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  • Extreme Optimization – Curves (Function Mapping) Part 1

    - by JoshReuben
    Overview ·        a curve is a functional map relationship between two factors (i.e. a function - However, the word function is a reserved word). ·        You can use the EO API to create common types of functions, find zeroes and calculate derivatives - currently supports constants, lines, quadratic curves, polynomials and Chebyshev approximations. ·        A function basis is a set of functions that can be combined to form a particular class of functions.   The Curve class ·        the abstract base class from which all other curve classes are derived – it provides the following methods: ·        ValueAt(Double) - evaluates the curve at a specific point. ·        SlopeAt(Double) - evaluates the derivative ·        Integral(Double, Double) - evaluates the definite integral over a specified interval. ·        TangentAt(Double) - returns a Line curve that is the tangent to the curve at a specific point. ·        FindRoots() - attempts to find all the roots or zeroes of the curve. ·        A particular type of curve is defined by a Parameters property, of type ParameterCollection   The GeneralCurve class ·        defines a curve whose value and, optionally, derivative and integrals, are calculated using arbitrary methods. A general curve has no parameters. ·        Constructor params:  RealFunction delegates – 1 for the function, and optionally another 2 for the derivative and integral ·        If no derivative  or integral function is supplied, they are calculated via the NumericalDifferentiation  and AdaptiveIntegrator classes in the Extreme.Mathematics.Calculus namespace. // the function is 1/(1+x^2) private double f(double x) {     return 1 / (1 + x*x); }   // Its derivative is -2x/(1+x^2)^2 private double df(double x) {     double y = 1 + x*x;     return -2*x* / (y*y); }   // The integral of f is Arctan(x), which is available from the Math class. var c1 = new GeneralCurve (new RealFunction(f), new RealFunction(df), new RealFunction(System.Math.Atan)); // Find the tangent to this curve at x=1 (the Line class is derived from Curve) Line l1 = c1.TangentAt(1);

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  • SQL SERVER – Core Concepts – Elasticity, Scalability and ACID Properties – Exploring NuoDB an Elastically Scalable Database System

