-in for the Sun ZFS Storage Appliance Additional Virtualization Resources for Sysadmins Technical articles about virtualization Other resources about Oracle virtualization technologies More information about Oracle Open World. - Rick Website Newsletter Facebook Twitter

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  • SQL Azure Pricing

    - by kaleidoscope
    Microsoft’s pricing for SQL Server in the cloud, SQLAzure has been announced: $9.99   per month for 0 – 1GB $99.99 per month up to 10GB. There’s currently a 10GB maximum size cap for SQLAzure. For larger data storage needs, you’ll need to break the databases into smaller sizes. Scaling SQL Azure Applications If you think you’re going to need 100GB in the near term, it probably makes sense to break your application up into multiple separate databases from the get-go (10 x $9.99 = $99.99 anyway) and just make really sure none of the individual databases exceed 10GB. Beep Beep, Back That Database Up The bandwidth costs for SQL Azure are $.15 per GB of outbound bandwidth.  Assuming that you don’t compress the data before you pull it out of the cloud, that means daily backups of a 1GB database will add another $4.50 per month, and a 10GB database will add another $45/month.  Daily backups will cost about half of what your monthly service charges cost. It’s not completely clear from the press release, but if Microsoft follows Amazon’s pricing model, bandwidth between the Microsoft cloud services will not incur a cost.  That would mean it might make sense to spin up an Windows Azure computing application for $.12 per hour, use that application to compress your SQL Azure database, and then send the compressed data off to Azure storage for backup.  That would eliminate the data in/out costs, and minimize the Azure storage costs ($.15/GB).  Database administrators would back up their SQL Azure data to Azure Storage, keep a history of backups there, and restore them to SQL Azure faster when needed. Of course, there’s no native backup support in SQL Azure, and it’s not clear whether Windows Azure will include tools like SQL Server Integration Services. More details can be found at http://www.brentozar.com/archive/2009/07/sql-azure-pricing-10-for-1gb-100-for-10gb/   Anish, S

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  • Key announcements from Oracle Openworld - Video series

    - by Javier Puerta
    If you missed Oracle Openworld now you have the opportunity to watch a series of four 15-min webcasts with the key announcements, explained by EMEA key executives. Oracle OpenWorld I, OMN - Part 1 OPENWORLD I: Oracle's Cloud. interview with Alan HartwellGaye Hudson and Steve Walker, EMEA Corporate Communications take a look at Oracle's announcements leading up to Oracle Open World and talk to Alan Hartwell, VP Sales, Engineered Solutions, Exadata, Exalogic about Oracle's cloud offering. Oracle Open World II , OMN Part 2 OPENWORLD II: Engineered Systems with Alan HartwellGaye Hudson, VP Corporate Communications, EMEA talks to Alan Hartwell, VP Sales, Engineered Solutions, Exadata, Exalogic about Oracle's Engineered Systems, parallel hardware and software; Exalytics, Big Data Appliance & Enterprise Manager. Oracle OpenWorld III, OMN Part 3 OPENWORLD III: HW with John Abel, Storage with Luc Gheysens Gaye Hudson and Steve Walker talk to John Abel, Chief Technology Architect, Oracle Server and Storage, EMEA about SPARC SuperCluster and T4; and to Luc Gheysens, Senior Director, Storage Sales Specialist, EMEA about ZFS Storage and Pillar Axiom 600. Oracle OpenWorld IV, OMN Part 4 OPENWORLD IV: Oracle Fusion Applications with Noel ColoeGaye Hudson, VP Corporate Communications, EMEA talks to Noel Coloe, Head of Western Europe Applications Sales Development about Oracle Fusion Applications, a new paradigm in Enterprise applications.

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  • What are Information Centers?

    - by user12244613
    Information Centers are similar to product pages in the Oracle Sun System Handbook Many customers like the Oracle Sun System Handbook concept of a home page with all the product attributes, troubleshooting etc. access from a single home page. This concept is now available for a range of Oracle Solaris, Systems, and Storage products. The Information Center for each product covers areas such as: Overview, Hot Topics, Patching and Maintenance. The Information Center pages are dynamically generated each night to ensure the latest content is available to you. Here are the top Solaris, Systems, and Storage Information Centers: Oracle Explorer Data Collector Oracle Solaris 10 Live Upgrade Oracle Solaris 11 Booting Information Center Oracle Solaris 11 Desktop and Graphics Information Center Oracle Solaris 11 Image Packaging System (IPS) Information Center Oracle Solaris 11 Installation Information Center Oracle Solaris 11 Product Information Center Oracle Solaris 11 Security Information Center Oracle Solaris 11 System Administration Information Center Oracle Solaris 11 Zones Information Center Oracle Solaris Crash Analysis Tool(SCAT) - Information Center Oracle Solaris Cluster Information Center Oracle Solaris Internet Protocol Multipathing (IPMP) Information Center Oracle Solaris Live Upgrade Information Center Oracle Solaris ZFS Information Center Oracle Solaris Zones Information Center CMT T1000/T2000 and Netra T2000 CMT T5120/T5120/T5140/T5220/T5240/T5440 Systems M3000/M4000/M5000/M8000/M9000-32/M9000-64 Management and Diagnostic Tools for Oracle Sun Systems Netra CT410/810 and Netra CT900 Network-Attached Storage (NAS) Oracle Explorer Data Collector Oracle VM Server for SPARC (LDoms) Pillar Axiom 600 SL3000 Tape Library Sun Disk Storage Patching and Updates Sun Fire 3800/4800/4810/6800/E2900/E4900/E6900/V1280 - Netra 1280/1290 Sun Fire 12K/15K/E20K/E25K Sun Fire X4270 M2 Server Sun x86 Servers T3 and T4 Systems Tape Domain Firmware V210/V240/V440/V215/V245/V445 Servers VSM (VTSS/VLE/VTCS)

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  • Product Update Bulletin: Oracle Solaris Cluster October 2013

    - by uwes
    Announcing new qualifications and general news for the Oracle Solaris Cluster product. Hardware Qualifications Sun Server X4-2 and X4-2L servers, Sun Blade X4-2B server module with Oracle Solaris Cluster 3.3 Sun Storage 16 Gb Fibre Channel ExpressModule Universal HBA, Emulex Oracle Dual Port QDR InfiniBand Adapter M3 Software Qualifications Oracle Database 12c Real Application Cluster with Oracle Solaris Cluster 4.1 Oracle Database 11.2.0.4 single instance and RAC with Oracle Solaris Cluster 4.1 Oracle VM server for SPARC 3.1 SAP Netweaver with new kernel versions ZFS Storage Appliance Kit version 2011.1.7.0 and 2013.1.0.0 Application monitoring in Oracle VM for SPARC failover guest domain Storage Partner Update Oracle Solaris Cluster 3.3 3/13 with the HDS Enterprise Storage arrays EMC SRDF for Oracle database 12c RAC in Oracle Solaris Cluster 4.1 geo cluster configuration Oracle Solaris Cluster References Korea Enterprise Data, HDFC Securities, Dealis Fund Operations Web Updates New blog entry: Oracle Solaris 10 Brand Zone cluster Solaris Application Engineering website now includes Oracle Solaris Cluster application support information Please read the Oracle Solaris Cluster Product Update Bulletin on Oracle HW TRC for more details. (If you are not registered on Oracle HW TRC, click here ... and follow the instructions..) _____________________________________________________________________ For More Information Go To:Oracle.com Oracle Solaris Cluster page Oracle Technology Network Oracle Solaris Cluster pageOracle Solaris Cluster mos communityPartner web Oracle Solaris Cluster pageOracle Solaris Cluster Blog Solaris.us.oracle.com page

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  • SQL SERVER – What is the Maximum Relational Database Size Supported by Single Instance?

    - by Pinal Dave
    I often get asked following question? “How much data SQL Server can handle?” Every single time when I get this question – I ask back following question - “How much data your storage system can handle?” The reason I ask this question back is because in reality for enterprise systems the limitation of storage is no more an issue. The Matter of the fact most of the database is now a days limited by the size of the storage system. SQL Server is enterprise system and it is very mature product. Even though if you still want to know what is the actual limit here is the answer. SQL Server 2008R2, 2012 and 2014 have maximum capacity of 524 PB (Petabyte) in the Enterprise, BI and Standard edition. SQL Server Express has a limitation of 10 GB due to its nature. I guess, now when you look at my question it will make sense that it is all depending on the size of your storage system. I personally believe at this point of time 524 PB is quite a huge data, but we never know after 10 years when we read this blog post, we all may think what was I thinking actually. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • How can I make an unmounted / unmountable NTFS disk not show up in the nautilus devices area?

    - by Dennis
    I have an idea that my /etc/fstab is a real mish-mash and I don't remember how it got that way, first of all it looks like this UUID=9EB80807B807DD21 /media/Storage ntfs-3g users 0 0 UUID=a60397fd-964a-45b1-ad35-53c8a4bee010 / ext4 defaults 0 1 UUID=1764825d-b8ba-4620-b3b0-e979b6f4f5c4 swap swap sw 0 0 UUID=255DA1E406E29DBC /media/sda2 ntfs-3g defaults 0 0 UUID=2CCCF161CCF1262C /mnt/sda1 ntfs-3g umask=000 0 0 /dev/fd0 /media/floppy0 vfat noauto 0 0 I started with an old XP install on disk /dev/sda that I don't use anymore but didn't want to delete, so I shrunk the XP partition, added a NTFS partition that would be common to both systems (Labeled it "Common" in XP), then installed Lucid on an extended ext4 partition. On this disk of course the ext4 system partition comes up as /, the go between partition auto-mounts on /media/sda1 but shows up in Nautilus as COMMOM, while the XP system disk does not show up in Nautilus, but I can get to it by navigating to /mnt/sda1. A second hard drive (/dev/sdb) that I stuck in was already formatted NTFS with a bunch of stuff and labeled "Storage". It auto-mounts to /media/Storage but another un-mounted disk also shows up in the Nautilus device area called Storage but it can't be mounted (Here and in the "Places" are the only times it appears) I would primarily like this non-existant (or already mounted depending on how you look at it) disk to not show up, but I wouldn't mind an explanation of why one labeled partition auto-mounts to a /media mount point but shows up by label, one does not show up as mounted at all but mounts to a /mnt mount point and is there for navigation, and one is mounted to a directory of the same name as the label. I would love to have some consistancy / direction on what is proper in this circumstance. No doubt I caused this with the fstab but I really don't remember what my rational was if I edited it manually

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  • ?Oracle DB 11gR2 ??????????????????/????????????????!

    - by Yuichi.Hayashi
    ?????????????????????????????40~60%????????????? ??????????????????????????????????????????????????????????????????????????????????... ????????????????????????????????????????TCO(Total Cost of Ownership)???????????? ??????????????????????????????????????????????????????????????????????????? ???????1?1???????????????????????????????????1??????????????????????????????????????·????????????? ??????????????????·???·????????????????TCO????????????? ????????????????Grid(????)????????????????????????????·???? = Oracle Real Application Clusters(RAC)???????·???? = Oracle Automatic Storage Management(ASM)????????????????????????????????????? Oracle Database???????11g R2?????????????????????????/???????????????????????(????????????????)?????????????????????????????! SCAN Single Client Access Name(SCAN)??Oracle Real Application Clusters(RAC)11g R2??????? SCAN??????????????????????????????????????????????????RAC?????????????????????????·????????????????????SCAN?????????????????????VIP?????????????RAC????????????????????????????????!???????????????? ???????????????????????????????????????SCAN?????????????????????????????TCO?????????????????(????????????)???????????????????????????????!????????????? SCAN?????????????????????? ??????Oracle Database 11gR2 Real Application Clusters(?????????) ??????Oracle Real Application Clusters 11g Release 2 SCAN??? ACFS ASM Cluster File System(ACFS)??Automatic Storage Management(ASM)11g R2??????? ASM??S.A.M.E.(Stripe And Mirror Everything)????????????????????????????????????????????????????????·???????·??????????????????10g????????????????·??????????·???????????????ASM????????????·??????????????????????????????????????????·?????????????????????????????????????????????? 11g R2??????ACFS?????????????????(????????????????????????????????????????????????????????)????ASM???????????????????????????????????????????????????????·??????????????ACFS????! · ??????????????????? · ????????????/???? · ??????????????????????(?????)??? · ????????????? ?2???????????????????????????? · ???????????? ??????????????????????·??????????·?????????????????????!???????????????????????????????????????? ACFS??????????????????? ??????Oracle Database 11gR2 Automatic Storage Management ??????Oracle Database 11g Release 2 Automatic Storage Management???????????????? ??????·????? ??????·???????Oracle Database Resource Manager(????·?????)11g R2??????? ????·????????????·???????????????????????????????Oracle Database???Oracle RAC????????????????????????????????????????????????????????????????????????????????????????????????????1????????????? ????????????·?????????????????????????????????????????????????????????????????? CPU ???????????????????????????????????????????????????·??????????????????????????? 11g R2??????????·???????????????? CPU_COUNT ?????????????? CPU ???????????????????????????·??????? CPU ?????????????????????????????????????????????? ????????·???????????????????????????????????????????Oracle ??????????????????????·??????? CPU ??????????????????????????????·???????????????!???????????????? ??????·???????????????????????? ??????Oracle Database 11gR2 ????????????? ?????????? ? ??????????????????????????????????!? ? ???????????????????????????????????!?

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  • Inside the Concurrent Collections: ConcurrentBag

    - by Simon Cooper
    Unlike the other concurrent collections, ConcurrentBag does not really have a non-concurrent analogy. As stated in the MSDN documentation, ConcurrentBag is optimised for the situation where the same thread is both producing and consuming items from the collection. We'll see how this is the case as we take a closer look. Again, I recommend you have ConcurrentBag open in a decompiler for reference. Thread Statics ConcurrentBag makes heavy use of thread statics - static variables marked with ThreadStaticAttribute. This is a special attribute that instructs the CLR to scope any values assigned to or read from the variable to the executing thread, not globally within the AppDomain. This means that if two different threads assign two different values to the same thread static variable, one value will not overwrite the other, and each thread will see the value they assigned to the variable, separately to any other thread. This is a very useful function that allows for ConcurrentBag's concurrency properties. You can think of a thread static variable: [ThreadStatic] private static int m_Value; as doing the same as: private static Dictionary<Thread, int> m_Values; where the executing thread's identity is used to automatically set and retrieve the corresponding value in the dictionary. In .NET 4, this usage of ThreadStaticAttribute is encapsulated in the ThreadLocal class. Lists of lists ConcurrentBag, at its core, operates as a linked list of linked lists: Each outer list node is an instance of ThreadLocalList, and each inner list node is an instance of Node. Each outer ThreadLocalList is owned by a particular thread, accessible through the thread local m_locals variable: private ThreadLocal<ThreadLocalList<T>> m_locals It is important to note that, although the m_locals variable is thread-local, that only applies to accesses through that variable. The objects referenced by the thread (each instance of the ThreadLocalList object) are normal heap objects that are not specific to any thread. Thinking back to the Dictionary analogy above, if each value stored in the dictionary could be accessed by other means, then any thread could access the value belonging to other threads using that mechanism. Only reads and writes to the variable defined as thread-local are re-routed by the CLR according to the executing thread's identity. So, although m_locals is defined as thread-local, the m_headList, m_nextList and m_tailList variables aren't. This means that any thread can access all the thread local lists in the collection by doing a linear search through the outer linked list defined by these variables. Adding items So, onto the collection operations. First, adding items. This one's pretty simple. If the current thread doesn't already own an instance of ThreadLocalList, then one is created (or, if there are lists owned by threads that have stopped, it takes control of one of those). Then the item is added to the head of that thread's list. That's it. Don't worry, it'll get more complicated when we account for the other operations on the list! Taking & Peeking items This is where it gets tricky. If the current thread's list has items in it, then it peeks or removes the head item (not the tail item) from the local list and returns that. However, if the local list is empty, it has to go and steal another item from another list, belonging to a different thread. It iterates through all the thread local lists in the collection using the m_headList and m_nextList variables until it finds one that has items in it, and it steals one item from that list. Up to this point, the two threads had been operating completely independently. To steal an item from another thread's list, the stealing thread has to do it in such a way as to not step on the owning thread's toes. Recall how adding and removing items both operate on the head of the thread's linked list? That gives us an easy way out - a thread trying to steal items from another thread can pop in round the back of another thread's list using the m_tail variable, and steal an item from the back without the owning thread knowing anything about it. The owning thread can carry on completely independently, unaware that one of its items has been nicked. However, this only works when there are at least 3 items in the list, as that guarantees there will be at least one node between the owning thread performing operations on the list head and the thread stealing items from the tail - there's no chance of the two threads operating on the same node at the same time and causing a race condition. If there's less than three items in the list, then there does need to be some synchronization between the two threads. In this case, the lock on the ThreadLocalList object is used to mediate access to a thread's list when there's the possibility of contention. Thread synchronization In ConcurrentBag, this is done using several mechanisms: Operations performed by the owner thread only take out the lock when there are less than three items in the collection. With three or greater items, there won't be any conflict with a stealing thread operating on the tail of the list. If a lock isn't taken out, the owning thread sets the list's m_currentOp variable to a non-zero value for the duration of the operation. This indicates to all other threads that there is a non-locked operation currently occuring on that list. The stealing thread always takes out the lock, to prevent two threads trying to steal from the same list at the same time. After taking out the lock, the stealing thread spinwaits until m_currentOp has been set to zero before actually performing the steal. This ensures there won't be a conflict with the owning thread when the number of items in the list is on the 2-3 item borderline. If any add or remove operations are started in the meantime, and the list is below 3 items, those operations try to take out the list's lock and are blocked until the stealing thread has finished. This allows a thread to steal an item from another thread's list without corrupting it. What about synchronization in the collection as a whole? Collection synchronization Any thread that operates on the collection's global structure (accessing anything outside the thread local lists) has to take out the collection's global lock - m_globalListsLock. This single lock is sufficient when adding a new thread local list, as the items inside each thread's list are unaffected. However, what about operations (such as Count or ToArray) that need to access every item in the collection? In order to ensure a consistent view, all operations on the collection are stopped while the count or ToArray is performed. This is done by freezing the bag at the start, performing the global operation, and unfreezing at the end: The global lock is taken out, to prevent structural alterations to the collection. m_needSync is set to true. This notifies all the threads that they need to take out their list's lock irregardless of what operation they're doing. All the list locks are taken out in order. This blocks all locking operations on the lists. The freezing thread waits for all current lockless operations to finish by spinwaiting on each m_currentOp field. The global operation can then be performed while the bag is frozen, but no other operations can take place at the same time, as all other threads are blocked on a list's lock. Then, once the global operation has finished, the locks are released, m_needSync is unset, and normal concurrent operation resumes. Concurrent principles That's the essence of how ConcurrentBag operates. Each thread operates independently on its own local list, except when they have to steal items from another list. When stealing, only the stealing thread is forced to take out the lock; the owning thread only has to when there is the possibility of contention. And a global lock controls accesses to the structure of the collection outside the thread lists. Operations affecting the entire collection take out all locks in the collection to freeze the contents at a single point in time. So, what principles can we extract here? Threads operate independently Thread-static variables and ThreadLocal makes this easy. Threads operate entirely concurrently on their own structures; only when they need to grab data from another thread is there any thread contention. Minimised lock-taking Even when two threads need to operate on the same data structures (one thread stealing from another), they do so in such a way such that the probability of actually blocking on a lock is minimised; the owning thread always operates on the head of the list, and the stealing thread always operates on the tail. Management of lockless operations Any operations that don't take out a lock still have a 'hook' to force them to lock when necessary. This allows all operations on the collection to be stopped temporarily while a global snapshot is taken. Hopefully, such operations will be short-lived and infrequent. That's all the concurrent collections covered. I hope you've found it as informative and interesting as I have. Next, I'll be taking a closer look at ThreadLocal, which I came across while analyzing ConcurrentBag. As you'll see, the operation of this class deserves a much closer look.

