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• More details on America's Cup use of Oracle Data Mining

  - by charlie.berger

  BMW Oracle Racing's America's Cup: A Victory for Database Technology BMW Oracle Racing's victory in the 33rd America's Cup yacht race in February showcased the crew's extraordinary sailing expertise. But to hear them talk, the real stars weren't actually human. "The story of this race is in the technology," says Ian Burns, design coordinator for BMW Oracle Racing. Gathering and Mining Sailing DataFrom the drag-resistant hull to its 23-story wing sail, the BMW Oracle USA trimaran is a technological marvel. But to learn to sail it well, the crew needed to review enormous amounts of reliable data every time they took the boat for a test run. Burns and his team collected performance data from 250 sensors throughout the trimaran at the rate of 10 times per second. An hour of sailing alone generates 90 million data points.BMW Oracle Racing turned to Oracle Data Mining in Oracle Database 11g to extract maximum value from the data. Burns and his team reviewed and shared raw data with crew members daily using a Web application built in Oracle Application Express (Oracle APEX). "Someone would say, 'Wouldn't it be great if we could look at some new combination of numbers?' We could quickly build an Oracle Application Express application and share the information during the same meeting," says Burns. Analyzing Wind and Other Environmental ConditionsBurns then streamed the data to the Oracle Austin Data Center, where a dedicated team tackled deeper analysis. Because the data was collected in an Oracle Database, the Data Center team could dive straight into the analytics problems without having to do any extract, transform, and load processes or data conversion. And the many advanced data mining algorithms in Oracle Data Mining allowed the analytics team to build vital performance analytics. For example, the technology team could remove masking elements such as environmental conditions to give accurate data on the best mast rotation for certain wind conditions. Without the data mining, Burns says the boat wouldn't have run as fast. "The design of the boat was important, but once you've got it designed, the whole race is down to how the guys can use it," he says. "With Oracle database technology we could compare the incremental improvements in our performance from the first day of sailing to the very last day. With data mining we could check data against the things we saw, and we could find things that weren't otherwise easily observable and findable."

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• Au revoir, Python?

  - by GuySmiley

  I'm an ex-C++ programmer who's recently discovered (and fallen head-over-heels with) Python. I've taken some time to become reasonably fluent in Python, but I've encountered some troubling realities that may lead me to drop it as my language of choice, at least for the time being. I'm writing this in the hopes that someone out there can talk me out of it by convincing me that my concerns are easily circumvented within the bounds of the python universe. I picked up python while looking for a single flexible language that will allow me to build end-to-end working systems quickly on a variety of platforms. These include: - web services - mobile apps - cross-platform client apps for PC Development speed is more of a priority at the time-being than execution speed. However, in order to improve performance over time without requiring major re-writes or architectural changes I think it's imperative to be able to interface easily with Java. That way, I can use Java to optimize specific components as the application scales, without throwing away any code. As far as I can tell, my requirement for an enterprise-capable, platform-independent, fast language with a large developer base means it would have to be Java. .NET or C++ would not cut it due to their respective limitations. Also Java is clearly de rigeur for most mobile platforms. Unfortunately, tragically, there doesn't seem to be a good way to meet all these demands. Jython seems to be what I'm looking for in principle, except that it appears to be practically dead, with no one developing, supporting, or using it to any great degree. And also Jython seems too married to the Java libraries, as you can't use many of the CPython standard libraries with it, which has a major impact on the code you end up writing. The only other option that I can see is to use JPype wrapped in marshalling classes, which may work although it seems like a pain and I wonder if it would be worth it in the long run. On the other hand, everything I'm looking for seems to be readily available by using JRuby, which seems to be much better supported. As things stand, I think this is my best option. I'm sad about this because I absolutely love everything about Python, including the syntax. The perl-like constructs in Ruby just feel like such a step backwards to me in terms of readability, but at the end of the day most of the benefits of python are available in Ruby as well. So I ask you - am I missing something here? Much of what I've said is based on what I've read, so is this summary of the current landscape accurate, or is there some magical solution to the Python-Java divide that will snuff these concerns and allow me to comfortably stay in my happy Python place?

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• Atheros AR9285 / Lenovo G560 wireless not working after installing 13.04

  - by teyi

  I had Ubuntu 12.04 initially installed on my laptop. I upgraded to 12.10 then 13.04. Everything worked fine, including wireless. After adding a new memory card ( I only had 2 gb and one memory slot free) my wireess stopped working. I backed up all my data and reinstallled Ubuntu 13.04. Everything works fine except wireess. I bought this laptop in 2010 from Japan. It has Intel Core i5 CPU M 450 @2.40 Ghz * 4 3,7 Gb RAM os type 64 bit The output of iwconfig: eth0 no wireless extensions. lo no wireless extensions. wlan0 IEEE 802.11bgn ESSID:off/any Mode:Managed Access Point: Not-Associated Tx-Power=15 dBm Retry long limit:7 RTS thr:off Fragment thr:off Power Management:off The output of rfkill list all: 0: ideapad_wlan: Wireless LAN Soft blocked: no Hard blocked: no 1: phy0: Wireless LAN Soft blocked: no Hard blocked: no The output of lshw -C network: *-network description: Wireless interface product: AR9285 Wireless Network Adapter (PCI-Express) vendor: Atheros Communications Inc. physical id: 0 bus info: pci@0000:05:00.0 logical name: wlan0 version: 01 serial: 78:e4:00:7d:fe:fa width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list ethernet physical wireless configuration: broadcast=yes driver=ath9k driverversion=3.8.0-19-generic firmware=N/A latency=0 link=no multicast=yes wireless=IEEE 802.11bgn resources: irq:17 memory:d6400000-d640ffff *-network description: Ethernet interface product: RTL8101E/RTL8102E PCI Express Fast Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:06:00.0 logical name: eth0 version: 02 serial: 88:ae:1d:2b:36:ac size: 100Mbit/s capacity: 100Mbit/s width: 64 bits clock: 33MHz capabilities: pm msi pciexpress msix vpd bus_master cap_list rom ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=r8169 driverversion=2.3LK-NAPI duplex=full ip=192.168.2.2 latency=0 link=yes multicast=yes port=MII speed=100Mbit/s resources: irq:41 ioport:2000(size=256) memory:d2410000-d2410fff memory:d2400000-d240ffff memory:d2420000-d243ffff The wi-fi network appears as disconnected ( it's greyed out) Strangely enough I see a wifi network ( not mine) but not mine or the rest. That network doesn't require a password . I click on it, try to connect and i get an error message: failed to connect to xxxxx ... 32) The access point/org/freedesktop/NetworkManager/AccessPoint/0 was not in the scan list. Someone help please

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• PTLQueue : a scalable bounded-capacity MPMC queue