    - by pinaldave
    I have been recently exploring Elasticity and Scalability attributes of databases. You can see that in my earlier blog posts about NuoDB where I wanted to look at Elasticity and Scalability concepts. The concepts are very interesting, and intriguing as well. I have discussed these concepts with my friend Joyti M and together we have come up with this interesting read. The goal of this article is to answer following simple questions What is Elasticity? What is Scalability? How ACID properties vary from NOSQL Concepts? What are the prevailing problems in the current database system architectures? Why is NuoDB  an innovative and welcome change in database paradigm? Elasticity This word’s original form is used in many different ways and honestly it does do a decent job in holding things together over the years as a person grows and contracts. Within the tech world, and specifically related to software systems (database, application servers), it has come to mean a few things - allow stretching of resources without reaching the breaking point (on demand). What are resources in this context? Resources are the usual suspects – RAM/CPU/IO/Bandwidth in the form of a container (a process or bunch of processes combined as modules). When it is about increasing resources the simplest idea which comes to mind is the addition of another container. Another container means adding a brand new physical node. When it is about adding a new node there are two questions which comes to mind. 1) Can we add another node to our software system? 2) If yes, does adding new node cause downtime for the system? Let us assume we have added new node, let us see what the new needs of the system are when a new node is added. Balancing incoming requests to multiple nodes Synchronization of a shared state across multiple nodes Identification of “downstate” and resolution action to bring it to “upstate” Well, adding a new node has its advantages as well. Here are few of the positive points Throughput can increase nearly horizontally across the node throughout the system Response times of application will increase as in-between layer interactions will be improved Now, Let us put the above concepts in the perspective of a Database. When we mention the term “running out of resources” or “application is bound to resources” the resources can be CPU, Memory or Bandwidth. The regular approach to “gain scalability” in the database is to look around for bottlenecks and increase the bottlenecked resource. When we have memory as a bottleneck we look at the data buffers, locks, query plans or indexes. After a point even this is not enough as there needs to be an efficient way of managing such large workload on a “single machine” across memory and CPU bound (right kind of scheduling)  workload. We next move on to either read/write separation of the workload or functionality-based sharing so that we still have control of the individual. But this requires lots of planning and change in client systems in terms of knowing where to go/update/read and for reporting applications to “aggregate the data” in an intelligent way. What we ideally need is an intelligent layer which allows us to do these things without us getting into managing, monitoring and distributing the workload. Scalability In the context of database/applications, scalability means three main things Ability to handle normal loads without pressure E.g. X users at the Y utilization of resources (CPU, Memory, Bandwidth) on the Z kind of hardware (4 processor, 32 GB machine with 15000 RPM SATA drives and 1 GHz Network switch) with T throughput Ability to scale up to expected peak load which is greater than normal load with acceptable response times Ability to provide acceptable response times across the system E.g. Response time in S milliseconds (or agreed upon unit of measure) – 90% of the time The Issue – Need of Scale In normal cases one can plan for the load testing to test out normal, peak, and stress scenarios to ensure specific hardware meets the needs. With help from Hardware and Software partners and best practices, bottlenecks can be identified and requisite resources added to the system. Unfortunately this vertical scale is expensive and difficult to achieve and most of the operational people need the ability to scale horizontally. This helps in getting better throughput as there are physical limits in terms of adding resources (Memory, CPU, Bandwidth and Storage) indefinitely. Today we have different options to achieve scalability: Read & Write Separation The idea here is to do actual writes to one store and configure slaves receiving the latest data with acceptable delays. Slaves can be used for balancing out reads. We can also explore functional separation or sharing as well. We can separate data operations by a specific identifier (e.g. region, year, month) and consolidate it for reporting purposes. For functional separation the major disadvantage is when schema changes or workload pattern changes. As the requirement grows one still needs to deal with scale need in manual ways by providing an abstraction in the middle tier code. Using NOSQL solutions The idea is to flatten out the structures in general to keep all values which are retrieved together at the same store and provide flexible schema. The issue with the stores is that they are compromising on mostly consistency (no ACID guarantees) and one has to use NON-SQL dialect to work with the store. The other major issue is about education with NOSQL solutions. Would one really want to make these compromises on the ability to connect and retrieve in simple SQL manner and learn other skill sets? Or for that matter give up on ACID guarantee and start dealing with consistency issues? Hybrid Deployment – Mac, Linux, Cloud, and Windows One of the challenges today that we see across On-premise vs Cloud infrastructure is a difference in abilities. Take for example SQL Azure – it is wonderful in its concepts of throttling (as it is shared deployment) of resources and ability to scale using federation. However, the same abilities are not available on premise. This is not a mistake, mind you – but a compromise of the sweet spot of workloads, customer requirements and operational SLAs which can be supported by the team. In today’s world it is imperative that databases are available across operating systems – which are a commodity and used by developers of all hues. An Ideal Database Ability List A system which allows a linear scale of the system (increase in throughput with reasonable response time) with the addition of resources A system which does not compromise on the ACID guarantees and require developers to learn new paradigms A system which does not force fit a new way interacting with database by learning Non-SQL dialect A system which does not force fit its mechanisms for providing availability across its various modules. Well NuoDB is the first database which has all of the above abilities and much more. In future articles I will cover my hands-on experience with it. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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  • Announcing: Oracle Database 11g R2 Certification on Oracle Linux 6

    - by Monica Kumar
    Oracle Announces the Certification of the Oracle Database on Oracle Linux 6 and Red Hat Enterprise Linux 6 Yesterday we announced the certification of Oracle Database 11g R2 with Oracle Linux 6 and Unbreakable Enterprise Kernel. Here are the key highlights: Oracle Database 11g Release 2 (R2) and Oracle Fusion Middleware 11g Release 1 (R1) are immediately available on Oracle Linux 6 with the Unbreakable Enterprise Kernel. Oracle Database 11g R2 and Oracle Fusion Middleware 11g R1 will be available on Red Hat Enterprise Linux 6 (RHEL6) and Oracle Linux 6 with the Red Hat Compatible Kernel in 90 days. Oracle offers direct Linux support to customers running RHEL6, Oracle Linux 6, or a combination of both. Oracle Linux will continue to maintain compatibility with Red Hat Linux. Read the full press release. 