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  • GKTank example is not working.

    - by david
    Hello, I'm trying to get the GKTank example working with 2 iPhones. Both have bluetooth enabled. I start the app on both devices and tap the screen. The Peer Picker comes up and the devices find each other. If I select one device in the list it says "Waiting for {other iPhone}..." forever. On the {other iPhone} the waiting phone gets grayed out. If I select the device to connect to from both devices at the same time both go into waiting state forever... The debug log says this if I select the other iPhone on the debugged device: 2010-05-30 23:20:24.331 GKTank[2433:4e03] handleEvents started (2) 2010-05-30 23:20:25.269 GKTank[2433:4e03] ~ DNSServiceRegister callback: Ref=135f70, Flags=2, ErrorType=0 name=00oRWv-0A..David’s iPhone regtype=_gktank._udp. domain=local. 2010-05-30 23:20:25.375 GKTank[2433:4e03] ~ DNSServiceBrowse callback: Ref=134f30, Flags=2, IFIndex=8 (name=[en2]), ErrorType=0 name=00oRWv-0A..David’s iPhone regtype=_gktank._udp. domain=local. 2010-05-30 23:20:30.691 GKTank[2433:4e03] ~ DNSServiceBrowse callback: Ref=134f30, Flags=2, IFIndex=-3 (name=[]), ErrorType=0 name=00K83eS0A..iPhone von Tamara regtype=_gktank._udp. domain=local. 2010-05-30 23:20:30.855 GKTank[2433:4e03] ~ DNSServiceQueryRecord callback: Ref=13a320, Flags=2, IFIndex=-3 (name=[]), ErrorType=0 fullname=00k83es0a..iphone\032von\032tamara._gktank._udp.local. rrtype=16 rrclass=1 rdlen=18 ttl=7200 2010-05-30 23:20:30.872 GKTank[2433:4e03] ** peer 480260628: oldbusy=0, newbusy=0 2010-05-30 23:20:35.215 GKTank[2433:207] ** Stop resolving? potentially previous resolves 2010-05-30 23:20:35.226 GKTank[2433:207] **** BEGIN RESOLVE: 480260628 and it stays that way. On the second iPhone the device is listed as not available and grayed out. If I select each other at the same time it says this: 2010-05-30 23:24:31.416 GKTank[2442:4e03] handleEvents started (2) 2010-05-30 23:24:32.321 GKTank[2442:4e03] ~ DNSServiceRegister callback: Ref=135120, Flags=2, ErrorType=0 name=006JiAZ0A..David’s iPhone regtype=_gktank._udp. domain=local. 2010-05-30 23:24:32.419 GKTank[2442:4e03] ~ DNSServiceBrowse callback: Ref=134f30, Flags=2, IFIndex=8 (name=[en2]), ErrorType=0 name=006JiAZ0A..David’s iPhone regtype=_gktank._udp. domain=local. 2010-05-30 23:24:57.156 GKTank[2442:4e03] ~ DNSServiceBrowse callback: Ref=134f30, Flags=2, IFIndex=-3 (name=[]), ErrorType=0 name=004_n6C0A..iPhone von Tamara regtype=_gktank._udp. domain=local. 2010-05-30 23:24:57.308 GKTank[2442:4e03] ~ DNSServiceQueryRecord callback: Ref=13a320, Flags=2, IFIndex=-3 (name=[]), ErrorType=0 fullname=004_n6c0a..iphone\032von\032tamara._gktank._udp.local. rrtype=16 rrclass=1 rdlen=18 ttl=7200 2010-05-30 23:24:57.314 GKTank[2442:4e03] ** peer 203104196: oldbusy=0, newbusy=0 2010-05-30 23:25:02.383 GKTank[2442:207] ** Stop resolving? potentially previous resolves 2010-05-30 23:25:02.425 GKTank[2442:207] **** BEGIN RESOLVE: 203104196 2010-05-30 23:25:13.562 GKTank[2442:4e03] ~ DNSServiceQueryRecord callback: Ref=13a320, Flags=2, IFIndex=-3 (name=[]), ErrorType=0 fullname=004_n6c0a..iphone\032von\032tamara._gktank._udp.local. rrtype=16 rrclass=1 rdlen=18 ttl=7200 2010-05-30 23:25:13.569 GKTank[2442:4e03] ** peer 203104196: oldbusy=0, newbusy=1 2010-05-30 23:25:33.660 GKTank[2442:4e03] ~ DNSServiceBrowse callback: Ref=134f30, Flags=0, IFIndex=-3 (name=[]), ErrorType=0 name=004_n6C0A..iPhone von Tamara regtype=_gktank._udp. domain=local. 2010-05-30 23:25:33.671 GKTank[2442:4e03] Peer [203104196] removed? (0). 2010-05-30 23:25:33.683 GKTank[2442:4e03] GKPeer[139f10] 203104196 service count old=1 new=0 2010-05-30 23:25:37.786 GKTank[2442:4e03] ~ DNSServiceBrowse callback: Ref=134f30, Flags=2, IFIndex=-3 (name=[]), ErrorType=0 name=004_n6C0A..iPhone von Tamara regtype=_gktank._udp. domain=local. 2010-05-30 23:25:37.816 GKTank[2442:4e03] GKPeer[139f10] 203104196 service count old=0 new=1 ... and waits forever. Does anybody know whats wrong with this sample??

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  • Nginx and client certificates from hierarchical OpenSSL-based certification authorities