  - by Dave

  Title: Fast concurrent MPMC queue -- I've used the following concurrent queue algorithm enough that it warrants a blog entry. I'll sketch out the design of a fast and scalable multiple-producer multiple-consumer (MPSC) concurrent queue called PTLQueue. The queue has bounded capacity and is implemented via a circular array. Bounded capacity can be a useful property if there's a mismatch between producer rates and consumer rates where an unbounded queue might otherwise result in excessive memory consumption by virtue of the container nodes that -- in some queue implementations -- are used to hold values. A bounded-capacity queue can provide flow control between components. Beware, however, that bounded collections can also result in resource deadlock if abused. The put() and take() operators are partial and wait for the collection to become non-full or non-empty, respectively. Put() and take() do not allocate memory, and are not vulnerable to the ABA pathologies. The PTLQueue algorithm can be implemented equally well in C/C++ and Java. Partial operators are often more convenient than total methods. In many use cases if the preconditions aren't met, there's nothing else useful the thread can do, so it may as well wait via a partial method. An exception is in the case of work-stealing queues where a thief might scan a set of queues from which it could potentially steal. Total methods return ASAP with a success-failure indication. (It's tempting to describe a queue or API as blocking or non-blocking instead of partial or total, but non-blocking is already an overloaded concurrency term. Perhaps waiting/non-waiting or patient/impatient might be better terms). It's also trivial to construct partial operators by busy-waiting via total operators, but such constructs may be less efficient than an operator explicitly and intentionally designed to wait. A PTLQueue instance contains an array of slots, where each slot has volatile Turn and MailBox fields. The array has power-of-two length allowing mod/div operations to be replaced by masking. We assume sensible padding and alignment to reduce the impact of false sharing. (On x86 I recommend 128-byte alignment and padding because of the adjacent-sector prefetch facility). Each queue also has PutCursor and TakeCursor cursor variables, each of which should be sequestered as the sole occupant of a cache line or sector. You can opt to use 64-bit integers if concerned about wrap-around aliasing in the cursor variables. Put(null) is considered illegal, but the caller or implementation can easily check for and convert null to a distinguished non-null proxy value if null happens to be a value you'd like to pass. Take() will accordingly convert the proxy value back to null. An advantage of PTLQueue is that you can use atomic fetch-and-increment for the partial methods. We initialize each slot at index I with (Turn=I, MailBox=null). Both cursors are initially 0. All shared variables are considered "volatile" and atomics such as CAS and AtomicFetchAndIncrement are presumed to have bidirectional fence semantics. Finally T is the templated type. I've sketched out a total tryTake() method below that allows the caller to poll the queue. tryPut() has an analogous construction. Zebra stripping : alternating row colors for nice-looking code listings. See also google code "prettify" : https://code.google.com/p/google-code-prettify/ Prettify is a javascript module that yields the HTML/CSS/JS equivalent of pretty-print. -- pre:nth-child(odd) { background-color:#ff0000; } pre:nth-child(even) { background-color:#0000ff; } border-left: 11px solid #ccc; margin: 1.7em 0 1.7em 0.3em; background-color:#BFB; font-size:12px; line-height:65%; " // PTLQueue : Put(v) : // producer : partial method - waits as necessary assert v != null assert Mask = 1 && (Mask & (Mask+1)) == 0 // Document invariants // doorway step // Obtain a sequence number -- ticket // As a practical concern the ticket value is temporally unique // The ticket also identifies and selects a slot auto tkt = AtomicFetchIncrement (&PutCursor, 1) slot * s = &Slots[tkt & Mask] // waiting phase : // wait for slot's generation to match the tkt value assigned to this put() invocation. // The "generation" is implicitly encoded as the upper bits in the cursor // above those used to specify the index : tkt div (Mask+1) // The generation serves as an epoch number to identify a cohort of threads // accessing disjoint slots while s-Turn != tkt : Pause assert s-MailBox == null s-MailBox = v // deposit and pass message Take() : // consumer : partial method - waits as necessary auto tkt = AtomicFetchIncrement (&TakeCursor,1) slot * s = &Slots[tkt & Mask] // 2-stage waiting : // First wait for turn for our generation // Acquire exclusive "take" access to slot's MailBox field // Then wait for the slot to become occupied while s-Turn != tkt : Pause // Concurrency in this section of code is now reduced to just 1 producer thread // vs 1 consumer thread. // For a given queue and slot, there will be most one Take() operation running // in this section. // Consumer waits for producer to arrive and make slot non-empty // Extract message; clear mailbox; advance Turn indicator // We have an obvious happens-before relation : // Put(m) happens-before corresponding Take() that returns that same "m" for T v = s-MailBox if v != null : s-MailBox = null ST-ST barrier s-Turn = tkt + Mask + 1 // unlock slot to admit next producer and consumer return v Pause tryTake() : // total method - returns ASAP with failure indication for auto tkt = TakeCursor slot * s = &Slots[tkt & Mask] if s-Turn != tkt : return null T v = s-MailBox // presumptive return value if v == null : return null // ratify tkt and v values and commit by advancing cursor if CAS (&TakeCursor, tkt, tkt+1) != tkt : continue s-MailBox = null ST-ST barrier s-Turn = tkt + Mask + 1 return v The basic idea derives from the Partitioned Ticket Lock "PTL" (US20120240126-A1) and the MultiLane Concurrent Bag (US8689237). The latter is essentially a circular ring-buffer where the elements themselves are queues or concurrent collections. You can think of the PTLQueue as a partitioned ticket lock "PTL" augmented to pass values from lock to unlock via the slots. Alternatively, you could conceptualize of PTLQueue as a degenerate MultiLane bag where each slot or "lane" consists of a simple single-word MailBox instead of a general queue. Each lane in PTLQueue also has a private Turn field which acts like the Turn (Grant) variables found in PTL. Turn enforces strict FIFO ordering and restricts concurrency on the slot mailbox field to at most one simultaneous put() and take() operation. PTL uses a single "ticket" variable and per-slot Turn (grant) fields while MultiLane has distinct PutCursor and TakeCursor cursors and abstract per-slot sub-queues. Both PTL and MultiLane advance their cursor and ticket variables with atomic fetch-and-increment. PTLQueue borrows from both PTL and MultiLane and has distinct put and take cursors and per-slot Turn fields. Instead of a per-slot queues, PTLQueue uses a simple single-word MailBox field. PutCursor and TakeCursor act like a pair of ticket locks, conferring "put" and "take" access to a given slot. PutCursor, for instance, assigns an incoming put() request to a slot and serves as a PTL "Ticket" to acquire "put" permission to that slot's MailBox field. To better explain the operation of PTLQueue we deconstruct the operation of put() and take() as follows. Put() first increments PutCursor obtaining a new unique ticket. That ticket value also identifies a slot. Put() next waits for that slot's Turn field to match that ticket value. This is tantamount to using a PTL to acquire "put" permission on the slot's MailBox field. Finally, having obtained exclusive "put" permission on the slot, put() stores the message value into the slot's MailBox. Take() similarly advances TakeCursor, identifying a slot, and then acquires and secures "take" permission on a slot by waiting for Turn. Take() then waits for the slot's MailBox to become non-empty, extracts the message, and clears MailBox. Finally, take() advances the slot's Turn field, which releases both "put" and "take" access to the slot's MailBox. Note the asymmetry : put() acquires "put" access to the slot, but take() releases that lock. At any given time, for a given slot in a PTLQueue, at most one thread has "put" access and at most one thread has "take" access. This restricts concurrency from general MPMC to 1-vs-1. We have 2 ticket locks -- one for put() and one for take() -- each with its own "ticket" variable in the form of the corresponding cursor, but they share a single "Grant" egress variable in the form of the slot's Turn variable. Advancing the PutCursor, for instance, serves two purposes. First, we obtain a unique ticket which identifies a slot. Second, incrementing the cursor is the doorway protocol step to acquire the per-slot mutual exclusion "put" lock. The cursors and operations to increment those cursors serve double-duty : slot-selection and ticket assignment for locking the slot's MailBox field. At any given time a slot MailBox field can be in one of the following states: empty with no pending operations -- neutral state; empty with one or more waiting take() operations pending -- deficit; occupied with no pending operations; occupied with one or more waiting put() operations -- surplus; empty with a pending put() or pending put() and take() operations -- transitional; or occupied with a pending take() or pending put() and take() operations -- transitional. The partial put() and take() operators can be implemented with an atomic fetch-and-increment operation, which may confer a performance advantage over a CAS-based loop. In addition we have independent PutCursor and TakeCursor cursors. Critically, a put() operation modifies PutCursor but does not access the TakeCursor and a take() operation modifies the TakeCursor cursor but does not access the PutCursor. This acts to reduce coherence traffic relative to some other queue designs. It's worth noting that slow threads or obstruction in one slot (or "lane") does not impede or obstruct operations in other slots -- this gives us some degree of obstruction isolation. PTLQueue is not lock-free, however. The implementation above is expressed with polite busy-waiting (Pause) but it's trivial to implement per-slot parking and unparking to deschedule waiting threads. It's also easy to convert the queue to a more general deque by replacing the PutCursor and TakeCursor cursors with Left/Front and Right/Back cursors that can move either direction. Specifically, to push and pop from the "left" side of the deque we would decrement and increment the Left cursor, respectively, and to push and pop from the "right" side of the deque we would increment and decrement the Right cursor, respectively. We used a variation of PTLQueue for message passing in our recent OPODIS 2013 paper. ul { list-style:none; padding-left:0; padding:0; margin:0; margin-left:0; } ul#myTagID { padding: 0px; margin: 0px; list-style:none; margin-left:0;} -- -- There's quite a bit of related literature in this area. I'll call out a few relevant references: Wilson's NYU Courant Institute UltraComputer dissertation from 1988 is classic and the canonical starting point : Operating System Data Structures for Shared-Memory MIMD Machines with Fetch-and-Add. Regarding provenance and priority, I think PTLQueue or queues effectively equivalent to PTLQueue have been independently rediscovered a number of times. See CB-Queue and BNPBV, below, for instance. But Wilson's dissertation anticipates the basic idea and seems to predate all the others. Gottlieb et al : Basic Techniques for the Efficient Coordination of Very Large Numbers of Cooperating Sequential Processors Orozco et al : CB-Queue in Toward high-throughput algorithms on many-core architectures which appeared in TACO 2012. Meneghin et al : BNPVB family in Performance evaluation of inter-thread communication mechanisms on multicore/multithreaded architecture Dmitry Vyukov : bounded MPMC queue (highly recommended) Alex Otenko : US8607249 (highly related). John Mellor-Crummey : Concurrent queues: Practical fetch-and-phi algorithms. Technical Report 229, Department of Computer Science, University of Rochester Thomasson : FIFO Distributed Bakery Algorithm (very similar to PTLQueue). Scott and Scherer : Dual Data Structures I'll propose an optimization left as an exercise for the reader. Say we wanted to reduce memory usage by eliminating inter-slot padding. Such padding is usually "dark" memory and otherwise unused and wasted. But eliminating the padding leaves us at risk of increased false sharing. Furthermore lets say it was usually the case that the PutCursor and TakeCursor were numerically close to each other. (That's true in some use cases). We might still reduce false sharing by incrementing the cursors by some value other than 1 that is not trivially small and is coprime with the number of slots. Alternatively, we might increment the cursor by one and mask as usual, resulting in a logical index. We then use that logical index value to index into a permutation table, yielding an effective index for use in the slot array. The permutation table would be constructed so that nearby logical indices would map to more distant effective indices. (Open question: what should that permutation look like? Possibly some perversion of a Gray code or De Bruijn sequence might be suitable). As an aside, say we need to busy-wait for some condition as follows : "while C == 0 : Pause". Lets say that C is usually non-zero, so we typically don't wait. But when C happens to be 0 we'll have to spin for some period, possibly brief. We can arrange for the code to be more machine-friendly with respect to the branch predictors by transforming the loop into : "if C == 0 : for { Pause; if C != 0 : break; }". Critically, we want to restructure the loop so there's one branch that controls entry and another that controls loop exit. A concern is that your compiler or JIT might be clever enough to transform this back to "while C == 0 : Pause". You can sometimes avoid this by inserting a call to a some type of very cheap "opaque" method that the compiler can't elide or reorder. On Solaris, for instance, you could use :"if C == 0 : { gethrtime(); for { Pause; if C != 0 : break; }}". It's worth noting the obvious duality between locks and queues. If you have strict FIFO lock implementation with local spinning and succession by direct handoff such as MCS or CLH,then you can usually transform that lock into a queue. Hidden commentary and annotations - invisible : * And of course there's a well-known duality between queues and locks, but I'll leave that topic for another blog post. * Compare and contrast : PTLQ vs PTL and MultiLane * Equivalent : Turn; seq; sequence; pos; position; ticket * Put = Lock; Deposit Take = identify and reserve slot; wait; extract & clear; unlock * conceptualize : Distinct PutLock and TakeLock implemented as ticket lock or PTL Distinct arrival cursors but share per-slot "Turn" variable provides exclusive role-based access to slot's mailbox field put() acquires exclusive access to a slot for purposes of "deposit" assigns slot round-robin and then acquires deposit access rights/perms to that slot take() acquires exclusive access to slot for purposes of "withdrawal" assigns slot round-robin and then acquires withdrawal access rights/perms to that slot At any given time, only one thread can have withdrawal access to a slot at any given time, only one thread can have deposit access to a slot Permissible for T1 to have deposit access and T2 to simultaneously have withdrawal access * round-robin for the purposes of; role-based; access mode; access role mailslot; mailbox; allocate/assign/identify slot rights; permission; license; access permission; * PTL/Ticket hybrid Asymmetric usage ; owner oblivious lock-unlock pairing K-exclusion add Grant cursor pass message m from lock to unlock via Slots[] array Cursor performs 2 functions : + PTL ticket + Assigns request to slot in round-robin fashion Deconstruct protocol : explication put() : allocate slot in round-robin fashion acquire PTL for "put" access store message into slot associated with PTL index take() : Acquire PTL for "take" access // doorway step seq = fetchAdd (&Grant, 1) s = &Slots[seq & Mask] // waiting phase while s-Turn != seq : pause Extract : wait for s-mailbox to be full v = s-mailbox s-mailbox = null Release PTL for both "put" and "take" access s-Turn = seq + Mask + 1 * Slot round-robin assignment and lock "doorway" protocol leverage the same cursor and FetchAdd operation on that cursor FetchAdd (&Cursor,1) + round-robin slot assignment and dispersal + PTL/ticket lock "doorway" step waiting phase is via "Turn" field in slot * PTLQueue uses 2 cursors -- put and take. Acquire "put" access to slot via PTL-like lock Acquire "take" access to slot via PTL-like lock 2 locks : put and take -- at most one thread can access slot's mailbox Both locks use same "turn" field Like multilane : 2 cursors : put and take slot is simple 1-capacity mailbox instead of queue Borrow per-slot turn/grant from PTL Provides strict FIFO Lock slot : put-vs-put take-vs-take at most one put accesses slot at any one time at most one put accesses take at any one time reduction to 1-vs-1 instead of N-vs-M concurrency Per slot locks for put/take Release put/take by advancing turn * is instrumental in ... * P-V Semaphore vs lock vs K-exclusion * See also : FastQueues-excerpt.java dice-etc/queue-mpmc-bounded-blocking-circular-xadd/ * PTLQueue is the same as PTLQB - identical * Expedient return; ASAP; prompt; immediately * Lamport's Bakery algorithm : doorway step then waiting phase Threads arriving at doorway obtain a unique ticket number Threads enter in ticket order * In the terminology of Reed and Kanodia a ticket lock corresponds to the busy-wait implementation of a semaphore using an eventcount and a sequencer It can also be thought of as an optimization of Lamport's bakery lock was designed for fault-tolerance rather than performance Instead of spinning on the release counter, processors using a bakery lock repeatedly examine the tickets of their peers --