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  • Using Live Data in Database Development Work

    - by Phil Factor
    Guest Editorial for Simple-Talk Newsletter... in which Phil Factor reacts with some exasperation when coming across a report that a majority of companies were still using financial and personal data for both developing and testing database applications. If you routinely test your development work using real production data that contains personal or financial information, you are probably being irresponsible, and at worst, risking a heavy financial penalty for your company. Surprisingly, over 80% of financial companies still do this. Plenty of data breaches and fraud have happened from the use of real data for testing, and a data breach is a nightmare for any organisation that suffers one. The cost of each data breach averages out at around $7.2 million in the US in notification, escalation, credit monitoring, fines, litigation, legal costs, and lost business due to customer churn, £1.9 million in the UK. 70% of data breaches are done from within the organisation. Real data can be exploited in a number of ways for malicious or criminal purposes. It isn't just the obvious use of items such as name and address, date of birth, social security number, and credit card and bank account numbers: Data can be exploited in many subtle ways, so there are excellent reasons to ensure that a high priority is given to the detection and prevention of any data breaches. You'll never successfully guess all the ways that real data can be exploited maliciously, or the ease with which it can be accessed. It would be silly to argue that developers never need access to a copy of the database containing live data. Developers sometimes need to track a bug that can only be replicated on the data from the live database. However, it has to be done in a very restrictive harness. The law makes no distinction between development and production databases when a data breach occurs, so the data has to be held with all appropriate security measures in place. In Europe, the use of personal data for testing requires the explicit consent of the people whose data is being held. There are federal standards such as GLBA, PCI DSS and HIPAA, and most US States have privacy legislation. The task of ensuring compliance and tight security in such circumstances is an expensive and time-consuming overhead. The developer is likely to suffer investigation if a data breach occurs, even if the company manages to stay in business. Ironically, the use of copies of live data isn't usually the most effective way to develop or test your data. Data is usually time-specific and isn't usually current by the time it is used for testing, Existing data doesn't help much for new functionality, and every time the data is refreshed from production, any test data is likely to be overwritten. Also, it is not always going to test all the 'edge' conditions that are likely to flush out bugs. You still have the task of simulating the dynamics of actual usage of the database, and here you have no alternative to creating 'spoofed' data. Because of the complexities of relational data, It used to be that there was no realistic alternative to developing and testing with live data. However, this is no longer the case. Real data can be obfuscated, or it can be created entirely from scratch. The latter process used to be impractical, now that there are plenty of third-party tools to choose from. The process of obfuscation isn't risk free. The process must access the live data, and the success of the obfuscation process has to be carefully monitored. Database data security isn't an exciting topic to you or I, but to a hacker it can be an all-consuming obsession, especially if there is financial or political gain involved. This is not the sort of adversary one would wish for and it is far better to accept, and work with, security restrictions that exist for using live data in database development work, especially when the tools exist to create large realistic database test data that can be better for several aspects of testing.

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  • Oracle Database 11g Release 2: Optimized for SAP

    - by jenny.gelhausen
    With the release of Oracle Database 11g Release 2 Enterprise Edition, Oracle has further enhanced its long-standing commitment to joint Oracle and SAP AG customers. Get more details on the release. The Oracle Database Insider sat down with Gerhard Kuppler, senior director Corporate SAP Account at Oracle, to find out just how much Oracle Database 11g Release 2 can impact SAP customers. Check out the interview details.

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  • Announcement: Oracle Database Appliance 2.4 patch update now available

    - by uwes
    The Oracle Database Appliance 2.4 patch is now available from My Oracle Support (MOS).  If you search for the Oracle Database Appliance 2.4.0.0.0 Kit under Patches it will display the newly uploaded bundles. The patch highlights include: Normal redundancy (double-mirroring) option providing 6TB of usable storage Enhanced Diagnostics - Trace File Analyzer and ODACHK Also, if you review the README, you may see content that says:        "The grid infrastructure and database patching, both are rolling upgradable. During our patching, we patch the node 1 first and when completed, we patch the node 2." I would like to clarify that the 'infrastructure' updates (OS, Firmware, ILOM, etc) will require a  short downtime of the ODA while it is applied.  When you update the grid infrastructure (--gi), the appliance manager verifies that the infrastructure was updated so you cannot just patch the GI without first updating the infrastructure. The high level update patch steps include (but not limited to): Download patch update to your ODA The --infra (infrastructure) is updated and ODA Databases are down and the ODA is/may be rebooted ODA and GI/Databases are restarted Issue the command to update the Grid Infrastructure/databases (The order of the steps are completed automatically and you cannot control when the nodes are brought up and down during the patching) Node 1 -- shutdown databases and GI Node 1 -- patch GI/database Node 1 -- bring up databases and GI Node 2 -- shutdown databases and GI Node 2 -- patch GI/database Node 2 -- bring up databases and GI A replay from Friday's with Sohan on the 2.4 release can be found here.  The PDF of the presentation is here. The Data Sheet, WP, and 2.4 Configurator are available on the ODA OTN site.