    - by Fmy Oen
    I'm trying to set up root certification authority, subordinate certification authority and to generate the client certificates signed by any of this CA that nginx 0.7.67 on Debian Squeeze will accept. My problem is that root CA signed client certificate works fine while subordinate CA signed one results in "400 Bad Request. The SSL certificate error". Step 1: nginx virtual host configuration: server { server_name test.local; access_log /var/log/nginx/test.access.log; listen 443 default ssl; keepalive_timeout 70; ssl_protocols SSLv3 TLSv1; ssl_ciphers AES128-SHA:AES256-SHA:RC4-SHA:DES-CBC3-SHA:RC4-MD5; ssl_certificate /etc/nginx/ssl/server.crt; ssl_certificate_key /etc/nginx/ssl/server.key; ssl_client_certificate /etc/nginx/ssl/client.pem; ssl_verify_client on; ssl_session_cache shared:SSL:10m; ssl_session_timeout 5m; location / { proxy_pass http://testsite.local/; } } Step 2: PKI infrastructure organization for both root and subordinate CA (based on this article): # mkdir ~/pki && cd ~/pki # mkdir rootCA subCA # cp -v /etc/ssl/openssl.cnf rootCA/ # cd rootCA/ # mkdir certs private crl newcerts; touch serial; echo 01 > serial; touch index.txt; touch crlnumber; echo 01 > crlnumber # cp -Rvp * ../subCA/ Almost no changes was made to rootCA/openssl.cnf: [ CA_default ] dir = . # Where everything is kept ... certificate = $dir/certs/rootca.crt # The CA certificate ... private_key = $dir/private/rootca.key # The private key and to subCA/openssl.cnf: [ CA_default ] dir = . # Where everything is kept ... certificate = $dir/certs/subca.crt # The CA certificate ... private_key = $dir/private/subca.key # The private key Step 3: Self-signed root CA certificate generation: # openssl genrsa -out ./private/rootca.key -des3 2048 # openssl req -x509 -new -key ./private/rootca.key -out certs/rootca.crt -config openssl.cnf Enter pass phrase for ./private/rootca.key: You are about to be asked to enter information that will be incorporated into your certificate request. What you are about to enter is what is called a Distinguished Name or a DN. There are quite a few fields but you can leave some blank For some fields there will be a default value, If you enter '.', the field will be left blank. ----- Country Name (2 letter code) [AU]: State or Province Name (full name) [Some-State]: Locality Name (eg, city) []: Organization Name (eg, company) [Internet Widgits Pty Ltd]: Organizational Unit Name (eg, section) []: Common Name (eg, YOUR name) []:rootca Email Address []: Step 4: Subordinate CA certificate generation: # cd ../subCA # openssl genrsa -out ./private/subca.key -des3 2048 # openssl req -new -key ./private/subca.key -out subca.csr -config openssl.cnf Enter pass phrase for ./private/subca.key: You are about to be asked to enter information that will be incorporated into your certificate request. What you are about to enter is what is called a Distinguished Name or a DN. There are quite a few fields but you can leave some blank For some fields there will be a default value, If you enter '.', the field will be left blank. ----- Country Name (2 letter code) [AU]: State or Province Name (full name) [Some-State]: Locality Name (eg, city) []: Organization Name (eg, company) [Internet Widgits Pty Ltd]: Organizational Unit Name (eg, section) []: Common Name (eg, YOUR name) []:subca Email Address []: Please enter the following 'extra' attributes to be sent with your certificate request A challenge password []: An optional company name []: Step 5: Subordinate CA certificate signing by root CA certificate: # cd ../rootCA/ # openssl ca -in ../subCA/subca.csr -extensions v3_ca -config openssl.cnf Using configuration from openssl.cnf Enter pass phrase for ./private/rootca.key: Check that the request matches the signature Signature ok Certificate Details: Serial Number: 1 (0x1) Validity Not Before: Feb 4 10:49:43 2013 GMT Not After : Feb 4 10:49:43 2014 GMT Subject: countryName = AU stateOrProvinceName = Some-State organizationName = Internet Widgits Pty Ltd commonName = subca X509v3 extensions: X509v3 Subject Key Identifier: C9:E2:AC:31:53:81:86:3F:CD:F8:3D:47:10:FC:E5:8E:C2:DA:A9:20 X509v3 Authority Key Identifier: keyid:E9:50:E6:BF:57:03:EA:6E:8F:21:23:86:BB:44:3D:9F:8F:4A:8B:F2 DirName:/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca serial:9F:FB:56:66:8D:D3:8F:11 X509v3 Basic Constraints: CA:TRUE Certificate is to be certified until Feb 4 10:49:43 2014 GMT (365 days) Sign the certificate? [y/n]:y 1 out of 1 certificate requests certified, commit? [y/n]y ... # cd ../subCA/ # cp -v ../rootCA/newcerts/01.pem certs/subca.crt Step 6: Server certificate generation and signing by root CA (for nginx virtual host): # cd ../rootCA # openssl genrsa -out ./private/server.key -des3 2048 # openssl req -new -key ./private/server.key -out server.csr -config openssl.cnf Enter pass phrase for ./private/server.key: You are about to be asked to enter information that will be incorporated into your certificate request. What you are about to enter is what is called a Distinguished Name or a DN. There are quite a few fields but you can leave some blank For some fields there will be a default value, If you enter '.', the field will be left blank. ----- Country Name (2 letter code) [AU]: State or Province Name (full name) [Some-State]: Locality Name (eg, city) []: Organization Name (eg, company) [Internet Widgits Pty Ltd]: Organizational Unit Name (eg, section) []: Common Name (eg, YOUR name) []:test.local Email Address []: Please enter the following 'extra' attributes to be sent with your certificate request A challenge password []: An optional company name []: # openssl ca -in server.csr -out certs/server.crt -config openssl.cnf Step 7: Client #1 certificate generation and signing by root CA: # openssl genrsa -out ./private/client1.key -des3 2048 # openssl req -new -key ./private/client1.key -out client1.csr -config openssl.cnf Enter pass phrase for ./private/client1.key: You are about to be asked to enter information that will be incorporated into your certificate request. What you are about to enter is what is called a Distinguished Name or a DN. There are quite a few fields but you can leave some blank For some fields there will be a default value, If you enter '.', the field will be left blank. ----- Country Name (2 letter code) [AU]: State or Province Name (full name) [Some-State]: Locality Name (eg, city) []: Organization Name (eg, company) [Internet Widgits Pty Ltd]: Organizational Unit Name (eg, section) []: Common Name (eg, YOUR name) []:Client #1 Email Address []: Please enter the following 'extra' attributes to be sent with your certificate request A challenge password []: An optional company name []: # openssl ca -in client1.csr -out certs/client1.crt -config openssl.cnf Step 8: Client #1 certificate converting to PKCS12 format: # openssl pkcs12 -export -out certs/client1.p12 -inkey private/client1.key -in certs/client1.crt -certfile certs/rootca.crt Step 9: Client #2 certificate generation and signing by subordinate CA: # cd ../subCA/ # openssl genrsa -out ./private/client2.key -des3 2048 # openssl req -new -key ./private/client2.key -out client2.csr -config openssl.cnf Enter pass phrase for ./private/client2.key: You are about to be asked to enter information that will be incorporated into your certificate request. What you are about to enter is what is called a Distinguished Name or a DN. There are quite a few fields but you can leave some blank For some fields there will be a default value, If you enter '.', the field will be left blank. ----- Country Name (2 letter code) [AU]: State or Province Name (full name) [Some-State]: Locality Name (eg, city) []: Organization Name (eg, company) [Internet Widgits Pty Ltd]: Organizational Unit Name (eg, section) []: Common Name (eg, YOUR name) []:Client #2 Email Address []: Please enter the following 'extra' attributes to be sent with your certificate request A challenge password []: An optional company name []: # openssl ca -in client2.csr -out certs/client2.crt -config openssl.cnf Step 10: Client #2 certificate converting to PKCS12 format: # openssl pkcs12 -export -out certs/client2.p12 -inkey private/client2.key -in certs/client2.crt -certfile certs/subca.crt Step 11: Passing server certificate and private key to nginx (performed with OS superuser privileges): # cd ../rootCA/ # cp -v certs/server.crt /etc/nginx/ssl/ # cp -v private/server.key /etc/nginx/ssl/ Step 12: Passing root and subordinate CA certificates to nginx (performed with OS superuser privileges): # cat certs/rootca.crt > /etc/nginx/ssl/client.pem # cat ../subCA/certs/subca.crt >> /etc/nginx/ssl/client.pem client.pem file look like this: # cat /etc/nginx/ssl/client.pem -----BEGIN CERTIFICATE----- MIID6TCCAtGgAwIBAgIJAJ/7VmaN048RMA0GCSqGSIb3DQEBBQUAMFYxCzAJBgNV BAYTAkFVMRMwEQYDVQQIEwpTb21lLVN0YXRlMSEwHwYDVQQKExhJbnRlcm5ldCBX aWRnaXRzIFB0eSBMdGQxDzANBgNVBAMTBnJvb3RjYTAeFw0xMzAyMDQxMDM1NTda ... -----END CERTIFICATE----- Certificate: Data: Version: 3 (0x2) Serial Number: 1 (0x1) ... -----BEGIN CERTIFICATE----- MIID4DCCAsigAwIBAgIBATANBgkqhkiG9w0BAQUFADBWMQswCQYDVQQGEwJBVTET MBEGA1UECBMKU29tZS1TdGF0ZTEhMB8GA1UEChMYSW50ZXJuZXQgV2lkZ2l0cyBQ dHkgTHRkMQ8wDQYDVQQDEwZyb290Y2EwHhcNMTMwMjA0MTA0OTQzWhcNMTQwMjA0 ... -----END CERTIFICATE----- It looks like everything is working fine: # service nginx reload # Reloading nginx configuration: Enter PEM pass phrase: # nginx. # Step 13: Installing *.p12 certificates in browser (Firefox in my case) gives the problem I've mentioned above. Client #1 = 200 OK, Client #2 = 400 Bad request/The SSL certificate error. Any ideas what should I do? Update 1: Results of SSL connection test attempts: # openssl s_client -connect test.local:443 -CAfile ~/pki/rootCA/certs/rootca.crt -cert ~/pki/rootCA/certs/client1.crt -key ~/pki/rootCA/private/client1.key -showcerts Enter pass phrase for tmp/testcert/client1.key: CONNECTED(00000003) depth=1 C = AU, ST = Some-State, O = Internet Widgits Pty Ltd, CN = rootca verify return:1 depth=0 C = AU, ST = Some-State, O = Internet Widgits Pty Ltd, CN = test.local verify return:1 --- Certificate chain 0 s:/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=test.local i:/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca -----BEGIN CERTIFICATE----- MIIDpjCCAo6gAwIBAgIBAjANBgkqhkiG9w0BAQUFADBWMQswCQYDVQQGEwJBVTET MBEGA1UECBMKU29tZS1TdGF0ZTEhMB8GA1UEChMYSW50ZXJuZXQgV2lkZ2l0cyBQ dHkgTHRkMQ8wDQYDVQQDEwZyb290Y2EwHhcNMTMwMjA0MTEwNjAzWhcNMTQwMjA0 ... -----END CERTIFICATE----- 1 s:/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca i:/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca -----BEGIN CERTIFICATE----- MIID6TCCAtGgAwIBAgIJAJ/7VmaN048RMA0GCSqGSIb3DQEBBQUAMFYxCzAJBgNV BAYTAkFVMRMwEQYDVQQIEwpTb21lLVN0YXRlMSEwHwYDVQQKExhJbnRlcm5ldCBX aWRnaXRzIFB0eSBMdGQxDzANBgNVBAMTBnJvb3RjYTAeFw0xMzAyMDQxMDM1NTda ... -----END CERTIFICATE----- --- Server certificate subject=/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=test.local issuer=/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca --- Acceptable client certificate CA names /C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca /C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=subca --- SSL handshake has read 3395 bytes and written 2779 bytes --- New, TLSv1/SSLv3, Cipher is AES256-SHA Server public key is 2048 bit Secure Renegotiation IS supported Compression: zlib compression Expansion: zlib compression SSL-Session: Protocol : TLSv1 Cipher : AES256-SHA Session-ID: 15BFC2029691262542FAE95A48078305E76EEE7D586400F8C4F7C516B0F9D967 Session-ID-ctx: Master-Key: 23246CF166E8F3900793F0A2561879E5DB07291F32E99591BA1CF53E6229491FEAE6858BFC9AACAF271D9C3706F139C7 Key-Arg : None PSK identity: None PSK identity hint: None SRP username: None TLS session ticket: 0000 - c2 5e 1d d2 b5 6d 40 23-b2 40 89 e4 35 75 70 07 .^...m@#[email protected]. 0010 - 1b bb 2b e6 e0 b5 ab 10-10 bf 46 6e aa 67 7f 58 ..+.......Fn.g.X 0020 - cf 0e 65 a4 67 5a 15 ba-aa 93 4e dd 3d 6e 73 4c ..e.gZ....N.=nsL 0030 - c5 56 f6 06 24 0f 48 e6-38 36 de f1 b5 31 c5 86 .V..$.H.86...1.. ... 0440 - 4c 53 39 e3 92 84 d2 d0-e5 e2 f5 8a 6a a8 86 b1 LS9.........j... Compression: 1 (zlib compression) Start Time: 1359989684 Timeout : 300 (sec) Verify return code: 0 (ok) --- Everything seems fine with Client #2 and root CA certificate but request returns 400 Bad Request error: # openssl s_client -connect test.local:443 -CAfile ~/pki/rootCA/certs/rootca.crt -cert ~/pki/subCA/certs/client2.crt -key ~/pki/subCA/private/client2.key -showcerts Enter pass phrase for tmp/testcert/client2.key: CONNECTED(00000003) depth=1 C = AU, ST = Some-State, O = Internet Widgits Pty Ltd, CN = rootca verify return:1 depth=0 C = AU, ST = Some-State, O = Internet Widgits Pty Ltd, CN = test.local verify return:1 ... Compression: 1 (zlib compression) Start Time: 1359989989 Timeout : 300 (sec) Verify return code: 0 (ok) --- GET / HTTP/1.0 HTTP/1.1 400 Bad Request Server: nginx/0.7.67 Date: Mon, 04 Feb 2013 15:00:43 GMT Content-Type: text/html Content-Length: 231 Connection: close <html> <head><title>400 The SSL certificate error</title></head> <body bgcolor="white"> <center><h1>400 Bad Request</h1></center> <center>The SSL certificate error</center> <hr><center>nginx/0.7.67</center> </body> </html> closed Verification fails with Client #2 certificate and subordinate CA certificate: # openssl s_client -connect test.local:443 -CAfile ~/pki/subCA/certs/subca.crt -cert ~/pki/subCA/certs/client2.crt -key ~/pki/subCA/private/client2.key -showcerts Enter pass phrase for tmp/testcert/client2.key: CONNECTED(00000003) depth=1 C = AU, ST = Some-State, O = Internet Widgits Pty Ltd, CN = rootca verify error:num=19:self signed certificate in certificate chain verify return:0 ... Compression: 1 (zlib compression) Start Time: 1359990354 Timeout : 300 (sec) Verify return code: 19 (self signed certificate in certificate chain) --- GET / HTTP/1.0 HTTP/1.1 400 Bad Request ... Still getting 400 Bad Request error with concatenated CA certificates and Client #2 (but still everything ok with Client #1): # cat certs/rootca.crt ../subCA/certs/subca.crt > certs/concatenatedca.crt # openssl s_client -connect test.local:443 -CAfile ~/pki/rootCA/certs/concatenatedca.crt -cert ~/pki/subCA/certs/client2.crt -key ~/pki/subCA/private/client2.key -showcerts Enter pass phrase for tmp/testcert/client2.key: CONNECTED(00000003) depth=1 C = AU, ST = Some-State, O = Internet Widgits Pty Ltd, CN = rootca verify return:1 depth=0 C = AU, ST = Some-State, O = Internet Widgits Pty Ltd, CN = test.local verify return:1 --- ... Compression: 1 (zlib compression) Start Time: 1359990772 Timeout : 300 (sec) Verify return code: 0 (ok) --- GET / HTTP/1.0 HTTP/1.1 400 Bad Request ... Update 2: I've managed to recompile nginx with enabled debug. Here is the part of successfull conection by Client #1 track: 2013/02/05 14:08:23 [debug] 38701#0: *119 accept: <MY IP ADDRESS> fd:3 2013/02/05 14:08:23 [debug] 38701#0: *119 event timer add: 3: 60000:2856497512 2013/02/05 14:08:23 [debug] 38701#0: *119 kevent set event: 3: ft:-1 fl:0025 2013/02/05 14:08:23 [debug] 38701#0: *119 malloc: 28805200:660 2013/02/05 14:08:23 [debug] 38701#0: *119 malloc: 28834400:1024 2013/02/05 14:08:23 [debug] 38701#0: *119 posix_memalign: 28860000:4096 @16 2013/02/05 14:08:23 [debug] 38701#0: *119 http check ssl handshake 2013/02/05 14:08:23 [debug] 38701#0: *119 https ssl handshake: 0x16 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL server name: "test.local" 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_do_handshake: -1 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_get_error: 2 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL handshake handler: 0 2013/02/05 14:08:23 [debug] 38701#0: *119 verify:1, error:0, depth:1, subject:"/C=AU /ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca",issuer: "/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca" 2013/02/05 14:08:23 [debug] 38701#0: *119 verify:1, error:0, depth:0, subject:"/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=Client #1",issuer: "/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca" 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_do_handshake: 1 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL: TLSv1, cipher: "AES256-SHA SSLv3 Kx=RSA Au=RSA Enc=AES(256) Mac=SHA1" 2013/02/05 14:08:23 [debug] 38701#0: *119 http process request line 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_read: -1 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_get_error: 2 2013/02/05 14:08:23 [debug] 38701#0: *119 http process request line 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_read: 1 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_read: 524 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_read: -1 2013/02/05 14:08:23 [debug] 38701#0: *119 SSL_get_error: 2 2013/02/05 14:08:23 [debug] 38701#0: *119 http request line: "GET / HTTP/1.1" And here is the part of unsuccessfull conection by Client #2 track: 2013/02/05 13:51:34 [debug] 38701#0: *112 accept: <MY_IP_ADDRESS> fd:3 2013/02/05 13:51:34 [debug] 38701#0: *112 event timer add: 3: 60000:2855488975 2013/02/05 13:51:34 [debug] 38701#0: *112 kevent set event: 3: ft:-1 fl:0025 2013/02/05 13:51:34 [debug] 38701#0: *112 malloc: 28805200:660 2013/02/05 13:51:34 [debug] 38701#0: *112 malloc: 28834400:1024 2013/02/05 13:51:34 [debug] 38701#0: *112 posix_memalign: 28860000:4096 @16 2013/02/05 13:51:34 [debug] 38701#0: *112 http check ssl handshake 2013/02/05 13:51:34 [debug] 38701#0: *112 https ssl handshake: 0x16 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL server name: "test.local" 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_do_handshake: -1 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_get_error: 2 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL handshake handler: 0 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_do_handshake: -1 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_get_error: 2 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL handshake handler: 0 2013/02/05 13:51:34 [debug] 38701#0: *112 verify:0, error:20, depth:1, subject:"/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=subca",issuer: "/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca" 2013/02/05 13:51:34 [debug] 38701#0: *112 verify:0, error:27, depth:1, subject:"/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=subca",issuer: "/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=rootca" 2013/02/05 13:51:34 [debug] 38701#0: *112 verify:1, error:27, depth:0, subject:"/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=Client #2",issuer: "/C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=subca" 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_do_handshake: 1 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL: TLSv1, cipher: "AES256-SHA SSLv3 Kx=RSA Au=RSA Enc=AES(256) Mac=SHA1" 2013/02/05 13:51:34 [debug] 38701#0: *112 http process request line 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_read: 1 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_read: 524 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_read: -1 2013/02/05 13:51:34 [debug] 38701#0: *112 SSL_get_error: 2 2013/02/05 13:51:34 [debug] 38701#0: *112 http request line: "GET / HTTP/1.1" So I'm getting OpenSSL error #20 and then #27. According to verify documentation: 20 X509_V_ERR_UNABLE_TO_GET_ISSUER_CERT_LOCALLY: unable to get local issuer certificate the issuer certificate could not be found: this occurs if the issuer certificate of an untrusted certificate cannot be found. 27 X509_V_ERR_CERT_UNTRUSTED: certificate not trusted the root CA is not marked as trusted for the specified purpose.

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  • Windows Azure Evolution &ndash; Welcome to VS2012

    - by Shaun
    When the Microsoft released the first preview version of Windows 8 and Visual Studio, many people in the community were asking if the windows azure tool is available to it. The answer was “NO”. Microsoft promised that the windows azure tool will only support the Visual Studio 2010 but when the 2012 was final released, windows azure tool should be work. But now alone with the new windows azure platform was published we got the latest Windows Azure SDK 1.7, which is compatible to the Visual Studio 2012 RC.   You can retrieve the latest version of the Windows Azure SDK through Web Platform Installer, which I think it’s the easiest and simplest way to download and install, since besides the SDK itself it also needs some other components. To download the latest windows azure SDK from Web Platform Installer, just go to the windows azure website and clicked the Develop, .NET and click the blue “install” button. Then you need to select which version of Visual Studio you want to use, Visual Studio 2010 or Visual Studio 2012 RC. After selected the current version you will download an EXE file. This file will lead you to install the Web Platform Installer 4.0 (if you haven’t installed) and the latest windows azure SDK. You can see the version name is June 2012, 1.7. Finally the WebPI will detect the dependent components you need to download and begin to install. But if you want to challenge yourself you can download the components and install them manually. The standalone installations are listed in this page with the instruction on how to install them with necessary pre-requirements.   Once you finished the installation you can open the Visual Studio 2012 RC and as usual, it need to be run as administrator. If you clicked the New Project link from the start page, navigated to Cloud category you will find that there no project template available. Is there anything wrong? So, if you changed the target framework from the default .NET 4.5 to .NET 4 you will see the azure project template. This is because, currently the windows azure instance does not support .NET 4.5. After clicked OK you will see the role creation window, which is similar as what you have seen before. But there are some new role templates in this SDK. Firstly you will have ASP.NET MVC 4 web role available, which means you can create ASP.NET MVC 4 applications for internet, intranet, mobile and WebAPI on the cloud. Then there are two new worker role templates, “Cache Worker Role” and “Worker Role with Service Bus Queue”. “Worker Role with Service Bus Queue” is a worker role which had added necessary references to access the Windows Azure Service Bus Queue. It also have some basic sample code in the worker role class which could read messages from the queue when started. The “Cache Worker Role” is a worker role which has the in-memory distributed cache feature enabled by default. This feature is different than the Windows Azure Caching. It allows the role instance to use its memory as a in-memory distributed cache clusters. By using this feature you can have one or more worker roles as some dedicate cache clusters. Alternatively, you can make part of your web role and worker role’s memory as the cache clusters as well. Let’s just create an ASP.NET MVC 4 Web Role, and click F5 to run it under the local emulator. If you have been working with azure for a while you should know that I need to setup the local storage emulator before running locally if it’s a fresh azure SDK installation. But in this version when we started our azure project the Visual Studio will check if the storage emulator had been initialized. If not, it will run the initializer automatically. And as you can see, in this version the storage emulator relies on the SQL Server 2012 Local DB feature. It will create the emulator database and tables in the default local database. You can set the storage emulator to use a standard SQL Server default instance by using the command “dsinit /instance:.”. The “dsinit” tool now is located at %PROGRAM FILES%\Microsoft SDKs\Windows Azure\Emulator\devstore After the Visual Studio complied and deployed the package our website should be shown in the browser. This is the MVC 4 Web Role home page on my Windows 8 machine in IE10. Another thing you might notice is that, in this version the compute emulator utilizes IIS Express to host the web roles instead of the full IIS. You can add breakpoint in the code and debug, and you can use the local storage emulator to test your code for accessing the storage service. All of them are same as what your are doing now on SDK 1.6. You can switch to use IIS to run your web role in local emulator. Just open the windows azure porject property windows, in the Web page select “Use IIS Web Server”. For more information about this please have a look on Nuno’s blog post. In the role property page in Visual Studio there’s no massive changes. You can configure your role settings such as the endpoints, certificates and local storage, etc.. One thing was added is the Caching tab. Here you can specify enable the caching feature or not, and how much memory you want to use as the cache cluster. I will introduce more details about it in the future posts. The publish and package feature are also no change. You can publish your project to azure directly through Visual Studio 2012, while you can create the package and upload manually. Below is the SDK version of my deployment which is 1.7.30602.1703 in the developer portal.   Summary In this post I introduced about the new Windows Azure SDK 1.7 especially on how it works on the latest Visual Studio 2012 RC. There’s no significant changes in the visual studio tool in this version but some small enhancement such as ASP.NET MVC 4, Cache Worker Role, using SQL 2012 Local DB and IIS Express, etc..   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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  • Currency Conversion in Oracle BI applications