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• Oracle VM networking under the hood and 3 new templates

  - by Chris Kawalek

  We have a few cool things to tell you about:  First up: have you ever wondered what happens behind the scenes in the network when you Live Migrate your Oracle VM server workload? Or how Oracle VM implements the network infrastructure you configure through your point & click action in the GUI? Really….how do they do this? For an in-depth view of the Oracle VM for x86 Networking model, Look ‘Under the Hood’ at Networking in Oracle VM Server for x86 with our best practices engineer in a blog post on OTN Garage. Next, making things simple in Oracle VM is what we strive every day to deliver to our user community. With that, we are pleased to bring you updates on three new Oracle Application templates: E-Business Suite 12.1.3 for Oracle ExalogicOracle VM templates for Oracle E-Business Suite 12.1.3 (x86 64-bit for Oracle Exalogic Elastic Cloud) contain all the required elements to create an Oracle E-Business Suite R12 demonstration system on an Exalogic server. You can use these templates to quickly build an EBS 12.1.3 demonstration environment, bypassing the operating system and the software install (via the EBS Rapid Install). For further details, please review the announcement.   JD Edwards EnterpriseOne 9.1 and JD Edwards EnterpriseOne Tools 9.1.2.1 for x86 servers and Oracle Exalogic The Oracle VM Templates for JD Edwards EnterpriseOne provide a method to rapidly install JD Edwards EnterpriseOne 9.1  and Tools 9.1.2.1. The complete stack includes Oracle Database 11g R2 and Oracle WebLogic Server 10.3.5 running on Oracle Linux 5. The templates can be installed to Oracle VM Server for x86 release 3.x and to the Oracle Exalogic Elastic Cloud.  PeopleSoft PeopleTools 8.5.2.10 for Oracle Exalogic This virtual deployment package delivers a "quick start" of PeopleSoft Middle-tier template on Oracle Linux for Oracle Exalogic Elastic Cloud. And last, are you wondering why we talk about “fast”, “rapid” when we refer to using Oracle VM templates to virtualize Oracle applications? Read the Evaluator Group Lab Validation report quantifying speeds of deployment up to 10x faster than with VMware vSphere. Or you can also check out our on demand webcast Quantifying the Value of Application-Driven Virtualization.

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• What type of interview questions should you ask for "legacy" programmers?