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  • The Database as Intellectual Property

    - by Jonathan Kehayias
    Every so often, a question shows up on the forums in the form of, “How do I prevent anyone from accessing my database schema, including local administrators and sysadmins in SQL Server?”  I usually laugh a little shake my head when I read a question like this because it demonstrates an complete lack of understanding of the power an administrator has over SQL Server.  The simple answer is this: If you don’t want your database schema to ever be accessed or known, don’t distribute your database....(read more)

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  • Add a database to use with locate command

    - by Pedro Teran
    i would like to know if anyone knows how I can create a database of a file system on my computer. so I can choose this data base to search for files on this file system efficiently. I ask this question since in man locate I found that I can choose a database for a different file system. Also would be grate if /var/lib/mlocate/mlocate.db database can have the data of 2 disks any approach ideas or others would be greatly appreciated

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  • Unable to add users to Microsoft Dynamics CRM 4.0 after database restore

    - by Wes Weeks
    Working with a client in our Multi-tenant CRM environment who was doing a database migration into CRM and as part of the process, a backup of their Organization_MSCRM database was taken just prior to starting the migration in case it needed to be restored and run a second time. In this case it did, so I restored the database and let the client know he should be good to go.  A few hours later I received a call that they were unable to add some new users, they would appear as available when using the add multiple user wizard, but anyone added would not be added to CRM.  It was also disucussed that these users had been added to CRM initally AFTER the database backup had been taken. I turned on tracing and tried to add the users through both the single user form and multiple user interface and was unable to do so.  The error message in the logs wasn't much help: Unexpected error adding user [email protected]: Microsoft.Crm.CrmException: INVALID_WRPC_TOKEN: Validate WRPC Token: WRPCTokenState=Invalid, TOKEN_EXPIRY=4320, IGNORE_TOKEN=False Searching on Google or bing didn't offer any assitance.  Apparently not a very common problem, or no one has been able to resolve. I did some searching in the MSCRM_CONFIG database and found that their are several user tables there and after getting my head around the structure found that there were enties here for users that were not part of the restored DB.  It seems that new users are added to both the Orgnaization_MSCRM and MSCRM_CONFIG and after the restore these were out of sync. I needed to remove the extra entries in order to address.  Restoring the MSCRM_CONFIG database was not an option as other clients could have been adding users at this point and to restore would risk breaking their instances of CRM.  Long story short, I was finally able to generate a script to remove the bad entries and when I tried to add users again, I was succesful.  In case someone else out there finds themselves in a similar situation, here is the script I used to delete the bad entries. DECLARE @UsersToDelete TABLE (   UserId uniqueidentifier )   Insert Into @UsersToDelete(UserId) Select UserId from [MSCRM_CONFIG].[dbo].[SystemUserOrganizations] Where CrmuserId Not in (select systemuserid from Organization_MSCRM.dbo.SystemUserBase) And OrganizationId = '00000000-643F-E011-0000-0050568572A1' --Id From the Organization table for this instance   Delete From [MSCRM_CONFIG].[dbo].[SystemUserAuthentication]   Where UserId in (Select UserId From @UsersToDelete)   Delete From [MSCRM_CONFIG].[dbo].[SystemUserOrganizations] Where UserId in (Select UserId From @UsersToDelete)   Delete From [MSCRM_CONFIG].[dbo].[SystemUser] Where Id in (Select UserId From @UsersToDelete)

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  • Oracle Database As Seen at Sapphire 2010

    - by jenny.gelhausen
    Seen around the Orange County Convention Center in Orlando Florida at the May 16-19th SAPPHIRE 2010 conference Oracle Database is the #1 Database for SAP applications Oracle Database 11g Release 2 is available for SAP. By upgrading you can lower the cost of your SAP applications infrastructure and improve your quality of service, so we encourage you to consider the upgrade.

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  • Oracle Database 11g Release 2 for Windows available!

    - by Mike Dietrich
    Hi there, just returned from vacation - and the Easter bunny (was its name Tux??) just delivered the Windows release (32bit and 64bit) of Oracle Database 11g Release 2. It's available for download from edelivery.oracle.com or OTN: Oracle Database 11g Release 2 for Windows 32-bit Oracle Database 11g Release 2 for Windows 64-bit And if you wonder yourself why it took sooooooo long to release Oracle Database 11g Release 2 on the Windows platform: The developers have incorporated a lot of the available fixes on top of 11.2.0.1.0 - so it's more a 11.2.0.1.1/2 ;-) And don't forget to download the newest version of rhe upgrade slides: http://apex.oracle.com/folien Use the keyword (Schluesselwort): upgrade112

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  • NoFollow and DoFollow Blog - Comment Links Affect Search Engine Optimization

    Many sellers of information products leave comments on blogs, especially popular ones with high Google PageRank, thinking that they are getting those good inbound links to their sites. But there's a problem. Most blogs put a "No Follow" tag in the link to your website. Sure, readers can click on it and check you out, and that's a good thing. But you get no SEO benefit.