    - by Saurabh Verma
    Authored by Vijay Aggarwal and Hichem Sellami A typical data warehouse contains Star and/or Snowflake schema, made up of Dimensions and Facts. The facts store various numerical information including amounts. Example; Order Amount, Invoice Amount etc. With the true global nature of business now-a-days, the end-users want to view the reports in their own currency or in global/common currency as defined by their business. This presents a unique opportunity in BI to provide the amounts in converted rates either by pre-storing or by doing on-the-fly conversions while displaying the reports to the users. Source Systems OBIA caters to various source systems like EBS, PSFT, Sebl, JDE, Fusion etc. Each source has its own unique and intricate ways of defining and storing currency data, doing currency conversions and presenting to the OLTP users. For example; EBS stores conversion rates between currencies which can be classified by conversion rates, like Corporate rate, Spot rate, Period rate etc. Siebel stores exchange rates by conversion rates like Daily. EBS/Fusion stores the conversion rates for each day, where as PSFT/Siebel store for a range of days. PSFT has Rate Multiplication Factor and Rate Division Factor and we need to calculate the Rate based on them, where as other Source systems store the Currency Exchange Rate directly. OBIA Design The data consolidation from various disparate source systems, poses the challenge to conform various currencies, rate types, exchange rates etc., and designing the best way to present the amounts to the users without affecting the performance. When consolidating the data for reporting in OBIA, we have designed the mechanisms in the Common Dimension, to allow users to report based on their required currencies. OBIA Facts store amounts in various currencies: Document Currency: This is the currency of the actual transaction. For a multinational company, this can be in various currencies. Local Currency: This is the base currency in which the accounting entries are recorded by the business. This is generally defined in the Ledger of the company. Global Currencies: OBIA provides five Global Currencies. Three are used across all modules. The last two are for CRM only. A Global currency is very useful when creating reports where the data is viewed enterprise-wide. Example; a US based multinational would want to see the reports in USD. The company will choose USD as one of the global currencies. OBIA allows users to define up-to five global currencies during the initial implementation. The term Currency Preference is used to designate the set of values: Document Currency, Local Currency, Global Currency 1, Global Currency 2, Global Currency 3; which are shared among all modules. There are four more currency preferences, specific to certain modules: Global Currency 4 (aka CRM Currency) and Global Currency 5 which are used in CRM; and Project Currency and Contract Currency, used in Project Analytics. When choosing Local Currency for Currency preference, the data will show in the currency of the Ledger (or Business Unit) in the prompt. So it is important to select one Ledger or Business Unit when viewing data in Local Currency. More on this can be found in the section: Toggling Currency Preferences in the Dashboard. Design Logic When extracting the fact data, the OOTB mappings extract and load the document amount, and the local amount in target tables. It also loads the exchange rates required to convert the document amount into the corresponding global amounts. If the source system only provides the document amount in the transaction, the extract mapping does a lookup to get the Local currency code, and the Local exchange rate. The Load mapping then uses the local currency code and rate to derive the local amount. The load mapping also fetches the Global Currencies and looks up the corresponding exchange rates. The lookup of exchange rates is done via the Exchange Rate Dimension provided as a Common/Conforming Dimension in OBIA. The Exchange Rate Dimension stores the exchange rates between various currencies for a date range and Rate Type. Two physical tables W_EXCH_RATE_G and W_GLOBAL_EXCH_RATE_G are used to provide the lookups and conversions between currencies. The data is loaded from the source system’s Ledger tables. W_EXCH_RATE_G stores the exchange rates between currencies with a date range. On the other hand, W_GLOBAL_EXCH_RATE_G stores the currency conversions between the document currency and the pre-defined five Global Currencies for each day. Based on the requirements, the fact mappings can decide and use one or both tables to do the conversion. Currency design in OBIA also taps into the MLS and Domain architecture, thus allowing the users to map the currencies to a universal Domain during the implementation time. This is especially important for companies deploying and using OBIA with multiple source adapters. Some Gotchas to Look for It is necessary to think through the currencies during the initial implementation. 1) Identify various types of currencies that are used by your business. Understand what will be your Local (or Base) and Documentation currency. Identify various global currencies that your users will want to look at the reports. This will be based on the global nature of your business. Changes to these currencies later in the project, while permitted, but may cause Full data loads and hence lost time. 2) If the user has a multi source system make sure that the Global Currencies and Global Rate Types chosen in Configuration Manager do have the corresponding source specific counterparts. In other words, make sure for every DW specific value chosen for Currency Code or Rate Type, there is a source Domain mapping already done. Technical Section This section will briefly mention the technical scenarios employed in the OBIA adaptors to extract data from each source system. In OBIA, we have two main tables which store the Currency Rate information as explained in previous sections. W_EXCH_RATE_G and W_GLOBAL_EXCH_RATE_G are the two tables. W_EXCH_RATE_G stores all the Currency Conversions present in the source system. It captures data for a Date Range. W_GLOBAL_EXCH_RATE_G has Global Currency Conversions stored at a Daily level. However the challenge here is to store all the 5 Global Currency Exchange Rates in a single record for each From Currency. Let’s voyage further into the Source System Extraction logic for each of these tables and understand the flow briefly. EBS: In EBS, we have Currency Data stored in GL_DAILY_RATES table. As the name indicates GL_DAILY_RATES EBS table has data at a daily level. However in our warehouse we store the data with a Date Range and insert a new range record only when the Exchange Rate changes for a particular From Currency, To Currency and Rate Type. Below are the main logical steps that we employ in this process. (Incremental Flow only) – Cleanup the data in W_EXCH_RATE_G. Delete the records which have Start Date > minimum conversion date Update the End Date of the existing records. Compress the daily data from GL_DAILY_RATES table into Range Records. Incremental map uses $$XRATE_UPD_NUM_DAY as an extra parameter. Generate Previous Rate, Previous Date and Next Date for each of the Daily record from the OLTP. Filter out the records which have Conversion Rate same as Previous Rates or if the Conversion Date lies within a single day range. Mark the records as ‘Keep’ and ‘Filter’ and also get the final End Date for the single Range record (Unique Combination of From Date, To Date, Rate and Conversion Date). Filter the records marked as ‘Filter’ in the INFA map. The above steps will load W_EXCH_RATE_GS. Step 0 updates/deletes W_EXCH_RATE_G directly. SIL map will then insert/update the GS data into W_EXCH_RATE_G. These steps convert the daily records in GL_DAILY_RATES to Range records in W_EXCH_RATE_G. We do not need such special logic for loading W_GLOBAL_EXCH_RATE_G. This is a table where we store data at a Daily Granular Level. However we need to pivot the data because the data present in multiple rows in source tables needs to be stored in different columns of the same row in DW. We use GROUP BY and CASE logic to achieve this. Fusion: Fusion has extraction logic very similar to EBS. The only difference is that the Cleanup logic that was mentioned in step 0 above does not use $$XRATE_UPD_NUM_DAY parameter. In Fusion we bring all the Exchange Rates in Incremental as well and do the cleanup. The SIL then takes care of Insert/Updates accordingly. PeopleSoft:PeopleSoft does not have From Date and To Date explicitly in the Source tables. Let’s look at an example. Please note that this is achieved from PS1 onwards only. 1 Jan 2010 – USD to INR – 45 31 Jan 2010 – USD to INR – 46 PSFT stores records in above fashion. This means that Exchange Rate of 45 for USD to INR is applicable for 1 Jan 2010 to 30 Jan 2010. We need to store data in this fashion in DW. Also PSFT has Exchange Rate stored as RATE_MULT and RATE_DIV. We need to do a RATE_MULT/RATE_DIV to get the correct Exchange Rate. We generate From Date and To Date while extracting data from source and this has certain assumptions: If a record gets updated/inserted in the source, it will be extracted in incremental. Also if this updated/inserted record is between other dates, then we also extract the preceding and succeeding records (based on dates) of this record. This is required because we need to generate a range record and we have 3 records whose ranges have changed. Taking the same example as above, if there is a new record which gets inserted on 15 Jan 2010; the new ranges are 1 Jan to 14 Jan, 15 Jan to 30 Jan and 31 Jan to Next available date. Even though 1 Jan record and 31 Jan have not changed, we will still extract them because the range is affected. Similar logic is used for Global Exchange Rate Extraction. We create the Range records and get it into a Temporary table. Then we join to Day Dimension, create individual records and pivot the data to get the 5 Global Exchange Rates for each From Currency, Date and Rate Type. Siebel: Siebel Facts are dependent on Global Exchange Rates heavily and almost none of them really use individual Exchange Rates. In other words, W_GLOBAL_EXCH_RATE_G is the main table used in Siebel from PS1 release onwards. As of January 2002, the Euro Triangulation method for converting between currencies belonging to EMU members is not needed for present and future currency exchanges. However, the method is still available in Siebel applications, as are the old currencies, so that historical data can be maintained accurately. The following description applies only to historical data needing conversion prior to the 2002 switch to the Euro for the EMU member countries. If a country is a member of the European Monetary Union (EMU), you should convert its currency to other currencies through the Euro. This is called triangulation, and it is used whenever either currency being converted has EMU Triangulation checked. Due to this, there are multiple extraction flows in SEBL ie. EUR to EMU, EUR to NonEMU, EUR to DMC and so on. We load W_EXCH_RATE_G through multiple flows with these data. This has been kept same as previous versions of OBIA. W_GLOBAL_EXCH_RATE_G being a new table does not have such needs. However SEBL does not have From Date and To Date columns in the Source tables similar to PSFT. We use similar extraction logic as explained in PSFT section for SEBL as well. What if all 5 Global Currencies configured are same? As mentioned in previous sections, from PS1 onwards we store Global Exchange Rates in W_GLOBAL_EXCH_RATE_G table. The extraction logic for this table involves Pivoting data from multiple rows into a single row with 5 Global Exchange Rates in 5 columns. As mentioned in previous sections, we use CASE and GROUP BY functions to achieve this. This approach poses a unique problem when all the 5 Global Currencies Chosen are same. For example – If the user configures all 5 Global Currencies as ‘USD’ then the extract logic will not be able to generate a record for From Currency=USD. This is because, not all Source Systems will have a USD->USD conversion record. We have _Generated mappings to take care of this case. We generate a record with Conversion Rate=1 for such cases. Reusable Lookups Before PS1, we had a Mapplet for Currency Conversions. In PS1, we only have reusable Lookups- LKP_W_EXCH_RATE_G and LKP_W_GLOBAL_EXCH_RATE_G. These lookups have another layer of logic so that all the lookup conditions are met when they are used in various Fact Mappings. Any user who would want to do a LKP on W_EXCH_RATE_G or W_GLOBAL_EXCH_RATE_G should and must use these Lookups. A direct join or Lookup on the tables might lead to wrong data being returned. Changing Currency preferences in the Dashboard: In the 796x series, all amount metrics in OBIA were showing the Global1 amount. The customer needed to change the metric definitions to show them in another Currency preference. Project Analytics started supporting currency preferences since 7.9.6 release though, and it published a Tech note for other module customers to add toggling between currency preferences to the solution. List of Currency Preferences Starting from 11.1.1.x release, the BI Platform added a new feature to support multiple currencies. The new session variable (PREFERRED_CURRENCY) is populated through a newly introduced currency prompt. This prompt can take its values from the xml file: userpref_currencies_OBIA.xml, which is hosted in the BI Server installation folder, under :< home>\instances\instance1\config\OracleBIPresentationServicesComponent\coreapplication_obips1\userpref_currencies.xml This file contains the list of currency preferences, like“Local Currency”, “Global Currency 1”,…which customers can also rename to give them more meaningful business names. There are two options for showing the list of currency preferences to the user in the dashboard: Static and Dynamic. In Static mode, all users will see the full list as in the user preference currencies file. In the Dynamic mode, the list shown in the currency prompt drop down is a result of a dynamic query specified in the same file. Customers can build some security into the rpd, so the list of currency preferences will be based on the user roles…BI Applications built a subject area: “Dynamic Currency Preference” to run this query, and give every user only the list of currency preferences required by his application roles. Adding Currency to an Amount Field When the user selects one of the items from the currency prompt, all the amounts in that page will show in the Currency corresponding to that preference. For example, if the user selects “Global Currency1” from the prompt, all data will be showing in Global Currency 1 as specified in the Configuration Manager. If the user select “Local Currency”, all amount fields will show in the Currency of the Business Unit selected in the BU filter of the same page. If there is no particular Business Unit selected in that filter, and the data selected by the query contains amounts in more than one currency (for example one BU has USD as a functional currency, the other has EUR as functional currency), then subtotals will not be available (cannot add USD and EUR amounts in one field), and depending on the set up (see next paragraph), the user may receive an error. There are two ways to add the Currency field to an amount metric: In the form of currency code, like USD, EUR…For this the user needs to add the field “Apps Common Currency Code” to the report. This field is in every subject area, usually under the table “Currency Tag” or “Currency Code”… In the form of currency symbol ($ for USD, € for EUR,…) For this, the user needs to format the amount metrics in the report as a currency column, by specifying the currency tag column in the Column Properties option in Column Actions drop down list. Typically this column should be the “BI Common Currency Code” available in every subject area. Select Column Properties option in the Edit list of a metric. In the Data Format tab, select Custom as Treat Number As. Enter the following syntax under Custom Number Format: [$:currencyTagColumn=Subjectarea.table.column] Where Column is the “BI Common Currency Code” defined to take the currency code value based on the currency preference chosen by the user in the Currency preference prompt.

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  • Pre-rentrée Oracle Open World 2012 : à vos agendas

    - by Eric Bezille
    A maintenant moins d'un mois de l’événement majeur d'Oracle, qui se tient comme chaque année à San Francisco, fin septembre, début octobre, les spéculations vont bon train sur les annonces qui vont y être dévoilées... Et sans lever le voile, je vous engage à prendre connaissance des sujets des "Key Notes" qui seront tenues par Larry Ellison, Mark Hurd, Thomas Kurian (responsable des développements logiciels) et John Fowler (responsable des développements systèmes) afin de vous donner un avant goût. Stratégie et Roadmaps Oracle Bien entendu, au-delà des séances plénières qui vous donnerons  une vision précise de la stratégie, et pour ceux qui seront sur place, je vous engage à ne pas manquer les séances d'approfondissement qui auront lieu dans la semaine, dont voici quelques morceaux choisis : "Accelerate your Business with the Oracle Hardware Advantage" avec John Fowler, le lundi 1er Octobre, 3:15pm-4:15pm "Why Oracle Softwares Runs Best on Oracle Hardware" , avec Bradley Carlile, le responsable des Benchmarks, le lundi 1er Octobre, 12:15pm-13:15pm "Engineered Systems - from Vision to Game-changing Results", avec Robert Shimp, le lundi 1er Octobre 1:45pm-2:45pm "Database and Application Consolidation on SPARC Supercluster", avec Hugo Rivero, responsable dans les équipes d'intégration matériels et logiciels, le lundi 1er Octobre, 4:45pm-5:45pm "Oracle’s SPARC Server Strategy Update", avec Masood Heydari, responsable des développements serveurs SPARC, le mardi 2 Octobre, 10:15am - 11:15am "Oracle Solaris 11 Strategy, Engineering Insights, and Roadmap", avec Markus Flier, responsable des développements Solaris, le mercredi 3 Octobre, 10:15am - 11:15am "Oracle Virtualization Strategy and Roadmap", avec Wim Coekaerts, responsable des développement Oracle VM et Oracle Linux, le lundi 1er Octobre, 12:15pm-1:15pm "Big Data: The Big Story", avec Jean-Pierre Dijcks, responsable du développement produits Big Data, le lundi 1er Octobre, 3:15pm-4:15pm "Scaling with the Cloud: Strategies for Storage in Cloud Deployments", avec Christine Rogers,  Principal Product Manager, et Chris Wood, Senior Product Specialist, Stockage , le lundi 1er Octobre, 10:45am-11:45am Retours d'expériences et témoignages Si Oracle Open World est l'occasion de partager avec les équipes de développement d'Oracle en direct, c'est aussi l'occasion d'échanger avec des clients et experts qui ont mis en oeuvre  nos technologies pour bénéficier de leurs retours d'expériences, comme par exemple : "Oracle Optimized Solution for Siebel CRM at ACCOR", avec les témoignages d'Eric Wyttynck, directeur IT Multichannel & CRM  et Pascal Massenet, VP Loyalty & CRM systems, sur les bénéfices non seulement métiers, mais également projet et IT, le mercredi 3 Octobre, 1:15pm-2:15pm "Tips from AT&T: Oracle E-Business Suite, Oracle Database, and SPARC Enterprise", avec le retour d'expérience des experts Oracle, le mardi 2 Octobre, 11:45am-12:45pm "Creating a Maximum Availability Architecture with SPARC SuperCluster", avec le témoignage de Carte Wright, Database Engineer à CKI, le mercredi 3 Octobre, 11:45am-12:45pm "Multitenancy: Everybody Talks It, Oracle Walks It with Pillar Axiom Storage", avec le témoignage de Stephen Schleiger, Manager Systems Engineering de Navis, le lundi 1er Octobre, 1:45pm-2:45pm "Oracle Exadata for Database Consolidation: Best Practices", avec le retour d'expérience des experts Oracle ayant participé à la mise en oeuvre d'un grand client du monde bancaire, le lundi 1er Octobre, 4:45pm-5:45pm "Oracle Exadata Customer Panel: Packaged Applications with Oracle Exadata", animé par Tim Shetler, VP Product Management, mardi 2 Octobre, 1:15pm-2:15pm "Big Data: Improving Nearline Data Throughput with the StorageTek SL8500 Modular Library System", avec le témoignage du CTO de CSC, Alan Powers, le jeudi 4 Octobre, 12:45pm-1:45pm "Building an IaaS Platform with SPARC, Oracle Solaris 11, and Oracle VM Server for SPARC", avec le témoignage de Syed Qadri, Lead DBA et Michael Arnold, System Architect d'US Cellular, le mardi 2 Octobre, 10:15am-11:15am "Transform Data Center TCO with Oracle Optimized Servers: A Customer Panel", avec les témoignages notamment d'AT&T et Liberty Global, le mardi 2 Octobre, 11:45am-12:45pm "Data Warehouse and Big Data Customers’ View of the Future", avec The Nielsen Company US, Turkcell, GE Retail Finance, Allianz Managed Operations and Services SE, le lundi 1er Octobre, 4:45pm-5:45pm "Extreme Storage Scale and Efficiency: Lessons from a 100,000-Person Organization", le témoignage de l'IT interne d'Oracle sur la transformation et la migration de l'ensemble de notre infrastructure de stockage, mardi 2 Octobre, 1:15pm-2:15pm Echanges avec les groupes d'utilisateurs et les équipes de développement Oracle Si vous avez prévu d'arriver suffisamment tôt, vous pourrez également échanger dès le dimanche avec les groupes d'utilisateurs, ou tous les soirs avec les équipes de développement Oracle sur des sujets comme : "To Exalogic or Not to Exalogic: An Architectural Journey", avec Todd Sheetz - Manager of DBA and Enterprise Architecture, Veolia Environmental Services, le dimanche 30 Septembre, 2:30pm-3:30pm "Oracle Exalytics and Oracle TimesTen for Exalytics Best Practices", avec Mark Rittman, de Rittman Mead Consulting Ltd, le dimanche 30 Septembre, 10:30am-11:30am "Introduction of Oracle Exadata at Telenet: Bringing BI to Warp Speed", avec Rudy Verlinden & Eric Bartholomeus - Managers IT infrastructure à Telenet, le dimanche 30 Septembre, 1:15pm-2:00pm "The Perfect Marriage: Sun ZFS Storage Appliance with Oracle Exadata", avec Melanie Polston, directeur, Data Management, de Novation et Charles Kim, Managing Director de Viscosity, le dimanche 30 Septembre, 9:00am-10am "Oracle’s Big Data Solutions: NoSQL, Connectors, R, and Appliance Technologies", avec Jean-Pierre Dijcks et les équipes de développement Oracle, le lundi 1er Octobre, 6:15pm-7:00pm Testez et évaluez les solutions Et pour finir, vous pouvez même tester les technologies au travers du Oracle DemoGrounds, (1133 Moscone South pour la partie Systèmes Oracle, OS, et Virtualisation) et des "Hands-on-Labs", comme : "Deploying an IaaS Environment with Oracle VM", le mardi 2 Octobre, 10:15am-11:15am "Virtualize and Deploy Oracle Applications in Minutes with Oracle VM: Hands-on Lab", le mardi 2 Octobre, 11:45am-12:45pm (il est fortement conseillé d'avoir suivi le "Hands-on-Labs" précédent avant d'effectuer ce Lab. "x86 Enterprise Cloud Infrastructure with Oracle VM 3.x and Sun ZFS Storage Appliance", le mercredi 3 Octobre, 5:00pm-6:00pm "StorageTek Tape Analytics: Managing Tape Has Never Been So Simple", le mercredi 3 Octobre, 1:15pm-2:15pm "Oracle’s Pillar Axiom 600 Storage System: Power and Ease", le lundi 1er Octobre, 12:15pm-1:15pm "Enterprise Cloud Infrastructure for SPARC with Oracle Enterprise Manager Ops Center 12c", le lundi 1er Octobre, 1:45pm-2:45pm "Managing Storage in the Cloud", le mardi 2 Octobre, 5:00pm-6:00pm "Learn How to Write MapReduce on Oracle’s Big Data Platform", le lundi 1er Octobre, 12:15pm-1:15pm "Oracle Big Data Analytics and R", le mardi 2 Octobre, 1:15pm-2:15pm "Reduce Risk with Oracle Solaris Access Control to Restrain Users and Isolate Applications", le lundi 1er Octobre, 10:45am-11:45am "Managing Your Data with Built-In Oracle Solaris ZFS Data Services in Release 11", le lundi 1er Octobre, 4:45pm-5:45pm "Virtualizing Your Oracle Solaris 11 Environment", le mardi 2 Octobre, 1:15pm-2:15pm "Large-Scale Installation and Deployment of Oracle Solaris 11", le mercredi 3 Octobre, 3:30pm-4:30pm En conclusion, une semaine très riche en perspective, et qui vous permettra de balayer l'ensemble des sujets au coeur de vos préoccupations, de la stratégie à l'implémentation... Cette semaine doit se préparer, pour tailler votre agenda sur mesure, à travers les plus de 2000 sessions dont je ne vous ai fait qu'un extrait, et dont vous pouvez retrouver l'ensemble en ligne.