  - by Marcus Swope

  We have recently been receiving lots of applicants for our open developer positions from people who I like to refer to as "legacy" programmers. I don't like the term "old" because it seems a little prejudiced (especially to HR!) and it doesn't accurately reflect what I mean. We are a company that does primarily .NET development using TDD in an Agile environment, we use Git as a source control system, we make heavy use of OSS tools and projects and we contribute to them as well, we have a strong bias towards adhering to strong Object-Oriented principles, SOLID, etc, etc, etc... Now, the normal list of questions that we ask doesn't really seem to apply to applicants that are fresh out of school, nor does it seem to apply to these "legacy" programmers. Here is how I (loosely) define a "legacy" programmer. Spent a significant amount of their career working almost exclusively with Assembly/Machine Languages. Primary accomplishments include work done with TANDEM systems. Has extensive experience with technologies like FoxPro and ColdFusion It's not that we somehow think that what we do is "better" than what they do, on the contrary, we respect these types of applicants and we are scared that we may be missing a good candidate. It is just very difficult to get a good read on someone who is essentially speaking a different language than you. To someone like this, it seems a little strange to ask a question like: What is the difference between an abstract class and an interface? Because, I would think that they would almost never know the answer or even what I'm talking about. However, I don't want to eliminate someone who could be a very good candidate in their own right and could be able to eventually learn the stuff that we do. But, I also don't want to just ask a bunch of behavioral questions, because I want to know about their technical background as well. Am I being too naive? Should "legacy" programmers like this already know about things like TDD, source control strategies, and best practices for object-oriented programming? If not, what questions should we ask to get a good representation about whether or not they are still able to learn them and be able to keep up in our fast-paced environment? EDIT: I'm not concerned with whether or not applicants that meet these criteria are in general capable or incapable, as I have already stated that I believe that they can be 100% capable. I am more interested in figuring out how to evaluate their talents, as I am having a hard time figuring out how to determine if they are an A+ "legacy" programmer or if they are a D- "legacy" programmer. I've worked with both.

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• Should I choose Doctrine 2 or Propel 1.5/1.6, and why?

  - by Billy ONeal

  I'd like to hear from those who have used Doctrine 2 (or later) and Propel 1.5 (or later). Most comparisons between these two object relational mappers are based on old versions -- Doctrine 1 versus Propel 1.3/1.4, and both ORMs went through significant redesigns in their recent revisions. For example, most of the criticism of Propel seems to center around the "ModelName Peer" classes, which are deprecated in 1.5 in any case. Here's what I've accumulated so far (And I've tried to make this list as balanced as possible...): Propel Pros Extremely IDE friendly, because actual code is generated, instead of relying on PHP magic methods. This means IDE features like code completion are actually helpful. Fast (In terms of database usage -- no runtime introspection is done on the database) Clean migration between schema versions (at least in the 1.6 beta) Can generate PHP 5.3 models (i.e. namespaces) Easy to chain a lot of things into a single database query with things like useXxx methods. (See the "code completion" video above) Cons Requires an extra build step, namely building the model classes. Generated code needs rebuilt whenever Propel version is changed, a setting is changed, or the schema changes. This might be unintuitive to some and custom methods applied to the model are lost. (I think?) Some useful features (i.e. version behavior, schema migrations) are in beta status. Doctrine Pros More popular Doctrine Query Language can express potentially more complicated relationships between data than easily possible with Propel's ActiveRecord strategy. Easier to add reusable behaviors when compared with Propel. DocBlock based commenting for building the schema is embedded in the actual PHP instead of a separate XML file. Uses PHP 5.3 Namespaces everywhere Cons Requires learning an entirely new programming language (Doctrine Query Language) Implemented in terms of "magic methods" in several places, making IDE autocomplete worthless. Requires database introspection and thus is slightly slower than Propel by default; caching can remove this but the caching adds considerable complexity. Fewer behaviors are included in the core codebase. Several features Propel provides out of the box (such as Nested Set) are available only through extensions. Freakin' HUGE :) This I have gleaned though only through reading the documentation available for both tools -- I've not actually built anything yet. I'd like to hear from those who have used both tools though, to share their experience on pros/cons of each library, and what their recommendation is at this point :)

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• New security configuration flag in UCM PS3

  - by kyle.hatlestad

  While the recent Patch Set 3 (PS3) release was mostly focused on bug fixes and such, a new configuration flag was added for security. In 10gR3 and prior versions, UCM had a component called Collaboration Manager which allowed for project folders to be created and groups of users assigned as members to collaborate on documents. With this component came access control lists (ACL) for content and folders. Users could assign specific security rights on each and every document and folder within a project. And it was possible to enable these ACL's without having the Collaboration Manager component enabled. But it took some special instructions (see technote# 603148.1) and added some extraneous pieces still related to Collaboration Manager. When 11g came out, Collaboration Manager was no longer available. But the configuration settings to turn on ACLs were still there. Well, in PS3 they've been cleaned up a bit and a new configuration flag has been added to simply turn on the ACL fields and none of the other collaboration bits. To enable ACLs: UseEntitySecurity=true Along with this configuration flag to turn ACLs on, you also need to define which Security Groups will honor the ACL fields. If an ACL is applied to a content item with a Security Group outside this list, it will be ignored. SpecialAuthGroups=HumanResources,Legal,Marketing Save the settings and restart the instance. Upon restart, two new metadata fields will be created: xClbraUserList, xClbraAliasList. If you are using OracleTextSearch as the search indexer, be sure to run a Fast Rebuild on the collection. On the Check In, Search, and Update pages, values are added by simply typing in the value and getting a type-ahead list of possible values. Select the value, click Add and then set the level of access (Read, Write, Delete, or Admin). If all of the fields are blank, then it simply falls back to just Security Group and Account access. As for how they are stored in the metadata fields, each entry starts with it's identifier: ampersand (&) symbol for users, "at" (@) symbol for groups, and colon (:) for roles. Following that is the entity name. And at the end is the level of access in paranthesis. e.g. (RWDA). And each entry is separated by a comma. So if you were populating values through batch loader or an external source, the values would be defined this way. Detailed information on Access Control Lists can be found in the Oracle Fusion Middleware System Administrator's Guide for Oracle Content Server.

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• Partner Webcast – Oracle Coherence Applications on WebLogic 12c Grid - 21st Nov 2013

  - by Thanos Terentes Printzios

  Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. The latest release of Oracle Coherence 12c comes with great improvements in ease of use, integration and RASP (Reliability, Availability, Scalability, and Performance) areas. In addition it features an innovating approach to build and deploy Coherence Application as an integral part of typical JEE Enterprise Application. Coherence GAR archives and Coherence Managed Servers are now first-class citizens of all JEE applications and Oracle WebLogic domains respectively. That enables even easier development, deployment and management of complex multi-tier enterprise applications powered by data grid rich features. Oracle Coherence 12c makes your solution ready for the future of big data and always-on-line world. This webcast is focused on demonstrating How to create a Coherence Application using Oracle Enterprise Pack for Eclipse 12.1.2.1.1 (Kepler release). How to package the application in form of GAR archive inside the EAR deployable application. How to deploy the application to multi-tier WebLogic clusters. How to define and configure the WebLogic domain for the tiered clusters hosting both data grid and client JEE applications.  Finally we will expose the data in grid to external systems using REST services and create a simple web interface to the underlying data using Oracle ADF Faces components. Join us on this technology webcast, to find out more about how Oracle Cloud Application Frameworks brings together the key industry leading technologies of Oracle Coherence and Weblogic 12c, delivering next-generation applications. Agenda: Introduction to Oracle Coherence What's new in 12c release POF annotations Live Events Elastic Data (Flash storage support) Managed Coherence Servers for Oracle WebLogic Coherence Applications (Grid Archive) Live Demonstration Creating and configuring Coherence Servers forming the data tier cluster Creating a simple Coherence Grid Application in Eclipse Adding REST support and creating simple ADF Faces client application Deploying the grid and client applications to separate tiers in WebLogic topology HA capabilities of the data tier Summary - Q&A Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Duration: 1 hour REGISTER NOW For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Stay Connected Oracle Newsletters

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• Partner Webcast – More out of ODA with DB Options - 19 July 2012

  - by Thanos

  The Simple, Reliable, Affordable Path to High-Availability Databases Critical business data needs to be available 24/7 for users and customers, but it can be a struggle to find the time and resources to build a highly available database system that’s reliable and affordable. That’s why Oracle created the new Oracle Database Appliance—a complete package of software, server, storage, and networking. The Oracle Database Appliance integrates the world’s most popular database - Oracle Database 11g  - with system software, servers, storage and networking in a single box. Business gets the benefit of a reliable, secure and highly available database to support applications and maintain continuity – as well as groundbreaking ease of use. But that is not all, with the support for all Oracle Database Options, Oracle Database Appliance can be the ideal solution for many use cases. The benefits?   Unmatched performance, reliability & security for your data that’s there when you need it – which is all the time. Fast installation, simple deployment, easy management. Out of the box. Significant cost savings & reduced risk and complexity compared to integrating all the elements yourself. Ongoing lower total cost of ownership with multiple automated support, detection & correction functions that also save you time.   Discover the Oracle Database Appliance Value Proposition and learn how to position and combine it with database options to capture new business and easily roll out solutions safely and with maximum cost efficiency. Agenda: Oracle Database& Engineered Systems Innovation. What’s the Oracle Database Appliance ? Oracle Database Appliance Value Proposition. Oracle Database Appliance with Database Options Oracle Database Appliance Partners Business Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Duration: 1 hour Register Now! For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Visit regularly our ISV Migration Center blog Or Follow us @oracleimc to learn more on Oracle Technologies as well as upcoming partner webcasts and events.