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  • Optimization and Saving/Loading

    - by MrPlosion1243
    I'm developing a 2D tile based game and I have a few questions regarding it. First I would like to know if this is the correct way to structure my Tile class: namespace TileGame.Engine { public enum TileType { Air, Stone } class Tile { TileType type; bool collidable; static Tile air = new Tile(TileType.Air); static Tile stone = new Tile(TileType.Stone); public Tile(TileType type) { this.type = type; collidable = true; } } } With this method I just say world[y, x] = Tile.Stone and this seems right to me but I'm not a very experienced coder and would like assistance. Now the reason I doubt this so much is because I like everything to be as optimized as possible and there is a major flaw in this that I need help overcoming. It has to do with saving and loading... well more on loading actually. The way it's done relies on the principle of casting an enumeration into a byte which gives you the corresponding number where its declared in the enumeration. Each TileType is cast as a byte and written out to a file. So TileType.Air would appear as 0 and TileType.Stone would appear as 1 in the file (well in byte form obviously). Loading in the file is alot different though because I can't just loop through all the bytes in the file cast them as a TileType and assign it: for(int x = 0; x < size.X; x++) { for(int y = 0; y < size.Y; y+) { world[y, x].Type = (TileType)byteReader.ReadByte(); } } This just wont work presumably because I have to actually say world[y, x] = Tile.Stone as apposed to world[y, x].Type = TileType.Stone. In order to be able to say that I need a gigantic switch case statement (I only have 2 tiles but you could imagine what it would look like with hundreds): Tile tile; for(int x = 0; x < size.X; x++) { for(int y = 0; y < size.Y; y+) { switch(byteReader.ReadByte()){ case 0: tile = Tile.Air; break; case 1: tile = Tile.Stone; break; } world[y, x] = tile; } } Now you can see how unoptimized this is and I don't know what to do. I would really just like to cast the byte as a TileType and use that but as said before I have to say world[y, x] = Tile.whatever and TileType can't be used this way. So what should I do? I would imagine I need to restructure my Tile class to fit the requirements but I don't know how I would do that. Please help! Thanks.

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  • jMonkey Quest Database

    - by theJollySin
    I am building a game in jMonkey (Java) and I have so far only used default quest text. But now I need to start populating a lot of quests with text. My design requires A LOT of quests texts. What is the best way to build a database of quest texts in jMonkey? I don't have a lot of real experience with databases. Is there a database that integrates well with jMonkey? Here are the ideal properties I want in my database, in order of priority: Reasonably light learning curve Easy portability (in Java) to Windows, Linux, and Mac OSX Good interface with Java Good interface with jMonkey The ability to add properties to the quests: ID, level, gender, quest chain ID, etc. Or am I wrong in thinking I need to use some giant monster like SQL? I haven't been able to find much information on this, so are people using some non-database methods for storing things like quest text in jMonkey?

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  • iPhone site optimization: Custom viewport size

    - by Brandon Durham
    I've got a site that should max out a 575px on the iphone and wanted to know what the best method is for defaulting the viewport to this size. Currently I am using this meta tag: <meta name="viewport" content="width=575; user-scalable=no;"> This displays some odd behavior in that it loads fully zoomed out and then, once the page is loaded, zooms in to 575. What are the best methods to ensure that my site will surely display at 575px wide in mobile browsers?

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  • Extreme Optimization –Mathematical Constants and Basic Functions