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  • ORDER BY job failed in the Pig script while running EmbeddedPig using Java

    - by C.c. Huang
    I have this following pig script, which works perfectly using grunt shell (stored the results to HDFS without any issues); however, the last job (ORDER BY) failed if I ran the same script using Java EmbeddedPig. If I replace the ORDER BY job by others, such as GROUP or FOREACH GENERATE, the whole script then succeeded in Java EmbeddedPig. So I think it's the ORDER BY which causes the issue. Anyone has any experience with this? Any help would be appreciated! The Pig script: REGISTER pig-udf-0.0.1-SNAPSHOT.jar; user_similarity = LOAD '/tmp/sample-sim-score-results-31/part-r-00000' USING PigStorage('\t') AS (user_id: chararray, sim_user_id: chararray, basic_sim_score: float, alt_sim_score: float); simplified_user_similarity = FOREACH user_similarity GENERATE $0 AS user_id, $1 AS sim_user_id, $2 AS sim_score; grouped_user_similarity = GROUP simplified_user_similarity BY user_id; ordered_user_similarity = FOREACH grouped_user_similarity { sorted = ORDER simplified_user_similarity BY sim_score DESC; top = LIMIT sorted 10; GENERATE group, top; }; top_influencers = FOREACH ordered_user_similarity GENERATE com.aol.grapevine.similarity.pig.udf.AssignPointsToTopInfluencer($1, 10); all_influence_scores = FOREACH top_influencers GENERATE FLATTEN($0); grouped_influence_scores = GROUP all_influence_scores BY bag_of_topSimUserTuples::user_id; influence_scores = FOREACH grouped_influence_scores GENERATE group AS user_id, SUM(all_influence_scores.bag_of_topSimUserTuples::points) AS influence_score; ordered_influence_scores = ORDER influence_scores BY influence_score DESC; STORE ordered_influence_scores INTO '/tmp/cc-test-results-1' USING PigStorage(); The error log from Pig: 12/04/05 10:00:56 INFO pigstats.ScriptState: Pig script settings are added to the job 12/04/05 10:00:56 INFO mapReduceLayer.JobControlCompiler: mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3 12/04/05 10:00:58 INFO mapReduceLayer.JobControlCompiler: Setting up single store job 12/04/05 10:00:58 INFO jvm.JvmMetrics: Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized 12/04/05 10:00:58 INFO mapReduceLayer.MapReduceLauncher: 1 map-reduce job(s) waiting for submission. 12/04/05 10:00:58 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 12/04/05 10:00:58 INFO input.FileInputFormat: Total input paths to process : 1 12/04/05 10:00:58 INFO util.MapRedUtil: Total input paths to process : 1 12/04/05 10:00:58 INFO util.MapRedUtil: Total input paths (combined) to process : 1 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Creating tmp-1546565755 in /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134-work-6955502337234509704 with rwxr-xr-x 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Cached hdfs://localhost/tmp/temp1725960134/tmp-1546565755#pigsample_854728855_1333645258470 as /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134/tmp-1546565755 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Cached hdfs://localhost/tmp/temp1725960134/tmp-1546565755#pigsample_854728855_1333645258470 as /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134/tmp-1546565755 12/04/05 10:00:58 WARN mapred.LocalJobRunner: LocalJobRunner does not support symlinking into current working dir. 12/04/05 10:00:58 INFO mapred.TaskRunner: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134/tmp-1546565755 <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/pigsample_854728855_1333645258470 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/.job.jar.crc <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/.job.jar.crc 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/.job.split.crc <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/.job.split.crc 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/.job.splitmetainfo.crc <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/.job.splitmetainfo.crc 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/.job.xml.crc <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/.job.xml.crc 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/job.jar <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/job.jar 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/job.split <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/job.split 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/job.splitmetainfo <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/job.splitmetainfo 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/job.xml <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/job.xml 12/04/05 10:00:59 INFO mapred.Task: Using ResourceCalculatorPlugin : null 12/04/05 10:00:59 INFO mapred.MapTask: io.sort.mb = 100 12/04/05 10:00:59 INFO mapred.MapTask: data buffer = 79691776/99614720 12/04/05 10:00:59 INFO mapred.MapTask: record buffer = 262144/327680 12/04/05 10:00:59 WARN mapred.LocalJobRunner: job_local_0004 java.lang.RuntimeException: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/Users/cchuang/workspace/grapevine-rec/pigsample_854728855_1333645258470 at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.WeightedRangePartitioner.setConf(WeightedRangePartitioner.java:139) at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:62) at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:117) at org.apache.hadoop.mapred.MapTask$NewOutputCollector.<init>(MapTask.java:560) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:639) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:323) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:210) Caused by: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/Users/cchuang/workspace/grapevine-rec/pigsample_854728855_1333645258470 at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:231) at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigFileInputFormat.listStatus(PigFileInputFormat.java:37) at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:248) at org.apache.pig.impl.io.ReadToEndLoader.init(ReadToEndLoader.java:153) at org.apache.pig.impl.io.ReadToEndLoader.<init>(ReadToEndLoader.java:115) at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.WeightedRangePartitioner.setConf(WeightedRangePartitioner.java:112) ... 6 more 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Deleted path /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134/tmp-1546565755 12/04/05 10:00:59 INFO mapReduceLayer.MapReduceLauncher: HadoopJobId: job_local_0004 12/04/05 10:01:04 INFO mapReduceLayer.MapReduceLauncher: job job_local_0004 has failed! Stop running all dependent jobs 12/04/05 10:01:04 INFO mapReduceLayer.MapReduceLauncher: 100% complete 12/04/05 10:01:04 ERROR pigstats.PigStatsUtil: 1 map reduce job(s) failed! 12/04/05 10:01:04 INFO pigstats.PigStats: Script Statistics: HadoopVersion PigVersion UserId StartedAt FinishedAt Features 0.20.2-cdh3u3 0.8.1-cdh3u3 cchuang 2012-04-05 10:00:34 2012-04-05 10:01:04 GROUP_BY,ORDER_BY Some jobs have failed! Stop running all dependent jobs Job Stats (time in seconds): JobId Maps Reduces MaxMapTime MinMapTIme AvgMapTime MaxReduceTime MinReduceTime AvgReduceTime Alias Feature Outputs job_local_0001 0 0 0 0 0 0 0 0 all_influence_scores,grouped_user_similarity,simplified_user_similarity,user_similarity GROUP_BY job_local_0002 0 0 0 0 0 0 0 0 grouped_influence_scores,influence_scores GROUP_BY,COMBINER job_local_0003 0 0 0 0 0 0 0 0 ordered_influence_scores SAMPLER Failed Jobs: JobId Alias Feature Message Outputs job_local_0004 ordered_influence_scores ORDER_BY Message: Job failed! Error - NA /tmp/cc-test-results-1, Input(s): Successfully read 0 records from: "/tmp/sample-sim-score-results-31/part-r-00000" Output(s): Failed to produce result in "/tmp/cc-test-results-1" Counters: Total records written : 0 Total bytes written : 0 Spillable Memory Manager spill count : 0 Total bags proactively spilled: 0 Total records proactively spilled: 0 Job DAG: job_local_0001 -> job_local_0002, job_local_0002 -> job_local_0003, job_local_0003 -> job_local_0004, job_local_0004 12/04/05 10:01:04 INFO mapReduceLayer.MapReduceLauncher: Some jobs have failed! Stop running all dependent jobs

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  • Please help to clean up my RoR development environment

    - by PeterWong
    I started RoR development a few months ago, and being new to Mac... Time flies and now I have a lot different ruby versions, rails versions and gems versions located everywhere......And currently I installed rvm and things got even worst, all things messed! And so I started want to clean all things and use rvm again! I want to uninstall all gems, all rails, and all ruby versions, except the system's default one (the very old one born with the mac). Or any other better solutions or suggestions!? Please help! there is some info that I think will be useful: which -a ruby /opt/local/bin/ruby /opt/local/bin/ruby /usr/local/bin/ruby /usr/bin/ruby /usr/local/bin/ruby which -a rails /usr/local/bin/rails /usr/bin/rails /usr/local/bin/rails which -a compass # simliar for rspec and many other gems /usr/local/bin/compass /usr/local/bin/compass gem list *** LOCAL GEMS *** abstract (1.0.0) actionmailer (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) actionpack (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) activemodel (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2) activerecord (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) activeresource (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) activesupport (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) addressable (2.2.2) arel (2.0.6, 1.0.1, 1.0.0.rc1) authlogic (2.1.6, 2.1.3) aws-s3 (0.6.2) base32 (0.1.2) block_helpers (0.3.3) bluecloth (2.0.9) bowline (0.9.4) bowline-bundler (0.0.4) bson (1.1.2) builder (2.1.2) bundler (1.0.2, 1.0.0) compass (0.10.6) crack (0.1.7) devise (1.1.3) diff-lcs (1.1.2) differ (0.1.1) dynamic_form (1.1.3) engineyard (1.3.1) engineyard-serverside-adapter (1.3.3) erubis (2.6.6) escape (0.0.4) extlib (0.9.15) facebooker (1.0.75) faker (0.3.1) faraday (0.5.3, 0.5.2) fast_gettext (0.5.10, 0.4.17) fastercsv (1.5.3) fastthread (1.0.7) ffi (0.6.3) formatize (1.0.1) formtastic (1.1.0, 1.0.1) gemcutter (0.5.0) gettext (2.1.0) git (1.2.5) gosu (0.7.25 universal-darwin) haml (3.0.24, 3.0.23, 3.0.22, 3.0.21, 3.0.18) haml-rails (0.3.4) heroku (1.10.13, 1.9.13) highline (1.5.2) hirb (0.3.4, 0.3.3) hpricot (0.8.2) i18n (0.5.0, 0.4.2, 0.4.1, 0.3.7) jeweler (1.4.0) json (1.4.6) json_pure (1.4.3) linkedin (0.1.8) locale (2.0.5) mail (2.2.12, 2.2.11, 2.2.10, 2.2.9, 2.2.7, 2.2.6.1) memcache-client (1.8.5) meta_search (0.9.8, 0.9.7.2, 0.9.7.1, 0.9.6, 0.9.4) mime-types (1.16) mongo (1.1.2) mongoid (2.0.0.beta.20) multi_json (0.0.5) multipart-post (1.0.1) mysql (2.8.1) mysql2 (0.2.6, 0.2.4, 0.2.3) net-ldap (0.1.1) nice-ffi (0.4) nokogiri (1.4.4, 1.4.2) oa-basic (0.1.6) oa-core (0.1.6) oa-enterprise (0.1.6) oa-oauth (0.1.6) oa-openid (0.1.6) oauth (0.4.4, 0.4.3, 0.4.1) oauth-plugin (0.4.0.pre1) oauth2 (0.1.0) omniauth (0.1.6) paperclip (2.3.6, 2.3.4, 2.3.1.1) passenger (2.2.12) polyglot (0.3.1) pyu-ruby-sasl (0.0.3.2) querybuilder (0.9.2, 0.5.9) rack (1.2.1, 1.1.0, 1.0.1) rack-cache (0.5.3) rack-cache-purge (0.0.2, 0.0.1) rack-mount (0.6.13) rack-openid (1.2.0) rack-test (0.5.6, 0.5.4) railroady (0.11.2) rails (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) railties (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2) rake (0.8.7) RedCloth (3.0.4) rest-client (1.6.1) roxml (3.1.5) rscribd (1.2.0) rspec (2.3.0, 2.2.0, 2.1.0, 2.0.1) rspec-core (2.3.0, 2.2.1, 2.1.0, 2.0.1) rspec-expectations (2.3.0, 2.2.0, 2.1.0, 2.0.1) rspec-mocks (2.3.0, 2.2.0, 2.1.0, 2.0.1) rspec-rails (2.3.0, 2.2.0, 2.1.0, 2.0.1) ruby-hmac (0.4.0) ruby-mysql (2.9.3) ruby-ole (1.2.10.1) ruby-openid (2.1.8) ruby-openid-apps-discovery (1.2.0) ruby-recaptcha (1.0.2, 1.0.0) ruby-sdl-ffi (0.3) ruby-termios (0.9.6) ruby_parser (2.0.5) rubyforge (2.0.4) rubygame (2.6.4) rubygems-update (1.3.7) rubyless (0.7.0, 0.6.0, 0.3.5) rubyntlm (0.1.1) rubyzip2 (2.0.1) scribd_fu (2.0.6) searchlogic (2.4.27, 2.4.23) sequel (3.16.0, 3.15.0, 3.13.0) sexp_processor (3.0.5) shoulda (2.11.3) sinatra (1.0) slim (0.8.0) slim-rails (0.1.2) spreadsheet (0.6.4.1) sqlite3-ruby (1.3.2, 1.3.1) ssl_requirement (0.1.0) subdomain-fu (1.0.0.beta2, 0.5.4) supermodel (0.1.4) syntax (1.0.0) taps (0.3.13, 0.3.11) templater (1.0.0) temple (0.1.6) text-format (1.0.0) text-hyphen (1.0.0) thor (0.14.6, 0.14.4, 0.14.3, 0.14.1, 0.14.0) tilt (1.1) treetop (1.4.9, 1.4.8) tzinfo (0.3.23) uuidtools (2.1.1, 2.0.0) validates_timeliness (3.0.0.beta.4, 2.3.1) warden (0.10.7) will_paginate (3.0.pre2, 2.3.15, 2.3.14) xml-simple (1.0.12) ya2yaml (0.30) yajl-ruby (0.7.8, 0.7.7) yamltest (0.7.0) zena (0.16.9, 0.16.8) ====== I have ran sudo rvm implode and sudo rm -rf ~/.rvm, so no rvm now. gem env RubyGems Environment: - RUBYGEMS VERSION: 1.3.7 - RUBY VERSION: 1.8.7 (2009-06-12 patchlevel 174) [i686-darwin10.2.0] - INSTALLATION DIRECTORY: /usr/local/lib/ruby/gems/1.8 - RUBY EXECUTABLE: /usr/local/bin/ruby - EXECUTABLE DIRECTORY: /usr/local/bin - RUBYGEMS PLATFORMS: - ruby - x86-darwin-10 - GEM PATHS: - /usr/local/lib/ruby/gems/1.8 - /Users/peter/.gem/ruby/1.8 - GEM CONFIGURATION: - :update_sources => true - :verbose => true - :benchmark => false - :backtrace => false - :bulk_threshold => 1000 - :sources => ["http://rubygems.org/", "http://gems.github.com"] - REMOTE SOURCES: - http://rubygems.org/ - http://gems.github.com === ls -al /usr/local/lib/ total 5704 drwxr-xr-x 7 root wheel 238 Jun 1 2010 . drwxr-xr-x 9 root wheel 306 Dec 15 16:20 .. -rw-r--r-- 1 root wheel 1717208 Jun 1 2010 libruby-static.a -rwxr-xr-x 1 root wheel 1191880 Jun 1 2010 libruby.1.8.7.dylib lrwxrwxrwx 1 root wheel 19 Jun 1 2010 libruby.1.8.dylib -> libruby.1.8.7.dylib lrwxrwxrwx 1 root wheel 19 Jun 1 2010 libruby.dylib -> libruby.1.8.7.dylib drwxr-xr-x 6 root wheel 204 Jun 1 2010 ruby