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• Good approach for hundreds of comsumers and big files

  - by ????? ???????

  I have several files (nearly 1GB each) with data. Data is a string line. I need to process each of these files with several hundreds of consumers. Each of these consumers does some processing that differs from others. Consumers do not write anywhere concurrently. They only need input string. After processing they update their local buffers. Consumers can easily be executed in parallel. Important: With one specific file each consumer has to process all lines (without skipping) in correct order (as they appear in file). The order of processing different files doesn't matter. Processing of a single line by one consumer is comparably fast. I expect less than 50 microseconds on Corei5. So now I'm looking for the good approach to this problem. This is going to be be a part of a .NET project, so please let's stick with .NET only (C# is preferable). I know about TPL and DataFlow. I guess that the most relevant would be BroadcastBlock. But i think that the problem here is that with each line I'll have to wait for all consumers to finish in order to post the new one. I guess that it would be not very efficient. I think that ideally situation would be something like this: One thread reads from file and writes to the buffer. Each consumer, when it is ready, reads the line from the buffer concurrently and processes it. The entry from the buffer shouldn't be deleted as one consumer reads it. It can be deleted only when all consumers have processed it. TPL schedules consumer threads itself. If one consumer outperforms the others, it shouldn't wait and can read more recent entries from the buffer. Am i right with this kind of approach? Whether yes or not, how can i implement the good solution? A bit was already discussed on StackOverflow: link

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• BigData and Customer Experience: Happy Together

  - by Isabel F. Peñuelas

  The two big buzzes of the year may lay closer than it appears. Both concepts intersect at various points: BigData and Return of Investment of Marketing Campaigns On a recent post Big Data Is The Future Of Marketing Jeff Dachis explains very clearly how “Big data analytics finally allows marketers to identify, measure, and manage what is positively impacting their Brand”. Regression analysis applied to big data volumes coming from social media will substitute the failed attempts to justify marketing investments on social media in terms of followers and likes, he continues, “the measurement models applied by marketers on TV Campaigns don´t work on social”, we need to study the data with fresh eyes and maybe then we will start understanding and measuring brand engagemet. Social CRM and BigData The real value of Social CRM start by analyzing mass of big data from social media in order of applying social intelligence techniques that allow us to classify new customer niches and communities and define appropriated strategies to contact potential customers. Gartner Says that the Market for Social CRM is on pace to surpass $1 Billion in Revenue by Year-End 2012 but in words of Zach Hofer-Shall, Analyst at Forrester Research “Social customer relationship management is hard” (The Social CRM Arms Race Heats ). To succeed brands need three things: Investing in new social tools, investing in consultancy and investing in infrastructure for massive data storage and analysis. Neither CeX or BigData are easy and cheap wins. But what are the customer benefits of such investments? Big Data and Brand Engagement Time is the most valuable asset of todays consumers: tired of information overload, exhausted by the terabytes of offering, anxious because of not having the same fast multichannel experience with their services’ marketers or preferred goods providers than the one they found on their social media. Yes, I know you have read this before- me too. But is real. The motto of the Customer Experience philosophy of providing a consistent experience through multiple touchpoints that makes the relationship customer/brand easier and valuable finds it basis on understanding customer/s preferences and context for which BigData analysis is another imperative. In summary, I believe that using BigData Analysis in combination with appropriated CeX strategies and technologies is a promising direction for achieving: efficiency and marketing cost-savings; growing the customer base; and increasing customer conversion and retention. In a world: The Direction of Future Marketing.

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• Help for choosing a cost effective game server for Flash client

  - by Sapots Thomas

  I am developing a flash-based game primarily for desktops, to be hosted on facebook platform (like cityville, sims social etc). The gameplay doesn't involve real-time communication between players unlike an mmorpg. Here each player plays in his own world without any knowledge of other online players. I've written almost 95% of the game logic in actionscript on the client side. I used Smartfox Server pro on the server side (mostly used for getting data from the DB) and the entire server code is an extension written in java. I'm using json as the protocol for communication. Although I love smartfox server, as an indie, its tough for me to afford the unlimited users license. Morever its limited just to one machine. So I'm looking for an alternative to smartfox server now. The reason for choosing smartfox server earlier was to use the server properties supported by it. Server properties on smartfox server take advantage of the socket connection and are essentially server side objects in java which store some data for the player which he can change frequently during the game. And when he logs out of the game, the extension can write out the final state in the DB (I'm using MySQL). This significantly reduces the number of DB UPDATE/INSERT calls made during the game. I love the way this works since the data is secure as its on the server side and smartfox server is known to be scalable. (although I'm not sure whether this approach is used widely by gaming industry or not, since this is not an mmorpg, I'm putting all player in the lobby). So my question is whether any of the free and community supported servers like reddwarf, firebase, BlazeDS etc can provide a similar architecture so that I can use server properties without many code changes? EDIT : I am not insisting on the exact same feature (thats asking too much!), but atleast a viable messaging system on the server so that I can send actionscript objects from the client using json/binary so that its fast. OR maybe some completely different way to implement what I need here. Thanks in advance.

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• Character Stats and Power

  - by Stephen Furlani

  I'm making an RPG game system and I'm having a hard time deciding on doing detailed or abstract character statistics. These statistics define the character's natural - not learned - abilities. For example: Mass Effect: 0 (None that I can see) X20 (Xtreme Dungeon Mastery): 1 "STAT" Diablo: 4 "Strength, Magic, Dexterity, Vitality" Pendragon: 5 "SIZ, STR, DEX, CON, APP" Dungeons & Dragons (3.x, 4e): 6 "Str, Dex, Con, Wis, Int, Cha" Fallout 3: 7 "S.P.E.C.I.A.L." RIFTS: 8 "IQ, ME, MA, PS, PP, PE, PB, Spd" Warhammer Fantasy Roleplay (1st ed?): 12-ish "WS, BS, S, T, Ag, Int, WP, Fel, A, Mag, IP, FP" HERO (5th ed): 14 "Str, Dex, Con, Body, Int, Ego, Pre, Com, PD, ED, Spd, Rec, END, STUN" The more stats, the more complex and detailed your character becomes. This comes with a trade-off however, because you usually only have limited resources to describe your character. D&D made this infamous with the whole min/max-ing thing where strong characters were typically not also smart. But also, a character with a high Str typically also has high Con, Defenses, Hit Points/Health. Without high numbers in all those other stats, they might as well not be strong since they wouldn't hold up well in hand-to-hand combat. So things like that force trade-offs within the category of strength. So my original (now rejected) idea was to force players into deciding between offensive and defensive stats: Might / Body Dexterity / Speed Wit / Wisdom Heart Soul But this left some stat's without "opposites" (or opposites that were easily defined). I'm leaning more towards the following: Body (Physical Prowess) Mind (Mental Prowess) Heart (Social Prowess) Soul (Spiritual Prowess) This will define a character with just 4 numbers. Everything else gets based off of these numbers, which means they're pretty important. There won't, however, be ways of describing characters who are fast, but not strong or smart, but absent minded. Instead of defining the character with these numbers, they'll be detailing their character by buying skills and powers like these: Quickness Add a +2 Bonus to Body Rolls when Dodging. for a character that wants to be faster, or the following for a big, tough character Body Building Add a +2 Bonus to Body Rolls when Lifting, Pushing, or Throwing objects. [EDIT - removed subjectiveness] So my actual questions is what are some pitfalls with a small stat list and a large amount of descriptive powers? Is this more difficult to port cross-platform (pen&paper, PC) for example? Are there examples of this being done well/poorly? Thanks,