    - by JoshReuben
    Machine constants The MachineConstants class - contains constants for floating-point arithmetic because the CLS System.Single and Double floating-point types do not follow the standard conventions and are useless. machine constants for the Double type: machine precision: Epsilon , SqrtEpsilon CubeRootEpsilon largest possible value: MaxDouble , SqrtMaxDouble, LogMaxDouble smallest Double-precision floating point number that is greater than zero: MinDouble , SqrtMinDouble , LogMinDouble A similar set of constants is available for the Single Datatype  Mathematical Constants The Constants class contains static fields for many mathematical constants and common expressions involving small integers – if you are doing thousands of iterations, you wouldn't want to calculate OneOverSqrtTwoPi , Sqrt17 or Log17 !!! Fundamental constants E - The base for the natural logarithm, e (2.718...). EulersConstant - (0.577...). GoldenRatio - (1.618...). Pi - the ratio between the circumference and the diameter of a circle (3.1415...). Expressions involving fundamental constants: TwoPi, PiOverTwo, PiOverFour, LogTwoPi, PiSquared, SqrPi, SqrtTwoPi, OneOverSqrtPi, OneOverSqrtTwoPi Square roots of small integers: Sqrt2, Sqrt3, Sqrt5, Sqrt7, Sqrt17 Logarithms of small integers: Log2, Log3, Log10, Log17, InvLog10  Elementary Functions The IterativeAlgorithm<T> class in the Extreme.Mathematics namespace defines many elementary functions that are missing from System.Math. Hyperbolic Trig Functions: Cosh, Coth, Csch, Sinh, Sech, Tanh Inverse Hyperbolic Trig Functions: Acosh, Acoth, Acsch, Asinh, Asech, Atanh Exponential, Logarithmic and Miscellaneous Functions: ExpMinus1 - The exponential function minus one, ex-1. Hypot - The hypotenuse of a right-angled triangle with specified sides. LambertW - Lambert's W function, the (real) solution W of x=WeW. Log1PlusX - The natural logarithm of 1+x. Pow - A number raised to an integer power.

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  • Importance of SEO Optimization In Today?s Era

    The internet has revolutionized our lives. Whenever we have a question or a doubt, we go online and search it on Google. This search engine has a dazzling proven record of accomplishment and is a hou... [Author: Katrina Wagner - Web Design and Development - March 29, 2010]

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  • Shader optimization - cg/hlsl pseudo and via multiplication

    - by teodron
    Since HLSL/Cg do not allow texture fetching inside conditional blocks, I am first checking a variable and performing some computations, afterwards setting a float flag to 0.0 or 1.0, depending on the computations. I'd like to trigger a texture fetch only if the flag is 1.0 or not null, for that matter of fact. I kind of hoped this would do the trick: float4 TU0_atlas_colour = pseudoBool * tex2Dlod(TU0_texture, float4(tileCoord, 0, mipLevel)); That is, if pseudoBool is 0, will the texture fetch function still be called and produce overhead? I was hoping to prevent it from getting executed via this trick that usually works in plain C/C++.

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  • Oracle Database 11g Release 2 Now Available on 32-bit and x64 Windows

    - by jenny.gelhausen
    Oracle Database 11g Release 2 provides the foundation for IT to successfully deliver more information with higher quality of service, reduce the risk of change within IT, and make more efficient use of their IT budgets. By deploying Oracle Database 11g Release 2 as their data management foundation, organizations can utilize the full power of the world's leading database. Now Oracle Database 11g Release 2 is available for organizations using 32-bit and x64 Windows. Download either on OTN 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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  • Larry Ellison Unveils Oracle Database In-Memory

    - by jgelhaus
    A Breakthrough Technology, Which Turns the Promise of Real-Time into a Reality Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with virtually any existing Oracle Database compatible application is as easy as flipping a switch--no application changes are required. It is fully integrated with Oracle Database's scale-up, scale-out, storage tiering, availability and security technologies making it the most industrial-strength offering in the industry. Learn More Read the Press Release Get Product Details View the Webcast On-Demand Replay Follow the conversation #DB12c #OracleDBIM

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  • Cloud computing - database loading question

    - by workwise
    Following is the situation, I want to know whether what I want is possible in cloud computing and is it the best way for me: 1) My main site has a Database with tables with millions of rows, and entries are added almost every second. 2) I will setup a mysql mirror, so there will be a backup database always in sync with the main one. 3) There are few tens of thousands of images- growing. So say total size of images few tens of gigabytes. I will be keeping the image data also in sync on the backup server. 4) There can be short periods where traffic can go 100X the average traffic. 5) I will be using memcache heavily - most database and even frequently used disk files/images will be in RAM. I want that the main site runs on a dedicated server. The backup server is say an Amazon EC2 instance. Now note that since it is live backup, I need to run a small instance continuously. I want that when I anticipate high traffic, I should be able to run a large instance on the cloud and transfer the traffic there. The main point is - I do not want to spend time in "loading" the database on the large instance, as it typically can take few minutes or even hours (experience). So is it possible to just scale the memory/CPU on demand, and not having to load the database or sync up the filesystem? I want to setup my backup scripts etc just ONCE. Thanks JP

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