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  • Node.js Adventure - When Node Flying in Wind

    - by Shaun
    In the first post of this series I mentioned some popular modules in the community, such as underscore, async, etc.. I also listed a module named “Wind (zh-CN)”, which is created by one of my friend, Jeff Zhao (zh-CN). Now I would like to use a separated post to introduce this module since I feel it brings a new async programming style in not only Node.js but JavaScript world. If you know or heard about the new feature in C# 5.0 called “async and await”, or you learnt F#, you will find the “Wind” brings the similar async programming experience in JavaScript. By using “Wind”, we can write async code that looks like the sync code. The callbacks, async stats and exceptions will be handled by “Wind” automatically and transparently.   What’s the Problem: Dense “Callback” Phobia Let’s firstly back to my second post in this series. As I mentioned in that post, when we wanted to read some records from SQL Server we need to open the database connection, and then execute the query. In Node.js all IO operation are designed as async callback pattern which means when the operation was done, it will invoke a function which was taken from the last parameter. For example the database connection opening code would be like this. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: } 8: }); And then if we need to query the database the code would be like this. It nested in the previous function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: } 14: }; 15: } 16: }); Assuming if we need to copy some data from this database to another then we need to open another connection and execute the command within the function under the query function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: target.open(targetConnectionString, function(error, t_conn) { 14: if(error) { 15: // connect failed 16: } 17: else { 18: t_conn.queryRaw(copy_command, function(error, results) { 19: if(error) { 20: // copy failed 21: } 22: else { 23: // and then, what do you want to do now... 24: } 25: }; 26: } 27: }; 28: } 29: }; 30: } 31: }); This is just an example. In the real project the logic would be more complicated. This means our application might be messed up and the business process will be fragged by many callback functions. I would like call this “Dense Callback Phobia”. This might be a challenge how to make code straightforward and easy to read, something like below. 1: try 2: { 3: // open source connection 4: var s_conn = sqlConnect(s_connectionString); 5: // retrieve data 6: var results = sqlExecuteCommand(s_conn, s_command); 7: 8: // open target connection 9: var t_conn = sqlConnect(t_connectionString); 10: // prepare the copy command 11: var t_command = getCopyCommand(results); 12: // execute the copy command 13: sqlExecuteCommand(s_conn, t_command); 14: } 15: catch (ex) 16: { 17: // error handling 18: }   What’s the Problem: Sync-styled Async Programming Similar as the previous problem, the callback-styled async programming model makes the upcoming operation as a part of the current operation, and mixed with the error handling code. So it’s very hard to understand what on earth this code will do. And since Node.js utilizes non-blocking IO mode, we cannot invoke those operations one by one, as they will be executed concurrently. For example, in this post when I tried to copy the records from Windows Azure SQL Database (a.k.a. WASD) to Windows Azure Table Storage, if I just insert the data into table storage one by one and then print the “Finished” message, I will see the message shown before the data had been copied. This is because all operations were executed at the same time. In order to make the copy operation and print operation executed synchronously I introduced a module named “async” and the code was changed as below. 1: async.forEach(results.rows, 2: function (row, callback) { 3: var resource = { 4: "PartitionKey": row[1], 5: "RowKey": row[0], 6: "Value": row[2] 7: }; 8: client.insertEntity(tableName, resource, function (error) { 9: if (error) { 10: callback(error); 11: } 12: else { 13: console.log("entity inserted."); 14: callback(null); 15: } 16: }); 17: }, 18: function (error) { 19: if (error) { 20: error["target"] = "insertEntity"; 21: res.send(500, error); 22: } 23: else { 24: console.log("all done."); 25: res.send(200, "Done!"); 26: } 27: }); It ensured that the “Finished” message will be printed when all table entities had been inserted. But it cannot promise that the records will be inserted in sequence. It might be another challenge to make the code looks like in sync-style? 1: try 2: { 3: forEach(row in rows) { 4: var entity = { /* ... */ }; 5: tableClient.insert(tableName, entity); 6: } 7:  8: console.log("Finished"); 9: } 10: catch (ex) { 11: console.log(ex); 12: }   How “Wind” Helps “Wind” is a JavaScript library which provides the control flow with plain JavaScript for asynchronous programming (and more) without additional pre-compiling steps. It’s available in NPM so that we can install it through “npm install wind”. Now let’s create a very simple Node.js application as the example. This application will take some website URLs from the command arguments and tried to retrieve the body length and print them in console. Then at the end print “Finish”. I’m going to use “request” module to make the HTTP call simple so I also need to install by the command “npm install request”. The code would be like this. 1: var request = require("request"); 2:  3: // get the urls from arguments, the first two arguments are `node.exe` and `fetch.js` 4: var args = process.argv.splice(2); 5:  6: // main function 7: var main = function() { 8: for(var i = 0; i < args.length; i++) { 9: // get the url 10: var url = args[i]; 11: // send the http request and try to get the response and body 12: request(url, function(error, response, body) { 13: if(!error && response.statusCode == 200) { 14: // log the url and the body length 15: console.log( 16: "%s: %d.", 17: response.request.uri.href, 18: body.length); 19: } 20: else { 21: // log error 22: console.log(error); 23: } 24: }); 25: } 26: 27: // finished 28: console.log("Finished"); 29: }; 30:  31: // execute the main function 32: main(); Let’s execute this application. (I made them in multi-lines for better reading.) 1: node fetch.js 2: "http://www.igt.com/us-en.aspx" 3: "http://www.igt.com/us-en/games.aspx" 4: "http://www.igt.com/us-en/cabinets.aspx" 5: "http://www.igt.com/us-en/systems.aspx" 6: "http://www.igt.com/us-en/interactive.aspx" 7: "http://www.igt.com/us-en/social-gaming.aspx" 8: "http://www.igt.com/support.aspx" Below is the output. As you can see the finish message was printed at the beginning, and the pages’ length retrieved in a different order than we specified. This is because in this code the request command, console logging command are executed asynchronously and concurrently. Now let’s introduce “Wind” to make them executed in order, which means it will request the websites one by one, and print the message at the end.   First of all we need to import the “Wind” package and make sure the there’s only one global variant named “Wind”, and ensure it’s “Wind” instead of “wind”. 1: var Wind = require("wind");   Next, we need to tell “Wind” which code will be executed asynchronously so that “Wind” can control the execution process. In this case the “request” operation executed asynchronously so we will create a “Task” by using a build-in helps function in “Wind” named Wind.Async.Task.create. 1: var requestBodyLengthAsync = function(url) { 2: return Wind.Async.Task.create(function(t) { 3: request(url, function(error, response, body) { 4: if(error || response.statusCode != 200) { 5: t.complete("failure", error); 6: } 7: else { 8: var data = 9: { 10: uri: response.request.uri.href, 11: length: body.length 12: }; 13: t.complete("success", data); 14: } 15: }); 16: }); 17: }; The code above created a “Task” from the original request calling code. In “Wind” a “Task” means an operation will be finished in some time in the future. A “Task” can be started by invoke its start() method, but no one knows when it actually will be finished. The Wind.Async.Task.create helped us to create a task. The only parameter is a function where we can put the actual operation in, and then notify the task object it’s finished successfully or failed by using the complete() method. In the code above I invoked the request method. If it retrieved the response successfully I set the status of this task as “success” with the URL and body length. If it failed I set this task as “failure” and pass the error out.   Next, we will change the main() function. In “Wind” if we want a function can be controlled by Wind we need to mark it as “async”. This should be done by using the code below. 1: var main = eval(Wind.compile("async", function() { 2: })); When the application is running, Wind will detect “eval(Wind.compile(“async”, function” and generate an anonymous code from the body of this original function. Then the application will run the anonymous code instead of the original one. In our example the main function will be like this. 1: var main = eval(Wind.compile("async", function() { 2: for(var i = 0; i < args.length; i++) { 3: try 4: { 5: var result = $await(requestBodyLengthAsync(args[i])); 6: console.log( 7: "%s: %d.", 8: result.uri, 9: result.length); 10: } 11: catch (ex) { 12: console.log(ex); 13: } 14: } 15: 16: console.log("Finished"); 17: })); As you can see, when I tried to request the URL I use a new command named “$await”. It tells Wind, the operation next to $await will be executed asynchronously, and the main thread should be paused until it finished (or failed). So in this case, my application will be pause when the first response was received, and then print its body length, then try the next one. At the end, print the finish message.   Finally, execute the main function. The full code would be like this. 1: var request = require("request"); 2: var Wind = require("wind"); 3:  4: var args = process.argv.splice(2); 5:  6: var requestBodyLengthAsync = function(url) { 7: return Wind.Async.Task.create(function(t) { 8: request(url, function(error, response, body) { 9: if(error || response.statusCode != 200) { 10: t.complete("failure", error); 11: } 12: else { 13: var data = 14: { 15: uri: response.request.uri.href, 16: length: body.length 17: }; 18: t.complete("success", data); 19: } 20: }); 21: }); 22: }; 23:  24: var main = eval(Wind.compile("async", function() { 25: for(var i = 0; i < args.length; i++) { 26: try 27: { 28: var result = $await(requestBodyLengthAsync(args[i])); 29: console.log( 30: "%s: %d.", 31: result.uri, 32: result.length); 33: } 34: catch (ex) { 35: console.log(ex); 36: } 37: } 38: 39: console.log("Finished"); 40: })); 41:  42: main().start();   Run our new application. At the beginning we will see the compiled and generated code by Wind. Then we can see the pages were requested one by one, and at the end the finish message was printed. Below is the code Wind generated for us. As you can see the original code, the output code were shown. 1: // Original: 2: function () { 3: for(var i = 0; i < args.length; i++) { 4: try 5: { 6: var result = $await(requestBodyLengthAsync(args[i])); 7: console.log( 8: "%s: %d.", 9: result.uri, 10: result.length); 11: } 12: catch (ex) { 13: console.log(ex); 14: } 15: } 16: 17: console.log("Finished"); 18: } 19:  20: // Compiled: 21: /* async << function () { */ (function () { 22: var _builder_$0 = Wind.builders["async"]; 23: return _builder_$0.Start(this, 24: _builder_$0.Combine( 25: _builder_$0.Delay(function () { 26: /* var i = 0; */ var i = 0; 27: /* for ( */ return _builder_$0.For(function () { 28: /* ; i < args.length */ return i < args.length; 29: }, function () { 30: /* ; i ++) { */ i ++; 31: }, 32: /* try { */ _builder_$0.Try( 33: _builder_$0.Delay(function () { 34: /* var result = $await(requestBodyLengthAsync(args[i])); */ return _builder_$0.Bind(requestBodyLengthAsync(args[i]), function (result) { 35: /* console.log("%s: %d.", result.uri, result.length); */ console.log("%s: %d.", result.uri, result.length); 36: return _builder_$0.Normal(); 37: }); 38: }), 39: /* } catch (ex) { */ function (ex) { 40: /* console.log(ex); */ console.log(ex); 41: return _builder_$0.Normal(); 42: /* } */ }, 43: null 44: ) 45: /* } */ ); 46: }), 47: _builder_$0.Delay(function () { 48: /* console.log("Finished"); */ console.log("Finished"); 49: return _builder_$0.Normal(); 50: }) 51: ) 52: ); 53: /* } */ })   How Wind Works Someone may raise a big concern when you find I utilized “eval” in my code. Someone may assume that Wind utilizes “eval” to execute some code dynamically while “eval” is very low performance. But I would say, Wind does NOT use “eval” to run the code. It only use “eval” as a flag to know which code should be compiled at runtime. When the code was firstly been executed, Wind will check and find “eval(Wind.compile(“async”, function”. So that it knows this function should be compiled. Then it utilized parse-js to analyze the inner JavaScript and generated the anonymous code in memory. Then it rewrite the original code so that when the application was running it will use the anonymous one instead of the original one. Since the code generation was done at the beginning of the application was started, in the future no matter how long our application runs and how many times the async function was invoked, it will use the generated code, no need to generate again. So there’s no significant performance hurt when using Wind.   Wind in My Previous Demo Let’s adopt Wind into one of my previous demonstration and to see how it helps us to make our code simple, straightforward and easy to read and understand. In this post when I implemented the functionality that copied the records from my WASD to table storage, the logic would be like this. 1, Open database connection. 2, Execute a query to select all records from the table. 3, Recreate the table in Windows Azure table storage. 4, Create entities from each of the records retrieved previously, and then insert them into table storage. 5, Finally, show message as the HTTP response. But as the image below, since there are so many callbacks and async operations, it’s very hard to understand my logic from the code. Now let’s use Wind to rewrite our code. First of all, of course, we need the Wind package. Then we need to include the package files into project and mark them as “Copy always”. Add the Wind package into the source code. Pay attention to the variant name, you must use “Wind” instead of “wind”. 1: var express = require("express"); 2: var async = require("async"); 3: var sql = require("node-sqlserver"); 4: var azure = require("azure"); 5: var Wind = require("wind"); Now we need to create some async functions by using Wind. All async functions should be wrapped so that it can be controlled by Wind which are open database, retrieve records, recreate table (delete and create) and insert entity in table. Below are these new functions. All of them are created by using Wind.Async.Task.create. 1: sql.openAsync = function (connectionString) { 2: return Wind.Async.Task.create(function (t) { 3: sql.open(connectionString, function (error, conn) { 4: if (error) { 5: t.complete("failure", error); 6: } 7: else { 8: t.complete("success", conn); 9: } 10: }); 11: }); 12: }; 13:  14: sql.queryAsync = function (conn, query) { 15: return Wind.Async.Task.create(function (t) { 16: conn.queryRaw(query, function (error, results) { 17: if (error) { 18: t.complete("failure", error); 19: } 20: else { 21: t.complete("success", results); 22: } 23: }); 24: }); 25: }; 26:  27: azure.recreateTableAsync = function (tableName) { 28: return Wind.Async.Task.create(function (t) { 29: client.deleteTable(tableName, function (error, successful, response) { 30: console.log("delete table finished"); 31: client.createTableIfNotExists(tableName, function (error, successful, response) { 32: console.log("create table finished"); 33: if (error) { 34: t.complete("failure", error); 35: } 36: else { 37: t.complete("success", null); 38: } 39: }); 40: }); 41: }); 42: }; 43:  44: azure.insertEntityAsync = function (tableName, entity) { 45: return Wind.Async.Task.create(function (t) { 46: client.insertEntity(tableName, entity, function (error, entity, response) { 47: if (error) { 48: t.complete("failure", error); 49: } 50: else { 51: t.complete("success", null); 52: } 53: }); 54: }); 55: }; Then in order to use these functions we will create a new function which contains all steps for data copying. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: } 4: catch (ex) { 5: console.log(ex); 6: res.send(500, "Internal error."); 7: } 8: })); Let’s execute steps one by one with the “$await” keyword introduced by Wind so that it will be invoked in sequence. First is to open the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: } 7: catch (ex) { 8: console.log(ex); 9: res.send(500, "Internal error."); 10: } 11: })); Then retrieve all records from the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: } 10: catch (ex) { 11: console.log(ex); 12: res.send(500, "Internal error."); 13: } 14: })); After recreated the table, we need to create the entities and insert them into table storage. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: } 24: } 25: catch (ex) { 26: console.log(ex); 27: res.send(500, "Internal error."); 28: } 29: })); Finally, send response back to the browser. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: // send response 24: console.log("all done"); 25: res.send(200, "All done!"); 26: } 27: } 28: catch (ex) { 29: console.log(ex); 30: res.send(500, "Internal error."); 31: } 32: })); If we compared with the previous code we will find now it became more readable and much easy to understand. It’s very easy to know what this function does even though without any comments. When user go to URL “/was/copyRecords” we will execute the function above. The code would be like this. 1: app.get("/was/copyRecords", function (req, res) { 2: copyRecords(req, res).start(); 3: }); And below is the logs printed in local compute emulator console. As we can see the functions executed one by one and then finally the response back to me browser.   Scaffold Functions in Wind Wind provides not only the async flow control and compile functions, but many scaffold methods as well. We can build our async code more easily by using them. I’m going to introduce some basic scaffold functions here. In the code above I created some functions which wrapped from the original async function such as open database, create table, etc.. All of them are very similar, created a task by using Wind.Async.Task.create, return error or result object through Task.complete function. In fact, Wind provides some functions for us to create task object from the original async functions. If the original async function only has a callback parameter, we can use Wind.Async.Binding.fromCallback method to get the task object directly. For example the code below returned the task object which wrapped the file exist check function. 1: var Wind = require("wind"); 2: var fs = require("fs"); 3:  4: fs.existsAsync = Wind.Async.Binding.fromCallback(fs.exists); In Node.js a very popular async function pattern is that, the first parameter in the callback function represent the error object, and the other parameters is the return values. In this case we can use another build-in function in Wind named Wind.Async.Binding.fromStandard. For example, the open database function can be created from the code below. 1: sql.openAsync = Wind.Async.Binding.fromStandard(sql.open); 2:  3: /* 4: sql.openAsync = function (connectionString) { 5: return Wind.Async.Task.create(function (t) { 6: sql.open(connectionString, function (error, conn) { 7: if (error) { 8: t.complete("failure", error); 9: } 10: else { 11: t.complete("success", conn); 12: } 13: }); 14: }); 15: }; 16: */ When I was testing the scaffold functions under Wind.Async.Binding I found for some functions, such as the Azure SDK insert entity function, cannot be processed correctly. So I personally suggest writing the wrapped method manually.   Another scaffold method in Wind is the parallel tasks coordination. In this example, the steps of open database, retrieve records and recreated table should be invoked one by one, but it can be executed in parallel when copying data from database to table storage. In Wind there’s a scaffold function named Task.whenAll which can be used here. Task.whenAll accepts a list of tasks and creates a new task. It will be returned only when all tasks had been completed, or any errors occurred. For example in the code below I used the Task.whenAll to make all copy operation executed at the same time. 1: var copyRecordsInParallel = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage in parallal 14: var tasks = new Array(results.rows.length); 15: for (var i = 0; i < results.rows.length; i++) { 16: var entity = { 17: "PartitionKey": results.rows[i][1], 18: "RowKey": results.rows[i][0], 19: "Value": results.rows[i][2] 20: }; 21: tasks[i] = azure.insertEntityAsync(tableName, entity); 22: } 23: $await(Wind.Async.Task.whenAll(tasks)); 24: // send response 25: console.log("all done"); 26: res.send(200, "All done!"); 27: } 28: } 29: catch (ex) { 30: console.log(ex); 31: res.send(500, "Internal error."); 32: } 33: })); 34:  35: app.get("/was/copyRecordsInParallel", function (req, res) { 36: copyRecordsInParallel(req, res).start(); 37: });   Besides the task creation and coordination, Wind supports the cancellation solution so that we can send the cancellation signal to the tasks. It also includes exception solution which means any exceptions will be reported to the caller function.   Summary In this post I introduced a Node.js module named Wind, which created by my friend Jeff Zhao. As you can see, different from other async library and framework, adopted the idea from F# and C#, Wind utilizes runtime code generation technology to make it more easily to write async, callback-based functions in a sync-style way. By using Wind there will be almost no callback, and the code will be very easy to understand. Currently Wind is still under developed and improved. There might be some problems but the author, Jeff, should be very happy and enthusiastic to learn your problems, feedback, suggestion and comments. You can contact Jeff by - Email: [email protected] - Group: https://groups.google.com/d/forum/windjs - GitHub: https://github.com/JeffreyZhao/wind/issues   Source code can be download 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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  • Windows Azure: Import/Export Hard Drives, VM ACLs, Web Sockets, Remote Debugging, Continuous Delivery, New Relic, Billing Alerts and More