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• Database Mirroring – deprecated

  - by fatherjack

  Do you use mirroring on any of your databases? Do you use mirroring on SQL Server Standard Edition? I do, as a way of having a stand-by server ready to take over if there is a problem with the live server so that business can continue despite whatever disaster may strike at our primary server location. In my experience it has been a great solution for us as it is simple to implement, reliable and predictable. Mirroring has been around since SQL Server 2005 sp1 but with the release of SQL Server 2012 mirroring has now been placed on the deprecation list. That’s right, Microsoft are removing this feature from SQL Server. SQL Server 2012 had lots of improvements and new features around this sort of technology – the High Availability, Disaster recovery and Always On features described in detail here by Brent Ozar and  Microsoft’s own Customer Service and Support SQL Server Engineers . Now the bad news, the HADRON features are pretty much all wrapped up in the Enterprise Edition of SQL Server 2012. This is going to be a big issue for people, like me, who are only on Standard Edition of earlier versions mostly due to our requirements and the budget (or lack thereof) required for Enterprise Edition licenses. No mirroring in Standard Edition means no upgrade. Don’t Panic. There are two stages of deprecation and they dont happen fast. The first stage – Deprecation Announcement- means that Microsoft have decided that there is a limited future for a particular feature and this is your cue that new projects and developments should not be implemented on this technology as it will cease to exist in the future. This is where mirroring currently stands. You have time to consider your options and start work on planning how you will move away from using this feature. This can be 2 or 3 versions of SQL Server, possibly more. The next stage is Deprecation Final Support - this is where you are on your last chance, When you see this then the next version of SQL Server will not have this feature in it so you need to implement your plans to move to an alternative solution. While these two phases are taking place Microsoft are open to feedback on how people use their products and if enough people make the case for mirroring (or an equivalent technology) to be in the Standard Edition then they may make changes rather than lose customers or have customers cease upgrading in order to keep the functionality they need. Denny Cherry (@MrDenny) has published an article on this same topic here with more detail than me so I wont go over old ground. All I will say is that you should read his article now and then follow the link to his own site where he is collecting peoples information on how they use mirroring in Standard Edition so that our voice can be put to Microsoft.  

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• Why lock statements don't scale

  - by Alex.Davies

  We are going to have to stop using lock statements one day. Just like we had to stop using goto statements. The problem is similar, they're pretty easy to follow in small programs, but code with locks isn't composable. That means that small pieces of program that work in isolation can't necessarily be put together and work together. Of course actors scale fine :) Why lock statements don't scale as software gets bigger Deadlocks. You have a program with lots of threads picking up lots of locks. You already know that if two of your threads both try to pick up a lock that the other already has, they will deadlock. Your program will come to a grinding halt, and there will be fire and brimstone. "Easy!" you say, "Just make sure all the threads pick up the locks in the same order." Yes, that works. But you've broken composability. Now, to add a new lock to your code, you have to consider all the other locks already in your code and check that they are taken in the right order. Algorithm buffs will have noticed this approach means it takes quadratic time to write a program. That's bad. Why lock statements don't scale as hardware gets bigger Memory bus contention There's another headache, one that most programmers don't usually need to think about, but is going to bite us in a big way in a few years. Locking needs exclusive use of the entire system's memory bus while taking out the lock. That's not too bad for a single or dual-core system, but already for quad-core systems it's a pretty large overhead. Have a look at this blog about the .NET 4 ThreadPool for some numbers and a weird analogy (see the author's comment). Not too bad yet, but I'm scared my 1000 core machine of the future is going to go slower than my machine today! I don't know the answer to this problem yet. Maybe some kind of per-core work queue system with hierarchical work stealing. Definitely hardware support. But what I do know is that using locks specifically prevents any solution to this. We should be abstracting our code away from the details of locks as soon as possible, so we can swap in whatever solution arrives when it does. NAct uses locks at the moment. But my advice is that you code using actors (which do scale well as software gets bigger). And when there's a better way of implementing actors that'll scale well as hardware gets bigger, only NAct needs to work out how to use it, and your program will go fast on it's own.

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• Beginning with first project on game development [closed]

  - by Tsvetan

  Today is the day I am going to start my first real game project. It will be a Universe simulator. Basically, you can build anything from tiny meteor to quazars and universes. It is going to be my project for an olympiad in IT in my country and I really want to make it perfect(at least a bronze medal). So, I would like to ask some questions about organization and development methodologies. Firstly, my plan is to make a time schedule. In it I would write my plans for the next month or two(because that is the time I have). With this exact plan I hope to make my organisation at its best. Of course, if I am doing sth faster than the schedule I would involve more features for the game and/or continue with the tempo I have. Also, for the organisation I would make a basic pseudocode(maybe) and just rewrite it so it is compilable. Like a basic skeleton of everything. The last is an idea I tought of in the moment, but if it is good I will use it. Secondly, for the development methodologies, obviously, I think of making object-oriented code and make everything perfect(a lot of testing, good code, documentation etc.). Also, I am going to make my own menu system(I read that OpenGL hasn't got very good one). Maybe I would implement it with an xml file, holding the info about position of buttons, text boxes, images and everything. Maybe I would do a specific CSS for it and so on. I think that is very good way of doing the menu system, because it makes the presentation layer separate of the logic. But, if there is a better way, I would do it the better way. For the logic, well, I don't have much to say. OO code, testing, debuging, good and fast algorithms and so on. Also, a good documentation must be written and this is the area I need to make some research in. I think that is for now. I hope I have been enough descriptive. If more questions come on my mind, I will ask them. Edit: I think of blogging every part of the project, or at least writing down everything in a file or something like that. My question is: Is my plan of how to do everything around the project good? And if not, what is necessary to be improved and what other things I can involve for making the project good.

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• Safely deploying changes to production servers

  - by oazabir

  When you deploy incremental changes on a production server, which is running and live all the time, you some times see error messages like “Compiler Error Message: The Type ‘XXX’ exists in both…”. Sometimes you find Application_Start event not firing although you shipped a new class, dll or web.config. Sometimes you find static variables not getting initialized and so on. There are so many weird things happen on webservers when you incrementally deploy changes to the server and the server has been up and running for several weeks. So, I came up with a full proof house keeping steps that we always do whenever we deploy some incremental change to our websites. These steps ensure that the web sites are properly recycled , cached are cleared, all the data stored at Application level is initialized. First of all you should have multiple web servers behind load balancer. This way you can take one server our of the production traffic, do your deployment and house keeping tasks like restarting IIS, and then put it back. Then you can do it for the second server and so on. This ensures there’s no outage for customer. If you can do it reasonable fast, hopefully customers won’t notice discrepancy between the servers some having new code and some having old code. You should only do this when your changes aren’t drastic. For ex, you aren’t delivering a complete revamped UI. In that case, some users hitting server1 with latest UI will suddenly get a completely different experience and then on next page refresh, they might hit server2 with old code and get a totally different experience. This works for incremental non-dramatic changes only.   During deployment you should follow these steps: Take server X out of load balancer so that it does not get any traffic. Stop all windows services on the server. Stop IIS. Delete the Temporary ASP.NET folders of all .NET versions incase you have multiple .NET versions running. You can follow this link. Deploy the changes. Flush any distributed cache you have, for ex, Velocity or Memcached. Start IIS. Start the windows services on the server. Warm up all websites by hitting major URLs on the websites. You should have some automated script to do this. You can use tinyget to hit some major URLs, especially pages that take a lot of time to compile. Read my post on keeping websites warm with zero coding. Put server X back to load balancer so that it starts receiving traffic. That’s it. It should give you a clean deployment and prevent unexpected errors. You should print these steps and hang on the desk of your deployment guys so that they never forget during deployment pressure.

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• How does I/O work for large graph databases?

  - by tjb1982

  I should preface this by saying that I'm mostly a front end web developer, trained as a musician, but over the past few years I've been getting more and more into computer science. So one idea I have as a fun toy project to learn about data structures and C programming was to design and implement my own very simple database that would manage an adjacency list of posts. I don't want SQL (maybe I'll do my own query language? I'm just having fun). It should support ACID. It should be capable of storing 1TB let's say. So with that, I was trying to think of how a database even stores data, without regard to data structures necessarily. I'm working on linux, and I've read that in that world "everything is a file," including hardware (like /dev/*), so I think that that obviously has to apply to a database, too, and it clearly does--whether it's MySQL or PostgreSQL or Neo4j, the database itself is a collection of files you can see in the filesystem. That said, there would come a point in scale where loading the entire database into primary memory just wouldn't work, so it doesn't make sense to design it with that mindset (I assume). However, reading from secondary memory would be much slower and regardless some portion of the database has to be in primary memory in order for you to be able to do anything with it. I read this post: Why use a database instead of just saving your data to disk? And I found it difficult to understand how other databases, like SQLite or Neo4j, read and write from secondary memory and are still very fast (faster, it would seem, than simply writing files to the filesystem as the above question suggests). It seems the key is indexing. But even indexes need to be stored in secondary memory. They are inherently smaller than the database itself, but indexes in a very large database might be prohibitively large, too. So my question is how is I/O generally done with large databases like the one I described above that would be at least 1TB storing a big adjacency list? If indexing is more or less the answer, how exactly does indexing work--what data structures should be involved?

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• MySQL - Powering Online Media & Entertainment

  - by bertrand.matthelie(at)oracle.com

  @font-face { font-family: "Arial"; }@font-face { font-family: "Courier New"; }@font-face { font-family: "Times"; }@font-face { font-family: "Wingdings"; }@font-face { font-family: "Cambria"; }p.MsoNormal, li.MsoNormal, div.MsoNormal { margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: "Times New Roman"; }a:link, span.MsoHyperlink { color: blue; text-decoration: underline; }a:visited, span.MsoHyperlinkFollowed { color: purple; text-decoration: underline; }p { margin: 0cm 0cm 0.0001pt; font-size: 10pt; font-family: "Times New Roman"; }div.Section1 { page: Section1; }ol { margin-bottom: 0cm; }ul { margin-bottom: 0cm; } If you're reading news, watching videos, or playing games online, you're probably relying on MySQL to do so.   Facebook, YouTube, BBC News, Zynga, thePlatform and many other leading Media & Entertainment organizations chose MySQL to power their online news, gaming, social networking, advertising or other applications.   During the past decade, the Media & Entertainment industry experienced a spectacular transformation.  The mobile Internet is becoming the dominant media platform, and the boundaries between the different types of media (i.e. Print, TV, Radio, Internet) have increasingly blurred as we've gradually come to perform more and more of our daily activities online.   To better understand how MySQL can help you win in the fast paced world of Media & Entertainment, check out our whitepaper "MySQL - Powering The Online Media & Entertainment Industry" in which we cover:   ·       The key trends shaping the evolution of the media & entertainment industry.   ·       Their implications, and the requirements they place on the infrastructure of information & entertainment services providers.   ·       How you can leverage Oracle's MySQL technologies to quickly and cost-effectively deliver new highly scalable and highly available online media & entertainment applications.   You're welcome to download it here.

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• Windows Azure Recipe: High Performance Computing

  - by Clint Edmonson

  One of the most attractive ways to use a cloud platform is for parallel processing. Commonly known as high-performance computing (HPC), this approach relies on executing code on many machines at the same time. On Windows Azure, this means running many role instances simultaneously, all working in parallel to solve some problem. Doing this requires some way to schedule applications, which means distributing their work across these instances. To allow this, Windows Azure provides the HPC Scheduler. This service can work with HPC applications built to use the industry-standard Message Passing Interface (MPI). Software that does finite element analysis, such as car crash simulations, is one example of this type of application, and there are many others. The HPC Scheduler can also be used with so-called embarrassingly parallel applications, such as Monte Carlo simulations. Whatever problem is addressed, the value this component provides is the same: It handles the complex problem of scheduling parallel computing work across many Windows Azure worker role instances. Drivers Elastic compute and storage resources Cost avoidance Solution Here’s a sketch of a solution using our Windows Azure HPC SDK: Ingredients Web Role – this hosts a HPC scheduler web portal to allow web based job submission and management. It also exposes an HTTP web service API to allow other tools (including Visual Studio) to post jobs as well. Worker Role – typically multiple worker roles are enlisted, including at least one head node that schedules jobs to be run among the remaining compute nodes. Database – stores state information about the job queue and resource configuration for the solution. Blobs, Tables, Queues, Caching (optional) – many parallel algorithms persist intermediate and/or permanent data as a result of their processing. These fast, highly reliable, parallelizable storage options are all available to all the jobs being processed. Training Here is a link to online Windows Azure training labs where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure HPC Scheduler (3 labs)  The Windows Azure HPC Scheduler includes modules and features that enable you to launch and manage high-performance computing (HPC) applications and other parallel workloads within a Windows Azure service. The scheduler supports parallel computational tasks such as parametric sweeps, Message Passing Interface (MPI) processes, and service-oriented architecture (SOA) requests across your computing resources in Windows Azure. With the Windows Azure HPC Scheduler SDK, developers can create Windows Azure deployments that support scalable, compute-intensive, parallel applications. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• A Slice of Raspberry Pi

  - by Phil Factor

  Guest editorial for the ITPro/SysAdmin newsletter The Raspberry Pi Foundation has done a superb design job on their new $35 network-enabled Linux computer. This tiny machine, incorporating an ARM processor on a Broadcom BCM2835 multimedia chip, aims to put the fun back into learning computing. The public response has been overwhelmingly positive.Note that aim: "…to put the fun back". Education in Information Technology is in dire straits. It always has been, but seems to have deteriorated further still, even in the face of improved provision of equipment.In many countries, the government controls the curriculum. It predicted a shortage in office-based IT skills, and so geared the ICT curriculum toward mind-numbing training in word-processing and spreadsheet skills. Instead, the shortage has turned out to be in people with an engineering-mindset, who can solve problems with whatever technologies are available and learn new techniques quickly, in a rapidly-changing field.In retrospect, the assumption that specific training was required rather than an education was an idiotic response to the arrival of mainstream information technology. As a result, ICT became a disaster area, which discouraged a generation of youngsters from a career in IT, and thereby led directly to the shortage of people with the skills that are required to exploit the potential of Information Technology..Raspberry Pi aims to reverse the trend. This is a rig that is geared to fast graphics in high resolution. It is no toy. It should be a superb games machine. However, the use of Fedora, Debian, or Arch Linux ARM shows the more serious educational intent behind the Foundation's work. It looks like it will even do some office work too!So, get hold of any power supply that provides a 5VDC source at the required 700mA; an old Blackberry charger will do or, alternatively, it will run off four AA cells. You'll need a USB hub to support the mouse and keyboard, and maybe a hard drive. You'll want a DVI monitor (with audio out) or TV (sound and video). You'll also need to be able to cope with wired Ethernet 10/100, if you want networking.With this lot assembled, stick the paraphernalia on the back of the HDTV with Blu Tack, get a nice keyboard, and you have a classy Linux-based home computer. The major cost is in the T.V and the keyboard. If you're not already writing software for this platform, then maybe, at a time when some countries are talking of orders in the millions, you should consider it.

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• Docky have stopped working since update