    - by ScottGu
    Two weeks ago we released a giant set of improvements to Windows Azure, as well as a significant update of the Windows Azure SDK. This morning we released another massive set of enhancements to Windows Azure.  Today’s new capabilities include: Storage: Import/Export Hard Disk Drives to your Storage Accounts HDInsight: General Availability of our Hadoop Service in the cloud Virtual Machines: New VM Gallery, ACL support for VIPs Web Sites: WebSocket and Remote Debugging Support Notification Hubs: Segmented customer push notification support with tag expressions TFS & GIT: Continuous Delivery Support for Web Sites + Cloud Services Developer Analytics: New Relic support for Web Sites + Mobile Services Service Bus: Support for partitioned queues and topics Billing: New Billing Alert Service that sends emails notifications when your bill hits a threshold you define All of these improvements are now available to use immediately (note that some features are still in preview).  Below are more details about them. Storage: Import/Export Hard Disk Drives to Windows Azure I am excited to announce the preview of our new Windows Azure Import/Export Service! The Windows Azure Import/Export Service enables you to move large amounts of on-premises data into and out of your Windows Azure Storage accounts. It does this by enabling you to securely ship hard disk drives directly to our Windows Azure data centers. Once we receive the drives we’ll automatically transfer the data to or from your Windows Azure Storage account.  This enables you to import or export massive amounts of data more quickly and cost effectively (and not be constrained by available network bandwidth). Encrypted Transport Our Import/Export service provides built-in support for BitLocker disk encryption – which enables you to securely encrypt data on the hard drives before you send it, and not have to worry about it being compromised even if the disk is lost/stolen in transit (since the content on the transported hard drives is completely encrypted and you are the only one who has the key to it).  The drive preparation tool we are shipping today makes setting up bitlocker encryption on these hard drives easy. How to Import/Export your first Hard Drive of Data You can read our Getting Started Guide to learn more about how to begin using the import/export service.  You can create import and export jobs via the Windows Azure Management Portal as well as programmatically using our Server Management APIs. It is really easy to create a new import or export job using the Windows Azure Management Portal.  Simply navigate to a Windows Azure storage account, and then click the new Import/Export tab now available within it (note: if you don’t have this tab make sure to sign-up for the Import/Export preview): Then click the “Create Import Job” or “Create Export Job” commands at the bottom of it.  This will launch a wizard that easily walks you through the steps required: For more comprehensive information about Import/Export, refer to Windows Azure Storage team blog.  You can also send questions and comments to the [email protected] email address. We think you’ll find this new service makes it much easier to move data into and out of Windows Azure, and it will dramatically cut down the network bandwidth required when working on large data migration projects.  We hope you like it. HDInsight: 100% Compatible Hadoop Service in the Cloud Last week we announced the general availability release of Windows Azure HDInsight. HDInsight is a 100% compatible Hadoop service that allows you to easily provision and manage Hadoop clusters for big data processing in Windows Azure.  This release is now live in production, backed by an enterprise SLA, supported 24x7 by Microsoft Support, and is ready to use for production scenarios. HDInsight allows you to use Apache Hadoop tools, such as Pig and Hive, to process large amounts of data in Windows Azure Blob Storage. Because data is stored in Windows Azure Blob Storage, you can choose to dynamically create Hadoop clusters only when you need them, and then shut them down when they are no longer required (since you pay only for the time the Hadoop cluster instances are running this provides a super cost effective way to use them).  You can create Hadoop clusters using either the Windows Azure Management Portal (see below) or using our PowerShell and Cross Platform Command line tools: The import/export hard drive support that came out today is a perfect companion service to use with HDInsight – the combination allows you to easily ingest, process and optionally export a limitless amount of data.  We’ve also integrated HDInsight with our Business Intelligence tools, so users can leverage familiar tools like Excel in order to analyze the output of jobs.  You can find out more about how to get started with HDInsight here. Virtual Machines: VM Gallery Enhancements Today’s update of Windows Azure brings with it a new Virtual Machine gallery that you can use to create new VMs in the cloud.  You can launch the gallery by doing New->Compute->Virtual Machine->From Gallery within the Windows Azure Management Portal: The new Virtual Machine Gallery includes some nice enhancements that make it even easier to use: Search: You can now easily search and filter images using the search box in the top-right of the dialog.  For example, simply type “SQL” and we’ll filter to show those images in the gallery that contain that substring. Category Tree-view: Each month we add more built-in VM images to the gallery.  You can continue to browse these using the “All” view within the VM Gallery – or now quickly filter them using the category tree-view on the left-hand side of the dialog.  For example, by selecting “Oracle” in the tree-view you can now quickly filter to see the official Oracle supplied images. MSDN and Supported checkboxes: With today’s update we are also introducing filters that makes it easy to filter out types of images that you may not be interested in. The first checkbox is MSDN: using this filter you can exclude any image that is not part of the Windows Azure benefits for MSDN subscribers (which have highly discounted pricing - you can learn more about the MSDN pricing here). The second checkbox is Supported: this filter will exclude any image that contains prerelease software, so you can feel confident that the software you choose to deploy is fully supported by Windows Azure and our partners. Sort options: We sort gallery images by what we think customers are most interested in, but sometimes you might want to sort using different views. So we’re providing some additional sort options, like “Newest,” to customize the image list for what suits you best. Pricing information: We now provide additional pricing information about images and options on how to cost effectively run them directly within the VM Gallery. The above improvements make it even easier to use the VM Gallery and quickly create launch and run Virtual Machines in the cloud. Virtual Machines: ACL Support for VIPs A few months ago we exposed the ability to configure Access Control Lists (ACLs) for Virtual Machines using Windows PowerShell cmdlets and our Service Management API. With today’s release, you can now configure VM ACLs using the Windows Azure Management Portal as well. You can now do this by clicking the new Manage ACL command in the Endpoints tab of a virtual machine instance: This will enable you to configure an ordered list of permit and deny rules to scope the traffic that can access your VM’s network endpoints. For example, if you were on a virtual network, you could limit RDP access to a Windows Azure virtual machine to only a few computers attached to your enterprise. Or if you weren’t on a virtual network you could alternatively limit traffic from public IPs that can access your workloads: Here is the default behaviors for ACLs in Windows Azure: By default (i.e. no rules specified), all traffic is permitted. When using only Permit rules, all other traffic is denied. When using only Deny rules, all other traffic is permitted. When there is a combination of Permit and Deny rules, all other traffic is denied. Lastly, remember that configuring endpoints does not automatically configure them within the VM if it also has firewall rules enabled at the OS level.  So if you create an endpoint using the Windows Azure Management Portal, Windows PowerShell, or REST API, be sure to also configure your guest VM firewall appropriately as well. Web Sites: Web Sockets Support With today’s release you can now use Web Sockets with Windows Azure Web Sites.  This feature enables you to easily integrate real-time communication scenarios within your web based applications, and is available at no extra charge (it even works with the free tier).  Higher level programming libraries like SignalR and socket.io are also now supported with it. You can enable Web Sockets support on a web site by navigating to the Configure tab of a Web Site, and by toggling Web Sockets support to “on”: Once Web Sockets is enabled you can start to integrate some really cool scenarios into your web applications.  Check out the new SignalR documentation hub on www.asp.net to learn more about some of the awesome scenarios you can do with it. Web Sites: Remote Debugging Support The Windows Azure SDK 2.2 we released two weeks ago introduced remote debugging support for Windows Azure Cloud Services. With today’s Windows Azure release we are extending this remote debugging support to also work with Windows Azure Web Sites. With live, remote debugging support inside of Visual Studio, you are able to have more visibility than ever before into how your code is operating live in Windows Azure. It is now super easy to attach the debugger and quickly see what is going on with your application in the cloud. Remote Debugging of a Windows Azure Web Site using VS 2013 Enabling the remote debugging of a Windows Azure Web Site using VS 2013 is really easy.  Start by opening up your web application’s project within Visual Studio. Then navigate to the “Server Explorer” tab within Visual Studio, and click on the deployed web-site you want to debug that is running within Windows Azure using the Windows Azure->Web Sites node in the Server Explorer.  Then right-click and choose the “Attach Debugger” option on it: When you do this Visual Studio will remotely attach the debugger to the Web Site running within Windows Azure.  The debugger will then stop the web site’s execution when it hits any break points that you have set within your web application’s project inside Visual Studio.  For example, below I set a breakpoint on the “ViewBag.Message” assignment statement within the HomeController of the standard ASP.NET MVC project template.  When I hit refresh on the “About” page of the web site within the browser, the breakpoint was triggered and I am now able to debug the app remotely using Visual Studio: Note above how we can debug variables (including autos/watchlist/etc), as well as use the Immediate and Command Windows. In the debug session above I used the Immediate Window to explore some of the request object state, as well as to dynamically change the ViewBag.Message property.  When we click the the “Continue” button (or press F5) the app will continue execution and the Web Site will render the content back to the browser.  This makes it super easy to debug web apps remotely. Tips for Better Debugging To get the best experience while debugging, we recommend publishing your site using the Debug configuration within Visual Studio’s Web Publish dialog. This will ensure that debug symbol information is uploaded to the Web Site which will enable a richer debug experience within Visual Studio.  You can find this option on the Web Publish dialog on the Settings tab: When you ultimately deploy/run the application in production we recommend using the “Release” configuration setting – the release configuration is memory optimized and will provide the best production performance.  To learn more about diagnosing and debugging Windows Azure Web Sites read our new Troubleshooting Windows Azure Web Sites in Visual Studio guide. Notification Hubs: Segmented Push Notification support with tag expressions In August we announced the General Availability of Windows Azure Notification Hubs - a powerful Mobile Push Notifications service that makes it easy to send high volume push notifications with low latency from any mobile app back-end.  Notification hubs can be used with any mobile app back-end (including ones built using our Mobile Services capability) and can also be used with back-ends that run in the cloud as well as on-premises. Beginning with the initial release, Notification Hubs allowed developers to send personalized push notifications to both individual users as well as groups of users by interest, by associating their devices with tags representing the logical target of the notification. For example, by registering all devices of customers interested in a favorite MLB team with a corresponding tag, it is possible to broadcast one message to millions of Boston Red Sox fans and another message to millions of St. Louis Cardinals fans with a single API call respectively. New support for using tag expressions to enable advanced customer segmentation With today’s release we are adding support for even more advanced customer targeting.  You can now identify customers that you want to send push notifications to by defining rich tag expressions. With tag expressions, you can now not only broadcast notifications to Boston Red Sox fans, but take that segmenting a step farther and reach more granular segments. This opens up a variety of scenarios, for example: Offers based on multiple preferences—e.g. send a game day vegetarian special to users tagged as both a Boston Red Sox fan AND a vegetarian Push content to multiple segments in a single message—e.g. rain delay information only to users who are tagged as either a Boston Red Sox fan OR a St. Louis Cardinal fan Avoid presenting subsets of a segment with irrelevant content—e.g. season ticket availability reminder to users who are tagged as a Boston Red Sox fan but NOT also a season ticket holder To illustrate with code, consider a restaurant chain app that sends an offer related to a Red Sox vs Cardinals game for users in Boston. Devices can be tagged by your app with location tags (e.g. “Loc:Boston”) and interest tags (e.g. “Follows:RedSox”, “Follows:Cardinals”), and then a notification can be sent by your back-end to “(Follows:RedSox || Follows:Cardinals) && Loc:Boston” in order to deliver an offer to all devices in Boston that follow either the RedSox or the Cardinals. This can be done directly in your server backend send logic using the code below: var notification = new WindowsNotification(messagePayload); hub.SendNotificationAsync(notification, "(Follows:RedSox || Follows:Cardinals) && Loc:Boston"); In your expressions you can use all Boolean operators: AND (&&), OR (||), and NOT (!).  Some other cool use cases for tag expressions that are now supported include: Social: To “all my group except me” - group:id && !user:id Events: Touchdown event is sent to everybody following either team or any of the players involved in the action: Followteam:A || Followteam:B || followplayer:1 || followplayer:2 … Hours: Send notifications at specific times. E.g. Tag devices with time zone and when it is 12pm in Seattle send to: GMT8 && follows:thaifood Versions and platforms: Send a reminder to people still using your first version for Android - version:1.0 && platform:Android For help on getting started with Notification Hubs, visit the Notification Hub documentation center.  Then download the latest NuGet package (or use the Notification Hubs REST APIs directly) to start sending push notifications using tag expressions.  They are really powerful and enable a bunch of great new scenarios. TFS & GIT: Continuous Delivery Support for Web Sites + Cloud Services With today’s Windows Azure release we are making it really easy to enable continuous delivery support with Windows Azure and Team Foundation Services.  Team Foundation Services is a cloud based offering from Microsoft that provides integrated source control (with both TFS and Git support), build server, test execution, collaboration tools, and agile planning support.  It makes it really easy to setup a team project (complete with automated builds and test runners) in the cloud, and it has really rich integration with Visual Studio. With today’s Windows Azure release it is now really easy to enable continuous delivery support with both TFS and Git based repositories hosted using Team Foundation Services.  This enables a workflow where when code is checked in, built successfully on an automated build server, and all tests pass on it – I can automatically have the app deployed on Windows Azure with zero manual intervention or work required. The below screen-shots demonstrate how to quickly setup a continuous delivery workflow to Windows Azure with a Git-based ASP.NET MVC project hosted using Team Foundation Services. Enabling Continuous Delivery to Windows Azure with Team Foundation Services The project I’m going to enable continuous delivery with is a simple ASP.NET MVC project whose source code I’m hosting using Team Foundation Services.  I did this by creating a “SimpleContinuousDeploymentTest” repository there using Git – and then used the new built-in Git tooling support within Visual Studio 2013 to push the source code to it.  Below is a screen-shot of the Git repository hosted within Team Foundation Services: I can access the repository within Visual Studio 2013 and easily make commits with it (as well as branch, merge and do other tasks).  Using VS 2013 I can also setup automated builds to take place in the cloud using Team Foundation Services every time someone checks in code to the repository: The cool thing about this is that I don’t have to buy or rent my own build server – Team Foundation Services automatically maintains its own build server farm and can automatically queue up a build for me (for free) every time someone checks in code using the above settings.  This build server (and automated testing) support now works with both TFS and Git based source control repositories. Connecting a Team Foundation Services project to Windows Azure Once I have a source repository hosted in Team Foundation Services with Automated Builds and Testing set up, I can then go even further and set it up so that it will be automatically deployed to Windows Azure when a source code commit is made to the repository (assuming the Build + Tests pass).  Enabling this is now really easy.  To set this up with a Windows Azure Web Site simply use the New->Compute->Web Site->Custom Create command inside the Windows Azure Management Portal.  This will create a dialog like below.  I gave the web site a name and then made sure the “Publish from source control” checkbox was selected: When we click next we’ll be prompted for the location of the source repository.  We’ll select “Team Foundation Services”: Once we do this we’ll be prompted for our Team Foundation Services account that our source repository is hosted under (in this case my TFS account is “scottguthrie”): When we click the “Authorize Now” button we’ll be prompted to give Windows Azure permissions to connect to the Team Foundation Services account.  Once we do this we’ll be prompted to pick the source repository we want to connect to.  Starting with today’s Windows Azure release you can now connect to both TFS and Git based source repositories.  This new support allows me to connect to the “SimpleContinuousDeploymentTest” respository we created earlier: Clicking the finish button will then create the Web Site with the continuous delivery hooks setup with Team Foundation Services.  Now every time someone pushes source control to the repository in Team Foundation Services, it will kick off an automated build, run all of the unit tests in the solution , and if they pass the app will be automatically deployed to our Web Site in Windows Azure.  You can monitor the history and status of these automated deployments using the Deployments tab within the Web Site: This enables a really slick continuous delivery workflow, and enables you to build and deploy apps in a really nice way. Developer Analytics: New Relic support for Web Sites + Mobile Services With today’s Windows Azure release we are making it really easy to enable Developer Analytics and Monitoring support with both Windows Azure Web Site and Windows Azure Mobile Services.  We are partnering with New Relic, who provide a great dev analytics and app performance monitoring offering, to enable this - and we have updated the Windows Azure Management Portal to make it really easy to configure. Enabling New Relic with a Windows Azure Web Site Enabling New Relic support with a Windows Azure Web Site is now really easy.  Simply navigate to the Configure tab of a Web Site and scroll down to the “developer analytics” section that is now within it: Clicking the “add-on” button will display some additional UI.  If you don’t already have a New Relic subscription, you can click the “view windows azure store” button to obtain a subscription (note: New Relic has a perpetually free tier so you can enable it even without paying anything): Clicking the “view windows azure store” button will launch the integrated Windows Azure Store experience we have within the Windows Azure Management Portal.  You can use this to browse from a variety of great add-on services – including New Relic: Select “New Relic” within the dialog above, then click the next button, and you’ll be able to choose which type of New Relic subscription you wish to purchase.  For this demo we’ll simply select the “Free Standard Version” – which does not cost anything and can be used forever:  Once we’ve signed-up for our New Relic subscription and added it to our Windows Azure account, we can go back to the Web Site’s configuration tab and choose to use the New Relic add-on with our Windows Azure Web Site.  We can do this by simply selecting it from the “add-on” dropdown (it is automatically populated within it once we have a New Relic subscription in our account): Clicking the “Save” button will then cause the Windows Azure Management Portal to automatically populate all of the needed New Relic configuration settings to our Web Site: Deploying the New Relic Agent as part of a Web Site The final step to enable developer analytics using New Relic is to add the New Relic runtime agent to our web app.  We can do this within Visual Studio by right-clicking on our web project and selecting the “Manage NuGet Packages” context menu: This will bring up the NuGet package manager.  You can search for “New Relic” within it to find the New Relic agent.  Note that there is both a 32-bit and 64-bit edition of it – make sure to install the version that matches how your Web Site is running within Windows Azure (note: you can configure your Web Site to run in either 32-bit or 64-bit mode using the Web Site’s “Configuration” tab within the Windows Azure Management Portal): Once we install the NuGet package we are all set to go.  We’ll simply re-publish the web site again to Windows Azure and New Relic will now automatically start monitoring the application Monitoring a Web Site using New Relic Now that the application has developer analytics support with New Relic enabled, we can launch the New Relic monitoring portal to start monitoring the health of it.  We can do this by clicking on the “Add Ons” tab in the left-hand side of the Windows Azure Management Portal.  Then select the New Relic add-on we signed-up for within it.  The Windows Azure Management Portal will provide some default information about the add-on when we do this.  Clicking the “Manage” button in the tray at the bottom will launch a new browser tab and single-sign us into the New Relic monitoring portal associated with our account: When we do this a new browser tab will launch with the New Relic admin tool loaded within it: We can now see insights into how our app is performing – without having to have written a single line of monitoring code.  The New Relic service provides a ton of great built-in monitoring features allowing us to quickly see: Performance times (including browser rendering speed) for the overall site and individual pages.  You can optionally set alert thresholds to trigger if the speed does not meet a threshold you specify. Information about where in the world your customers are hitting the site from (and how performance varies by region) Details on the latency performance of external services your web apps are using (for example: SQL, Storage, Twitter, etc) Error information including call stack details for exceptions that have occurred at runtime SQL Server profiling information – including which queries executed against your database and what their performance was And a whole bunch more… The cool thing about New Relic is that you don’t need to write monitoring code within your application to get all of the above reports (plus a lot more).  The New Relic agent automatically enables the CLR profiler within applications and automatically captures the information necessary to identify these.  This makes it super easy to get started and immediately have a rich developer analytics view for your solutions with very little effort. If you haven’t tried New Relic out yet with Windows Azure I recommend you do so – I think you’ll find it helps you build even better cloud applications.  Following the above steps will help you get started and deliver you a really good application monitoring solution in only minutes. Service Bus: Support for partitioned queues and topics With today’s release, we are enabling support within Service Bus for partitioned queues and topics. Enabling partitioning enables you to achieve a higher message throughput and better availability from your queues and topics. Higher message throughput is achieved by implementing multiple message brokers for each partitioned queue and topic.  The  multiple messaging stores will also provide higher availability. You can create a partitioned queue or topic by simply checking the Enable Partitioning option in the custom create wizard for a Queue or Topic: Read this article to learn more about partitioned queues and topics and how to take advantage of them today. Billing: New Billing Alert Service Today’s Windows Azure update enables a new Billing Alert Service Preview that enables you to get proactive email notifications when your Windows Azure bill goes above a certain monetary threshold that you configure.  This makes it easier to manage your bill and avoid potential surprises at the end of the month. With the Billing Alert Service Preview, you can now create email alerts to monitor and manage your monetary credits or your current bill total.  To set up an alert first sign-up for the free Billing Alert Service Preview.  Then visit the account management page, click on a subscription you have setup, and then navigate to the new Alerts tab that is available: The alerts tab allows you to setup email alerts that will be sent automatically once a certain threshold is hit.  For example, by clicking the “add alert” button above I can setup a rule to send myself email anytime my Windows Azure bill goes above $100 for the month: The Billing Alert Service will evolve to support additional aspects of your bill as well as support multiple forms of alerts such as SMS.  Try out the new Billing Alert Service Preview today and give us feedback. Summary Today’s Windows Azure release enables a ton of great new scenarios, and makes building applications hosted in the cloud even easier. If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using all of the above features today.  Then visit the Windows Azure Developer Center to learn more about how to build apps with it. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • Let other computer view my localhost over a network...