  - by Fraekkert

  I'm running Ubuntu 10.10 64-bit. I'm using the Docky ppa, and since the latest update It won't start. If i run it from the terminal, this is what i get: [Info 09:21:19.005] Docky version: 2.1.0 bzr docky r1761 ppa [Info 09:21:19.024] Kernel version: 2.6.35.24 [Info 09:21:19.026] CLR version: 2.0.50727.1433 [Debug 09:21:19.493] [UserArgs] BufferTime = 0 [Debug 09:21:19.494] [UserArgs] MaxSize = 2147483647 [Debug 09:21:19.494] [UserArgs] NetbookMode = False [Debug 09:21:19.494] [UserArgs] NoPollCursor = False [Debug 09:21:19.528] [SystemService] Using org.freedesktop.UPower for battery information [Info 09:21:19.564] [ThemeService] Setting theme: Transparent [Debug 09:21:19.587] [DesktopItemService] Loading remap file '/usr/share/docky/remaps.ini'. [Debug 09:21:19.599] [DesktopItemService] Remapping 'Picasa3.exe' to 'picasa'. [Debug 09:21:19.599] [DesktopItemService] Remapping 'nbexec' to 'netbeans'. [Debug 09:21:19.599] [DesktopItemService] Remapping 'deja-dup-preferences' to 'deja-dup'. [Debug 09:21:19.599] [DesktopItemService] Remapping 'VirtualBox' to 'virtualbox'. [Warn 09:21:19.600] [DesktopItemService] Could not find remap file '/home/lasse/.local/share/docky/remaps.ini'! [Debug 09:21:19.602] [DesktopItemService] Loading desktop item cache '/home/lasse/.cache/docky/docky.desktop.en_DK.utf8.cache'. [Info 09:21:20.101] [DockServices] Dock services initialized. [Debug 09:21:20.134] [DBusManager] DBus Registered: org.gnome.Docky [Debug 09:21:20.142] [DBusManager] DBus Registered: net.launchpad.DockManager Stacktrace: at (wrapper managed-to-native) System.IO.MonoIO.Read (intptr,byte[],int,int,System.IO.MonoIOError&) <IL 0x00012, 0x00062> at (wrapper managed-to-native) System.IO.MonoIO.Read (intptr,byte[],int,int,System.IO.MonoIOError&) <IL 0x00012, 0x00062> at System.IO.FileStream.ReadData (intptr,byte[],int,int) <IL 0x00009, 0x00047> at System.IO.FileStream.RefillBuffer () <IL 0x0001c, 0x0002b> at System.IO.FileStream.ReadByte () <IL 0x00079, 0x000c7> at Mono.Addins.Serialization.BinaryXmlReader.ReadNext () <IL 0x0000b, 0x00031> at Mono.Addins.Serialization.BinaryXmlReader.Skip () <IL 0x0003c, 0x00053> at Mono.Addins.Serialization.BinaryXmlReader.Skip () <IL 0x00047, 0x0005f> at Mono.Addins.Serialization.BinaryXmlReader.Skip () <IL 0x00047, 0x0005f> And this .Skip () continues infinitely, and very fast. I've tried cleaning the cache and reinstalling docky, but without luck.

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• sell skimmed dump+pin([email protected])wu transfer,bank transfer,paypal+mailpass

  - by bestseller

  http://megareserve.blogspot.com///////// [email protected]////gmail:[email protected] Sell, Cvv, Bank Logins, Tracks, PayPal, Transfers, WU, Credit Cards, Card, Hacks, Citi, Boa, Visa, MasterCard, Amex, American Express, Make Money Fast, Stolen, Cc, C++, Adder, Western, Union, Banks, Of, America, Wellsfargo, Liberty, Reserve, Gram, Mg, LR, AlertPay ..PAYMENT METHOD LIBERTYRESERVE AND WESTERNUNION ONLY........ Ccv EU is $ 6 per ccv (Visa + Master) Ccv EU is $ 7 per ccv (Amex + Discover) Ccv Au is $ 6 per ccv Ccv Italy is 15 $ per cc sweden 12$ spain 10$ france 12$ Ccv US is $ 1.5 per ccv (Visa) Ccv US is $ 2 per ccv (master) Ccv US is $ 3 per ccv (Amex + Discover) Ccv UK is $ 5 per ccv (Visa + Master) Ccv UK is $ 6 per ccv (Amex + swith) Ccv Ca is $ 6 per ccv (Visa+ Master) Ccv Ca is $ 9 per ccv (Visa Business + Visa Gold) Ccv Germany is 14$ Per Ccv Ccv DOB with US is 15 $ per ccv Ccv DOB with UK is 19 $ per ccv Ccv DOB + BIN with UK 25$ per ccv Ccv US full info is 40 $ per ccv Ccv UK full info is 60 $ per ccv 1 Uk check bins= 12.5$/1cvv 1 Sock live = 1$/1sock live 5day yahoo:[email protected] gmail:[email protected] Balance In Chase:.........70K To 155K ========300$ Balance In Wachovia:.........24K To 80K==========180$ Balance In Boa..........75K To 450K==========400$ Balance In Credit Union:.........Any Amount:=========420$ Balance In Hallifax..........ANY AMOUNT=========420$ Balance In Compass..........ANY AMOUNT=========400$ Balance In Wellsfargo..........ANY AMOUNT=========400$ Balance In Barclays..........80K To 100K=========550$ Balance In Abbey:.........82K ==========650$ Balance in Hsbc:.........50K========650$ and more 1 Paypal with pass email = 50$/paypal 1 Paypal don't have pass email = 20$/Paypal 1 Banklogin us or uk (personel)= 550$ yahoo :[email protected] gmail :[email protected] Track 1/2 Visa Classic, MasterCard Standart US - 13$ UK - 17$ EU - 24$ AU - 26$ Track 1/2 Visa Gold | Platinum | Business | Signature, MasterCard Gold | Platinum US - 17$ UK - 20$ EU - 28$ AU - 30$ Bank transfer Balance 71.000$ CITIBANK SOUTH DAKOTA, N.A. Balance 65.000$ Wachovia: 76.000$ Abbey: 65.000£ Hsbc : 87.000$ Hallifax : 97.000£ Barclays: 110.000£ AHLI UNITED BANK --- 80.000£ LLOYDSTSB ---------- 100.000£ BANK OF SCOTLAND --- 123.000£ BOA ----------210.000$ UBS ---------- 152.000$ RBC BANK ------ 245.000$ BANK OF CANADA -------- 78.000$ BDC ---------- 281.000$ BANK LAURENTIENNE ----- 241.000$ please no test yahoo: [email protected] gmail: [email protected] website ; http://megareserve.blogspot.com Prices For Bin and Its List: 5434, 5419, 4670,374288,545140,454634,3791 with d.o.b,4049,4462,4921.4929.46274547,5506,5569,5404,5031,4921, 5505,5506,4921,4550 ,4552,4988,5186,4462,4543,4567 ,4539,5301,4929,5521 , 4291,5051,4975,5413 5255 4563,4547 4505,4563 5413 5255,5521,5506,4921,4929,54609 7,5609,54609,4543, 4975,5432,5187 ,4973,4627,4049,4779,426565,55 05, 5549, 5404, 5434, 5419, 4670,456730,541361, 451105,4670,5505, 5549, 5404, UK Nomall NO BINS(Serial) with DOB is :10$ UK with BINS(Serial) with DOB is :15$ UK Nomall no BINS(Serial) no DOB is: 6$ UK with BINS(Serial) is :12$ Please do not request : cc for TEST and FREE. DON'T CONTACT ME IF YOU NOT READY NEED TO BUY .

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• Advice on designing a robust program to handle a large library of meta-information & programs

  - by Sam Bryant

  So this might be overly vague, but here it is anyway I'm not really looking for a specific answer, but rather general design principles or direction towards resources that deal with problems like this. It's one of my first large-scale applications, and I would like to do it right. Brief Explanation My basic problem is that I have to write an application that handles a large library of meta-data, can easily modify the meta-data on-the-fly, is robust with respect to crashing, and is very efficient. (Sorta like the design parameters of iTunes, although sometimes iTunes performs more poorly than I would like). If you don't want to read the details, you can skip the rest Long Explanation Specifically I am writing a program that creates a library of image files and meta-data about these files. There is a list of tags that may or may not apply to each image. The program needs to be able to add new images, new tags, assign tags to images, and detect duplicate images, all while operating. The program contains an image Viewer which has tagging operations. The idea is that if a given image A is viewed while the library has tags T1, T2, and T3, then that image will have boolean flags for each of those tags (depending on whether the user tagged that image while it was open in the Viewer). However, prior to being viewed in the Viewer, image A would have no value for tags T1, T2, and T3. Instead it would have a "dirty" flag indicating that it is unknown whether or not A has these tags or not. The program can introduce new tags at any time (which would automatically set all images to "dirty" with respect to this new tag) This program must be fast. It must be easily able to pull up a list of images with or without a certain tag as well as images which are "dirty" with respect to a tag. It has to be crash-safe, in that if it suddenly crashes, all of the tagging information done in that session is not lost (though perhaps it's okay to loose some of it) Finally, it has to work with a lot of images (10,000) I am a fairly experienced programmer, but I have never tried to write a program with such demanding needs and I have never worked with databases. With respect to the meta-data storage, there seem to be a few design choices: Choice 1: Invidual meta-data vs centralized meta-data Individual Meta-Data: have a separate meta-data file for each image. This way, as soon as you change the meta-data for an image, it can be written to the hard disk, without having to rewrite the information for all of the other images. Centralized Meta-Data: Have a single file to hold the meta-data for every file. This would probably require meta-data writes in intervals as opposed to after every change. The benefit here is that you could keep a centralized list of all images with a given tag, ect, making the task of pulling up all images with a given tag very efficient

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