    - by Smickie
    Hi, I have apache and what not running on my local machine (mac), there also another mac on the local network. How does this other machine access my localhost? For example I have a local website at example.local.net in my vhost. How can another computer on the network navigate to this site? Cheers!

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  • PHP 5.3.2 + Fcgid 2.3.5 + Apache 2.2.14 + SuExec => Connection reset by peer: mod_fcgid: error reading data from FastCGI server

    - by Zigzag
    I'm trying to use PHP 5.3.2 + Fcgid 2.3.5 + Apache 2.2.14 but I always have the error : "Connection reset by peer: mod_fcgid: error reading data from FastCGI server". And Apache returns an error 500 each time I tried to execute a php page : I have compiled the Apache with this options: ./configure --with-mpm=worker --enable-userdir=shared --enable-actions=shared --enable-alias=shared --enable-auth=shared --enable-so --enable-deflate \ --enable-cache=shared --enable-disk-cache=shared --enable-info=shared --enable-rewrite=shared \ --enable-suexec=shared --with-suexec-caller=www-data --with-suexec-userdir=site --with-suexec-logfile=/usr/local/apache2/logs/suexec.log --with-suexec-docroot=/home Then PHP: ./configure --with-config-file-path=/usr/local/apache2/php --with-apxs2=/usr/local/apache2/bin/apxs --with-mysql --with-zlib --enable-exif --with-gd --enable-cgi Then FCdigd: APXS=/usr/local/apache2/bin/apxs ./configure.apxs The VHOST is: <Directory /home/website_panel/site/> FCGIWrapper /home/website_panel/cgi/php .php ... ErrorLog /home/website_panel/logs/error.log </Directory> cat /home/website_panel/logs/error.log [Sun Mar 07 22:19:41 2010] [warn] [client xx.xx.xx.xx] (104)Connection reset by peer: mod_fcgid: error reading data from FastCGI server [Sun Mar 07 22:19:41 2010] [error] [client xx.xx.xx.xx] Premature end of script headers: test.php [Sun Mar 07 22:19:41 2010] [warn] [client xx.xx.xx.xx] (104)Connection reset by peer: mod_fcgid: error reading data from FastCGI server [Sun Mar 07 22:19:41 2010] [error] [client xx.xx.xx.xx] Premature end of script headers: test.php [Sun Mar 07 22:19:42 2010] [warn] [client xx.xx.xx.xx] (104)Connection reset by peer: mod_fcgid: error reading data from FastCGI server [Sun Mar 07 22:19:42 2010] [error] [client xx.xx.xx.xx] Premature end of script headers: test.php [Sun Mar 07 22:19:43 2010] [warn] [client xx.xx.xx.xx] (104)Connection reset by peer: mod_fcgid: error reading data from FastCGI server [Sun Mar 07 22:19:43 2010] [error] [client xx.xx.xx.xx] Premature end of script headers: test.php The Suexec log: root:/usr/local/apache2# cat /var/log/apache2/suexec.log [2010-03-07 22:11:05]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:11:15]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:11:23]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:19:41]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:19:41]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:19:42]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:19:43]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php root:/usr/local/apache2# cat logs/error_log [Sun Mar 07 22:18:47 2010] [notice] suEXEC mechanism enabled (wrapper: /usr/local/apache2/bin/suexec) [Sun Mar 07 22:18:47 2010] [notice] mod_bw : Memory Allocated 0 bytes (each conf takes 32 bytes) [Sun Mar 07 22:18:47 2010] [notice] mod_bw : Version 0.7 - Initialized [0 Confs] [Sun Mar 07 22:18:47 2010] [notice] Apache/2.2.14 (Unix) mod_fcgid/2.3.5 configured -- resuming normal operations root:/usr/local/apache2# /home/website_panel/cgi/php -v PHP 5.3.2 (cli) (built: Mar 7 2010 16:01:49) Copyright (c) 1997-2010 The PHP Group Zend Engine v2.3.0, Copyright (c) 1998-2010 Zend Technologies If someone has got an idea, I want to hear it ^^ Thanks !

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  • PHP 5.3.2 + Fcgid 2.3.5 + Apache 2.2.14 + SuExec => Connection reset by peer: mod_fcgid: error readi

    - by Zigzag
    Hi, I'm trying to use PHP 5.3.2 + Fcgid 2.3.5 + Apache 2.2.14 but I always have the error : "Connection reset by peer: mod_fcgid: error reading data from FastCGI server". And Apache returns an error 500 each time I tried to execute a php page : I have compiled the Apache with this options: ./configure --with-mpm=worker --enable-userdir=shared --enable-actions=shared --enable-alias=shared --enable-auth=shared --enable-so --enable-deflate \ --enable-cache=shared --enable-disk-cache=shared --enable-info=shared --enable-rewrite=shared \ --enable-suexec=shared --with-suexec-caller=www-data --with-suexec-userdir=site --with-suexec-logfile=/usr/local/apache2/logs/suexec.log --with-suexec-docroot=/home Then PHP: ./configure --with-config-file-path=/usr/local/apache2/php --with-apxs2=/usr/local/apache2/bin/apxs --with-mysql --with-zlib --enable-exif --with-gd --enable-cgi Then FCdigd: APXS=/usr/local/apache2/bin/apxs ./configure.apxs The VHOST is: <Directory /home/website_panel/site/> FCGIWrapper /home/website_panel/cgi/php .php ... ErrorLog /home/website_panel/logs/error.log </Directory> cat /home/website_panel/logs/error.log [Sun Mar 07 22:19:41 2010] [warn] [client xx.xx.xx.xx] (104)Connection reset by peer: mod_fcgid: error reading data from FastCGI server [Sun Mar 07 22:19:41 2010] [error] [client xx.xx.xx.xx] Premature end of script headers: test.php [Sun Mar 07 22:19:41 2010] [warn] [client xx.xx.xx.xx] (104)Connection reset by peer: mod_fcgid: error reading data from FastCGI server [Sun Mar 07 22:19:41 2010] [error] [client xx.xx.xx.xx] Premature end of script headers: test.php [Sun Mar 07 22:19:42 2010] [warn] [client xx.xx.xx.xx] (104)Connection reset by peer: mod_fcgid: error reading data from FastCGI server [Sun Mar 07 22:19:42 2010] [error] [client xx.xx.xx.xx] Premature end of script headers: test.php [Sun Mar 07 22:19:43 2010] [warn] [client xx.xx.xx.xx] (104)Connection reset by peer: mod_fcgid: error reading data from FastCGI server [Sun Mar 07 22:19:43 2010] [error] [client xx.xx.xx.xx] Premature end of script headers: test.php The Suexec log: root:/usr/local/apache2# cat /var/log/apache2/suexec.log [2010-03-07 22:11:05]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:11:15]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:11:23]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:19:41]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:19:41]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:19:42]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php [2010-03-07 22:19:43]: uid: (1001/website_panel) gid: (1001/website_panel) cmd: php root:/usr/local/apache2# cat logs/error_log [Sun Mar 07 22:18:47 2010] [notice] suEXEC mechanism enabled (wrapper: /usr/local/apache2/bin/suexec) [Sun Mar 07 22:18:47 2010] [notice] mod_bw : Memory Allocated 0 bytes (each conf takes 32 bytes) [Sun Mar 07 22:18:47 2010] [notice] mod_bw : Version 0.7 - Initialized [0 Confs] [Sun Mar 07 22:18:47 2010] [notice] Apache/2.2.14 (Unix) mod_fcgid/2.3.5 configured -- resuming normal operations root:/usr/local/apache2# /home/website_panel/cgi/php -v PHP 5.3.2 (cli) (built: Mar 7 2010 16:01:49) Copyright (c) 1997-2010 The PHP Group Zend Engine v2.3.0, Copyright (c) 1998-2010 Zend Technologies If someone has got an idea, I want to hear it ^^ Thanks !

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  • Permissions problems with Apache / SVN

    - by Fred Wuerges
    I am installed a SVN server (v1.6) on a VPS contracted with CentOS 5, Apache 2.2 with WHM panel. I installed and configured all necessary modules and am able to create and access repositories via my web browser normally. The problem: I can not commit or import anything, always return permission errors: First error: Can not open file '/var/www/svn/test/db/txn-current-lock': Permission denied After fix the previous error: Can't open '/var/www/svn/test/db/tempfile.tmp': Permission denied And other... (and happends many others) Can't open file '/var/www/svn/test/db/txn-protorevs/0-1m.rev': Permission denied I've read and executed permissions on numerous tutorials regarding this errors, all without success. I've defined the owner as apache or nobody and different permissions for folders and files. I'm using TortoiseSVN to connect to the server. Some information that may find useful: I'm trying to perform commit through an external HTTP connection, like: svn commit http://example.com/svn/test SELinux is disabled. sestatus returns SELinux status: disabled Running the command to see the active processes of Apache, some processes are left with user/group "nobody". I tried changing the settings of Apache to not run with that user/group, but all my websites stopped working, returning this error: Forbidden You don't have permission to access / on this server. Additionally, a 403 Forbidden error was encountered while trying to use an ErrorDocument to handle the request. Apache process list: root@vps [/var/www]# ps aux | egrep '(apache|httpd)' root 19904 0.0 4.4 133972 35056 ? Ss 16:58 0:00 /usr/local/apache/bin/httpd -k start -DSSL nobody 20401 0.0 3.5 133972 27772 ? S 17:01 0:00 /usr/local/apache/bin/httpd -k start -DSSL root 20409 0.0 3.4 133972 27112 ? S 17:01 0:00 /usr/local/apache/bin/httpd -k start -DSSL nobody 20410 0.0 3.8 190040 30412 ? Sl 17:01 0:00 /usr/local/apache/bin/httpd -k start -DSSL nobody 20412 0.0 3.9 190344 30944 ? Sl 17:01 0:00 /usr/local/apache/bin/httpd -k start -DSSL nobody 20414 0.0 4.4 190160 35364 ? Sl 17:01 0:00 /usr/local/apache/bin/httpd -k start -DSSL nobody 20416 0.0 4.0 190980 32108 ? Sl 17:01 0:00 /usr/local/apache/bin/httpd -k start -DSSL nobody 20418 0.3 5.3 263028 42328 ? Sl 17:01 0:12 /usr/local/apache/bin/httpd -k start -DSSL root 32409 0.0 0.1 7212 816 pts/0 R+ 17:54 0:00 egrep (apache|httpd) SVN folder permission var/www/: drwxrwxr-x 3 apache apache 4096 Dec 11 16:41 svn/ Repository permission var/www/svn/: drwxrwxr-x 6 apache apache 4096 Dec 11 16:41 test/ Internal folders of repository var/www/svn/test: drwxrwxr-x 2 apache apache 4096 Dec 11 16:41 conf/ drwxrwxr-x 6 apache apache 4096 Dec 11 16:41 db/ -rwxrwxr-x 1 apache apache 2 Dec 11 16:41 format* drwxrwxr-x 2 apache apache 4096 Dec 11 16:41 hooks/ drwxrwxr-x 2 apache apache 4096 Dec 11 16:41 locks/ -rwxrwxr-x 1 apache apache 229 Dec 11 16:41 README.txt*

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  • DHCP and DNS on none AD 2003 Server PTR is updating but no A records

    - by user29819
    I have a strange issue, I have a DHCP and DNS server running in a non AD environment, on Windows 2003 server. I setup DHCP to update DNS A and PTR records even if the client doesnt request it, but I only see PTR records updated, the A records are not created at all. The domain is "local" forward zone is called "local" and in the option 15 set to "local" (actual name) the PTR records are created with the right name (example: win64_ent.local), What am I missing here ?

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